id	sid	tid	token	lemma	pos
flr-675	1	1	codepen	codepen	VERB
flr-675	1	2	6	6	NUM
flr-675	1	3	.	.	PUNCT
flr-675	2	1	balloo	balloo	ADJ
flr-675	2	2	frontline	frontline	NOUN
flr-675	2	3	learning	learn	VERB
flr-675	2	4	research	research	NOUN
flr-675	2	5	frontline	frontline	NOUN
flr-675	2	6	learning	learn	VERB
flr-675	2	7	research	research	NOUN
flr-675	2	8	special	special	ADJ
flr-675	2	9	issue	issue	NOUN
flr-675	2	10	vol.9	vol.9	PROPN
flr-675	2	11	no.2	no.2	PROPN
flr-675	2	12	(	(	PUNCT
flr-675	2	13	2021	2021	NUM
flr-675	2	14	)	)	PUNCT
flr-675	2	15	121	121	NUM
flr-675	2	16	144	144	NUM
flr-675	2	17	issn	issn	PROPN
flr-675	2	18	2295	2295	NUM
flr-675	2	19	-	-	SYM
flr-675	2	20	3159	3159	NUM
flr-675	2	21	a	a	DET
flr-675	2	22	primer	primer	NOUN
flr-675	2	23	on	on	ADP
flr-675	2	24	gathering	gather	VERB
flr-675	2	25	and	and	CCONJ
flr-675	2	26	analysing	analyse	VERB
flr-675	2	27	multi	multi	ADJ
flr-675	2	28	-	-	ADJ
flr-675	2	29	level	level	ADJ
flr-675	2	30	quantitative	quantitative	ADJ
flr-675	2	31	evidence	evidence	NOUN
flr-675	2	32	for	for	ADP
flr-675	2	33	differential	differential	ADJ
flr-675	2	34	student	student	NOUN
flr-675	2	35	outcomes	outcome	NOUN
flr-675	2	36	in	in	ADP
flr-675	2	37	higher	high	ADJ
flr-675	2	38	education	education	NOUN
flr-675	2	39	kieran	kieran	PROPN
flr-675	2	40	balloo1	balloo1	PROPN
flr-675	2	41	,	,	PUNCT
flr-675	2	42	naomi	naomi	PROPN
flr-675	2	43	e.	e.	PROPN
flr-675	2	44	winstone1	winstone1	PROPN
flr-675	3	1	1surrey	1surrey	NUM
flr-675	3	2	institute	institute	NOUN
flr-675	3	3	of	of	ADP
flr-675	3	4	education	education	NOUN
flr-675	3	5	,	,	PUNCT
flr-675	3	6	university	university	NOUN
flr-675	3	7	of	of	ADP
flr-675	3	8	surrey	surrey	PROPN
flr-675	3	9	,	,	PUNCT
flr-675	3	10	uk	uk	PROPN
flr-675	3	11	article	article	NOUN
flr-675	3	12	received	receive	VERB
flr-675	3	13	18	18	NUM
flr-675	3	14	may	may	AUX
flr-675	3	15	2020/	2020/	NUM
flr-675	3	16	revised	revise	VERB
flr-675	3	17	22	22	NUM
flr-675	3	18	september	september	PROPN
flr-675	3	19	/	/	PUNCT
flr-675	3	20	accepted	accept	VERB
flr-675	3	21	21	21	NUM
flr-675	3	22	october/	october/	NUM
flr-675	3	23	available	available	ADJ
flr-675	3	24	online	online	ADJ
flr-675	3	25	12	12	NUM
flr-675	3	26	march	march	NOUN
flr-675	3	27	abstract	abstract	NOUN
flr-675	3	28	a	a	DET
flr-675	3	29	significant	significant	ADJ
flr-675	3	30	challenge	challenge	NOUN
flr-675	3	31	currently	currently	ADV
flr-675	3	32	facing	face	VERB
flr-675	3	33	the	the	DET
flr-675	3	34	higher	high	ADJ
flr-675	3	35	education	education	NOUN
flr-675	3	36	sector	sector	NOUN
flr-675	3	37	is	be	AUX
flr-675	3	38	how	how	SCONJ
flr-675	3	39	to	to	PART
flr-675	3	40	address	address	VERB
flr-675	3	41	differential	differential	ADJ
flr-675	3	42	student	student	NOUN
flr-675	3	43	outcomes	outcome	NOUN
flr-675	3	44	in	in	ADP
flr-675	3	45	terms	term	NOUN
flr-675	3	46	of	of	ADP
flr-675	3	47	attainment	attainment	NOUN
flr-675	3	48	and	and	CCONJ
flr-675	3	49	continuation	continuation	NOUN
flr-675	3	50	gaps	gap	NOUN
flr-675	3	51	at	at	ADP
flr-675	3	52	various	various	ADJ
flr-675	3	53	stages	stage	NOUN
flr-675	3	54	of	of	ADP
flr-675	3	55	students	student	NOUN
flr-675	3	56	’	'	PUNCT
flr-675	3	57	transitions	transition	NOUN
flr-675	3	58	.	.	PUNCT
flr-675	4	1	worryingly	worryingly	ADV
flr-675	4	2	,	,	PUNCT
flr-675	4	3	there	there	PRON
flr-675	4	4	appears	appear	VERB
flr-675	4	5	to	to	PART
flr-675	4	6	be	be	AUX
flr-675	4	7	a	a	DET
flr-675	4	8	‘	'	PUNCT
flr-675	4	9	deficit	deficit	NOUN
flr-675	4	10	’	'	PUNCT
flr-675	4	11	discourse	discourse	NOUN
flr-675	4	12	among	among	ADP
flr-675	4	13	some	some	DET
flr-675	4	14	university	university	NOUN
flr-675	4	15	staff	staff	NOUN
flr-675	4	16	in	in	ADP
flr-675	4	17	which	which	PRON
flr-675	4	18	differential	differential	NOUN
flr-675	4	19	outcomes	outcome	NOUN
flr-675	4	20	are	be	AUX
flr-675	4	21	perceived	perceive	VERB
flr-675	4	22	to	to	PART
flr-675	4	23	be	be	AUX
flr-675	4	24	due	due	ADJ
flr-675	4	25	to	to	ADP
flr-675	4	26	student	student	NOUN
flr-675	4	27	deficiencies	deficiency	NOUN
flr-675	4	28	.	.	PUNCT
flr-675	5	1	this	this	PRON
flr-675	5	2	may	may	AUX
flr-675	5	3	be	be	AUX
flr-675	5	4	exacerbated	exacerbate	VERB
flr-675	5	5	by	by	ADP
flr-675	5	6	institutional	institutional	ADJ
flr-675	5	7	analyses	analysis	NOUN
flr-675	5	8	placing	place	VERB
flr-675	5	9	an	an	DET
flr-675	5	10	over	over	NOUN
flr-675	5	11	-	-	PUNCT
flr-675	5	12	emphasis	emphasis	NOUN
flr-675	5	13	on	on	ADP
flr-675	5	14	the	the	DET
flr-675	5	15	presence	presence	NOUN
flr-675	5	16	of	of	ADP
flr-675	5	17	the	the	DET
flr-675	5	18	gaps	gap	NOUN
flr-675	5	19	rather	rather	ADV
flr-675	5	20	than	than	ADP
flr-675	5	21	the	the	DET
flr-675	5	22	causes	cause	NOUN
flr-675	5	23	.	.	PUNCT
flr-675	6	1	the	the	DET
flr-675	6	2	purpose	purpose	NOUN
flr-675	6	3	of	of	ADP
flr-675	6	4	this	this	DET
flr-675	6	5	primer	primer	NOUN
flr-675	6	6	is	be	AUX
flr-675	6	7	to	to	PART
flr-675	6	8	provide	provide	VERB
flr-675	6	9	advice	advice	NOUN
flr-675	6	10	about	about	ADP
flr-675	6	11	how	how	SCONJ
flr-675	6	12	institutions	institution	NOUN
flr-675	6	13	can	can	AUX
flr-675	6	14	carry	carry	VERB
flr-675	6	15	out	out	ADP
flr-675	6	16	far	far	ADV
flr-675	6	17	more	more	ADV
flr-675	6	18	nuanced	nuanced	ADJ
flr-675	6	19	analyses	analysis	NOUN
flr-675	6	20	of	of	ADP
flr-675	6	21	their	their	PRON
flr-675	6	22	institutional	institutional	ADJ
flr-675	6	23	data	datum	NOUN
flr-675	6	24	without	without	ADP
flr-675	6	25	requiring	require	VERB
flr-675	6	26	specialist	specialist	ADJ
flr-675	6	27	software	software	NOUN
flr-675	6	28	or	or	CCONJ
flr-675	6	29	expertise	expertise	NOUN
flr-675	6	30	.	.	PUNCT
flr-675	7	1	drawing	draw	VERB
flr-675	7	2	on	on	ADP
flr-675	7	3	a	a	DET
flr-675	7	4	multi	multi	ADJ
flr-675	7	5	-	-	ADJ
flr-675	7	6	level	level	ADJ
flr-675	7	7	framework	framework	NOUN
flr-675	7	8	for	for	ADP
flr-675	7	9	explaining	explain	VERB
flr-675	7	10	differential	differential	ADJ
flr-675	7	11	outcomes	outcome	NOUN
flr-675	7	12	,	,	PUNCT
flr-675	7	13	we	we	PRON
flr-675	7	14	begin	begin	VERB
flr-675	7	15	with	with	ADP
flr-675	7	16	guidance	guidance	NOUN
flr-675	7	17	for	for	ADP
flr-675	7	18	gathering	gather	VERB
flr-675	7	19	quantitative	quantitative	ADJ
flr-675	7	20	data	datum	NOUN
flr-675	7	21	on	on	ADP
flr-675	7	22	explanatory	explanatory	ADJ
flr-675	7	23	factors	factor	NOUN
flr-675	7	24	for	for	ADP
flr-675	7	25	attainment	attainment	ADJ
flr-675	7	26	and	and	CCONJ
flr-675	7	27	continuation	continuation	NOUN
flr-675	7	28	gaps	gap	NOUN
flr-675	7	29	,	,	PUNCT
flr-675	7	30	largely	largely	ADV
flr-675	7	31	by	by	ADP
flr-675	7	32	linking	link	VERB
flr-675	7	33	sources	source	NOUN
flr-675	7	34	of	of	ADP
flr-675	7	35	internal	internal	ADJ
flr-675	7	36	data	datum	NOUN
flr-675	7	37	that	that	PRON
flr-675	7	38	have	have	AUX
flr-675	7	39	not	not	PART
flr-675	7	40	previously	previously	ADV
flr-675	7	41	been	be	AUX
flr-675	7	42	connected	connect	VERB
flr-675	7	43	.	.	PUNCT
flr-675	8	1	using	use	VERB
flr-675	8	2	illustrative	illustrative	ADJ
flr-675	8	3	examples	example	NOUN
flr-675	8	4	,	,	PUNCT
flr-675	8	5	we	we	PRON
flr-675	8	6	then	then	ADV
flr-675	8	7	provide	provide	VERB
flr-675	8	8	tutorials	tutorial	NOUN
flr-675	8	9	for	for	ADP
flr-675	8	10	how	how	SCONJ
flr-675	8	11	to	to	PART
flr-675	8	12	model	model	VERB
flr-675	8	13	explanatory	explanatory	ADJ
flr-675	8	14	factors	factor	NOUN
flr-675	8	15	employing	employ	VERB
flr-675	8	16	ibm	ibm	PROPN
flr-675	8	17	spss	spss	PROPN
flr-675	8	18	statistics	statistic	NOUN
flr-675	8	19	(	(	PUNCT
flr-675	8	20	ibm	ibm	PROPN
flr-675	8	21	corp	corp	PROPN
flr-675	8	22	.	.	PROPN
flr-675	8	23	,	,	PUNCT
flr-675	8	24	armonk	armonk	PROPN
flr-675	8	25	,	,	PUNCT
flr-675	8	26	ny	ny	PROPN
flr-675	8	27	,	,	PUNCT
flr-675	8	28	usa	usa	PROPN
flr-675	8	29	)	)	PUNCT
flr-675	8	30	to	to	PART
flr-675	8	31	perform	perform	VERB
flr-675	8	32	and	and	CCONJ
flr-675	8	33	interpret	interpret	VERB
flr-675	8	34	regression	regression	NOUN
flr-675	8	35	and	and	CCONJ
flr-675	8	36	meta	meta	ADJ
flr-675	8	37	-	-	PUNCT
flr-675	8	38	regression	regression	NOUN
flr-675	8	39	analyses	analysis	NOUN
flr-675	8	40	of	of	ADP
flr-675	8	41	individualand	individualand	NOUN
flr-675	8	42	group	group	NOUN
flr-675	8	43	-	-	PUNCT
flr-675	8	44	level	level	NOUN
flr-675	8	45	(	(	PUNCT
flr-675	8	46	aggregated	aggregate	VERB
flr-675	8	47	)	)	PUNCT
flr-675	8	48	student	student	NOUN
flr-675	8	49	data	datum	NOUN
flr-675	8	50	,	,	PUNCT
flr-675	8	51	combined	combine	VERB
flr-675	8	52	with	with	ADP
flr-675	8	53	data	datum	NOUN
flr-675	8	54	on	on	ADP
flr-675	8	55	microand	microand	NOUN
flr-675	8	56	meso	meso	NOUN
flr-675	8	57	-	-	PUNCT
flr-675	8	58	level	level	NOUN
flr-675	8	59	factors	factor	NOUN
flr-675	8	60	.	.	PUNCT
flr-675	9	1	we	we	PRON
flr-675	9	2	propose	propose	VERB
flr-675	9	3	that	that	SCONJ
flr-675	9	4	university	university	NOUN
flr-675	9	5	staff	staff	NOUN
flr-675	9	6	with	with	ADP
flr-675	9	7	strategic	strategic	ADJ
flr-675	9	8	responsibilities	responsibility	NOUN
flr-675	9	9	could	could	AUX
flr-675	9	10	use	use	VERB
flr-675	9	11	these	these	DET
flr-675	9	12	approaches	approach	NOUN
flr-675	9	13	with	with	ADP
flr-675	9	14	their	their	PRON
flr-675	9	15	institutional	institutional	ADJ
flr-675	9	16	data	datum	NOUN
flr-675	9	17	,	,	PUNCT
flr-675	9	18	and	and	CCONJ
flr-675	9	19	the	the	DET
flr-675	9	20	findings	finding	NOUN
flr-675	9	21	could	could	AUX
flr-675	9	22	then	then	ADV
flr-675	9	23	inform	inform	VERB
flr-675	9	24	the	the	DET
flr-675	9	25	design	design	NOUN
flr-675	9	26	of	of	ADP
flr-675	9	27	context	context	NOUN
flr-675	9	28	-	-	PUNCT
flr-675	9	29	specific	specific	ADJ
flr-675	9	30	interventions	intervention	NOUN
flr-675	9	31	that	that	PRON
flr-675	9	32	focus	focus	VERB
flr-675	9	33	on	on	ADP
flr-675	9	34	changing	change	VERB
flr-675	9	35	practices	practice	NOUN
flr-675	9	36	associated	associate	VERB
flr-675	9	37	with	with	ADP
flr-675	9	38	gaps	gap	NOUN
flr-675	9	39	.	.	PUNCT
flr-675	10	1	in	in	ADP
flr-675	10	2	doing	do	VERB
flr-675	10	3	so	so	ADV
flr-675	10	4	,	,	PUNCT
flr-675	10	5	institutions	institution	NOUN
flr-675	10	6	could	could	AUX
flr-675	10	7	enhance	enhance	VERB
flr-675	10	8	the	the	DET
flr-675	10	9	evidence	evidence	NOUN
flr-675	10	10	-	-	PUNCT
flr-675	10	11	base	base	NOUN
flr-675	10	12	,	,	PUNCT
flr-675	10	13	raise	raise	VERB
flr-675	10	14	awareness	awareness	NOUN
flr-675	10	15	,	,	PUNCT
flr-675	10	16	and	and	CCONJ
flr-675	10	17	further	far	ADV
flr-675	10	18	‘	'	PUNCT
flr-675	10	19	embed	embed	VERB
flr-675	10	20	the	the	DET
flr-675	10	21	agenda	agenda	NOUN
flr-675	10	22	’	'	PUNCT
flr-675	10	23	when	when	SCONJ
flr-675	10	24	it	it	PRON
flr-675	10	25	comes	come	VERB
flr-675	10	26	to	to	ADP
flr-675	10	27	understanding	understand	VERB
flr-675	10	28	potential	potential	ADJ
flr-675	10	29	reasons	reason	NOUN
flr-675	10	30	for	for	ADP
flr-675	10	31	differential	differential	ADJ
flr-675	10	32	student	student	NOUN
flr-675	10	33	outcomes	outcome	NOUN
flr-675	10	34	during	during	ADP
flr-675	10	35	educational	educational	ADJ
flr-675	10	36	transitions	transition	NOUN
flr-675	10	37	.	.	PUNCT
flr-675	11	1	keywords	keyword	NOUN
flr-675	11	2	:	:	PUNCT
flr-675	11	3	diversity	diversity	NOUN
flr-675	11	4	;	;	PUNCT
flr-675	11	5	transitions	transition	NOUN
flr-675	11	6	;	;	PUNCT
flr-675	11	7	attainment	attainment	ADJ
flr-675	11	8	gaps	gap	NOUN
flr-675	11	9	;	;	PUNCT
flr-675	11	10	continuation	continuation	NOUN
flr-675	11	11	gaps	gap	NOUN
flr-675	11	12	;	;	PUNCT
flr-675	11	13	micro	micro	NOUN
flr-675	11	14	,	,	PUNCT
flr-675	11	15	meso	meso	NOUN
flr-675	11	16	and	and	CCONJ
flr-675	11	17	macro	macro	ADJ
flr-675	11	18	level	level	NOUN
flr-675	11	19	info	info	NOUN
flr-675	11	20	corresponding	corresponding	ADJ
flr-675	11	21	author	author	NOUN
flr-675	11	22	email	email	NOUN
flr-675	11	23	:	:	PUNCT
flr-675	11	24	k.balloo@surrey.ac.uk	k.balloo@surrey.ac.uk	PROPN
flr-675	11	25	doi	doi	NOUN
flr-675	11	26	:	:	PUNCT
flr-675	11	27	https://doi.org/10.14786/flr.v9i2.675	https://doi.org/10.14786/flr.v9i2.675	NOUN
flr-675	11	28	1	1	NUM
flr-675	11	29	.	.	PUNCT
flr-675	12	1	introduction	introduction	NOUN
flr-675	12	2	recent	recent	ADJ
flr-675	12	3	transitions	transition	NOUN
flr-675	12	4	research	research	NOUN
flr-675	12	5	has	have	AUX
flr-675	12	6	signalled	signal	VERB
flr-675	12	7	a	a	DET
flr-675	12	8	move	move	NOUN
flr-675	12	9	away	away	ADV
flr-675	12	10	from	from	ADP
flr-675	12	11	seeing	see	VERB
flr-675	12	12	students	student	NOUN
flr-675	12	13	as	as	ADP
flr-675	12	14	a	a	DET
flr-675	12	15	homogeneous	homogeneous	ADJ
flr-675	12	16	group	group	NOUN
flr-675	12	17	undergoing	undergo	VERB
flr-675	12	18	a	a	DET
flr-675	12	19	‘	'	PUNCT
flr-675	12	20	transition	transition	NOUN
flr-675	12	21	process	process	NOUN
flr-675	12	22	’	'	PUNCT
flr-675	12	23	to	to	ADP
flr-675	12	24	acknowledging	acknowledge	VERB
flr-675	12	25	the	the	DET
flr-675	12	26	importance	importance	NOUN
flr-675	12	27	of	of	ADP
flr-675	12	28	their	their	PRON
flr-675	12	29	diversity	diversity	NOUN
flr-675	12	30	as	as	SCONJ
flr-675	12	31	they	they	PRON
flr-675	12	32	progress	progress	VERB
flr-675	12	33	through	through	ADP
flr-675	12	34	university	university	NOUN
flr-675	12	35	(	(	PUNCT
flr-675	12	36	gravett	gravett	PROPN
flr-675	12	37	,	,	PUNCT
flr-675	12	38	2019	2019	NUM
flr-675	12	39	)	)	PUNCT
flr-675	12	40	.	.	PUNCT
flr-675	13	1	one	one	NUM
flr-675	13	2	aspect	aspect	NOUN
flr-675	13	3	of	of	ADP
flr-675	13	4	diversity	diversity	NOUN
flr-675	13	5	that	that	PRON
flr-675	13	6	presents	present	VERB
flr-675	13	7	a	a	DET
flr-675	13	8	significant	significant	ADJ
flr-675	13	9	challenge	challenge	NOUN
flr-675	13	10	for	for	ADP
flr-675	13	11	the	the	DET
flr-675	13	12	higher	high	ADJ
flr-675	13	13	education	education	NOUN
flr-675	13	14	sector	sector	NOUN
flr-675	13	15	relates	relate	VERB
flr-675	13	16	to	to	ADP
flr-675	13	17	the	the	DET
flr-675	13	18	presence	presence	NOUN
flr-675	13	19	of	of	ADP
flr-675	13	20	differential	differential	ADJ
flr-675	13	21	student	student	NOUN
flr-675	13	22	outcomes	outcome	NOUN
flr-675	13	23	.	.	PUNCT
flr-675	14	1	whilst	whilst	SCONJ
flr-675	14	2	at	at	ADP
flr-675	14	3	university	university	NOUN
flr-675	14	4	,	,	PUNCT
flr-675	14	5	students	student	NOUN
flr-675	14	6	from	from	ADP
flr-675	14	7	underrepresented	underrepresented	ADJ
flr-675	14	8	backgrounds	background	NOUN
flr-675	14	9	generally	generally	ADV
flr-675	14	10	have	have	VERB
flr-675	14	11	lower	low	ADJ
flr-675	14	12	levels	level	NOUN
flr-675	14	13	of	of	ADP
flr-675	14	14	achievement	achievement	NOUN
flr-675	14	15	(	(	PUNCT
flr-675	14	16	known	know	VERB
flr-675	14	17	as	as	ADP
flr-675	14	18	attainment	attainment	ADJ
flr-675	14	19	gaps	gap	NOUN
flr-675	14	20	)	)	PUNCT
flr-675	14	21	,	,	PUNCT
flr-675	14	22	and	and	CCONJ
flr-675	14	23	are	be	AUX
flr-675	14	24	less	less	ADV
flr-675	14	25	likely	likely	ADJ
flr-675	14	26	to	to	PART
flr-675	14	27	progress	progress	VERB
flr-675	14	28	from	from	ADP
flr-675	14	29	one	one	NUM
flr-675	14	30	year	year	NOUN
flr-675	14	31	to	to	ADP
flr-675	14	32	the	the	DET
flr-675	14	33	next	next	ADJ
flr-675	14	34	(	(	PUNCT
flr-675	14	35	known	know	VERB
flr-675	14	36	as	as	ADP
flr-675	14	37	continuation	continuation	NOUN
flr-675	14	38	gaps	gap	NOUN
flr-675	14	39	)	)	PUNCT
flr-675	14	40	,	,	PUNCT
flr-675	14	41	than	than	ADP
flr-675	14	42	their	their	PRON
flr-675	14	43	traditional	traditional	ADJ
flr-675	14	44	counterparts	counterpart	NOUN
flr-675	14	45	(	(	PUNCT
flr-675	14	46	ofs	ofs	PROPN
flr-675	14	47	,	,	PUNCT
flr-675	14	48	n.d	n.d	PROPN
flr-675	14	49	.	.	PROPN
flr-675	14	50	)	)	PUNCT
flr-675	14	51	.	.	PUNCT
flr-675	15	1	differential	differential	ADJ
flr-675	15	2	outcomes	outcome	NOUN
flr-675	15	3	have	have	AUX
flr-675	15	4	been	be	AUX
flr-675	15	5	found	find	VERB
flr-675	15	6	for	for	ADP
flr-675	15	7	students	student	NOUN
flr-675	15	8	from	from	ADP
flr-675	15	9	a	a	DET
flr-675	15	10	range	range	NOUN
flr-675	15	11	of	of	ADP
flr-675	15	12	backgrounds	background	NOUN
flr-675	15	13	,	,	PUNCT
flr-675	15	14	with	with	ADP
flr-675	15	15	poorer	poor	ADJ
flr-675	15	16	attainment	attainment	ADJ
flr-675	15	17	and	and	CCONJ
flr-675	15	18	continuation	continuation	NOUN
flr-675	15	19	outcomes	outcome	NOUN
flr-675	15	20	for	for	ADP
flr-675	15	21	those	those	PRON
flr-675	15	22	who	who	PRON
flr-675	15	23	are	be	AUX
flr-675	15	24	mature	mature	ADJ
flr-675	15	25	,	,	PUNCT
flr-675	15	26	studying	study	VERB
flr-675	15	27	part	part	NOUN
flr-675	15	28	-	-	PUNCT
flr-675	15	29	time	time	NOUN
flr-675	15	30	,	,	PUNCT
flr-675	15	31	from	from	ADP
flr-675	15	32	a	a	DET
flr-675	15	33	lower	low	ADJ
flr-675	15	34	socioeconomic	socioeconomic	ADJ
flr-675	15	35	group	group	NOUN
flr-675	15	36	,	,	PUNCT
flr-675	15	37	and	and	CCONJ
flr-675	15	38	from	from	ADP
flr-675	15	39	a	a	DET
flr-675	15	40	black	black	ADJ
flr-675	15	41	,	,	PUNCT
flr-675	15	42	asian	asian	ADJ
flr-675	15	43	,	,	PUNCT
flr-675	15	44	and	and	CCONJ
flr-675	15	45	minority	minority	NOUN
flr-675	15	46	ethnic	ethnic	ADJ
flr-675	15	47	background	background	NOUN
flr-675	15	48	(	(	PUNCT
flr-675	15	49	woodfield	woodfield	PROPN
flr-675	15	50	,	,	PUNCT
flr-675	15	51	2014	2014	NUM
flr-675	15	52	)	)	PUNCT
flr-675	15	53	.	.	PUNCT
flr-675	16	1	these	these	DET
flr-675	16	2	gaps	gap	NOUN
flr-675	16	3	have	have	AUX
flr-675	16	4	been	be	AUX
flr-675	16	5	identified	identify	VERB
flr-675	16	6	across	across	ADP
flr-675	16	7	the	the	DET
flr-675	16	8	sector	sector	NOUN
flr-675	16	9	internationally	internationally	ADV
flr-675	16	10	,	,	PUNCT
flr-675	16	11	including	include	VERB
flr-675	16	12	in	in	ADP
flr-675	16	13	the	the	DET
flr-675	16	14	uk	uk	PROPN
flr-675	16	15	,	,	PUNCT
flr-675	16	16	usa	usa	PROPN
flr-675	16	17	,	,	PUNCT
flr-675	16	18	australia	australia	PROPN
flr-675	16	19	,	,	PUNCT
flr-675	16	20	belgium	belgium	PROPN
flr-675	16	21	,	,	PUNCT
flr-675	16	22	germany	germany	PROPN
flr-675	16	23	,	,	PUNCT
flr-675	16	24	and	and	CCONJ
flr-675	16	25	denmark	denmark	NOUN
flr-675	16	26	(	(	PUNCT
flr-675	16	27	lens	lens	NOUN
flr-675	16	28	&	&	CCONJ
flr-675	16	29	levrau	levrau	PROPN
flr-675	16	30	,	,	PUNCT
flr-675	16	31	2020	2020	NUM
flr-675	16	32	;	;	PUNCT
flr-675	16	33	mountford	mountford	NOUN
flr-675	16	34	-	-	PUNCT
flr-675	16	35	zimdars	zimdar	NOUN
flr-675	16	36	et	et	NOUN
flr-675	16	37	al	al	PROPN
flr-675	16	38	.	.	PROPN
flr-675	16	39	,	,	PUNCT
flr-675	16	40	2015	2015	NUM
flr-675	16	41	;	;	PUNCT
flr-675	16	42	singh	singh	PROPN
flr-675	16	43	,	,	PUNCT
flr-675	16	44	2011	2011	NUM
flr-675	16	45	;	;	PUNCT
flr-675	16	46	tieben	tieben	NOUN
flr-675	16	47	,	,	PUNCT
flr-675	16	48	2020	2020	NUM
flr-675	16	49	)	)	PUNCT
flr-675	16	50	.	.	PUNCT
flr-675	17	1	despite	despite	SCONJ
flr-675	17	2	prior	prior	ADJ
flr-675	17	3	attainment	attainment	NOUN
flr-675	17	4	and	and	CCONJ
flr-675	17	5	type	type	NOUN
flr-675	17	6	of	of	ADP
flr-675	17	7	entry	entry	NOUN
flr-675	17	8	qualification	qualification	NOUN
flr-675	17	9	only	only	ADV
flr-675	17	10	partially	partially	ADV
flr-675	17	11	accounting	account	VERB
flr-675	17	12	for	for	ADP
flr-675	17	13	the	the	DET
flr-675	17	14	presence	presence	NOUN
flr-675	17	15	of	of	ADP
flr-675	17	16	gaps	gap	NOUN
flr-675	17	17	(	(	PUNCT
flr-675	17	18	broecke	broecke	PROPN
flr-675	17	19	&	&	CCONJ
flr-675	17	20	nicholls	nicholls	PROPN
flr-675	17	21	,	,	PUNCT
flr-675	17	22	2007	2007	NUM
flr-675	17	23	)	)	PUNCT
flr-675	17	24	,	,	PUNCT
flr-675	17	25	there	there	PRON
flr-675	17	26	appears	appear	VERB
flr-675	17	27	to	to	PART
flr-675	17	28	be	be	AUX
flr-675	17	29	a	a	DET
flr-675	17	30	‘	'	PUNCT
flr-675	17	31	deficit	deficit	NOUN
flr-675	17	32	’	'	PUNCT
flr-675	17	33	discourse	discourse	NOUN
flr-675	17	34	among	among	ADP
flr-675	17	35	some	some	DET
flr-675	17	36	university	university	NOUN
flr-675	17	37	staff	staff	NOUN
flr-675	17	38	in	in	ADP
flr-675	17	39	which	which	PRON
flr-675	17	40	differential	differential	NOUN
flr-675	17	41	outcomes	outcome	NOUN
flr-675	17	42	are	be	AUX
flr-675	17	43	perceived	perceive	VERB
flr-675	17	44	to	to	PART
flr-675	17	45	be	be	AUX
flr-675	17	46	due	due	ADJ
flr-675	17	47	to	to	ADP
flr-675	17	48	student	student	NOUN
flr-675	17	49	deficiencies	deficiency	NOUN
flr-675	17	50	(	(	PUNCT
flr-675	17	51	miller	miller	PROPN
flr-675	17	52	,	,	PUNCT
flr-675	17	53	2016	2016	NUM
flr-675	17	54	;	;	PUNCT
flr-675	17	55	singh	singh	PROPN
flr-675	17	56	,	,	PUNCT
flr-675	17	57	2011	2011	NUM
flr-675	17	58	;	;	PUNCT
flr-675	17	59	stevenson	stevenson	PROPN
flr-675	17	60	,	,	PUNCT
flr-675	17	61	2012	2012	NUM
flr-675	17	62	)	)	PUNCT
flr-675	17	63	.	.	PUNCT
flr-675	18	1	this	this	PRON
flr-675	18	2	may	may	AUX
flr-675	18	3	be	be	AUX
flr-675	18	4	exacerbated	exacerbate	VERB
flr-675	18	5	by	by	ADP
flr-675	18	6	institutional	institutional	ADJ
flr-675	18	7	analyses	analysis	NOUN
flr-675	18	8	placing	place	VERB
flr-675	18	9	an	an	DET
flr-675	18	10	over	over	NOUN
flr-675	18	11	-	-	PUNCT
flr-675	18	12	emphasis	emphasis	NOUN
flr-675	18	13	on	on	ADP
flr-675	18	14	the	the	DET
flr-675	18	15	presence	presence	NOUN
flr-675	18	16	of	of	ADP
flr-675	18	17	the	the	DET
flr-675	18	18	gaps	gap	NOUN
flr-675	18	19	themselves	themselves	PRON
flr-675	18	20	.	.	PUNCT
flr-675	19	1	universities	university	NOUN
flr-675	19	2	routinely	routinely	ADV
flr-675	19	3	collect	collect	VERB
flr-675	19	4	a	a	DET
flr-675	19	5	range	range	NOUN
flr-675	19	6	of	of	ADP
flr-675	19	7	quantitative	quantitative	ADJ
flr-675	19	8	data	datum	NOUN
flr-675	19	9	at	at	ADP
flr-675	19	10	the	the	DET
flr-675	19	11	point	point	NOUN
flr-675	19	12	of	of	ADP
flr-675	19	13	student	student	NOUN
flr-675	19	14	enrolment	enrolment	NOUN
flr-675	19	15	,	,	PUNCT
flr-675	19	16	some	some	PRON
flr-675	19	17	of	of	ADP
flr-675	19	18	which	which	PRON
flr-675	19	19	is	be	AUX
flr-675	19	20	then	then	ADV
flr-675	19	21	utilised	utilise	VERB
flr-675	19	22	to	to	PART
flr-675	19	23	assess	assess	VERB
flr-675	19	24	whether	whether	SCONJ
flr-675	19	25	their	their	PRON
flr-675	19	26	widening	widen	VERB
flr-675	19	27	participation	participation	NOUN
flr-675	19	28	targets	target	NOUN
flr-675	19	29	are	be	AUX
flr-675	19	30	being	be	AUX
flr-675	19	31	met	meet	VERB
flr-675	19	32	.	.	PUNCT
flr-675	20	1	these	these	DET
flr-675	20	2	data	datum	NOUN
flr-675	20	3	may	may	AUX
flr-675	20	4	include	include	VERB
flr-675	20	5	demographic	demographic	ADJ
flr-675	20	6	details	detail	NOUN
flr-675	20	7	such	such	ADJ
flr-675	20	8	as	as	ADP
flr-675	20	9	gender	gender	NOUN
flr-675	20	10	,	,	PUNCT
flr-675	20	11	age	age	NOUN
flr-675	20	12	,	,	PUNCT
flr-675	20	13	ethnicity	ethnicity	NOUN
flr-675	20	14	,	,	PUNCT
flr-675	20	15	disabilities	disability	NOUN
flr-675	20	16	,	,	PUNCT
flr-675	20	17	and	and	CCONJ
flr-675	20	18	socioeconomic	socioeconomic	ADJ
flr-675	20	19	group	group	NOUN
flr-675	20	20	,	,	PUNCT
flr-675	20	21	and	and	CCONJ
flr-675	20	22	they	they	PRON
flr-675	20	23	are	be	AUX
flr-675	20	24	further	far	ADV
flr-675	20	25	used	use	VERB
flr-675	20	26	to	to	PART
flr-675	20	27	model	model	VERB
flr-675	20	28	whether	whether	SCONJ
flr-675	20	29	there	there	PRON
flr-675	20	30	are	be	VERB
flr-675	20	31	differential	differential	ADJ
flr-675	20	32	outcomes	outcome	NOUN
flr-675	20	33	in	in	ADP
flr-675	20	34	terms	term	NOUN
flr-675	20	35	of	of	ADP
flr-675	20	36	attainment	attainment	ADJ
flr-675	20	37	or	or	CCONJ
flr-675	20	38	continuation	continuation	NOUN
flr-675	20	39	gaps	gap	NOUN
flr-675	20	40	at	at	ADP
flr-675	20	41	various	various	ADJ
flr-675	20	42	stages	stage	NOUN
flr-675	20	43	of	of	ADP
flr-675	20	44	students	student	NOUN
flr-675	20	45	’	'	PUNCT
flr-675	20	46	transitions	transition	NOUN
flr-675	20	47	(	(	PUNCT
flr-675	20	48	e.g.	e.g.	ADV
flr-675	20	49	end	end	NOUN
flr-675	20	50	of	of	ADP
flr-675	20	51	first	first	ADJ
flr-675	20	52	year	year	NOUN
flr-675	20	53	grades	grade	NOUN
flr-675	20	54	,	,	PUNCT
flr-675	20	55	when	when	SCONJ
flr-675	20	56	progressing	progress	VERB
flr-675	20	57	from	from	ADP
flr-675	20	58	the	the	DET
flr-675	20	59	first	first	ADJ
flr-675	20	60	year	year	NOUN
flr-675	20	61	to	to	ADP
flr-675	20	62	the	the	DET
flr-675	20	63	second	second	ADJ
flr-675	20	64	year	year	NOUN
flr-675	20	65	,	,	PUNCT
flr-675	20	66	etc	etc	X
flr-675	20	67	.	.	X
flr-675	20	68	)	)	PUNCT
flr-675	20	69	.	.	PUNCT
flr-675	21	1	analysing	analyse	VERB
flr-675	21	2	these	these	DET
flr-675	21	3	data	datum	NOUN
flr-675	21	4	is	be	AUX
flr-675	21	5	necessary	necessary	ADJ
flr-675	21	6	for	for	ADP
flr-675	21	7	regulatory	regulatory	ADJ
flr-675	21	8	reporting	reporting	NOUN
flr-675	21	9	purposes	purpose	NOUN
flr-675	21	10	,	,	PUNCT
flr-675	21	11	but	but	CCONJ
flr-675	21	12	these	these	DET
flr-675	21	13	data	datum	NOUN
flr-675	21	14	alone	alone	ADV
flr-675	21	15	do	do	AUX
flr-675	21	16	not	not	PART
flr-675	21	17	aid	aid	VERB
flr-675	21	18	teaching	teach	VERB
flr-675	21	19	staff	staff	NOUN
flr-675	21	20	in	in	ADP
flr-675	21	21	their	their	PRON
flr-675	21	22	design	design	NOUN
flr-675	21	23	of	of	ADP
flr-675	21	24	interventions	intervention	NOUN
flr-675	21	25	for	for	ADP
flr-675	21	26	tackling	tackle	VERB
flr-675	21	27	the	the	DET
flr-675	21	28	causes	cause	NOUN
flr-675	21	29	of	of	ADP
flr-675	21	30	these	these	DET
flr-675	21	31	gaps	gap	NOUN
flr-675	21	32	.	.	PUNCT
flr-675	22	1	a	a	DET
flr-675	22	2	recent	recent	ADJ
flr-675	22	3	report	report	NOUN
flr-675	22	4	also	also	ADV
flr-675	22	5	highlighted	highlight	VERB
flr-675	22	6	this	this	DET
flr-675	22	7	over	over	ADP
flr-675	22	8	-	-	PUNCT
flr-675	22	9	reliance	reliance	NOUN
flr-675	22	10	on	on	ADP
flr-675	22	11	collecting	collect	VERB
flr-675	22	12	quantitative	quantitative	ADJ
flr-675	22	13	data	datum	NOUN
flr-675	22	14	at	at	ADP
flr-675	22	15	the	the	DET
flr-675	22	16	expense	expense	NOUN
flr-675	22	17	of	of	ADP
flr-675	22	18	engaging	engage	VERB
flr-675	22	19	with	with	ADP
flr-675	22	20	students	student	NOUN
flr-675	22	21	about	about	ADP
flr-675	22	22	their	their	PRON
flr-675	22	23	actual	actual	ADJ
flr-675	22	24	experiences	experience	NOUN
flr-675	22	25	(	(	PUNCT
flr-675	22	26	uuk	uuk	PROPN
flr-675	22	27	&	&	CCONJ
flr-675	22	28	nus	nus	PROPN
flr-675	22	29	,	,	PUNCT
flr-675	22	30	2019	2019	NUM
flr-675	22	31	)	)	PUNCT
flr-675	22	32	.	.	PUNCT
flr-675	23	1	since	since	SCONJ
flr-675	23	2	differential	differential	ADJ
flr-675	23	3	student	student	NOUN
flr-675	23	4	outcomes	outcome	NOUN
flr-675	23	5	are	be	AUX
flr-675	23	6	quantitatively	quantitatively	ADV
flr-675	23	7	assessed	assess	VERB
flr-675	23	8	(	(	PUNCT
flr-675	23	9	jones	jone	NOUN
flr-675	23	10	,	,	PUNCT
flr-675	23	11	2018	2018	NUM
flr-675	23	12	)	)	PUNCT
flr-675	23	13	,	,	PUNCT
flr-675	23	14	qualitative	qualitative	ADJ
flr-675	23	15	evidence	evidence	NOUN
flr-675	23	16	alone	alone	ADV
flr-675	23	17	can	can	AUX
flr-675	23	18	not	not	PART
flr-675	23	19	be	be	AUX
flr-675	23	20	used	use	VERB
flr-675	23	21	to	to	PART
flr-675	23	22	ascertain	ascertain	VERB
flr-675	23	23	the	the	DET
flr-675	23	24	factors	factor	NOUN
flr-675	23	25	that	that	PRON
flr-675	23	26	explain	explain	VERB
flr-675	23	27	why	why	SCONJ
flr-675	23	28	there	there	PRON
flr-675	23	29	are	be	VERB
flr-675	23	30	gaps	gap	NOUN
flr-675	23	31	.	.	PUNCT
flr-675	24	1	institutions	institution	NOUN
flr-675	24	2	have	have	VERB
flr-675	24	3	a	a	DET
flr-675	24	4	duty	duty	NOUN
flr-675	24	5	to	to	PART
flr-675	24	6	both	both	CCONJ
flr-675	24	7	monitor	monitor	VERB
flr-675	24	8	and	and	CCONJ
flr-675	24	9	attempt	attempt	VERB
flr-675	24	10	to	to	PART
flr-675	24	11	reduce	reduce	VERB
flr-675	24	12	gaps	gap	NOUN
flr-675	24	13	,	,	PUNCT
flr-675	24	14	so	so	CCONJ
flr-675	24	15	this	this	PRON
flr-675	24	16	is	be	AUX
flr-675	24	17	likely	likely	ADJ
flr-675	24	18	to	to	PART
flr-675	24	19	be	be	AUX
flr-675	24	20	an	an	DET
flr-675	24	21	important	important	ADJ
flr-675	24	22	target	target	NOUN
flr-675	24	23	for	for	ADP
flr-675	24	24	senior	senior	ADJ
flr-675	24	25	management	management	NOUN
flr-675	24	26	.	.	PUNCT
flr-675	25	1	however	however	ADV
flr-675	25	2	,	,	PUNCT
flr-675	25	3	we	we	PRON
flr-675	25	4	argue	argue	VERB
flr-675	25	5	that	that	SCONJ
flr-675	25	6	any	any	DET
flr-675	25	7	large	large	ADJ
flr-675	25	8	-	-	PUNCT
flr-675	25	9	scale	scale	NOUN
flr-675	25	10	quantitative	quantitative	ADJ
flr-675	25	11	analyses	analysis	NOUN
flr-675	25	12	of	of	ADP
flr-675	25	13	attainment	attainment	ADJ
flr-675	25	14	and	and	CCONJ
flr-675	25	15	continuation	continuation	NOUN
flr-675	25	16	gaps	gap	NOUN
flr-675	25	17	need	need	VERB
flr-675	25	18	to	to	PART
flr-675	25	19	move	move	VERB
flr-675	25	20	beyond	beyond	ADP
flr-675	25	21	solely	solely	ADV
flr-675	25	22	focusing	focus	VERB
flr-675	25	23	on	on	ADP
flr-675	25	24	the	the	DET
flr-675	25	25	presence	presence	NOUN
flr-675	25	26	of	of	ADP
flr-675	25	27	the	the	DET
flr-675	25	28	gaps	gap	NOUN
flr-675	25	29	,	,	PUNCT
flr-675	25	30	and	and	CCONJ
flr-675	25	31	characteristics	characteristic	NOUN
flr-675	25	32	of	of	ADP
flr-675	25	33	the	the	DET
flr-675	25	34	students	student	NOUN
flr-675	25	35	,	,	PUNCT
flr-675	25	36	to	to	PART
flr-675	25	37	take	take	VERB
flr-675	25	38	into	into	ADP
flr-675	25	39	account	account	NOUN
flr-675	25	40	the	the	DET
flr-675	25	41	explanatory	explanatory	ADJ
flr-675	25	42	factors	factor	NOUN
flr-675	25	43	for	for	ADP
flr-675	25	44	these	these	DET
flr-675	25	45	differential	differential	ADJ
flr-675	25	46	outcomes	outcome	NOUN
flr-675	25	47	.	.	PUNCT
flr-675	26	1	in	in	ADP
flr-675	26	2	order	order	NOUN
flr-675	26	3	for	for	ADP
flr-675	26	4	teaching	teach	VERB
flr-675	26	5	staff	staff	NOUN
flr-675	26	6	to	to	PART
flr-675	26	7	improve	improve	VERB
flr-675	26	8	the	the	DET
flr-675	26	9	focus	focus	NOUN
flr-675	26	10	and	and	CCONJ
flr-675	26	11	design	design	NOUN
flr-675	26	12	of	of	ADP
flr-675	26	13	interventions	intervention	NOUN
flr-675	26	14	addressing	address	VERB
flr-675	26	15	gaps	gap	NOUN
flr-675	26	16	,	,	PUNCT
flr-675	26	17	they	they	PRON
flr-675	26	18	need	need	VERB
flr-675	26	19	to	to	PART
flr-675	26	20	know	know	VERB
flr-675	26	21	the	the	DET
flr-675	26	22	precise	precise	ADJ
flr-675	26	23	factors	factor	NOUN
flr-675	26	24	that	that	PRON
flr-675	26	25	may	may	AUX
flr-675	26	26	impact	impact	VERB
flr-675	26	27	on	on	ADP
flr-675	26	28	these	these	DET
flr-675	26	29	outcomes	outcome	NOUN
flr-675	26	30	for	for	ADP
flr-675	26	31	their	their	PRON
flr-675	26	32	own	own	ADJ
flr-675	26	33	students	student	NOUN
flr-675	26	34	,	,	PUNCT
flr-675	26	35	drawing	draw	VERB
flr-675	26	36	on	on	ADP
flr-675	26	37	evidence	evidence	NOUN
flr-675	26	38	from	from	ADP
flr-675	26	39	their	their	PRON
flr-675	26	40	own	own	ADJ
flr-675	26	41	institutional	institutional	ADJ
flr-675	26	42	and	and	CCONJ
flr-675	26	43	disciplinary	disciplinary	ADJ
flr-675	26	44	contexts	context	NOUN
flr-675	26	45	(	(	PUNCT
flr-675	26	46	mountford	mountford	NOUN
flr-675	26	47	-	-	PUNCT
flr-675	26	48	zimdars	zimdar	NOUN
flr-675	26	49	et	et	NOUN
flr-675	26	50	al	al	PROPN
flr-675	26	51	.	.	PROPN
flr-675	26	52	,	,	PUNCT
flr-675	26	53	2017	2017	NUM
flr-675	26	54	)	)	PUNCT
flr-675	26	55	.	.	PUNCT
flr-675	27	1	thus	thus	ADV
flr-675	27	2	,	,	PUNCT
flr-675	27	3	quantitative	quantitative	ADJ
flr-675	27	4	analyses	analysis	NOUN
flr-675	27	5	may	may	AUX
flr-675	27	6	offer	offer	VERB
flr-675	27	7	a	a	DET
flr-675	27	8	way	way	NOUN
flr-675	27	9	forward	forward	ADV
flr-675	27	10	,	,	PUNCT
flr-675	27	11	but	but	CCONJ
flr-675	27	12	more	more	ADJ
flr-675	27	13	nuance	nuance	NOUN
flr-675	27	14	is	be	AUX
flr-675	27	15	likely	likely	ADJ
flr-675	27	16	to	to	PART
flr-675	27	17	be	be	AUX
flr-675	27	18	needed	need	VERB
flr-675	27	19	when	when	SCONJ
flr-675	27	20	determining	determine	VERB
flr-675	27	21	which	which	DET
flr-675	27	22	data	datum	NOUN
flr-675	27	23	to	to	PART
flr-675	27	24	analyse	analyse	VERB
flr-675	27	25	and	and	CCONJ
flr-675	27	26	how	how	SCONJ
flr-675	27	27	:	:	PUNCT
flr-675	27	28	universities	university	NOUN
flr-675	27	29	need	need	VERB
flr-675	27	30	to	to	PART
flr-675	27	31	take	take	VERB
flr-675	27	32	a	a	DET
flr-675	27	33	more	more	ADV
flr-675	27	34	scientific	scientific	ADJ
flr-675	27	35	approach	approach	NOUN
flr-675	27	36	to	to	ADP
flr-675	27	37	tackling	tackle	VERB
flr-675	27	38	the	the	DET
flr-675	27	39	attainment	attainment	ADJ
flr-675	27	40	gap	gap	NOUN
flr-675	27	41	,	,	PUNCT
flr-675	27	42	by	by	ADP
flr-675	27	43	gathering	gather	VERB
flr-675	27	44	and	and	CCONJ
flr-675	27	45	scrutinising	scrutinise	VERB
flr-675	27	46	data	datum	NOUN
flr-675	27	47	in	in	ADP
flr-675	27	48	a	a	DET
flr-675	27	49	far	far	ADV
flr-675	27	50	more	more	ADV
flr-675	27	51	comprehensive	comprehensive	ADJ
flr-675	27	52	way	way	NOUN
flr-675	27	53	than	than	SCONJ
flr-675	27	54	they	they	PRON
flr-675	27	55	may	may	AUX
flr-675	27	56	currently	currently	ADV
flr-675	27	57	be	be	AUX
flr-675	27	58	doing	do	VERB
flr-675	27	59	,	,	PUNCT
flr-675	27	60	in	in	ADP
flr-675	27	61	order	order	NOUN
flr-675	27	62	to	to	PART
flr-675	27	63	inform	inform	VERB
flr-675	27	64	discussions	discussion	NOUN
flr-675	27	65	between	between	ADP
flr-675	27	66	university	university	NOUN
flr-675	27	67	leaders	leader	NOUN
flr-675	27	68	,	,	PUNCT
flr-675	27	69	academics	academic	NOUN
flr-675	27	70	,	,	PUNCT
flr-675	27	71	practitioners	practitioner	NOUN
flr-675	27	72	and	and	CCONJ
flr-675	27	73	students	student	NOUN
flr-675	27	74	.	.	PUNCT
flr-675	28	1	(	(	PUNCT
flr-675	28	2	uuk	uuk	PROPN
flr-675	28	3	&	&	CCONJ
flr-675	28	4	nus	nus	PROPN
flr-675	28	5	,	,	PUNCT
flr-675	28	6	2019	2019	NUM
flr-675	28	7	,	,	PUNCT
flr-675	28	8	p.	p.	NOUN
flr-675	28	9	2	2	NUM
flr-675	28	10	)	)	PUNCT
flr-675	28	11	therefore	therefore	ADV
flr-675	28	12	,	,	PUNCT
flr-675	28	13	the	the	DET
flr-675	28	14	purpose	purpose	NOUN
flr-675	28	15	of	of	ADP
flr-675	28	16	the	the	DET
flr-675	28	17	current	current	ADJ
flr-675	28	18	primer	primer	NOUN
flr-675	28	19	is	be	AUX
flr-675	28	20	to	to	PART
flr-675	28	21	provide	provide	VERB
flr-675	28	22	accessible	accessible	ADJ
flr-675	28	23	guidance	guidance	NOUN
flr-675	28	24	on	on	ADP
flr-675	28	25	the	the	DET
flr-675	28	26	decisions	decision	NOUN
flr-675	28	27	that	that	PRON
flr-675	28	28	institutions	institution	NOUN
flr-675	28	29	should	should	AUX
flr-675	28	30	consider	consider	VERB
flr-675	28	31	making	make	VERB
flr-675	28	32	when	when	SCONJ
flr-675	28	33	attempting	attempt	VERB
flr-675	28	34	to	to	PART
flr-675	28	35	draw	draw	VERB
flr-675	28	36	on	on	ADP
flr-675	28	37	evidence	evidence	NOUN
flr-675	28	38	for	for	ADP
flr-675	28	39	the	the	DET
flr-675	28	40	factors	factor	NOUN
flr-675	28	41	that	that	PRON
flr-675	28	42	may	may	AUX
flr-675	28	43	explain	explain	VERB
flr-675	28	44	differential	differential	ADJ
flr-675	28	45	student	student	NOUN
flr-675	28	46	outcomes	outcome	NOUN
flr-675	28	47	.	.	PUNCT
flr-675	29	1	this	this	DET
flr-675	29	2	primer	primer	NOUN
flr-675	29	3	provides	provide	VERB
flr-675	29	4	suggestions	suggestion	NOUN
flr-675	29	5	for	for	SCONJ
flr-675	29	6	how	how	SCONJ
flr-675	29	7	explanatory	explanatory	ADJ
flr-675	29	8	factors	factor	NOUN
flr-675	29	9	can	can	AUX
flr-675	29	10	be	be	AUX
flr-675	29	11	quantitatively	quantitatively	ADV
flr-675	29	12	collected	collect	VERB
flr-675	29	13	,	,	PUNCT
flr-675	29	14	and	and	CCONJ
flr-675	29	15	most	most	ADV
flr-675	29	16	importantly	importantly	ADV
flr-675	29	17	,	,	PUNCT
flr-675	29	18	how	how	SCONJ
flr-675	29	19	these	these	DET
flr-675	29	20	data	datum	NOUN
flr-675	29	21	can	can	AUX
flr-675	29	22	be	be	AUX
flr-675	29	23	analysed	analyse	VERB
flr-675	29	24	using	use	VERB
flr-675	29	25	relatively	relatively	ADV
flr-675	29	26	straightforward	straightforward	ADJ
flr-675	29	27	approaches	approach	NOUN
flr-675	29	28	that	that	PRON
flr-675	29	29	do	do	AUX
flr-675	29	30	not	not	PART
flr-675	29	31	require	require	VERB
flr-675	29	32	access	access	NOUN
flr-675	29	33	to	to	ADP
flr-675	29	34	specialist	specialist	ADJ
flr-675	29	35	software	software	NOUN
flr-675	29	36	or	or	CCONJ
flr-675	29	37	expertise	expertise	NOUN
flr-675	29	38	.	.	PUNCT
flr-675	30	1	it	it	PRON
flr-675	30	2	provides	provide	VERB
flr-675	30	3	tools	tool	NOUN
flr-675	30	4	to	to	PART
flr-675	30	5	model	model	VERB
flr-675	30	6	potential	potential	ADJ
flr-675	30	7	factors	factor	NOUN
flr-675	30	8	explaining	explain	VERB
flr-675	30	9	differential	differential	ADJ
flr-675	30	10	outcomes	outcome	NOUN
flr-675	30	11	within	within	ADP
flr-675	30	12	specific	specific	ADJ
flr-675	30	13	contexts	context	NOUN
flr-675	30	14	throughout	throughout	ADP
flr-675	30	15	students	student	NOUN
flr-675	30	16	’	’	PART
flr-675	30	17	transitions	transition	NOUN
flr-675	30	18	.	.	PUNCT
flr-675	31	1	such	such	ADJ
flr-675	31	2	models	model	NOUN
flr-675	31	3	could	could	AUX
flr-675	31	4	then	then	ADV
flr-675	31	5	be	be	AUX
flr-675	31	6	used	use	VERB
flr-675	31	7	to	to	PART
flr-675	31	8	stimulate	stimulate	VERB
flr-675	31	9	conversations	conversation	NOUN
flr-675	31	10	between	between	ADP
flr-675	31	11	teaching	teach	VERB
flr-675	31	12	staff	staff	NOUN
flr-675	31	13	and	and	CCONJ
flr-675	31	14	students	student	NOUN
flr-675	31	15	around	around	ADP
flr-675	31	16	issues	issue	NOUN
flr-675	31	17	that	that	PRON
flr-675	31	18	have	have	AUX
flr-675	31	19	been	be	AUX
flr-675	31	20	identified	identify	VERB
flr-675	31	21	,	,	PUNCT
flr-675	31	22	and	and	CCONJ
flr-675	31	23	enable	enable	VERB
flr-675	31	24	the	the	DET
flr-675	31	25	design	design	NOUN
flr-675	31	26	of	of	ADP
flr-675	31	27	context	context	NOUN
flr-675	31	28	-	-	PUNCT
flr-675	31	29	specific	specific	ADJ
flr-675	31	30	interventions	intervention	NOUN
flr-675	31	31	that	that	PRON
flr-675	31	32	focus	focus	VERB
flr-675	31	33	on	on	ADP
flr-675	31	34	changing	change	VERB
flr-675	31	35	practices	practice	NOUN
flr-675	31	36	that	that	PRON
flr-675	31	37	have	have	AUX
flr-675	31	38	been	be	AUX
flr-675	31	39	confirmed	confirm	VERB
flr-675	31	40	to	to	PART
flr-675	31	41	be	be	AUX
flr-675	31	42	associated	associate	VERB
flr-675	31	43	with	with	ADP
flr-675	31	44	gaps	gap	NOUN
flr-675	31	45	.	.	PUNCT
flr-675	32	1	this	this	PRON
flr-675	32	2	could	could	AUX
flr-675	32	3	also	also	ADV
flr-675	32	4	extend	extend	VERB
flr-675	32	5	the	the	DET
flr-675	32	6	literature	literature	NOUN
flr-675	32	7	on	on	ADP
flr-675	32	8	differential	differential	ADJ
flr-675	32	9	outcomes	outcome	NOUN
flr-675	32	10	.	.	PUNCT
flr-675	33	1	2	2	X
flr-675	33	2	.	.	X
flr-675	33	3	gathering	gather	VERB
flr-675	33	4	multi	multi	ADJ
flr-675	33	5	-	-	ADJ
flr-675	33	6	level	level	ADJ
flr-675	33	7	quantitative	quantitative	ADJ
flr-675	33	8	evidence	evidence	NOUN
flr-675	33	9	for	for	ADP
flr-675	33	10	differential	differential	ADJ
flr-675	33	11	student	student	NOUN
flr-675	33	12	outcomes	outcome	NOUN
flr-675	33	13	in	in	ADP
flr-675	33	14	his	his	PRON
flr-675	33	15	theory	theory	NOUN
flr-675	33	16	of	of	ADP
flr-675	33	17	student	student	NOUN
flr-675	33	18	departure	departure	NOUN
flr-675	33	19	,	,	PUNCT
flr-675	33	20	tinto	tinto	NOUN
flr-675	33	21	(	(	PUNCT
flr-675	33	22	1993	1993	NUM
flr-675	33	23	)	)	PUNCT
flr-675	33	24	asserts	assert	VERB
flr-675	33	25	that	that	SCONJ
flr-675	33	26	student	student	NOUN
flr-675	33	27	persistence	persistence	NOUN
flr-675	33	28	is	be	AUX
flr-675	33	29	based	base	VERB
flr-675	33	30	on	on	ADP
flr-675	33	31	how	how	SCONJ
flr-675	33	32	well	well	ADV
flr-675	33	33	they	they	PRON
flr-675	33	34	integrate	integrate	VERB
flr-675	33	35	into	into	ADP
flr-675	33	36	the	the	DET
flr-675	33	37	social	social	ADJ
flr-675	33	38	and	and	CCONJ
flr-675	33	39	academic	academic	ADJ
flr-675	33	40	systems	system	NOUN
flr-675	33	41	of	of	ADP
flr-675	33	42	their	their	PRON
flr-675	33	43	university	university	NOUN
flr-675	33	44	.	.	PUNCT
flr-675	34	1	this	this	DET
flr-675	34	2	ability	ability	NOUN
flr-675	34	3	to	to	PART
flr-675	34	4	integrate	integrate	VERB
flr-675	34	5	is	be	AUX
flr-675	34	6	thought	think	VERB
flr-675	34	7	to	to	PART
flr-675	34	8	be	be	AUX
flr-675	34	9	influenced	influence	VERB
flr-675	34	10	by	by	ADP
flr-675	34	11	students	student	NOUN
flr-675	34	12	’	’	PART
flr-675	34	13	background	background	NOUN
flr-675	34	14	characteristics	characteristic	NOUN
flr-675	34	15	,	,	PUNCT
flr-675	34	16	the	the	DET
flr-675	34	17	institutional	institutional	ADJ
flr-675	34	18	environment	environment	NOUN
flr-675	34	19	,	,	PUNCT
flr-675	34	20	and	and	CCONJ
flr-675	34	21	their	their	PRON
flr-675	34	22	experiences	experience	NOUN
flr-675	34	23	and	and	CCONJ
flr-675	34	24	interactions	interaction	NOUN
flr-675	34	25	whilst	whilst	SCONJ
flr-675	34	26	they	they	PRON
flr-675	34	27	are	be	AUX
flr-675	34	28	at	at	ADP
flr-675	34	29	university	university	NOUN
flr-675	34	30	.	.	PUNCT
flr-675	35	1	building	build	VERB
flr-675	35	2	on	on	ADP
flr-675	35	3	the	the	DET
flr-675	35	4	findings	finding	NOUN
flr-675	35	5	of	of	ADP
flr-675	35	6	cousin	cousin	NOUN
flr-675	35	7	and	and	CCONJ
flr-675	35	8	cuerton	cuerton	NOUN
flr-675	35	9	’s	’s	PART
flr-675	35	10	(	(	PUNCT
flr-675	35	11	2012	2012	NUM
flr-675	35	12	)	)	PUNCT
flr-675	35	13	attainment	attainment	ADJ
flr-675	35	14	gap	gap	NOUN
flr-675	35	15	report	report	NOUN
flr-675	35	16	,	,	PUNCT
flr-675	35	17	mountford	mountford	NOUN
flr-675	35	18	-	-	PUNCT
flr-675	35	19	zimdars	zimdar	NOUN
flr-675	35	20	et	et	NOUN
flr-675	35	21	al	al	PROPN
flr-675	35	22	.	.	PROPN
flr-675	36	1	(	(	PUNCT
flr-675	36	2	2015	2015	NUM
flr-675	36	3	)	)	PUNCT
flr-675	36	4	conducted	conduct	VERB
flr-675	36	5	a	a	DET
flr-675	36	6	critical	critical	ADJ
flr-675	36	7	review	review	NOUN
flr-675	36	8	of	of	ADP
flr-675	36	9	the	the	DET
flr-675	36	10	potential	potential	ADJ
flr-675	36	11	causes	cause	NOUN
flr-675	36	12	of	of	ADP
flr-675	36	13	differential	differential	ADJ
flr-675	36	14	student	student	NOUN
flr-675	36	15	outcomes	outcome	NOUN
flr-675	36	16	to	to	PART
flr-675	36	17	identify	identify	VERB
flr-675	36	18	explanatory	explanatory	ADJ
flr-675	36	19	factors	factor	NOUN
flr-675	36	20	for	for	ADP
flr-675	36	21	outcome	outcome	NOUN
flr-675	36	22	gaps	gap	NOUN
flr-675	36	23	,	,	PUNCT
flr-675	36	24	which	which	PRON
flr-675	36	25	they	they	PRON
flr-675	36	26	categorised	categorise	VERB
flr-675	36	27	into	into	ADP
flr-675	36	28	:	:	PUNCT
flr-675	36	29	students	student	NOUN
flr-675	36	30	’	'	PUNCT
flr-675	36	31	experiences	experience	NOUN
flr-675	36	32	of	of	ADP
flr-675	36	33	curriculum	curriculum	NOUN
flr-675	36	34	practices	practice	NOUN
flr-675	36	35	;	;	PUNCT
flr-675	36	36	relationships	relationship	NOUN
flr-675	36	37	between	between	ADP
flr-675	36	38	staff	staff	NOUN
flr-675	36	39	and	and	CCONJ
flr-675	36	40	students	student	NOUN
flr-675	36	41	;	;	PUNCT
flr-675	36	42	social	social	ADJ
flr-675	36	43	,	,	PUNCT
flr-675	36	44	cultural	cultural	ADJ
flr-675	36	45	and	and	CCONJ
flr-675	36	46	economic	economic	ADJ
flr-675	36	47	capital	capital	NOUN
flr-675	36	48	;	;	PUNCT
flr-675	36	49	and	and	CCONJ
flr-675	36	50	psychosocial	psychosocial	ADJ
flr-675	36	51	and	and	CCONJ
flr-675	36	52	identity	identity	NOUN
flr-675	36	53	factors	factor	NOUN
flr-675	36	54	.	.	PUNCT
flr-675	37	1	mountford	mountford	NOUN
flr-675	37	2	-	-	PUNCT
flr-675	37	3	zimdars	zimdar	NOUN
flr-675	37	4	et	et	NOUN
flr-675	37	5	al	al	PROPN
flr-675	37	6	.	.	PROPN
flr-675	37	7	also	also	ADV
flr-675	37	8	proposed	propose	VERB
flr-675	37	9	the	the	DET
flr-675	37	10	use	use	NOUN
flr-675	37	11	of	of	ADP
flr-675	37	12	a	a	DET
flr-675	37	13	multi	multi	ADJ
flr-675	37	14	-	-	ADJ
flr-675	37	15	level	level	ADJ
flr-675	37	16	framework	framework	NOUN
flr-675	37	17	for	for	ADP
flr-675	37	18	understanding	understand	VERB
flr-675	37	19	these	these	DET
flr-675	37	20	explanatory	explanatory	ADJ
flr-675	37	21	factors	factor	NOUN
flr-675	37	22	.	.	PUNCT
flr-675	38	1	at	at	ADP
flr-675	38	2	a	a	DET
flr-675	38	3	micro	micro	NOUN
flr-675	38	4	-	-	NOUN
flr-675	38	5	level	level	ADJ
flr-675	38	6	,	,	PUNCT
flr-675	38	7	explanatory	explanatory	ADJ
flr-675	38	8	factors	factor	NOUN
flr-675	38	9	may	may	AUX
flr-675	38	10	be	be	AUX
flr-675	38	11	related	relate	VERB
flr-675	38	12	to	to	ADP
flr-675	38	13	the	the	DET
flr-675	38	14	individual	individual	ADJ
flr-675	38	15	student	student	NOUN
flr-675	38	16	and	and	CCONJ
flr-675	38	17	their	their	PRON
flr-675	38	18	one	one	NUM
flr-675	38	19	-	-	PUNCT
flr-675	38	20	to	to	ADP
flr-675	38	21	-	-	PUNCT
flr-675	38	22	one	one	NUM
flr-675	38	23	interactions	interaction	NOUN
flr-675	38	24	with	with	ADP
flr-675	38	25	university	university	NOUN
flr-675	38	26	staff	staff	NOUN
flr-675	38	27	.	.	PUNCT
flr-675	39	1	at	at	ADP
flr-675	39	2	a	a	DET
flr-675	39	3	meso	meso	NOUN
flr-675	39	4	-	-	PUNCT
flr-675	39	5	level	level	NOUN
flr-675	39	6	,	,	PUNCT
flr-675	39	7	explanatory	explanatory	ADJ
flr-675	39	8	factors	factor	NOUN
flr-675	39	9	may	may	AUX
flr-675	39	10	involve	involve	VERB
flr-675	39	11	institutional	institutional	ADJ
flr-675	39	12	and	and	CCONJ
flr-675	39	13	learning	learn	VERB
flr-675	39	14	environment	environment	NOUN
flr-675	39	15	factors	factor	NOUN
flr-675	39	16	.	.	PUNCT
flr-675	40	1	at	at	ADP
flr-675	40	2	a	a	DET
flr-675	40	3	macro	macro	NOUN
flr-675	40	4	-	-	NOUN
flr-675	40	5	level	level	NOUN
flr-675	40	6	,	,	PUNCT
flr-675	40	7	explanatory	explanatory	ADJ
flr-675	40	8	factors	factor	NOUN
flr-675	40	9	may	may	AUX
flr-675	40	10	be	be	AUX
flr-675	40	11	due	due	ADJ
flr-675	40	12	to	to	ADP
flr-675	40	13	the	the	DET
flr-675	40	14	wider	wider	ADV
flr-675	40	15	higher	high	ADJ
flr-675	40	16	education	education	NOUN
flr-675	40	17	context	context	NOUN
flr-675	40	18	and	and	CCONJ
flr-675	40	19	structure	structure	NOUN
flr-675	40	20	.	.	PUNCT
flr-675	41	1	these	these	DET
flr-675	41	2	explanatory	explanatory	ADJ
flr-675	41	3	factors	factor	NOUN
flr-675	41	4	intersect	intersect	ADJ
flr-675	41	5	with	with	ADP
flr-675	41	6	the	the	DET
flr-675	41	7	multi	multi	ADJ
flr-675	41	8	-	-	ADJ
flr-675	41	9	level	level	ADJ
flr-675	41	10	framework	framework	NOUN
flr-675	41	11	,	,	PUNCT
flr-675	41	12	so	so	SCONJ
flr-675	41	13	they	they	PRON
flr-675	41	14	may	may	AUX
flr-675	41	15	occur	occur	VERB
flr-675	41	16	at	at	ADP
flr-675	41	17	multiple	multiple	ADJ
flr-675	41	18	levels	level	NOUN
flr-675	41	19	and	and	CCONJ
flr-675	41	20	at	at	ADP
flr-675	41	21	various	various	ADJ
flr-675	41	22	stages	stage	NOUN
flr-675	41	23	throughout	throughout	ADP
flr-675	41	24	students	student	NOUN
flr-675	41	25	’	'	PUNCT
flr-675	41	26	transitions	transition	NOUN
flr-675	41	27	.	.	PUNCT
flr-675	42	1	figure	figure	NOUN
flr-675	42	2	1	1	NUM
flr-675	42	3	shows	show	VERB
flr-675	42	4	how	how	SCONJ
flr-675	42	5	these	these	DET
flr-675	42	6	explanatory	explanatory	ADJ
flr-675	42	7	factors	factor	NOUN
flr-675	42	8	might	might	AUX
flr-675	42	9	manifest	manifest	VERB
flr-675	42	10	at	at	ADP
flr-675	42	11	the	the	DET
flr-675	42	12	multiple	multiple	ADJ
flr-675	42	13	levels	level	NOUN
flr-675	42	14	of	of	ADP
flr-675	42	15	mountford	mountford	NOUN
flr-675	42	16	-	-	PUNCT
flr-675	42	17	zimdars	zimdar	NOUN
flr-675	42	18	et	et	NOUN
flr-675	42	19	al	al	PROPN
flr-675	42	20	.	.	PROPN
flr-675	42	21	’s	’s	PART
flr-675	42	22	framework	framework	NOUN
flr-675	42	23	.	.	PUNCT
flr-675	43	1	figure	figure	NOUN
flr-675	43	2	1	1	NUM
flr-675	43	3	.	.	PUNCT
flr-675	44	1	multi	multi	ADJ
flr-675	44	2	-	-	ADJ
flr-675	44	3	level	level	ADJ
flr-675	44	4	framework	framework	NOUN
flr-675	44	5	of	of	ADP
flr-675	44	6	explanatory	explanatory	ADJ
flr-675	44	7	factors	factor	NOUN
flr-675	44	8	for	for	ADP
flr-675	44	9	differential	differential	ADJ
flr-675	44	10	student	student	NOUN
flr-675	44	11	outcomes	outcome	NOUN
flr-675	44	12	based	base	VERB
flr-675	44	13	on	on	ADP
flr-675	44	14	the	the	DET
flr-675	44	15	model	model	NOUN
flr-675	44	16	from	from	ADP
flr-675	44	17	mountford	mountford	NOUN
flr-675	44	18	-	-	PUNCT
flr-675	44	19	zimdars	zimdar	NOUN
flr-675	44	20	et	et	NOUN
flr-675	44	21	al	al	PROPN
flr-675	44	22	.	.	PROPN
flr-675	45	1	(	(	PUNCT
flr-675	45	2	2015	2015	NUM
flr-675	45	3	)	)	PUNCT
flr-675	45	4	although	although	SCONJ
flr-675	45	5	institutions	institution	NOUN
flr-675	45	6	have	have	AUX
flr-675	45	7	attempted	attempt	VERB
flr-675	45	8	to	to	PART
flr-675	45	9	tackle	tackle	VERB
flr-675	45	10	differential	differential	ADJ
flr-675	45	11	student	student	NOUN
flr-675	45	12	outcomes	outcome	NOUN
flr-675	45	13	,	,	PUNCT
flr-675	45	14	interventions	intervention	NOUN
flr-675	45	15	often	often	ADV
flr-675	45	16	simultaneously	simultaneously	ADV
flr-675	45	17	target	target	VERB
flr-675	45	18	both	both	DET
flr-675	45	19	microand	microand	NOUN
flr-675	45	20	meso	meso	NOUN
flr-675	45	21	-	-	PUNCT
flr-675	45	22	level	level	NOUN
flr-675	45	23	components	component	NOUN
flr-675	45	24	,	,	PUNCT
flr-675	45	25	so	so	SCONJ
flr-675	45	26	it	it	PRON
flr-675	45	27	is	be	AUX
flr-675	45	28	difficult	difficult	ADJ
flr-675	45	29	for	for	ADP
flr-675	45	30	teaching	teach	VERB
flr-675	45	31	staff	staff	NOUN
flr-675	45	32	to	to	PART
flr-675	45	33	disentangle	disentangle	VERB
flr-675	45	34	which	which	DET
flr-675	45	35	actions	action	NOUN
flr-675	45	36	are	be	AUX
flr-675	45	37	reducing	reduce	VERB
flr-675	45	38	gaps	gap	NOUN
flr-675	45	39	and	and	CCONJ
flr-675	45	40	which	which	PRON
flr-675	45	41	are	be	AUX
flr-675	45	42	unsuccessful	unsuccessful	ADJ
flr-675	45	43	(	(	PUNCT
flr-675	45	44	miller	miller	PROPN
flr-675	45	45	,	,	PUNCT
flr-675	45	46	2016	2016	NUM
flr-675	45	47	)	)	PUNCT
flr-675	45	48	.	.	PUNCT
flr-675	46	1	as	as	ADP
flr-675	46	2	a	a	DET
flr-675	46	3	result	result	NOUN
flr-675	46	4	,	,	PUNCT
flr-675	46	5	research	research	NOUN
flr-675	46	6	-	-	PUNCT
flr-675	46	7	informed	inform	VERB
flr-675	46	8	changes	change	NOUN
flr-675	46	9	to	to	ADP
flr-675	46	10	practice	practice	NOUN
flr-675	46	11	may	may	AUX
flr-675	46	12	currently	currently	ADV
flr-675	46	13	be	be	AUX
flr-675	46	14	limited	limit	VERB
flr-675	46	15	.	.	PUNCT
flr-675	47	1	incorporating	incorporate	VERB
flr-675	47	2	the	the	DET
flr-675	47	3	model	model	NOUN
flr-675	47	4	in	in	ADP
flr-675	47	5	figure	figure	NOUN
flr-675	47	6	1	1	NUM
flr-675	47	7	into	into	ADP
flr-675	47	8	quantitative	quantitative	ADJ
flr-675	47	9	analyses	analysis	NOUN
flr-675	47	10	may	may	AUX
flr-675	47	11	enable	enable	VERB
flr-675	47	12	a	a	DET
flr-675	47	13	greater	great	ADJ
flr-675	47	14	understanding	understanding	NOUN
flr-675	47	15	of	of	ADP
flr-675	47	16	the	the	DET
flr-675	47	17	specific	specific	ADJ
flr-675	47	18	aspects	aspect	NOUN
flr-675	47	19	of	of	ADP
flr-675	47	20	students	student	NOUN
flr-675	47	21	’	’	PART
flr-675	47	22	backgrounds	background	NOUN
flr-675	47	23	and	and	CCONJ
flr-675	47	24	the	the	DET
flr-675	47	25	university	university	NOUN
flr-675	47	26	environment	environment	NOUN
flr-675	47	27	that	that	PRON
flr-675	47	28	are	be	AUX
flr-675	47	29	associated	associate	VERB
flr-675	47	30	with	with	ADP
flr-675	47	31	differential	differential	ADJ
flr-675	47	32	outcomes	outcome	NOUN
flr-675	47	33	within	within	ADP
flr-675	47	34	specific	specific	ADJ
flr-675	47	35	contexts	contexts	NOUN
flr-675	47	36	.	.	PUNCT
flr-675	48	1	mountford	mountford	NOUN
flr-675	48	2	-	-	PUNCT
flr-675	48	3	zimdars	zimdar	NOUN
flr-675	48	4	et	et	NOUN
flr-675	48	5	al	al	PROPN
flr-675	48	6	.	.	PROPN
flr-675	49	1	(	(	PUNCT
flr-675	49	2	2015	2015	NUM
flr-675	49	3	)	)	PUNCT
flr-675	49	4	made	make	VERB
flr-675	49	5	several	several	ADJ
flr-675	49	6	recommendations	recommendation	NOUN
flr-675	49	7	for	for	ADP
flr-675	49	8	reducing	reduce	VERB
flr-675	49	9	differential	differential	ADJ
flr-675	49	10	student	student	NOUN
flr-675	49	11	outcomes	outcome	NOUN
flr-675	49	12	in	in	ADP
flr-675	49	13	their	their	PRON
flr-675	49	14	report	report	NOUN
flr-675	49	15	,	,	PUNCT
flr-675	49	16	and	and	CCONJ
flr-675	49	17	we	we	PRON
flr-675	49	18	propose	propose	VERB
flr-675	49	19	that	that	SCONJ
flr-675	49	20	the	the	DET
flr-675	49	21	current	current	ADJ
flr-675	49	22	primer	primer	NOUN
flr-675	49	23	might	might	AUX
flr-675	49	24	support	support	VERB
flr-675	49	25	institutions	institution	NOUN
flr-675	49	26	in	in	ADP
flr-675	49	27	attending	attend	VERB
flr-675	49	28	to	to	ADP
flr-675	49	29	some	some	PRON
flr-675	49	30	of	of	ADP
flr-675	49	31	those	those	DET
flr-675	49	32	suggestions	suggestion	NOUN
flr-675	49	33	.	.	PUNCT
flr-675	50	1	firstly	firstly	ADV
flr-675	50	2	,	,	PUNCT
flr-675	50	3	this	this	DET
flr-675	50	4	primer	primer	NOUN
flr-675	50	5	provides	provide	VERB
flr-675	50	6	guidance	guidance	NOUN
flr-675	50	7	about	about	ADP
flr-675	50	8	how	how	SCONJ
flr-675	50	9	to	to	PART
flr-675	50	10	enhance	enhance	VERB
flr-675	50	11	the	the	DET
flr-675	50	12	evidence	evidence	NOUN
flr-675	50	13	-	-	PUNCT
flr-675	50	14	base	base	NOUN
flr-675	50	15	by	by	ADP
flr-675	50	16	drawing	draw	VERB
flr-675	50	17	on	on	ADP
flr-675	50	18	module	module	NOUN
flr-675	50	19	-	-	PUNCT
flr-675	50	20	level	level	NOUN
flr-675	50	21	data	datum	NOUN
flr-675	50	22	1	1	NUM
flr-675	50	23	,	,	PUNCT
flr-675	50	24	linking	link	VERB
flr-675	50	25	sources	source	NOUN
flr-675	50	26	of	of	ADP
flr-675	50	27	internal	internal	ADJ
flr-675	50	28	data	datum	NOUN
flr-675	50	29	that	that	PRON
flr-675	50	30	have	have	AUX
flr-675	50	31	not	not	PART
flr-675	50	32	previously	previously	ADV
flr-675	50	33	been	be	AUX
flr-675	50	34	connected	connect	VERB
flr-675	50	35	to	to	PART
flr-675	50	36	increase	increase	VERB
flr-675	50	37	understanding	understanding	NOUN
flr-675	50	38	about	about	ADP
flr-675	50	39	the	the	DET
flr-675	50	40	institution	institution	NOUN
flr-675	50	41	’s	’s	PART
flr-675	50	42	context	context	NOUN
flr-675	50	43	within	within	ADP
flr-675	50	44	the	the	DET
flr-675	50	45	larger	large	ADJ
flr-675	50	46	national	national	ADJ
flr-675	50	47	and	and	CCONJ
flr-675	50	48	international	international	ADJ
flr-675	50	49	picture	picture	NOUN
flr-675	50	50	.	.	PUNCT
flr-675	51	1	the	the	DET
flr-675	51	2	methods	method	NOUN
flr-675	51	3	should	should	AUX
flr-675	51	4	raise	raise	VERB
flr-675	51	5	awareness	awareness	NOUN
flr-675	51	6	among	among	ADP
flr-675	51	7	staff	staff	NOUN
flr-675	51	8	with	with	ADP
flr-675	51	9	strategic	strategic	ADJ
flr-675	51	10	responsibilities	responsibility	NOUN
flr-675	51	11	,	,	PUNCT
flr-675	51	12	enabling	enable	VERB
flr-675	51	13	interventions	intervention	NOUN
flr-675	51	14	to	to	PART
flr-675	51	15	be	be	AUX
flr-675	51	16	informed	inform	VERB
flr-675	51	17	by	by	ADP
flr-675	51	18	evidence	evidence	NOUN
flr-675	51	19	that	that	PRON
flr-675	51	20	is	be	AUX
flr-675	51	21	relevant	relevant	ADJ
flr-675	51	22	to	to	ADP
flr-675	51	23	the	the	DET
flr-675	51	24	institutional	institutional	ADJ
flr-675	51	25	context	context	NOUN
flr-675	51	26	.	.	PUNCT
flr-675	52	1	finally	finally	ADV
flr-675	52	2	,	,	PUNCT
flr-675	52	3	this	this	DET
flr-675	52	4	primer	primer	NOUN
flr-675	52	5	supports	support	VERB
flr-675	52	6	institutions	institution	NOUN
flr-675	52	7	in	in	ADP
flr-675	52	8	‘	'	PUNCT
flr-675	52	9	embedding	embed	VERB
flr-675	52	10	the	the	DET
flr-675	52	11	agenda	agenda	NOUN
flr-675	52	12	’	'	PUNCT
flr-675	52	13	through	through	ADP
flr-675	52	14	aiding	aid	VERB
flr-675	52	15	the	the	DET
flr-675	52	16	design	design	NOUN
flr-675	52	17	of	of	ADP
flr-675	52	18	both	both	DET
flr-675	52	19	targeted	target	VERB
flr-675	52	20	interventions	intervention	NOUN
flr-675	52	21	(	(	PUNCT
flr-675	52	22	i.e.	i.e.	X
flr-675	52	23	interventions	intervention	NOUN
flr-675	52	24	that	that	PRON
flr-675	52	25	are	be	AUX
flr-675	52	26	directed	direct	VERB
flr-675	52	27	at	at	ADP
flr-675	52	28	specific	specific	ADJ
flr-675	52	29	student	student	NOUN
flr-675	52	30	groups	group	NOUN
flr-675	52	31	)	)	PUNCT
flr-675	52	32	and	and	CCONJ
flr-675	52	33	universal	universal	ADJ
flr-675	52	34	interventions	intervention	NOUN
flr-675	52	35	(	(	PUNCT
flr-675	52	36	i.e.	i.e.	X
flr-675	52	37	interventions	intervention	NOUN
flr-675	52	38	for	for	ADP
flr-675	52	39	all	all	DET
flr-675	52	40	students	student	NOUN
flr-675	52	41	that	that	PRON
flr-675	52	42	may	may	AUX
flr-675	52	43	be	be	AUX
flr-675	52	44	particularly	particularly	ADV
flr-675	52	45	beneficial	beneficial	ADJ
flr-675	52	46	for	for	ADP
flr-675	52	47	specific	specific	ADJ
flr-675	52	48	student	student	NOUN
flr-675	52	49	groups	group	NOUN
flr-675	52	50	)	)	PUNCT
flr-675	52	51	.	.	PUNCT
flr-675	53	1	since	since	SCONJ
flr-675	53	2	explanatory	explanatory	ADJ
flr-675	53	3	factors	factor	NOUN
flr-675	53	4	that	that	PRON
flr-675	53	5	occur	occur	VERB
flr-675	53	6	at	at	ADP
flr-675	53	7	the	the	DET
flr-675	53	8	microand	microand	NOUN
flr-675	53	9	meso	meso	NOUN
flr-675	53	10	-	-	PUNCT
flr-675	53	11	levels	level	NOUN
flr-675	53	12	are	be	AUX
flr-675	53	13	perceived	perceive	VERB
flr-675	53	14	to	to	PART
flr-675	53	15	be	be	AUX
flr-675	53	16	the	the	DET
flr-675	53	17	institution	institution	NOUN
flr-675	53	18	’s	’s	PART
flr-675	53	19	responsibilities	responsibility	NOUN
flr-675	53	20	(	(	PUNCT
flr-675	53	21	mountford	mountford	NOUN
flr-675	53	22	-	-	PUNCT
flr-675	53	23	zimdars	zimdar	NOUN
flr-675	53	24	et	et	NOUN
flr-675	53	25	al	al	PROPN
flr-675	53	26	.	.	PROPN
flr-675	53	27	,	,	PUNCT
flr-675	53	28	2015	2015	NUM
flr-675	53	29	)	)	PUNCT
flr-675	53	30	,	,	PUNCT
flr-675	53	31	these	these	DET
flr-675	53	32	factors	factor	NOUN
flr-675	53	33	need	need	VERB
flr-675	53	34	to	to	PART
flr-675	53	35	be	be	AUX
flr-675	53	36	operationalised	operationalise	VERB
flr-675	53	37	if	if	SCONJ
flr-675	53	38	they	they	PRON
flr-675	53	39	are	be	AUX
flr-675	53	40	to	to	PART
flr-675	53	41	be	be	AUX
flr-675	53	42	included	include	VERB
flr-675	53	43	in	in	ADP
flr-675	53	44	quantitative	quantitative	ADJ
flr-675	53	45	models	model	NOUN
flr-675	53	46	.	.	PUNCT
flr-675	54	1	micro	micro	ADJ
flr-675	54	2	-	-	NOUN
flr-675	54	3	level	level	ADJ
flr-675	54	4	factors	factor	NOUN
flr-675	54	5	occur	occur	VERB
flr-675	54	6	at	at	ADP
flr-675	54	7	an	an	DET
flr-675	54	8	individual	individual	ADJ
flr-675	54	9	level	level	NOUN
flr-675	54	10	,	,	PUNCT
flr-675	54	11	so	so	SCONJ
flr-675	54	12	it	it	PRON
flr-675	54	13	is	be	AUX
flr-675	54	14	possible	possible	ADJ
flr-675	54	15	to	to	PART
flr-675	54	16	quantify	quantify	VERB
flr-675	54	17	some	some	PRON
flr-675	54	18	of	of	ADP
flr-675	54	19	these	these	PRON
flr-675	54	20	as	as	ADP
flr-675	54	21	variables	variable	NOUN
flr-675	54	22	using	use	VERB
flr-675	54	23	validated	validated	ADJ
flr-675	54	24	self	self	NOUN
flr-675	54	25	-	-	PUNCT
flr-675	54	26	report	report	NOUN
flr-675	54	27	questionnaires	questionnaire	NOUN
flr-675	54	28	.	.	PUNCT
flr-675	55	1	for	for	ADP
flr-675	55	2	example	example	NOUN
flr-675	55	3	,	,	PUNCT
flr-675	55	4	the	the	DET
flr-675	55	5	university	university	NOUN
flr-675	55	6	attachment	attachment	NOUN
flr-675	55	7	scale	scale	NOUN
flr-675	55	8	(	(	PUNCT
flr-675	55	9	france	france	PROPN
flr-675	55	10	et	et	PROPN
flr-675	55	11	al	al	PROPN
flr-675	55	12	.	.	PROPN
flr-675	55	13	,	,	PUNCT
flr-675	55	14	2010	2010	NUM
flr-675	55	15	)	)	PUNCT
flr-675	55	16	includes	include	VERB
flr-675	55	17	a	a	DET
flr-675	55	18	subscale	subscale	NOUN
flr-675	55	19	for	for	ADP
flr-675	55	20	measuring	measure	VERB
flr-675	55	21	students	student	NOUN
flr-675	55	22	’	'	PUNCT
flr-675	55	23	sense	sense	NOUN
flr-675	55	24	of	of	ADP
flr-675	55	25	belonging	belong	VERB
flr-675	55	26	to	to	ADP
flr-675	55	27	the	the	DET
flr-675	55	28	university	university	NOUN
flr-675	55	29	.	.	PUNCT
flr-675	56	1	meso	meso	NOUN
flr-675	56	2	-	-	PUNCT
flr-675	56	3	level	level	NOUN
flr-675	56	4	variables	variable	NOUN
flr-675	56	5	mostly	mostly	ADV
flr-675	56	6	involve	involve	VERB
flr-675	56	7	the	the	DET
flr-675	56	8	group	group	NOUN
flr-675	56	9	-	-	PUNCT
flr-675	56	10	level	level	NOUN
flr-675	56	11	features	feature	NOUN
flr-675	56	12	of	of	ADP
flr-675	56	13	modules	module	NOUN
flr-675	56	14	and	and	CCONJ
flr-675	56	15	programmes	programme	NOUN
flr-675	56	16	.	.	PUNCT
flr-675	57	1	whilst	whilst	SCONJ
flr-675	57	2	the	the	DET
flr-675	57	3	potential	potential	ADJ
flr-675	57	4	difficulty	difficulty	NOUN
flr-675	57	5	of	of	ADP
flr-675	57	6	gathering	gather	VERB
flr-675	57	7	quantitative	quantitative	ADJ
flr-675	57	8	data	datum	NOUN
flr-675	57	9	of	of	ADP
flr-675	57	10	curriculum	curriculum	NOUN
flr-675	57	11	content	content	NOUN
flr-675	57	12	has	have	AUX
flr-675	57	13	previously	previously	ADV
flr-675	57	14	been	be	AUX
flr-675	57	15	noted	note	VERB
flr-675	57	16	(	(	PUNCT
flr-675	57	17	miller	miller	PROPN
flr-675	57	18	,	,	PUNCT
flr-675	57	19	2016	2016	NUM
flr-675	57	20	)	)	PUNCT
flr-675	57	21	,	,	PUNCT
flr-675	57	22	we	we	PRON
flr-675	57	23	suggest	suggest	VERB
flr-675	57	24	that	that	SCONJ
flr-675	57	25	these	these	DET
flr-675	57	26	data	datum	NOUN
flr-675	57	27	could	could	AUX
flr-675	57	28	be	be	AUX
flr-675	57	29	obtained	obtain	VERB
flr-675	57	30	from	from	ADP
flr-675	57	31	a	a	DET
flr-675	57	32	document	document	NOUN
flr-675	57	33	analysis	analysis	NOUN
flr-675	57	34	or	or	CCONJ
flr-675	57	35	audit	audit	NOUN
flr-675	57	36	of	of	ADP
flr-675	57	37	module	module	NOUN
flr-675	57	38	descriptors	descriptor	NOUN
flr-675	57	39	,	,	PUNCT
flr-675	57	40	module	module	NOUN
flr-675	57	41	booklets	booklet	NOUN
flr-675	57	42	,	,	PUNCT
flr-675	57	43	examiner	examiner	NOUN
flr-675	57	44	reports	report	NOUN
flr-675	57	45	,	,	PUNCT
flr-675	57	46	prospectuses	prospectus	NOUN
flr-675	57	47	,	,	PUNCT
flr-675	57	48	the	the	DET
flr-675	57	49	vle	vle	NOUN
flr-675	57	50	structure	structure	NOUN
flr-675	57	51	and	and	CCONJ
flr-675	57	52	use	use	NOUN
flr-675	57	53	,	,	PUNCT
flr-675	57	54	etc	etc	X
flr-675	57	55	.	.	X
flr-675	58	1	there	there	PRON
flr-675	58	2	is	be	VERB
flr-675	58	3	likely	likely	ADJ
flr-675	58	4	to	to	PART
flr-675	58	5	be	be	AUX
flr-675	58	6	a	a	DET
flr-675	58	7	wealth	wealth	NOUN
flr-675	58	8	of	of	ADP
flr-675	58	9	data	datum	NOUN
flr-675	58	10	available	available	ADJ
flr-675	58	11	that	that	PRON
flr-675	58	12	could	could	AUX
flr-675	58	13	be	be	AUX
flr-675	58	14	useful	useful	ADJ
flr-675	58	15	,	,	PUNCT
flr-675	58	16	covering	cover	VERB
flr-675	58	17	support	support	NOUN
flr-675	58	18	available	available	ADJ
flr-675	58	19	to	to	ADP
flr-675	58	20	students	student	NOUN
flr-675	58	21	,	,	PUNCT
flr-675	58	22	types	type	NOUN
flr-675	58	23	of	of	ADP
flr-675	58	24	assessment	assessment	NOUN
flr-675	58	25	,	,	PUNCT
flr-675	58	26	extra	extra	ADJ
flr-675	58	27	-	-	ADJ
flr-675	58	28	curricular	curricular	ADJ
flr-675	58	29	activities	activity	NOUN
flr-675	58	30	,	,	PUNCT
flr-675	58	31	departmental	departmental	ADJ
flr-675	58	32	policies	policy	NOUN
flr-675	58	33	,	,	PUNCT
flr-675	58	34	and	and	CCONJ
flr-675	58	35	anything	anything	PRON
flr-675	58	36	else	else	ADV
flr-675	58	37	that	that	PRON
flr-675	58	38	may	may	AUX
flr-675	58	39	be	be	AUX
flr-675	58	40	relevant	relevant	ADJ
flr-675	58	41	to	to	ADP
flr-675	58	42	the	the	DET
flr-675	58	43	disciplinary	disciplinary	ADJ
flr-675	58	44	and	and	CCONJ
flr-675	58	45	institutional	institutional	ADJ
flr-675	58	46	context	context	NOUN
flr-675	58	47	.	.	PUNCT
flr-675	59	1	the	the	DET
flr-675	59	2	use	use	NOUN
flr-675	59	3	of	of	ADP
flr-675	59	4	learning	learn	VERB
flr-675	59	5	analytics	analytic	NOUN
flr-675	59	6	data	datum	NOUN
flr-675	59	7	might	might	AUX
flr-675	59	8	also	also	ADV
flr-675	59	9	prove	prove	VERB
flr-675	59	10	useful	useful	ADJ
flr-675	59	11	at	at	ADP
flr-675	59	12	both	both	DET
flr-675	59	13	microand	microand	NOUN
flr-675	59	14	meso	meso	NOUN
flr-675	59	15	-	-	PUNCT
flr-675	59	16	levels	level	NOUN
flr-675	59	17	.	.	PUNCT
flr-675	60	1	since	since	SCONJ
flr-675	60	2	macro	macro	NOUN
flr-675	60	3	-	-	NOUN
flr-675	60	4	level	level	ADJ
flr-675	60	5	variables	variable	NOUN
flr-675	60	6	occur	occur	VERB
flr-675	60	7	at	at	ADP
flr-675	60	8	the	the	DET
flr-675	60	9	sectoral	sectoral	ADJ
flr-675	60	10	level	level	NOUN
flr-675	60	11	,	,	PUNCT
flr-675	60	12	it	it	PRON
flr-675	60	13	may	may	AUX
flr-675	60	14	be	be	AUX
flr-675	60	15	difficult	difficult	ADJ
flr-675	60	16	to	to	PART
flr-675	60	17	model	model	VERB
flr-675	60	18	variation	variation	NOUN
flr-675	60	19	in	in	ADP
flr-675	60	20	these	these	DET
flr-675	60	21	variables	variable	NOUN
flr-675	60	22	unless	unless	SCONJ
flr-675	60	23	data	datum	NOUN
flr-675	60	24	are	be	AUX
flr-675	60	25	being	be	AUX
flr-675	60	26	shared	share	VERB
flr-675	60	27	across	across	ADP
flr-675	60	28	institutions	institution	NOUN
flr-675	60	29	,	,	PUNCT
flr-675	60	30	but	but	CCONJ
flr-675	60	31	there	there	PRON
flr-675	60	32	is	be	VERB
flr-675	60	33	scope	scope	NOUN
flr-675	60	34	for	for	ADP
flr-675	60	35	gathering	gather	VERB
flr-675	60	36	these	these	DET
flr-675	60	37	data	datum	NOUN
flr-675	60	38	.	.	PUNCT
flr-675	61	1	ultimately	ultimately	ADV
flr-675	61	2	,	,	PUNCT
flr-675	61	3	each	each	DET
flr-675	61	4	institution	institution	NOUN
flr-675	61	5	needs	need	VERB
flr-675	61	6	to	to	PART
flr-675	61	7	identify	identify	VERB
flr-675	61	8	their	their	PRON
flr-675	61	9	own	own	ADJ
flr-675	61	10	priorities	priority	NOUN
flr-675	61	11	whilst	whilst	SCONJ
flr-675	61	12	ensuring	ensure	VERB
flr-675	61	13	they	they	PRON
flr-675	61	14	align	align	VERB
flr-675	61	15	with	with	ADP
flr-675	61	16	the	the	DET
flr-675	61	17	discussed	discuss	VERB
flr-675	61	18	theory	theory	NOUN
flr-675	61	19	.	.	PUNCT
flr-675	62	1	they	they	PRON
flr-675	62	2	must	must	AUX
flr-675	62	3	base	base	VERB
flr-675	62	4	their	their	PRON
flr-675	62	5	priorities	priority	NOUN
flr-675	62	6	on	on	ADP
flr-675	62	7	the	the	DET
flr-675	62	8	relevance	relevance	NOUN
flr-675	62	9	of	of	ADP
flr-675	62	10	the	the	DET
flr-675	62	11	variables	variable	NOUN
flr-675	62	12	to	to	ADP
flr-675	62	13	their	their	PRON
flr-675	62	14	particular	particular	ADJ
flr-675	62	15	student	student	NOUN
flr-675	62	16	groups	group	NOUN
flr-675	62	17	,	,	PUNCT
flr-675	62	18	the	the	DET
flr-675	62	19	data	datum	NOUN
flr-675	62	20	they	they	PRON
flr-675	62	21	have	have	VERB
flr-675	62	22	available	available	ADJ
flr-675	62	23	,	,	PUNCT
flr-675	62	24	and	and	CCONJ
flr-675	62	25	whether	whether	SCONJ
flr-675	62	26	their	their	PRON
flr-675	62	27	documentation	documentation	NOUN
flr-675	62	28	is	be	AUX
flr-675	62	29	an	an	DET
flr-675	62	30	accurate	accurate	ADJ
flr-675	62	31	depiction	depiction	NOUN
flr-675	62	32	of	of	ADP
flr-675	62	33	actual	actual	ADJ
flr-675	62	34	practices	practice	NOUN
flr-675	62	35	and	and	CCONJ
flr-675	62	36	how	how	SCONJ
flr-675	62	37	they	they	PRON
flr-675	62	38	are	be	AUX
flr-675	62	39	received	receive	VERB
flr-675	62	40	by	by	ADP
flr-675	62	41	students	student	NOUN
flr-675	62	42	.	.	PUNCT
flr-675	63	1	3	3	X
flr-675	63	2	.	.	X
flr-675	63	3	analysing	analyse	VERB
flr-675	63	4	multi	multi	ADJ
flr-675	63	5	-	-	ADJ
flr-675	63	6	level	level	ADJ
flr-675	63	7	quantitative	quantitative	ADJ
flr-675	63	8	evidence	evidence	NOUN
flr-675	63	9	for	for	ADP
flr-675	63	10	differential	differential	ADJ
flr-675	63	11	student	student	NOUN
flr-675	63	12	outcomes	outcome	NOUN
flr-675	63	13	in	in	ADP
flr-675	63	14	this	this	DET
flr-675	63	15	section	section	NOUN
flr-675	63	16	we	we	PRON
flr-675	63	17	provide	provide	VERB
flr-675	63	18	tutorials	tutorial	NOUN
flr-675	63	19	for	for	ADP
flr-675	63	20	how	how	SCONJ
flr-675	63	21	to	to	PART
flr-675	63	22	perform	perform	VERB
flr-675	63	23	and	and	CCONJ
flr-675	63	24	interpret	interpret	VERB
flr-675	63	25	analyses	analysis	NOUN
flr-675	63	26	of	of	ADP
flr-675	63	27	institutional	institutional	ADJ
flr-675	63	28	data	datum	NOUN
flr-675	63	29	that	that	PRON
flr-675	63	30	do	do	AUX
flr-675	63	31	not	not	PART
flr-675	63	32	require	require	VERB
flr-675	63	33	any	any	DET
flr-675	63	34	specialist	specialist	ADJ
flr-675	63	35	knowledge	knowledge	NOUN
flr-675	63	36	beyond	beyond	ADP
flr-675	63	37	a	a	DET
flr-675	63	38	basic	basic	ADJ
flr-675	63	39	understanding	understanding	NOUN
flr-675	63	40	of	of	ADP
flr-675	63	41	statistics	statistic	NOUN
flr-675	63	42	.	.	PUNCT
flr-675	64	1	all	all	DET
flr-675	64	2	tutorials	tutorial	NOUN
flr-675	64	3	utilise	utilise	VERB
flr-675	64	4	ibm	ibm	PROPN
flr-675	64	5	spss	spss	PROPN
flr-675	64	6	statistics	statistic	NOUN
flr-675	64	7	(	(	PUNCT
flr-675	64	8	ibm	ibm	PROPN
flr-675	64	9	corp	corp	PROPN
flr-675	64	10	.	.	PROPN
flr-675	64	11	,	,	PUNCT
flr-675	64	12	armonk	armonk	PROPN
flr-675	64	13	,	,	PUNCT
flr-675	64	14	ny	ny	PROPN
flr-675	64	15	,	,	PUNCT
flr-675	64	16	usa	usa	PROPN
flr-675	64	17	)	)	PUNCT
flr-675	64	18	and	and	CCONJ
flr-675	64	19	all	all	DET
flr-675	64	20	spss	spss	PROPN
flr-675	64	21	data	data	NOUN
flr-675	64	22	sets	set	NOUN
flr-675	64	23	,	,	PUNCT
flr-675	64	24	syntax	syntax	NOUN
flr-675	64	25	files	file	NOUN
flr-675	64	26	and	and	CCONJ
flr-675	64	27	macros	macro	NOUN
flr-675	64	28	to	to	PART
flr-675	64	29	run	run	VERB
flr-675	64	30	and	and	CCONJ
flr-675	64	31	adapt	adapt	VERB
flr-675	64	32	analyses	analysis	NOUN
flr-675	64	33	for	for	ADP
flr-675	64	34	readers	reader	NOUN
flr-675	64	35	’	'	PUNCT
flr-675	64	36	own	own	ADJ
flr-675	64	37	purposes	purpose	NOUN
flr-675	64	38	are	be	AUX
flr-675	64	39	freely	freely	ADV
flr-675	64	40	available	available	ADJ
flr-675	64	41	at	at	ADP
flr-675	64	42	https://doi.org/10.5281/zenodo.4115264	https://doi.org/10.5281/zenodo.4115264	NOUN
flr-675	64	43	,	,	PUNCT
flr-675	64	44	so	so	SCONJ
flr-675	64	45	readers	reader	NOUN
flr-675	64	46	only	only	ADV
flr-675	64	47	need	need	VERB
flr-675	64	48	access	access	NOUN
flr-675	64	49	to	to	ADP
flr-675	64	50	spss	spss	PROPN
flr-675	64	51	software	software	NOUN
flr-675	64	52	to	to	PART
flr-675	64	53	perform	perform	VERB
flr-675	64	54	the	the	DET
flr-675	64	55	same	same	ADJ
flr-675	64	56	analyses	analysis	NOUN
flr-675	64	57	or	or	CCONJ
flr-675	64	58	adaptations	adaptation	NOUN
flr-675	64	59	of	of	ADP
flr-675	64	60	these2	these2	PROPN
flr-675	64	61	.	.	PUNCT
flr-675	65	1	because	because	SCONJ
flr-675	65	2	spss	spss	PROPN
flr-675	65	3	syntax	syntax	NOUN
flr-675	65	4	has	have	AUX
flr-675	65	5	been	be	AUX
flr-675	65	6	provided	provide	VERB
flr-675	65	7	with	with	ADP
flr-675	65	8	code	code	NOUN
flr-675	65	9	for	for	ADP
flr-675	65	10	all	all	PRON
flr-675	65	11	of	of	ADP
flr-675	65	12	the	the	DET
flr-675	65	13	procedural	procedural	ADJ
flr-675	65	14	steps	step	NOUN
flr-675	65	15	of	of	ADP
flr-675	65	16	running	run	VERB
flr-675	65	17	the	the	DET
flr-675	65	18	necessary	necessary	ADJ
flr-675	65	19	statistical	statistical	ADJ
flr-675	65	20	tests	test	NOUN
flr-675	65	21	,	,	PUNCT
flr-675	65	22	we	we	PRON
flr-675	65	23	only	only	ADV
flr-675	65	24	focus	focus	VERB
flr-675	65	25	on	on	ADP
flr-675	65	26	how	how	SCONJ
flr-675	65	27	to	to	PART
flr-675	65	28	interpret	interpret	VERB
flr-675	65	29	the	the	DET
flr-675	65	30	results	result	NOUN
flr-675	65	31	of	of	ADP
flr-675	65	32	such	such	ADJ
flr-675	65	33	analyses	analysis	NOUN
flr-675	65	34	.	.	PUNCT
flr-675	66	1	the	the	DET
flr-675	66	2	data	datum	NOUN
flr-675	66	3	for	for	ADP
flr-675	66	4	all	all	DET
flr-675	66	5	examples	example	NOUN
flr-675	66	6	in	in	ADP
flr-675	66	7	this	this	DET
flr-675	66	8	primer	primer	NOUN
flr-675	66	9	are	be	AUX
flr-675	66	10	fictional	fictional	ADJ
flr-675	66	11	,	,	PUNCT
flr-675	66	12	and	and	CCONJ
flr-675	66	13	have	have	AUX
flr-675	66	14	only	only	ADV
flr-675	66	15	been	be	AUX
flr-675	66	16	designed	design	VERB
flr-675	66	17	to	to	PART
flr-675	66	18	simulate	simulate	VERB
flr-675	66	19	the	the	DET
flr-675	66	20	possible	possible	ADJ
flr-675	66	21	behaviour	behaviour	NOUN
flr-675	66	22	of	of	ADP
flr-675	66	23	institutional	institutional	ADJ
flr-675	66	24	data	datum	NOUN
flr-675	66	25	for	for	ADP
flr-675	66	26	the	the	DET
flr-675	66	27	purposes	purpose	NOUN
flr-675	66	28	of	of	ADP
flr-675	66	29	demonstrating	demonstrate	VERB
flr-675	66	30	how	how	SCONJ
flr-675	66	31	the	the	DET
flr-675	66	32	analytical	analytical	ADJ
flr-675	66	33	approaches	approach	NOUN
flr-675	66	34	can	can	AUX
flr-675	66	35	be	be	AUX
flr-675	66	36	used	use	VERB
flr-675	66	37	.	.	PUNCT
flr-675	67	1	no	no	DET
flr-675	67	2	inferences	inference	NOUN
flr-675	67	3	or	or	CCONJ
flr-675	67	4	conclusions	conclusion	NOUN
flr-675	67	5	should	should	AUX
flr-675	67	6	be	be	AUX
flr-675	67	7	drawn	draw	VERB
flr-675	67	8	from	from	ADP
flr-675	67	9	the	the	DET
flr-675	67	10	findings	finding	NOUN
flr-675	67	11	of	of	ADP
flr-675	67	12	these	these	DET
flr-675	67	13	examples	example	NOUN
flr-675	67	14	,	,	PUNCT
flr-675	67	15	because	because	SCONJ
flr-675	67	16	the	the	DET
flr-675	67	17	results	result	NOUN
flr-675	67	18	are	be	AUX
flr-675	67	19	not	not	PART
flr-675	67	20	real	real	ADJ
flr-675	67	21	.	.	PUNCT
flr-675	68	1	we	we	PRON
flr-675	68	2	anticipate	anticipate	VERB
flr-675	68	3	that	that	SCONJ
flr-675	68	4	readers	reader	NOUN
flr-675	68	5	can	can	AUX
flr-675	68	6	use	use	VERB
flr-675	68	7	the	the	DET
flr-675	68	8	example	example	NOUN
flr-675	68	9	data	datum	NOUN
flr-675	68	10	sets	set	NOUN
flr-675	68	11	as	as	ADP
flr-675	68	12	templates	template	NOUN
flr-675	68	13	and	and	CCONJ
flr-675	68	14	substitute	substitute	NOUN
flr-675	68	15	in	in	ADP
flr-675	68	16	their	their	PRON
flr-675	68	17	own	own	ADJ
flr-675	68	18	data	datum	NOUN
flr-675	68	19	.	.	PUNCT
flr-675	69	1	3.1	3.1	NUM
flr-675	69	2	individual	individual	ADJ
flr-675	69	3	-	-	PUNCT
flr-675	69	4	level	level	NOUN
flr-675	69	5	data	datum	NOUN
flr-675	69	6	(	(	PUNCT
flr-675	69	7	tutorials	tutorial	NOUN
flr-675	69	8	1	1	NUM
flr-675	69	9	and	and	CCONJ
flr-675	69	10	2	2	NUM
flr-675	69	11	)	)	PUNCT
flr-675	69	12	if	if	SCONJ
flr-675	69	13	data	datum	NOUN
flr-675	69	14	for	for	ADP
flr-675	69	15	individual	individual	ADJ
flr-675	69	16	students	student	NOUN
flr-675	69	17	(	(	PUNCT
flr-675	69	18	e.g.	e.g.	ADV
flr-675	69	19	their	their	PRON
flr-675	69	20	demographic	demographic	ADJ
flr-675	69	21	details	detail	NOUN
flr-675	69	22	and	and	CCONJ
flr-675	69	23	possibly	possibly	ADV
flr-675	69	24	questionnaire	questionnaire	NOUN
flr-675	69	25	responses	response	NOUN
flr-675	69	26	)	)	PUNCT
flr-675	69	27	are	be	AUX
flr-675	69	28	accessible	accessible	ADJ
flr-675	69	29	for	for	ADP
flr-675	69	30	the	the	DET
flr-675	69	31	purposes	purpose	NOUN
flr-675	69	32	described	describe	VERB
flr-675	69	33	in	in	ADP
flr-675	69	34	this	this	DET
flr-675	69	35	primer	primer	NOUN
flr-675	69	36	,	,	PUNCT
flr-675	69	37	it	it	PRON
flr-675	69	38	is	be	AUX
flr-675	69	39	possible	possible	ADJ
flr-675	69	40	to	to	PART
flr-675	69	41	analyse	analyse	VERB
flr-675	69	42	these	these	DET
flr-675	69	43	data	datum	NOUN
flr-675	69	44	using	use	VERB
flr-675	69	45	two	two	NUM
flr-675	69	46	common	common	ADJ
flr-675	69	47	regression	regression	NOUN
flr-675	69	48	approaches	approach	NOUN
flr-675	69	49	based	base	VERB
flr-675	69	50	on	on	ADP
flr-675	69	51	the	the	DET
flr-675	69	52	general	general	ADJ
flr-675	69	53	linear	linear	PROPN
flr-675	69	54	model	model	NOUN
flr-675	69	55	(	(	PUNCT
flr-675	69	56	glm	glm	PROPN
flr-675	69	57	)	)	PUNCT
flr-675	69	58	.	.	PUNCT
flr-675	70	1	therefore	therefore	ADV
flr-675	70	2	,	,	PUNCT
flr-675	70	3	in	in	ADP
flr-675	70	4	tutorials	tutorial	NOUN
flr-675	70	5	1	1	NUM
flr-675	70	6	and	and	CCONJ
flr-675	70	7	2	2	NUM
flr-675	70	8	we	we	PRON
flr-675	70	9	provide	provide	VERB
flr-675	70	10	guidance	guidance	NOUN
flr-675	70	11	about	about	ADP
flr-675	70	12	how	how	SCONJ
flr-675	70	13	to	to	PART
flr-675	70	14	perform	perform	VERB
flr-675	70	15	and	and	CCONJ
flr-675	70	16	interpret	interpret	VERB
flr-675	70	17	analyses	analysis	NOUN
flr-675	70	18	of	of	ADP
flr-675	70	19	example	example	NOUN
flr-675	70	20	individual	individual	ADJ
flr-675	70	21	-	-	PUNCT
flr-675	70	22	level	level	NOUN
flr-675	70	23	data	datum	NOUN
flr-675	70	24	in	in	ADP
flr-675	70	25	order	order	NOUN
flr-675	70	26	to	to	PART
flr-675	70	27	model	model	VERB
flr-675	70	28	potential	potential	ADJ
flr-675	70	29	explanatory	explanatory	ADJ
flr-675	70	30	factors	factor	NOUN
flr-675	70	31	as	as	ADP
flr-675	70	32	covariates	covariate	NOUN
flr-675	70	33	3	3	NUM
flr-675	70	34	of	of	ADP
flr-675	70	35	attainment	attainment	ADJ
flr-675	70	36	and	and	CCONJ
flr-675	70	37	continuation	continuation	NOUN
flr-675	70	38	gaps	gap	NOUN
flr-675	70	39	.	.	PUNCT
flr-675	71	1	these	these	DET
flr-675	71	2	examples	example	NOUN
flr-675	71	3	focus	focus	VERB
flr-675	71	4	on	on	ADP
flr-675	71	5	micro	micro	ADJ
flr-675	71	6	-	-	ADJ
flr-675	71	7	level	level	ADJ
flr-675	71	8	explanatory	explanatory	ADJ
flr-675	71	9	factors	factor	NOUN
flr-675	71	10	,	,	PUNCT
flr-675	71	11	because	because	SCONJ
flr-675	71	12	these	these	PRON
flr-675	71	13	occur	occur	VERB
flr-675	71	14	at	at	ADP
flr-675	71	15	the	the	DET
flr-675	71	16	individual	individual	ADJ
flr-675	71	17	level	level	NOUN
flr-675	71	18	.	.	PUNCT
flr-675	72	1	the	the	DET
flr-675	72	2	questions	question	NOUN
flr-675	72	3	we	we	PRON
flr-675	72	4	aim	aim	VERB
flr-675	72	5	to	to	PART
flr-675	72	6	answer	answer	VERB
flr-675	72	7	in	in	ADP
flr-675	72	8	these	these	DET
flr-675	72	9	examples	example	NOUN
flr-675	72	10	are	be	AUX
flr-675	72	11	:	:	PUNCT
flr-675	72	12	are	be	AUX
flr-675	72	13	there	there	PRON
flr-675	72	14	attainment	attainment	ADJ
flr-675	72	15	/	/	SYM
flr-675	72	16	continuation	continuation	NOUN
flr-675	72	17	gaps	gap	NOUN
flr-675	72	18	based	base	VERB
flr-675	72	19	on	on	ADP
flr-675	72	20	the	the	DET
flr-675	72	21	students	student	NOUN
flr-675	72	22	’	’	PART
flr-675	72	23	background	background	NOUN
flr-675	72	24	groups	group	NOUN
flr-675	72	25	,	,	PUNCT
flr-675	72	26	and	and	CCONJ
flr-675	72	27	can	can	AUX
flr-675	72	28	a	a	DET
flr-675	72	29	set	set	NOUN
flr-675	72	30	of	of	ADP
flr-675	72	31	micro	micro	ADJ
flr-675	72	32	-	-	NOUN
flr-675	72	33	level	level	ADJ
flr-675	72	34	factors	factor	NOUN
flr-675	72	35	predict	predict	VERB
flr-675	72	36	attainment	attainment	ADJ
flr-675	72	37	/	/	SYM
flr-675	72	38	continuation	continuation	NOUN
flr-675	72	39	over	over	ADP
flr-675	72	40	and	and	CCONJ
flr-675	72	41	above	above	ADP
flr-675	72	42	these	these	DET
flr-675	72	43	groups	group	NOUN
flr-675	72	44	?	?	PUNCT
flr-675	73	1	3.2	3.2	NUM
flr-675	73	2	group	group	NOUN
flr-675	73	3	-	-	PUNCT
flr-675	73	4	level	level	NOUN
flr-675	73	5	(	(	PUNCT
flr-675	73	6	aggregated	aggregate	VERB
flr-675	73	7	)	)	PUNCT
flr-675	73	8	data	datum	NOUN
flr-675	73	9	(	(	PUNCT
flr-675	73	10	tutorials	tutorial	NOUN
flr-675	73	11	3	3	NUM
flr-675	73	12	and	and	CCONJ
flr-675	73	13	4	4	NUM
flr-675	73	14	)	)	PUNCT
flr-675	73	15	we	we	PRON
flr-675	73	16	anticipate	anticipate	VERB
flr-675	73	17	that	that	SCONJ
flr-675	73	18	there	there	PRON
flr-675	73	19	may	may	AUX
flr-675	73	20	only	only	ADV
flr-675	73	21	be	be	AUX
flr-675	73	22	access	access	NOUN
flr-675	73	23	to	to	ADP
flr-675	73	24	aggregated	aggregate	VERB
flr-675	73	25	data	datum	NOUN
flr-675	73	26	for	for	ADP
flr-675	73	27	analysis	analysis	NOUN
flr-675	73	28	due	due	ADJ
flr-675	73	29	to	to	ADP
flr-675	73	30	individual	individual	ADJ
flr-675	73	31	-	-	PUNCT
flr-675	73	32	level	level	NOUN
flr-675	73	33	data	datum	NOUN
flr-675	73	34	being	be	AUX
flr-675	73	35	restricted	restrict	VERB
flr-675	73	36	to	to	ADP
flr-675	73	37	certain	certain	ADJ
flr-675	73	38	staff	staff	NOUN
flr-675	73	39	or	or	CCONJ
flr-675	73	40	because	because	SCONJ
flr-675	73	41	consent	consent	NOUN
flr-675	73	42	has	have	AUX
flr-675	73	43	not	not	PART
flr-675	73	44	been	be	AUX
flr-675	73	45	obtained	obtain	VERB
flr-675	73	46	to	to	PART
flr-675	73	47	connect	connect	VERB
flr-675	73	48	sensitive	sensitive	ADJ
flr-675	73	49	student	student	NOUN
flr-675	73	50	data	datum	NOUN
flr-675	73	51	to	to	ADP
flr-675	73	52	other	other	ADJ
flr-675	73	53	variables	variable	NOUN
flr-675	73	54	,	,	PUNCT
flr-675	73	55	so	so	SCONJ
flr-675	73	56	in	in	ADP
flr-675	73	57	tutorials	tutorial	NOUN
flr-675	73	58	3	3	NUM
flr-675	73	59	and	and	CCONJ
flr-675	73	60	4	4	NUM
flr-675	73	61	we	we	PRON
flr-675	73	62	cover	cover	VERB
flr-675	73	63	how	how	SCONJ
flr-675	73	64	meta	meta	ADJ
flr-675	73	65	-	-	PUNCT
flr-675	73	66	regression	regression	NOUN
flr-675	73	67	can	can	AUX
flr-675	73	68	be	be	AUX
flr-675	73	69	used	use	VERB
flr-675	73	70	to	to	PART
flr-675	73	71	analyse	analyse	VERB
flr-675	73	72	such	such	ADJ
flr-675	73	73	data	datum	NOUN
flr-675	73	74	.	.	PUNCT
flr-675	74	1	meta	meta	ADJ
flr-675	74	2	-	-	PUNCT
flr-675	74	3	analysis	analysis	NOUN
flr-675	74	4	was	be	AUX
flr-675	74	5	designed	design	VERB
flr-675	74	6	to	to	PART
flr-675	74	7	synthesise	synthesise	VERB
flr-675	74	8	an	an	DET
flr-675	74	9	average	average	ADJ
flr-675	74	10	effect	effect	NOUN
flr-675	74	11	size	size	NOUN
flr-675	74	12	and	and	CCONJ
flr-675	74	13	how	how	SCONJ
flr-675	74	14	much	much	ADJ
flr-675	74	15	it	it	PRON
flr-675	74	16	varies	vary	VERB
flr-675	74	17	across	across	ADP
flr-675	74	18	multiple	multiple	ADJ
flr-675	74	19	studies	study	NOUN
flr-675	74	20	(	(	PUNCT
flr-675	74	21	pigott	pigott	PROPN
flr-675	74	22	&	&	CCONJ
flr-675	74	23	polanin	polanin	NOUN
flr-675	74	24	,	,	PUNCT
flr-675	74	25	2020	2020	NUM
flr-675	74	26	)	)	PUNCT
flr-675	74	27	.	.	PUNCT
flr-675	75	1	the	the	DET
flr-675	75	2	glm	glm	PROPN
flr-675	75	3	can	can	AUX
flr-675	75	4	be	be	AUX
flr-675	75	5	extended	extend	VERB
flr-675	75	6	in	in	ADP
flr-675	75	7	meta	meta	ADJ
flr-675	75	8	-	-	PUNCT
flr-675	75	9	analysis	analysis	NOUN
flr-675	75	10	to	to	PART
flr-675	75	11	also	also	ADV
flr-675	75	12	model	model	VERB
flr-675	75	13	the	the	DET
flr-675	75	14	role	role	NOUN
flr-675	75	15	of	of	ADP
flr-675	75	16	study	study	NOUN
flr-675	75	17	-	-	PUNCT
flr-675	75	18	level	level	NOUN
flr-675	75	19	covariates	covariate	NOUN
flr-675	75	20	in	in	ADP
flr-675	75	21	explaining	explain	VERB
flr-675	75	22	effect	effect	NOUN
flr-675	75	23	sizes	size	NOUN
flr-675	75	24	(	(	PUNCT
flr-675	75	25	field	field	NOUN
flr-675	75	26	&	&	CCONJ
flr-675	75	27	gillett	gillett	PROPN
flr-675	75	28	,	,	PUNCT
flr-675	75	29	2010	2010	NUM
flr-675	75	30	;	;	PUNCT
flr-675	75	31	hedges	hedge	NOUN
flr-675	75	32	et	et	PROPN
flr-675	75	33	al	al	PROPN
flr-675	75	34	.	.	PROPN
flr-675	75	35	,	,	PUNCT
flr-675	75	36	2009	2009	NUM
flr-675	75	37	)	)	PUNCT
flr-675	75	38	.	.	PUNCT
flr-675	76	1	this	this	PRON
flr-675	76	2	is	be	AUX
flr-675	76	3	known	know	VERB
flr-675	76	4	as	as	ADP
flr-675	76	5	meta	meta	NOUN
flr-675	76	6	-	-	PUNCT
flr-675	76	7	regression	regression	NOUN
flr-675	76	8	.	.	PUNCT
flr-675	77	1	therefore	therefore	ADV
flr-675	77	2	,	,	PUNCT
flr-675	77	3	we	we	PRON
flr-675	77	4	propose	propose	VERB
flr-675	77	5	that	that	SCONJ
flr-675	77	6	differences	difference	NOUN
flr-675	77	7	in	in	ADP
flr-675	77	8	data	datum	NOUN
flr-675	77	9	averaged	average	VERB
flr-675	77	10	for	for	ADP
flr-675	77	11	particular	particular	ADJ
flr-675	77	12	student	student	NOUN
flr-675	77	13	groups	group	NOUN
flr-675	77	14	at	at	ADP
flr-675	77	15	a	a	DET
flr-675	77	16	module	module	NOUN
flr-675	77	17	-	-	PUNCT
flr-675	77	18	level	level	NOUN
flr-675	77	19	can	can	AUX
flr-675	77	20	be	be	AUX
flr-675	77	21	treated	treat	VERB
flr-675	77	22	as	as	ADP
flr-675	77	23	an	an	DET
flr-675	77	24	effect	effect	NOUN
flr-675	77	25	size	size	NOUN
flr-675	77	26	,	,	PUNCT
flr-675	77	27	with	with	ADP
flr-675	77	28	the	the	DET
flr-675	77	29	overall	overall	ADJ
flr-675	77	30	programmes	programme	NOUN
flr-675	77	31	functioning	function	VERB
flr-675	77	32	in	in	ADP
flr-675	77	33	the	the	DET
flr-675	77	34	same	same	ADJ
flr-675	77	35	way	way	NOUN
flr-675	77	36	that	that	PRON
flr-675	77	37	separate	separate	ADJ
flr-675	77	38	studies	study	NOUN
flr-675	77	39	do	do	VERB
flr-675	77	40	in	in	ADP
flr-675	77	41	meta	meta	ADJ
flr-675	77	42	-	-	PUNCT
flr-675	77	43	analysis	analysis	NOUN
flr-675	77	44	studies	study	NOUN
flr-675	77	45	.	.	PUNCT
flr-675	78	1	further	far	ADV
flr-675	78	2	,	,	PUNCT
flr-675	78	3	mesoand	mesoand	NOUN
flr-675	78	4	macro	macro	ADJ
flr-675	78	5	-	-	NOUN
flr-675	78	6	level	level	ADJ
flr-675	78	7	factors	factor	NOUN
flr-675	78	8	can	can	AUX
flr-675	78	9	be	be	AUX
flr-675	78	10	treated	treat	VERB
flr-675	78	11	as	as	ADP
flr-675	78	12	study	study	NOUN
flr-675	78	13	-	-	PUNCT
flr-675	78	14	level	level	NOUN
flr-675	78	15	covariates	covariate	NOUN
flr-675	78	16	because	because	SCONJ
flr-675	78	17	these	these	PRON
flr-675	78	18	occur	occur	VERB
flr-675	78	19	at	at	ADP
flr-675	78	20	a	a	DET
flr-675	78	21	module	module	NOUN
flr-675	78	22	,	,	PUNCT
flr-675	78	23	programme	programme	NOUN
flr-675	78	24	,	,	PUNCT
flr-675	78	25	institution	institution	NOUN
flr-675	78	26	and	and	CCONJ
flr-675	78	27	sector	sector	NOUN
flr-675	78	28	level	level	NOUN
flr-675	78	29	.	.	PUNCT
flr-675	79	1	by	by	ADP
flr-675	79	2	only	only	ADV
flr-675	79	3	drawing	draw	VERB
flr-675	79	4	on	on	ADP
flr-675	79	5	average	average	ADJ
flr-675	79	6	effect	effect	NOUN
flr-675	79	7	sizes	size	NOUN
flr-675	79	8	,	,	PUNCT
flr-675	79	9	this	this	DET
flr-675	79	10	approach	approach	NOUN
flr-675	79	11	reduces	reduce	VERB
flr-675	79	12	issues	issue	NOUN
flr-675	79	13	around	around	ADP
flr-675	79	14	data	datum	NOUN
flr-675	79	15	privacy	privacy	NOUN
flr-675	79	16	,	,	PUNCT
flr-675	79	17	because	because	SCONJ
flr-675	79	18	it	it	PRON
flr-675	79	19	only	only	ADV
flr-675	79	20	requires	require	VERB
flr-675	79	21	data	datum	NOUN
flr-675	79	22	aggregated	aggregate	VERB
flr-675	79	23	for	for	ADP
flr-675	79	24	a	a	DET
flr-675	79	25	whole	whole	ADJ
flr-675	79	26	group	group	NOUN
flr-675	79	27	rather	rather	ADV
flr-675	79	28	than	than	ADP
flr-675	79	29	for	for	ADP
flr-675	79	30	individual	individual	ADJ
flr-675	79	31	students	student	NOUN
flr-675	79	32	(	(	PUNCT
flr-675	79	33	pigott	pigott	PROPN
flr-675	79	34	&	&	CCONJ
flr-675	79	35	polanin	polanin	NOUN
flr-675	79	36	,	,	PUNCT
flr-675	79	37	2020	2020	NUM
flr-675	79	38	)	)	PUNCT
flr-675	79	39	.	.	PUNCT
flr-675	80	1	moreover	moreover	ADV
flr-675	80	2	,	,	PUNCT
flr-675	80	3	beyond	beyond	ADP
flr-675	80	4	these	these	DET
flr-675	80	5	privacy	privacy	NOUN
flr-675	80	6	issues	issue	NOUN
flr-675	80	7	,	,	PUNCT
flr-675	80	8	one	one	NUM
flr-675	80	9	of	of	ADP
flr-675	80	10	the	the	DET
flr-675	80	11	main	main	ADJ
flr-675	80	12	advantages	advantage	NOUN
flr-675	80	13	of	of	ADP
flr-675	80	14	using	use	VERB
flr-675	80	15	meta	meta	ADJ
flr-675	80	16	-	-	PUNCT
flr-675	80	17	regression	regression	NOUN
flr-675	80	18	in	in	ADP
flr-675	80	19	this	this	DET
flr-675	80	20	context	context	NOUN
flr-675	80	21	is	be	AUX
flr-675	80	22	that	that	SCONJ
flr-675	80	23	the	the	DET
flr-675	80	24	attainment	attainment	ADJ
flr-675	80	25	and	and	CCONJ
flr-675	80	26	continuation	continuation	NOUN
flr-675	80	27	gaps	gap	NOUN
flr-675	80	28	become	become	VERB
flr-675	80	29	the	the	DET
flr-675	80	30	direct	direct	ADJ
flr-675	80	31	focus	focus	NOUN
flr-675	80	32	of	of	ADP
flr-675	80	33	analyses	analysis	NOUN
flr-675	80	34	,	,	PUNCT
flr-675	80	35	so	so	SCONJ
flr-675	80	36	we	we	PRON
flr-675	80	37	believe	believe	VERB
flr-675	80	38	this	this	PRON
flr-675	80	39	is	be	AUX
flr-675	80	40	a	a	DET
flr-675	80	41	novel	novel	ADJ
flr-675	80	42	approach	approach	NOUN
flr-675	80	43	to	to	ADP
flr-675	80	44	analysing	analyse	VERB
flr-675	80	45	these	these	DET
flr-675	80	46	data	datum	NOUN
flr-675	80	47	.	.	PUNCT
flr-675	81	1	thus	thus	ADV
flr-675	81	2	,	,	PUNCT
flr-675	81	3	in	in	ADP
flr-675	81	4	tutorials	tutorial	NOUN
flr-675	81	5	3	3	NUM
flr-675	81	6	and	and	CCONJ
flr-675	81	7	4	4	NUM
flr-675	81	8	,	,	PUNCT
flr-675	81	9	we	we	PRON
flr-675	81	10	provide	provide	VERB
flr-675	81	11	guidance	guidance	NOUN
flr-675	81	12	about	about	ADP
flr-675	81	13	how	how	SCONJ
flr-675	81	14	to	to	PART
flr-675	81	15	perform	perform	VERB
flr-675	81	16	and	and	CCONJ
flr-675	81	17	interpret	interpret	VERB
flr-675	81	18	meta	meta	ADJ
flr-675	81	19	-	-	PUNCT
flr-675	81	20	regression	regression	NOUN
flr-675	81	21	analyses	analysis	NOUN
flr-675	81	22	of	of	ADP
flr-675	81	23	example	example	NOUN
flr-675	81	24	student	student	NOUN
flr-675	81	25	data	datum	NOUN
flr-675	81	26	aggregated	aggregate	VERB
flr-675	81	27	to	to	ADP
flr-675	81	28	a	a	DET
flr-675	81	29	group	group	NOUN
flr-675	81	30	level	level	NOUN
flr-675	81	31	.	.	PUNCT
flr-675	82	1	as	as	ADP
flr-675	82	2	a	a	DET
flr-675	82	3	result	result	NOUN
flr-675	82	4	,	,	PUNCT
flr-675	82	5	these	these	DET
flr-675	82	6	examples	example	NOUN
flr-675	82	7	focus	focus	VERB
flr-675	82	8	on	on	ADP
flr-675	82	9	meso	meso	NOUN
flr-675	82	10	-	-	PUNCT
flr-675	82	11	level	level	NOUN
flr-675	82	12	explanatory	explanatory	ADJ
flr-675	82	13	factors	factor	NOUN
flr-675	82	14	,	,	PUNCT
flr-675	82	15	although	although	SCONJ
flr-675	82	16	they	they	PRON
flr-675	82	17	could	could	AUX
flr-675	82	18	also	also	ADV
flr-675	82	19	theoretically	theoretically	ADV
flr-675	82	20	include	include	VERB
flr-675	82	21	macro	macro	ADJ
flr-675	82	22	-	-	NOUN
flr-675	82	23	level	level	NOUN
flr-675	82	24	factors	factor	NOUN
flr-675	82	25	if	if	SCONJ
flr-675	82	26	cross	cross	ADJ
flr-675	82	27	-	-	ADJ
flr-675	82	28	institution	institution	ADJ
flr-675	82	29	data	datum	NOUN
flr-675	82	30	are	be	AUX
flr-675	82	31	available	available	ADJ
flr-675	82	32	.	.	PUNCT
flr-675	83	1	since	since	SCONJ
flr-675	83	2	we	we	PRON
flr-675	83	3	are	be	AUX
flr-675	83	4	focusing	focus	VERB
flr-675	83	5	on	on	ADP
flr-675	83	6	explaining	explain	VERB
flr-675	83	7	the	the	DET
flr-675	83	8	gaps	gap	NOUN
flr-675	83	9	themselves	themselves	PRON
flr-675	83	10	,	,	PUNCT
flr-675	83	11	the	the	DET
flr-675	83	12	questions	question	NOUN
flr-675	83	13	we	we	PRON
flr-675	83	14	aim	aim	VERB
flr-675	83	15	to	to	PART
flr-675	83	16	answer	answer	VERB
flr-675	83	17	in	in	ADP
flr-675	83	18	these	these	DET
flr-675	83	19	examples	example	NOUN
flr-675	83	20	are	be	AUX
flr-675	83	21	:	:	PUNCT
flr-675	83	22	are	be	AUX
flr-675	83	23	there	there	PRON
flr-675	83	24	attainment	attainment	ADJ
flr-675	83	25	/	/	SYM
flr-675	83	26	continuation	continuation	NOUN
flr-675	83	27	gaps	gap	NOUN
flr-675	83	28	based	base	VERB
flr-675	83	29	on	on	ADP
flr-675	83	30	the	the	DET
flr-675	83	31	students	student	NOUN
flr-675	83	32	’	’	PART
flr-675	83	33	background	background	NOUN
flr-675	83	34	groups	group	NOUN
flr-675	83	35	,	,	PUNCT
flr-675	83	36	and	and	CCONJ
flr-675	83	37	can	can	AUX
flr-675	83	38	a	a	DET
flr-675	83	39	set	set	NOUN
flr-675	83	40	of	of	ADP
flr-675	83	41	meso	meso	NOUN
flr-675	83	42	-	-	PUNCT
flr-675	83	43	level	level	NOUN
flr-675	83	44	factors	factor	NOUN
flr-675	83	45	predict	predict	VERB
flr-675	83	46	these	these	DET
flr-675	83	47	gaps	gap	NOUN
flr-675	83	48	?	?	PUNCT
flr-675	84	1	3.3	3.3	NUM
flr-675	84	2	tutorial	tutorial	NOUN
flr-675	84	3	1	1	NUM
flr-675	84	4	:	:	PUNCT
flr-675	84	5	illustrative	illustrative	ADJ
flr-675	84	6	example	example	NOUN
flr-675	84	7	of	of	ADP
flr-675	84	8	analysing	analyse	VERB
flr-675	84	9	attainment	attainment	ADJ
flr-675	84	10	gap	gap	NOUN
flr-675	84	11	data	datum	NOUN
flr-675	84	12	measured	measure	VERB
flr-675	84	13	at	at	ADP
flr-675	84	14	an	an	DET
flr-675	84	15	individual	individual	ADJ
flr-675	84	16	level	level	NOUN
flr-675	84	17	tutorial	tutorial	NOUN
flr-675	84	18	1	1	NUM
flr-675	84	19	presents	present	VERB
flr-675	84	20	an	an	DET
flr-675	84	21	analysis	analysis	NOUN
flr-675	84	22	of	of	ADP
flr-675	84	23	the	the	DET
flr-675	84	24	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	84	25	spss	spss	PROPN
flr-675	84	26	data	datum	NOUN
flr-675	84	27	set	set	NOUN
flr-675	84	28	,	,	PUNCT
flr-675	84	29	which	which	PRON
flr-675	84	30	was	be	AUX
flr-675	84	31	designed	design	VERB
flr-675	84	32	to	to	PART
flr-675	84	33	closely	closely	ADV
flr-675	84	34	approximate	approximate	VERB
flr-675	84	35	what	what	PRON
flr-675	84	36	real	real	ADJ
flr-675	84	37	student	student	NOUN
flr-675	84	38	data	datum	NOUN
flr-675	84	39	might	might	AUX
flr-675	84	40	look	look	VERB
flr-675	84	41	like	like	ADP
flr-675	84	42	if	if	SCONJ
flr-675	84	43	recorded	record	VERB
flr-675	84	44	at	at	ADP
flr-675	84	45	an	an	DET
flr-675	84	46	individual	individual	ADJ
flr-675	84	47	level	level	NOUN
flr-675	84	48	.	.	PUNCT
flr-675	85	1	this	this	DET
flr-675	85	2	hypothetical	hypothetical	ADJ
flr-675	85	3	data	datum	NOUN
flr-675	85	4	set	set	VERB
flr-675	85	5	simulates	simulate	VERB
flr-675	85	6	a	a	DET
flr-675	85	7	range	range	NOUN
flr-675	85	8	of	of	ADP
flr-675	85	9	variables	variable	NOUN
flr-675	85	10	for	for	ADP
flr-675	85	11	a	a	DET
flr-675	85	12	sample	sample	NOUN
flr-675	85	13	of	of	ADP
flr-675	85	14	students	student	NOUN
flr-675	85	15	(	(	PUNCT
flr-675	85	16	n	n	NOUN
flr-675	85	17	=	=	SYM
flr-675	85	18	319	319	NUM
flr-675	85	19	)	)	PUNCT
flr-675	85	20	at	at	ADP
flr-675	85	21	the	the	DET
flr-675	85	22	end	end	NOUN
flr-675	85	23	of	of	ADP
flr-675	85	24	their	their	PRON
flr-675	85	25	first	first	ADJ
flr-675	85	26	year	year	NOUN
flr-675	85	27	of	of	ADP
flr-675	85	28	university	university	NOUN
flr-675	85	29	.	.	PUNCT
flr-675	86	1	the	the	DET
flr-675	86	2	variables	variable	NOUN
flr-675	86	3	are	be	AUX
flr-675	86	4	detailed	detail	VERB
flr-675	86	5	in	in	ADP
flr-675	86	6	table	table	NOUN
flr-675	86	7	1	1	NUM
flr-675	86	8	and	and	CCONJ
flr-675	86	9	include	include	VERB
flr-675	86	10	:	:	PUNCT
flr-675	86	11	students	student	NOUN
flr-675	86	12	’	'	PUNCT
flr-675	86	13	average	average	ADJ
flr-675	86	14	grades	grade	NOUN
flr-675	86	15	(	(	PUNCT
flr-675	86	16	the	the	DET
flr-675	86	17	outcome	outcome	NOUN
flr-675	86	18	variable	variable	NOUN
flr-675	86	19	)	)	PUNCT
flr-675	86	20	;	;	PUNCT
flr-675	86	21	a	a	DET
flr-675	86	22	student	student	NOUN
flr-675	86	23	background	background	NOUN
flr-675	86	24	group	group	NOUN
flr-675	86	25	variable	variable	NOUN
flr-675	86	26	;	;	PUNCT
flr-675	86	27	and	and	CCONJ
flr-675	86	28	a	a	DET
flr-675	86	29	set	set	NOUN
flr-675	86	30	of	of	ADP
flr-675	86	31	hypothetical	hypothetical	ADJ
flr-675	86	32	micro	micro	NOUN
flr-675	86	33	-	-	NOUN
flr-675	86	34	level	level	ADJ
flr-675	86	35	variables	variable	NOUN
flr-675	86	36	that	that	PRON
flr-675	86	37	may	may	AUX
flr-675	86	38	account	account	VERB
flr-675	86	39	for	for	ADP
flr-675	86	40	differential	differential	ADJ
flr-675	86	41	student	student	NOUN
flr-675	86	42	outcomes	outcome	NOUN
flr-675	86	43	(	(	PUNCT
flr-675	86	44	as	as	SCONJ
flr-675	86	45	influenced	influence	VERB
flr-675	86	46	by	by	ADP
flr-675	86	47	theory	theory	NOUN
flr-675	86	48	)	)	PUNCT
flr-675	86	49	to	to	PART
flr-675	86	50	be	be	AUX
flr-675	86	51	used	use	VERB
flr-675	86	52	as	as	ADP
flr-675	86	53	covariates	covariate	NOUN
flr-675	86	54	.	.	PUNCT
flr-675	86	55	  	  	SPACE
flr-675	87	1	table	table	NOUN
flr-675	87	2	1	1	NUM
flr-675	87	3	variables	variable	NOUN
flr-675	87	4	included	include	VERB
flr-675	87	5	in	in	ADP
flr-675	87	6	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	87	7	spss	spss	NOUN
flr-675	87	8	data	datum	NOUN
flr-675	87	9	set	set	VERB
flr-675	87	10	the	the	DET
flr-675	87	11	question	question	NOUN
flr-675	87	12	we	we	PRON
flr-675	87	13	aim	aim	VERB
flr-675	87	14	to	to	PART
flr-675	87	15	answer	answer	VERB
flr-675	87	16	in	in	ADP
flr-675	87	17	this	this	DET
flr-675	87	18	tutorial	tutorial	NOUN
flr-675	87	19	is	be	AUX
flr-675	87	20	:	:	PUNCT
flr-675	87	21	is	be	AUX
flr-675	87	22	there	there	PRON
flr-675	87	23	an	an	DET
flr-675	87	24	attainment	attainment	ADJ
flr-675	87	25	gap	gap	NOUN
flr-675	87	26	based	base	VERB
flr-675	87	27	on	on	ADP
flr-675	87	28	the	the	DET
flr-675	87	29	students	student	NOUN
flr-675	87	30	’	’	PART
flr-675	87	31	background	background	NOUN
flr-675	87	32	groups	group	NOUN
flr-675	87	33	,	,	PUNCT
flr-675	87	34	and	and	CCONJ
flr-675	87	35	can	can	AUX
flr-675	87	36	a	a	DET
flr-675	87	37	set	set	NOUN
flr-675	87	38	of	of	ADP
flr-675	87	39	micro	micro	ADJ
flr-675	87	40	-	-	NOUN
flr-675	87	41	level	level	ADJ
flr-675	87	42	factors	factor	NOUN
flr-675	87	43	predict	predict	VERB
flr-675	87	44	attainment	attainment	ADJ
flr-675	87	45	over	over	ADP
flr-675	87	46	and	and	CCONJ
flr-675	87	47	above	above	ADP
flr-675	87	48	these	these	DET
flr-675	87	49	groups	group	NOUN
flr-675	87	50	?	?	PUNCT
flr-675	88	1	for	for	ADP
flr-675	88	2	tutorial	tutorial	NOUN
flr-675	88	3	1	1	NUM
flr-675	88	4	,	,	PUNCT
flr-675	88	5	we	we	PRON
flr-675	88	6	performed	perform	VERB
flr-675	88	7	a	a	DET
flr-675	88	8	linear	linear	ADJ
flr-675	88	9	regression	regression	NOUN
flr-675	88	10	analysis	analysis	NOUN
flr-675	88	11	,	,	PUNCT
flr-675	88	12	based	base	VERB
flr-675	88	13	on	on	ADP
flr-675	88	14	the	the	DET
flr-675	88	15	glm	glm	NOUN
flr-675	88	16	,	,	PUNCT
flr-675	88	17	to	to	PART
flr-675	88	18	determine	determine	VERB
flr-675	88	19	the	the	DET
flr-675	88	20	relative	relative	ADJ
flr-675	88	21	contribution	contribution	NOUN
flr-675	88	22	that	that	PRON
flr-675	88	23	each	each	DET
flr-675	88	24	variable	variable	NOUN
flr-675	88	25	might	might	AUX
flr-675	88	26	make	make	VERB
flr-675	88	27	to	to	ADP
flr-675	88	28	explaining	explain	VERB
flr-675	88	29	variance	variance	NOUN
flr-675	88	30	in	in	ADP
flr-675	88	31	students	student	NOUN
flr-675	88	32	’	’	PART
flr-675	88	33	grades	grade	NOUN
flr-675	88	34	.	.	PUNCT
flr-675	89	1	linear	linear	ADJ
flr-675	89	2	regression	regression	NOUN
flr-675	89	3	analysis	analysis	NOUN
flr-675	89	4	functions	function	NOUN
flr-675	89	5	by	by	ADP
flr-675	89	6	modelling	model	VERB
flr-675	89	7	the	the	DET
flr-675	89	8	relationships	relationship	NOUN
flr-675	89	9	between	between	ADP
flr-675	89	10	the	the	DET
flr-675	89	11	variance	variance	NOUN
flr-675	89	12	of	of	ADP
flr-675	89	13	an	an	DET
flr-675	89	14	outcome	outcome	NOUN
flr-675	89	15	variable	variable	NOUN
flr-675	89	16	(	(	PUNCT
flr-675	89	17	in	in	ADP
flr-675	89	18	this	this	DET
flr-675	89	19	case	case	NOUN
flr-675	89	20	,	,	PUNCT
flr-675	89	21	average	average	ADJ
flr-675	89	22	grades	grade	NOUN
flr-675	89	23	)	)	PUNCT
flr-675	89	24	and	and	CCONJ
flr-675	89	25	one	one	NUM
flr-675	89	26	or	or	CCONJ
flr-675	89	27	more	more	ADJ
flr-675	89	28	covariates	covariate	NOUN
flr-675	89	29	.	.	PUNCT
flr-675	90	1	multiple	multiple	ADJ
flr-675	90	2	models	model	NOUN
flr-675	90	3	can	can	AUX
flr-675	90	4	be	be	AUX
flr-675	90	5	compared	compare	VERB
flr-675	90	6	in	in	ADP
flr-675	90	7	terms	term	NOUN
flr-675	90	8	of	of	ADP
flr-675	90	9	their	their	PRON
flr-675	90	10	ability	ability	NOUN
flr-675	90	11	to	to	PART
flr-675	90	12	predict	predict	VERB
flr-675	90	13	variance	variance	NOUN
flr-675	90	14	in	in	ADP
flr-675	90	15	the	the	DET
flr-675	90	16	outcome	outcome	NOUN
flr-675	90	17	variable	variable	NOUN
flr-675	90	18	.	.	PUNCT
flr-675	91	1	for	for	ADP
flr-675	91	2	our	our	PRON
flr-675	91	3	first	first	ADJ
flr-675	91	4	model	model	NOUN
flr-675	91	5	,	,	PUNCT
flr-675	91	6	we	we	PRON
flr-675	91	7	entered	enter	VERB
flr-675	91	8	the	the	DET
flr-675	91	9	student	student	NOUN
flr-675	91	10	background	background	NOUN
flr-675	91	11	group	group	NOUN
flr-675	91	12	variable	variable	NOUN
flr-675	91	13	on	on	ADP
flr-675	91	14	its	its	PRON
flr-675	91	15	own	own	ADJ
flr-675	91	16	to	to	PART
flr-675	91	17	initially	initially	ADV
flr-675	91	18	determine	determine	VERB
flr-675	91	19	whether	whether	SCONJ
flr-675	91	20	there	there	PRON
flr-675	91	21	were	be	VERB
flr-675	91	22	group	group	NOUN
flr-675	91	23	differences	difference	NOUN
flr-675	91	24	in	in	ADP
flr-675	91	25	grades	grade	NOUN
flr-675	91	26	(	(	PUNCT
flr-675	91	27	model	model	NOUN
flr-675	91	28	1	1	NUM
flr-675	91	29	)	)	PUNCT
flr-675	91	30	.	.	PUNCT
flr-675	92	1	we	we	PRON
flr-675	92	2	then	then	ADV
flr-675	92	3	entered	enter	VERB
flr-675	92	4	prior	prior	ADJ
flr-675	92	5	attainment	attainment	ADJ
flr-675	92	6	,	,	PUNCT
flr-675	92	7	entry	entry	NOUN
flr-675	92	8	qualification	qualification	NOUN
flr-675	92	9	,	,	PUNCT
flr-675	92	10	and	and	CCONJ
flr-675	92	11	the	the	DET
flr-675	92	12	measure	measure	NOUN
flr-675	92	13	of	of	ADP
flr-675	92	14	belonging	belong	VERB
flr-675	92	15	into	into	ADP
flr-675	92	16	the	the	DET
flr-675	92	17	next	next	ADJ
flr-675	92	18	model	model	NOUN
flr-675	92	19	(	(	PUNCT
flr-675	92	20	model	model	NOUN
flr-675	92	21	2	2	NUM
flr-675	92	22	)	)	PUNCT
flr-675	92	23	.	.	PUNCT
flr-675	93	1	covariates	covariates	PROPN
flr-675	93	2	could	could	AUX
flr-675	93	3	also	also	ADV
flr-675	93	4	have	have	AUX
flr-675	93	5	been	be	AUX
flr-675	93	6	entered	enter	VERB
flr-675	93	7	into	into	ADP
flr-675	93	8	the	the	DET
flr-675	93	9	analysis	analysis	NOUN
flr-675	93	10	at	at	ADP
flr-675	93	11	separate	separate	ADJ
flr-675	93	12	steps	step	NOUN
flr-675	93	13	,	,	PUNCT
flr-675	93	14	so	so	SCONJ
flr-675	93	15	similar	similar	ADJ
flr-675	93	16	variables	variable	NOUN
flr-675	93	17	could	could	AUX
flr-675	93	18	have	have	AUX
flr-675	93	19	been	be	AUX
flr-675	93	20	grouped	group	VERB
flr-675	93	21	together	together	ADV
flr-675	93	22	;	;	PUNCT
flr-675	93	23	this	this	PRON
flr-675	93	24	is	be	AUX
flr-675	93	25	a	a	DET
flr-675	93	26	useful	useful	ADJ
flr-675	93	27	way	way	NOUN
flr-675	93	28	to	to	PART
flr-675	93	29	compare	compare	VERB
flr-675	93	30	models	model	NOUN
flr-675	93	31	.	.	PUNCT
flr-675	94	1	the	the	DET
flr-675	94	2	individual_level_attainment.sps	individual_level_attainment.sps	PROPN
flr-675	94	3	spss	spss	NOUN
flr-675	94	4	syntax	syntax	NOUN
flr-675	94	5	file	file	NOUN
flr-675	94	6	includes	include	VERB
flr-675	94	7	the	the	DET
flr-675	94	8	code	code	NOUN
flr-675	94	9	for	for	ADP
flr-675	94	10	all	all	DET
flr-675	94	11	stages	stage	NOUN
flr-675	94	12	of	of	ADP
flr-675	94	13	this	this	DET
flr-675	94	14	analysis	analysis	NOUN
flr-675	94	15	.	.	PUNCT
flr-675	95	1	in	in	ADP
flr-675	95	2	order	order	NOUN
flr-675	95	3	to	to	PART
flr-675	95	4	assess	assess	VERB
flr-675	95	5	the	the	DET
flr-675	95	6	model	model	NOUN
flr-675	95	7	fit	fit	NOUN
flr-675	95	8	,	,	PUNCT
flr-675	95	9	we	we	PRON
flr-675	95	10	need	need	VERB
flr-675	95	11	to	to	PART
flr-675	95	12	check	check	VERB
flr-675	95	13	for	for	ADP
flr-675	95	14	any	any	DET
flr-675	95	15	sources	source	NOUN
flr-675	95	16	of	of	ADP
flr-675	95	17	bias	bias	NOUN
flr-675	95	18	in	in	ADP
flr-675	95	19	the	the	DET
flr-675	95	20	data	datum	NOUN
flr-675	95	21	(	(	PUNCT
flr-675	95	22	i.e.	i.e.	X
flr-675	95	23	outliers	outlier	NOUN
flr-675	95	24	and	and	CCONJ
flr-675	95	25	influential	influential	ADJ
flr-675	95	26	cases	case	NOUN
flr-675	95	27	)	)	PUNCT
flr-675	95	28	.	.	PUNCT
flr-675	96	1	if	if	SCONJ
flr-675	96	2	we	we	PRON
flr-675	96	3	want	want	VERB
flr-675	96	4	to	to	PART
flr-675	96	5	generalise	generalise	VERB
flr-675	96	6	the	the	DET
flr-675	96	7	model	model	NOUN
flr-675	96	8	beyond	beyond	ADP
flr-675	96	9	the	the	DET
flr-675	96	10	sample	sample	NOUN
flr-675	96	11	,	,	PUNCT
flr-675	96	12	we	we	PRON
flr-675	96	13	also	also	ADV
flr-675	96	14	need	need	VERB
flr-675	96	15	to	to	PART
flr-675	96	16	check	check	VERB
flr-675	96	17	whether	whether	SCONJ
flr-675	96	18	certain	certain	ADJ
flr-675	96	19	assumptions	assumption	NOUN
flr-675	96	20	have	have	AUX
flr-675	96	21	been	be	AUX
flr-675	96	22	met	meet	VERB
flr-675	96	23	.	.	PUNCT
flr-675	97	1	diagnostic	diagnostic	ADJ
flr-675	97	2	tests	test	NOUN
flr-675	97	3	for	for	ADP
flr-675	97	4	checking	check	VERB
flr-675	97	5	sources	source	NOUN
flr-675	97	6	of	of	ADP
flr-675	97	7	bias	bias	NOUN
flr-675	97	8	and	and	CCONJ
flr-675	97	9	whether	whether	SCONJ
flr-675	97	10	assumptions	assumption	NOUN
flr-675	97	11	have	have	AUX
flr-675	97	12	been	be	AUX
flr-675	97	13	met	meet	VERB
flr-675	97	14	have	have	AUX
flr-675	97	15	been	be	AUX
flr-675	97	16	included	include	VERB
flr-675	97	17	in	in	ADP
flr-675	97	18	the	the	DET
flr-675	97	19	spss	spss	PROPN
flr-675	97	20	syntax	syntax	NOUN
flr-675	97	21	,	,	PUNCT
flr-675	97	22	but	but	CCONJ
flr-675	97	23	they	they	PRON
flr-675	97	24	are	be	AUX
flr-675	97	25	not	not	PART
flr-675	97	26	discussed	discuss	VERB
flr-675	97	27	further	far	ADV
flr-675	97	28	here	here	ADV
flr-675	97	29	.	.	PUNCT
flr-675	98	1	figure	figure	NOUN
flr-675	98	2	2	2	NUM
flr-675	98	3	displays	display	VERB
flr-675	98	4	the	the	DET
flr-675	98	5	model	model	NOUN
flr-675	98	6	summary	summary	NOUN
flr-675	98	7	table	table	NOUN
flr-675	98	8	from	from	ADP
flr-675	98	9	the	the	DET
flr-675	98	10	spss	spss	PROPN
flr-675	98	11	output	output	NOUN
flr-675	98	12	.	.	PUNCT
flr-675	99	1	figure	figure	NOUN
flr-675	99	2	2	2	NUM
flr-675	99	3	.	.	PUNCT
flr-675	99	4	spss	spss	ADJ
flr-675	99	5	output	output	NOUN
flr-675	99	6	for	for	ADP
flr-675	99	7	the	the	DET
flr-675	99	8	model	model	NOUN
flr-675	99	9	summary	summary	NOUN
flr-675	99	10	table	table	NOUN
flr-675	99	11	from	from	ADP
flr-675	99	12	linear	linear	ADJ
flr-675	99	13	regression	regression	NOUN
flr-675	99	14	analysis	analysis	NOUN
flr-675	99	15	of	of	ADP
flr-675	99	16	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	99	17	data	datum	NOUN
flr-675	99	18	set	set	VERB
flr-675	99	19	using	use	VERB
flr-675	99	20	individual_level_attainment.sps	individual_level_attainment.sps	PART
flr-675	99	21	syntax	syntax	NOUN
flr-675	99	22	in	in	ADP
flr-675	99	23	the	the	DET
flr-675	99	24	first	first	ADJ
flr-675	99	25	row	row	NOUN
flr-675	99	26	of	of	ADP
flr-675	99	27	the	the	DET
flr-675	99	28	table	table	NOUN
flr-675	99	29	in	in	ADP
flr-675	99	30	figure	figure	NOUN
flr-675	99	31	2	2	NUM
flr-675	99	32	,	,	PUNCT
flr-675	99	33	we	we	PRON
flr-675	99	34	can	can	AUX
flr-675	99	35	see	see	VERB
flr-675	99	36	the	the	DET
flr-675	99	37	proportion	proportion	NOUN
flr-675	99	38	of	of	ADP
flr-675	99	39	variance	variance	NOUN
flr-675	99	40	in	in	ADP
flr-675	99	41	grades	grade	NOUN
flr-675	99	42	(	(	PUNCT
flr-675	99	43	the	the	DET
flr-675	99	44	outcome	outcome	NOUN
flr-675	99	45	)	)	PUNCT
flr-675	99	46	that	that	PRON
flr-675	99	47	is	be	AUX
flr-675	99	48	predicted	predict	VERB
flr-675	99	49	by	by	ADP
flr-675	99	50	model	model	NOUN
flr-675	99	51	1	1	NUM
flr-675	99	52	,	,	PUNCT
flr-675	99	53	which	which	PRON
flr-675	99	54	only	only	ADV
flr-675	99	55	includes	include	VERB
flr-675	99	56	the	the	DET
flr-675	99	57	student	student	NOUN
flr-675	99	58	background	background	NOUN
flr-675	99	59	group	group	NOUN
flr-675	99	60	variable	variable	NOUN
flr-675	99	61	.	.	PUNCT
flr-675	100	1	if	if	SCONJ
flr-675	100	2	we	we	PRON
flr-675	100	3	multiply	multiply	VERB
flr-675	100	4	the	the	DET
flr-675	100	5	adjusted	adjust	VERB
flr-675	100	6	r	r	NOUN
flr-675	100	7	square	square	ADJ
flr-675	100	8	value	value	NOUN
flr-675	100	9	(	(	PUNCT
flr-675	100	10	the	the	DET
flr-675	100	11	proportion	proportion	NOUN
flr-675	100	12	of	of	ADP
flr-675	100	13	variance	variance	NOUN
flr-675	100	14	explained	explain	VERB
flr-675	100	15	in	in	ADP
flr-675	100	16	the	the	DET
flr-675	100	17	outcome	outcome	NOUN
flr-675	100	18	by	by	ADP
flr-675	100	19	the	the	DET
flr-675	100	20	model	model	NOUN
flr-675	100	21	,	,	PUNCT
flr-675	100	22	adjusted	adjust	VERB
flr-675	100	23	to	to	PART
flr-675	100	24	take	take	VERB
flr-675	100	25	into	into	ADP
flr-675	100	26	account	account	NOUN
flr-675	100	27	the	the	DET
flr-675	100	28	number	number	NOUN
flr-675	100	29	of	of	ADP
flr-675	100	30	covariates	covariate	NOUN
flr-675	100	31	)	)	PUNCT
flr-675	100	32	by	by	ADP
flr-675	100	33	100	100	NUM
flr-675	100	34	,	,	PUNCT
flr-675	100	35	this	this	PRON
flr-675	100	36	indicates	indicate	VERB
flr-675	100	37	that	that	SCONJ
flr-675	100	38	the	the	DET
flr-675	100	39	group	group	NOUN
flr-675	100	40	variable	variable	NOUN
flr-675	100	41	alone	alone	ADV
flr-675	100	42	explains	explain	VERB
flr-675	100	43	9.8	9.8	NUM
flr-675	100	44	%	%	NOUN
flr-675	100	45	of	of	ADP
flr-675	100	46	the	the	DET
flr-675	100	47	observed	observe	VERB
flr-675	100	48	variation	variation	NOUN
flr-675	100	49	in	in	ADP
flr-675	100	50	grades	grade	NOUN
flr-675	100	51	.	.	PUNCT
flr-675	101	1	the	the	DET
flr-675	101	2	change	change	NOUN
flr-675	101	3	statistics	statistic	NOUN
flr-675	101	4	section	section	NOUN
flr-675	101	5	of	of	ADP
flr-675	101	6	the	the	DET
flr-675	101	7	table	table	NOUN
flr-675	101	8	shows	show	VERB
flr-675	101	9	that	that	SCONJ
flr-675	101	10	this	this	DET
flr-675	101	11	model	model	NOUN
flr-675	101	12	is	be	AUX
flr-675	101	13	statistically	statistically	ADV
flr-675	101	14	significant	significant	ADJ
flr-675	101	15	(	(	PUNCT
flr-675	101	16	p	p	X
flr-675	101	17	<	<	X
flr-675	101	18	.001	.001	NUM
flr-675	101	19	)	)	PUNCT
flr-675	101	20	.	.	PUNCT
flr-675	102	1	the	the	DET
flr-675	102	2	second	second	ADJ
flr-675	102	3	row	row	NOUN
flr-675	102	4	shows	show	VERB
flr-675	102	5	the	the	DET
flr-675	102	6	model	model	NOUN
flr-675	102	7	with	with	ADP
flr-675	102	8	entry	entry	NOUN
flr-675	102	9	qualification	qualification	NOUN
flr-675	102	10	,	,	PUNCT
flr-675	102	11	prior	prior	ADJ
flr-675	102	12	attainment	attainment	NOUN
flr-675	102	13	,	,	PUNCT
flr-675	102	14	and	and	CCONJ
flr-675	102	15	belonging	belong	VERB
flr-675	102	16	covariates	covariate	NOUN
flr-675	102	17	added	add	VERB
flr-675	102	18	(	(	PUNCT
flr-675	102	19	model	model	NOUN
flr-675	102	20	2	2	NUM
flr-675	102	21	)	)	PUNCT
flr-675	102	22	.	.	PUNCT
flr-675	103	1	model	model	NOUN
flr-675	103	2	2	2	NUM
flr-675	103	3	explains	explain	VERB
flr-675	103	4	42.5	42.5	NUM
flr-675	103	5	%	%	NOUN
flr-675	103	6	of	of	ADP
flr-675	103	7	the	the	DET
flr-675	103	8	variation	variation	NOUN
flr-675	103	9	in	in	ADP
flr-675	103	10	grades	grade	NOUN
flr-675	103	11	and	and	CCONJ
flr-675	103	12	the	the	DET
flr-675	103	13	change	change	NOUN
flr-675	103	14	in	in	ADP
flr-675	103	15	this	this	DET
flr-675	103	16	model	model	NOUN
flr-675	103	17	from	from	ADP
flr-675	103	18	model	model	NOUN
flr-675	103	19	1	1	NUM
flr-675	103	20	is	be	AUX
flr-675	103	21	significant	significant	ADJ
flr-675	103	22	(	(	PUNCT
flr-675	103	23	f	f	NOUN
flr-675	103	24	change	change	NOUN
flr-675	103	25	=	=	PUNCT
flr-675	103	26	59.14	59.14	NUM
flr-675	103	27	,	,	PUNCT
flr-675	103	28	p	p	X
flr-675	103	29	<	<	X
flr-675	103	30	.001	.001	NUM
flr-675	103	31	)	)	PUNCT
flr-675	103	32	.	.	PUNCT
flr-675	104	1	the	the	DET
flr-675	104	2	anova	anova	PROPN
flr-675	104	3	table	table	NOUN
flr-675	104	4	from	from	ADP
flr-675	104	5	the	the	DET
flr-675	104	6	spss	spss	PROPN
flr-675	104	7	output	output	NOUN
flr-675	104	8	also	also	ADV
flr-675	104	9	explains	explain	VERB
flr-675	104	10	whether	whether	SCONJ
flr-675	104	11	each	each	DET
flr-675	104	12	model	model	NOUN
flr-675	104	13	is	be	AUX
flr-675	104	14	a	a	DET
flr-675	104	15	significant	significant	ADJ
flr-675	104	16	fit	fit	NOUN
flr-675	104	17	.	.	PUNCT
flr-675	105	1	we	we	PRON
flr-675	105	2	now	now	ADV
flr-675	105	3	look	look	VERB
flr-675	105	4	at	at	ADP
flr-675	105	5	the	the	DET
flr-675	105	6	contribution	contribution	NOUN
flr-675	105	7	each	each	DET
flr-675	105	8	individual	individual	ADJ
flr-675	105	9	covariate	covariate	NOUN
flr-675	105	10	made	make	VERB
flr-675	105	11	to	to	ADP
flr-675	105	12	each	each	DET
flr-675	105	13	model	model	NOUN
flr-675	105	14	by	by	ADP
flr-675	105	15	examining	examine	VERB
flr-675	105	16	the	the	DET
flr-675	105	17	coefficients	coefficient	NOUN
flr-675	105	18	table	table	NOUN
flr-675	105	19	from	from	ADP
flr-675	105	20	the	the	DET
flr-675	105	21	spss	spss	PROPN
flr-675	105	22	output	output	NOUN
flr-675	105	23	(	(	PUNCT
flr-675	105	24	figure	figure	NOUN
flr-675	105	25	3	3	NUM
flr-675	105	26	)	)	PUNCT
flr-675	105	27	.	.	PUNCT
flr-675	106	1	figure	figure	VERB
flr-675	106	2	3	3	NUM
flr-675	106	3	.	.	PUNCT
flr-675	106	4	spss	spss	ADJ
flr-675	106	5	output	output	NOUN
flr-675	106	6	for	for	ADP
flr-675	106	7	the	the	DET
flr-675	106	8	coefficients	coefficient	NOUN
flr-675	106	9	table	table	NOUN
flr-675	106	10	from	from	ADP
flr-675	106	11	linear	linear	ADJ
flr-675	106	12	regression	regression	NOUN
flr-675	106	13	analysis	analysis	NOUN
flr-675	106	14	of	of	ADP
flr-675	106	15	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	106	16	data	datum	NOUN
flr-675	106	17	set	set	VERB
flr-675	106	18	using	use	VERB
flr-675	106	19	individual_level_attainment.sps	individual_level_attainment.sps	AUX
flr-675	106	20	syntax	syntax	VERB
flr-675	106	21	the	the	DET
flr-675	106	22	table	table	NOUN
flr-675	106	23	in	in	ADP
flr-675	106	24	figure	figure	NOUN
flr-675	106	25	3	3	NUM
flr-675	106	26	shows	show	VERB
flr-675	106	27	the	the	DET
flr-675	106	28	individual	individual	ADJ
flr-675	106	29	contribution	contribution	NOUN
flr-675	106	30	of	of	ADP
flr-675	106	31	each	each	DET
flr-675	106	32	covariate	covariate	NOUN
flr-675	106	33	to	to	ADP
flr-675	106	34	each	each	DET
flr-675	106	35	model	model	NOUN
flr-675	106	36	in	in	ADP
flr-675	106	37	the	the	DET
flr-675	106	38	analysis	analysis	NOUN
flr-675	106	39	.	.	PUNCT
flr-675	107	1	all	all	DET
flr-675	107	2	b	b	NOUN
flr-675	107	3	-	-	PUNCT
flr-675	107	4	values	value	NOUN
flr-675	107	5	(	(	PUNCT
flr-675	107	6	labelled	label	VERB
flr-675	107	7	unstandardized	unstandardized	ADJ
flr-675	107	8	coefficients	coefficient	NOUN
flr-675	107	9	b	b	NOUN
flr-675	107	10	in	in	ADP
flr-675	107	11	the	the	DET
flr-675	107	12	spss	spss	PROPN
flr-675	107	13	output	output	NOUN
flr-675	107	14	)	)	PUNCT
flr-675	107	15	are	be	AUX
flr-675	107	16	positive	positive	ADJ
flr-675	107	17	and	and	CCONJ
flr-675	107	18	significant	significant	ADJ
flr-675	107	19	(	(	PUNCT
flr-675	107	20	p	p	X
flr-675	107	21	<	<	X
flr-675	107	22	.001	.001	NUM
flr-675	107	23	)	)	PUNCT
flr-675	107	24	,	,	PUNCT
flr-675	107	25	meaning	mean	VERB
flr-675	107	26	that	that	SCONJ
flr-675	107	27	higher	high	ADJ
flr-675	107	28	scores	score	NOUN
flr-675	107	29	on	on	ADP
flr-675	107	30	all	all	DET
flr-675	107	31	variables	variable	NOUN
flr-675	107	32	predict	predict	VERB
flr-675	107	33	higher	high	ADJ
flr-675	107	34	grades	grade	NOUN
flr-675	107	35	.	.	PUNCT
flr-675	108	1	the	the	DET
flr-675	108	2	b	b	NOUN
flr-675	108	3	-	-	PUNCT
flr-675	108	4	values	value	NOUN
flr-675	108	5	can	can	AUX
flr-675	108	6	also	also	ADV
flr-675	108	7	be	be	AUX
flr-675	108	8	used	use	VERB
flr-675	108	9	to	to	PART
flr-675	108	10	understand	understand	VERB
flr-675	108	11	how	how	SCONJ
flr-675	108	12	much	much	ADJ
flr-675	108	13	change	change	NOUN
flr-675	108	14	we	we	PRON
flr-675	108	15	would	would	AUX
flr-675	108	16	expect	expect	VERB
flr-675	108	17	in	in	ADP
flr-675	108	18	grades	grade	NOUN
flr-675	108	19	from	from	ADP
flr-675	108	20	a	a	DET
flr-675	108	21	one	one	NUM
flr-675	108	22	unit	unit	NOUN
flr-675	108	23	change	change	NOUN
flr-675	108	24	in	in	ADP
flr-675	108	25	these	these	DET
flr-675	108	26	variables	variable	NOUN
flr-675	108	27	based	base	VERB
flr-675	108	28	on	on	ADP
flr-675	108	29	whatever	whatever	DET
flr-675	108	30	units	unit	NOUN
flr-675	108	31	the	the	DET
flr-675	108	32	original	original	ADJ
flr-675	108	33	variables	variable	NOUN
flr-675	108	34	were	be	AUX
flr-675	108	35	measured	measure	VERB
flr-675	108	36	in	in	ADP
flr-675	108	37	,	,	PUNCT
flr-675	108	38	whilst	whilst	SCONJ
flr-675	108	39	holding	hold	VERB
flr-675	108	40	the	the	DET
flr-675	108	41	effects	effect	NOUN
flr-675	108	42	of	of	ADP
flr-675	108	43	other	other	ADJ
flr-675	108	44	variables	variable	NOUN
flr-675	108	45	constant	constant	ADJ
flr-675	108	46	(	(	PUNCT
flr-675	108	47	when	when	SCONJ
flr-675	108	48	using	use	VERB
flr-675	108	49	regression	regression	NOUN
flr-675	108	50	,	,	PUNCT
flr-675	108	51	all	all	DET
flr-675	108	52	coefficients	coefficient	NOUN
flr-675	108	53	are	be	AUX
flr-675	108	54	conditional	conditional	ADJ
flr-675	108	55	on	on	ADP
flr-675	108	56	the	the	DET
flr-675	108	57	effects	effect	NOUN
flr-675	108	58	of	of	ADP
flr-675	108	59	other	other	ADJ
flr-675	108	60	variables	variable	NOUN
flr-675	108	61	in	in	ADP
flr-675	108	62	the	the	DET
flr-675	108	63	respective	respective	ADJ
flr-675	108	64	model	model	NOUN
flr-675	108	65	)	)	PUNCT
flr-675	108	66	.	.	PUNCT
flr-675	109	1	in	in	ADP
flr-675	109	2	model	model	NOUN
flr-675	109	3	1	1	NUM
flr-675	109	4	,	,	PUNCT
flr-675	109	5	the	the	DET
flr-675	109	6	b	b	NOUN
flr-675	109	7	-	-	PUNCT
flr-675	109	8	value	value	NOUN
flr-675	109	9	for	for	ADP
flr-675	109	10	the	the	DET
flr-675	109	11	constant	constant	ADJ
flr-675	109	12	is	be	AUX
flr-675	109	13	56.643	56.643	NUM
flr-675	109	14	,	,	PUNCT
flr-675	109	15	which	which	PRON
flr-675	109	16	represents	represent	VERB
flr-675	109	17	the	the	DET
flr-675	109	18	average	average	ADJ
flr-675	109	19	end	end	NOUN
flr-675	109	20	of	of	ADP
flr-675	109	21	first	first	ADJ
flr-675	109	22	year	year	NOUN
flr-675	109	23	grades	grade	NOUN
flr-675	109	24	(	(	PUNCT
flr-675	109	25	i.e.	i.e.	X
flr-675	109	26	56.64	56.64	NUM
flr-675	109	27	%	%	NOUN
flr-675	109	28	)	)	PUNCT
flr-675	109	29	for	for	ADP
flr-675	109	30	the	the	DET
flr-675	109	31	baseline	baseline	PROPN
flr-675	109	32	group	group	NOUN
flr-675	109	33	(	(	PUNCT
flr-675	109	34	group	group	NOUN
flr-675	109	35	0	0	NUM
flr-675	109	36	)	)	PUNCT
flr-675	109	37	.	.	PUNCT
flr-675	110	1	the	the	DET
flr-675	110	2	b	b	NOUN
flr-675	110	3	-	-	PUNCT
flr-675	110	4	value	value	NOUN
flr-675	110	5	for	for	ADP
flr-675	110	6	student	student	NOUN
flr-675	110	7	background	background	NOUN
flr-675	110	8	group	group	NOUN
flr-675	110	9	is	be	AUX
flr-675	110	10	5.462	5.462	NUM
flr-675	110	11	,	,	PUNCT
flr-675	110	12	which	which	PRON
flr-675	110	13	indicates	indicate	VERB
flr-675	110	14	that	that	SCONJ
flr-675	110	15	students	student	NOUN
flr-675	110	16	coded	code	VERB
flr-675	110	17	as	as	ADP
flr-675	110	18	group	group	NOUN
flr-675	110	19	1	1	NUM
flr-675	110	20	scored	score	VERB
flr-675	110	21	on	on	ADP
flr-675	110	22	average	average	ADJ
flr-675	110	23	5.46	5.46	NUM
flr-675	110	24	%	%	NOUN
flr-675	110	25	higher	high	ADJ
flr-675	110	26	in	in	ADP
flr-675	110	27	their	their	PRON
flr-675	110	28	end	end	NOUN
flr-675	110	29	of	of	ADP
flr-675	110	30	first	first	ADJ
flr-675	110	31	year	year	NOUN
flr-675	110	32	grades	grade	NOUN
flr-675	110	33	than	than	SCONJ
flr-675	110	34	students	student	NOUN
flr-675	110	35	coded	code	VERB
flr-675	110	36	as	as	ADP
flr-675	110	37	group	group	NOUN
flr-675	110	38	0	0	NUM
flr-675	110	39	,	,	PUNCT
flr-675	110	40	demonstrating	demonstrate	VERB
flr-675	110	41	that	that	SCONJ
flr-675	110	42	an	an	DET
flr-675	110	43	attainment	attainment	ADJ
flr-675	110	44	gap	gap	NOUN
flr-675	110	45	is	be	AUX
flr-675	110	46	present	present	ADJ
flr-675	110	47	.	.	PUNCT
flr-675	111	1	in	in	ADP
flr-675	111	2	model	model	NOUN
flr-675	111	3	2	2	NUM
flr-675	111	4	,	,	PUNCT
flr-675	111	5	the	the	DET
flr-675	111	6	b	b	NOUN
flr-675	111	7	-	-	PUNCT
flr-675	111	8	value	value	NOUN
flr-675	111	9	of	of	ADP
flr-675	111	10	.251	.251	NUM
flr-675	111	11	for	for	ADP
flr-675	111	12	prior	prior	ADJ
flr-675	111	13	attainment	attainment	NOUN
flr-675	111	14	,	,	PUNCT
flr-675	111	15	indicates	indicate	VERB
flr-675	111	16	that	that	SCONJ
flr-675	111	17	a	a	DET
flr-675	111	18	1	1	NUM
flr-675	111	19	%	%	NOUN
flr-675	111	20	increase	increase	NOUN
flr-675	111	21	in	in	ADP
flr-675	111	22	average	average	ADJ
flr-675	111	23	prior	prior	ADJ
flr-675	111	24	grades	grade	NOUN
flr-675	111	25	predicts	predict	VERB
flr-675	111	26	a	a	DET
flr-675	111	27	0.25	0.25	NUM
flr-675	111	28	%	%	NOUN
flr-675	111	29	increase	increase	NOUN
flr-675	111	30	in	in	ADP
flr-675	111	31	average	average	ADJ
flr-675	111	32	end	end	NOUN
flr-675	111	33	of	of	ADP
flr-675	111	34	first	first	ADJ
flr-675	111	35	year	year	NOUN
flr-675	111	36	grades	grade	NOUN
flr-675	111	37	,	,	PUNCT
flr-675	111	38	whilst	whilst	SCONJ
flr-675	111	39	holding	hold	VERB
flr-675	111	40	the	the	DET
flr-675	111	41	effects	effect	NOUN
flr-675	111	42	of	of	ADP
flr-675	111	43	all	all	DET
flr-675	111	44	other	other	ADJ
flr-675	111	45	variables	variable	NOUN
flr-675	111	46	constant	constant	ADJ
flr-675	111	47	.	.	PUNCT
flr-675	112	1	it	it	PRON
flr-675	112	2	is	be	AUX
flr-675	112	3	important	important	ADJ
flr-675	112	4	to	to	PART
flr-675	112	5	note	note	VERB
flr-675	112	6	that	that	SCONJ
flr-675	112	7	the	the	DET
flr-675	112	8	use	use	NOUN
flr-675	112	9	of	of	ADP
flr-675	112	10	beta	beta	ADJ
flr-675	112	11	coefficients	coefficient	NOUN
flr-675	112	12	(	(	PUNCT
flr-675	112	13	labelled	label	VERB
flr-675	112	14	standardized	standardized	ADJ
flr-675	112	15	coefficients	coefficient	NOUN
flr-675	112	16	beta	beta	ADJ
flr-675	112	17	in	in	ADP
flr-675	112	18	the	the	DET
flr-675	112	19	spss	spss	PROPN
flr-675	112	20	output	output	NOUN
flr-675	112	21	)	)	PUNCT
flr-675	112	22	for	for	ADP
flr-675	112	23	examining	examine	VERB
flr-675	112	24	relative	relative	ADJ
flr-675	112	25	importance	importance	NOUN
flr-675	112	26	of	of	ADP
flr-675	112	27	covariates	covariate	NOUN
flr-675	112	28	is	be	AUX
flr-675	112	29	problematic	problematic	ADJ
flr-675	112	30	in	in	ADP
flr-675	112	31	educational	educational	ADJ
flr-675	112	32	research	research	NOUN
flr-675	112	33	,	,	PUNCT
flr-675	112	34	because	because	SCONJ
flr-675	112	35	there	there	PRON
flr-675	112	36	is	be	VERB
flr-675	112	37	likely	likely	ADJ
flr-675	112	38	to	to	PART
flr-675	112	39	be	be	AUX
flr-675	112	40	high	high	ADJ
flr-675	112	41	dependence	dependence	NOUN
flr-675	112	42	between	between	ADP
flr-675	112	43	covariates	covariate	NOUN
flr-675	112	44	(	(	PUNCT
flr-675	112	45	karpen	karpen	PROPN
flr-675	112	46	,	,	PUNCT
flr-675	112	47	2017	2017	NUM
flr-675	112	48	)	)	PUNCT
flr-675	112	49	.	.	PUNCT
flr-675	113	1	therefore	therefore	ADV
flr-675	113	2	,	,	PUNCT
flr-675	113	3	courville	courville	NOUN
flr-675	113	4	and	and	CCONJ
flr-675	113	5	thompson	thompson	PROPN
flr-675	113	6	(	(	PUNCT
flr-675	113	7	2001	2001	NUM
flr-675	113	8	)	)	PUNCT
flr-675	113	9	advocate	advocate	NOUN
flr-675	113	10	interpreting	interpret	VERB
flr-675	113	11	beta	beta	ADJ
flr-675	113	12	coefficients	coefficient	NOUN
flr-675	113	13	alongside	alongside	ADP
flr-675	113	14	zero	zero	NUM
flr-675	113	15	-	-	PUNCT
flr-675	113	16	order	order	NOUN
flr-675	113	17	correlations	correlation	NOUN
flr-675	113	18	between	between	ADP
flr-675	113	19	the	the	DET
flr-675	113	20	covariate	covariate	NOUN
flr-675	113	21	and	and	CCONJ
flr-675	113	22	outcome	outcome	VERB
flr-675	113	23	in	in	ADP
flr-675	113	24	order	order	NOUN
flr-675	113	25	to	to	PART
flr-675	113	26	avoid	avoid	VERB
flr-675	113	27	misinterpretations	misinterpretation	NOUN
flr-675	113	28	.	.	PUNCT
flr-675	114	1	when	when	SCONJ
flr-675	114	2	covariates	covariate	NOUN
flr-675	114	3	are	be	AUX
flr-675	114	4	highly	highly	ADV
flr-675	114	5	linearly	linearly	ADV
flr-675	114	6	related	relate	VERB
flr-675	114	7	,	,	PUNCT
flr-675	114	8	this	this	PRON
flr-675	114	9	is	be	AUX
flr-675	114	10	known	know	VERB
flr-675	114	11	as	as	ADP
flr-675	114	12	multicollinearity	multicollinearity	NOUN
flr-675	114	13	,	,	PUNCT
flr-675	114	14	and	and	CCONJ
flr-675	114	15	it	it	PRON
flr-675	114	16	could	could	AUX
flr-675	114	17	indicate	indicate	VERB
flr-675	114	18	there	there	PRON
flr-675	114	19	is	be	VERB
flr-675	114	20	evidence	evidence	NOUN
flr-675	114	21	of	of	ADP
flr-675	114	22	bias	bias	NOUN
flr-675	114	23	,	,	PUNCT
flr-675	114	24	such	such	ADJ
flr-675	114	25	that	that	SCONJ
flr-675	114	26	the	the	DET
flr-675	114	27	b	b	NOUN
flr-675	114	28	-	-	PUNCT
flr-675	114	29	values	value	NOUN
flr-675	114	30	for	for	ADP
flr-675	114	31	each	each	DET
flr-675	114	32	covariate	covariate	NOUN
flr-675	114	33	may	may	AUX
flr-675	114	34	not	not	PART
flr-675	114	35	be	be	AUX
flr-675	114	36	valid	valid	ADJ
flr-675	114	37	or	or	CCONJ
flr-675	114	38	accurate	accurate	ADJ
flr-675	114	39	with	with	ADP
flr-675	114	40	respect	respect	NOUN
flr-675	114	41	to	to	ADP
flr-675	114	42	the	the	DET
flr-675	114	43	other	other	ADJ
flr-675	114	44	covariates	covariate	NOUN
flr-675	114	45	.	.	PUNCT
flr-675	115	1	since	since	SCONJ
flr-675	115	2	multicollinearity	multicollinearity	NOUN
flr-675	115	3	can	can	AUX
flr-675	115	4	still	still	ADV
flr-675	115	5	be	be	AUX
flr-675	115	6	present	present	ADJ
flr-675	115	7	even	even	ADV
flr-675	115	8	when	when	SCONJ
flr-675	115	9	there	there	PRON
flr-675	115	10	are	be	VERB
flr-675	115	11	relatively	relatively	ADV
flr-675	115	12	small	small	ADJ
flr-675	115	13	correlations	correlation	NOUN
flr-675	115	14	between	between	ADP
flr-675	115	15	covariates	covariate	NOUN
flr-675	115	16	(	(	PUNCT
flr-675	115	17	alin	alin	PROPN
flr-675	115	18	,	,	PUNCT
flr-675	115	19	2010	2010	NUM
flr-675	115	20	)	)	PUNCT
flr-675	115	21	,	,	PUNCT
flr-675	115	22	tolerance	tolerance	NOUN
flr-675	115	23	and	and	CCONJ
flr-675	115	24	vif	vif	NOUN
flr-675	115	25	values	value	NOUN
flr-675	115	26	(	(	PUNCT
flr-675	115	27	as	as	SCONJ
flr-675	115	28	found	find	VERB
flr-675	115	29	in	in	ADP
flr-675	115	30	the	the	DET
flr-675	115	31	collinearity	collinearity	NOUN
flr-675	115	32	statistics	statistic	NOUN
flr-675	115	33	section	section	NOUN
flr-675	115	34	of	of	ADP
flr-675	115	35	the	the	DET
flr-675	115	36	coefficients	coefficient	NOUN
flr-675	115	37	table	table	NOUN
flr-675	115	38	in	in	ADP
flr-675	115	39	figure	figure	NOUN
flr-675	115	40	3	3	NUM
flr-675	115	41	)	)	PUNCT
flr-675	115	42	should	should	AUX
flr-675	115	43	also	also	ADV
flr-675	115	44	be	be	AUX
flr-675	115	45	checked	check	VERB
flr-675	115	46	.	.	PUNCT
flr-675	116	1	although	although	SCONJ
flr-675	116	2	there	there	PRON
flr-675	116	3	have	have	AUX
flr-675	116	4	been	be	AUX
flr-675	116	5	various	various	ADJ
flr-675	116	6	debates	debate	NOUN
flr-675	116	7	about	about	ADP
flr-675	116	8	whether	whether	SCONJ
flr-675	116	9	to	to	PART
flr-675	116	10	use	use	VERB
flr-675	116	11	strict	strict	ADJ
flr-675	116	12	cut	cut	NOUN
flr-675	116	13	-	-	PUNCT
flr-675	116	14	offs	off	NOUN
flr-675	116	15	when	when	SCONJ
flr-675	116	16	determining	determine	VERB
flr-675	116	17	what	what	PRON
flr-675	116	18	constitutes	constitute	VERB
flr-675	116	19	a	a	DET
flr-675	116	20	problematic	problematic	ADJ
flr-675	116	21	level	level	NOUN
flr-675	116	22	of	of	ADP
flr-675	116	23	collinearity	collinearity	NOUN
flr-675	116	24	in	in	ADP
flr-675	116	25	the	the	DET
flr-675	116	26	data	datum	NOUN
flr-675	116	27	(	(	PUNCT
flr-675	116	28	thompson	thompson	PROPN
flr-675	116	29	et	et	PROPN
flr-675	116	30	al	al	PROPN
flr-675	116	31	.	.	PROPN
flr-675	116	32	,	,	PUNCT
flr-675	116	33	2017	2017	NUM
flr-675	116	34	)	)	PUNCT
flr-675	116	35	,	,	PUNCT
flr-675	116	36	using	use	VERB
flr-675	116	37	a	a	DET
flr-675	116	38	general	general	ADJ
flr-675	116	39	rule	rule	NOUN
flr-675	116	40	of	of	ADP
flr-675	116	41	thumb	thumb	NOUN
flr-675	116	42	,	,	PUNCT
flr-675	116	43	we	we	PRON
flr-675	116	44	would	would	AUX
flr-675	116	45	not	not	PART
flr-675	116	46	anticipate	anticipate	VERB
flr-675	116	47	there	there	PRON
flr-675	116	48	being	be	AUX
flr-675	116	49	a	a	DET
flr-675	116	50	particular	particular	ADJ
flr-675	116	51	issue	issue	NOUN
flr-675	116	52	with	with	ADP
flr-675	116	53	overlap	overlap	NOUN
flr-675	116	54	in	in	ADP
flr-675	116	55	the	the	DET
flr-675	116	56	variables	variable	NOUN
flr-675	116	57	in	in	ADP
flr-675	116	58	this	this	DET
flr-675	116	59	analysis	analysis	NOUN
flr-675	116	60	,	,	PUNCT
flr-675	116	61	since	since	SCONJ
flr-675	116	62	tolerance	tolerance	NOUN
flr-675	116	63	values	value	NOUN
flr-675	116	64	are	be	AUX
flr-675	116	65	close	close	ADJ
flr-675	116	66	to	to	ADP
flr-675	116	67	one	one	NUM
flr-675	116	68	and	and	CCONJ
flr-675	116	69	vif	vif	NOUN
flr-675	116	70	values	value	NOUN
flr-675	116	71	are	be	AUX
flr-675	116	72	not	not	PART
flr-675	116	73	much	much	ADV
flr-675	116	74	greater	great	ADJ
flr-675	116	75	than	than	ADP
flr-675	116	76	one	one	NUM
flr-675	116	77	.	.	PUNCT
flr-675	117	1	this	this	PRON
flr-675	117	2	means	mean	VERB
flr-675	117	3	that	that	SCONJ
flr-675	117	4	each	each	DET
flr-675	117	5	variable	variable	NOUN
flr-675	117	6	appears	appear	VERB
flr-675	117	7	to	to	PART
flr-675	117	8	be	be	AUX
flr-675	117	9	making	make	VERB
flr-675	117	10	a	a	DET
flr-675	117	11	unique	unique	ADJ
flr-675	117	12	contribution	contribution	NOUN
flr-675	117	13	to	to	ADP
flr-675	117	14	the	the	DET
flr-675	117	15	model	model	NOUN
flr-675	117	16	.	.	PUNCT
flr-675	118	1	in	in	ADP
flr-675	118	2	this	this	DET
flr-675	118	3	example	example	NOUN
flr-675	118	4	,	,	PUNCT
flr-675	118	5	we	we	PRON
flr-675	118	6	aimed	aim	VERB
flr-675	118	7	to	to	PART
flr-675	118	8	determine	determine	VERB
flr-675	118	9	whether	whether	SCONJ
flr-675	118	10	there	there	PRON
flr-675	118	11	were	be	VERB
flr-675	118	12	attainment	attainment	ADJ
flr-675	118	13	gaps	gap	NOUN
flr-675	118	14	based	base	VERB
flr-675	118	15	on	on	ADP
flr-675	118	16	students	student	NOUN
flr-675	118	17	’	’	PART
flr-675	118	18	background	background	NOUN
flr-675	118	19	groups	group	NOUN
flr-675	118	20	,	,	PUNCT
flr-675	118	21	and	and	CCONJ
flr-675	118	22	whether	whether	SCONJ
flr-675	118	23	a	a	DET
flr-675	118	24	set	set	NOUN
flr-675	118	25	of	of	ADP
flr-675	118	26	micro	micro	ADJ
flr-675	118	27	-	-	NOUN
flr-675	118	28	level	level	ADJ
flr-675	118	29	factors	factor	NOUN
flr-675	118	30	could	could	AUX
flr-675	118	31	predict	predict	VERB
flr-675	118	32	attainment	attainment	NOUN
flr-675	118	33	over	over	ADP
flr-675	118	34	and	and	CCONJ
flr-675	118	35	above	above	ADP
flr-675	118	36	these	these	DET
flr-675	118	37	groups	group	NOUN
flr-675	118	38	.	.	PUNCT
flr-675	119	1	the	the	DET
flr-675	119	2	analysis	analysis	NOUN
flr-675	119	3	of	of	ADP
flr-675	119	4	this	this	DET
flr-675	119	5	hypothetical	hypothetical	ADJ
flr-675	119	6	data	datum	NOUN
flr-675	119	7	set	set	NOUN
flr-675	119	8	indicates	indicate	VERB
flr-675	119	9	that	that	SCONJ
flr-675	119	10	students	student	NOUN
flr-675	119	11	coded	code	VERB
flr-675	119	12	as	as	SCONJ
flr-675	119	13	group	group	NOUN
flr-675	119	14	1	1	NUM
flr-675	119	15	performed	perform	VERB
flr-675	119	16	better	well	ADV
flr-675	119	17	than	than	SCONJ
flr-675	119	18	students	student	NOUN
flr-675	119	19	coded	code	VERB
flr-675	119	20	as	as	ADP
flr-675	119	21	group	group	NOUN
flr-675	119	22	0	0	NUM
flr-675	119	23	,	,	PUNCT
flr-675	119	24	but	but	CCONJ
flr-675	119	25	variation	variation	NOUN
flr-675	119	26	in	in	ADP
flr-675	119	27	attainment	attainment	NOUN
flr-675	119	28	can	can	AUX
flr-675	119	29	also	also	ADV
flr-675	119	30	be	be	AUX
flr-675	119	31	explained	explain	VERB
flr-675	119	32	by	by	ADP
flr-675	119	33	students	student	NOUN
flr-675	119	34	’	'	PUNCT
flr-675	119	35	entry	entry	NOUN
flr-675	119	36	qualification	qualification	NOUN
flr-675	119	37	,	,	PUNCT
flr-675	119	38	prior	prior	ADV
flr-675	119	39	attainment	attainment	NOUN
flr-675	119	40	and	and	CCONJ
flr-675	119	41	their	their	PRON
flr-675	119	42	sense	sense	NOUN
flr-675	119	43	of	of	ADP
flr-675	119	44	belonging	belong	VERB
flr-675	119	45	to	to	ADP
flr-675	119	46	the	the	DET
flr-675	119	47	university	university	NOUN
flr-675	119	48	.	.	PUNCT
flr-675	120	1	3.4	3.4	NUM
flr-675	120	2	tutorial	tutorial	NOUN
flr-675	120	3	2	2	NUM
flr-675	120	4	:	:	PUNCT
flr-675	120	5	illustrative	illustrative	ADJ
flr-675	120	6	example	example	NOUN
flr-675	120	7	of	of	ADP
flr-675	120	8	analysing	analyse	VERB
flr-675	120	9	continuation	continuation	NOUN
flr-675	120	10	gap	gap	NOUN
flr-675	120	11	data	datum	NOUN
flr-675	120	12	measured	measure	VERB
flr-675	120	13	at	at	ADP
flr-675	120	14	an	an	DET
flr-675	120	15	individual	individual	ADJ
flr-675	120	16	level	level	NOUN
flr-675	120	17	tutorial	tutorial	NOUN
flr-675	120	18	2	2	NUM
flr-675	120	19	also	also	ADV
flr-675	120	20	presents	present	VERB
flr-675	120	21	an	an	DET
flr-675	120	22	analysis	analysis	NOUN
flr-675	120	23	of	of	ADP
flr-675	120	24	the	the	DET
flr-675	120	25	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	120	26	spss	spss	PROPN
flr-675	120	27	data	datum	NOUN
flr-675	120	28	set	set	NOUN
flr-675	120	29	.	.	PUNCT
flr-675	121	1	however	however	ADV
flr-675	121	2	,	,	PUNCT
flr-675	121	3	the	the	DET
flr-675	121	4	continuation	continuation	NOUN
flr-675	121	5	variable	variable	NOUN
flr-675	121	6	in	in	ADP
flr-675	121	7	the	the	DET
flr-675	121	8	data	datum	NOUN
flr-675	121	9	set	set	VERB
flr-675	121	10	was	be	AUX
flr-675	121	11	used	use	VERB
flr-675	121	12	as	as	ADP
flr-675	121	13	the	the	DET
flr-675	121	14	outcome	outcome	NOUN
flr-675	121	15	instead	instead	ADV
flr-675	121	16	of	of	ADP
flr-675	121	17	grades	grade	NOUN
flr-675	121	18	(	(	PUNCT
flr-675	121	19	see	see	VERB
flr-675	121	20	table	table	NOUN
flr-675	121	21	1	1	NUM
flr-675	121	22	)	)	PUNCT
flr-675	121	23	.	.	PUNCT
flr-675	122	1	we	we	PRON
flr-675	122	2	are	be	AUX
flr-675	122	3	no	no	ADV
flr-675	122	4	longer	long	ADV
flr-675	122	5	modelling	model	VERB
flr-675	122	6	a	a	DET
flr-675	122	7	linear	linear	ADJ
flr-675	122	8	relationship	relationship	NOUN
flr-675	122	9	between	between	ADP
flr-675	122	10	covariates	covariate	NOUN
flr-675	122	11	and	and	CCONJ
flr-675	122	12	the	the	DET
flr-675	122	13	outcome	outcome	NOUN
flr-675	122	14	,	,	PUNCT
flr-675	122	15	because	because	SCONJ
flr-675	122	16	we	we	PRON
flr-675	122	17	now	now	ADV
flr-675	122	18	have	have	VERB
flr-675	122	19	a	a	DET
flr-675	122	20	binary	binary	ADJ
flr-675	122	21	outcome	outcome	NOUN
flr-675	122	22	(	(	PUNCT
flr-675	122	23	drop	drop	VERB
flr-675	122	24	out	out	ADP
flr-675	122	25	or	or	CCONJ
flr-675	122	26	progress	progress	VERB
flr-675	122	27	/	/	SYM
flr-675	122	28	complete	complete	ADJ
flr-675	122	29	)	)	PUNCT
flr-675	122	30	,	,	PUNCT
flr-675	122	31	so	so	CCONJ
flr-675	122	32	the	the	DET
flr-675	122	33	glm	glm	PROPN
flr-675	122	34	requires	require	VERB
flr-675	122	35	a	a	DET
flr-675	122	36	logarithmic	logarithmic	ADJ
flr-675	122	37	transformation	transformation	NOUN
flr-675	122	38	to	to	PART
flr-675	122	39	express	express	VERB
flr-675	122	40	the	the	DET
flr-675	122	41	non	non	ADJ
flr-675	122	42	-	-	ADJ
flr-675	122	43	linear	linear	ADJ
flr-675	122	44	relationship	relationship	NOUN
flr-675	122	45	in	in	ADP
flr-675	122	46	linear	linear	ADJ
flr-675	122	47	terms	term	NOUN
flr-675	122	48	.	.	PUNCT
flr-675	123	1	binary	binary	ADJ
flr-675	123	2	logistic	logistic	ADJ
flr-675	123	3	regression	regression	NOUN
flr-675	123	4	enables	enable	VERB
flr-675	123	5	us	we	PRON
flr-675	123	6	to	to	PART
flr-675	123	7	predict	predict	VERB
flr-675	123	8	the	the	DET
flr-675	123	9	odds	odd	NOUN
flr-675	123	10	of	of	ADP
flr-675	123	11	students	student	NOUN
flr-675	123	12	dropping	drop	VERB
flr-675	123	13	out	out	ADP
flr-675	123	14	of	of	ADP
flr-675	123	15	university	university	NOUN
flr-675	123	16	based	base	VERB
flr-675	123	17	on	on	ADP
flr-675	123	18	a	a	DET
flr-675	123	19	set	set	NOUN
flr-675	123	20	of	of	ADP
flr-675	123	21	categorical	categorical	ADJ
flr-675	123	22	and	and	CCONJ
flr-675	123	23	continuous	continuous	ADJ
flr-675	123	24	covariates	covariate	NOUN
flr-675	123	25	by	by	ADP
flr-675	123	26	computing	compute	VERB
flr-675	123	27	an	an	DET
flr-675	123	28	odds	odd	NOUN
flr-675	123	29	ratio	ratio	NOUN
flr-675	123	30	(	(	PUNCT
flr-675	123	31	or	or	CCONJ
flr-675	123	32	)	)	PUNCT
flr-675	123	33	for	for	ADP
flr-675	123	34	each	each	DET
flr-675	123	35	covariate	covariate	NOUN
flr-675	123	36	.	.	PUNCT
flr-675	124	1	the	the	PRON
flr-675	124	2	or	or	CCONJ
flr-675	124	3	is	be	AUX
flr-675	124	4	the	the	DET
flr-675	124	5	ratio	ratio	NOUN
flr-675	124	6	between	between	ADP
flr-675	124	7	the	the	DET
flr-675	124	8	probability	probability	NOUN
flr-675	124	9	of	of	ADP
flr-675	124	10	an	an	DET
flr-675	124	11	event	event	NOUN
flr-675	124	12	occurring	occur	VERB
flr-675	124	13	and	and	CCONJ
flr-675	124	14	the	the	DET
flr-675	124	15	probability	probability	NOUN
flr-675	124	16	of	of	ADP
flr-675	124	17	this	this	DET
flr-675	124	18	event	event	NOUN
flr-675	124	19	not	not	PART
flr-675	124	20	occurring	occur	VERB
flr-675	124	21	,	,	PUNCT
flr-675	124	22	and	and	CCONJ
flr-675	124	23	it	it	PRON
flr-675	124	24	can	can	AUX
flr-675	124	25	be	be	AUX
flr-675	124	26	used	use	VERB
flr-675	124	27	to	to	PART
flr-675	124	28	determine	determine	VERB
flr-675	124	29	the	the	DET
flr-675	124	30	proportionate	proportionate	ADJ
flr-675	124	31	change	change	NOUN
flr-675	124	32	in	in	ADP
flr-675	124	33	odds	odd	NOUN
flr-675	124	34	for	for	ADP
flr-675	124	35	the	the	DET
flr-675	124	36	outcome	outcome	NOUN
flr-675	124	37	variable	variable	NOUN
flr-675	124	38	based	base	VERB
flr-675	124	39	on	on	ADP
flr-675	124	40	a	a	DET
flr-675	124	41	change	change	NOUN
flr-675	124	42	in	in	ADP
flr-675	124	43	the	the	DET
flr-675	124	44	covariate	covariate	NOUN
flr-675	124	45	.	.	PUNCT
flr-675	125	1	to	to	PART
flr-675	125	2	demonstrate	demonstrate	VERB
flr-675	125	3	this	this	PRON
flr-675	125	4	,	,	PUNCT
flr-675	125	5	table	table	NOUN
flr-675	125	6	2	2	NUM
flr-675	125	7	displays	display	VERB
flr-675	125	8	the	the	DET
flr-675	125	9	association	association	NOUN
flr-675	125	10	between	between	ADP
flr-675	125	11	student	student	NOUN
flr-675	125	12	background	background	NOUN
flr-675	125	13	group	group	NOUN
flr-675	125	14	and	and	CCONJ
flr-675	125	15	continuation	continuation	NOUN
flr-675	125	16	,	,	PUNCT
flr-675	125	17	with	with	ADP
flr-675	125	18	a	a	DET
flr-675	125	19	,	,	PUNCT
flr-675	125	20	b	b	NOUN
flr-675	125	21	,	,	PUNCT
flr-675	125	22	c	c	PROPN
flr-675	125	23	and	and	CCONJ
flr-675	125	24	d	d	ADP
flr-675	125	25	representing	represent	VERB
flr-675	125	26	the	the	DET
flr-675	125	27	numbers	number	NOUN
flr-675	125	28	of	of	ADP
flr-675	125	29	students	student	NOUN
flr-675	125	30	in	in	ADP
flr-675	125	31	each	each	DET
flr-675	125	32	category	category	NOUN
flr-675	125	33	.	.	PUNCT
flr-675	126	1	table	table	NOUN
flr-675	126	2	2	2	NUM
flr-675	126	3	crosstabulation	crosstabulation	NOUN
flr-675	126	4	of	of	ADP
flr-675	126	5	student	student	NOUN
flr-675	126	6	background	background	NOUN
flr-675	126	7	group	group	NOUN
flr-675	126	8	by	by	ADP
flr-675	126	9	continuation	continuation	NOUN
flr-675	126	10	following	follow	VERB
flr-675	126	11	table	table	NOUN
flr-675	126	12	2	2	NUM
flr-675	126	13	,	,	PUNCT
flr-675	126	14	an	an	PRON
flr-675	126	15	or	or	CCONJ
flr-675	126	16	can	can	AUX
flr-675	126	17	be	be	AUX
flr-675	126	18	computed	compute	VERB
flr-675	126	19	to	to	PART
flr-675	126	20	determine	determine	VERB
flr-675	126	21	the	the	DET
flr-675	126	22	odds	odd	NOUN
flr-675	126	23	that	that	SCONJ
flr-675	126	24	students	student	NOUN
flr-675	126	25	in	in	ADP
flr-675	126	26	one	one	NUM
flr-675	126	27	group	group	NOUN
flr-675	126	28	are	be	AUX
flr-675	126	29	more	more	ADV
flr-675	126	30	likely	likely	ADJ
flr-675	126	31	to	to	PART
flr-675	126	32	drop	drop	VERB
flr-675	126	33	out	out	ADP
flr-675	126	34	than	than	ADP
flr-675	126	35	students	student	NOUN
flr-675	126	36	in	in	ADP
flr-675	126	37	the	the	DET
flr-675	126	38	other	other	ADJ
flr-675	126	39	group	group	NOUN
flr-675	126	40	.	.	PUNCT
flr-675	127	1	if	if	SCONJ
flr-675	127	2	we	we	PRON
flr-675	127	3	divide	divide	VERB
flr-675	127	4	the	the	DET
flr-675	127	5	odds	odd	NOUN
flr-675	127	6	of	of	ADP
flr-675	127	7	dropout	dropout	NOUN
flr-675	127	8	occurring	occur	VERB
flr-675	127	9	for	for	ADP
flr-675	127	10	group	group	NOUN
flr-675	127	11	0	0	NUM
flr-675	128	1	(	(	PUNCT
flr-675	128	2	a	a	PROPN
flr-675	128	3	/	/	SYM
flr-675	128	4	b	b	NOUN
flr-675	128	5	)	)	PUNCT
flr-675	129	1	by	by	ADP
flr-675	129	2	the	the	DET
flr-675	129	3	odds	odd	NOUN
flr-675	129	4	of	of	ADP
flr-675	129	5	dropout	dropout	NOUN
flr-675	129	6	occurring	occur	VERB
flr-675	129	7	for	for	ADP
flr-675	129	8	group	group	NOUN
flr-675	129	9	1	1	NUM
flr-675	129	10	(	(	PUNCT
flr-675	129	11	c	c	NOUN
flr-675	129	12	/	/	SYM
flr-675	129	13	d	d	NOUN
flr-675	129	14	)	)	PUNCT
flr-675	129	15	,	,	PUNCT
flr-675	129	16	an	an	PRON
flr-675	129	17	or	or	CCONJ
flr-675	129	18	value	value	NOUN
flr-675	129	19	of	of	ADP
flr-675	129	20	less	less	ADJ
flr-675	129	21	than	than	ADP
flr-675	129	22	one	one	NUM
flr-675	129	23	means	mean	VERB
flr-675	129	24	that	that	SCONJ
flr-675	129	25	c	c	AUX
flr-675	129	26	/	/	SYM
flr-675	129	27	d	d	NOUN
flr-675	129	28	is	be	AUX
flr-675	129	29	larger	large	ADJ
flr-675	129	30	than	than	ADP
flr-675	129	31	a	a	DET
flr-675	129	32	/	/	SYM
flr-675	129	33	b	b	NOUN
flr-675	129	34	,	,	PUNCT
flr-675	129	35	so	so	SCONJ
flr-675	129	36	this	this	PRON
flr-675	129	37	would	would	AUX
flr-675	129	38	indicate	indicate	VERB
flr-675	129	39	a	a	DET
flr-675	129	40	negative	negative	ADJ
flr-675	129	41	relationship	relationship	NOUN
flr-675	129	42	(	(	PUNCT
flr-675	129	43	i.e.	i.e.	X
flr-675	129	44	a	a	DET
flr-675	129	45	score	score	NOUN
flr-675	129	46	of	of	ADP
flr-675	129	47	0	0	NUM
flr-675	129	48	on	on	ADP
flr-675	129	49	one	one	NUM
flr-675	129	50	variable	variable	NOUN
flr-675	129	51	and	and	CCONJ
flr-675	129	52	1	1	NUM
flr-675	129	53	on	on	ADP
flr-675	129	54	the	the	DET
flr-675	129	55	other	other	ADJ
flr-675	129	56	)	)	PUNCT
flr-675	129	57	between	between	ADP
flr-675	129	58	the	the	DET
flr-675	129	59	student	student	NOUN
flr-675	129	60	background	background	NOUN
flr-675	129	61	group	group	NOUN
flr-675	129	62	and	and	CCONJ
flr-675	129	63	continuation	continuation	NOUN
flr-675	129	64	,	,	PUNCT
flr-675	129	65	meaning	mean	VERB
flr-675	129	66	that	that	SCONJ
flr-675	129	67	students	student	NOUN
flr-675	129	68	coded	code	VERB
flr-675	129	69	as	as	SCONJ
flr-675	129	70	group	group	NOUN
flr-675	129	71	1	1	NUM
flr-675	129	72	are	be	AUX
flr-675	129	73	more	more	ADV
flr-675	129	74	likely	likely	ADJ
flr-675	129	75	to	to	PART
flr-675	129	76	drop	drop	VERB
flr-675	129	77	out	out	ADP
flr-675	129	78	(	(	PUNCT
flr-675	129	79	coded	code	VERB
flr-675	129	80	as	as	ADP
flr-675	129	81	0	0	NUM
flr-675	129	82	)	)	PUNCT
flr-675	129	83	.	.	PUNCT
flr-675	130	1	an	an	DET
flr-675	130	2	or	or	CCONJ
flr-675	130	3	value	value	NOUN
flr-675	130	4	greater	great	ADJ
flr-675	130	5	than	than	ADP
flr-675	130	6	one	one	NUM
flr-675	130	7	means	mean	VERB
flr-675	130	8	that	that	SCONJ
flr-675	130	9	a	a	DET
flr-675	130	10	/	/	SYM
flr-675	130	11	b	b	NOUN
flr-675	130	12	is	be	AUX
flr-675	130	13	larger	large	ADJ
flr-675	130	14	than	than	ADP
flr-675	130	15	c	c	NOUN
flr-675	130	16	/	/	SYM
flr-675	130	17	d	d	NOUN
flr-675	130	18	,	,	PUNCT
flr-675	130	19	so	so	SCONJ
flr-675	130	20	this	this	PRON
flr-675	130	21	would	would	AUX
flr-675	130	22	indicate	indicate	VERB
flr-675	130	23	a	a	DET
flr-675	130	24	positive	positive	ADJ
flr-675	130	25	relationship	relationship	NOUN
flr-675	130	26	,	,	PUNCT
flr-675	130	27	meaning	mean	VERB
flr-675	130	28	that	that	SCONJ
flr-675	130	29	students	student	NOUN
flr-675	130	30	coded	code	VERB
flr-675	130	31	as	as	ADP
flr-675	130	32	group	group	NOUN
flr-675	130	33	0	0	NUM
flr-675	130	34	are	be	AUX
flr-675	130	35	more	more	ADV
flr-675	130	36	likely	likely	ADJ
flr-675	130	37	to	to	PART
flr-675	130	38	drop	drop	VERB
flr-675	130	39	out	out	ADP
flr-675	130	40	.	.	PUNCT
flr-675	131	1	to	to	PART
flr-675	131	2	aid	aid	VERB
flr-675	131	3	with	with	ADP
flr-675	131	4	understanding	understanding	NOUN
flr-675	131	5	,	,	PUNCT
flr-675	131	6	we	we	PRON
flr-675	131	7	have	have	AUX
flr-675	131	8	plotted	plot	VERB
flr-675	131	9	a	a	DET
flr-675	131	10	hypothetical	hypothetical	ADJ
flr-675	131	11	positive	positive	ADJ
flr-675	131	12	relationship	relationship	NOUN
flr-675	131	13	in	in	ADP
flr-675	131	14	figure	figure	NOUN
flr-675	131	15	4	4	NUM
flr-675	131	16	.	.	PUNCT
flr-675	131	17	figure	figure	VERB
flr-675	131	18	4	4	NUM
flr-675	131	19	.	.	PUNCT
flr-675	131	20	visual	visual	ADJ
flr-675	131	21	depiction	depiction	NOUN
flr-675	131	22	of	of	ADP
flr-675	131	23	a	a	DET
flr-675	131	24	positive	positive	ADJ
flr-675	131	25	relationship	relationship	NOUN
flr-675	131	26	between	between	ADP
flr-675	131	27	student	student	NOUN
flr-675	131	28	background	background	NOUN
flr-675	131	29	group	group	NOUN
flr-675	131	30	and	and	CCONJ
flr-675	131	31	continuation	continuation	NOUN
flr-675	131	32	the	the	DET
flr-675	131	33	question	question	NOUN
flr-675	131	34	we	we	PRON
flr-675	131	35	aim	aim	VERB
flr-675	131	36	to	to	PART
flr-675	131	37	answer	answer	VERB
flr-675	131	38	in	in	ADP
flr-675	131	39	this	this	DET
flr-675	131	40	tutorial	tutorial	NOUN
flr-675	131	41	is	be	AUX
flr-675	131	42	:	:	PUNCT
flr-675	131	43	is	be	AUX
flr-675	131	44	there	there	PRON
flr-675	131	45	a	a	DET
flr-675	131	46	continuation	continuation	NOUN
flr-675	131	47	gap	gap	NOUN
flr-675	131	48	based	base	VERB
flr-675	131	49	on	on	ADP
flr-675	131	50	the	the	DET
flr-675	131	51	students	student	NOUN
flr-675	131	52	’	’	PART
flr-675	131	53	background	background	NOUN
flr-675	131	54	groups	group	NOUN
flr-675	131	55	,	,	PUNCT
flr-675	131	56	and	and	CCONJ
flr-675	131	57	can	can	AUX
flr-675	131	58	a	a	DET
flr-675	131	59	set	set	NOUN
flr-675	131	60	of	of	ADP
flr-675	131	61	micro	micro	ADJ
flr-675	131	62	-	-	NOUN
flr-675	131	63	level	level	ADJ
flr-675	131	64	factors	factor	NOUN
flr-675	131	65	predict	predict	VERB
flr-675	131	66	continuation	continuation	NOUN
flr-675	131	67	over	over	ADP
flr-675	131	68	and	and	CCONJ
flr-675	131	69	above	above	ADP
flr-675	131	70	these	these	DET
flr-675	131	71	groups	group	NOUN
flr-675	131	72	?	?	PUNCT
flr-675	132	1	for	for	ADP
flr-675	132	2	tutorial	tutorial	NOUN
flr-675	132	3	2	2	NUM
flr-675	132	4	,	,	PUNCT
flr-675	132	5	we	we	PRON
flr-675	132	6	performed	perform	VERB
flr-675	132	7	a	a	DET
flr-675	132	8	binary	binary	ADJ
flr-675	132	9	logistic	logistic	ADJ
flr-675	132	10	regression	regression	NOUN
flr-675	132	11	analysis	analysis	NOUN
flr-675	132	12	to	to	PART
flr-675	132	13	determine	determine	VERB
flr-675	132	14	the	the	DET
flr-675	132	15	relative	relative	ADJ
flr-675	132	16	contribution	contribution	NOUN
flr-675	132	17	that	that	PRON
flr-675	132	18	each	each	DET
flr-675	132	19	variable	variable	NOUN
flr-675	132	20	might	might	AUX
flr-675	132	21	make	make	VERB
flr-675	132	22	to	to	PART
flr-675	132	23	explaining	explain	VERB
flr-675	132	24	the	the	DET
flr-675	132	25	odds	odd	NOUN
flr-675	132	26	of	of	ADP
flr-675	132	27	students	student	NOUN
flr-675	132	28	dropping	drop	VERB
flr-675	132	29	out	out	ADP
flr-675	132	30	of	of	ADP
flr-675	132	31	university	university	NOUN
flr-675	132	32	or	or	CCONJ
flr-675	132	33	progressing	progressing	NOUN
flr-675	132	34	/	/	SYM
flr-675	132	35	completing	completing	NOUN
flr-675	132	36	.	.	PUNCT
flr-675	133	1	we	we	PRON
flr-675	133	2	began	begin	VERB
flr-675	133	3	by	by	ADP
flr-675	133	4	specifying	specify	VERB
flr-675	133	5	the	the	DET
flr-675	133	6	models	model	NOUN
flr-675	133	7	,	,	PUNCT
flr-675	133	8	so	so	CCONJ
flr-675	133	9	in	in	ADP
flr-675	133	10	the	the	DET
flr-675	133	11	first	first	ADJ
flr-675	133	12	model	model	NOUN
flr-675	133	13	we	we	PRON
flr-675	133	14	entered	enter	VERB
flr-675	133	15	the	the	DET
flr-675	133	16	student	student	NOUN
flr-675	133	17	background	background	NOUN
flr-675	133	18	group	group	NOUN
flr-675	133	19	variable	variable	NOUN
flr-675	133	20	on	on	ADP
flr-675	133	21	its	its	PRON
flr-675	133	22	own	own	ADJ
flr-675	133	23	(	(	PUNCT
flr-675	133	24	model	model	NOUN
flr-675	133	25	1	1	NUM
flr-675	133	26	)	)	PUNCT
flr-675	133	27	.	.	PUNCT
flr-675	134	1	we	we	PRON
flr-675	134	2	then	then	ADV
flr-675	134	3	entered	enter	VERB
flr-675	134	4	prior	prior	ADJ
flr-675	134	5	attainment	attainment	ADJ
flr-675	134	6	,	,	PUNCT
flr-675	134	7	entry	entry	NOUN
flr-675	134	8	qualification	qualification	NOUN
flr-675	134	9	,	,	PUNCT
flr-675	134	10	and	and	CCONJ
flr-675	134	11	the	the	DET
flr-675	134	12	measure	measure	NOUN
flr-675	134	13	of	of	ADP
flr-675	134	14	belonging	belong	VERB
flr-675	134	15	into	into	ADP
flr-675	134	16	the	the	DET
flr-675	134	17	next	next	ADJ
flr-675	134	18	model	model	NOUN
flr-675	134	19	(	(	PUNCT
flr-675	134	20	model	model	NOUN
flr-675	134	21	2	2	NUM
flr-675	134	22	)	)	PUNCT
flr-675	134	23	.	.	PUNCT
flr-675	135	1	the	the	DET
flr-675	135	2	individual_level_continuation.sps	individual_level_continuation.sps	PROPN
flr-675	135	3	spss	spss	PROPN
flr-675	135	4	syntax	syntax	NOUN
flr-675	135	5	file	file	NOUN
flr-675	135	6	includes	include	VERB
flr-675	135	7	the	the	DET
flr-675	135	8	code	code	NOUN
flr-675	135	9	for	for	ADP
flr-675	135	10	all	all	DET
flr-675	135	11	stages	stage	NOUN
flr-675	135	12	of	of	ADP
flr-675	135	13	this	this	DET
flr-675	135	14	analysis	analysis	NOUN
flr-675	135	15	.	.	PUNCT
flr-675	136	1	findings	finding	NOUN
flr-675	136	2	from	from	ADP
flr-675	136	3	model	model	NOUN
flr-675	136	4	specifications	specification	NOUN
flr-675	136	5	are	be	AUX
flr-675	136	6	found	find	VERB
flr-675	136	7	in	in	ADP
flr-675	136	8	figure	figure	NOUN
flr-675	136	9	5	5	NUM
flr-675	136	10	.	.	PUNCT
flr-675	136	11	figure	figure	NOUN
flr-675	136	12	5	5	NUM
flr-675	136	13	.	.	PUNCT
flr-675	137	1	spss	spss	PROPN
flr-675	137	2	output	output	NOUN
flr-675	137	3	of	of	ADP
flr-675	137	4	model	model	NOUN
flr-675	137	5	summary	summary	NOUN
flr-675	137	6	tables	table	NOUN
flr-675	137	7	from	from	ADP
flr-675	137	8	models	model	NOUN
flr-675	137	9	1	1	NUM
flr-675	137	10	(	(	PUNCT
flr-675	137	11	table	table	NOUN
flr-675	137	12	above	above	ADV
flr-675	137	13	)	)	PUNCT
flr-675	137	14	and	and	CCONJ
flr-675	137	15	2	2	NUM
flr-675	137	16	(	(	PUNCT
flr-675	137	17	table	table	NOUN
flr-675	137	18	below	below	ADV
flr-675	137	19	)	)	PUNCT
flr-675	137	20	in	in	ADP
flr-675	137	21	logistic	logistic	ADJ
flr-675	137	22	regression	regression	NOUN
flr-675	137	23	analysis	analysis	NOUN
flr-675	137	24	of	of	ADP
flr-675	137	25	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	137	26	data	datum	NOUN
flr-675	137	27	set	set	VERB
flr-675	137	28	using	use	VERB
flr-675	137	29	individual_level_continuation.sps	individual_level_continuation.sps	PROPN
flr-675	137	30	syntax	syntax	NOUN
flr-675	137	31	figure	figure	NOUN
flr-675	137	32	5	5	NUM
flr-675	137	33	demonstrates	demonstrate	VERB
flr-675	137	34	whether	whether	SCONJ
flr-675	137	35	each	each	DET
flr-675	137	36	model	model	NOUN
flr-675	137	37	is	be	AUX
flr-675	137	38	a	a	DET
flr-675	137	39	good	good	ADJ
flr-675	137	40	fit	fit	NOUN
flr-675	137	41	to	to	ADP
flr-675	137	42	the	the	DET
flr-675	137	43	data	datum	NOUN
flr-675	137	44	.	.	PUNCT
flr-675	138	1	the	the	DET
flr-675	138	2	model	model	NOUN
flr-675	138	3	row	row	NOUN
flr-675	138	4	of	of	ADP
flr-675	138	5	the	the	DET
flr-675	138	6	first	first	ADJ
flr-675	138	7	table	table	NOUN
flr-675	138	8	indicates	indicate	VERB
flr-675	138	9	that	that	SCONJ
flr-675	138	10	model	model	NOUN
flr-675	138	11	1	1	NUM
flr-675	138	12	(	(	PUNCT
flr-675	138	13	which	which	PRON
flr-675	138	14	includes	include	VERB
flr-675	138	15	the	the	DET
flr-675	138	16	student	student	NOUN
flr-675	138	17	background	background	NOUN
flr-675	138	18	group	group	NOUN
flr-675	138	19	variable	variable	NOUN
flr-675	138	20	only	only	ADV
flr-675	138	21	)	)	PUNCT
flr-675	138	22	is	be	AUX
flr-675	138	23	a	a	DET
flr-675	138	24	significant	significant	ADJ
flr-675	138	25	fit	fit	NOUN
flr-675	138	26	to	to	ADP
flr-675	138	27	the	the	DET
flr-675	138	28	data	datum	NOUN
flr-675	138	29	(	(	PUNCT
flr-675	138	30	p	p	X
flr-675	138	31	<	<	X
flr-675	138	32	.001	.001	NUM
flr-675	138	33	)	)	PUNCT
flr-675	138	34	.	.	PUNCT
flr-675	139	1	the	the	DET
flr-675	139	2	block	block	NOUN
flr-675	139	3	row	row	NOUN
flr-675	139	4	in	in	ADP
flr-675	139	5	the	the	DET
flr-675	139	6	second	second	ADJ
flr-675	139	7	table	table	NOUN
flr-675	139	8	indicates	indicate	VERB
flr-675	139	9	that	that	SCONJ
flr-675	139	10	the	the	DET
flr-675	139	11	change	change	NOUN
flr-675	139	12	from	from	ADP
flr-675	139	13	model	model	NOUN
flr-675	139	14	1	1	NUM
flr-675	139	15	to	to	PART
flr-675	139	16	model	model	VERB
flr-675	139	17	2	2	NUM
flr-675	139	18	(	(	PUNCT
flr-675	139	19	which	which	PRON
flr-675	139	20	adds	add	VERB
flr-675	139	21	all	all	DET
flr-675	139	22	covariates	covariate	NOUN
flr-675	139	23	)	)	PUNCT
flr-675	139	24	is	be	AUX
flr-675	139	25	significant	significant	ADJ
flr-675	139	26	(	(	PUNCT
flr-675	139	27	p	p	X
flr-675	139	28	<	<	X
flr-675	139	29	.001	.001	NUM
flr-675	139	30	)	)	PUNCT
flr-675	139	31	.	.	PUNCT
flr-675	140	1	as	as	ADP
flr-675	140	2	with	with	ADP
flr-675	140	3	tutorial	tutorial	NOUN
flr-675	140	4	1	1	NUM
flr-675	140	5	,	,	PUNCT
flr-675	140	6	we	we	PRON
flr-675	140	7	need	need	VERB
flr-675	140	8	to	to	PART
flr-675	140	9	check	check	VERB
flr-675	140	10	for	for	ADP
flr-675	140	11	any	any	DET
flr-675	140	12	sources	source	NOUN
flr-675	140	13	of	of	ADP
flr-675	140	14	bias	bias	NOUN
flr-675	140	15	in	in	ADP
flr-675	140	16	the	the	DET
flr-675	140	17	data	datum	NOUN
flr-675	140	18	(	(	PUNCT
flr-675	140	19	i.e.	i.e.	X
flr-675	140	20	outliers	outlier	NOUN
flr-675	140	21	and	and	CCONJ
flr-675	140	22	influential	influential	ADJ
flr-675	140	23	cases	case	NOUN
flr-675	140	24	)	)	PUNCT
flr-675	140	25	,	,	PUNCT
flr-675	140	26	and	and	CCONJ
flr-675	140	27	whether	whether	SCONJ
flr-675	140	28	certain	certain	ADJ
flr-675	140	29	assumptions	assumption	NOUN
flr-675	140	30	have	have	AUX
flr-675	140	31	been	be	AUX
flr-675	140	32	met	meet	VERB
flr-675	140	33	if	if	SCONJ
flr-675	140	34	we	we	PRON
flr-675	140	35	want	want	VERB
flr-675	140	36	to	to	PART
flr-675	140	37	generalise	generalise	VERB
flr-675	140	38	the	the	DET
flr-675	140	39	model	model	NOUN
flr-675	140	40	.	.	PUNCT
flr-675	141	1	diagnostic	diagnostic	ADJ
flr-675	141	2	tests	test	NOUN
flr-675	141	3	for	for	ADP
flr-675	141	4	checking	check	VERB
flr-675	141	5	sources	source	NOUN
flr-675	141	6	of	of	ADP
flr-675	141	7	bias	bias	NOUN
flr-675	141	8	and	and	CCONJ
flr-675	141	9	whether	whether	SCONJ
flr-675	141	10	assumptions	assumption	NOUN
flr-675	141	11	have	have	AUX
flr-675	141	12	been	be	AUX
flr-675	141	13	met	meet	VERB
flr-675	141	14	have	have	AUX
flr-675	141	15	been	be	AUX
flr-675	141	16	included	include	VERB
flr-675	141	17	in	in	ADP
flr-675	141	18	the	the	DET
flr-675	141	19	spss	spss	PROPN
flr-675	141	20	syntax	syntax	NOUN
flr-675	141	21	.	.	PUNCT
flr-675	142	1	we	we	PRON
flr-675	142	2	now	now	ADV
flr-675	142	3	look	look	VERB
flr-675	142	4	at	at	ADP
flr-675	142	5	the	the	DET
flr-675	142	6	contribution	contribution	NOUN
flr-675	142	7	each	each	DET
flr-675	142	8	individual	individual	ADJ
flr-675	142	9	covariate	covariate	NOUN
flr-675	142	10	made	make	VERB
flr-675	142	11	to	to	ADP
flr-675	142	12	each	each	DET
flr-675	142	13	model	model	NOUN
flr-675	142	14	by	by	ADP
flr-675	142	15	examining	examine	VERB
flr-675	142	16	the	the	DET
flr-675	142	17	variables	variable	NOUN
flr-675	142	18	in	in	ADP
flr-675	142	19	the	the	DET
flr-675	142	20	equation	equation	NOUN
flr-675	142	21	tables	table	NOUN
flr-675	142	22	from	from	ADP
flr-675	142	23	the	the	DET
flr-675	142	24	spss	spss	PROPN
flr-675	142	25	output	output	NOUN
flr-675	142	26	(	(	PUNCT
flr-675	142	27	figure	figure	NOUN
flr-675	142	28	6	6	NUM
flr-675	142	29	)	)	PUNCT
flr-675	142	30	.	.	PUNCT
flr-675	143	1	figure	figure	VERB
flr-675	143	2	6	6	NUM
flr-675	143	3	.	.	PUNCT
flr-675	143	4	spss	spss	ADJ
flr-675	143	5	output	output	NOUN
flr-675	143	6	of	of	ADP
flr-675	143	7	variables	variable	NOUN
flr-675	143	8	in	in	ADP
flr-675	143	9	the	the	DET
flr-675	143	10	equation	equation	NOUN
flr-675	143	11	tables	table	NOUN
flr-675	143	12	from	from	ADP
flr-675	143	13	models	model	NOUN
flr-675	143	14	1	1	NUM
flr-675	143	15	(	(	PUNCT
flr-675	143	16	table	table	NOUN
flr-675	143	17	above	above	ADV
flr-675	143	18	)	)	PUNCT
flr-675	143	19	and	and	CCONJ
flr-675	143	20	2	2	NUM
flr-675	143	21	(	(	PUNCT
flr-675	143	22	table	table	NOUN
flr-675	143	23	below	below	ADV
flr-675	143	24	)	)	PUNCT
flr-675	143	25	in	in	ADP
flr-675	143	26	logistic	logistic	ADJ
flr-675	143	27	regression	regression	NOUN
flr-675	143	28	analysis	analysis	NOUN
flr-675	143	29	of	of	ADP
flr-675	143	30	individual_level_example.sav	individual_level_example.sav	PROPN
flr-675	143	31	data	datum	NOUN
flr-675	143	32	set	set	VERB
flr-675	143	33	using	use	VERB
flr-675	143	34	individual_level_continuation.sps	individual_level_continuation.sp	NOUN
flr-675	143	35	syntax	syntax	VERB
flr-675	143	36	the	the	DET
flr-675	143	37	tables	table	NOUN
flr-675	143	38	in	in	ADP
flr-675	143	39	figure	figure	NOUN
flr-675	143	40	6	6	NUM
flr-675	143	41	show	show	VERB
flr-675	143	42	the	the	DET
flr-675	143	43	individual	individual	ADJ
flr-675	143	44	contribution	contribution	NOUN
flr-675	143	45	of	of	ADP
flr-675	143	46	each	each	DET
flr-675	143	47	covariate	covariate	NOUN
flr-675	143	48	to	to	ADP
flr-675	143	49	each	each	DET
flr-675	143	50	model	model	NOUN
flr-675	143	51	in	in	ADP
flr-675	143	52	the	the	DET
flr-675	143	53	analysis	analysis	NOUN
flr-675	143	54	.	.	PUNCT
flr-675	144	1	all	all	DET
flr-675	144	2	b	b	NOUN
flr-675	144	3	-	-	PUNCT
flr-675	144	4	values	value	NOUN
flr-675	144	5	indicate	indicate	VERB
flr-675	144	6	positive	positive	ADJ
flr-675	144	7	relationships	relationship	NOUN
flr-675	144	8	and	and	CCONJ
flr-675	144	9	are	be	AUX
flr-675	144	10	significant	significant	ADJ
flr-675	144	11	,	,	PUNCT
flr-675	144	12	but	but	CCONJ
flr-675	144	13	the	the	PRON
flr-675	144	14	or	or	CCONJ
flr-675	144	15	values	value	NOUN
flr-675	144	16	(	(	PUNCT
flr-675	144	17	labelled	label	VERB
flr-675	144	18	as	as	ADP
flr-675	144	19	exp(b	exp(b	PROPN
flr-675	144	20	)	)	PUNCT
flr-675	144	21	in	in	ADP
flr-675	144	22	the	the	DET
flr-675	144	23	spss	spss	PROPN
flr-675	144	24	output	output	NOUN
flr-675	144	25	)	)	PUNCT
flr-675	144	26	are	be	AUX
flr-675	144	27	easier	easy	ADJ
flr-675	144	28	to	to	PART
flr-675	144	29	interpret	interpret	VERB
flr-675	144	30	.	.	PUNCT
flr-675	145	1	in	in	ADP
flr-675	145	2	model	model	NOUN
flr-675	145	3	1	1	NUM
flr-675	145	4	,	,	PUNCT
flr-675	145	5	the	the	PRON
flr-675	145	6	or	or	CCONJ
flr-675	145	7	for	for	ADP
flr-675	145	8	student	student	NOUN
flr-675	145	9	background	background	NOUN
flr-675	145	10	group	group	NOUN
flr-675	145	11	is	be	AUX
flr-675	145	12	6.449	6.449	NUM
flr-675	145	13	.	.	PUNCT
flr-675	146	1	this	this	DET
flr-675	146	2	value	value	NOUN
flr-675	146	3	is	be	AUX
flr-675	146	4	greater	great	ADJ
flr-675	146	5	than	than	ADP
flr-675	146	6	one	one	NUM
flr-675	146	7	,	,	PUNCT
flr-675	146	8	which	which	PRON
flr-675	146	9	indicates	indicate	VERB
flr-675	146	10	a	a	DET
flr-675	146	11	positive	positive	ADJ
flr-675	146	12	relationship	relationship	NOUN
flr-675	146	13	between	between	ADP
flr-675	146	14	student	student	NOUN
flr-675	146	15	background	background	NOUN
flr-675	146	16	group	group	NOUN
flr-675	146	17	and	and	CCONJ
flr-675	146	18	continuation	continuation	NOUN
flr-675	146	19	,	,	PUNCT
flr-675	146	20	and	and	CCONJ
flr-675	146	21	this	this	PRON
flr-675	146	22	is	be	AUX
flr-675	146	23	significant	significant	ADJ
flr-675	146	24	(	(	PUNCT
flr-675	146	25	p	p	X
flr-675	146	26	<	<	X
flr-675	146	27	.001	.001	NUM
flr-675	146	28	)	)	PUNCT
flr-675	146	29	.	.	PUNCT
flr-675	147	1	therefore	therefore	ADV
flr-675	147	2	,	,	PUNCT
flr-675	147	3	students	student	NOUN
flr-675	147	4	coded	code	VERB
flr-675	147	5	as	as	ADP
flr-675	147	6	group	group	NOUN
flr-675	147	7	0	0	NUM
flr-675	147	8	were	be	AUX
flr-675	147	9	more	more	ADV
flr-675	147	10	likely	likely	ADJ
flr-675	147	11	to	to	PART
flr-675	147	12	drop	drop	VERB
flr-675	147	13	out	out	ADP
flr-675	147	14	(	(	PUNCT
flr-675	147	15	also	also	ADV
flr-675	147	16	coded	code	VERB
flr-675	147	17	as	as	ADP
flr-675	147	18	0	0	NUM
flr-675	147	19	)	)	PUNCT
flr-675	147	20	than	than	SCONJ
flr-675	147	21	students	student	NOUN
flr-675	147	22	coded	code	VERB
flr-675	147	23	as	as	ADP
flr-675	147	24	group	group	NOUN
flr-675	147	25	1	1	NUM
flr-675	147	26	by	by	ADP
flr-675	147	27	a	a	DET
flr-675	147	28	factor	factor	NOUN
flr-675	147	29	of	of	ADP
flr-675	147	30	6.449	6.449	NUM
flr-675	147	31	.	.	PUNCT
flr-675	148	1	in	in	ADP
flr-675	148	2	other	other	ADJ
flr-675	148	3	words	word	NOUN
flr-675	148	4	,	,	PUNCT
flr-675	148	5	students	student	NOUN
flr-675	148	6	coded	code	VERB
flr-675	148	7	as	as	SCONJ
flr-675	148	8	group	group	NOUN
flr-675	148	9	0	0	NUM
flr-675	148	10	were	be	AUX
flr-675	148	11	over	over	ADV
flr-675	148	12	six	six	NUM
flr-675	148	13	times	time	NOUN
flr-675	148	14	as	as	ADV
flr-675	148	15	likely	likely	ADJ
flr-675	148	16	to	to	PART
flr-675	148	17	drop	drop	VERB
flr-675	148	18	out	out	ADP
flr-675	148	19	than	than	SCONJ
flr-675	148	20	students	student	NOUN
flr-675	148	21	coded	code	VERB
flr-675	148	22	as	as	ADP
flr-675	148	23	group	group	NOUN
flr-675	148	24	1	1	NUM
flr-675	148	25	,	,	PUNCT
flr-675	148	26	demonstrating	demonstrate	VERB
flr-675	148	27	that	that	SCONJ
flr-675	148	28	a	a	DET
flr-675	148	29	continuation	continuation	NOUN
flr-675	148	30	gap	gap	NOUN
flr-675	148	31	is	be	AUX
flr-675	148	32	present	present	ADJ
flr-675	148	33	.	.	PUNCT
flr-675	149	1	in	in	ADP
flr-675	149	2	model	model	NOUN
flr-675	149	3	2	2	NUM
flr-675	149	4	,	,	PUNCT
flr-675	149	5	the	the	DET
flr-675	149	6	effect	effect	NOUN
flr-675	149	7	of	of	ADP
flr-675	149	8	background	background	NOUN
flr-675	149	9	group	group	NOUN
flr-675	149	10	drops	drop	VERB
flr-675	149	11	to	to	ADP
flr-675	149	12	non	non	ADJ
flr-675	149	13	-	-	NOUN
flr-675	149	14	significance	significance	NOUN
flr-675	149	15	(	(	PUNCT
flr-675	149	16	p	p	NOUN
flr-675	149	17	=	=	NOUN
flr-675	149	18	.123	.123	NUM
flr-675	149	19	,	,	PUNCT
flr-675	149	20	and	and	CCONJ
flr-675	149	21	the	the	DET
flr-675	149	22	confidence	confidence	NOUN
flr-675	149	23	interval	interval	NOUN
flr-675	149	24	,	,	PUNCT
flr-675	149	25	labelled	label	VERB
flr-675	149	26	as	as	ADP
flr-675	149	27	95	95	NUM
flr-675	149	28	%	%	NOUN
flr-675	149	29	c.i	c.i	NOUN
flr-675	149	30	.	.	PROPN
flr-675	149	31	for	for	ADP
flr-675	149	32	exp(b	exp(b	NUM
flr-675	149	33	)	)	PUNCT
flr-675	149	34	in	in	ADP
flr-675	149	35	the	the	DET
flr-675	149	36	spss	spss	PROPN
flr-675	149	37	output	output	NOUN
flr-675	149	38	,	,	PUNCT
flr-675	149	39	also	also	ADV
flr-675	149	40	crosses	cross	VERB
flr-675	149	41	one	one	NUM
flr-675	149	42	)	)	PUNCT
flr-675	149	43	and	and	CCONJ
flr-675	149	44	prior	prior	ADJ
flr-675	149	45	attainment	attainment	NOUN
flr-675	149	46	is	be	AUX
flr-675	149	47	also	also	ADV
flr-675	149	48	non	non	ADJ
flr-675	149	49	-	-	ADJ
flr-675	149	50	significant	significant	ADJ
flr-675	149	51	(	(	PUNCT
flr-675	149	52	p	p	NOUN
flr-675	149	53	=	=	NOUN
flr-675	149	54	.072	.072	NUM
flr-675	149	55	)	)	PUNCT
flr-675	149	56	.	.	PUNCT
flr-675	150	1	entry	entry	NOUN
flr-675	150	2	qualification	qualification	NOUN
flr-675	150	3	and	and	CCONJ
flr-675	150	4	sense	sense	NOUN
flr-675	150	5	of	of	ADP
flr-675	150	6	belonging	belonging	NOUN
flr-675	150	7	are	be	AUX
flr-675	150	8	significant	significant	ADJ
flr-675	150	9	(	(	PUNCT
flr-675	150	10	or	or	CCONJ
flr-675	150	11	=	=	SYM
flr-675	150	12	7.785	7.785	NUM
flr-675	150	13	,	,	PUNCT
flr-675	150	14	p	p	X
flr-675	150	15	<	<	X
flr-675	150	16	.001	.001	NUM
flr-675	150	17	and	and	CCONJ
flr-675	150	18	or	or	CCONJ
flr-675	150	19	=	=	NUM
flr-675	150	20	2.208	2.208	NUM
flr-675	150	21	,	,	PUNCT
flr-675	150	22	p	p	NOUN
flr-675	150	23	=	=	NOUN
flr-675	150	24	.018	.018	NUM
flr-675	150	25	,	,	PUNCT
flr-675	150	26	respectively	respectively	ADV
flr-675	150	27	)	)	PUNCT
flr-675	150	28	.	.	PUNCT
flr-675	151	1	this	this	PRON
flr-675	151	2	indicates	indicate	VERB
flr-675	151	3	that	that	SCONJ
flr-675	151	4	students	student	NOUN
flr-675	151	5	with	with	ADP
flr-675	151	6	lower	low	ADJ
flr-675	151	7	scores	score	NOUN
flr-675	151	8	on	on	ADP
flr-675	151	9	the	the	DET
flr-675	151	10	measure	measure	NOUN
flr-675	151	11	of	of	ADP
flr-675	151	12	belonging	belong	VERB
flr-675	151	13	and	and	CCONJ
flr-675	151	14	qualification	qualification	NOUN
flr-675	151	15	type	type	NOUN
flr-675	151	16	a	a	PRON
flr-675	151	17	(	(	PUNCT
flr-675	151	18	coded	code	VERB
flr-675	151	19	as	as	ADP
flr-675	151	20	0	0	NUM
flr-675	151	21	)	)	PUNCT
flr-675	151	22	were	be	AUX
flr-675	151	23	more	more	ADV
flr-675	151	24	likely	likely	ADJ
flr-675	151	25	to	to	PART
flr-675	151	26	drop	drop	VERB
flr-675	151	27	out	out	ADP
flr-675	151	28	(	(	PUNCT
flr-675	151	29	also	also	ADV
flr-675	151	30	coded	code	VERB
flr-675	151	31	as	as	ADP
flr-675	151	32	0	0	NUM
flr-675	151	33	)	)	PUNCT
flr-675	151	34	,	,	PUNCT
flr-675	151	35	assuming	assume	VERB
flr-675	151	36	the	the	DET
flr-675	151	37	effects	effect	NOUN
flr-675	151	38	of	of	ADP
flr-675	151	39	all	all	DET
flr-675	151	40	other	other	ADJ
flr-675	151	41	variables	variable	NOUN
flr-675	151	42	are	be	AUX
flr-675	151	43	held	hold	VERB
flr-675	151	44	constant	constant	ADJ
flr-675	151	45	.	.	PUNCT
flr-675	152	1	finally	finally	ADV
flr-675	152	2	,	,	PUNCT
flr-675	152	3	we	we	PRON
flr-675	152	4	can	can	AUX
flr-675	152	5	check	check	VERB
flr-675	152	6	for	for	ADP
flr-675	152	7	interdependence	interdependence	NOUN
flr-675	152	8	between	between	ADP
flr-675	152	9	covariates	covariate	NOUN
flr-675	152	10	by	by	ADP
flr-675	152	11	checking	check	VERB
flr-675	152	12	whether	whether	SCONJ
flr-675	152	13	covariates	covariate	NOUN
flr-675	152	14	are	be	AUX
flr-675	152	15	correlated	correlate	VERB
flr-675	152	16	,	,	PUNCT
flr-675	152	17	and	and	CCONJ
flr-675	152	18	whether	whether	SCONJ
flr-675	152	19	there	there	PRON
flr-675	152	20	is	be	VERB
flr-675	152	21	evidence	evidence	NOUN
flr-675	152	22	of	of	ADP
flr-675	152	23	multicollinearity	multicollinearity	NOUN
flr-675	152	24	by	by	ADP
flr-675	152	25	running	run	VERB
flr-675	152	26	a	a	DET
flr-675	152	27	linear	linear	ADJ
flr-675	152	28	regression	regression	NOUN
flr-675	152	29	analysis	analysis	NOUN
flr-675	152	30	(	(	PUNCT
flr-675	152	31	included	include	VERB
flr-675	152	32	in	in	ADP
flr-675	152	33	the	the	DET
flr-675	152	34	spss	spss	PROPN
flr-675	152	35	syntax	syntax	NOUN
flr-675	152	36	)	)	PUNCT
flr-675	152	37	to	to	PART
flr-675	152	38	check	check	VERB
flr-675	152	39	tolerance	tolerance	NOUN
flr-675	152	40	and	and	CCONJ
flr-675	152	41	vif	vif	NOUN
flr-675	152	42	values	value	NOUN
flr-675	152	43	.	.	PUNCT
flr-675	153	1	in	in	ADP
flr-675	153	2	this	this	DET
flr-675	153	3	example	example	NOUN
flr-675	153	4	,	,	PUNCT
flr-675	153	5	we	we	PRON
flr-675	153	6	aimed	aim	VERB
flr-675	153	7	to	to	PART
flr-675	153	8	determine	determine	VERB
flr-675	153	9	whether	whether	SCONJ
flr-675	153	10	there	there	PRON
flr-675	153	11	were	be	VERB
flr-675	153	12	continuation	continuation	NOUN
flr-675	153	13	gaps	gap	NOUN
flr-675	153	14	based	base	VERB
flr-675	153	15	on	on	ADP
flr-675	153	16	students	student	NOUN
flr-675	153	17	’	’	PART
flr-675	153	18	background	background	NOUN
flr-675	153	19	groups	group	NOUN
flr-675	153	20	,	,	PUNCT
flr-675	153	21	and	and	CCONJ
flr-675	153	22	whether	whether	SCONJ
flr-675	153	23	a	a	DET
flr-675	153	24	set	set	NOUN
flr-675	153	25	of	of	ADP
flr-675	153	26	micro	micro	ADJ
flr-675	153	27	-	-	NOUN
flr-675	153	28	level	level	ADJ
flr-675	153	29	factors	factor	NOUN
flr-675	153	30	could	could	AUX
flr-675	153	31	predict	predict	VERB
flr-675	153	32	continuation	continuation	NOUN
flr-675	153	33	over	over	ADP
flr-675	153	34	and	and	CCONJ
flr-675	153	35	above	above	ADP
flr-675	153	36	these	these	DET
flr-675	153	37	groups	group	NOUN
flr-675	153	38	.	.	PUNCT
flr-675	154	1	the	the	DET
flr-675	154	2	analysis	analysis	NOUN
flr-675	154	3	of	of	ADP
flr-675	154	4	this	this	DET
flr-675	154	5	hypothetical	hypothetical	ADJ
flr-675	154	6	data	datum	NOUN
flr-675	154	7	set	set	NOUN
flr-675	154	8	indicates	indicate	VERB
flr-675	154	9	that	that	SCONJ
flr-675	154	10	students	student	NOUN
flr-675	154	11	coded	code	VERB
flr-675	154	12	as	as	ADP
flr-675	154	13	group	group	NOUN
flr-675	154	14	0	0	NUM
flr-675	154	15	were	be	AUX
flr-675	154	16	more	more	ADV
flr-675	154	17	likely	likely	ADJ
flr-675	154	18	to	to	PART
flr-675	154	19	drop	drop	VERB
flr-675	154	20	out	out	ADP
flr-675	154	21	than	than	SCONJ
flr-675	154	22	students	student	NOUN
flr-675	154	23	coded	code	VERB
flr-675	154	24	as	as	ADP
flr-675	154	25	group	group	NOUN
flr-675	154	26	1	1	NUM
flr-675	154	27	.	.	PUNCT
flr-675	155	1	however	however	ADV
flr-675	155	2	,	,	PUNCT
flr-675	155	3	this	this	DET
flr-675	155	4	association	association	NOUN
flr-675	155	5	was	be	AUX
flr-675	155	6	not	not	PART
flr-675	155	7	present	present	ADJ
flr-675	155	8	once	once	ADV
flr-675	155	9	taking	take	VERB
flr-675	155	10	into	into	ADP
flr-675	155	11	account	account	NOUN
flr-675	155	12	students	student	NOUN
flr-675	155	13	’	’	PART
flr-675	155	14	entry	entry	NOUN
flr-675	155	15	qualification	qualification	NOUN
flr-675	155	16	and	and	CCONJ
flr-675	155	17	their	their	PRON
flr-675	155	18	sense	sense	NOUN
flr-675	155	19	of	of	ADP
flr-675	155	20	belonging	belong	VERB
flr-675	155	21	to	to	ADP
flr-675	155	22	the	the	DET
flr-675	155	23	university	university	NOUN
flr-675	155	24	,	,	PUNCT
flr-675	155	25	which	which	PRON
flr-675	155	26	better	well	ADV
flr-675	155	27	predicted	predict	VERB
flr-675	155	28	the	the	DET
flr-675	155	29	odds	odd	NOUN
flr-675	155	30	of	of	ADP
flr-675	155	31	students	student	NOUN
flr-675	155	32	dropping	drop	VERB
flr-675	155	33	out	out	ADV
flr-675	155	34	or	or	CCONJ
flr-675	155	35	progressing	progress	VERB
flr-675	155	36	/	/	SYM
flr-675	155	37	completing	completing	NOUN
flr-675	155	38	.	.	PUNCT
flr-675	156	1	3.5	3.5	NUM
flr-675	156	2	tutorial	tutorial	NOUN
flr-675	156	3	3	3	NUM
flr-675	156	4	:	:	PUNCT
flr-675	156	5	illustrative	illustrative	ADJ
flr-675	156	6	example	example	NOUN
flr-675	156	7	of	of	ADP
flr-675	156	8	analysing	analyse	VERB
flr-675	156	9	attainment	attainment	ADJ
flr-675	156	10	gap	gap	NOUN
flr-675	156	11	data	datum	NOUN
flr-675	156	12	measured	measure	VERB
flr-675	156	13	at	at	ADP
flr-675	156	14	a	a	DET
flr-675	156	15	group	group	NOUN
flr-675	156	16	level	level	NOUN
flr-675	156	17	tutorial	tutorial	NOUN
flr-675	156	18	3	3	NUM
flr-675	156	19	presents	present	VERB
flr-675	156	20	an	an	DET
flr-675	156	21	analysis	analysis	NOUN
flr-675	156	22	of	of	ADP
flr-675	156	23	the	the	DET
flr-675	156	24	group_level_attainment_example.sav	group_level_attainment_example.sav	PROPN
flr-675	156	25	spss	spss	PROPN
flr-675	156	26	data	data	PROPN
flr-675	156	27	set	set	PROPN
flr-675	156	28	,	,	PUNCT
flr-675	156	29	which	which	PRON
flr-675	156	30	was	be	AUX
flr-675	156	31	designed	design	VERB
flr-675	156	32	to	to	PART
flr-675	156	33	closely	closely	ADV
flr-675	156	34	approximate	approximate	VERB
flr-675	156	35	what	what	PRON
flr-675	156	36	real	real	ADV
flr-675	156	37	aggregated	aggregate	VERB
flr-675	156	38	student	student	NOUN
flr-675	156	39	data	datum	NOUN
flr-675	156	40	might	might	AUX
flr-675	156	41	look	look	VERB
flr-675	156	42	like	like	ADP
flr-675	156	43	when	when	SCONJ
flr-675	156	44	modelling	model	VERB
flr-675	156	45	attainment	attainment	ADJ
flr-675	156	46	gaps	gap	NOUN
flr-675	156	47	.	.	PUNCT
flr-675	157	1	this	this	DET
flr-675	157	2	hypothetical	hypothetical	ADJ
flr-675	157	3	data	datum	NOUN
flr-675	157	4	set	set	VERB
flr-675	157	5	simulates	simulate	VERB
flr-675	157	6	a	a	DET
flr-675	157	7	range	range	NOUN
flr-675	157	8	of	of	ADP
flr-675	157	9	variables	variable	NOUN
flr-675	157	10	for	for	ADP
flr-675	157	11	a	a	DET
flr-675	157	12	sample	sample	NOUN
flr-675	157	13	of	of	ADP
flr-675	157	14	1056	1056	NUM
flr-675	157	15	modules	module	NOUN
flr-675	157	16	within	within	ADP
flr-675	157	17	40	40	NUM
flr-675	157	18	programmes	programme	NOUN
flr-675	157	19	.	.	PUNCT
flr-675	158	1	the	the	DET
flr-675	158	2	variables	variable	NOUN
flr-675	158	3	are	be	AUX
flr-675	158	4	detailed	detail	VERB
flr-675	158	5	in	in	ADP
flr-675	158	6	table	table	NOUN
flr-675	158	7	3	3	NUM
flr-675	158	8	and	and	CCONJ
flr-675	158	9	include	include	VERB
flr-675	158	10	:	:	PUNCT
flr-675	158	11	average	average	ADJ
flr-675	158	12	grades	grade	NOUN
flr-675	158	13	at	at	ADP
flr-675	158	14	a	a	DET
flr-675	158	15	module	module	NOUN
flr-675	158	16	-	-	PUNCT
flr-675	158	17	level	level	NOUN
flr-675	158	18	for	for	ADP
flr-675	158	19	two	two	NUM
flr-675	158	20	different	different	ADJ
flr-675	158	21	groups	group	NOUN
flr-675	158	22	of	of	ADP
flr-675	158	23	students	student	NOUN
flr-675	158	24	(	(	PUNCT
flr-675	158	25	student	student	NOUN
flr-675	158	26	background	background	NOUN
flr-675	158	27	group	group	NOUN
flr-675	158	28	)	)	PUNCT
flr-675	158	29	,	,	PUNCT
flr-675	158	30	the	the	DET
flr-675	158	31	year	year	NOUN
flr-675	158	32	of	of	ADP
flr-675	158	33	study	study	NOUN
flr-675	158	34	of	of	ADP
flr-675	158	35	the	the	DET
flr-675	158	36	module	module	NOUN
flr-675	158	37	in	in	ADP
flr-675	158	38	the	the	DET
flr-675	158	39	programme	programme	NOUN
flr-675	158	40	,	,	PUNCT
flr-675	158	41	and	and	CCONJ
flr-675	158	42	a	a	DET
flr-675	158	43	set	set	NOUN
flr-675	158	44	of	of	ADP
flr-675	158	45	meso	meso	NOUN
flr-675	158	46	-	-	PUNCT
flr-675	158	47	level	level	NOUN
flr-675	158	48	variables	variable	NOUN
flr-675	158	49	that	that	PRON
flr-675	158	50	may	may	AUX
flr-675	158	51	account	account	VERB
flr-675	158	52	for	for	ADP
flr-675	158	53	differential	differential	ADJ
flr-675	158	54	student	student	NOUN
flr-675	158	55	outcomes	outcome	NOUN
flr-675	158	56	(	(	PUNCT
flr-675	158	57	as	as	SCONJ
flr-675	158	58	influenced	influence	VERB
flr-675	158	59	by	by	ADP
flr-675	158	60	theory	theory	NOUN
flr-675	158	61	)	)	PUNCT
flr-675	158	62	to	to	PART
flr-675	158	63	be	be	AUX
flr-675	158	64	used	use	VERB
flr-675	158	65	as	as	ADP
flr-675	158	66	covariates	covariate	NOUN
flr-675	158	67	.	.	PUNCT
flr-675	159	1	when	when	SCONJ
flr-675	159	2	modelling	model	VERB
flr-675	159	3	attainment	attainment	ADJ
flr-675	159	4	gaps	gap	NOUN
flr-675	159	5	at	at	ADP
flr-675	159	6	an	an	DET
flr-675	159	7	individual	individual	ADJ
flr-675	159	8	level	level	NOUN
flr-675	159	9	(	(	PUNCT
flr-675	159	10	tutorial	tutorial	NOUN
flr-675	159	11	1	1	NUM
flr-675	159	12	)	)	PUNCT
flr-675	159	13	,	,	PUNCT
flr-675	159	14	the	the	DET
flr-675	159	15	outcome	outcome	NOUN
flr-675	159	16	was	be	AUX
flr-675	159	17	students	student	NOUN
flr-675	159	18	’	'	PUNCT
flr-675	159	19	grades	grade	NOUN
flr-675	159	20	and	and	CCONJ
flr-675	159	21	the	the	DET
flr-675	159	22	initial	initial	ADJ
flr-675	159	23	covariate	covariate	NOUN
flr-675	159	24	entered	enter	VERB
flr-675	159	25	in	in	ADP
flr-675	159	26	the	the	DET
flr-675	159	27	analysis	analysis	NOUN
flr-675	159	28	was	be	AUX
flr-675	159	29	the	the	DET
flr-675	159	30	student	student	NOUN
flr-675	159	31	background	background	NOUN
flr-675	159	32	group	group	NOUN
flr-675	159	33	variable	variable	NOUN
flr-675	159	34	.	.	PUNCT
flr-675	160	1	extending	extend	VERB
flr-675	160	2	this	this	PRON
flr-675	160	3	to	to	ADP
flr-675	160	4	a	a	DET
flr-675	160	5	group	group	NOUN
flr-675	160	6	level	level	NOUN
flr-675	160	7	,	,	PUNCT
flr-675	160	8	the	the	DET
flr-675	160	9	difference	difference	NOUN
flr-675	160	10	in	in	ADP
flr-675	160	11	average	average	ADJ
flr-675	160	12	grades	grade	NOUN
flr-675	160	13	between	between	ADP
flr-675	160	14	the	the	DET
flr-675	160	15	two	two	NUM
flr-675	160	16	groups	group	NOUN
flr-675	160	17	for	for	ADP
flr-675	160	18	a	a	DET
flr-675	160	19	particular	particular	ADJ
flr-675	160	20	module	module	NOUN
flr-675	160	21	represents	represent	VERB
flr-675	160	22	an	an	DET
flr-675	160	23	effect	effect	NOUN
flr-675	160	24	size	size	NOUN
flr-675	160	25	5	5	NUM
flr-675	160	26	,	,	PUNCT
flr-675	160	27	so	so	CCONJ
flr-675	160	28	this	this	PRON
flr-675	160	29	is	be	AUX
flr-675	160	30	our	our	PRON
flr-675	160	31	outcome	outcome	NOUN
flr-675	160	32	variable	variable	NOUN
flr-675	160	33	when	when	SCONJ
flr-675	160	34	using	use	VERB
flr-675	160	35	meta	meta	NOUN
flr-675	160	36	-	-	PUNCT
flr-675	160	37	regression	regression	NOUN
flr-675	160	38	.	.	PUNCT
flr-675	161	1	standard	standard	ADJ
flr-675	161	2	meta	meta	ADJ
flr-675	161	3	-	-	PUNCT
flr-675	161	4	analytic	analytic	ADJ
flr-675	161	5	techniques	technique	NOUN
flr-675	161	6	are	be	AUX
flr-675	161	7	predicated	predicate	VERB
flr-675	161	8	on	on	ADP
flr-675	161	9	the	the	DET
flr-675	161	10	assumption	assumption	NOUN
flr-675	161	11	that	that	SCONJ
flr-675	161	12	effect	effect	NOUN
flr-675	161	13	sizes	size	NOUN
flr-675	161	14	are	be	AUX
flr-675	161	15	independent	independent	ADJ
flr-675	161	16	(	(	PUNCT
flr-675	161	17	cheung	cheung	PROPN
flr-675	161	18	,	,	PUNCT
flr-675	161	19	2019	2019	NUM
flr-675	161	20	)	)	PUNCT
flr-675	161	21	.	.	PUNCT
flr-675	162	1	however	however	ADV
flr-675	162	2	,	,	PUNCT
flr-675	162	3	effect	effect	NOUN
flr-675	162	4	sizes	size	NOUN
flr-675	162	5	for	for	ADP
flr-675	162	6	each	each	DET
flr-675	162	7	module	module	NOUN
flr-675	162	8	are	be	AUX
flr-675	162	9	likely	likely	ADJ
flr-675	162	10	to	to	PART
flr-675	162	11	be	be	AUX
flr-675	162	12	dependent	dependent	ADJ
flr-675	162	13	because	because	SCONJ
flr-675	162	14	grades	grade	NOUN
flr-675	162	15	for	for	ADP
flr-675	162	16	each	each	DET
flr-675	162	17	module	module	NOUN
flr-675	162	18	will	will	AUX
flr-675	162	19	include	include	VERB
flr-675	162	20	the	the	DET
flr-675	162	21	same	same	ADJ
flr-675	162	22	students	student	NOUN
flr-675	162	23	across	across	ADP
flr-675	162	24	a	a	DET
flr-675	162	25	programme	programme	NOUN
flr-675	162	26	,	,	PUNCT
flr-675	162	27	known	know	VERB
flr-675	162	28	as	as	ADP
flr-675	162	29	correlated	correlate	VERB
flr-675	162	30	effects	effect	NOUN
flr-675	162	31	(	(	PUNCT
flr-675	162	32	hedges	hedge	NOUN
flr-675	162	33	et	et	PROPN
flr-675	162	34	al	al	PROPN
flr-675	162	35	.	.	PROPN
flr-675	162	36	,	,	PUNCT
flr-675	162	37	2010	2010	NUM
flr-675	162	38	;	;	PUNCT
flr-675	162	39	tipton	tipton	PROPN
flr-675	162	40	&	&	CCONJ
flr-675	162	41	pustejovsky	pustejovsky	PROPN
flr-675	162	42	,	,	PUNCT
flr-675	162	43	2015	2015	NUM
flr-675	162	44	)	)	PUNCT
flr-675	162	45	.	.	PUNCT
flr-675	163	1	robust	robust	ADJ
flr-675	163	2	variance	variance	NOUN
flr-675	163	3	estimation	estimation	NOUN
flr-675	163	4	(	(	PUNCT
flr-675	163	5	rve	rve	PROPN
flr-675	163	6	)	)	PUNCT
flr-675	163	7	can	can	AUX
flr-675	163	8	be	be	AUX
flr-675	163	9	used	use	VERB
flr-675	163	10	in	in	ADP
flr-675	163	11	meta	meta	ADJ
flr-675	163	12	-	-	PUNCT
flr-675	163	13	regression	regression	NOUN
flr-675	163	14	analyses	analysis	NOUN
flr-675	163	15	to	to	PART
flr-675	163	16	correct	correct	VERB
flr-675	163	17	for	for	ADP
flr-675	163	18	correlated	correlate	VERB
flr-675	163	19	estimates	estimate	NOUN
flr-675	163	20	(	(	PUNCT
flr-675	163	21	hedges	hedge	NOUN
flr-675	163	22	et	et	PROPN
flr-675	163	23	al	al	PROPN
flr-675	163	24	.	.	PROPN
flr-675	163	25	,	,	PUNCT
flr-675	163	26	2010)6	2010)6	PROPN
flr-675	163	27	.	.	PUNCT
flr-675	164	1	meta	meta	ADJ
flr-675	164	2	-	-	PUNCT
flr-675	164	3	analyses	analysis	NOUN
flr-675	164	4	using	use	VERB
flr-675	164	5	rve	rve	NOUN
flr-675	164	6	with	with	ADP
flr-675	164	7	fewer	few	ADJ
flr-675	164	8	than	than	ADP
flr-675	164	9	40	40	NUM
flr-675	164	10	studies	study	NOUN
flr-675	164	11	may	may	AUX
flr-675	164	12	produce	produce	VERB
flr-675	164	13	overly	overly	ADV
flr-675	164	14	narrow	narrow	ADJ
flr-675	164	15	confidence	confidence	NOUN
flr-675	164	16	intervals	interval	NOUN
flr-675	164	17	(	(	PUNCT
flr-675	164	18	tanner	tanner	NOUN
flr-675	164	19	-	-	PUNCT
flr-675	164	20	smith	smith	PROPN
flr-675	164	21	&	&	CCONJ
flr-675	164	22	tipton	tipton	PROPN
flr-675	164	23	,	,	PUNCT
flr-675	164	24	2014	2014	NUM
flr-675	164	25	)	)	PUNCT
flr-675	164	26	,	,	PUNCT
flr-675	164	27	so	so	ADV
flr-675	164	28	we	we	PRON
flr-675	164	29	recommend	recommend	VERB
flr-675	164	30	that	that	SCONJ
flr-675	164	31	analyses	analysis	NOUN
flr-675	164	32	include	include	VERB
flr-675	164	33	at	at	ADV
flr-675	164	34	least	least	ADV
flr-675	164	35	40	40	NUM
flr-675	164	36	programmes	programme	NOUN
flr-675	164	37	.	.	PUNCT
flr-675	165	1	7	7	NUM
flr-675	165	2	consideration	consideration	NOUN
flr-675	165	3	should	should	AUX
flr-675	165	4	also	also	ADV
flr-675	165	5	be	be	AUX
flr-675	165	6	given	give	VERB
flr-675	165	7	to	to	ADP
flr-675	165	8	the	the	DET
flr-675	165	9	inclusion	inclusion	NOUN
flr-675	165	10	of	of	ADP
flr-675	165	11	modules	module	NOUN
flr-675	165	12	with	with	ADP
flr-675	165	13	very	very	ADV
flr-675	165	14	few	few	ADJ
flr-675	165	15	students	student	NOUN
flr-675	165	16	from	from	ADP
flr-675	165	17	a	a	DET
flr-675	165	18	particular	particular	ADJ
flr-675	165	19	background	background	NOUN
flr-675	165	20	group	group	NOUN
flr-675	165	21	,	,	PUNCT
flr-675	165	22	because	because	SCONJ
flr-675	165	23	effect	effect	NOUN
flr-675	165	24	sizes	size	NOUN
flr-675	165	25	based	base	VERB
flr-675	165	26	on	on	ADP
flr-675	165	27	small	small	ADJ
flr-675	165	28	sample	sample	NOUN
flr-675	165	29	sizes	size	NOUN
flr-675	165	30	could	could	AUX
flr-675	165	31	artificially	artificially	ADV
flr-675	165	32	inflate	inflate	VERB
flr-675	165	33	the	the	DET
flr-675	165	34	size	size	NOUN
flr-675	165	35	of	of	ADP
flr-675	165	36	gaps	gap	NOUN
flr-675	165	37	.	.	PUNCT
flr-675	166	1	one	one	NUM
flr-675	166	2	way	way	NOUN
flr-675	166	3	to	to	PART
flr-675	166	4	check	check	VERB
flr-675	166	5	for	for	ADP
flr-675	166	6	this	this	PRON
flr-675	166	7	is	be	AUX
flr-675	166	8	to	to	PART
flr-675	166	9	perform	perform	VERB
flr-675	166	10	sensitivity	sensitivity	NOUN
flr-675	166	11	analyses	analysis	NOUN
flr-675	166	12	,	,	PUNCT
flr-675	166	13	which	which	PRON
flr-675	166	14	involves	involve	VERB
flr-675	166	15	running	run	VERB
flr-675	166	16	analyses	analysis	NOUN
flr-675	166	17	with	with	ADP
flr-675	166	18	and	and	CCONJ
flr-675	166	19	without	without	ADP
flr-675	166	20	the	the	DET
flr-675	166	21	data	datum	NOUN
flr-675	166	22	from	from	ADP
flr-675	166	23	particular	particular	ADJ
flr-675	166	24	modules	module	NOUN
flr-675	166	25	to	to	PART
flr-675	166	26	see	see	VERB
flr-675	166	27	whether	whether	SCONJ
flr-675	166	28	their	their	PRON
flr-675	166	29	inclusion	inclusion	NOUN
flr-675	166	30	appears	appear	VERB
flr-675	166	31	to	to	PART
flr-675	166	32	bias	bias	VERB
flr-675	166	33	the	the	DET
flr-675	166	34	results	result	NOUN
flr-675	166	35	.	.	PUNCT
flr-675	167	1	since	since	SCONJ
flr-675	167	2	we	we	PRON
flr-675	167	3	are	be	AUX
flr-675	167	4	focusing	focus	VERB
flr-675	167	5	on	on	ADP
flr-675	167	6	explaining	explain	VERB
flr-675	167	7	the	the	DET
flr-675	167	8	attainment	attainment	ADJ
flr-675	167	9	gaps	gap	NOUN
flr-675	167	10	themselves	themselves	PRON
flr-675	167	11	,	,	PUNCT
flr-675	167	12	the	the	DET
flr-675	167	13	question	question	NOUN
flr-675	167	14	we	we	PRON
flr-675	167	15	aim	aim	VERB
flr-675	167	16	to	to	PART
flr-675	167	17	answer	answer	VERB
flr-675	167	18	in	in	ADP
flr-675	167	19	this	this	DET
flr-675	167	20	tutorial	tutorial	NOUN
flr-675	167	21	is	be	AUX
flr-675	167	22	:	:	PUNCT
flr-675	167	23	are	be	AUX
flr-675	167	24	there	there	PRON
flr-675	167	25	attainment	attainment	ADJ
flr-675	167	26	gaps	gap	NOUN
flr-675	167	27	based	base	VERB
flr-675	167	28	on	on	ADP
flr-675	167	29	the	the	DET
flr-675	167	30	students	student	NOUN
flr-675	167	31	’	’	PART
flr-675	167	32	background	background	NOUN
flr-675	167	33	groups	group	NOUN
flr-675	167	34	,	,	PUNCT
flr-675	167	35	and	and	CCONJ
flr-675	167	36	can	can	AUX
flr-675	167	37	a	a	DET
flr-675	167	38	set	set	NOUN
flr-675	167	39	of	of	ADP
flr-675	167	40	meso	meso	NOUN
flr-675	167	41	-	-	PUNCT
flr-675	167	42	level	level	NOUN
flr-675	167	43	factors	factor	NOUN
flr-675	167	44	predict	predict	VERB
flr-675	167	45	these	these	DET
flr-675	167	46	gaps	gap	NOUN
flr-675	167	47	?	?	PUNCT
flr-675	168	1	for	for	ADP
flr-675	168	2	tutorial	tutorial	NOUN
flr-675	168	3	3	3	NUM
flr-675	168	4	,	,	PUNCT
flr-675	168	5	we	we	PRON
flr-675	168	6	performed	perform	VERB
flr-675	168	7	a	a	DET
flr-675	168	8	meta	meta	ADJ
flr-675	168	9	-	-	PUNCT
flr-675	168	10	regression	regression	NOUN
flr-675	168	11	analysis	analysis	NOUN
flr-675	168	12	using	use	VERB
flr-675	168	13	rve	rve	PROPN
flr-675	168	14	with	with	ADP
flr-675	168	15	correlated	correlate	VERB
flr-675	168	16	effects	effect	NOUN
flr-675	168	17	weights	weight	NOUN
flr-675	168	18	.	.	PUNCT
flr-675	169	1	the	the	DET
flr-675	169	2	background	background	NOUN
flr-675	169	3	group	group	NOUN
flr-675	169	4	variable	variable	NOUN
flr-675	169	5	does	do	AUX
flr-675	169	6	not	not	PART
flr-675	169	7	need	need	VERB
flr-675	169	8	to	to	PART
flr-675	169	9	be	be	AUX
flr-675	169	10	entered	enter	VERB
flr-675	169	11	into	into	ADP
flr-675	169	12	the	the	DET
flr-675	169	13	analysis	analysis	NOUN
flr-675	169	14	as	as	ADP
flr-675	169	15	a	a	DET
flr-675	169	16	separate	separate	ADJ
flr-675	169	17	variable	variable	NOUN
flr-675	169	18	,	,	PUNCT
flr-675	169	19	so	so	CCONJ
flr-675	169	20	no	no	DET
flr-675	169	21	covariates	covariate	NOUN
flr-675	169	22	were	be	AUX
flr-675	169	23	included	include	VERB
flr-675	169	24	in	in	ADP
flr-675	169	25	the	the	DET
flr-675	169	26	first	first	ADJ
flr-675	169	27	model	model	NOUN
flr-675	169	28	.	.	PUNCT
flr-675	170	1	this	this	DET
flr-675	170	2	intercept	intercept	NOUN
flr-675	170	3	-	-	PUNCT
flr-675	170	4	only	only	ADJ
flr-675	170	5	model	model	NOUN
flr-675	170	6	therefore	therefore	ADV
flr-675	170	7	tested	test	VERB
flr-675	170	8	whether	whether	SCONJ
flr-675	170	9	there	there	PRON
flr-675	170	10	was	be	VERB
flr-675	170	11	a	a	DET
flr-675	170	12	significant	significant	ADJ
flr-675	170	13	attainment	attainment	ADJ
flr-675	170	14	gap	gap	NOUN
flr-675	170	15	between	between	ADP
flr-675	170	16	the	the	DET
flr-675	170	17	two	two	NUM
flr-675	170	18	student	student	NOUN
flr-675	170	19	groups	group	NOUN
flr-675	170	20	(	(	PUNCT
flr-675	170	21	model	model	NOUN
flr-675	170	22	1	1	NUM
flr-675	170	23	)	)	PUNCT
flr-675	170	24	,	,	PUNCT
flr-675	170	25	equivalent	equivalent	ADJ
flr-675	170	26	to	to	ADP
flr-675	170	27	the	the	DET
flr-675	170	28	first	first	ADJ
flr-675	170	29	model	model	NOUN
flr-675	170	30	in	in	ADP
flr-675	170	31	tutorial	tutorial	NOUN
flr-675	170	32	1	1	NUM
flr-675	170	33	.	.	PUNCT
flr-675	170	34	before	before	ADP
flr-675	170	35	entering	enter	VERB
flr-675	170	36	any	any	PRON
flr-675	170	37	of	of	ADP
flr-675	170	38	the	the	DET
flr-675	170	39	covariates	covariate	NOUN
flr-675	170	40	8	8	NUM
flr-675	170	41	into	into	ADP
flr-675	170	42	the	the	DET
flr-675	170	43	analysis	analysis	NOUN
flr-675	170	44	we	we	PRON
flr-675	170	45	needed	need	VERB
flr-675	170	46	to	to	PART
flr-675	170	47	code	code	VERB
flr-675	170	48	whether	whether	SCONJ
flr-675	170	49	values	value	NOUN
flr-675	170	50	of	of	ADP
flr-675	170	51	covariates	covariate	NOUN
flr-675	170	52	can	can	AUX
flr-675	170	53	differ	differ	VERB
flr-675	170	54	within	within	ADP
flr-675	170	55	a	a	DET
flr-675	170	56	programme	programme	NOUN
flr-675	170	57	(	(	PUNCT
flr-675	170	58	i.e.	i.e.	X
flr-675	170	59	values	value	NOUN
flr-675	170	60	differ	differ	VERB
flr-675	170	61	between	between	ADP
flr-675	170	62	modules	module	NOUN
flr-675	170	63	within	within	ADP
flr-675	170	64	a	a	DET
flr-675	170	65	programme	programme	NOUN
flr-675	170	66	)	)	PUNCT
flr-675	170	67	or	or	CCONJ
flr-675	170	68	only	only	ADV
flr-675	170	69	between	between	ADP
flr-675	170	70	programmes	programme	NOUN
flr-675	170	71	(	(	PUNCT
flr-675	170	72	i.e.	i.e.	X
flr-675	170	73	values	value	NOUN
flr-675	170	74	are	be	AUX
flr-675	170	75	the	the	DET
flr-675	170	76	same	same	ADJ
flr-675	170	77	for	for	ADP
flr-675	170	78	all	all	DET
flr-675	170	79	modules	module	NOUN
flr-675	170	80	within	within	ADP
flr-675	170	81	a	a	DET
flr-675	170	82	programme	programme	NOUN
flr-675	170	83	)	)	PUNCT
flr-675	170	84	.	.	PUNCT
flr-675	171	1	in	in	ADP
flr-675	171	2	the	the	DET
flr-675	171	3	current	current	ADJ
flr-675	171	4	example	example	NOUN
flr-675	171	5	,	,	PUNCT
flr-675	171	6	the	the	DET
flr-675	171	7	attendance	attendance	NOUN
flr-675	171	8	variable	variable	NOUN
flr-675	171	9	could	could	AUX
flr-675	171	10	only	only	ADV
flr-675	171	11	differ	differ	VERB
flr-675	171	12	between	between	ADP
flr-675	171	13	programmes	programme	NOUN
flr-675	171	14	(	(	PUNCT
flr-675	171	15	i.e.	i.e.	X
flr-675	171	16	all	all	DET
flr-675	171	17	modules	module	NOUN
flr-675	171	18	within	within	ADP
flr-675	171	19	a	a	DET
flr-675	171	20	programme	programme	NOUN
flr-675	171	21	took	take	VERB
flr-675	171	22	on	on	ADP
flr-675	171	23	the	the	DET
flr-675	171	24	same	same	ADJ
flr-675	171	25	value	value	NOUN
flr-675	171	26	)	)	PUNCT
flr-675	171	27	,	,	PUNCT
flr-675	171	28	so	so	CCONJ
flr-675	171	29	this	this	DET
flr-675	171	30	variable	variable	NOUN
flr-675	171	31	could	could	AUX
flr-675	171	32	be	be	AUX
flr-675	171	33	included	include	VERB
flr-675	171	34	in	in	ADP
flr-675	171	35	the	the	DET
flr-675	171	36	analysis	analysis	NOUN
flr-675	171	37	as	as	SCONJ
flr-675	171	38	it	it	PRON
flr-675	171	39	is	be	AUX
flr-675	171	40	.	.	PUNCT
flr-675	172	1	however	however	ADV
flr-675	172	2	,	,	PUNCT
flr-675	172	3	the	the	DET
flr-675	172	4	following	follow	VERB
flr-675	172	5	covariates	covariate	NOUN
flr-675	172	6	had	have	VERB
flr-675	172	7	the	the	DET
flr-675	172	8	potential	potential	NOUN
flr-675	172	9	to	to	PART
flr-675	172	10	take	take	VERB
flr-675	172	11	on	on	ADP
flr-675	172	12	different	different	ADJ
flr-675	172	13	values	value	NOUN
flr-675	172	14	across	across	ADP
flr-675	172	15	modules	module	NOUN
flr-675	172	16	within	within	ADP
flr-675	172	17	a	a	DET
flr-675	172	18	single	single	ADJ
flr-675	172	19	programme	programme	NOUN
flr-675	172	20	:	:	PUNCT
flr-675	172	21	year	year	NOUN
flr-675	172	22	of	of	ADP
flr-675	172	23	study	study	NOUN
flr-675	172	24	of	of	ADP
flr-675	172	25	the	the	DET
flr-675	172	26	module	module	NOUN
flr-675	172	27	in	in	ADP
flr-675	172	28	the	the	DET
flr-675	172	29	programme	programme	NOUN
flr-675	172	30	(	(	PUNCT
flr-675	172	31	because	because	SCONJ
flr-675	172	32	each	each	DET
flr-675	172	33	programme	programme	NOUN
flr-675	172	34	included	include	VERB
flr-675	172	35	modules	module	NOUN
flr-675	172	36	across	across	ADP
flr-675	172	37	years	year	NOUN
flr-675	172	38	1	1	NUM
flr-675	172	39	,	,	PUNCT
flr-675	172	40	2	2	NUM
flr-675	172	41	or	or	CCONJ
flr-675	172	42	3	3	NUM
flr-675	172	43	)	)	PUNCT
flr-675	172	44	,	,	PUNCT
flr-675	172	45	number	number	NOUN
flr-675	172	46	of	of	ADP
flr-675	172	47	assessment	assessment	NOUN
flr-675	172	48	components	component	NOUN
flr-675	172	49	,	,	PUNCT
flr-675	172	50	and	and	CCONJ
flr-675	172	51	percentage	percentage	NOUN
flr-675	172	52	of	of	ADP
flr-675	172	53	independent	independent	ADJ
flr-675	172	54	study	study	NOUN
flr-675	172	55	time	time	NOUN
flr-675	172	56	expected	expect	VERB
flr-675	172	57	of	of	ADP
flr-675	172	58	students	student	NOUN
flr-675	172	59	.	.	PUNCT
flr-675	173	1	therefore	therefore	ADV
flr-675	173	2	,	,	PUNCT
flr-675	173	3	new	new	ADJ
flr-675	173	4	variables	variable	NOUN
flr-675	173	5	needed	need	VERB
flr-675	173	6	to	to	PART
flr-675	173	7	be	be	AUX
flr-675	173	8	created	create	VERB
flr-675	173	9	in	in	ADP
flr-675	173	10	spss	spss	PROPN
flr-675	173	11	to	to	PART
flr-675	173	12	average	average	VERB
flr-675	173	13	the	the	DET
flr-675	173	14	scores	score	NOUN
flr-675	173	15	for	for	ADP
flr-675	173	16	these	these	DET
flr-675	173	17	covariates	covariate	NOUN
flr-675	173	18	across	across	ADP
flr-675	173	19	all	all	DET
flr-675	173	20	modules	module	NOUN
flr-675	173	21	within	within	ADP
flr-675	173	22	a	a	DET
flr-675	173	23	programme	programme	NOUN
flr-675	173	24	(	(	PUNCT
flr-675	173	25	programme	programme	NOUN
flr-675	173	26	-	-	PUNCT
flr-675	173	27	mean	mean	NOUN
flr-675	173	28	values	value	NOUN
flr-675	173	29	for	for	SCONJ
flr-675	173	30	each	each	DET
flr-675	173	31	variable	variable	NOUN
flr-675	173	32	to	to	PART
flr-675	173	33	model	model	VERB
flr-675	173	34	between	between	ADP
flr-675	173	35	-	-	PUNCT
flr-675	173	36	programme	programme	NOUN
flr-675	173	37	effects	effect	NOUN
flr-675	173	38	)	)	PUNCT
flr-675	173	39	and	and	CCONJ
flr-675	173	40	to	to	PART
flr-675	173	41	center	center	VERB
flr-675	173	42	these	these	DET
flr-675	173	43	covariate	covariate	ADJ
flr-675	173	44	scores	score	NOUN
flr-675	173	45	around	around	ADP
flr-675	173	46	the	the	DET
flr-675	173	47	programme	programme	NOUN
flr-675	173	48	-	-	PUNCT
flr-675	173	49	mean	mean	NOUN
flr-675	173	50	(	(	PUNCT
flr-675	173	51	to	to	PART
flr-675	173	52	model	model	VERB
flr-675	173	53	within	within	ADP
flr-675	173	54	-	-	PUNCT
flr-675	173	55	programme	programme	NOUN
flr-675	173	56	/	/	SYM
flr-675	173	57	between	between	ADP
flr-675	173	58	-	-	PUNCT
flr-675	173	59	module	module	NOUN
flr-675	173	60	effects	effect	NOUN
flr-675	173	61	)	)	PUNCT
flr-675	173	62	.	.	PUNCT
flr-675	174	1	this	this	PRON
flr-675	174	2	is	be	AUX
flr-675	174	3	an	an	DET
flr-675	174	4	important	important	ADJ
flr-675	174	5	step	step	NOUN
flr-675	174	6	,	,	PUNCT
flr-675	174	7	because	because	SCONJ
flr-675	174	8	it	it	PRON
flr-675	174	9	separates	separate	VERB
flr-675	174	10	out	out	ADP
flr-675	174	11	betweenand	betweenand	NOUN
flr-675	174	12	within	within	ADP
flr-675	174	13	-	-	PUNCT
flr-675	174	14	effects	effect	NOUN
flr-675	174	15	to	to	PART
flr-675	174	16	aid	aid	VERB
flr-675	174	17	the	the	DET
flr-675	174	18	interpretation	interpretation	NOUN
flr-675	174	19	of	of	ADP
flr-675	174	20	covariate	covariate	ADJ
flr-675	174	21	effects	effect	NOUN
flr-675	174	22	(	(	PUNCT
flr-675	174	23	tanner	tanner	NOUN
flr-675	174	24	-	-	PUNCT
flr-675	174	25	smith	smith	PROPN
flr-675	174	26	&	&	CCONJ
flr-675	174	27	tipton	tipton	PROPN
flr-675	174	28	,	,	PUNCT
flr-675	174	29	2014	2014	NUM
flr-675	174	30	)	)	PUNCT
flr-675	174	31	.	.	PUNCT
flr-675	175	1	we	we	PRON
flr-675	175	2	then	then	ADV
flr-675	175	3	entered	enter	VERB
flr-675	175	4	all	all	DET
flr-675	175	5	covariates	covariate	NOUN
flr-675	175	6	into	into	ADP
flr-675	175	7	model	model	NOUN
flr-675	175	8	29	29	NUM
flr-675	175	9	.	.	PUNCT
flr-675	176	1	these	these	PRON
flr-675	176	2	included	include	VERB
flr-675	176	3	:	:	PUNCT
flr-675	176	4	year	year	NOUN
flr-675	176	5	of	of	ADP
flr-675	176	6	study	study	NOUN
flr-675	176	7	of	of	ADP
flr-675	176	8	the	the	DET
flr-675	176	9	module	module	NOUN
flr-675	176	10	,	,	PUNCT
flr-675	176	11	number	number	NOUN
flr-675	176	12	of	of	ADP
flr-675	176	13	assessment	assessment	NOUN
flr-675	176	14	components	component	NOUN
flr-675	176	15	,	,	PUNCT
flr-675	176	16	the	the	DET
flr-675	176	17	percentage	percentage	NOUN
flr-675	176	18	of	of	ADP
flr-675	176	19	independent	independent	ADJ
flr-675	176	20	study	study	NOUN
flr-675	176	21	time	time	NOUN
flr-675	176	22	,	,	PUNCT
flr-675	176	23	and	and	CCONJ
flr-675	176	24	the	the	DET
flr-675	176	25	attendance	attendance	NOUN
flr-675	176	26	variable	variable	NOUN
flr-675	176	27	.	.	PUNCT
flr-675	177	1	we	we	PRON
flr-675	177	2	also	also	ADV
flr-675	177	3	needed	need	VERB
flr-675	177	4	to	to	PART
flr-675	177	5	specify	specify	VERB
flr-675	177	6	a	a	DET
flr-675	177	7	rho	rho	ADJ
flr-675	177	8	value	value	NOUN
flr-675	177	9	to	to	PART
flr-675	177	10	represent	represent	VERB
flr-675	177	11	the	the	DET
flr-675	177	12	estimated	estimate	VERB
flr-675	177	13	size	size	NOUN
flr-675	177	14	of	of	ADP
flr-675	177	15	intercorrelations	intercorrelation	NOUN
flr-675	177	16	expected	expect	VERB
flr-675	177	17	between	between	ADP
flr-675	177	18	effect	effect	NOUN
flr-675	177	19	sizes	size	NOUN
flr-675	177	20	within	within	ADP
flr-675	177	21	a	a	DET
flr-675	177	22	programme	programme	NOUN
flr-675	177	23	.	.	PUNCT
flr-675	178	1	rho	rho	ADJ
flr-675	178	2	values	value	NOUN
flr-675	178	3	range	range	VERB
flr-675	178	4	between	between	ADP
flr-675	178	5	0	0	NUM
flr-675	178	6	and	and	CCONJ
flr-675	178	7	1	1	NUM
flr-675	178	8	,	,	PUNCT
flr-675	178	9	with	with	ADP
flr-675	178	10	higher	high	ADJ
flr-675	178	11	values	value	NOUN
flr-675	178	12	indicating	indicate	VERB
flr-675	178	13	greater	great	ADJ
flr-675	178	14	dependence	dependence	NOUN
flr-675	178	15	.	.	PUNCT
flr-675	179	1	as	as	SCONJ
flr-675	179	2	this	this	DET
flr-675	179	3	value	value	NOUN
flr-675	179	4	is	be	AUX
flr-675	179	5	only	only	ADV
flr-675	179	6	an	an	DET
flr-675	179	7	estimate	estimate	NOUN
flr-675	179	8	of	of	ADP
flr-675	179	9	dependency	dependency	NOUN
flr-675	179	10	,	,	PUNCT
flr-675	179	11	we	we	PRON
flr-675	179	12	used	use	VERB
flr-675	179	13	a	a	DET
flr-675	179	14	conservative	conservative	ADJ
flr-675	179	15	rho	rho	ADJ
flr-675	179	16	value	value	NOUN
flr-675	179	17	of	of	ADP
flr-675	179	18	.80	.80	NUM
flr-675	179	19	.	.	PUNCT
flr-675	179	20	table	table	NOUN
flr-675	179	21	3	3	NUM
flr-675	179	22	variables	variable	NOUN
flr-675	179	23	included	include	VERB
flr-675	179	24	in	in	ADP
flr-675	179	25	group_level_attainment_example.sav	group_level_attainment_example.sav	PROPN
flr-675	179	26	spss	spss	PROPN
flr-675	179	27	data	data	PROPN
flr-675	179	28	set	set	VERB
flr-675	179	29	the	the	DET
flr-675	179	30	group_level_attainment.sps	group_level_attainment.sps	PROPN
flr-675	179	31	spss	spss	PROPN
flr-675	179	32	syntax	syntax	NOUN
flr-675	179	33	file	file	NOUN
flr-675	179	34	includes	include	VERB
flr-675	179	35	the	the	DET
flr-675	179	36	code	code	NOUN
flr-675	179	37	for	for	ADP
flr-675	179	38	all	all	DET
flr-675	179	39	stages	stage	NOUN
flr-675	179	40	of	of	ADP
flr-675	179	41	this	this	DET
flr-675	179	42	analysis	analysis	NOUN
flr-675	179	43	,	,	PUNCT
flr-675	179	44	including	include	VERB
flr-675	179	45	the	the	DET
flr-675	179	46	creation	creation	NOUN
flr-675	179	47	of	of	ADP
flr-675	179	48	new	new	ADJ
flr-675	179	49	covariate	covariate	ADJ
flr-675	179	50	variables	variable	NOUN
flr-675	179	51	with	with	ADP
flr-675	179	52	centered	center	VERB
flr-675	179	53	and	and	CCONJ
flr-675	179	54	mean	mean	ADJ
flr-675	179	55	scores	score	NOUN
flr-675	179	56	.	.	PUNCT
flr-675	180	1	the	the	DET
flr-675	180	2	freely	freely	ADV
flr-675	180	3	available	available	ADJ
flr-675	180	4	rve	rve	PROPN
flr-675	180	5	meta	meta	X
flr-675	180	6	-	-	PUNCT
flr-675	180	7	regression	regression	NOUN
flr-675	180	8	spss	spss	PROPN
flr-675	180	9	macro	macro	ADJ
flr-675	180	10	file	file	NOUN
flr-675	180	11	,	,	PUNCT
flr-675	180	12	robustmeta.sps	robustmeta.sps	X
flr-675	180	13	(	(	PUNCT
flr-675	180	14	tanner	tanner	NOUN
flr-675	180	15	-	-	PUNCT
flr-675	180	16	smith	smith	PROPN
flr-675	180	17	&	&	CCONJ
flr-675	180	18	tipton	tipton	PROPN
flr-675	180	19	,	,	PUNCT
flr-675	180	20	2014)10	2014)10	NUM
flr-675	180	21	,	,	PUNCT
flr-675	180	22	should	should	AUX
flr-675	180	23	be	be	AUX
flr-675	180	24	saved	save	VERB
flr-675	180	25	on	on	ADP
flr-675	180	26	the	the	DET
flr-675	180	27	computer	computer	NOUN
flr-675	180	28	that	that	PRON
flr-675	180	29	will	will	AUX
flr-675	180	30	be	be	AUX
flr-675	180	31	used	use	VERB
flr-675	180	32	for	for	ADP
flr-675	180	33	performing	perform	VERB
flr-675	180	34	analyses	analysis	NOUN
flr-675	180	35	prior	prior	ADV
flr-675	180	36	to	to	ADP
flr-675	180	37	running	run	VERB
flr-675	180	38	any	any	DET
flr-675	180	39	spss	spss	ADJ
flr-675	180	40	syntax	syntax	NOUN
flr-675	180	41	files	file	NOUN
flr-675	180	42	,	,	PUNCT
flr-675	180	43	and	and	CCONJ
flr-675	180	44	the	the	DET
flr-675	180	45	file	file	NOUN
flr-675	180	46	path	path	NOUN
flr-675	180	47	for	for	ADP
flr-675	180	48	where	where	SCONJ
flr-675	180	49	this	this	DET
flr-675	180	50	macro	macro	NOUN
flr-675	180	51	is	be	AUX
flr-675	180	52	saved	save	VERB
flr-675	180	53	needs	need	NOUN
flr-675	180	54	to	to	PART
flr-675	180	55	be	be	AUX
flr-675	180	56	added	add	VERB
flr-675	180	57	to	to	ADP
flr-675	180	58	the	the	DET
flr-675	180	59	syntax	syntax	NOUN
flr-675	180	60	,	,	PUNCT
flr-675	180	61	as	as	SCONJ
flr-675	180	62	noted	note	VERB
flr-675	180	63	in	in	ADP
flr-675	180	64	the	the	DET
flr-675	180	65	syntax	syntax	NOUN
flr-675	180	66	instructions	instruction	NOUN
flr-675	180	67	.	.	PUNCT
flr-675	181	1	figure	figure	VERB
flr-675	181	2	7	7	NUM
flr-675	181	3	displays	display	NOUN
flr-675	181	4	the	the	DET
flr-675	181	5	spss	spss	ADJ
flr-675	181	6	output	output	NOUN
flr-675	181	7	for	for	ADP
flr-675	181	8	the	the	DET
flr-675	181	9	model	model	NOUN
flr-675	181	10	that	that	PRON
flr-675	181	11	did	do	AUX
flr-675	181	12	not	not	PART
flr-675	181	13	include	include	VERB
flr-675	181	14	any	any	DET
flr-675	181	15	covariates	covariate	NOUN
flr-675	181	16	.	.	PUNCT
flr-675	182	1	figure	figure	VERB
flr-675	182	2	7	7	NUM
flr-675	182	3	.	.	PUNCT
flr-675	182	4	spss	spss	ADJ
flr-675	182	5	output	output	NOUN
flr-675	182	6	of	of	ADP
flr-675	182	7	the	the	DET
flr-675	182	8	intercept	intercept	NOUN
flr-675	182	9	-	-	PUNCT
flr-675	182	10	only	only	ADV
flr-675	182	11	model	model	NOUN
flr-675	182	12	(	(	PUNCT
flr-675	182	13	model	model	NOUN
flr-675	182	14	1	1	NUM
flr-675	182	15	)	)	PUNCT
flr-675	182	16	from	from	ADP
flr-675	182	17	meta	meta	ADJ
flr-675	182	18	-	-	PUNCT
flr-675	182	19	regression	regression	NOUN
flr-675	182	20	analysis	analysis	NOUN
flr-675	182	21	of	of	ADP
flr-675	182	22	group_level_attainment_example.sav	group_level_attainment_example.sav	NOUN
flr-675	182	23	data	datum	NOUN
flr-675	182	24	set	set	VERB
flr-675	182	25	using	use	VERB
flr-675	182	26	group_level_attainment.sps	group_level_attainment.sp	NOUN
flr-675	182	27	syntax	syntax	NOUN
flr-675	182	28	in	in	ADP
flr-675	182	29	figure	figure	NOUN
flr-675	182	30	7	7	NUM
flr-675	182	31	,	,	PUNCT
flr-675	182	32	the	the	DET
flr-675	182	33	b	b	NOUN
flr-675	182	34	-	-	PUNCT
flr-675	182	35	value	value	NOUN
flr-675	182	36	for	for	ADP
flr-675	182	37	the	the	DET
flr-675	182	38	constant	constant	ADJ
flr-675	182	39	(	(	PUNCT
flr-675	182	40	labelled	label	VERB
flr-675	182	41	as	as	ADP
flr-675	182	42	coef	coef	PROPN
flr-675	182	43	in	in	ADP
flr-675	182	44	the	the	DET
flr-675	182	45	spss	spss	PROPN
flr-675	182	46	output	output	NOUN
flr-675	182	47	)	)	PUNCT
flr-675	182	48	is	be	AUX
flr-675	182	49	5.27	5.27	NUM
flr-675	182	50	,	,	PUNCT
flr-675	182	51	which	which	PRON
flr-675	182	52	represents	represent	VERB
flr-675	182	53	the	the	DET
flr-675	182	54	overall	overall	ADJ
flr-675	182	55	effect	effect	NOUN
flr-675	182	56	size	size	NOUN
flr-675	182	57	(	(	PUNCT
flr-675	182	58	i.e.	i.e.	X
flr-675	182	59	attainment	attainment	ADJ
flr-675	182	60	gap	gap	NOUN
flr-675	182	61	)	)	PUNCT
flr-675	182	62	across	across	ADP
flr-675	182	63	all	all	DET
flr-675	182	64	modules	module	NOUN
flr-675	182	65	,	,	PUNCT
flr-675	182	66	and	and	CCONJ
flr-675	182	67	this	this	PRON
flr-675	182	68	is	be	AUX
flr-675	182	69	significant	significant	ADJ
flr-675	182	70	(	(	PUNCT
flr-675	182	71	p	p	X
flr-675	182	72	<	<	X
flr-675	182	73	.001	.001	NUM
flr-675	182	74	;	;	PUNCT
flr-675	182	75	significance	significance	NOUN
flr-675	182	76	is	be	AUX
flr-675	182	77	labelled	label	VERB
flr-675	182	78	as	as	ADP
flr-675	182	79	pr	pr	NOUN
flr-675	182	80	>	>	X
flr-675	182	81	|t|	|t|	PROPN
flr-675	182	82	in	in	ADP
flr-675	182	83	the	the	DET
flr-675	182	84	spss	spss	PROPN
flr-675	182	85	output	output	NOUN
flr-675	182	86	)	)	PUNCT
flr-675	182	87	.	.	PUNCT
flr-675	183	1	because	because	SCONJ
flr-675	183	2	this	this	DET
flr-675	183	3	value	value	NOUN
flr-675	183	4	was	be	AUX
flr-675	183	5	calculated	calculate	VERB
flr-675	183	6	by	by	ADP
flr-675	183	7	deducting	deduct	VERB
flr-675	183	8	the	the	DET
flr-675	183	9	average	average	ADJ
flr-675	183	10	grade	grade	NOUN
flr-675	183	11	of	of	ADP
flr-675	183	12	group	group	NOUN
flr-675	183	13	0	0	NUM
flr-675	183	14	from	from	ADP
flr-675	183	15	the	the	DET
flr-675	183	16	average	average	ADJ
flr-675	183	17	grade	grade	NOUN
flr-675	183	18	of	of	ADP
flr-675	183	19	group	group	NOUN
flr-675	183	20	1	1	NUM
flr-675	183	21	,	,	PUNCT
flr-675	183	22	we	we	PRON
flr-675	183	23	can	can	AUX
flr-675	183	24	ascertain	ascertain	VERB
flr-675	183	25	that	that	SCONJ
flr-675	183	26	the	the	DET
flr-675	183	27	positive	positive	ADJ
flr-675	183	28	mean	mean	ADJ
flr-675	183	29	difference	difference	NOUN
flr-675	183	30	indicates	indicate	VERB
flr-675	183	31	that	that	SCONJ
flr-675	183	32	group	group	NOUN
flr-675	183	33	1	1	NUM
flr-675	183	34	has	have	VERB
flr-675	183	35	a	a	DET
flr-675	183	36	higher	high	ADJ
flr-675	183	37	average	average	ADJ
flr-675	183	38	grade	grade	NOUN
flr-675	183	39	(	(	PUNCT
flr-675	183	40	5.27	5.27	NUM
flr-675	183	41	%	%	NOUN
flr-675	183	42	greater	great	ADJ
flr-675	183	43	)	)	PUNCT
flr-675	183	44	than	than	ADP
flr-675	183	45	group	group	NOUN
flr-675	183	46	0	0	NUM
flr-675	183	47	,	,	PUNCT
flr-675	183	48	demonstrating	demonstrate	VERB
flr-675	183	49	that	that	SCONJ
flr-675	183	50	an	an	DET
flr-675	183	51	attainment	attainment	ADJ
flr-675	183	52	gap	gap	NOUN
flr-675	183	53	is	be	AUX
flr-675	183	54	present	present	ADJ
flr-675	183	55	.	.	PUNCT
flr-675	184	1	the	the	DET
flr-675	184	2	n	n	NUM
flr-675	184	3	level	level	NOUN
flr-675	184	4	1	1	NUM
flr-675	184	5	value	value	NOUN
flr-675	184	6	shows	show	VERB
flr-675	184	7	that	that	SCONJ
flr-675	184	8	1056	1056	NUM
flr-675	184	9	effect	effect	NOUN
flr-675	184	10	sizes	size	NOUN
flr-675	184	11	were	be	AUX
flr-675	184	12	included	include	VERB
flr-675	184	13	in	in	ADP
flr-675	184	14	the	the	DET
flr-675	184	15	analysis	analysis	NOUN
flr-675	184	16	and	and	CCONJ
flr-675	184	17	the	the	DET
flr-675	184	18	n	n	CCONJ
flr-675	184	19	level	level	NOUN
flr-675	184	20	2	2	NUM
flr-675	184	21	value	value	NOUN
flr-675	184	22	shows	show	VERB
flr-675	184	23	that	that	SCONJ
flr-675	184	24	there	there	PRON
flr-675	184	25	were	be	VERB
flr-675	184	26	40	40	NUM
flr-675	184	27	programmes	programme	NOUN
flr-675	184	28	.	.	PUNCT
flr-675	185	1	the	the	DET
flr-675	185	2	average	average	ADJ
flr-675	185	3	level	level	NOUN
flr-675	185	4	1	1	NUM
flr-675	185	5	n	n	NOUN
flr-675	185	6	value	value	NOUN
flr-675	185	7	shows	show	VERB
flr-675	185	8	that	that	SCONJ
flr-675	185	9	there	there	PRON
flr-675	185	10	was	be	VERB
flr-675	185	11	an	an	DET
flr-675	185	12	average	average	NOUN
flr-675	185	13	of	of	ADP
flr-675	185	14	26.40	26.40	NUM
flr-675	185	15	modules	module	NOUN
flr-675	185	16	per	per	ADP
flr-675	185	17	programme	programme	NOUN
flr-675	185	18	in	in	ADP
flr-675	185	19	the	the	DET
flr-675	185	20	analysis	analysis	NOUN
flr-675	185	21	.	.	PUNCT
flr-675	186	1	the	the	DET
flr-675	186	2	assumed	assume	VERB
flr-675	186	3	rho	rho	NOUN
flr-675	186	4	of	of	ADP
flr-675	186	5	.80	.80	NUM
flr-675	186	6	is	be	AUX
flr-675	186	7	the	the	DET
flr-675	186	8	average	average	ADJ
flr-675	186	9	intercorrelation	intercorrelation	NOUN
flr-675	186	10	we	we	PRON
flr-675	186	11	expected	expect	VERB
flr-675	186	12	there	there	PRON
flr-675	186	13	to	to	PART
flr-675	186	14	be	be	AUX
flr-675	186	15	between	between	ADP
flr-675	186	16	module	module	NOUN
flr-675	186	17	effect	effect	NOUN
flr-675	186	18	sizes	size	NOUN
flr-675	186	19	.	.	PUNCT
flr-675	187	1	finally	finally	ADV
flr-675	187	2	,	,	PUNCT
flr-675	187	3	the	the	DET
flr-675	187	4	tau	tau	NOUN
flr-675	187	5	-	-	PUNCT
flr-675	187	6	squared	square	VERB
flr-675	187	7	estimate	estimate	NOUN
flr-675	187	8	indicates	indicate	VERB
flr-675	187	9	the	the	DET
flr-675	187	10	amount	amount	NOUN
flr-675	187	11	of	of	ADP
flr-675	187	12	variance	variance	NOUN
flr-675	187	13	between	between	ADP
flr-675	187	14	programmes	programme	NOUN
flr-675	187	15	at	at	ADP
flr-675	187	16	the	the	DET
flr-675	187	17	rho	rho	ADJ
flr-675	187	18	level	level	NOUN
flr-675	187	19	we	we	PRON
flr-675	187	20	selected	select	VERB
flr-675	187	21	,	,	PUNCT
flr-675	187	22	and	and	CCONJ
flr-675	187	23	the	the	DET
flr-675	187	24	sensitivity	sensitivity	NOUN
flr-675	187	25	analysis	analysis	NOUN
flr-675	187	26	shows	show	VERB
flr-675	187	27	how	how	SCONJ
flr-675	187	28	this	this	DET
flr-675	187	29	amount	amount	NOUN
flr-675	187	30	of	of	ADP
flr-675	187	31	variance	variance	NOUN
flr-675	187	32	would	would	AUX
flr-675	187	33	have	have	AUX
flr-675	187	34	differed	differ	VERB
flr-675	187	35	at	at	ADP
flr-675	187	36	different	different	ADJ
flr-675	187	37	rho	rho	ADJ
flr-675	187	38	levels	level	NOUN
flr-675	187	39	.	.	PUNCT
flr-675	188	1	we	we	PRON
flr-675	188	2	can	can	AUX
flr-675	188	3	see	see	VERB
flr-675	188	4	from	from	ADP
flr-675	188	5	this	this	DET
flr-675	188	6	range	range	NOUN
flr-675	188	7	that	that	SCONJ
flr-675	188	8	the	the	DET
flr-675	188	9	variance	variance	NOUN
flr-675	188	10	level	level	NOUN
flr-675	188	11	would	would	AUX
flr-675	188	12	not	not	PART
flr-675	188	13	have	have	AUX
flr-675	188	14	been	be	AUX
flr-675	188	15	that	that	ADV
flr-675	188	16	different	different	ADJ
flr-675	188	17	if	if	SCONJ
flr-675	188	18	we	we	PRON
flr-675	188	19	expected	expect	VERB
flr-675	188	20	there	there	ADV
flr-675	188	21	to	to	PART
flr-675	188	22	be	be	AUX
flr-675	188	23	a	a	DET
flr-675	188	24	smaller	small	ADJ
flr-675	188	25	or	or	CCONJ
flr-675	188	26	larger	large	ADJ
flr-675	188	27	intercorrelation	intercorrelation	NOUN
flr-675	188	28	between	between	ADP
flr-675	188	29	modules	module	NOUN
flr-675	188	30	.	.	PUNCT
flr-675	189	1	model	model	NOUN
flr-675	189	2	2	2	NUM
flr-675	189	3	is	be	AUX
flr-675	189	4	displayed	display	VERB
flr-675	189	5	in	in	ADP
flr-675	189	6	figure	figure	NOUN
flr-675	189	7	8	8	NUM
flr-675	189	8	.	.	PUNCT
flr-675	190	1	figure	figure	NOUN
flr-675	190	2	8	8	NUM
flr-675	190	3	.	.	PUNCT
flr-675	191	1	spss	spss	PROPN
flr-675	191	2	output	output	NOUN
flr-675	191	3	of	of	ADP
flr-675	191	4	model	model	NOUN
flr-675	191	5	2	2	NUM
flr-675	191	6	from	from	ADP
flr-675	191	7	meta	meta	ADJ
flr-675	191	8	-	-	PUNCT
flr-675	191	9	regression	regression	NOUN
flr-675	191	10	analysis	analysis	NOUN
flr-675	191	11	of	of	ADP
flr-675	191	12	group_level_attainment_example.sav	group_level_attainment_example.sav	NOUN
flr-675	191	13	data	datum	NOUN
flr-675	191	14	set	set	VERB
flr-675	191	15	using	use	VERB
flr-675	191	16	group_level_attainment.sps	group_level_attainment.sps	PUNCT
flr-675	191	17	syntax	syntax	NOUN
flr-675	191	18	figure	figure	NOUN
flr-675	191	19	8	8	NUM
flr-675	191	20	includes	include	VERB
flr-675	191	21	all	all	PRON
flr-675	191	22	of	of	ADP
flr-675	191	23	the	the	DET
flr-675	191	24	covariates	covariate	NOUN
flr-675	191	25	in	in	ADP
flr-675	191	26	the	the	DET
flr-675	191	27	meta	meta	ADJ
flr-675	191	28	-	-	PUNCT
flr-675	191	29	regression	regression	NOUN
flr-675	191	30	analysis	analysis	NOUN
flr-675	191	31	.	.	PUNCT
flr-675	192	1	the	the	DET
flr-675	192	2	m	m	NOUN
flr-675	192	3	_	_	PRON
flr-675	192	4	(	(	PUNCT
flr-675	192	5	mean	mean	ADJ
flr-675	192	6	)	)	PUNCT
flr-675	192	7	prefix	prefix	NOUN
flr-675	192	8	denotes	denote	NOUN
flr-675	192	9	that	that	SCONJ
flr-675	192	10	values	value	VERB
flr-675	192	11	for	for	ADP
flr-675	192	12	this	this	DET
flr-675	192	13	variable	variable	NOUN
flr-675	192	14	have	have	AUX
flr-675	192	15	been	be	AUX
flr-675	192	16	averaged	average	VERB
flr-675	192	17	within	within	ADP
flr-675	192	18	a	a	DET
flr-675	192	19	programme	programme	NOUN
flr-675	192	20	to	to	PART
flr-675	192	21	allow	allow	VERB
flr-675	192	22	us	we	PRON
flr-675	192	23	to	to	PART
flr-675	192	24	interpret	interpret	VERB
flr-675	192	25	between	between	ADP
flr-675	192	26	-	-	PUNCT
flr-675	192	27	programme	programme	NOUN
flr-675	192	28	effects	effect	NOUN
flr-675	192	29	,	,	PUNCT
flr-675	192	30	whereas	whereas	SCONJ
flr-675	192	31	the	the	DET
flr-675	192	32	c	c	NOUN
flr-675	192	33	_	_	PRON
flr-675	192	34	(	(	PUNCT
flr-675	192	35	center	center	NOUN
flr-675	192	36	)	)	PUNCT
flr-675	192	37	prefix	prefix	NOUN
flr-675	192	38	denotes	denote	NOUN
flr-675	192	39	that	that	SCONJ
flr-675	192	40	these	these	DET
flr-675	192	41	variables	variable	NOUN
flr-675	192	42	have	have	AUX
flr-675	192	43	been	be	AUX
flr-675	192	44	centered	center	VERB
flr-675	192	45	around	around	ADP
flr-675	192	46	the	the	DET
flr-675	192	47	programme	programme	NOUN
flr-675	192	48	-	-	PUNCT
flr-675	192	49	mean	mean	VERB
flr-675	192	50	to	to	PART
flr-675	192	51	reflect	reflect	VERB
flr-675	192	52	within	within	ADP
flr-675	192	53	-	-	PUNCT
flr-675	192	54	programme	programme	NOUN
flr-675	192	55	(	(	PUNCT
flr-675	192	56	or	or	CCONJ
flr-675	192	57	between	between	ADP
flr-675	192	58	-	-	PUNCT
flr-675	192	59	module	module	NOUN
flr-675	192	60	)	)	PUNCT
flr-675	192	61	effects	effect	NOUN
flr-675	192	62	.	.	PUNCT
flr-675	193	1	firstly	firstly	ADV
flr-675	193	2	,	,	PUNCT
flr-675	193	3	year	year	NOUN
flr-675	193	4	of	of	ADP
flr-675	193	5	study	study	NOUN
flr-675	193	6	is	be	AUX
flr-675	193	7	a	a	DET
flr-675	193	8	significant	significant	ADJ
flr-675	193	9	negative	negative	ADJ
flr-675	193	10	covariate	covariate	NOUN
flr-675	193	11	within	within	ADP
flr-675	193	12	programmes	programme	NOUN
flr-675	193	13	(	(	PUNCT
flr-675	193	14	labelled	label	VERB
flr-675	193	15	c_year	c_year	NOUN
flr-675	193	16	in	in	ADP
flr-675	193	17	the	the	DET
flr-675	193	18	spss	spss	PROPN
flr-675	193	19	output	output	NOUN
flr-675	193	20	;	;	PUNCT
flr-675	193	21	p	p	X
flr-675	193	22	<	<	X
flr-675	193	23	.001	.001	NUM
flr-675	193	24	)	)	PUNCT
flr-675	193	25	,	,	PUNCT
flr-675	193	26	which	which	PRON
flr-675	193	27	means	mean	VERB
flr-675	193	28	that	that	SCONJ
flr-675	193	29	the	the	DET
flr-675	193	30	size	size	NOUN
flr-675	193	31	of	of	ADP
flr-675	193	32	any	any	DET
flr-675	193	33	attainment	attainment	ADJ
flr-675	193	34	gaps	gap	NOUN
flr-675	193	35	decreases	decrease	NOUN
flr-675	193	36	as	as	SCONJ
flr-675	193	37	students	student	NOUN
flr-675	193	38	transition	transition	VERB
flr-675	193	39	through	through	ADP
flr-675	193	40	university	university	NOUN
flr-675	193	41	.	.	PUNCT
flr-675	194	1	the	the	DET
flr-675	194	2	amount	amount	NOUN
flr-675	194	3	of	of	ADP
flr-675	194	4	independent	independent	ADJ
flr-675	194	5	study	study	NOUN
flr-675	194	6	time	time	NOUN
flr-675	194	7	expected	expect	VERB
flr-675	194	8	of	of	ADP
flr-675	194	9	students	student	NOUN
flr-675	194	10	is	be	AUX
flr-675	194	11	also	also	ADV
flr-675	194	12	a	a	DET
flr-675	194	13	significant	significant	ADJ
flr-675	194	14	positive	positive	ADJ
flr-675	194	15	covariate	covariate	NOUN
flr-675	194	16	within	within	ADP
flr-675	194	17	programmes	programme	NOUN
flr-675	194	18	(	(	PUNCT
flr-675	194	19	labelled	label	VERB
flr-675	194	20	c_indstu	c_indstu	X
flr-675	194	21	in	in	ADP
flr-675	194	22	the	the	DET
flr-675	194	23	spss	spss	PROPN
flr-675	194	24	output	output	NOUN
flr-675	194	25	;	;	PUNCT
flr-675	194	26	p	p	X
flr-675	194	27	=	=	NOUN
flr-675	194	28	.026	.026	NUM
flr-675	194	29	)	)	PUNCT
flr-675	194	30	,	,	PUNCT
flr-675	194	31	with	with	ADP
flr-675	194	32	the	the	DET
flr-675	194	33	size	size	NOUN
flr-675	194	34	of	of	ADP
flr-675	194	35	attainment	attainment	ADJ
flr-675	194	36	gaps	gap	NOUN
flr-675	194	37	increasing	increase	VERB
flr-675	194	38	as	as	ADP
flr-675	194	39	the	the	DET
flr-675	194	40	amount	amount	NOUN
flr-675	194	41	of	of	ADP
flr-675	194	42	expected	expect	VERB
flr-675	194	43	independent	independent	ADJ
flr-675	194	44	study	study	NOUN
flr-675	194	45	time	time	NOUN
flr-675	194	46	increases	increase	NOUN
flr-675	194	47	.	.	PUNCT
flr-675	195	1	finally	finally	ADV
flr-675	195	2	,	,	PUNCT
flr-675	195	3	the	the	DET
flr-675	195	4	attendance	attendance	NOUN
flr-675	195	5	variable	variable	NOUN
flr-675	195	6	is	be	AUX
flr-675	195	7	a	a	DET
flr-675	195	8	significant	significant	ADJ
flr-675	195	9	positive	positive	ADJ
flr-675	195	10	covariate	covariate	NOUN
flr-675	195	11	(	(	PUNCT
flr-675	195	12	labelled	label	VERB
flr-675	195	13	attend	attend	NOUN
flr-675	195	14	in	in	ADP
flr-675	195	15	the	the	DET
flr-675	195	16	spss	spss	PROPN
flr-675	195	17	output	output	NOUN
flr-675	195	18	;	;	PUNCT
flr-675	195	19	p	p	X
flr-675	195	20	=	=	NOUN
flr-675	195	21	.006	.006	NUM
flr-675	195	22	)	)	PUNCT
flr-675	195	23	,	,	PUNCT
flr-675	195	24	so	so	ADV
flr-675	195	25	having	have	VERB
flr-675	195	26	a	a	DET
flr-675	195	27	policy	policy	NOUN
flr-675	195	28	of	of	ADP
flr-675	195	29	attendance	attendance	NOUN
flr-675	195	30	contributing	contribute	VERB
flr-675	195	31	to	to	ADP
flr-675	195	32	students	student	NOUN
flr-675	195	33	’	'	PUNCT
flr-675	195	34	grades	grade	NOUN
flr-675	195	35	(	(	PUNCT
flr-675	195	36	coded	code	VERB
flr-675	195	37	as	as	ADP
flr-675	195	38	1	1	NUM
flr-675	195	39	)	)	PUNCT
flr-675	195	40	predicts	predict	VERB
flr-675	195	41	a	a	DET
flr-675	195	42	larger	large	ADJ
flr-675	195	43	gap	gap	NOUN
flr-675	195	44	in	in	ADP
flr-675	195	45	attainment	attainment	NOUN
flr-675	195	46	between	between	ADP
flr-675	195	47	groups	group	NOUN
flr-675	195	48	.	.	PUNCT
flr-675	196	1	as	as	ADP
flr-675	196	2	with	with	ADP
flr-675	196	3	the	the	DET
flr-675	196	4	regression	regression	NOUN
flr-675	196	5	analysis	analysis	NOUN
flr-675	196	6	in	in	ADP
flr-675	196	7	tutorial	tutorial	NOUN
flr-675	196	8	1	1	NUM
flr-675	196	9	,	,	PUNCT
flr-675	196	10	the	the	DET
flr-675	196	11	b	b	NOUN
flr-675	196	12	-	-	PUNCT
flr-675	196	13	values	value	NOUN
flr-675	196	14	in	in	ADP
flr-675	196	15	the	the	DET
flr-675	196	16	coef	coef	PROPN
flr-675	196	17	column	column	NOUN
flr-675	196	18	can	can	AUX
flr-675	196	19	also	also	ADV
flr-675	196	20	be	be	AUX
flr-675	196	21	used	use	VERB
flr-675	196	22	to	to	PART
flr-675	196	23	understand	understand	VERB
flr-675	196	24	how	how	SCONJ
flr-675	196	25	much	much	ADJ
flr-675	196	26	change	change	NOUN
flr-675	196	27	we	we	PRON
flr-675	196	28	would	would	AUX
flr-675	196	29	expect	expect	VERB
flr-675	196	30	in	in	ADP
flr-675	196	31	the	the	DET
flr-675	196	32	attainment	attainment	ADJ
flr-675	196	33	gap	gap	NOUN
flr-675	196	34	from	from	ADP
flr-675	196	35	a	a	DET
flr-675	196	36	one	one	NUM
flr-675	196	37	unit	unit	NOUN
flr-675	196	38	change	change	NOUN
flr-675	196	39	in	in	ADP
flr-675	196	40	these	these	DET
flr-675	196	41	variables	variable	NOUN
flr-675	196	42	(	(	PUNCT
flr-675	196	43	based	base	VERB
flr-675	196	44	on	on	ADP
flr-675	196	45	whatever	whatever	DET
flr-675	196	46	units	unit	NOUN
flr-675	196	47	the	the	DET
flr-675	196	48	original	original	ADJ
flr-675	196	49	variables	variable	NOUN
flr-675	196	50	were	be	AUX
flr-675	196	51	measured	measure	VERB
flr-675	196	52	in	in	ADP
flr-675	196	53	)	)	PUNCT
flr-675	196	54	,	,	PUNCT
flr-675	196	55	whilst	whilst	SCONJ
flr-675	196	56	holding	hold	VERB
flr-675	196	57	the	the	DET
flr-675	196	58	effects	effect	NOUN
flr-675	196	59	of	of	ADP
flr-675	196	60	all	all	DET
flr-675	196	61	other	other	ADJ
flr-675	196	62	variables	variable	NOUN
flr-675	196	63	constant	constant	ADJ
flr-675	196	64	.	.	PUNCT
flr-675	197	1	in	in	ADP
flr-675	197	2	this	this	DET
flr-675	197	3	example	example	NOUN
flr-675	197	4	,	,	PUNCT
flr-675	197	5	we	we	PRON
flr-675	197	6	aimed	aim	VERB
flr-675	197	7	to	to	PART
flr-675	197	8	determine	determine	VERB
flr-675	197	9	whether	whether	SCONJ
flr-675	197	10	there	there	PRON
flr-675	197	11	were	be	VERB
flr-675	197	12	attainment	attainment	ADJ
flr-675	197	13	gaps	gap	NOUN
flr-675	197	14	based	base	VERB
flr-675	197	15	on	on	ADP
flr-675	197	16	students	student	NOUN
flr-675	197	17	’	’	PART
flr-675	197	18	background	background	NOUN
flr-675	197	19	groups	group	NOUN
flr-675	197	20	,	,	PUNCT
flr-675	197	21	and	and	CCONJ
flr-675	197	22	whether	whether	SCONJ
flr-675	197	23	a	a	DET
flr-675	197	24	set	set	NOUN
flr-675	197	25	of	of	ADP
flr-675	197	26	meso	meso	NOUN
flr-675	197	27	-	-	PUNCT
flr-675	197	28	level	level	NOUN
flr-675	197	29	factors	factor	NOUN
flr-675	197	30	could	could	AUX
flr-675	197	31	predict	predict	VERB
flr-675	197	32	these	these	DET
flr-675	197	33	gaps	gap	NOUN
flr-675	197	34	.	.	PUNCT
flr-675	198	1	the	the	DET
flr-675	198	2	analysis	analysis	NOUN
flr-675	198	3	of	of	ADP
flr-675	198	4	this	this	DET
flr-675	198	5	hypothetical	hypothetical	ADJ
flr-675	198	6	data	datum	NOUN
flr-675	198	7	set	set	NOUN
flr-675	198	8	indicates	indicate	VERB
flr-675	198	9	that	that	SCONJ
flr-675	198	10	students	student	NOUN
flr-675	198	11	coded	code	VERB
flr-675	198	12	as	as	SCONJ
flr-675	198	13	group	group	NOUN
flr-675	198	14	1	1	NUM
flr-675	198	15	performed	perform	VERB
flr-675	198	16	better	well	ADV
flr-675	198	17	than	than	SCONJ
flr-675	198	18	students	student	NOUN
flr-675	198	19	coded	code	VERB
flr-675	198	20	as	as	ADP
flr-675	198	21	group	group	NOUN
flr-675	198	22	0	0	NUM
flr-675	198	23	,	,	PUNCT
flr-675	198	24	and	and	CCONJ
flr-675	198	25	this	this	DET
flr-675	198	26	overall	overall	ADJ
flr-675	198	27	attainment	attainment	ADJ
flr-675	198	28	gap	gap	NOUN
flr-675	198	29	can	can	AUX
flr-675	198	30	be	be	AUX
flr-675	198	31	explained	explain	VERB
flr-675	198	32	by	by	ADP
flr-675	198	33	the	the	DET
flr-675	198	34	year	year	NOUN
flr-675	198	35	of	of	ADP
flr-675	198	36	study	study	NOUN
flr-675	198	37	of	of	ADP
flr-675	198	38	the	the	DET
flr-675	198	39	module	module	NOUN
flr-675	198	40	,	,	PUNCT
flr-675	198	41	the	the	DET
flr-675	198	42	amount	amount	NOUN
flr-675	198	43	of	of	ADP
flr-675	198	44	independent	independent	ADJ
flr-675	198	45	study	study	NOUN
flr-675	198	46	time	time	NOUN
flr-675	198	47	expected	expect	VERB
flr-675	198	48	of	of	ADP
flr-675	198	49	students	student	NOUN
flr-675	198	50	in	in	ADP
flr-675	198	51	the	the	DET
flr-675	198	52	module	module	NOUN
flr-675	198	53	,	,	PUNCT
flr-675	198	54	and	and	CCONJ
flr-675	198	55	whether	whether	SCONJ
flr-675	198	56	there	there	PRON
flr-675	198	57	is	be	VERB
flr-675	198	58	a	a	DET
flr-675	198	59	policy	policy	NOUN
flr-675	198	60	of	of	ADP
flr-675	198	61	attendance	attendance	NOUN
flr-675	198	62	contributing	contribute	VERB
flr-675	198	63	to	to	ADP
flr-675	198	64	students	student	NOUN
flr-675	198	65	’	'	PUNCT
flr-675	198	66	grades	grade	NOUN
flr-675	198	67	.	.	PUNCT
flr-675	199	1	3.6	3.6	NUM
flr-675	199	2	tutorial	tutorial	NOUN
flr-675	199	3	4	4	NUM
flr-675	199	4	:	:	PUNCT
flr-675	199	5	illustrative	illustrative	ADJ
flr-675	199	6	example	example	NOUN
flr-675	199	7	of	of	ADP
flr-675	199	8	analysing	analyse	VERB
flr-675	199	9	continuation	continuation	NOUN
flr-675	199	10	gap	gap	NOUN
flr-675	199	11	data	datum	NOUN
flr-675	199	12	measured	measure	VERB
flr-675	199	13	at	at	ADP
flr-675	199	14	a	a	DET
flr-675	199	15	group	group	NOUN
flr-675	199	16	level	level	NOUN
flr-675	199	17	tutorial	tutorial	NOUN
flr-675	199	18	4	4	NUM
flr-675	199	19	presents	present	VERB
flr-675	199	20	an	an	DET
flr-675	199	21	analysis	analysis	NOUN
flr-675	199	22	of	of	ADP
flr-675	199	23	the	the	DET
flr-675	199	24	group_level_continuation_example.sav	group_level_continuation_example.sav	PROPN
flr-675	199	25	spss	spss	PROPN
flr-675	199	26	data	data	PROPN
flr-675	199	27	set	set	PROPN
flr-675	199	28	,	,	PUNCT
flr-675	199	29	which	which	PRON
flr-675	199	30	was	be	AUX
flr-675	199	31	designed	design	VERB
flr-675	199	32	to	to	PART
flr-675	199	33	closely	closely	ADV
flr-675	199	34	approximate	approximate	VERB
flr-675	199	35	what	what	PRON
flr-675	199	36	real	real	ADV
flr-675	199	37	aggregated	aggregate	VERB
flr-675	199	38	student	student	NOUN
flr-675	199	39	data	datum	NOUN
flr-675	199	40	might	might	AUX
flr-675	199	41	look	look	VERB
flr-675	199	42	like	like	ADP
flr-675	199	43	when	when	SCONJ
flr-675	199	44	modelling	model	VERB
flr-675	199	45	continuation	continuation	NOUN
flr-675	199	46	gaps	gap	NOUN
flr-675	199	47	.	.	PUNCT
flr-675	200	1	continuation	continuation	NOUN
flr-675	200	2	occurs	occur	VERB
flr-675	200	3	at	at	ADP
flr-675	200	4	the	the	DET
flr-675	200	5	year	year	NOUN
flr-675	200	6	-	-	PUNCT
flr-675	200	7	level	level	NOUN
flr-675	200	8	(	(	PUNCT
flr-675	200	9	rather	rather	ADV
flr-675	200	10	than	than	ADP
flr-675	200	11	at	at	ADP
flr-675	200	12	a	a	DET
flr-675	200	13	module	module	NOUN
flr-675	200	14	-	-	PUNCT
flr-675	200	15	level	level	NOUN
flr-675	200	16	)	)	PUNCT
flr-675	200	17	within	within	ADP
flr-675	200	18	a	a	DET
flr-675	200	19	programme	programme	NOUN
flr-675	200	20	;	;	PUNCT
flr-675	200	21	students	student	NOUN
flr-675	200	22	either	either	CCONJ
flr-675	200	23	progress	progress	VERB
flr-675	200	24	from	from	ADP
flr-675	200	25	one	one	NUM
flr-675	200	26	year	year	NOUN
flr-675	200	27	to	to	ADP
flr-675	200	28	the	the	DET
flr-675	200	29	next	next	ADJ
flr-675	200	30	(	(	PUNCT
flr-675	200	31	and	and	CCONJ
flr-675	200	32	then	then	ADV
flr-675	200	33	complete	complete	VERB
flr-675	200	34	their	their	PRON
flr-675	200	35	studies	study	NOUN
flr-675	200	36	)	)	PUNCT
flr-675	200	37	or	or	CCONJ
flr-675	200	38	drop	drop	VERB
flr-675	200	39	out	out	ADP
flr-675	200	40	.	.	PUNCT
flr-675	201	1	therefore	therefore	ADV
flr-675	201	2	,	,	PUNCT
flr-675	201	3	this	this	DET
flr-675	201	4	hypothetical	hypothetical	ADJ
flr-675	201	5	data	datum	NOUN
flr-675	201	6	set	set	VERB
flr-675	201	7	simulates	simulate	VERB
flr-675	201	8	a	a	DET
flr-675	201	9	range	range	NOUN
flr-675	201	10	of	of	ADP
flr-675	201	11	variables	variable	NOUN
flr-675	201	12	for	for	ADP
flr-675	201	13	a	a	DET
flr-675	201	14	sample	sample	NOUN
flr-675	201	15	of	of	ADP
flr-675	201	16	40	40	NUM
flr-675	201	17	programmes	programme	NOUN
flr-675	201	18	,	,	PUNCT
flr-675	201	19	split	split	VERB
flr-675	201	20	by	by	ADP
flr-675	201	21	the	the	DET
flr-675	201	22	year	year	NOUN
flr-675	201	23	of	of	ADP
flr-675	201	24	study	study	NOUN
flr-675	201	25	of	of	ADP
flr-675	201	26	the	the	DET
flr-675	201	27	programme	programme	NOUN
flr-675	201	28	.	.	PUNCT
flr-675	202	1	the	the	DET
flr-675	202	2	data	datum	NOUN
flr-675	202	3	set	set	VERB
flr-675	202	4	includes	include	VERB
flr-675	202	5	the	the	DET
flr-675	202	6	number	number	NOUN
flr-675	202	7	of	of	ADP
flr-675	202	8	students	student	NOUN
flr-675	202	9	who	who	PRON
flr-675	202	10	dropped	drop	VERB
flr-675	202	11	out	out	ADP
flr-675	202	12	of	of	ADP
flr-675	202	13	university	university	NOUN
flr-675	202	14	during	during	ADP
flr-675	202	15	a	a	DET
flr-675	202	16	particular	particular	ADJ
flr-675	202	17	year	year	NOUN
flr-675	202	18	of	of	ADP
flr-675	202	19	study	study	NOUN
flr-675	202	20	for	for	ADP
flr-675	202	21	two	two	NUM
flr-675	202	22	different	different	ADJ
flr-675	202	23	groups	group	NOUN
flr-675	202	24	of	of	ADP
flr-675	202	25	students	student	NOUN
flr-675	202	26	(	(	PUNCT
flr-675	202	27	student	student	NOUN
flr-675	202	28	background	background	NOUN
flr-675	202	29	group	group	NOUN
flr-675	202	30	)	)	PUNCT
flr-675	202	31	.	.	PUNCT
flr-675	203	1	it	it	PRON
flr-675	203	2	also	also	ADV
flr-675	203	3	includes	include	VERB
flr-675	203	4	the	the	DET
flr-675	203	5	same	same	ADJ
flr-675	203	6	set	set	NOUN
flr-675	203	7	of	of	ADP
flr-675	203	8	meso	meso	NOUN
flr-675	203	9	-	-	PUNCT
flr-675	203	10	level	level	NOUN
flr-675	203	11	variables	variable	NOUN
flr-675	203	12	used	use	VERB
flr-675	203	13	as	as	ADP
flr-675	203	14	covariates	covariate	NOUN
flr-675	203	15	in	in	ADP
flr-675	203	16	tutorial	tutorial	NOUN
flr-675	203	17	3	3	NUM
flr-675	203	18	,	,	PUNCT
flr-675	203	19	instead	instead	ADV
flr-675	203	20	averaged	average	VERB
flr-675	203	21	across	across	ADP
flr-675	203	22	all	all	DET
flr-675	203	23	modules	module	NOUN
flr-675	203	24	for	for	ADP
flr-675	203	25	the	the	DET
flr-675	203	26	year	year	NOUN
flr-675	203	27	of	of	ADP
flr-675	203	28	the	the	DET
flr-675	203	29	programme	programme	NOUN
flr-675	203	30	rather	rather	ADV
flr-675	203	31	than	than	ADP
flr-675	203	32	split	split	VERB
flr-675	203	33	by	by	ADP
flr-675	203	34	module	module	NOUN
flr-675	203	35	(	(	PUNCT
flr-675	203	36	the	the	DET
flr-675	203	37	variables	variable	NOUN
flr-675	203	38	are	be	AUX
flr-675	203	39	detailed	detail	VERB
flr-675	203	40	in	in	ADP
flr-675	203	41	table	table	NOUN
flr-675	203	42	4	4	NUM
flr-675	203	43	)	)	PUNCT
flr-675	203	44	.	.	PUNCT
flr-675	204	1	there	there	PRON
flr-675	204	2	are	be	VERB
flr-675	204	3	three	three	NUM
flr-675	204	4	types	type	NOUN
flr-675	204	5	of	of	ADP
flr-675	204	6	effect	effect	NOUN
flr-675	204	7	size	size	NOUN
flr-675	204	8	that	that	PRON
flr-675	204	9	could	could	AUX
flr-675	204	10	be	be	AUX
flr-675	204	11	calculated	calculate	VERB
flr-675	204	12	for	for	ADP
flr-675	204	13	these	these	DET
flr-675	204	14	data	datum	NOUN
flr-675	204	15	set	set	VERB
flr-675	204	16	for	for	ADP
flr-675	204	17	use	use	NOUN
flr-675	204	18	in	in	ADP
flr-675	204	19	the	the	DET
flr-675	204	20	meta	meta	ADJ
flr-675	204	21	-	-	PUNCT
flr-675	204	22	regression	regression	NOUN
flr-675	204	23	analysis	analysis	NOUN
flr-675	204	24	.	.	PUNCT
flr-675	205	1	the	the	DET
flr-675	205	2	first	first	ADJ
flr-675	205	3	effect	effect	NOUN
flr-675	205	4	size	size	NOUN
flr-675	205	5	option	option	NOUN
flr-675	205	6	is	be	AUX
flr-675	205	7	to	to	PART
flr-675	205	8	calculate	calculate	VERB
flr-675	205	9	the	the	DET
flr-675	205	10	risk	risk	NOUN
flr-675	205	11	ratio	ratio	NOUN
flr-675	205	12	,	,	PUNCT
flr-675	205	13	which	which	PRON
flr-675	205	14	in	in	ADP
flr-675	205	15	this	this	DET
flr-675	205	16	example	example	NOUN
flr-675	205	17	would	would	AUX
flr-675	205	18	be	be	AUX
flr-675	205	19	the	the	DET
flr-675	205	20	ratio	ratio	NOUN
flr-675	205	21	between	between	ADP
flr-675	205	22	the	the	DET
flr-675	205	23	risk	risk	NOUN
flr-675	205	24	of	of	ADP
flr-675	205	25	dropout	dropout	NOUN
flr-675	205	26	for	for	ADP
flr-675	205	27	one	one	NUM
flr-675	205	28	student	student	NOUN
flr-675	205	29	group	group	NOUN
flr-675	205	30	compared	compare	VERB
flr-675	205	31	to	to	ADP
flr-675	205	32	the	the	DET
flr-675	205	33	risk	risk	NOUN
flr-675	205	34	of	of	ADP
flr-675	205	35	dropout	dropout	NOUN
flr-675	205	36	for	for	ADP
flr-675	205	37	the	the	DET
flr-675	205	38	other	other	ADJ
flr-675	205	39	group	group	NOUN
flr-675	205	40	.	.	PUNCT
flr-675	206	1	the	the	DET
flr-675	206	2	second	second	ADJ
flr-675	206	3	effect	effect	NOUN
flr-675	206	4	size	size	NOUN
flr-675	206	5	option	option	NOUN
flr-675	206	6	is	be	AUX
flr-675	206	7	to	to	PART
flr-675	206	8	calculate	calculate	VERB
flr-675	206	9	the	the	DET
flr-675	206	10	risk	risk	NOUN
flr-675	206	11	difference	difference	NOUN
flr-675	206	12	,	,	PUNCT
flr-675	206	13	which	which	PRON
flr-675	206	14	is	be	AUX
flr-675	206	15	the	the	DET
flr-675	206	16	difference	difference	NOUN
flr-675	206	17	between	between	ADP
flr-675	206	18	these	these	DET
flr-675	206	19	two	two	NUM
flr-675	206	20	risks	risk	NOUN
flr-675	206	21	.	.	PUNCT
flr-675	207	1	the	the	DET
flr-675	207	2	final	final	ADJ
flr-675	207	3	option	option	NOUN
flr-675	207	4	is	be	AUX
flr-675	207	5	to	to	PART
flr-675	207	6	calculate	calculate	VERB
flr-675	207	7	the	the	PRON
flr-675	207	8	or	or	CCONJ
flr-675	207	9	,	,	PUNCT
flr-675	207	10	which	which	PRON
flr-675	207	11	is	be	AUX
flr-675	207	12	what	what	PRON
flr-675	207	13	is	be	AUX
flr-675	207	14	used	use	VERB
flr-675	207	15	in	in	ADP
flr-675	207	16	logistic	logistic	ADJ
flr-675	207	17	regression	regression	NOUN
flr-675	207	18	analyses	analysis	NOUN
flr-675	207	19	.	.	PUNCT
flr-675	208	1	hedges	hedge	NOUN
flr-675	208	2	et	et	PROPN
flr-675	208	3	al	al	PROPN
flr-675	208	4	.	.	PROPN
flr-675	209	1	(	(	PUNCT
flr-675	209	2	2009	2009	NUM
flr-675	209	3	)	)	PUNCT
flr-675	209	4	suggest	suggest	VERB
flr-675	209	5	that	that	SCONJ
flr-675	209	6	ors	or	NOUN
flr-675	209	7	have	have	VERB
flr-675	209	8	statistical	statistical	ADJ
flr-675	209	9	properties	property	NOUN
flr-675	209	10	that	that	PRON
flr-675	209	11	often	often	ADV
flr-675	209	12	make	make	VERB
flr-675	209	13	them	they	PRON
flr-675	209	14	the	the	DET
flr-675	209	15	best	good	ADJ
flr-675	209	16	effect	effect	NOUN
flr-675	209	17	size	size	NOUN
flr-675	209	18	option	option	NOUN
flr-675	209	19	with	with	ADP
flr-675	209	20	meta	meta	NOUN
flr-675	209	21	-	-	PUNCT
flr-675	209	22	analyses	analysis	NOUN
flr-675	209	23	of	of	ADP
flr-675	209	24	binary	binary	ADJ
flr-675	209	25	data	datum	NOUN
flr-675	209	26	,	,	PUNCT
flr-675	209	27	so	so	SCONJ
flr-675	209	28	since	since	SCONJ
flr-675	209	29	this	this	DET
flr-675	209	30	statistic	statistic	NOUN
flr-675	209	31	was	be	AUX
flr-675	209	32	also	also	ADV
flr-675	209	33	used	use	VERB
flr-675	209	34	when	when	SCONJ
flr-675	209	35	modelling	model	VERB
flr-675	209	36	continuation	continuation	NOUN
flr-675	209	37	gaps	gap	NOUN
flr-675	209	38	at	at	ADP
flr-675	209	39	an	an	DET
flr-675	209	40	individual	individual	ADJ
flr-675	209	41	level	level	NOUN
flr-675	209	42	(	(	PUNCT
flr-675	209	43	tutorial	tutorial	NOUN
flr-675	209	44	2	2	NUM
flr-675	209	45	)	)	PUNCT
flr-675	209	46	,	,	PUNCT
flr-675	209	47	we	we	PRON
flr-675	209	48	have	have	AUX
flr-675	209	49	used	use	VERB
flr-675	209	50	it	it	PRON
flr-675	209	51	with	with	ADP
flr-675	209	52	the	the	DET
flr-675	209	53	current	current	ADJ
flr-675	209	54	data	datum	NOUN
flr-675	209	55	in	in	ADP
flr-675	209	56	this	this	DET
flr-675	209	57	tutorial	tutorial	NOUN
flr-675	209	58	.	.	PUNCT
flr-675	210	1	however	however	ADV
flr-675	210	2	,	,	PUNCT
flr-675	210	3	the	the	DET
flr-675	210	4	spss	spss	PROPN
flr-675	210	5	syntax	syntax	NOUN
flr-675	210	6	for	for	ADP
flr-675	210	7	this	this	DET
flr-675	210	8	example	example	NOUN
flr-675	210	9	also	also	ADV
flr-675	210	10	computes	compute	VERB
flr-675	210	11	variables	variable	NOUN
flr-675	210	12	for	for	ADP
flr-675	210	13	risk	risk	NOUN
flr-675	210	14	ratios	ratio	NOUN
flr-675	210	15	and	and	CCONJ
flr-675	210	16	risk	risk	NOUN
flr-675	210	17	differences	difference	NOUN
flr-675	210	18	in	in	ADP
flr-675	210	19	case	case	NOUN
flr-675	210	20	the	the	DET
flr-675	210	21	reader	reader	NOUN
flr-675	210	22	would	would	AUX
flr-675	210	23	prefer	prefer	VERB
flr-675	210	24	to	to	PART
flr-675	210	25	use	use	VERB
flr-675	210	26	these	these	DET
flr-675	210	27	measures	measure	NOUN
flr-675	210	28	instead	instead	ADV
flr-675	210	29	.	.	PUNCT
flr-675	211	1	it	it	PRON
flr-675	211	2	is	be	AUX
flr-675	211	3	also	also	ADV
flr-675	211	4	necessary	necessary	ADJ
flr-675	211	5	to	to	PART
flr-675	211	6	use	use	VERB
flr-675	211	7	the	the	DET
flr-675	211	8	log	log	NOUN
flr-675	211	9	-	-	PUNCT
flr-675	211	10	transformed	transform	VERB
flr-675	211	11	or	or	CCONJ
flr-675	211	12	over	over	ADP
flr-675	211	13	the	the	DET
flr-675	211	14	raw	raw	ADJ
flr-675	211	15	or	or	CCONJ
flr-675	211	16	to	to	PART
flr-675	211	17	ensure	ensure	VERB
flr-675	211	18	that	that	SCONJ
flr-675	211	19	there	there	PRON
flr-675	211	20	is	be	VERB
flr-675	211	21	a	a	DET
flr-675	211	22	balance	balance	NOUN
flr-675	211	23	in	in	ADP
flr-675	211	24	ratios	ratio	NOUN
flr-675	211	25	between	between	ADP
flr-675	211	26	groups	group	NOUN
flr-675	211	27	(	(	PUNCT
flr-675	211	28	hedges	hedge	NOUN
flr-675	211	29	et	et	PROPN
flr-675	211	30	al	al	PROPN
flr-675	211	31	.	.	PROPN
flr-675	211	32	,	,	PUNCT
flr-675	211	33	2009	2009	NUM
flr-675	211	34	)	)	PUNCT
flr-675	211	35	.	.	PUNCT
flr-675	212	1	when	when	SCONJ
flr-675	212	2	modelling	model	VERB
flr-675	212	3	continuation	continuation	NOUN
flr-675	212	4	gaps	gap	NOUN
flr-675	212	5	at	at	ADP
flr-675	212	6	an	an	DET
flr-675	212	7	individual	individual	ADJ
flr-675	212	8	level	level	NOUN
flr-675	212	9	(	(	PUNCT
flr-675	212	10	tutorial	tutorial	NOUN
flr-675	212	11	2	2	NUM
flr-675	212	12	)	)	PUNCT
flr-675	212	13	,	,	PUNCT
flr-675	212	14	the	the	DET
flr-675	212	15	outcome	outcome	NOUN
flr-675	212	16	was	be	AUX
flr-675	212	17	the	the	DET
flr-675	212	18	continuation	continuation	NOUN
flr-675	212	19	variable	variable	NOUN
flr-675	212	20	and	and	CCONJ
flr-675	212	21	the	the	DET
flr-675	212	22	initial	initial	ADJ
flr-675	212	23	covariate	covariate	NOUN
flr-675	212	24	entered	enter	VERB
flr-675	212	25	in	in	ADP
flr-675	212	26	the	the	DET
flr-675	212	27	analysis	analysis	NOUN
flr-675	212	28	was	be	AUX
flr-675	212	29	the	the	DET
flr-675	212	30	student	student	NOUN
flr-675	212	31	background	background	NOUN
flr-675	212	32	group	group	NOUN
flr-675	212	33	variable	variable	NOUN
flr-675	212	34	.	.	PUNCT
flr-675	213	1	extending	extend	VERB
flr-675	213	2	this	this	PRON
flr-675	213	3	to	to	ADP
flr-675	213	4	a	a	DET
flr-675	213	5	group	group	NOUN
flr-675	213	6	level	level	NOUN
flr-675	213	7	,	,	PUNCT
flr-675	213	8	the	the	DET
flr-675	213	9	log	log	NOUN
flr-675	213	10	or	or	CCONJ
flr-675	213	11	for	for	ADP
flr-675	213	12	the	the	DET
flr-675	213	13	association	association	NOUN
flr-675	213	14	between	between	ADP
flr-675	213	15	these	these	DET
flr-675	213	16	two	two	NUM
flr-675	213	17	variables	variable	NOUN
flr-675	213	18	(	(	PUNCT
flr-675	213	19	see	see	VERB
flr-675	213	20	table	table	NOUN
flr-675	213	21	2	2	NUM
flr-675	213	22	)	)	PUNCT
flr-675	213	23	represents	represent	VERB
flr-675	213	24	an	an	DET
flr-675	213	25	effect	effect	NOUN
flr-675	213	26	size	size	NOUN
flr-675	213	27	,	,	PUNCT
flr-675	213	28	so	so	CCONJ
flr-675	213	29	this	this	PRON
flr-675	213	30	is	be	AUX
flr-675	213	31	our	our	PRON
flr-675	213	32	outcome	outcome	NOUN
flr-675	213	33	variable	variable	NOUN
flr-675	213	34	when	when	SCONJ
flr-675	213	35	using	use	VERB
flr-675	213	36	meta	meta	NOUN
flr-675	213	37	-	-	PUNCT
flr-675	213	38	regression	regression	NOUN
flr-675	213	39	.	.	PUNCT
flr-675	213	40	  	  	SPACE
flr-675	214	1	table	table	NOUN
flr-675	214	2	4	4	NUM
flr-675	214	3	variables	variable	NOUN
flr-675	214	4	included	include	VERB
flr-675	214	5	in	in	ADP
flr-675	214	6	group_level_continuation_example.sav	group_level_continuation_example.sav	PROPN
flr-675	214	7	spss	spss	PROPN
flr-675	214	8	data	datum	NOUN
flr-675	214	9	set	set	VERB
flr-675	214	10	the	the	DET
flr-675	214	11	group_level_continuation_example.sav	group_level_continuation_example.sav	PROPN
flr-675	214	12	spss	spss	PROPN
flr-675	214	13	data	datum	NOUN
flr-675	214	14	set	set	NOUN
flr-675	214	15	includes	include	VERB
flr-675	214	16	the	the	DET
flr-675	214	17	dropout	dropout	NOUN
flr-675	214	18	numbers	number	NOUN
flr-675	214	19	for	for	ADP
flr-675	214	20	each	each	DET
flr-675	214	21	year	year	NOUN
flr-675	214	22	of	of	ADP
flr-675	214	23	a	a	DET
flr-675	214	24	programme	programme	NOUN
flr-675	214	25	(	(	PUNCT
flr-675	214	26	i.e.	i.e.	X
flr-675	214	27	years	year	NOUN
flr-675	214	28	1	1	NUM
flr-675	214	29	,	,	PUNCT
flr-675	214	30	2	2	NUM
flr-675	214	31	and	and	CCONJ
flr-675	214	32	3	3	NUM
flr-675	214	33	)	)	PUNCT
flr-675	214	34	at	at	ADP
flr-675	214	35	a	a	DET
flr-675	214	36	single	single	ADJ
flr-675	214	37	point	point	NOUN
flr-675	214	38	in	in	ADP
flr-675	214	39	time	time	NOUN
flr-675	214	40	.	.	PUNCT
flr-675	215	1	therefore	therefore	ADV
flr-675	215	2	,	,	PUNCT
flr-675	215	3	unlike	unlike	ADP
flr-675	215	4	the	the	DET
flr-675	215	5	data	datum	NOUN
flr-675	215	6	set	set	VERB
flr-675	215	7	used	use	VERB
flr-675	215	8	in	in	ADP
flr-675	215	9	tutorial	tutorial	ADJ
flr-675	215	10	3	3	NUM
flr-675	215	11	,	,	PUNCT
flr-675	215	12	effect	effect	NOUN
flr-675	215	13	sizes	size	NOUN
flr-675	215	14	do	do	AUX
flr-675	215	15	not	not	PART
flr-675	215	16	include	include	VERB
flr-675	215	17	any	any	PRON
flr-675	215	18	of	of	ADP
flr-675	215	19	the	the	DET
flr-675	215	20	same	same	ADJ
flr-675	215	21	students	student	NOUN
flr-675	215	22	.	.	PUNCT
flr-675	216	1	however	however	ADV
flr-675	216	2	,	,	PUNCT
flr-675	216	3	whilst	whilst	SCONJ
flr-675	216	4	effect	effect	NOUN
flr-675	216	5	sizes	size	NOUN
flr-675	216	6	are	be	AUX
flr-675	216	7	independent	independent	ADJ
flr-675	216	8	,	,	PUNCT
flr-675	216	9	there	there	PRON
flr-675	216	10	are	be	VERB
flr-675	216	11	three	three	NUM
flr-675	216	12	separate	separate	ADJ
flr-675	216	13	effect	effect	NOUN
flr-675	216	14	sizes	size	NOUN
flr-675	216	15	clustered	cluster	VERB
flr-675	216	16	within	within	ADP
flr-675	216	17	each	each	DET
flr-675	216	18	programme	programme	NOUN
flr-675	216	19	(	(	PUNCT
flr-675	216	20	one	one	NUM
flr-675	216	21	for	for	ADP
flr-675	216	22	each	each	DET
flr-675	216	23	year	year	NOUN
flr-675	216	24	of	of	ADP
flr-675	216	25	students	student	NOUN
flr-675	216	26	’	'	PUNCT
flr-675	216	27	study	study	NOUN
flr-675	216	28	)	)	PUNCT
flr-675	216	29	.	.	PUNCT
flr-675	217	1	therefore	therefore	ADV
flr-675	217	2	,	,	PUNCT
flr-675	217	3	there	there	PRON
flr-675	217	4	may	may	AUX
flr-675	217	5	be	be	AUX
flr-675	217	6	hierarchical	hierarchical	ADJ
flr-675	217	7	dependence	dependence	NOUN
flr-675	217	8	between	between	ADP
flr-675	217	9	effect	effect	NOUN
flr-675	217	10	sizes	size	NOUN
flr-675	217	11	(	(	PUNCT
flr-675	217	12	tipton	tipton	PROPN
flr-675	217	13	&	&	CCONJ
flr-675	217	14	pustejovsky	pustejovsky	PROPN
flr-675	217	15	,	,	PUNCT
flr-675	217	16	2015	2015	NUM
flr-675	217	17	)	)	PUNCT
flr-675	217	18	,	,	PUNCT
flr-675	217	19	because	because	SCONJ
flr-675	217	20	although	although	SCONJ
flr-675	217	21	different	different	ADJ
flr-675	217	22	individuals	individual	NOUN
flr-675	217	23	contribute	contribute	VERB
flr-675	217	24	to	to	ADP
flr-675	217	25	each	each	DET
flr-675	217	26	effect	effect	NOUN
flr-675	217	27	size	size	NOUN
flr-675	217	28	,	,	PUNCT
flr-675	217	29	there	there	PRON
flr-675	217	30	may	may	AUX
flr-675	217	31	be	be	AUX
flr-675	217	32	a	a	DET
flr-675	217	33	shared	share	VERB
flr-675	217	34	influence	influence	NOUN
flr-675	217	35	on	on	ADP
flr-675	217	36	patterns	pattern	NOUN
flr-675	217	37	of	of	ADP
flr-675	217	38	continuation	continuation	NOUN
flr-675	217	39	within	within	ADP
flr-675	217	40	a	a	DET
flr-675	217	41	particular	particular	ADJ
flr-675	217	42	programme	programme	NOUN
flr-675	217	43	(	(	PUNCT
flr-675	217	44	e.g.	e.g.	ADV
flr-675	217	45	because	because	SCONJ
flr-675	217	46	the	the	DET
flr-675	217	47	same	same	ADJ
flr-675	217	48	staff	staff	NOUN
flr-675	217	49	may	may	AUX
flr-675	217	50	teach	teach	VERB
flr-675	217	51	across	across	ADP
flr-675	217	52	years	year	NOUN
flr-675	217	53	on	on	ADP
flr-675	217	54	a	a	DET
flr-675	217	55	programme	programme	NOUN
flr-675	217	56	,	,	PUNCT
flr-675	217	57	there	there	PRON
flr-675	217	58	may	may	AUX
flr-675	217	59	be	be	AUX
flr-675	217	60	similarities	similarity	NOUN
flr-675	217	61	in	in	ADP
flr-675	217	62	curriculum	curriculum	NOUN
flr-675	217	63	design	design	NOUN
flr-675	217	64	across	across	ADP
flr-675	217	65	a	a	DET
flr-675	217	66	programme	programme	NOUN
flr-675	217	67	,	,	PUNCT
flr-675	217	68	etc	etc	X
flr-675	217	69	.	.	X
flr-675	217	70	)	)	PUNCT
flr-675	217	71	.	.	PUNCT
flr-675	218	1	it	it	PRON
flr-675	218	2	is	be	AUX
flr-675	218	3	worth	worth	ADJ
flr-675	218	4	noting	note	VERB
flr-675	218	5	that	that	SCONJ
flr-675	218	6	hierarchical	hierarchical	ADJ
flr-675	218	7	dependency	dependency	NOUN
flr-675	218	8	may	may	AUX
flr-675	218	9	also	also	ADV
flr-675	218	10	have	have	AUX
flr-675	218	11	been	be	AUX
flr-675	218	12	present	present	ADJ
flr-675	218	13	in	in	ADP
flr-675	218	14	the	the	DET
flr-675	218	15	data	datum	NOUN
flr-675	218	16	set	set	VERB
flr-675	218	17	used	use	VERB
flr-675	218	18	for	for	ADP
flr-675	218	19	tutorial	tutorial	NOUN
flr-675	218	20	3	3	NUM
flr-675	218	21	,	,	PUNCT
flr-675	218	22	since	since	SCONJ
flr-675	218	23	each	each	DET
flr-675	218	24	programme	programme	NOUN
flr-675	218	25	was	be	AUX
flr-675	218	26	also	also	ADV
flr-675	218	27	clustered	cluster	VERB
flr-675	218	28	within	within	ADP
flr-675	218	29	a	a	DET
flr-675	218	30	department	department	NOUN
flr-675	218	31	/	/	SYM
flr-675	218	32	school	school	NOUN
flr-675	218	33	that	that	PRON
flr-675	218	34	may	may	AUX
flr-675	218	35	have	have	AUX
flr-675	218	36	led	lead	VERB
flr-675	218	37	to	to	ADP
flr-675	218	38	shared	share	VERB
flr-675	218	39	influences	influence	NOUN
flr-675	218	40	between	between	ADP
flr-675	218	41	programmes	programme	NOUN
flr-675	218	42	.	.	PUNCT
flr-675	219	1	however	however	ADV
flr-675	219	2	,	,	PUNCT
flr-675	219	3	it	it	PRON
flr-675	219	4	has	have	AUX
flr-675	219	5	been	be	AUX
flr-675	219	6	advised	advise	VERB
flr-675	219	7	that	that	SCONJ
flr-675	219	8	the	the	DET
flr-675	219	9	analysis	analysis	NOUN
flr-675	219	10	should	should	AUX
flr-675	219	11	use	use	VERB
flr-675	219	12	the	the	DET
flr-675	219	13	weights	weight	NOUN
flr-675	219	14	(	(	PUNCT
flr-675	219	15	correlated	correlate	VERB
flr-675	219	16	or	or	CCONJ
flr-675	219	17	hierarchical	hierarchical	ADJ
flr-675	219	18	)	)	PUNCT
flr-675	219	19	based	base	VERB
flr-675	219	20	on	on	ADP
flr-675	219	21	the	the	DET
flr-675	219	22	most	most	ADV
flr-675	219	23	common	common	ADJ
flr-675	219	24	type	type	NOUN
flr-675	219	25	of	of	ADP
flr-675	219	26	dependency	dependency	NOUN
flr-675	219	27	in	in	ADP
flr-675	219	28	the	the	DET
flr-675	219	29	data	datum	NOUN
flr-675	219	30	(	(	PUNCT
flr-675	219	31	tanner	tanner	NOUN
flr-675	219	32	-	-	PUNCT
flr-675	219	33	smith	smith	PROPN
flr-675	219	34	et	et	PROPN
flr-675	219	35	al	al	PROPN
flr-675	219	36	.	.	PROPN
flr-675	219	37	,	,	PUNCT
flr-675	219	38	2016	2016	NUM
flr-675	219	39	;	;	PUNCT
flr-675	219	40	tipton	tipton	PROPN
flr-675	219	41	&	&	CCONJ
flr-675	219	42	pustejovsky	pustejovsky	PROPN
flr-675	219	43	,	,	PUNCT
flr-675	219	44	2015	2015	NUM
flr-675	219	45	)	)	PUNCT
flr-675	219	46	.	.	PUNCT
flr-675	220	1	since	since	SCONJ
flr-675	220	2	we	we	PRON
flr-675	220	3	are	be	AUX
flr-675	220	4	focusing	focus	VERB
flr-675	220	5	on	on	ADP
flr-675	220	6	explaining	explain	VERB
flr-675	220	7	the	the	DET
flr-675	220	8	continuation	continuation	NOUN
flr-675	220	9	gaps	gap	VERB
flr-675	220	10	themselves	themselves	PRON
flr-675	220	11	,	,	PUNCT
flr-675	220	12	the	the	DET
flr-675	220	13	question	question	NOUN
flr-675	220	14	we	we	PRON
flr-675	220	15	aim	aim	VERB
flr-675	220	16	to	to	PART
flr-675	220	17	answer	answer	VERB
flr-675	220	18	in	in	ADP
flr-675	220	19	this	this	DET
flr-675	220	20	tutorial	tutorial	NOUN
flr-675	220	21	is	be	AUX
flr-675	220	22	:	:	PUNCT
flr-675	220	23	are	be	AUX
flr-675	220	24	there	there	PRON
flr-675	220	25	continuation	continuation	NOUN
flr-675	220	26	gaps	gap	NOUN
flr-675	220	27	based	base	VERB
flr-675	220	28	on	on	ADP
flr-675	220	29	the	the	DET
flr-675	220	30	students	student	NOUN
flr-675	220	31	’	’	PART
flr-675	220	32	background	background	NOUN
flr-675	220	33	groups	group	NOUN
flr-675	220	34	,	,	PUNCT
flr-675	220	35	and	and	CCONJ
flr-675	220	36	can	can	AUX
flr-675	220	37	a	a	DET
flr-675	220	38	set	set	NOUN
flr-675	220	39	of	of	ADP
flr-675	220	40	meso	meso	NOUN
flr-675	220	41	-	-	PUNCT
flr-675	220	42	level	level	NOUN
flr-675	220	43	factors	factor	NOUN
flr-675	220	44	predict	predict	VERB
flr-675	220	45	these	these	DET
flr-675	220	46	gaps	gap	NOUN
flr-675	220	47	?	?	PUNCT
flr-675	221	1	for	for	ADP
flr-675	221	2	tutorial	tutorial	NOUN
flr-675	221	3	4	4	NUM
flr-675	221	4	,	,	PUNCT
flr-675	221	5	we	we	PRON
flr-675	221	6	performed	perform	VERB
flr-675	221	7	a	a	DET
flr-675	221	8	meta	meta	ADJ
flr-675	221	9	-	-	PUNCT
flr-675	221	10	regression	regression	NOUN
flr-675	221	11	analysis	analysis	NOUN
flr-675	221	12	using	use	VERB
flr-675	221	13	rve	rve	PROPN
flr-675	221	14	with	with	ADP
flr-675	221	15	hierarchical	hierarchical	ADJ
flr-675	221	16	effects	effect	NOUN
flr-675	221	17	weights	weight	NOUN
flr-675	221	18	.	.	PUNCT
flr-675	222	1	the	the	DET
flr-675	222	2	background	background	NOUN
flr-675	222	3	group	group	NOUN
flr-675	222	4	variable	variable	NOUN
flr-675	222	5	does	do	AUX
flr-675	222	6	not	not	PART
flr-675	222	7	need	need	VERB
flr-675	222	8	to	to	PART
flr-675	222	9	be	be	AUX
flr-675	222	10	entered	enter	VERB
flr-675	222	11	into	into	ADP
flr-675	222	12	the	the	DET
flr-675	222	13	analysis	analysis	NOUN
flr-675	222	14	as	as	ADP
flr-675	222	15	a	a	DET
flr-675	222	16	separate	separate	ADJ
flr-675	222	17	variable	variable	NOUN
flr-675	222	18	,	,	PUNCT
flr-675	222	19	so	so	CCONJ
flr-675	222	20	no	no	DET
flr-675	222	21	covariates	covariate	NOUN
flr-675	222	22	were	be	AUX
flr-675	222	23	included	include	VERB
flr-675	222	24	in	in	ADP
flr-675	222	25	the	the	DET
flr-675	222	26	first	first	ADJ
flr-675	222	27	model	model	NOUN
flr-675	222	28	.	.	PUNCT
flr-675	223	1	this	this	DET
flr-675	223	2	intercept	intercept	NOUN
flr-675	223	3	-	-	PUNCT
flr-675	223	4	only	only	ADJ
flr-675	223	5	model	model	NOUN
flr-675	223	6	therefore	therefore	ADV
flr-675	223	7	tested	test	VERB
flr-675	223	8	the	the	DET
flr-675	223	9	odds	odd	NOUN
flr-675	223	10	that	that	SCONJ
flr-675	223	11	students	student	NOUN
flr-675	223	12	in	in	ADP
flr-675	223	13	one	one	NUM
flr-675	223	14	group	group	NOUN
flr-675	223	15	were	be	AUX
flr-675	223	16	more	more	ADV
flr-675	223	17	likely	likely	ADJ
flr-675	223	18	to	to	PART
flr-675	223	19	drop	drop	VERB
flr-675	223	20	out	out	ADP
flr-675	223	21	(	(	PUNCT
flr-675	223	22	model	model	NOUN
flr-675	223	23	1	1	NUM
flr-675	223	24	)	)	PUNCT
flr-675	223	25	,	,	PUNCT
flr-675	223	26	equivalent	equivalent	ADJ
flr-675	223	27	to	to	ADP
flr-675	223	28	the	the	DET
flr-675	223	29	first	first	ADJ
flr-675	223	30	model	model	NOUN
flr-675	223	31	in	in	ADP
flr-675	223	32	tutorial	tutorial	NOUN
flr-675	223	33	2	2	NUM
flr-675	223	34	.	.	PUNCT
flr-675	224	1	as	as	ADP
flr-675	224	2	with	with	ADP
flr-675	224	3	tutorial	tutorial	NOUN
flr-675	224	4	3	3	NUM
flr-675	224	5	,	,	PUNCT
flr-675	224	6	new	new	ADJ
flr-675	224	7	variables	variable	NOUN
flr-675	224	8	needed	need	VERB
flr-675	224	9	to	to	PART
flr-675	224	10	be	be	AUX
flr-675	224	11	created	create	VERB
flr-675	224	12	to	to	PART
flr-675	224	13	average	average	VERB
flr-675	224	14	covariates	covariate	NOUN
flr-675	224	15	across	across	ADP
flr-675	224	16	all	all	DET
flr-675	224	17	modules	module	NOUN
flr-675	224	18	within	within	ADP
flr-675	224	19	a	a	DET
flr-675	224	20	programme	programme	NOUN
flr-675	224	21	(	(	PUNCT
flr-675	224	22	programme	programme	NOUN
flr-675	224	23	-	-	PUNCT
flr-675	224	24	mean	mean	NOUN
flr-675	224	25	values	value	NOUN
flr-675	224	26	for	for	SCONJ
flr-675	224	27	each	each	DET
flr-675	224	28	variable	variable	NOUN
flr-675	224	29	to	to	PART
flr-675	224	30	model	model	VERB
flr-675	224	31	between	between	ADP
flr-675	224	32	-	-	PUNCT
flr-675	224	33	programme	programme	NOUN
flr-675	224	34	effects	effect	NOUN
flr-675	224	35	)	)	PUNCT
flr-675	224	36	and	and	CCONJ
flr-675	224	37	to	to	PART
flr-675	224	38	center	center	VERB
flr-675	224	39	these	these	DET
flr-675	224	40	variables	variable	NOUN
flr-675	224	41	around	around	ADP
flr-675	224	42	the	the	DET
flr-675	224	43	programme	programme	NOUN
flr-675	224	44	-	-	PUNCT
flr-675	224	45	mean	mean	NOUN
flr-675	224	46	(	(	PUNCT
flr-675	224	47	to	to	PART
flr-675	224	48	model	model	VERB
flr-675	224	49	within	within	ADP
flr-675	224	50	-	-	PUNCT
flr-675	224	51	programme	programme	NOUN
flr-675	224	52	/	/	SYM
flr-675	224	53	between	between	ADP
flr-675	224	54	-	-	PUNCT
flr-675	224	55	year	year	NOUN
flr-675	224	56	effects	effect	NOUN
flr-675	224	57	)	)	PUNCT
flr-675	224	58	,	,	PUNCT
flr-675	224	59	so	so	CCONJ
flr-675	224	60	this	this	PRON
flr-675	224	61	was	be	AUX
flr-675	224	62	done	do	VERB
flr-675	224	63	for	for	ADP
flr-675	224	64	the	the	DET
flr-675	224	65	number	number	NOUN
flr-675	224	66	of	of	ADP
flr-675	224	67	assessments	assessment	NOUN
flr-675	224	68	and	and	CCONJ
flr-675	224	69	percentage	percentage	NOUN
flr-675	224	70	of	of	ADP
flr-675	224	71	independent	independent	ADJ
flr-675	224	72	study	study	NOUN
flr-675	224	73	time	time	NOUN
flr-675	224	74	variables	variable	NOUN
flr-675	224	75	.	.	PUNCT
flr-675	225	1	we	we	PRON
flr-675	225	2	then	then	ADV
flr-675	225	3	entered	enter	VERB
flr-675	225	4	year	year	NOUN
flr-675	225	5	of	of	ADP
flr-675	225	6	study	study	NOUN
flr-675	225	7	,	,	PUNCT
flr-675	225	8	the	the	DET
flr-675	225	9	average	average	ADJ
flr-675	225	10	number	number	NOUN
flr-675	225	11	of	of	ADP
flr-675	225	12	assessment	assessment	NOUN
flr-675	225	13	components	component	NOUN
flr-675	225	14	,	,	PUNCT
flr-675	225	15	and	and	CCONJ
flr-675	225	16	the	the	DET
flr-675	225	17	average	average	ADJ
flr-675	225	18	percentage	percentage	NOUN
flr-675	225	19	of	of	ADP
flr-675	225	20	independent	independent	ADJ
flr-675	225	21	study	study	NOUN
flr-675	225	22	time	time	NOUN
flr-675	225	23	into	into	ADP
flr-675	225	24	the	the	DET
flr-675	225	25	next	next	ADJ
flr-675	225	26	model	model	NOUN
flr-675	225	27	(	(	PUNCT
flr-675	225	28	model	model	NOUN
flr-675	225	29	2	2	NUM
flr-675	225	30	)	)	PUNCT
flr-675	225	31	.	.	PUNCT
flr-675	226	1	the	the	DET
flr-675	226	2	group_level_continuation.sps	group_level_continuation.sp	NOUN
flr-675	226	3	spss	spss	PROPN
flr-675	226	4	syntax	syntax	NOUN
flr-675	226	5	file	file	NOUN
flr-675	226	6	includes	include	VERB
flr-675	226	7	the	the	DET
flr-675	226	8	code	code	NOUN
flr-675	226	9	for	for	ADP
flr-675	226	10	all	all	DET
flr-675	226	11	stages	stage	NOUN
flr-675	226	12	of	of	ADP
flr-675	226	13	this	this	DET
flr-675	226	14	analysis	analysis	NOUN
flr-675	226	15	,	,	PUNCT
flr-675	226	16	and	and	CCONJ
flr-675	226	17	again	again	ADV
flr-675	226	18	,	,	PUNCT
flr-675	226	19	the	the	DET
flr-675	226	20	spss	spss	PROPN
flr-675	226	21	macro	macro	ADJ
flr-675	226	22	file	file	NOUN
flr-675	226	23	,	,	PUNCT
flr-675	226	24	robustmeta.sps	robustmeta.sps	X
flr-675	226	25	(	(	PUNCT
flr-675	226	26	tanner	tanner	NOUN
flr-675	226	27	-	-	PUNCT
flr-675	226	28	smith	smith	PROPN
flr-675	226	29	&	&	CCONJ
flr-675	226	30	tipton	tipton	PROPN
flr-675	226	31	,	,	PUNCT
flr-675	226	32	2014	2014	NUM
flr-675	226	33	)	)	PUNCT
flr-675	226	34	,	,	PUNCT
flr-675	226	35	needs	need	VERB
flr-675	226	36	to	to	PART
flr-675	226	37	be	be	AUX
flr-675	226	38	saved	save	VERB
flr-675	226	39	on	on	ADP
flr-675	226	40	the	the	DET
flr-675	226	41	computer	computer	NOUN
flr-675	226	42	that	that	PRON
flr-675	226	43	will	will	AUX
flr-675	226	44	be	be	AUX
flr-675	226	45	used	use	VERB
flr-675	226	46	for	for	ADP
flr-675	226	47	performing	perform	VERB
flr-675	226	48	analyses	analysis	NOUN
flr-675	226	49	prior	prior	ADV
flr-675	226	50	to	to	ADP
flr-675	226	51	running	run	VERB
flr-675	226	52	any	any	DET
flr-675	226	53	spss	spss	ADJ
flr-675	226	54	syntax	syntax	NOUN
flr-675	226	55	files	file	NOUN
flr-675	226	56	,	,	PUNCT
flr-675	226	57	and	and	CCONJ
flr-675	226	58	the	the	DET
flr-675	226	59	file	file	NOUN
flr-675	226	60	path	path	NOUN
flr-675	226	61	for	for	ADP
flr-675	226	62	where	where	SCONJ
flr-675	226	63	this	this	DET
flr-675	226	64	macro	macro	NOUN
flr-675	226	65	is	be	AUX
flr-675	226	66	saved	save	VERB
flr-675	226	67	needs	need	NOUN
flr-675	226	68	to	to	PART
flr-675	226	69	be	be	AUX
flr-675	226	70	added	add	VERB
flr-675	226	71	to	to	ADP
flr-675	226	72	the	the	DET
flr-675	226	73	syntax	syntax	NOUN
flr-675	226	74	,	,	PUNCT
flr-675	226	75	as	as	SCONJ
flr-675	226	76	noted	note	VERB
flr-675	226	77	in	in	ADP
flr-675	226	78	the	the	DET
flr-675	226	79	syntax	syntax	NOUN
flr-675	226	80	instructions	instruction	NOUN
flr-675	226	81	.	.	PUNCT
flr-675	227	1	figure	figure	NOUN
flr-675	227	2	9	9	NUM
flr-675	227	3	displays	display	NOUN
flr-675	227	4	the	the	DET
flr-675	227	5	spss	spss	ADJ
flr-675	227	6	output	output	NOUN
flr-675	227	7	for	for	ADP
flr-675	227	8	the	the	DET
flr-675	227	9	model	model	NOUN
flr-675	227	10	that	that	PRON
flr-675	227	11	did	do	AUX
flr-675	227	12	not	not	PART
flr-675	227	13	include	include	VERB
flr-675	227	14	any	any	DET
flr-675	227	15	covariates	covariate	NOUN
flr-675	227	16	.	.	PUNCT
flr-675	228	1	figure	figure	NOUN
flr-675	228	2	9	9	NUM
flr-675	228	3	.	.	PUNCT
flr-675	228	4	spss	spss	ADJ
flr-675	228	5	output	output	NOUN
flr-675	228	6	of	of	ADP
flr-675	228	7	the	the	DET
flr-675	228	8	intercept	intercept	NOUN
flr-675	228	9	-	-	PUNCT
flr-675	228	10	only	only	ADV
flr-675	228	11	model	model	NOUN
flr-675	228	12	(	(	PUNCT
flr-675	228	13	model	model	NOUN
flr-675	228	14	1	1	NUM
flr-675	228	15	)	)	PUNCT
flr-675	228	16	from	from	ADP
flr-675	228	17	meta	meta	ADJ
flr-675	228	18	-	-	PUNCT
flr-675	228	19	regression	regression	NOUN
flr-675	228	20	analysis	analysis	NOUN
flr-675	228	21	of	of	ADP
flr-675	228	22	group_level_continuation_example.sav	group_level_continuation_example.sav	NOUN
flr-675	228	23	data	datum	NOUN
flr-675	228	24	set	set	VERB
flr-675	228	25	using	use	VERB
flr-675	228	26	group_level_continuation.sps	group_level_continuation.sp	NOUN
flr-675	228	27	syntax	syntax	NOUN
flr-675	228	28	in	in	ADP
flr-675	228	29	figure	figure	NOUN
flr-675	228	30	9	9	NUM
flr-675	228	31	,	,	PUNCT
flr-675	228	32	the	the	DET
flr-675	228	33	b	b	NOUN
flr-675	228	34	-	-	PUNCT
flr-675	228	35	value	value	NOUN
flr-675	228	36	for	for	ADP
flr-675	228	37	the	the	DET
flr-675	228	38	constant	constant	ADJ
flr-675	228	39	is	be	AUX
flr-675	228	40	1.54	1.54	NUM
flr-675	228	41	,	,	PUNCT
flr-675	228	42	which	which	PRON
flr-675	228	43	represents	represent	VERB
flr-675	228	44	the	the	DET
flr-675	228	45	overall	overall	ADJ
flr-675	228	46	log	log	NOUN
flr-675	228	47	or	or	CCONJ
flr-675	228	48	across	across	ADP
flr-675	228	49	all	all	DET
flr-675	228	50	years	year	NOUN
flr-675	228	51	.	.	PUNCT
flr-675	229	1	this	this	DET
flr-675	229	2	effect	effect	NOUN
flr-675	229	3	size	size	NOUN
flr-675	229	4	is	be	AUX
flr-675	229	5	positive	positive	ADJ
flr-675	229	6	and	and	CCONJ
flr-675	229	7	statistically	statistically	ADV
flr-675	229	8	significant	significant	ADJ
flr-675	229	9	(	(	PUNCT
flr-675	229	10	p	p	X
flr-675	229	11	<	<	X
flr-675	229	12	.001	.001	NUM
flr-675	229	13	)	)	PUNCT
flr-675	229	14	.	.	PUNCT
flr-675	230	1	as	as	SCONJ
flr-675	230	2	each	each	PRON
flr-675	230	3	or	or	CCONJ
flr-675	230	4	is	be	AUX
flr-675	230	5	calculated	calculate	VERB
flr-675	230	6	based	base	VERB
flr-675	230	7	on	on	ADP
flr-675	230	8	the	the	DET
flr-675	230	9	coding	coding	NOUN
flr-675	230	10	used	use	VERB
flr-675	230	11	in	in	ADP
flr-675	230	12	table	table	NOUN
flr-675	230	13	2	2	NUM
flr-675	230	14	,	,	PUNCT
flr-675	230	15	the	the	DET
flr-675	230	16	positive	positive	ADJ
flr-675	230	17	value	value	NOUN
flr-675	230	18	for	for	ADP
flr-675	230	19	the	the	DET
flr-675	230	20	effect	effect	NOUN
flr-675	230	21	size	size	NOUN
flr-675	230	22	indicates	indicate	VERB
flr-675	230	23	that	that	SCONJ
flr-675	230	24	students	student	NOUN
flr-675	230	25	coded	code	VERB
flr-675	230	26	as	as	ADP
flr-675	230	27	group	group	NOUN
flr-675	230	28	0	0	NUM
flr-675	230	29	were	be	AUX
flr-675	230	30	more	more	ADV
flr-675	230	31	likely	likely	ADJ
flr-675	230	32	to	to	PART
flr-675	230	33	drop	drop	VERB
flr-675	230	34	out	out	ADP
flr-675	230	35	than	than	SCONJ
flr-675	230	36	students	student	NOUN
flr-675	230	37	coded	code	VERB
flr-675	230	38	as	as	ADP
flr-675	230	39	group	group	NOUN
flr-675	230	40	1	1	NUM
flr-675	230	41	,	,	PUNCT
flr-675	230	42	demonstrating	demonstrate	VERB
flr-675	230	43	that	that	SCONJ
flr-675	230	44	a	a	DET
flr-675	230	45	continuation	continuation	NOUN
flr-675	230	46	gap	gap	NOUN
flr-675	230	47	is	be	AUX
flr-675	230	48	present	present	ADJ
flr-675	230	49	.	.	PUNCT
flr-675	231	1	we	we	PRON
flr-675	231	2	can	can	AUX
flr-675	231	3	convert	convert	VERB
flr-675	231	4	this	this	PRON
flr-675	231	5	back	back	ADV
flr-675	231	6	to	to	ADP
flr-675	231	7	a	a	DET
flr-675	231	8	raw	raw	ADJ
flr-675	231	9	or	or	CCONJ
flr-675	231	10	by	by	ADP
flr-675	231	11	using	use	VERB
flr-675	231	12	an	an	DET
flr-675	231	13	exponential	exponential	ADJ
flr-675	231	14	function	function	NOUN
flr-675	231	15	(	(	PUNCT
flr-675	231	16	e.g.	e.g.	ADV
flr-675	231	17	the	the	DET
flr-675	231	18	excel	excel	NOUN
flr-675	231	19	formula	formula	NOUN
flr-675	231	20	=	=	NOUN
flr-675	231	21	exp	exp	NOUN
flr-675	231	22	)	)	PUNCT
flr-675	231	23	,	,	PUNCT
flr-675	231	24	which	which	PRON
flr-675	231	25	gives	give	VERB
flr-675	231	26	an	an	DET
flr-675	231	27	or	or	CCONJ
flr-675	231	28	value	value	NOUN
flr-675	231	29	of	of	ADP
flr-675	231	30	4.67	4.67	NUM
flr-675	231	31	.	.	PUNCT
flr-675	232	1	the	the	DET
flr-675	232	2	or	or	CCONJ
flr-675	232	3	value	value	NOUN
flr-675	232	4	greater	great	ADJ
flr-675	232	5	than	than	ADP
flr-675	232	6	one	one	NUM
flr-675	232	7	indicates	indicate	VERB
flr-675	232	8	that	that	SCONJ
flr-675	232	9	students	student	NOUN
flr-675	232	10	coded	code	VERB
flr-675	232	11	as	as	ADP
flr-675	232	12	group	group	NOUN
flr-675	232	13	0	0	NUM
flr-675	232	14	were	be	AUX
flr-675	232	15	more	more	ADV
flr-675	232	16	likely	likely	ADJ
flr-675	232	17	to	to	PART
flr-675	232	18	drop	drop	VERB
flr-675	232	19	out	out	ADP
flr-675	232	20	than	than	SCONJ
flr-675	232	21	students	student	NOUN
flr-675	232	22	coded	code	VERB
flr-675	232	23	as	as	ADP
flr-675	232	24	group	group	NOUN
flr-675	232	25	1	1	NUM
flr-675	232	26	by	by	ADP
flr-675	232	27	a	a	DET
flr-675	232	28	factor	factor	NOUN
flr-675	232	29	of	of	ADP
flr-675	232	30	4.67	4.67	NUM
flr-675	232	31	.	.	PUNCT
flr-675	233	1	in	in	ADP
flr-675	233	2	other	other	ADJ
flr-675	233	3	words	word	NOUN
flr-675	233	4	,	,	PUNCT
flr-675	233	5	students	student	NOUN
flr-675	233	6	coded	code	VERB
flr-675	233	7	as	as	SCONJ
flr-675	233	8	group	group	NOUN
flr-675	233	9	0	0	NUM
flr-675	233	10	were	be	AUX
flr-675	233	11	over	over	ADP
flr-675	233	12	four	four	NUM
flr-675	233	13	times	time	NOUN
flr-675	233	14	as	as	ADV
flr-675	233	15	likely	likely	ADJ
flr-675	233	16	to	to	PART
flr-675	233	17	drop	drop	VERB
flr-675	233	18	out	out	ADP
flr-675	233	19	than	than	SCONJ
flr-675	233	20	students	student	NOUN
flr-675	233	21	coded	code	VERB
flr-675	233	22	as	as	ADP
flr-675	233	23	group	group	NOUN
flr-675	233	24	1	1	NUM
flr-675	233	25	.	.	PUNCT
flr-675	234	1	the	the	DET
flr-675	234	2	n	n	NUM
flr-675	234	3	level	level	NOUN
flr-675	234	4	1	1	NUM
flr-675	234	5	value	value	NOUN
flr-675	234	6	shows	show	VERB
flr-675	234	7	that	that	SCONJ
flr-675	234	8	120	120	NUM
flr-675	234	9	effect	effect	NOUN
flr-675	234	10	sizes	size	NOUN
flr-675	234	11	were	be	AUX
flr-675	234	12	analysed	analyse	VERB
flr-675	234	13	,	,	PUNCT
flr-675	234	14	and	and	CCONJ
flr-675	234	15	the	the	DET
flr-675	234	16	n	n	CCONJ
flr-675	234	17	level	level	NOUN
flr-675	234	18	2	2	NUM
flr-675	234	19	value	value	NOUN
flr-675	234	20	shows	show	VERB
flr-675	234	21	that	that	SCONJ
flr-675	234	22	there	there	PRON
flr-675	234	23	were	be	VERB
flr-675	234	24	40	40	NUM
flr-675	234	25	programmes	programme	NOUN
flr-675	234	26	.	.	PUNCT
flr-675	235	1	the	the	DET
flr-675	235	2	average	average	ADJ
flr-675	235	3	level	level	NOUN
flr-675	235	4	1	1	NUM
flr-675	235	5	n	n	NOUN
flr-675	235	6	value	value	NOUN
flr-675	235	7	shows	show	VERB
flr-675	235	8	that	that	SCONJ
flr-675	235	9	there	there	PRON
flr-675	235	10	was	be	VERB
flr-675	235	11	an	an	DET
flr-675	235	12	average	average	NOUN
flr-675	235	13	of	of	ADP
flr-675	235	14	three	three	NUM
flr-675	235	15	years	year	NOUN
flr-675	235	16	of	of	ADP
flr-675	235	17	study	study	NOUN
flr-675	235	18	per	per	ADP
flr-675	235	19	programme	programme	NOUN
flr-675	235	20	in	in	ADP
flr-675	235	21	the	the	DET
flr-675	235	22	analysis	analysis	NOUN
flr-675	235	23	.	.	PUNCT
flr-675	236	1	finally	finally	ADV
flr-675	236	2	,	,	PUNCT
flr-675	236	3	the	the	DET
flr-675	236	4	tau	tau	NOUN
flr-675	236	5	-	-	PUNCT
flr-675	236	6	squared	square	VERB
flr-675	236	7	estimate	estimate	NOUN
flr-675	236	8	indicates	indicate	VERB
flr-675	236	9	the	the	DET
flr-675	236	10	amount	amount	NOUN
flr-675	236	11	of	of	ADP
flr-675	236	12	variance	variance	NOUN
flr-675	236	13	between	between	ADP
flr-675	236	14	programmes	programme	NOUN
flr-675	236	15	,	,	PUNCT
flr-675	236	16	and	and	CCONJ
flr-675	236	17	the	the	DET
flr-675	236	18	omega	omega	NOUN
flr-675	236	19	-	-	PUNCT
flr-675	236	20	square	square	ADJ
flr-675	236	21	estimate	estimate	NOUN
flr-675	236	22	indicates	indicate	VERB
flr-675	236	23	the	the	DET
flr-675	236	24	amount	amount	NOUN
flr-675	236	25	of	of	ADP
flr-675	236	26	variance	variance	NOUN
flr-675	236	27	between	between	ADP
flr-675	236	28	years	year	NOUN
flr-675	236	29	within	within	ADP
flr-675	236	30	programmes	programme	NOUN
flr-675	236	31	.	.	PUNCT
flr-675	237	1	model	model	NOUN
flr-675	237	2	2	2	NUM
flr-675	237	3	is	be	AUX
flr-675	237	4	displayed	display	VERB
flr-675	237	5	in	in	ADP
flr-675	237	6	figure	figure	NOUN
flr-675	237	7	10	10	NUM
flr-675	237	8	.	.	PUNCT
flr-675	238	1	figure	figure	NOUN
flr-675	238	2	10	10	NUM
flr-675	238	3	.	.	PUNCT
flr-675	239	1	spss	spss	PROPN
flr-675	239	2	output	output	NOUN
flr-675	239	3	of	of	ADP
flr-675	239	4	model	model	NOUN
flr-675	239	5	2	2	NUM
flr-675	239	6	from	from	ADP
flr-675	239	7	meta	meta	ADJ
flr-675	239	8	-	-	PUNCT
flr-675	239	9	regression	regression	NOUN
flr-675	239	10	analysis	analysis	NOUN
flr-675	239	11	of	of	ADP
flr-675	239	12	group_level_continuation_example.sav	group_level_continuation_example.sav	NOUN
flr-675	239	13	data	datum	NOUN
flr-675	239	14	set	set	VERB
flr-675	239	15	using	use	VERB
flr-675	239	16	group_level_continuation.sps	group_level_continuation.sp	NOUN
flr-675	239	17	syntax	syntax	NOUN
flr-675	239	18	figure	figure	NOUN
flr-675	239	19	10	10	NUM
flr-675	239	20	includes	include	VERB
flr-675	239	21	all	all	PRON
flr-675	239	22	of	of	ADP
flr-675	239	23	the	the	DET
flr-675	239	24	covariates	covariate	NOUN
flr-675	239	25	in	in	ADP
flr-675	239	26	the	the	DET
flr-675	239	27	meta	meta	ADJ
flr-675	239	28	-	-	PUNCT
flr-675	239	29	regression	regression	NOUN
flr-675	239	30	analysis	analysis	NOUN
flr-675	239	31	.	.	PUNCT
flr-675	240	1	as	as	SCONJ
flr-675	240	2	was	be	AUX
flr-675	240	3	done	do	VERB
flr-675	240	4	in	in	ADP
flr-675	240	5	tutorial	tutorial	NOUN
flr-675	240	6	3	3	NUM
flr-675	240	7	,	,	PUNCT
flr-675	240	8	variables	variable	NOUN
flr-675	240	9	with	with	ADP
flr-675	240	10	an	an	DET
flr-675	240	11	m	m	NOUN
flr-675	240	12	_	_	PRON
flr-675	240	13	prefix	prefix	NOUN
flr-675	240	14	have	have	AUX
flr-675	240	15	been	be	AUX
flr-675	240	16	averaged	average	VERB
flr-675	240	17	within	within	ADP
flr-675	240	18	a	a	DET
flr-675	240	19	programme	programme	NOUN
flr-675	240	20	to	to	PART
flr-675	240	21	allow	allow	VERB
flr-675	240	22	us	we	PRON
flr-675	240	23	to	to	PART
flr-675	240	24	interpret	interpret	VERB
flr-675	240	25	between	between	ADP
flr-675	240	26	-	-	PUNCT
flr-675	240	27	programme	programme	NOUN
flr-675	240	28	effects	effect	NOUN
flr-675	240	29	,	,	PUNCT
flr-675	240	30	and	and	CCONJ
flr-675	240	31	variables	variable	NOUN
flr-675	240	32	with	with	ADP
flr-675	240	33	a	a	DET
flr-675	240	34	c	c	NOUN
flr-675	240	35	_	_	PRON
flr-675	240	36	prefix	prefix	NOUN
flr-675	240	37	have	have	AUX
flr-675	240	38	been	be	AUX
flr-675	240	39	centered	center	VERB
flr-675	240	40	around	around	ADP
flr-675	240	41	the	the	DET
flr-675	240	42	programme	programme	NOUN
flr-675	240	43	-	-	PUNCT
flr-675	240	44	mean	mean	VERB
flr-675	240	45	to	to	PART
flr-675	240	46	reflect	reflect	VERB
flr-675	240	47	within	within	ADP
flr-675	240	48	-	-	PUNCT
flr-675	240	49	programme	programme	NOUN
flr-675	240	50	(	(	PUNCT
flr-675	240	51	or	or	CCONJ
flr-675	240	52	between	between	ADP
flr-675	240	53	-	-	PUNCT
flr-675	240	54	year	year	NOUN
flr-675	240	55	)	)	PUNCT
flr-675	240	56	effects	effect	NOUN
flr-675	240	57	.	.	PUNCT
flr-675	241	1	firstly	firstly	ADV
flr-675	241	2	,	,	PUNCT
flr-675	241	3	the	the	DET
flr-675	241	4	number	number	NOUN
flr-675	241	5	of	of	ADP
flr-675	241	6	assessments	assessment	NOUN
flr-675	241	7	is	be	AUX
flr-675	241	8	a	a	DET
flr-675	241	9	significant	significant	ADJ
flr-675	241	10	positive	positive	ADJ
flr-675	241	11	covariate	covariate	NOUN
flr-675	241	12	within	within	ADP
flr-675	241	13	programmes	programme	NOUN
flr-675	241	14	(	(	PUNCT
flr-675	241	15	labelled	label	VERB
flr-675	241	16	c_assess	c_assess	NOUN
flr-675	241	17	in	in	ADP
flr-675	241	18	the	the	DET
flr-675	241	19	spss	spss	PROPN
flr-675	241	20	output	output	NOUN
flr-675	241	21	;	;	PUNCT
flr-675	241	22	p	p	X
flr-675	241	23	=	=	NOUN
flr-675	241	24	.002	.002	NUM
flr-675	241	25	)	)	PUNCT
flr-675	241	26	.	.	PUNCT
flr-675	242	1	since	since	SCONJ
flr-675	242	2	the	the	DET
flr-675	242	3	effect	effect	NOUN
flr-675	242	4	size	size	NOUN
flr-675	242	5	has	have	AUX
flr-675	242	6	been	be	AUX
flr-675	242	7	computed	compute	VERB
flr-675	242	8	as	as	ADP
flr-675	242	9	per	per	ADP
flr-675	242	10	the	the	DET
flr-675	242	11	coding	coding	NOUN
flr-675	242	12	in	in	ADP
flr-675	242	13	table	table	NOUN
flr-675	242	14	2	2	NUM
flr-675	242	15	(	(	PUNCT
flr-675	242	16	with	with	ADP
flr-675	242	17	a	a	DET
flr-675	242	18	higher	high	ADJ
flr-675	242	19	number	number	NOUN
flr-675	242	20	indicating	indicate	VERB
flr-675	242	21	that	that	SCONJ
flr-675	242	22	students	student	NOUN
flr-675	242	23	coded	code	VERB
flr-675	242	24	as	as	SCONJ
flr-675	242	25	group	group	NOUN
flr-675	242	26	0	0	NUM
flr-675	242	27	have	have	VERB
flr-675	242	28	a	a	DET
flr-675	242	29	higher	high	ADJ
flr-675	242	30	chance	chance	NOUN
flr-675	242	31	of	of	ADP
flr-675	242	32	dropping	drop	VERB
flr-675	242	33	out	out	ADP
flr-675	242	34	)	)	PUNCT
flr-675	242	35	,	,	PUNCT
flr-675	242	36	this	this	PRON
flr-675	242	37	means	mean	VERB
flr-675	242	38	that	that	SCONJ
flr-675	242	39	as	as	ADP
flr-675	242	40	the	the	DET
flr-675	242	41	number	number	NOUN
flr-675	242	42	of	of	ADP
flr-675	242	43	assessment	assessment	NOUN
flr-675	242	44	components	component	NOUN
flr-675	242	45	increases	increase	NOUN
flr-675	242	46	,	,	PUNCT
flr-675	242	47	so	so	ADV
flr-675	242	48	do	do	AUX
flr-675	242	49	the	the	DET
flr-675	242	50	odds	odd	NOUN
flr-675	242	51	of	of	ADP
flr-675	242	52	students	student	NOUN
flr-675	242	53	coded	code	VERB
flr-675	242	54	as	as	ADP
flr-675	242	55	group	group	NOUN
flr-675	242	56	0	0	NUM
flr-675	242	57	dropping	drop	VERB
flr-675	242	58	out	out	ADP
flr-675	242	59	.	.	PUNCT
flr-675	243	1	the	the	DET
flr-675	243	2	amount	amount	NOUN
flr-675	243	3	of	of	ADP
flr-675	243	4	independent	independent	ADJ
flr-675	243	5	study	study	NOUN
flr-675	243	6	time	time	NOUN
flr-675	243	7	expected	expect	VERB
flr-675	243	8	of	of	ADP
flr-675	243	9	students	student	NOUN
flr-675	243	10	is	be	AUX
flr-675	243	11	also	also	ADV
flr-675	243	12	a	a	DET
flr-675	243	13	significant	significant	ADJ
flr-675	243	14	positive	positive	ADJ
flr-675	243	15	covariate	covariate	NOUN
flr-675	243	16	both	both	PRON
flr-675	243	17	between	between	ADP
flr-675	243	18	programmes	programme	NOUN
flr-675	243	19	(	(	PUNCT
flr-675	243	20	labelled	label	VERB
flr-675	243	21	m_indstu	m_indstu	NOUN
flr-675	243	22	in	in	ADP
flr-675	243	23	the	the	DET
flr-675	243	24	spss	spss	PROPN
flr-675	243	25	output	output	NOUN
flr-675	243	26	;	;	PUNCT
flr-675	243	27	p	p	X
flr-675	243	28	=	=	NOUN
flr-675	243	29	.006	.006	NUM
flr-675	243	30	)	)	PUNCT
flr-675	243	31	and	and	CCONJ
flr-675	243	32	within	within	ADP
flr-675	243	33	programmes	programme	NOUN
flr-675	243	34	(	(	PUNCT
flr-675	243	35	labelled	label	VERB
flr-675	243	36	c_indstu	c_indstu	X
flr-675	243	37	in	in	ADP
flr-675	243	38	the	the	DET
flr-675	243	39	spss	spss	PROPN
flr-675	243	40	output	output	NOUN
flr-675	243	41	;	;	PUNCT
flr-675	243	42	p	p	PROPN
flr-675	243	43	=	=	PROPN
flr-675	243	44	.024	.024	NUM
flr-675	243	45	)	)	PUNCT
flr-675	243	46	,	,	PUNCT
flr-675	243	47	meaning	mean	VERB
flr-675	243	48	that	that	SCONJ
flr-675	243	49	as	as	ADP
flr-675	243	50	the	the	DET
flr-675	243	51	amount	amount	NOUN
flr-675	243	52	of	of	ADP
flr-675	243	53	expected	expect	VERB
flr-675	243	54	independent	independent	ADJ
flr-675	243	55	study	study	NOUN
flr-675	243	56	time	time	NOUN
flr-675	243	57	increases	increase	NOUN
flr-675	243	58	,	,	PUNCT
flr-675	243	59	so	so	ADV
flr-675	243	60	do	do	AUX
flr-675	243	61	the	the	DET
flr-675	243	62	odds	odd	NOUN
flr-675	243	63	of	of	ADP
flr-675	243	64	students	student	NOUN
flr-675	243	65	coded	code	VERB
flr-675	243	66	as	as	ADP
flr-675	243	67	group	group	NOUN
flr-675	243	68	0	0	NUM
flr-675	243	69	dropping	drop	VERB
flr-675	243	70	out	out	ADP
flr-675	243	71	.	.	PUNCT
flr-675	244	1	if	if	SCONJ
flr-675	244	2	the	the	DET
flr-675	244	3	b	b	NOUN
flr-675	244	4	-	-	PUNCT
flr-675	244	5	values	value	NOUN
flr-675	244	6	are	be	AUX
flr-675	244	7	converted	convert	VERB
flr-675	244	8	to	to	ADP
flr-675	244	9	ors	or	NOUN
flr-675	244	10	,	,	PUNCT
flr-675	244	11	they	they	PRON
flr-675	244	12	can	can	AUX
flr-675	244	13	also	also	ADV
flr-675	244	14	be	be	AUX
flr-675	244	15	used	use	VERB
flr-675	244	16	to	to	PART
flr-675	244	17	understand	understand	VERB
flr-675	244	18	the	the	DET
flr-675	244	19	likelihood	likelihood	NOUN
flr-675	244	20	to	to	ADP
flr-675	244	21	dropout	dropout	NOUN
flr-675	244	22	occurring	occur	VERB
flr-675	244	23	based	base	VERB
flr-675	244	24	on	on	ADP
flr-675	244	25	a	a	DET
flr-675	244	26	one	one	NUM
flr-675	244	27	unit	unit	NOUN
flr-675	244	28	change	change	NOUN
flr-675	244	29	in	in	ADP
flr-675	244	30	these	these	DET
flr-675	244	31	variables	variable	NOUN
flr-675	244	32	,	,	PUNCT
flr-675	244	33	whilst	whilst	SCONJ
flr-675	244	34	holding	hold	VERB
flr-675	244	35	the	the	DET
flr-675	244	36	effects	effect	NOUN
flr-675	244	37	of	of	ADP
flr-675	244	38	all	all	DET
flr-675	244	39	other	other	ADJ
flr-675	244	40	variables	variable	NOUN
flr-675	244	41	constant	constant	ADJ
flr-675	244	42	.	.	PUNCT
flr-675	245	1	in	in	ADP
flr-675	245	2	this	this	DET
flr-675	245	3	example	example	NOUN
flr-675	245	4	,	,	PUNCT
flr-675	245	5	we	we	PRON
flr-675	245	6	aimed	aim	VERB
flr-675	245	7	to	to	PART
flr-675	245	8	determine	determine	VERB
flr-675	245	9	whether	whether	SCONJ
flr-675	245	10	there	there	PRON
flr-675	245	11	were	be	VERB
flr-675	245	12	continuation	continuation	NOUN
flr-675	245	13	gaps	gap	NOUN
flr-675	245	14	based	base	VERB
flr-675	245	15	on	on	ADP
flr-675	245	16	students	student	NOUN
flr-675	245	17	’	’	PART
flr-675	245	18	background	background	NOUN
flr-675	245	19	groups	group	NOUN
flr-675	245	20	,	,	PUNCT
flr-675	245	21	and	and	CCONJ
flr-675	245	22	whether	whether	SCONJ
flr-675	245	23	a	a	DET
flr-675	245	24	set	set	NOUN
flr-675	245	25	of	of	ADP
flr-675	245	26	meso	meso	NOUN
flr-675	245	27	-	-	PUNCT
flr-675	245	28	level	level	NOUN
flr-675	245	29	factors	factor	NOUN
flr-675	245	30	could	could	AUX
flr-675	245	31	predict	predict	VERB
flr-675	245	32	these	these	DET
flr-675	245	33	gaps	gap	NOUN
flr-675	245	34	.	.	PUNCT
flr-675	246	1	the	the	DET
flr-675	246	2	analysis	analysis	NOUN
flr-675	246	3	of	of	ADP
flr-675	246	4	this	this	DET
flr-675	246	5	hypothetical	hypothetical	ADJ
flr-675	246	6	data	datum	NOUN
flr-675	246	7	set	set	NOUN
flr-675	246	8	indicates	indicate	VERB
flr-675	246	9	that	that	SCONJ
flr-675	246	10	students	student	NOUN
flr-675	246	11	coded	code	VERB
flr-675	246	12	as	as	ADP
flr-675	246	13	group	group	NOUN
flr-675	246	14	0	0	NUM
flr-675	246	15	were	be	AUX
flr-675	246	16	more	more	ADV
flr-675	246	17	likely	likely	ADJ
flr-675	246	18	to	to	PART
flr-675	246	19	drop	drop	VERB
flr-675	246	20	out	out	ADP
flr-675	246	21	than	than	SCONJ
flr-675	246	22	students	student	NOUN
flr-675	246	23	coded	code	VERB
flr-675	246	24	as	as	ADP
flr-675	246	25	group	group	NOUN
flr-675	246	26	1	1	NUM
flr-675	246	27	,	,	PUNCT
flr-675	246	28	and	and	CCONJ
flr-675	246	29	this	this	DET
flr-675	246	30	overall	overall	ADJ
flr-675	246	31	continuation	continuation	NOUN
flr-675	246	32	gap	gap	NOUN
flr-675	246	33	can	can	AUX
flr-675	246	34	be	be	AUX
flr-675	246	35	explained	explain	VERB
flr-675	246	36	by	by	ADP
flr-675	246	37	the	the	DET
flr-675	246	38	average	average	ADJ
flr-675	246	39	number	number	NOUN
flr-675	246	40	of	of	ADP
flr-675	246	41	assessment	assessment	NOUN
flr-675	246	42	components	component	NOUN
flr-675	246	43	and	and	CCONJ
flr-675	246	44	the	the	DET
flr-675	246	45	average	average	ADJ
flr-675	246	46	amount	amount	NOUN
flr-675	246	47	of	of	ADP
flr-675	246	48	independent	independent	ADJ
flr-675	246	49	study	study	NOUN
flr-675	246	50	time	time	NOUN
flr-675	246	51	expected	expect	VERB
flr-675	246	52	of	of	ADP
flr-675	246	53	students	student	NOUN
flr-675	246	54	.	.	PUNCT
flr-675	247	1	4	4	X
flr-675	247	2	.	.	NOUN
flr-675	247	3	cautions	caution	VERB
flr-675	247	4	the	the	DET
flr-675	247	5	purpose	purpose	NOUN
flr-675	247	6	of	of	ADP
flr-675	247	7	this	this	DET
flr-675	247	8	primer	primer	NOUN
flr-675	247	9	is	be	AUX
flr-675	247	10	not	not	PART
flr-675	247	11	to	to	PART
flr-675	247	12	encourage	encourage	VERB
flr-675	247	13	teaching	teach	VERB
flr-675	247	14	staff	staff	NOUN
flr-675	247	15	to	to	PART
flr-675	247	16	make	make	VERB
flr-675	247	17	large	large	ADJ
flr-675	247	18	-	-	PUNCT
flr-675	247	19	scale	scale	NOUN
flr-675	247	20	changes	change	NOUN
flr-675	247	21	to	to	ADP
flr-675	247	22	their	their	PRON
flr-675	247	23	practice	practice	NOUN
flr-675	247	24	based	base	VERB
flr-675	247	25	on	on	ADP
flr-675	247	26	evidence	evidence	NOUN
flr-675	247	27	from	from	ADP
flr-675	247	28	quantitative	quantitative	ADJ
flr-675	247	29	analyses	analysis	NOUN
flr-675	247	30	of	of	ADP
flr-675	247	31	institutional	institutional	ADJ
flr-675	247	32	data	datum	NOUN
flr-675	247	33	alone	alone	ADV
flr-675	247	34	.	.	PUNCT
flr-675	248	1	we	we	PRON
flr-675	248	2	believe	believe	VERB
flr-675	248	3	this	this	PRON
flr-675	248	4	would	would	AUX
flr-675	248	5	be	be	AUX
flr-675	248	6	very	very	ADV
flr-675	248	7	ill	ill	ADV
flr-675	248	8	-	-	PUNCT
flr-675	248	9	advised	advise	VERB
flr-675	248	10	for	for	ADP
flr-675	248	11	reasons	reason	NOUN
flr-675	248	12	we	we	PRON
flr-675	248	13	will	will	AUX
flr-675	248	14	now	now	ADV
flr-675	248	15	discuss	discuss	VERB
flr-675	248	16	.	.	PUNCT
flr-675	249	1	most	most	ADV
flr-675	249	2	importantly	importantly	ADV
flr-675	249	3	,	,	PUNCT
flr-675	249	4	if	if	SCONJ
flr-675	249	5	data	datum	NOUN
flr-675	249	6	are	be	AUX
flr-675	249	7	gathered	gather	VERB
flr-675	249	8	and	and	CCONJ
flr-675	249	9	analysed	analyse	VERB
flr-675	249	10	in	in	ADP
flr-675	249	11	the	the	DET
flr-675	249	12	ways	way	NOUN
flr-675	249	13	demonstrated	demonstrate	VERB
flr-675	249	14	in	in	ADP
flr-675	249	15	this	this	DET
flr-675	249	16	primer	primer	NOUN
flr-675	249	17	,	,	PUNCT
flr-675	249	18	any	any	DET
flr-675	249	19	associations	association	NOUN
flr-675	249	20	between	between	ADP
flr-675	249	21	covariates	covariate	NOUN
flr-675	249	22	and	and	CCONJ
flr-675	249	23	outcomes	outcome	NOUN
flr-675	249	24	are	be	AUX
flr-675	249	25	not	not	PART
flr-675	249	26	causal	causal	ADJ
flr-675	249	27	,	,	PUNCT
flr-675	249	28	so	so	SCONJ
flr-675	249	29	we	we	PRON
flr-675	249	30	can	can	AUX
flr-675	249	31	not	not	PART
flr-675	249	32	claim	claim	VERB
flr-675	249	33	that	that	SCONJ
flr-675	249	34	these	these	DET
flr-675	249	35	micro	micro	ADJ
flr-675	249	36	and	and	CCONJ
flr-675	249	37	meso	meso	NOUN
flr-675	249	38	-	-	PUNCT
flr-675	249	39	level	level	NOUN
flr-675	249	40	factors	factor	NOUN
flr-675	249	41	are	be	AUX
flr-675	249	42	causing	cause	VERB
flr-675	249	43	any	any	DET
flr-675	249	44	observed	observed	ADJ
flr-675	249	45	gaps	gap	NOUN
flr-675	249	46	.	.	PUNCT
flr-675	250	1	analyses	analysis	NOUN
flr-675	250	2	should	should	AUX
flr-675	250	3	also	also	ADV
flr-675	250	4	be	be	AUX
flr-675	250	5	driven	drive	VERB
flr-675	250	6	by	by	ADP
flr-675	250	7	theory	theory	NOUN
flr-675	250	8	,	,	PUNCT
flr-675	250	9	so	so	SCONJ
flr-675	250	10	variables	variable	NOUN
flr-675	250	11	should	should	AUX
flr-675	250	12	not	not	PART
flr-675	250	13	simply	simply	ADV
flr-675	250	14	be	be	AUX
flr-675	250	15	included	include	VERB
flr-675	250	16	just	just	ADV
flr-675	250	17	because	because	SCONJ
flr-675	250	18	data	datum	NOUN
flr-675	250	19	are	be	AUX
flr-675	250	20	available	available	ADJ
flr-675	250	21	,	,	PUNCT
flr-675	250	22	as	as	SCONJ
flr-675	250	23	this	this	PRON
flr-675	250	24	may	may	AUX
flr-675	250	25	lead	lead	VERB
flr-675	250	26	to	to	ADP
flr-675	250	27	false	false	ADJ
flr-675	250	28	positives	positive	NOUN
flr-675	250	29	.	.	PUNCT
flr-675	251	1	of	of	ADP
flr-675	251	2	course	course	NOUN
flr-675	251	3	,	,	PUNCT
flr-675	251	4	there	there	PRON
flr-675	251	5	is	be	VERB
flr-675	251	6	an	an	DET
flr-675	251	7	opportunity	opportunity	NOUN
flr-675	251	8	to	to	PART
flr-675	251	9	incorporate	incorporate	VERB
flr-675	251	10	variables	variable	NOUN
flr-675	251	11	in	in	ADP
flr-675	251	12	analyses	analysis	NOUN
flr-675	251	13	in	in	ADP
flr-675	251	14	an	an	DET
flr-675	251	15	exploratory	exploratory	ADJ
flr-675	251	16	sense	sense	NOUN
flr-675	251	17	in	in	ADP
flr-675	251	18	order	order	NOUN
flr-675	251	19	to	to	PART
flr-675	251	20	extend	extend	VERB
flr-675	251	21	the	the	DET
flr-675	251	22	evidence	evidence	NOUN
flr-675	251	23	-	-	PUNCT
flr-675	251	24	base	base	NOUN
flr-675	251	25	on	on	ADP
flr-675	251	26	explanatory	explanatory	ADJ
flr-675	251	27	factors	factor	NOUN
flr-675	251	28	,	,	PUNCT
flr-675	251	29	but	but	CCONJ
flr-675	251	30	efforts	effort	NOUN
flr-675	251	31	should	should	AUX
flr-675	251	32	be	be	AUX
flr-675	251	33	made	make	VERB
flr-675	251	34	to	to	PART
flr-675	251	35	avoid	avoid	VERB
flr-675	251	36	the	the	DET
flr-675	251	37	“	"	PUNCT
flr-675	251	38	tendency	tendency	NOUN
flr-675	251	39	to	to	PART
flr-675	251	40	constantly	constantly	ADV
flr-675	251	41	extend	extend	VERB
flr-675	251	42	the	the	DET
flr-675	251	43	data	data	NOUN
flr-675	251	44	inquiry	inquiry	NOUN
flr-675	251	45	to	to	PART
flr-675	251	46	look	look	VERB
flr-675	251	47	at	at	ADP
flr-675	251	48	more	more	ADJ
flr-675	251	49	variables	variable	NOUN
flr-675	251	50	with	with	ADP
flr-675	251	51	diminishing	diminish	VERB
flr-675	251	52	returns	return	NOUN
flr-675	251	53	in	in	ADP
flr-675	251	54	terms	term	NOUN
flr-675	251	55	of	of	ADP
flr-675	251	56	understanding	understanding	NOUN
flr-675	251	57	”	"	PUNCT
flr-675	251	58	(	(	PUNCT
flr-675	251	59	mountford	mountford	NOUN
flr-675	251	60	-	-	PUNCT
flr-675	251	61	zimdars	zimdar	NOUN
flr-675	251	62	et	et	NOUN
flr-675	251	63	al	al	PROPN
flr-675	251	64	.	.	PROPN
flr-675	251	65	,	,	PUNCT
flr-675	251	66	2015	2015	NUM
flr-675	251	67	,	,	PUNCT
flr-675	251	68	p.	p.	NOUN
flr-675	251	69	22	22	NUM
flr-675	251	70	)	)	PUNCT
flr-675	251	71	.	.	PUNCT
flr-675	252	1	furthermore	furthermore	ADV
flr-675	252	2	,	,	PUNCT
flr-675	252	3	an	an	DET
flr-675	252	4	explanatory	explanatory	ADJ
flr-675	252	5	factor	factor	NOUN
flr-675	252	6	in	in	ADP
flr-675	252	7	one	one	NUM
flr-675	252	8	area	area	NOUN
flr-675	252	9	might	might	AUX
flr-675	252	10	not	not	PART
flr-675	252	11	be	be	AUX
flr-675	252	12	the	the	DET
flr-675	252	13	case	case	NOUN
flr-675	252	14	in	in	ADP
flr-675	252	15	other	other	ADJ
flr-675	252	16	areas	area	NOUN
flr-675	252	17	,	,	PUNCT
flr-675	252	18	which	which	PRON
flr-675	252	19	limits	limit	VERB
flr-675	252	20	the	the	DET
flr-675	252	21	generalisability	generalisability	NOUN
flr-675	252	22	of	of	ADP
flr-675	252	23	analyses	analysis	NOUN
flr-675	252	24	unless	unless	SCONJ
flr-675	252	25	it	it	PRON
flr-675	252	26	can	can	AUX
flr-675	252	27	be	be	AUX
flr-675	252	28	argued	argue	VERB
flr-675	252	29	that	that	SCONJ
flr-675	252	30	student	student	NOUN
flr-675	252	31	populations	population	NOUN
flr-675	252	32	are	be	AUX
flr-675	252	33	equivalent	equivalent	ADJ
flr-675	252	34	and	and	CCONJ
flr-675	252	35	representative	representative	NOUN
flr-675	252	36	.	.	PUNCT
flr-675	253	1	this	this	PRON
flr-675	253	2	is	be	AUX
flr-675	253	3	why	why	SCONJ
flr-675	253	4	interventions	intervention	NOUN
flr-675	253	5	may	may	AUX
flr-675	253	6	not	not	PART
flr-675	253	7	always	always	ADV
flr-675	253	8	prove	prove	VERB
flr-675	253	9	to	to	PART
flr-675	253	10	be	be	AUX
flr-675	253	11	successful	successful	ADJ
flr-675	253	12	across	across	ADP
flr-675	253	13	contexts	contexts	NOUN
flr-675	253	14	.	.	PUNCT
flr-675	254	1	there	there	PRON
flr-675	254	2	is	be	VERB
flr-675	254	3	also	also	ADV
flr-675	254	4	the	the	DET
flr-675	254	5	risk	risk	NOUN
flr-675	254	6	of	of	ADP
flr-675	254	7	potential	potential	ADJ
flr-675	254	8	biases	bias	NOUN
flr-675	254	9	in	in	ADP
flr-675	254	10	interpretations	interpretation	NOUN
flr-675	254	11	occurring	occur	VERB
flr-675	254	12	that	that	SCONJ
flr-675	254	13	readers	reader	NOUN
flr-675	254	14	should	should	AUX
flr-675	254	15	attempt	attempt	VERB
flr-675	254	16	to	to	PART
flr-675	254	17	avoid	avoid	VERB
flr-675	254	18	.	.	PUNCT
flr-675	255	1	firstly	firstly	ADV
flr-675	255	2	,	,	PUNCT
flr-675	255	3	as	as	SCONJ
flr-675	255	4	noted	note	VERB
flr-675	255	5	above	above	ADV
flr-675	255	6	,	,	PUNCT
flr-675	255	7	each	each	DET
flr-675	255	8	time	time	NOUN
flr-675	255	9	a	a	DET
flr-675	255	10	covariate	covariate	NOUN
flr-675	255	11	is	be	AUX
flr-675	255	12	added	add	VERB
flr-675	255	13	to	to	ADP
flr-675	255	14	a	a	DET
flr-675	255	15	glm	glm	NOUN
flr-675	255	16	analysis	analysis	NOUN
flr-675	255	17	,	,	PUNCT
flr-675	255	18	the	the	DET
flr-675	255	19	coefficients	coefficient	NOUN
flr-675	255	20	for	for	ADP
flr-675	255	21	other	other	ADJ
flr-675	255	22	covariates	covariate	NOUN
flr-675	255	23	change	change	NOUN
flr-675	255	24	(	(	PUNCT
flr-675	255	25	unless	unless	SCONJ
flr-675	255	26	there	there	PRON
flr-675	255	27	is	be	VERB
flr-675	255	28	zero	zero	NUM
flr-675	255	29	correlation	correlation	NOUN
flr-675	255	30	between	between	ADP
flr-675	255	31	covariates	covariate	NOUN
flr-675	255	32	,	,	PUNCT
flr-675	255	33	which	which	PRON
flr-675	255	34	is	be	AUX
flr-675	255	35	unlikely	unlikely	ADJ
flr-675	255	36	)	)	PUNCT
flr-675	255	37	,	,	PUNCT
flr-675	255	38	so	so	ADV
flr-675	255	39	each	each	DET
flr-675	255	40	model	model	NOUN
flr-675	255	41	is	be	AUX
flr-675	255	42	context	context	NOUN
flr-675	255	43	-	-	PUNCT
flr-675	255	44	specific	specific	ADJ
flr-675	255	45	(	(	PUNCT
flr-675	255	46	dunlap	dunlap	PROPN
flr-675	255	47	&	&	CCONJ
flr-675	255	48	landis	landis	PROPN
flr-675	255	49	,	,	PUNCT
flr-675	255	50	1998	1998	NUM
flr-675	255	51	)	)	PUNCT
flr-675	255	52	.	.	PUNCT
flr-675	256	1	ors	or	NOUN
flr-675	256	2	(	(	PUNCT
flr-675	256	3	see	see	VERB
flr-675	256	4	tutorials	tutorial	NOUN
flr-675	256	5	2	2	NUM
flr-675	256	6	and	and	CCONJ
flr-675	256	7	4	4	NUM
flr-675	256	8	)	)	PUNCT
flr-675	256	9	can	can	AUX
flr-675	256	10	not	not	PART
flr-675	256	11	be	be	AUX
flr-675	256	12	compared	compare	VERB
flr-675	256	13	across	across	ADP
flr-675	256	14	models	model	NOUN
flr-675	256	15	for	for	ADP
flr-675	256	16	this	this	DET
flr-675	256	17	same	same	ADJ
flr-675	256	18	reason	reason	NOUN
flr-675	256	19	(	(	PUNCT
flr-675	256	20	mood	mood	NOUN
flr-675	256	21	,	,	PUNCT
flr-675	256	22	2010	2010	NUM
flr-675	256	23	)	)	PUNCT
flr-675	256	24	.	.	PUNCT
flr-675	257	1	high	high	ADJ
flr-675	257	2	interdependence	interdependence	NOUN
flr-675	257	3	between	between	ADP
flr-675	257	4	covariates	covariate	NOUN
flr-675	257	5	can	can	AUX
flr-675	257	6	also	also	ADV
flr-675	257	7	be	be	AUX
flr-675	257	8	problematic	problematic	ADJ
flr-675	257	9	,	,	PUNCT
flr-675	257	10	so	so	ADV
flr-675	257	11	karpen	karpen	ADJ
flr-675	257	12	(	(	PUNCT
flr-675	257	13	2017	2017	NUM
flr-675	257	14	)	)	PUNCT
flr-675	257	15	suggests	suggest	VERB
flr-675	257	16	the	the	DET
flr-675	257	17	use	use	NOUN
flr-675	257	18	of	of	ADP
flr-675	257	19	relative	relative	ADJ
flr-675	257	20	importance	importance	NOUN
flr-675	257	21	analysis	analysis	NOUN
flr-675	257	22	,	,	PUNCT
flr-675	257	23	which	which	PRON
flr-675	257	24	transforms	transform	VERB
flr-675	257	25	covariates	covariate	NOUN
flr-675	257	26	so	so	SCONJ
flr-675	257	27	they	they	PRON
flr-675	257	28	become	become	VERB
flr-675	257	29	uncorrelated	uncorrelated	ADJ
flr-675	257	30	,	,	PUNCT
flr-675	257	31	as	as	ADP
flr-675	257	32	an	an	DET
flr-675	257	33	alternative	alternative	NOUN
flr-675	257	34	to	to	PART
flr-675	257	35	linear	linear	VERB
flr-675	257	36	regression	regression	NOUN
flr-675	257	37	in	in	ADP
flr-675	257	38	these	these	DET
flr-675	257	39	situations	situation	NOUN
flr-675	257	40	.	.	PUNCT
flr-675	258	1	tonidandel	tonidandel	NOUN
flr-675	258	2	and	and	CCONJ
flr-675	258	3	lebreton	lebreton	PROPN
flr-675	258	4	(	(	PUNCT
flr-675	258	5	2015	2015	NUM
flr-675	258	6	)	)	PUNCT
flr-675	258	7	produced	produce	VERB
flr-675	258	8	a	a	DET
flr-675	258	9	free	free	ADJ
flr-675	258	10	web	web	NOUN
flr-675	258	11	-	-	PUNCT
flr-675	258	12	based	base	VERB
flr-675	258	13	tool	tool	NOUN
flr-675	258	14	for	for	ADP
flr-675	258	15	performing	perform	VERB
flr-675	258	16	relative	relative	ADJ
flr-675	258	17	importance	importance	NOUN
flr-675	258	18	analyses	analysis	NOUN
flr-675	258	19	.	.	PUNCT
flr-675	259	1	secondly	secondly	ADV
flr-675	259	2	,	,	PUNCT
flr-675	259	3	if	if	SCONJ
flr-675	259	4	readers	reader	NOUN
flr-675	259	5	make	make	VERB
flr-675	259	6	the	the	DET
flr-675	259	7	assumption	assumption	NOUN
flr-675	259	8	that	that	SCONJ
flr-675	259	9	associations	association	NOUN
flr-675	259	10	found	find	VERB
flr-675	259	11	at	at	ADP
flr-675	259	12	the	the	DET
flr-675	259	13	group	group	NOUN
flr-675	259	14	level	level	NOUN
flr-675	259	15	apply	apply	VERB
flr-675	259	16	to	to	ADP
flr-675	259	17	the	the	DET
flr-675	259	18	individuals	individual	NOUN
flr-675	259	19	within	within	ADP
flr-675	259	20	such	such	ADJ
flr-675	259	21	groups	group	NOUN
flr-675	259	22	,	,	PUNCT
flr-675	259	23	they	they	PRON
flr-675	259	24	will	will	AUX
flr-675	259	25	encounter	encounter	VERB
flr-675	259	26	the	the	DET
flr-675	259	27	ecological	ecological	ADJ
flr-675	259	28	fallacy	fallacy	NOUN
flr-675	259	29	(	(	PUNCT
flr-675	259	30	freedman	freedman	PROPN
flr-675	259	31	,	,	PUNCT
flr-675	259	32	1999	1999	NUM
flr-675	259	33	)	)	PUNCT
flr-675	259	34	.	.	PUNCT
flr-675	260	1	if	if	SCONJ
flr-675	260	2	an	an	DET
flr-675	260	3	analysis	analysis	NOUN
flr-675	260	4	of	of	ADP
flr-675	260	5	this	this	DET
flr-675	260	6	same	same	ADJ
flr-675	260	7	data	datum	NOUN
flr-675	260	8	at	at	ADP
flr-675	260	9	an	an	DET
flr-675	260	10	individual	individual	ADJ
flr-675	260	11	level	level	NOUN
flr-675	260	12	leads	lead	VERB
flr-675	260	13	to	to	ADP
flr-675	260	14	different	different	ADJ
flr-675	260	15	findings	finding	NOUN
flr-675	260	16	,	,	PUNCT
flr-675	260	17	ecological	ecological	ADJ
flr-675	260	18	bias	bias	NOUN
flr-675	260	19	has	have	AUX
flr-675	260	20	occurred	occur	VERB
flr-675	260	21	.	.	PUNCT
flr-675	261	1	tutorials	tutorial	NOUN
flr-675	261	2	3	3	NUM
flr-675	261	3	and	and	CCONJ
flr-675	261	4	4	4	NUM
flr-675	261	5	show	show	VERB
flr-675	261	6	how	how	SCONJ
flr-675	261	7	analyses	analysis	NOUN
flr-675	261	8	of	of	ADP
flr-675	261	9	aggregated	aggregate	VERB
flr-675	261	10	data	datum	NOUN
flr-675	261	11	can	can	AUX
flr-675	261	12	enable	enable	VERB
flr-675	261	13	the	the	DET
flr-675	261	14	introduction	introduction	NOUN
flr-675	261	15	of	of	ADP
flr-675	261	16	group	group	NOUN
flr-675	261	17	-	-	PUNCT
flr-675	261	18	level	level	NOUN
flr-675	261	19	(	(	PUNCT
flr-675	261	20	i.e.	i.e.	X
flr-675	261	21	mesoand	mesoand	NOUN
flr-675	261	22	macro	macro	NOUN
flr-675	261	23	-	-	NOUN
flr-675	261	24	level	level	NOUN
flr-675	261	25	)	)	PUNCT
flr-675	261	26	variables	variable	NOUN
flr-675	261	27	,	,	PUNCT
flr-675	261	28	which	which	PRON
flr-675	261	29	are	be	AUX
flr-675	261	30	not	not	PART
flr-675	261	31	able	able	ADJ
flr-675	261	32	to	to	PART
flr-675	261	33	be	be	AUX
flr-675	261	34	incorporated	incorporate	VERB
flr-675	261	35	into	into	ADP
flr-675	261	36	the	the	DET
flr-675	261	37	individual	individual	ADJ
flr-675	261	38	-	-	PUNCT
flr-675	261	39	level	level	NOUN
flr-675	261	40	analyses	analysis	NOUN
flr-675	261	41	in	in	ADP
flr-675	261	42	tutorials	tutorial	NOUN
flr-675	261	43	1	1	NUM
flr-675	261	44	and	and	CCONJ
flr-675	261	45	2	2	NUM
flr-675	261	46	.	.	PUNCT
flr-675	261	47	because	because	SCONJ
flr-675	261	48	mesoand	mesoand	NOUN
flr-675	261	49	macro	macro	ADJ
flr-675	261	50	-	-	ADJ
flr-675	261	51	level	level	ADJ
flr-675	261	52	explanatory	explanatory	ADJ
flr-675	261	53	factors	factor	NOUN
flr-675	261	54	manifest	manifest	VERB
flr-675	261	55	at	at	ADP
flr-675	261	56	the	the	DET
flr-675	261	57	group	group	NOUN
flr-675	261	58	level	level	NOUN
flr-675	261	59	,	,	PUNCT
flr-675	261	60	these	these	DET
flr-675	261	61	variables	variable	NOUN
flr-675	261	62	are	be	AUX
flr-675	261	63	not	not	PART
flr-675	261	64	simply	simply	ADV
flr-675	261	65	individual	individual	ADJ
flr-675	261	66	-	-	PUNCT
flr-675	261	67	level	level	NOUN
flr-675	261	68	variables	variable	NOUN
flr-675	261	69	that	that	PRON
flr-675	261	70	have	have	AUX
flr-675	261	71	been	be	AUX
flr-675	261	72	aggregated	aggregate	VERB
flr-675	261	73	.	.	PUNCT
flr-675	262	1	therefore	therefore	ADV
flr-675	262	2	,	,	PUNCT
flr-675	262	3	we	we	PRON
flr-675	262	4	were	be	AUX
flr-675	262	5	not	not	PART
flr-675	262	6	attempting	attempt	VERB
flr-675	262	7	to	to	PART
flr-675	262	8	draw	draw	VERB
flr-675	262	9	micro	micro	ADJ
flr-675	262	10	-	-	NOUN
flr-675	262	11	level	level	ADJ
flr-675	262	12	conclusions	conclusion	NOUN
flr-675	262	13	about	about	ADP
flr-675	262	14	individuals	individual	NOUN
flr-675	262	15	with	with	ADP
flr-675	262	16	aggregated	aggregated	ADJ
flr-675	262	17	data	datum	NOUN
flr-675	262	18	,	,	PUNCT
flr-675	262	19	so	so	SCONJ
flr-675	262	20	we	we	PRON
flr-675	262	21	should	should	AUX
flr-675	262	22	not	not	PART
flr-675	262	23	be	be	AUX
flr-675	262	24	committing	commit	VERB
flr-675	262	25	the	the	DET
flr-675	262	26	ecological	ecological	ADJ
flr-675	262	27	fallacy	fallacy	NOUN
flr-675	262	28	,	,	PUNCT
flr-675	262	29	because	because	SCONJ
flr-675	262	30	the	the	DET
flr-675	262	31	group	group	NOUN
flr-675	262	32	level	level	NOUN
flr-675	262	33	is	be	AUX
flr-675	262	34	the	the	DET
flr-675	262	35	level	level	NOUN
flr-675	262	36	of	of	ADP
flr-675	262	37	interest	interest	NOUN
flr-675	262	38	(	(	PUNCT
flr-675	262	39	schwartz	schwartz	NOUN
flr-675	262	40	,	,	PUNCT
flr-675	262	41	1994	1994	NUM
flr-675	262	42	)	)	PUNCT
flr-675	262	43	.	.	PUNCT
flr-675	263	1	however	however	ADV
flr-675	263	2	,	,	PUNCT
flr-675	263	3	readers	reader	NOUN
flr-675	263	4	should	should	AUX
flr-675	263	5	be	be	AUX
flr-675	263	6	careful	careful	ADJ
flr-675	263	7	to	to	PART
flr-675	263	8	avoid	avoid	VERB
flr-675	263	9	simply	simply	ADV
flr-675	263	10	aggregating	aggregate	VERB
flr-675	263	11	individual	individual	ADJ
flr-675	263	12	-	-	PUNCT
flr-675	263	13	level	level	NOUN
flr-675	263	14	covariates	covariate	NOUN
flr-675	263	15	for	for	ADP
flr-675	263	16	use	use	NOUN
flr-675	263	17	with	with	ADP
flr-675	263	18	aggregated	aggregate	VERB
flr-675	263	19	student	student	NOUN
flr-675	263	20	data	datum	NOUN
flr-675	263	21	in	in	ADP
flr-675	263	22	order	order	NOUN
flr-675	263	23	to	to	PART
flr-675	263	24	avoid	avoid	VERB
flr-675	263	25	committing	commit	VERB
flr-675	263	26	this	this	DET
flr-675	263	27	fallacy	fallacy	NOUN
flr-675	263	28	.	.	PUNCT
flr-675	264	1	finally	finally	ADV
flr-675	264	2	,	,	PUNCT
flr-675	264	3	we	we	PRON
flr-675	264	4	do	do	AUX
flr-675	264	5	not	not	PART
flr-675	264	6	see	see	VERB
flr-675	264	7	the	the	DET
flr-675	264	8	discussed	discuss	VERB
flr-675	264	9	approaches	approach	NOUN
flr-675	264	10	to	to	ADP
flr-675	264	11	gathering	gather	VERB
flr-675	264	12	and	and	CCONJ
flr-675	264	13	analysing	analyse	VERB
flr-675	264	14	quantitative	quantitative	ADJ
flr-675	264	15	evidence	evidence	NOUN
flr-675	264	16	as	as	ADP
flr-675	264	17	replacing	replace	VERB
flr-675	264	18	rich	rich	ADJ
flr-675	264	19	qualitative	qualitative	ADJ
flr-675	264	20	research	research	NOUN
flr-675	264	21	on	on	ADP
flr-675	264	22	differential	differential	ADJ
flr-675	264	23	student	student	NOUN
flr-675	264	24	outcomes	outcome	NOUN
flr-675	264	25	.	.	PUNCT
flr-675	265	1	qualitative	qualitative	ADJ
flr-675	265	2	data	datum	NOUN
flr-675	265	3	may	may	AUX
flr-675	265	4	be	be	AUX
flr-675	265	5	needed	need	VERB
flr-675	265	6	to	to	PART
flr-675	265	7	make	make	VERB
flr-675	265	8	sense	sense	NOUN
flr-675	265	9	of	of	ADP
flr-675	265	10	what	what	PRON
flr-675	265	11	the	the	DET
flr-675	265	12	quantitative	quantitative	ADJ
flr-675	265	13	findings	finding	NOUN
flr-675	265	14	show	show	VERB
flr-675	265	15	.	.	PUNCT
flr-675	266	1	for	for	ADP
flr-675	266	2	example	example	NOUN
flr-675	266	3	,	,	PUNCT
flr-675	266	4	if	if	SCONJ
flr-675	266	5	a	a	DET
flr-675	266	6	factor	factor	NOUN
flr-675	266	7	is	be	AUX
flr-675	266	8	strongly	strongly	ADV
flr-675	266	9	associated	associate	VERB
flr-675	266	10	with	with	ADP
flr-675	266	11	the	the	DET
flr-675	266	12	presence	presence	NOUN
flr-675	266	13	of	of	ADP
flr-675	266	14	gaps	gap	NOUN
flr-675	266	15	,	,	PUNCT
flr-675	266	16	focus	focus	NOUN
flr-675	266	17	groups	group	NOUN
flr-675	266	18	could	could	AUX
flr-675	266	19	be	be	AUX
flr-675	266	20	held	hold	VERB
flr-675	266	21	with	with	ADP
flr-675	266	22	students	student	NOUN
flr-675	266	23	and	and	CCONJ
flr-675	266	24	teaching	teach	VERB
flr-675	266	25	staff	staff	NOUN
flr-675	266	26	in	in	ADP
flr-675	266	27	areas	area	NOUN
flr-675	266	28	where	where	SCONJ
flr-675	266	29	that	that	DET
flr-675	266	30	factor	factor	NOUN
flr-675	266	31	is	be	AUX
flr-675	266	32	particularly	particularly	ADV
flr-675	266	33	prevalent	prevalent	ADJ
flr-675	266	34	to	to	PART
flr-675	266	35	learn	learn	VERB
flr-675	266	36	more	more	ADJ
flr-675	266	37	about	about	ADP
flr-675	266	38	the	the	DET
flr-675	266	39	mechanisms	mechanism	NOUN
flr-675	266	40	impacting	impact	VERB
flr-675	266	41	on	on	ADP
flr-675	266	42	that	that	DET
flr-675	266	43	factor	factor	NOUN
flr-675	266	44	.	.	PUNCT
flr-675	267	1	as	as	ADP
flr-675	267	2	a	a	DET
flr-675	267	3	result	result	NOUN
flr-675	267	4	of	of	ADP
flr-675	267	5	the	the	DET
flr-675	267	6	discussed	discuss	VERB
flr-675	267	7	issues	issue	NOUN
flr-675	267	8	,	,	PUNCT
flr-675	267	9	these	these	DET
flr-675	267	10	analyses	analysis	NOUN
flr-675	267	11	alone	alone	ADV
flr-675	267	12	could	could	AUX
flr-675	267	13	never	never	ADV
flr-675	267	14	tell	tell	VERB
flr-675	267	15	the	the	DET
flr-675	267	16	complete	complete	ADJ
flr-675	267	17	story	story	NOUN
flr-675	267	18	,	,	PUNCT
flr-675	267	19	so	so	SCONJ
flr-675	267	20	we	we	PRON
flr-675	267	21	advise	advise	VERB
flr-675	267	22	that	that	SCONJ
flr-675	267	23	results	result	NOUN
flr-675	267	24	only	only	ADV
flr-675	267	25	be	be	AUX
flr-675	267	26	used	use	VERB
flr-675	267	27	to	to	PART
flr-675	267	28	highlight	highlight	VERB
flr-675	267	29	specific	specific	ADJ
flr-675	267	30	variables	variable	NOUN
flr-675	267	31	of	of	ADP
flr-675	267	32	interest	interest	NOUN
flr-675	267	33	for	for	ADP
flr-675	267	34	further	further	ADJ
flr-675	267	35	investigation	investigation	NOUN
flr-675	267	36	or	or	CCONJ
flr-675	267	37	to	to	PART
flr-675	267	38	focus	focus	VERB
flr-675	267	39	the	the	DET
flr-675	267	40	design	design	NOUN
flr-675	267	41	of	of	ADP
flr-675	267	42	novel	novel	ADJ
flr-675	267	43	interventions	intervention	NOUN
flr-675	267	44	.	.	PUNCT
flr-675	268	1	5	5	X
flr-675	268	2	.	.	X
flr-675	268	3	summary	summary	NOUN
flr-675	268	4	and	and	CCONJ
flr-675	268	5	recommendations	recommendation	NOUN
flr-675	268	6	we	we	PRON
flr-675	268	7	anticipate	anticipate	VERB
flr-675	268	8	that	that	SCONJ
flr-675	268	9	the	the	DET
flr-675	268	10	guidance	guidance	NOUN
flr-675	268	11	presented	present	VERB
flr-675	268	12	in	in	ADP
flr-675	268	13	this	this	DET
flr-675	268	14	primer	primer	NOUN
flr-675	268	15	can	can	AUX
flr-675	268	16	enable	enable	VERB
flr-675	268	17	universities	university	NOUN
flr-675	268	18	to	to	PART
flr-675	268	19	take	take	VERB
flr-675	268	20	a	a	DET
flr-675	268	21	more	more	ADV
flr-675	268	22	proactive	proactive	ADJ
flr-675	268	23	approach	approach	NOUN
flr-675	268	24	to	to	ADP
flr-675	268	25	monitoring	monitor	VERB
flr-675	268	26	and	and	CCONJ
flr-675	268	27	reducing	reduce	VERB
flr-675	268	28	gaps	gap	NOUN
flr-675	268	29	.	.	PUNCT
flr-675	269	1	gathering	gather	VERB
flr-675	269	2	data	datum	NOUN
flr-675	269	3	on	on	ADP
flr-675	269	4	explanatory	explanatory	ADJ
flr-675	269	5	factors	factor	NOUN
flr-675	269	6	to	to	PART
flr-675	269	7	which	which	PRON
flr-675	269	8	many	many	ADJ
flr-675	269	9	institutions	institution	NOUN
flr-675	269	10	already	already	ADV
flr-675	269	11	have	have	VERB
flr-675	269	12	access	access	NOUN
flr-675	269	13	,	,	PUNCT
flr-675	269	14	and	and	CCONJ
flr-675	269	15	integrating	integrate	VERB
flr-675	269	16	these	these	PRON
flr-675	269	17	with	with	ADP
flr-675	269	18	existing	exist	VERB
flr-675	269	19	institutional	institutional	ADJ
flr-675	269	20	data	datum	NOUN
flr-675	269	21	on	on	ADP
flr-675	269	22	differential	differential	ADJ
flr-675	269	23	outcomes	outcome	NOUN
flr-675	269	24	,	,	PUNCT
flr-675	269	25	can	can	AUX
flr-675	269	26	only	only	ADV
flr-675	269	27	enhance	enhance	VERB
flr-675	269	28	the	the	DET
flr-675	269	29	sophistication	sophistication	NOUN
flr-675	269	30	of	of	ADP
flr-675	269	31	any	any	DET
flr-675	269	32	analyses	analysis	NOUN
flr-675	269	33	.	.	PUNCT
flr-675	270	1	to	to	PART
flr-675	270	2	elucidate	elucidate	VERB
flr-675	270	3	this	this	DET
flr-675	270	4	point	point	NOUN
flr-675	270	5	,	,	PUNCT
flr-675	270	6	we	we	PRON
flr-675	270	7	can	can	AUX
flr-675	270	8	look	look	VERB
flr-675	270	9	at	at	ADP
flr-675	270	10	the	the	DET
flr-675	270	11	hypothetical	hypothetical	ADJ
flr-675	270	12	findings	finding	NOUN
flr-675	270	13	of	of	ADP
flr-675	270	14	the	the	DET
flr-675	270	15	four	four	NUM
flr-675	270	16	illustrative	illustrative	ADJ
flr-675	270	17	examples	example	NOUN
flr-675	270	18	;	;	PUNCT
flr-675	270	19	although	although	SCONJ
flr-675	270	20	they	they	PRON
flr-675	270	21	do	do	AUX
flr-675	270	22	not	not	PART
flr-675	270	23	draw	draw	VERB
flr-675	270	24	on	on	ADP
flr-675	270	25	real	real	ADJ
flr-675	270	26	data	datum	NOUN
flr-675	270	27	,	,	PUNCT
flr-675	270	28	if	if	SCONJ
flr-675	270	29	the	the	DET
flr-675	270	30	findings	finding	NOUN
flr-675	270	31	were	be	AUX
flr-675	270	32	real	real	ADJ
flr-675	270	33	we	we	PRON
flr-675	270	34	could	could	AUX
flr-675	270	35	conclude	conclude	VERB
flr-675	270	36	that	that	PRON
flr-675	270	37	attainment	attainment	NOUN
flr-675	270	38	and	and	CCONJ
flr-675	270	39	continuation	continuation	NOUN
flr-675	270	40	gaps	gap	NOUN
flr-675	270	41	are	be	AUX
flr-675	270	42	present	present	ADJ
flr-675	270	43	in	in	ADP
flr-675	270	44	the	the	DET
flr-675	270	45	data	data	NOUN
flr-675	270	46	sets	set	NOUN
flr-675	270	47	and	and	CCONJ
flr-675	270	48	a	a	DET
flr-675	270	49	range	range	NOUN
flr-675	270	50	of	of	ADP
flr-675	270	51	microand	microand	NOUN
flr-675	270	52	meso	meso	NOUN
flr-675	270	53	-	-	PUNCT
flr-675	270	54	factors	factor	NOUN
flr-675	270	55	can	can	AUX
flr-675	270	56	account	account	VERB
flr-675	270	57	for	for	ADP
flr-675	270	58	these	these	DET
flr-675	270	59	gaps	gap	NOUN
flr-675	270	60	,	,	PUNCT
flr-675	270	61	including	include	VERB
flr-675	270	62	students	student	NOUN
flr-675	270	63	’	'	PUNCT
flr-675	270	64	entry	entry	NOUN
flr-675	270	65	qualification	qualification	NOUN
flr-675	270	66	,	,	PUNCT
flr-675	270	67	prior	prior	ADJ
flr-675	270	68	attainment	attainment	NOUN
flr-675	270	69	,	,	PUNCT
flr-675	270	70	their	their	PRON
flr-675	270	71	sense	sense	NOUN
flr-675	270	72	of	of	ADP
flr-675	270	73	belonging	belong	VERB
flr-675	270	74	to	to	ADP
flr-675	270	75	the	the	DET
flr-675	270	76	university	university	NOUN
flr-675	270	77	,	,	PUNCT
flr-675	270	78	their	their	PRON
flr-675	270	79	year	year	NOUN
flr-675	270	80	of	of	ADP
flr-675	270	81	study	study	NOUN
flr-675	270	82	,	,	PUNCT
flr-675	270	83	the	the	DET
flr-675	270	84	amount	amount	NOUN
flr-675	270	85	of	of	ADP
flr-675	270	86	independent	independent	ADJ
flr-675	270	87	study	study	NOUN
flr-675	270	88	time	time	NOUN
flr-675	270	89	expected	expect	VERB
flr-675	270	90	of	of	ADP
flr-675	270	91	them	they	PRON
flr-675	270	92	,	,	PUNCT
flr-675	270	93	and	and	CCONJ
flr-675	270	94	whether	whether	SCONJ
flr-675	270	95	there	there	PRON
flr-675	270	96	is	be	VERB
flr-675	270	97	a	a	DET
flr-675	270	98	policy	policy	NOUN
flr-675	270	99	of	of	ADP
flr-675	270	100	attendance	attendance	NOUN
flr-675	270	101	contributing	contribute	VERB
flr-675	270	102	to	to	ADP
flr-675	270	103	their	their	PRON
flr-675	270	104	grades	grade	NOUN
flr-675	270	105	.	.	PUNCT
flr-675	271	1	in	in	ADP
flr-675	271	2	relation	relation	NOUN
flr-675	271	3	to	to	ADP
flr-675	271	4	the	the	DET
flr-675	271	5	conceptual	conceptual	ADJ
flr-675	271	6	model	model	NOUN
flr-675	271	7	in	in	ADP
flr-675	271	8	figure	figure	NOUN
flr-675	271	9	1	1	NUM
flr-675	271	10	,	,	PUNCT
flr-675	271	11	these	these	DET
flr-675	271	12	findings	finding	NOUN
flr-675	271	13	would	would	AUX
flr-675	271	14	highlight	highlight	VERB
flr-675	271	15	the	the	DET
flr-675	271	16	specific	specific	ADJ
flr-675	271	17	aspects	aspect	NOUN
flr-675	271	18	of	of	ADP
flr-675	271	19	curriculum	curriculum	NOUN
flr-675	271	20	and	and	CCONJ
flr-675	271	21	assessment	assessment	NOUN
flr-675	271	22	factors	factor	NOUN
flr-675	271	23	that	that	PRON
flr-675	271	24	play	play	VERB
flr-675	271	25	a	a	DET
flr-675	271	26	role	role	NOUN
flr-675	271	27	in	in	ADP
flr-675	271	28	differential	differential	ADJ
flr-675	271	29	outcomes	outcome	NOUN
flr-675	271	30	,	,	PUNCT
flr-675	271	31	rather	rather	ADV
flr-675	271	32	than	than	ADP
flr-675	271	33	only	only	ADV
flr-675	271	34	viewing	view	VERB
flr-675	271	35	this	this	PRON
flr-675	271	36	in	in	ADP
flr-675	271	37	terms	term	NOUN
flr-675	271	38	of	of	ADP
flr-675	271	39	the	the	DET
flr-675	271	40	broad	broad	ADJ
flr-675	271	41	categories	category	NOUN
flr-675	271	42	of	of	ADP
flr-675	271	43	‘	'	PUNCT
flr-675	271	44	curriculum	curriculum	NOUN
flr-675	271	45	’	'	PUNCT
flr-675	271	46	and	and	CCONJ
flr-675	271	47	‘	'	PUNCT
flr-675	271	48	assessment	assessment	NOUN
flr-675	271	49	’	'	PUNCT
flr-675	271	50	.	.	PUNCT
flr-675	272	1	the	the	DET
flr-675	272	2	meta	meta	ADJ
flr-675	272	3	-	-	PUNCT
flr-675	272	4	regression	regression	NOUN
flr-675	272	5	techniques	technique	NOUN
flr-675	272	6	are	be	AUX
flr-675	272	7	also	also	ADV
flr-675	272	8	novel	novel	ADJ
flr-675	272	9	and	and	CCONJ
flr-675	272	10	parsimonious	parsimonious	ADJ
flr-675	272	11	ways	way	NOUN
flr-675	272	12	of	of	ADP
flr-675	272	13	directly	directly	ADV
flr-675	272	14	analysing	analyse	VERB
flr-675	272	15	attainment	attainment	ADJ
flr-675	272	16	and	and	CCONJ
flr-675	272	17	continuation	continuation	NOUN
flr-675	272	18	gaps	gap	NOUN
flr-675	272	19	using	use	VERB
flr-675	272	20	aggregated	aggregate	VERB
flr-675	272	21	data	datum	NOUN
flr-675	272	22	that	that	PRON
flr-675	272	23	avoid	avoid	VERB
flr-675	272	24	issues	issue	NOUN
flr-675	272	25	with	with	ADP
flr-675	272	26	data	datum	NOUN
flr-675	272	27	privacy	privacy	NOUN
flr-675	272	28	.	.	PUNCT
flr-675	273	1	as	as	ADP
flr-675	273	2	a	a	DET
flr-675	273	3	result	result	NOUN
flr-675	273	4	,	,	PUNCT
flr-675	273	5	we	we	PRON
flr-675	273	6	believe	believe	VERB
flr-675	273	7	this	this	DET
flr-675	273	8	primer	primer	NOUN
flr-675	273	9	will	will	AUX
flr-675	273	10	be	be	AUX
flr-675	273	11	of	of	ADP
flr-675	273	12	particular	particular	ADJ
flr-675	273	13	interest	interest	NOUN
flr-675	273	14	to	to	PART
flr-675	273	15	staff	staff	VERB
flr-675	273	16	with	with	ADP
flr-675	273	17	strategic	strategic	ADJ
flr-675	273	18	responsibilities	responsibility	NOUN
flr-675	273	19	who	who	PRON
flr-675	273	20	report	report	VERB
flr-675	273	21	on	on	ADP
flr-675	273	22	the	the	DET
flr-675	273	23	presence	presence	NOUN
flr-675	273	24	of	of	ADP
flr-675	273	25	gaps	gap	NOUN
flr-675	273	26	within	within	ADP
flr-675	273	27	their	their	PRON
flr-675	273	28	institution	institution	NOUN
flr-675	273	29	.	.	PUNCT
flr-675	274	1	our	our	PRON
flr-675	274	2	guidance	guidance	NOUN
flr-675	274	3	should	should	AUX
flr-675	274	4	raise	raise	VERB
flr-675	274	5	awareness	awareness	NOUN
flr-675	274	6	around	around	ADP
flr-675	274	7	the	the	DET
flr-675	274	8	causes	cause	NOUN
flr-675	274	9	of	of	ADP
flr-675	274	10	differential	differential	ADJ
flr-675	274	11	outcomes	outcome	NOUN
flr-675	274	12	and	and	CCONJ
flr-675	274	13	enable	enable	VERB
flr-675	274	14	these	these	DET
flr-675	274	15	staff	staff	NOUN
flr-675	274	16	to	to	PART
flr-675	274	17	provide	provide	VERB
flr-675	274	18	teaching	teaching	NOUN
flr-675	274	19	staff	staff	NOUN
flr-675	274	20	with	with	ADP
flr-675	274	21	more	more	ADV
flr-675	274	22	nuanced	nuanced	ADJ
flr-675	274	23	evidence	evidence	NOUN
flr-675	274	24	that	that	PRON
flr-675	274	25	can	can	AUX
flr-675	274	26	be	be	AUX
flr-675	274	27	used	use	VERB
flr-675	274	28	for	for	ADP
flr-675	274	29	focusing	focus	VERB
flr-675	274	30	conversations	conversation	NOUN
flr-675	274	31	around	around	ADP
flr-675	274	32	issues	issue	NOUN
flr-675	274	33	that	that	PRON
flr-675	274	34	have	have	AUX
flr-675	274	35	been	be	AUX
flr-675	274	36	identified	identify	VERB
flr-675	274	37	and	and	CCONJ
flr-675	274	38	designing	design	VERB
flr-675	274	39	context	context	NOUN
flr-675	274	40	-	-	PUNCT
flr-675	274	41	specific	specific	ADJ
flr-675	274	42	interventions	intervention	NOUN
flr-675	274	43	,	,	PUNCT
flr-675	274	44	whether	whether	SCONJ
flr-675	274	45	these	these	PRON
flr-675	274	46	are	be	AUX
flr-675	274	47	universal	universal	ADJ
flr-675	274	48	or	or	CCONJ
flr-675	274	49	targeted	target	VERB
flr-675	274	50	at	at	ADP
flr-675	274	51	specific	specific	ADJ
flr-675	274	52	student	student	NOUN
flr-675	274	53	groups	group	NOUN
flr-675	274	54	.	.	PUNCT
flr-675	275	1	for	for	ADP
flr-675	275	2	example	example	NOUN
flr-675	275	3	,	,	PUNCT
flr-675	275	4	based	base	VERB
flr-675	275	5	on	on	ADP
flr-675	275	6	the	the	DET
flr-675	275	7	hypothetical	hypothetical	ADJ
flr-675	275	8	findings	finding	NOUN
flr-675	275	9	from	from	ADP
flr-675	275	10	the	the	DET
flr-675	275	11	illustrative	illustrative	ADJ
flr-675	275	12	examples	example	NOUN
flr-675	275	13	,	,	PUNCT
flr-675	275	14	teaching	teaching	NOUN
flr-675	275	15	staff	staff	NOUN
flr-675	275	16	might	might	AUX
flr-675	275	17	decide	decide	VERB
flr-675	275	18	to	to	PART
flr-675	275	19	speak	speak	VERB
flr-675	275	20	with	with	ADP
flr-675	275	21	students	student	NOUN
flr-675	275	22	about	about	ADP
flr-675	275	23	how	how	SCONJ
flr-675	275	24	they	they	PRON
flr-675	275	25	feel	feel	VERB
flr-675	275	26	about	about	ADP
flr-675	275	27	the	the	DET
flr-675	275	28	balance	balance	NOUN
flr-675	275	29	of	of	ADP
flr-675	275	30	independent	independent	ADJ
flr-675	275	31	study	study	NOUN
flr-675	275	32	time	time	NOUN
flr-675	275	33	in	in	ADP
flr-675	275	34	their	their	PRON
flr-675	275	35	modules	module	NOUN
flr-675	275	36	and	and	CCONJ
flr-675	275	37	any	any	DET
flr-675	275	38	policies	policy	NOUN
flr-675	275	39	around	around	ADP
flr-675	275	40	attendance	attendance	NOUN
flr-675	275	41	contributing	contribute	VERB
flr-675	275	42	to	to	ADP
flr-675	275	43	their	their	PRON
flr-675	275	44	grades	grade	NOUN
flr-675	275	45	.	.	PUNCT
flr-675	276	1	interventions	intervention	NOUN
flr-675	276	2	might	might	AUX
flr-675	276	3	then	then	ADV
flr-675	276	4	be	be	AUX
flr-675	276	5	designed	design	VERB
flr-675	276	6	based	base	VERB
flr-675	276	7	on	on	ADP
flr-675	276	8	these	these	DET
flr-675	276	9	aspects	aspect	NOUN
flr-675	276	10	of	of	ADP
flr-675	276	11	the	the	DET
flr-675	276	12	curriculum	curriculum	NOUN
flr-675	276	13	and	and	CCONJ
flr-675	276	14	assessment	assessment	NOUN
flr-675	276	15	.	.	PUNCT
flr-675	277	1	this	this	DET
flr-675	277	2	evidence	evidence	NOUN
flr-675	277	3	is	be	AUX
flr-675	277	4	likely	likely	ADJ
flr-675	277	5	to	to	PART
flr-675	277	6	be	be	AUX
flr-675	277	7	relevant	relevant	ADJ
flr-675	277	8	to	to	ADP
flr-675	277	9	specific	specific	ADJ
flr-675	277	10	modules	module	NOUN
flr-675	277	11	/	/	SYM
flr-675	277	12	programmes	programme	NOUN
flr-675	277	13	/	/	SYM
flr-675	277	14	disciplines	discipline	NOUN
flr-675	277	15	,	,	PUNCT
flr-675	277	16	so	so	ADV
flr-675	277	17	rather	rather	ADV
flr-675	277	18	than	than	ADP
flr-675	277	19	just	just	ADV
flr-675	277	20	replicating	replicate	VERB
flr-675	277	21	current	current	ADJ
flr-675	277	22	interventions	intervention	NOUN
flr-675	277	23	that	that	PRON
flr-675	277	24	may	may	AUX
flr-675	277	25	only	only	ADV
flr-675	277	26	be	be	AUX
flr-675	277	27	effective	effective	ADJ
flr-675	277	28	within	within	ADP
flr-675	277	29	specific	specific	ADJ
flr-675	277	30	contexts	contexts	NOUN
flr-675	277	31	,	,	PUNCT
flr-675	277	32	findings	finding	NOUN
flr-675	277	33	from	from	ADP
flr-675	277	34	analyses	analysis	NOUN
flr-675	277	35	could	could	AUX
flr-675	277	36	increase	increase	VERB
flr-675	277	37	institutions	institution	NOUN
flr-675	277	38	’	'	PUNCT
flr-675	277	39	understanding	understanding	NOUN
flr-675	277	40	about	about	ADP
flr-675	277	41	the	the	DET
flr-675	277	42	factors	factor	NOUN
flr-675	277	43	that	that	PRON
flr-675	277	44	are	be	AUX
flr-675	277	45	salient	salient	ADJ
flr-675	277	46	for	for	ADP
flr-675	277	47	their	their	PRON
flr-675	277	48	own	own	ADJ
flr-675	277	49	students	student	NOUN
flr-675	277	50	.	.	PUNCT
flr-675	278	1	this	this	DET
flr-675	278	2	increased	increase	VERB
flr-675	278	3	precision	precision	NOUN
flr-675	278	4	in	in	ADP
flr-675	278	5	the	the	DET
flr-675	278	6	evidence	evidence	NOUN
flr-675	278	7	-	-	PUNCT
flr-675	278	8	base	base	NOUN
flr-675	278	9	used	use	VERB
flr-675	278	10	for	for	ADP
flr-675	278	11	designing	design	VERB
flr-675	278	12	novel	novel	ADJ
flr-675	278	13	interventions	intervention	NOUN
flr-675	278	14	means	mean	VERB
flr-675	278	15	that	that	SCONJ
flr-675	278	16	there	there	PRON
flr-675	278	17	will	will	AUX
flr-675	278	18	be	be	AUX
flr-675	278	19	less	less	ADJ
flr-675	278	20	investment	investment	NOUN
flr-675	278	21	in	in	ADP
flr-675	278	22	approaches	approach	NOUN
flr-675	278	23	that	that	PRON
flr-675	278	24	are	be	AUX
flr-675	278	25	not	not	PART
flr-675	278	26	likely	likely	ADJ
flr-675	278	27	to	to	PART
flr-675	278	28	work	work	VERB
flr-675	278	29	.	.	PUNCT
flr-675	279	1	implementation	implementation	NOUN
flr-675	279	2	of	of	ADP
flr-675	279	3	the	the	DET
flr-675	279	4	suggested	suggest	VERB
flr-675	279	5	analyses	analysis	NOUN
flr-675	279	6	thus	thus	ADV
flr-675	279	7	represents	represent	VERB
flr-675	279	8	better	well	ADJ
flr-675	279	9	value	value	NOUN
flr-675	279	10	for	for	ADP
flr-675	279	11	money	money	NOUN
flr-675	279	12	in	in	ADP
flr-675	279	13	any	any	DET
flr-675	279	14	initiatives	initiative	NOUN
flr-675	279	15	undertaken	undertake	VERB
flr-675	279	16	by	by	ADP
flr-675	279	17	institutions	institution	NOUN
flr-675	279	18	.	.	PUNCT
flr-675	280	1	furthermore	furthermore	ADV
flr-675	280	2	,	,	PUNCT
flr-675	280	3	this	this	PRON
flr-675	280	4	will	will	AUX
flr-675	280	5	also	also	ADV
flr-675	280	6	assuage	assuage	VERB
flr-675	280	7	deficit	deficit	NOUN
flr-675	280	8	assumptions	assumption	NOUN
flr-675	280	9	that	that	PRON
flr-675	280	10	differential	differential	VERB
flr-675	280	11	outcomes	outcome	NOUN
flr-675	280	12	are	be	AUX
flr-675	280	13	due	due	ADJ
flr-675	280	14	to	to	ADP
flr-675	280	15	student	student	NOUN
flr-675	280	16	deficiencies	deficiency	NOUN
flr-675	280	17	,	,	PUNCT
flr-675	280	18	which	which	PRON
flr-675	280	19	could	could	AUX
flr-675	280	20	be	be	AUX
flr-675	280	21	used	use	VERB
flr-675	280	22	to	to	PART
flr-675	280	23	excuse	excuse	VERB
flr-675	280	24	teaching	teaching	NOUN
flr-675	280	25	staff	staff	NOUN
flr-675	280	26	from	from	ADP
flr-675	280	27	their	their	PRON
flr-675	280	28	own	own	ADJ
flr-675	280	29	responsibilities	responsibility	NOUN
flr-675	280	30	for	for	ADP
flr-675	280	31	attempting	attempt	VERB
flr-675	280	32	to	to	PART
flr-675	280	33	tackle	tackle	VERB
flr-675	280	34	gaps	gap	NOUN
flr-675	280	35	.	.	PUNCT
flr-675	281	1	although	although	SCONJ
flr-675	281	2	this	this	DET
flr-675	281	3	primer	primer	NOUN
flr-675	281	4	particularly	particularly	ADV
flr-675	281	5	attends	attend	VERB
flr-675	281	6	to	to	ADP
flr-675	281	7	opportunities	opportunity	NOUN
flr-675	281	8	for	for	ADP
flr-675	281	9	exploring	explore	VERB
flr-675	281	10	meso	meso	NOUN
flr-675	281	11	-	-	PUNCT
flr-675	281	12	level	level	NOUN
flr-675	281	13	variables	variable	NOUN
flr-675	281	14	,	,	PUNCT
flr-675	281	15	largely	largely	ADV
flr-675	281	16	because	because	SCONJ
flr-675	281	17	these	these	DET
flr-675	281	18	variables	variable	NOUN
flr-675	281	19	are	be	AUX
flr-675	281	20	under	under	ADP
flr-675	281	21	the	the	DET
flr-675	281	22	control	control	NOUN
flr-675	281	23	of	of	ADP
flr-675	281	24	the	the	DET
flr-675	281	25	university	university	NOUN
flr-675	281	26	,	,	PUNCT
flr-675	281	27	there	there	PRON
flr-675	281	28	is	be	VERB
flr-675	281	29	the	the	DET
flr-675	281	30	potential	potential	NOUN
flr-675	281	31	for	for	ADP
flr-675	281	32	analysing	analyse	VERB
flr-675	281	33	cross	cross	ADJ
flr-675	281	34	-	-	ADJ
flr-675	281	35	institutional	institutional	ADJ
flr-675	281	36	data	datum	NOUN
flr-675	281	37	,	,	PUNCT
flr-675	281	38	possibly	possibly	ADV
flr-675	281	39	internationally	internationally	ADV
flr-675	281	40	,	,	PUNCT
flr-675	281	41	to	to	PART
flr-675	281	42	consider	consider	VERB
flr-675	281	43	the	the	DET
flr-675	281	44	role	role	NOUN
flr-675	281	45	of	of	ADP
flr-675	281	46	quantitative	quantitative	ADJ
flr-675	281	47	macro	macro	ADJ
flr-675	281	48	-	-	ADJ
flr-675	281	49	level	level	ADJ
flr-675	281	50	explanatory	explanatory	ADJ
flr-675	281	51	factors	factor	NOUN
flr-675	281	52	in	in	ADP
flr-675	281	53	differential	differential	ADJ
flr-675	281	54	student	student	NOUN
flr-675	281	55	outcomes	outcome	NOUN
flr-675	281	56	.	.	PUNCT
flr-675	282	1	meta	meta	ADJ
flr-675	282	2	-	-	PUNCT
flr-675	282	3	regression	regression	NOUN
flr-675	282	4	techniques	technique	NOUN
flr-675	282	5	in	in	ADP
flr-675	282	6	particular	particular	ADJ
flr-675	282	7	may	may	AUX
flr-675	282	8	support	support	VERB
flr-675	282	9	these	these	DET
flr-675	282	10	endeavours	endeavour	NOUN
flr-675	282	11	,	,	PUNCT
flr-675	282	12	since	since	SCONJ
flr-675	282	13	there	there	PRON
flr-675	282	14	are	be	VERB
flr-675	282	15	likely	likely	ADJ
flr-675	282	16	to	to	PART
flr-675	282	17	be	be	AUX
flr-675	282	18	far	far	ADV
flr-675	282	19	fewer	few	ADJ
flr-675	282	20	issues	issue	NOUN
flr-675	282	21	sharing	share	VERB
flr-675	282	22	aggregated	aggregate	VERB
flr-675	282	23	data	datum	NOUN
flr-675	282	24	between	between	ADP
flr-675	282	25	institutions	institution	NOUN
flr-675	282	26	than	than	SCONJ
flr-675	282	27	there	there	PRON
flr-675	282	28	would	would	AUX
flr-675	282	29	be	be	AUX
flr-675	282	30	with	with	ADP
flr-675	282	31	individual	individual	ADJ
flr-675	282	32	-	-	PUNCT
flr-675	282	33	level	level	NOUN
flr-675	282	34	data	datum	NOUN
flr-675	282	35	.	.	PUNCT
flr-675	283	1	additionally	additionally	ADV
flr-675	283	2	,	,	PUNCT
flr-675	283	3	if	if	SCONJ
flr-675	283	4	metrics	metric	NOUN
flr-675	283	5	for	for	ADP
flr-675	283	6	attainment	attainment	NOUN
flr-675	283	7	and	and	CCONJ
flr-675	283	8	continuation	continuation	NOUN
flr-675	283	9	are	be	AUX
flr-675	283	10	different	different	ADJ
flr-675	283	11	between	between	ADP
flr-675	283	12	institutions	institution	NOUN
flr-675	283	13	,	,	PUNCT
flr-675	283	14	it	it	PRON
flr-675	283	15	is	be	AUX
flr-675	283	16	possible	possible	ADJ
flr-675	283	17	to	to	PART
flr-675	283	18	standardise	standardise	VERB
flr-675	283	19	them	they	PRON
flr-675	283	20	for	for	ADP
flr-675	283	21	comparison	comparison	NOUN
flr-675	283	22	using	use	VERB
flr-675	283	23	these	these	DET
flr-675	283	24	techniques	technique	NOUN
flr-675	283	25	.	.	PUNCT
flr-675	284	1	cross	cross	ADJ
flr-675	284	2	-	-	ADJ
flr-675	284	3	institutional	institutional	ADJ
flr-675	284	4	comparisons	comparison	NOUN
flr-675	284	5	would	would	AUX
flr-675	284	6	enable	enable	VERB
flr-675	284	7	a	a	DET
flr-675	284	8	better	well	ADJ
flr-675	284	9	understanding	understanding	NOUN
flr-675	284	10	of	of	ADP
flr-675	284	11	how	how	SCONJ
flr-675	284	12	institution	institution	NOUN
flr-675	284	13	type	type	NOUN
flr-675	284	14	and	and	CCONJ
flr-675	284	15	context	context	NOUN
flr-675	284	16	impact	impact	NOUN
flr-675	284	17	on	on	ADP
flr-675	284	18	gaps	gap	NOUN
flr-675	284	19	.	.	PUNCT
flr-675	285	1	finally	finally	ADV
flr-675	285	2	,	,	PUNCT
flr-675	285	3	beyond	beyond	ADP
flr-675	285	4	the	the	DET
flr-675	285	5	practical	practical	ADJ
flr-675	285	6	implications	implication	NOUN
flr-675	285	7	discussed	discuss	VERB
flr-675	285	8	,	,	PUNCT
flr-675	285	9	an	an	DET
flr-675	285	10	important	important	ADJ
flr-675	285	11	contribution	contribution	NOUN
flr-675	285	12	of	of	ADP
flr-675	285	13	this	this	DET
flr-675	285	14	primer	primer	NOUN
flr-675	285	15	for	for	ADP
flr-675	285	16	researchers	researcher	NOUN
flr-675	285	17	is	be	AUX
flr-675	285	18	that	that	SCONJ
flr-675	285	19	it	it	PRON
flr-675	285	20	provides	provide	VERB
flr-675	285	21	them	they	PRON
flr-675	285	22	with	with	ADP
flr-675	285	23	methods	method	NOUN
flr-675	285	24	to	to	PART
flr-675	285	25	extend	extend	VERB
flr-675	285	26	the	the	DET
flr-675	285	27	literature	literature	NOUN
flr-675	285	28	on	on	ADP
flr-675	285	29	differential	differential	ADJ
flr-675	285	30	outcomes	outcome	NOUN
flr-675	285	31	,	,	PUNCT
flr-675	285	32	potentially	potentially	ADV
flr-675	285	33	uncovering	uncover	VERB
flr-675	285	34	new	new	ADJ
flr-675	285	35	insights	insight	NOUN
flr-675	285	36	about	about	ADP
flr-675	285	37	multi	multi	ADJ
flr-675	285	38	-	-	ADJ
flr-675	285	39	level	level	ADJ
flr-675	285	40	causes	cause	NOUN
flr-675	285	41	of	of	ADP
flr-675	285	42	attainment	attainment	NOUN
flr-675	285	43	and	and	CCONJ
flr-675	285	44	continuation	continuation	NOUN
flr-675	285	45	gaps	gap	NOUN
flr-675	285	46	.	.	PUNCT
flr-675	286	1	one	one	NUM
flr-675	286	2	way	way	NOUN
flr-675	286	3	researchers	researcher	NOUN
flr-675	286	4	could	could	AUX
flr-675	286	5	do	do	VERB
flr-675	286	6	this	this	PRON
flr-675	286	7	is	be	AUX
flr-675	286	8	by	by	ADP
flr-675	286	9	considering	consider	VERB
flr-675	286	10	how	how	SCONJ
flr-675	286	11	to	to	PART
flr-675	286	12	operationalise	operationalise	VERB
flr-675	286	13	some	some	PRON
flr-675	286	14	of	of	ADP
flr-675	286	15	the	the	DET
flr-675	286	16	microand	microand	NOUN
flr-675	286	17	meso	meso	NOUN
flr-675	286	18	-	-	PUNCT
flr-675	286	19	level	level	NOUN
flr-675	286	20	factors	factor	NOUN
flr-675	286	21	in	in	ADP
flr-675	286	22	the	the	DET
flr-675	286	23	conceptual	conceptual	ADJ
flr-675	286	24	model	model	NOUN
flr-675	286	25	in	in	ADP
flr-675	286	26	figure	figure	NOUN
flr-675	286	27	1	1	NUM
flr-675	286	28	that	that	PRON
flr-675	286	29	have	have	AUX
flr-675	286	30	not	not	PART
flr-675	286	31	previously	previously	ADV
flr-675	286	32	been	be	AUX
flr-675	286	33	quantitatively	quantitatively	ADV
flr-675	286	34	measured	measure	VERB
flr-675	286	35	and	and	CCONJ
flr-675	286	36	analysed	analyse	VERB
flr-675	286	37	.	.	PUNCT
flr-675	287	1	for	for	ADP
flr-675	287	2	example	example	NOUN
flr-675	287	3	,	,	PUNCT
flr-675	287	4	data	datum	NOUN
flr-675	287	5	on	on	ADP
flr-675	287	6	research	research	NOUN
flr-675	287	7	income	income	NOUN
flr-675	287	8	and	and	CCONJ
flr-675	287	9	research	research	NOUN
flr-675	287	10	and	and	CCONJ
flr-675	287	11	teaching	teach	VERB
flr-675	287	12	quality	quality	NOUN
flr-675	287	13	metrics	metric	NOUN
flr-675	287	14	could	could	AUX
flr-675	287	15	be	be	AUX
flr-675	287	16	used	use	VERB
flr-675	287	17	as	as	ADP
flr-675	287	18	measures	measure	NOUN
flr-675	287	19	of	of	ADP
flr-675	287	20	institutional	institutional	ADJ
flr-675	287	21	and	and	CCONJ
flr-675	287	22	disciplinary	disciplinary	ADJ
flr-675	287	23	culture	culture	NOUN
flr-675	287	24	(	(	PUNCT
flr-675	287	25	see	see	VERB
flr-675	287	26	boliver	boliver	ADV
flr-675	287	27	,	,	PUNCT
flr-675	287	28	2015	2015	NUM
flr-675	287	29	,	,	PUNCT
flr-675	287	30	for	for	ADP
flr-675	287	31	an	an	DET
flr-675	287	32	analysis	analysis	NOUN
flr-675	287	33	of	of	ADP
flr-675	287	34	publicly	publicly	ADV
flr-675	287	35	available	available	ADJ
flr-675	287	36	data	datum	NOUN
flr-675	287	37	encompassing	encompass	VERB
flr-675	287	38	these	these	DET
flr-675	287	39	variables	variable	NOUN
flr-675	287	40	)	)	PUNCT
flr-675	287	41	.	.	PUNCT
flr-675	288	1	this	this	DET
flr-675	288	2	approach	approach	NOUN
flr-675	288	3	may	may	AUX
flr-675	288	4	then	then	ADV
flr-675	288	5	call	call	VERB
flr-675	288	6	attention	attention	NOUN
flr-675	288	7	to	to	ADP
flr-675	288	8	the	the	DET
flr-675	288	9	specific	specific	ADJ
flr-675	288	10	facets	facet	NOUN
flr-675	288	11	of	of	ADP
flr-675	288	12	the	the	DET
flr-675	288	13	conceptual	conceptual	ADJ
flr-675	288	14	model	model	NOUN
flr-675	288	15	that	that	PRON
flr-675	288	16	merit	merit	VERB
flr-675	288	17	closer	close	ADJ
flr-675	288	18	scrutiny	scrutiny	NOUN
flr-675	288	19	in	in	ADP
flr-675	288	20	future	future	ADJ
flr-675	288	21	research	research	NOUN
flr-675	288	22	.	.	PUNCT
flr-675	289	1	depending	depend	VERB
flr-675	289	2	on	on	ADP
flr-675	289	3	the	the	DET
flr-675	289	4	representativeness	representativeness	NOUN
flr-675	289	5	of	of	ADP
flr-675	289	6	the	the	DET
flr-675	289	7	student	student	NOUN
flr-675	289	8	populations	population	NOUN
flr-675	289	9	investigated	investigate	VERB
flr-675	289	10	,	,	PUNCT
flr-675	289	11	potential	potential	ADJ
flr-675	289	12	future	future	ADJ
flr-675	289	13	research	research	NOUN
flr-675	289	14	using	use	VERB
flr-675	289	15	the	the	DET
flr-675	289	16	approaches	approach	NOUN
flr-675	289	17	in	in	ADP
flr-675	289	18	this	this	DET
flr-675	289	19	primer	primer	NOUN
flr-675	289	20	might	might	AUX
flr-675	289	21	also	also	ADV
flr-675	289	22	consider	consider	VERB
flr-675	289	23	how	how	SCONJ
flr-675	289	24	meso	meso	NOUN
flr-675	289	25	-	-	PUNCT
flr-675	289	26	level	level	NOUN
flr-675	289	27	factors	factor	NOUN
flr-675	289	28	manifest	manifest	VERB
flr-675	289	29	differently	differently	ADV
flr-675	289	30	based	base	VERB
flr-675	289	31	on	on	ADP
flr-675	289	32	variation	variation	NOUN
flr-675	289	33	in	in	ADP
flr-675	289	34	macro	macro	ADJ
flr-675	289	35	-	-	NOUN
flr-675	289	36	level	level	NOUN
flr-675	289	37	factors	factor	NOUN
flr-675	289	38	,	,	PUNCT
flr-675	289	39	and	and	CCONJ
flr-675	289	40	how	how	SCONJ
flr-675	289	41	micro	micro	ADJ
flr-675	289	42	-	-	ADJ
flr-675	289	43	level	level	ADJ
flr-675	289	44	factors	factor	NOUN
flr-675	289	45	differ	differ	VERB
flr-675	289	46	based	base	VERB
flr-675	289	47	on	on	ADP
flr-675	289	48	variation	variation	NOUN
flr-675	289	49	in	in	ADP
flr-675	289	50	meso	meso	NOUN
flr-675	289	51	-	-	PUNCT
flr-675	289	52	level	level	NOUN
flr-675	289	53	factors	factor	NOUN
flr-675	289	54	.	.	PUNCT
flr-675	290	1	for	for	ADP
flr-675	290	2	instance	instance	NOUN
flr-675	290	3	,	,	PUNCT
flr-675	290	4	macro	macro	ADJ
flr-675	290	5	-	-	NOUN
flr-675	290	6	level	level	NOUN
flr-675	290	7	factors	factor	NOUN
flr-675	290	8	,	,	PUNCT
flr-675	290	9	such	such	ADJ
flr-675	290	10	as	as	ADP
flr-675	290	11	the	the	DET
flr-675	290	12	structure	structure	NOUN
flr-675	290	13	and	and	CCONJ
flr-675	290	14	hierarchy	hierarchy	NOUN
flr-675	290	15	of	of	ADP
flr-675	290	16	an	an	DET
flr-675	290	17	institution	institution	NOUN
flr-675	290	18	could	could	AUX
flr-675	290	19	affect	affect	VERB
flr-675	290	20	the	the	DET
flr-675	290	21	design	design	NOUN
flr-675	290	22	of	of	ADP
flr-675	290	23	its	its	PRON
flr-675	290	24	learning	learn	VERB
flr-675	290	25	environments	environment	NOUN
flr-675	290	26	at	at	ADP
flr-675	290	27	the	the	DET
flr-675	290	28	meso	meso	NOUN
flr-675	290	29	-	-	PUNCT
flr-675	290	30	level	level	NOUN
flr-675	290	31	(	(	PUNCT
flr-675	290	32	e.g.	e.g.	ADV
flr-675	290	33	teaching	teaching	NOUN
flr-675	290	34	-	-	PUNCT
flr-675	290	35	led	lead	VERB
flr-675	290	36	universities	university	NOUN
flr-675	290	37	might	might	AUX
flr-675	290	38	prioritise	prioritise	VERB
flr-675	290	39	innovative	innovative	ADJ
flr-675	290	40	teaching	teaching	NOUN
flr-675	290	41	approaches	approach	VERB
flr-675	290	42	more	more	ADJ
flr-675	290	43	than	than	ADP
flr-675	290	44	research	research	NOUN
flr-675	290	45	-	-	PUNCT
flr-675	290	46	intensive	intensive	ADJ
flr-675	290	47	institutions	institution	NOUN
flr-675	290	48	)	)	PUNCT
flr-675	290	49	,	,	PUNCT
flr-675	290	50	so	so	ADV
flr-675	290	51	moderating	moderate	VERB
flr-675	290	52	effects	effect	NOUN
flr-675	290	53	between	between	ADP
flr-675	290	54	micro-	micro-	NOUN
flr-675	290	55	,	,	PUNCT
flr-675	290	56	meso-	meso-	X
flr-675	290	57	,	,	PUNCT
flr-675	290	58	and	and	CCONJ
flr-675	290	59	macro	macro	ADJ
flr-675	290	60	-	-	NOUN
flr-675	290	61	level	level	NOUN
flr-675	290	62	variables	variable	NOUN
flr-675	290	63	on	on	ADP
flr-675	290	64	gaps	gap	NOUN
flr-675	290	65	could	could	AUX
flr-675	290	66	be	be	AUX
flr-675	290	67	explored	explore	VERB
flr-675	290	68	.	.	PUNCT
flr-675	291	1	as	as	SCONJ
flr-675	291	2	previously	previously	ADV
flr-675	291	3	noted	note	VERB
flr-675	291	4	,	,	PUNCT
flr-675	291	5	differential	differential	ADJ
flr-675	291	6	student	student	NOUN
flr-675	291	7	outcomes	outcome	NOUN
flr-675	291	8	are	be	AUX
flr-675	291	9	quantitatively	quantitatively	ADV
flr-675	291	10	assessed	assess	VERB
flr-675	291	11	(	(	PUNCT
flr-675	291	12	jones	jone	NOUN
flr-675	291	13	,	,	PUNCT
flr-675	291	14	2018	2018	NUM
flr-675	291	15	)	)	PUNCT
flr-675	291	16	,	,	PUNCT
flr-675	291	17	so	so	CCONJ
flr-675	291	18	if	if	SCONJ
flr-675	291	19	researchers	researcher	NOUN
flr-675	291	20	adopt	adopt	VERB
flr-675	291	21	the	the	DET
flr-675	291	22	quantitative	quantitative	ADJ
flr-675	291	23	methods	method	NOUN
flr-675	291	24	used	use	VERB
flr-675	291	25	in	in	ADP
flr-675	291	26	this	this	DET
flr-675	291	27	primer	primer	NOUN
flr-675	291	28	,	,	PUNCT
flr-675	291	29	they	they	PRON
flr-675	291	30	could	could	AUX
flr-675	291	31	reveal	reveal	VERB
flr-675	291	32	more	more	ADJ
flr-675	291	33	about	about	ADP
flr-675	291	34	the	the	DET
flr-675	291	35	explanatory	explanatory	ADJ
flr-675	291	36	power	power	NOUN
flr-675	291	37	of	of	ADP
flr-675	291	38	specific	specific	ADJ
flr-675	291	39	factors	factor	NOUN
flr-675	291	40	,	,	PUNCT
flr-675	291	41	which	which	PRON
flr-675	291	42	could	could	AUX
flr-675	291	43	enrich	enrich	VERB
flr-675	291	44	the	the	DET
flr-675	291	45	largely	largely	ADV
flr-675	291	46	qualitative	qualitative	ADJ
flr-675	291	47	evidence	evidence	NOUN
flr-675	291	48	-	-	PUNCT
flr-675	291	49	base	base	NOUN
flr-675	291	50	.	.	PUNCT
flr-675	292	1	furthermore	furthermore	ADV
flr-675	292	2	,	,	PUNCT
flr-675	292	3	by	by	ADP
flr-675	292	4	revealing	reveal	VERB
flr-675	292	5	more	more	ADJ
flr-675	292	6	about	about	ADP
flr-675	292	7	potential	potential	ADJ
flr-675	292	8	predictors	predictor	NOUN
flr-675	292	9	of	of	ADP
flr-675	292	10	gaps	gap	NOUN
flr-675	292	11	,	,	PUNCT
flr-675	292	12	the	the	DET
flr-675	292	13	methods	method	NOUN
flr-675	292	14	could	could	AUX
flr-675	292	15	also	also	ADV
flr-675	292	16	open	open	VERB
flr-675	292	17	up	up	ADP
flr-675	292	18	new	new	ADJ
flr-675	292	19	conversations	conversation	NOUN
flr-675	292	20	with	with	ADP
flr-675	292	21	students	student	NOUN
flr-675	292	22	,	,	PUNCT
flr-675	292	23	providing	provide	VERB
flr-675	292	24	fresh	fresh	ADJ
flr-675	292	25	avenues	avenue	NOUN
flr-675	292	26	for	for	ADP
flr-675	292	27	future	future	ADJ
flr-675	292	28	qualitative	qualitative	ADJ
flr-675	292	29	research	research	NOUN
flr-675	292	30	in	in	ADP
flr-675	292	31	this	this	DET
flr-675	292	32	area	area	NOUN
flr-675	292	33	.	.	PUNCT
flr-675	293	1	therefore	therefore	ADV
flr-675	293	2	,	,	PUNCT
flr-675	293	3	this	this	DET
flr-675	293	4	primer	primer	NOUN
flr-675	293	5	offers	offer	VERB
flr-675	293	6	significant	significant	ADJ
flr-675	293	7	scope	scope	NOUN
flr-675	293	8	for	for	ADP
flr-675	293	9	developing	develop	VERB
flr-675	293	10	theoretical	theoretical	ADJ
flr-675	293	11	perspectives	perspective	NOUN
flr-675	293	12	on	on	ADP
flr-675	293	13	differential	differential	ADJ
flr-675	293	14	outcomes	outcome	NOUN
flr-675	293	15	beyond	beyond	ADP
flr-675	293	16	current	current	ADJ
flr-675	293	17	understandings	understanding	NOUN
flr-675	293	18	in	in	ADP
flr-675	293	19	the	the	DET
flr-675	293	20	literature	literature	NOUN
flr-675	293	21	.	.	PUNCT
flr-675	294	1	it	it	PRON
flr-675	294	2	is	be	AUX
flr-675	294	3	only	only	ADV
flr-675	294	4	by	by	ADP
flr-675	294	5	fully	fully	ADV
flr-675	294	6	exploring	explore	VERB
flr-675	294	7	potential	potential	ADJ
flr-675	294	8	causes	cause	NOUN
flr-675	294	9	of	of	ADP
flr-675	294	10	gaps	gap	NOUN
flr-675	294	11	at	at	ADP
flr-675	294	12	all	all	DET
flr-675	294	13	levels	level	NOUN
flr-675	294	14	that	that	SCONJ
flr-675	294	15	we	we	PRON
flr-675	294	16	will	will	AUX
flr-675	294	17	fully	fully	ADV
flr-675	294	18	understand	understand	VERB
flr-675	294	19	the	the	DET
flr-675	294	20	role	role	NOUN
flr-675	294	21	of	of	ADP
flr-675	294	22	student	student	NOUN
flr-675	294	23	diversity	diversity	NOUN
flr-675	294	24	in	in	ADP
flr-675	294	25	educational	educational	ADJ
flr-675	294	26	transitions	transition	NOUN
flr-675	294	27	.	.	PUNCT
flr-675	295	1	keypoints	keypoint	NOUN
flr-675	295	2	explanatory	explanatory	ADJ
flr-675	295	3	factors	factor	NOUN
flr-675	295	4	for	for	ADP
flr-675	295	5	differential	differential	ADJ
flr-675	295	6	student	student	NOUN
flr-675	295	7	outcomes	outcome	NOUN
flr-675	295	8	occur	occur	VERB
flr-675	295	9	at	at	ADP
flr-675	295	10	micro-	micro-	NOUN
flr-675	295	11	,	,	PUNCT
flr-675	295	12	mesoand	mesoand	ADJ
flr-675	295	13	macro	macro	ADJ
flr-675	295	14	-	-	NOUN
flr-675	295	15	levels	level	NOUN
flr-675	295	16	universities	university	NOUN
flr-675	295	17	can	can	AUX
flr-675	295	18	model	model	VERB
flr-675	295	19	explanatory	explanatory	ADJ
flr-675	295	20	factors	factor	NOUN
flr-675	295	21	for	for	ADP
flr-675	295	22	differential	differential	ADJ
flr-675	295	23	student	student	NOUN
flr-675	295	24	outcomes	outcome	NOUN
flr-675	295	25	at	at	ADP
flr-675	295	26	multiple	multiple	ADJ
flr-675	295	27	levels	level	NOUN
flr-675	295	28	by	by	ADP
flr-675	295	29	linking	link	VERB
flr-675	295	30	previously	previously	ADV
flr-675	295	31	unconnected	unconnected	ADJ
flr-675	295	32	quantitative	quantitative	ADJ
flr-675	295	33	data	datum	NOUN
flr-675	295	34	attainment	attainment	ADJ
flr-675	295	35	/	/	SYM
flr-675	295	36	continuation	continuation	NOUN
flr-675	295	37	gaps	gap	NOUN
flr-675	295	38	can	can	AUX
flr-675	295	39	be	be	AUX
flr-675	295	40	modelled	model	VERB
flr-675	295	41	with	with	ADP
flr-675	295	42	regression	regression	NOUN
flr-675	295	43	analyses	analysis	NOUN
flr-675	295	44	of	of	ADP
flr-675	295	45	individual	individual	ADJ
flr-675	295	46	-	-	PUNCT
flr-675	295	47	level	level	NOUN
flr-675	295	48	data	datum	NOUN
flr-675	295	49	combined	combine	VERB
flr-675	295	50	with	with	ADP
flr-675	295	51	data	datum	NOUN
flr-675	295	52	on	on	ADP
flr-675	295	53	micro	micro	ADJ
flr-675	295	54	-	-	ADJ
flr-675	295	55	level	level	ADJ
flr-675	295	56	explanatory	explanatory	ADJ
flr-675	295	57	factors	factor	NOUN
flr-675	295	58	attainment	attainment	ADJ
flr-675	295	59	/	/	SYM
flr-675	295	60	continuation	continuation	NOUN
flr-675	295	61	gaps	gap	NOUN
flr-675	295	62	can	can	AUX
flr-675	295	63	be	be	AUX
flr-675	295	64	modelled	model	VERB
flr-675	295	65	with	with	ADP
flr-675	295	66	meta	meta	ADJ
flr-675	295	67	-	-	PUNCT
flr-675	295	68	regression	regression	NOUN
flr-675	295	69	analyses	analysis	NOUN
flr-675	295	70	of	of	ADP
flr-675	295	71	aggregated	aggregate	VERB
flr-675	295	72	data	datum	NOUN
flr-675	295	73	combined	combine	VERB
flr-675	295	74	with	with	ADP
flr-675	295	75	data	datum	NOUN
flr-675	295	76	on	on	ADP
flr-675	295	77	meso	meso	NOUN
flr-675	295	78	-	-	PUNCT
flr-675	295	79	level	level	NOUN
flr-675	295	80	explanatory	explanatory	ADJ
flr-675	295	81	factors	factor	NOUN
flr-675	295	82	universities	university	NOUN
flr-675	295	83	could	could	AUX
flr-675	295	84	use	use	VERB
flr-675	295	85	the	the	DET
flr-675	295	86	discussed	discuss	VERB
flr-675	295	87	approaches	approach	NOUN
flr-675	295	88	to	to	PART
flr-675	295	89	design	design	VERB
flr-675	295	90	more	more	ADJ
flr-675	295	91	context	context	NOUN
flr-675	295	92	-	-	PUNCT
flr-675	295	93	specific	specific	ADJ
flr-675	295	94	interventions	intervention	NOUN
flr-675	295	95	for	for	ADP
flr-675	295	96	addressing	address	VERB
flr-675	295	97	differential	differential	ADJ
flr-675	295	98	student	student	NOUN
flr-675	295	99	outcomes	outcome	NOUN
flr-675	295	100	acknowledgements	acknowledgement	VERB
flr-675	295	101	the	the	DET
flr-675	295	102	authors	author	NOUN
flr-675	295	103	thank	thank	VERB
flr-675	295	104	professor	professor	PROPN
flr-675	295	105	chris	chris	PROPN
flr-675	295	106	fife	fife	PROPN
flr-675	295	107	-	-	PUNCT
flr-675	295	108	shaw	shaw	PROPN
flr-675	295	109	,	,	PUNCT
flr-675	295	110	dr	dr	PROPN
flr-675	295	111	anesa	anesa	PROPN
flr-675	295	112	hosein	hosein	PROPN
flr-675	295	113	,	,	PUNCT
flr-675	295	114	nicholas	nicholas	PROPN
flr-675	295	115	moore	moore	PROPN
flr-675	295	116	and	and	CCONJ
flr-675	295	117	dr	dr	PROPN
flr-675	295	118	james	james	PROPN
flr-675	295	119	munro	munro	PROPN
flr-675	295	120	for	for	ADP
flr-675	295	121	their	their	PRON
flr-675	295	122	insightful	insightful	ADJ
flr-675	295	123	comments	comment	NOUN
flr-675	295	124	on	on	ADP
flr-675	295	125	earlier	early	ADJ
flr-675	295	126	drafts	draft	NOUN
flr-675	295	127	of	of	ADP
flr-675	295	128	this	this	DET
flr-675	295	129	manuscript	manuscript	NOUN
flr-675	295	130	.	.	PUNCT
flr-675	296	1	footnotes	footnote	NOUN
flr-675	296	2	1	1	NUM
flr-675	296	3	throughout	throughout	ADP
flr-675	296	4	this	this	DET
flr-675	296	5	primer	primer	NOUN
flr-675	296	6	we	we	PRON
flr-675	296	7	refer	refer	VERB
flr-675	296	8	to	to	ADP
flr-675	296	9	different	different	ADJ
flr-675	296	10	aspects	aspect	NOUN
flr-675	296	11	of	of	ADP
flr-675	296	12	university	university	NOUN
flr-675	296	13	based	base	VERB
flr-675	296	14	on	on	ADP
flr-675	296	15	terminology	terminology	NOUN
flr-675	296	16	usually	usually	ADV
flr-675	296	17	used	use	VERB
flr-675	296	18	in	in	ADP
flr-675	296	19	the	the	DET
flr-675	296	20	uk	uk	PROPN
flr-675	296	21	higher	high	ADJ
flr-675	296	22	education	education	NOUN
flr-675	296	23	context	context	NOUN
flr-675	296	24	(	(	PUNCT
flr-675	296	25	e.g.	e.g.	ADV
flr-675	296	26	degree	degree	NOUN
flr-675	296	27	courses	course	NOUN
flr-675	296	28	are	be	AUX
flr-675	296	29	referred	refer	VERB
flr-675	296	30	to	to	ADP
flr-675	296	31	as	as	ADP
flr-675	296	32	programmes	programme	NOUN
flr-675	296	33	,	,	PUNCT
flr-675	296	34	subject	subject	ADJ
flr-675	296	35	units	unit	NOUN
flr-675	296	36	are	be	AUX
flr-675	296	37	referred	refer	VERB
flr-675	296	38	to	to	ADP
flr-675	296	39	as	as	ADP
flr-675	296	40	modules	module	NOUN
flr-675	296	41	,	,	PUNCT
flr-675	296	42	etc	etc	X
flr-675	296	43	.	.	X
flr-675	296	44	)	)	PUNCT
flr-675	296	45	.	.	PUNCT
flr-675	297	1	2	2	NUM
flr-675	297	2	all	all	DET
flr-675	297	3	analyses	analysis	NOUN
flr-675	297	4	can	can	AUX
flr-675	297	5	also	also	ADV
flr-675	297	6	be	be	AUX
flr-675	297	7	performed	perform	VERB
flr-675	297	8	using	use	VERB
flr-675	297	9	other	other	ADJ
flr-675	297	10	software	software	NOUN
flr-675	297	11	packages	package	NOUN
flr-675	297	12	,	,	PUNCT
flr-675	297	13	such	such	ADJ
flr-675	297	14	as	as	ADP
flr-675	297	15	stata	stata	NOUN
flr-675	297	16	and	and	CCONJ
flr-675	297	17	r	r	NOUN
flr-675	297	18	,	,	PUNCT
flr-675	297	19	so	so	ADV
flr-675	297	20	.csv	.csv	ADJ
flr-675	297	21	files	file	NOUN
flr-675	297	22	(	(	PUNCT
flr-675	297	23	for	for	ADP
flr-675	297	24	the	the	DET
flr-675	297	25	data	data	NOUN
flr-675	297	26	sets	set	NOUN
flr-675	297	27	)	)	PUNCT
flr-675	297	28	and	and	CCONJ
flr-675	297	29	.txt	.txt	ADJ
flr-675	297	30	files	file	NOUN
flr-675	297	31	(	(	PUNCT
flr-675	297	32	for	for	ADP
flr-675	297	33	the	the	DET
flr-675	297	34	syntax	syntax	NOUN
flr-675	297	35	)	)	PUNCT
flr-675	297	36	have	have	AUX
flr-675	297	37	additionally	additionally	ADV
flr-675	297	38	been	be	AUX
flr-675	297	39	provided	provide	VERB
flr-675	297	40	to	to	PART
flr-675	297	41	enable	enable	VERB
flr-675	297	42	readers	reader	NOUN
flr-675	297	43	to	to	PART
flr-675	297	44	adapt	adapt	VERB
flr-675	297	45	these	these	DET
flr-675	297	46	files	file	NOUN
flr-675	297	47	for	for	ADP
flr-675	297	48	use	use	NOUN
flr-675	297	49	with	with	ADP
flr-675	297	50	their	their	PRON
flr-675	297	51	preferred	preferred	ADJ
flr-675	297	52	software	software	NOUN
flr-675	297	53	.	.	PUNCT
flr-675	298	1	3	3	NUM
flr-675	298	2	our	our	PRON
flr-675	298	3	use	use	NOUN
flr-675	298	4	of	of	ADP
flr-675	298	5	the	the	DET
flr-675	298	6	term	term	NOUN
flr-675	298	7	covariate	covariate	NOUN
flr-675	298	8	is	be	AUX
flr-675	298	9	synonymous	synonymous	ADJ
flr-675	298	10	with	with	ADP
flr-675	298	11	predictor	predictor	NOUN
flr-675	298	12	/	/	SYM
flr-675	298	13	independent	independent	ADJ
flr-675	298	14	variable	variable	NOUN
flr-675	298	15	(	(	PUNCT
flr-675	298	16	or	or	CCONJ
flr-675	298	17	moderator	moderator	NOUN
flr-675	298	18	in	in	ADP
flr-675	298	19	meta	meta	NOUN
flr-675	298	20	-	-	PUNCT
flr-675	298	21	analyses	analysis	NOUN
flr-675	298	22	)	)	PUNCT
flr-675	298	23	.	.	PUNCT
flr-675	299	1	4	4	NUM
flr-675	299	2	binary	binary	ADJ
flr-675	299	3	/	/	SYM
flr-675	299	4	dichotomous	dichotomous	ADJ
flr-675	299	5	variables	variable	NOUN
flr-675	299	6	(	(	PUNCT
flr-675	299	7	i.e.	i.e.	X
flr-675	299	8	variables	variable	NOUN
flr-675	299	9	with	with	ADP
flr-675	299	10	only	only	ADV
flr-675	299	11	two	two	NUM
flr-675	299	12	categories	category	NOUN
flr-675	299	13	)	)	PUNCT
flr-675	299	14	can	can	AUX
flr-675	299	15	be	be	AUX
flr-675	299	16	entered	enter	VERB
flr-675	299	17	into	into	ADP
flr-675	299	18	regression	regression	NOUN
flr-675	299	19	models	model	NOUN
flr-675	299	20	as	as	ADP
flr-675	299	21	covariates	covariate	NOUN
flr-675	299	22	and	and	CCONJ
flr-675	299	23	treated	treat	VERB
flr-675	299	24	the	the	DET
flr-675	299	25	same	same	ADJ
flr-675	299	26	as	as	ADP
flr-675	299	27	continuous	continuous	ADJ
flr-675	299	28	variables	variable	NOUN
flr-675	299	29	if	if	SCONJ
flr-675	299	30	they	they	PRON
flr-675	299	31	are	be	AUX
flr-675	299	32	coded	code	VERB
flr-675	299	33	as	as	ADP
flr-675	299	34	0	0	NUM
flr-675	299	35	and	and	CCONJ
flr-675	299	36	1	1	NUM
flr-675	299	37	.	.	PUNCT
flr-675	300	1	however	however	ADV
flr-675	300	2	,	,	PUNCT
flr-675	300	3	categorical	categorical	ADJ
flr-675	300	4	variables	variable	NOUN
flr-675	300	5	with	with	ADP
flr-675	300	6	more	more	ADJ
flr-675	300	7	than	than	ADP
flr-675	300	8	two	two	NUM
flr-675	300	9	categories	category	NOUN
flr-675	300	10	need	need	VERB
flr-675	300	11	to	to	PART
flr-675	300	12	be	be	AUX
flr-675	300	13	converted	convert	VERB
flr-675	300	14	into	into	ADP
flr-675	300	15	a	a	DET
flr-675	300	16	set	set	NOUN
flr-675	300	17	of	of	ADP
flr-675	300	18	binary	binary	ADJ
flr-675	300	19	variables	variable	NOUN
flr-675	300	20	,	,	PUNCT
flr-675	300	21	known	know	VERB
flr-675	300	22	as	as	ADP
flr-675	300	23	dummy	dummy	ADJ
flr-675	300	24	coding	coding	NOUN
flr-675	300	25	,	,	PUNCT
flr-675	300	26	before	before	ADP
flr-675	300	27	inclusion	inclusion	NOUN
flr-675	300	28	.	.	PUNCT
flr-675	301	1	field	field	NOUN
flr-675	301	2	(	(	PUNCT
flr-675	301	3	2018	2018	NUM
flr-675	301	4	,	,	PUNCT
flr-675	301	5	pp	pp	ADJ
flr-675	301	6	.	.	PUNCT
flr-675	302	1	509–516	509–516	NUM
flr-675	302	2	)	)	PUNCT
flr-675	302	3	provides	provide	VERB
flr-675	302	4	an	an	DET
flr-675	302	5	accessible	accessible	ADJ
flr-675	302	6	overview	overview	NOUN
flr-675	302	7	of	of	ADP
flr-675	302	8	dummy	dummy	ADJ
flr-675	302	9	coding	coding	NOUN
flr-675	302	10	.	.	PUNCT
flr-675	303	1	5	5	NUM
flr-675	303	2	if	if	SCONJ
flr-675	303	3	different	different	ADJ
flr-675	303	4	measures	measure	NOUN
flr-675	303	5	of	of	ADP
flr-675	303	6	attainment	attainment	NOUN
flr-675	303	7	are	be	AUX
flr-675	303	8	used	use	VERB
flr-675	303	9	(	(	PUNCT
flr-675	303	10	e.g.	e.g.	ADV
flr-675	303	11	combining	combine	VERB
flr-675	303	12	grade	grade	NOUN
flr-675	303	13	percentages	percentage	NOUN
flr-675	303	14	with	with	ADP
flr-675	303	15	grade	grade	NOUN
flr-675	303	16	point	point	NOUN
flr-675	303	17	average	average	ADJ
flr-675	303	18	)	)	PUNCT
flr-675	303	19	,	,	PUNCT
flr-675	303	20	or	or	CCONJ
flr-675	303	21	if	if	SCONJ
flr-675	303	22	the	the	DET
flr-675	303	23	measure	measure	NOUN
flr-675	303	24	of	of	ADP
flr-675	303	25	attainment	attainment	NOUN
flr-675	303	26	is	be	AUX
flr-675	303	27	not	not	PART
flr-675	303	28	meaningful	meaningful	ADJ
flr-675	303	29	(	(	PUNCT
flr-675	303	30	e.g.	e.g.	ADV
flr-675	303	31	the	the	DET
flr-675	303	32	attainment	attainment	ADJ
flr-675	303	33	metric	metric	NOUN
flr-675	303	34	is	be	AUX
flr-675	303	35	specific	specific	ADJ
flr-675	303	36	to	to	ADP
flr-675	303	37	a	a	DET
flr-675	303	38	particular	particular	ADJ
flr-675	303	39	institution	institution	NOUN
flr-675	303	40	)	)	PUNCT
flr-675	303	41	,	,	PUNCT
flr-675	303	42	the	the	DET
flr-675	303	43	standardised	standardised	ADJ
flr-675	303	44	difference	difference	NOUN
flr-675	303	45	in	in	ADP
flr-675	303	46	means	mean	NOUN
flr-675	303	47	should	should	AUX
flr-675	303	48	be	be	AUX
flr-675	303	49	used	use	VERB
flr-675	303	50	as	as	ADP
flr-675	303	51	the	the	DET
flr-675	303	52	effect	effect	NOUN
flr-675	303	53	size	size	NOUN
flr-675	303	54	measure	measure	NOUN
flr-675	303	55	instead	instead	ADV
flr-675	303	56	of	of	ADP
flr-675	303	57	the	the	DET
flr-675	303	58	raw	raw	ADJ
flr-675	303	59	difference	difference	NOUN
flr-675	303	60	(	(	PUNCT
flr-675	303	61	hedges	hedge	NOUN
flr-675	303	62	et	et	PROPN
flr-675	303	63	al	al	PROPN
flr-675	303	64	.	.	PROPN
flr-675	303	65	,	,	PUNCT
flr-675	303	66	2009	2009	NUM
flr-675	303	67	)	)	PUNCT
flr-675	303	68	;	;	PUNCT
flr-675	303	69	code	code	NOUN
flr-675	303	70	for	for	ADP
flr-675	303	71	computing	compute	VERB
flr-675	303	72	standardised	standardised	ADJ
flr-675	303	73	effect	effect	NOUN
flr-675	303	74	sizes	size	NOUN
flr-675	303	75	has	have	AUX
flr-675	303	76	been	be	AUX
flr-675	303	77	included	include	VERB
flr-675	303	78	in	in	ADP
flr-675	303	79	the	the	DET
flr-675	303	80	spss	spss	PROPN
flr-675	303	81	syntax	syntax	NOUN
flr-675	303	82	file	file	NOUN
flr-675	303	83	.	.	PUNCT
flr-675	304	1	6	6	NUM
flr-675	304	2	rve	rve	NOUN
flr-675	304	3	can	can	AUX
flr-675	304	4	also	also	ADV
flr-675	304	5	be	be	AUX
flr-675	304	6	performed	perform	VERB
flr-675	304	7	in	in	ADP
flr-675	304	8	r	r	NOUN
flr-675	304	9	using	use	VERB
flr-675	304	10	the	the	DET
flr-675	304	11	robumeta	robumeta	ADJ
flr-675	304	12	package	package	NOUN
flr-675	304	13	(	(	PUNCT
flr-675	304	14	fisher	fisher	PROPN
flr-675	304	15	et	et	PROPN
flr-675	304	16	al	al	PROPN
flr-675	304	17	.	.	PROPN
flr-675	304	18	,	,	PUNCT
flr-675	304	19	2017	2017	NUM
flr-675	304	20	;	;	PUNCT
flr-675	304	21	see	see	VERB
flr-675	304	22	tanner	tanner	NOUN
flr-675	304	23	-	-	PUNCT
flr-675	304	24	smith	smith	PROPN
flr-675	304	25	et	et	PROPN
flr-675	304	26	al	al	PROPN
flr-675	304	27	.	.	PROPN
flr-675	304	28	,	,	PUNCT
flr-675	304	29	2016	2016	NUM
flr-675	304	30	,	,	PUNCT
flr-675	304	31	for	for	ADP
flr-675	304	32	a	a	DET
flr-675	304	33	tutorial	tutorial	NOUN
flr-675	304	34	)	)	PUNCT
flr-675	304	35	,	,	PUNCT
flr-675	304	36	and	and	CCONJ
flr-675	304	37	in	in	ADP
flr-675	304	38	stata	stata	NOUN
flr-675	304	39	using	use	VERB
flr-675	304	40	the	the	DET
flr-675	304	41	robumeta.ado	robumeta.ado	X
flr-675	304	42	macro	macro	NOUN
flr-675	304	43	(	(	PUNCT
flr-675	304	44	see	see	VERB
flr-675	304	45	tanner	tanner	NOUN
flr-675	304	46	-	-	PUNCT
flr-675	304	47	smith	smith	PROPN
flr-675	304	48	&	&	CCONJ
flr-675	304	49	tipton	tipton	PROPN
flr-675	304	50	,	,	PUNCT
flr-675	304	51	2014	2014	NUM
flr-675	304	52	,	,	PUNCT
flr-675	304	53	for	for	ADP
flr-675	304	54	syntax	syntax	NOUN
flr-675	304	55	and	and	CCONJ
flr-675	304	56	a	a	DET
flr-675	304	57	tutorial	tutorial	NOUN
flr-675	304	58	)	)	PUNCT
flr-675	304	59	.	.	PUNCT
flr-675	305	1	7	7	NUM
flr-675	305	2	small	small	ADJ
flr-675	305	3	-	-	PUNCT
flr-675	305	4	sample	sample	NOUN
flr-675	305	5	adjustments	adjustment	NOUN
flr-675	305	6	in	in	ADP
flr-675	305	7	rve	rve	PROPN
flr-675	305	8	are	be	AUX
flr-675	305	9	not	not	PART
flr-675	305	10	available	available	ADJ
flr-675	305	11	in	in	ADP
flr-675	305	12	the	the	DET
flr-675	305	13	spss	spss	PROPN
flr-675	305	14	macro	macro	NOUN
flr-675	305	15	,	,	PUNCT
flr-675	305	16	but	but	CCONJ
flr-675	305	17	they	they	PRON
flr-675	305	18	are	be	AUX
flr-675	305	19	part	part	NOUN
flr-675	305	20	of	of	ADP
flr-675	305	21	the	the	DET
flr-675	305	22	stata	stata	NOUN
flr-675	305	23	macro	macro	NOUN
flr-675	305	24	and	and	CCONJ
flr-675	305	25	r	r	NOUN
flr-675	305	26	package	package	NOUN
flr-675	305	27	for	for	ADP
flr-675	305	28	rve	rve	PROPN
flr-675	305	29	(	(	PUNCT
flr-675	305	30	tanner	tanner	NOUN
flr-675	305	31	-	-	PUNCT
flr-675	305	32	smith	smith	PROPN
flr-675	305	33	et	et	PROPN
flr-675	305	34	al	al	PROPN
flr-675	305	35	.	.	PROPN
flr-675	305	36	,	,	PUNCT
flr-675	305	37	2016	2016	NUM
flr-675	305	38	)	)	PUNCT
flr-675	305	39	.	.	PUNCT
flr-675	306	1	8	8	NUM
flr-675	306	2	the	the	DET
flr-675	306	3	degrees	degree	NOUN
flr-675	306	4	of	of	ADP
flr-675	306	5	freedom	freedom	NOUN
flr-675	306	6	in	in	ADP
flr-675	306	7	rve	rve	PROPN
flr-675	306	8	analyses	analysis	NOUN
flr-675	306	9	are	be	AUX
flr-675	306	10	constrained	constrain	VERB
flr-675	306	11	by	by	ADP
flr-675	306	12	the	the	DET
flr-675	306	13	number	number	NOUN
flr-675	306	14	of	of	ADP
flr-675	306	15	studies	study	NOUN
flr-675	306	16	(	(	PUNCT
flr-675	306	17	in	in	ADP
flr-675	306	18	this	this	DET
flr-675	306	19	case	case	NOUN
flr-675	306	20	,	,	PUNCT
flr-675	306	21	the	the	DET
flr-675	306	22	number	number	NOUN
flr-675	306	23	of	of	ADP
flr-675	306	24	programmes	programme	NOUN
flr-675	306	25	)	)	PUNCT
flr-675	306	26	being	be	AUX
flr-675	306	27	analysed	analyse	VERB
flr-675	306	28	,	,	PUNCT
flr-675	306	29	not	not	PART
flr-675	306	30	the	the	DET
flr-675	306	31	number	number	NOUN
flr-675	306	32	of	of	ADP
flr-675	306	33	effect	effect	NOUN
flr-675	306	34	sizes	size	NOUN
flr-675	306	35	(	(	PUNCT
flr-675	306	36	tanner	tanner	NOUN
flr-675	306	37	-	-	PUNCT
flr-675	306	38	smith	smith	PROPN
flr-675	306	39	&	&	CCONJ
flr-675	306	40	tipton	tipton	PROPN
flr-675	306	41	,	,	PUNCT
flr-675	306	42	2014	2014	NUM
flr-675	306	43	)	)	PUNCT
flr-675	306	44	.	.	PUNCT
flr-675	307	1	therefore	therefore	ADV
flr-675	307	2	,	,	PUNCT
flr-675	307	3	readers	reader	NOUN
flr-675	307	4	should	should	AUX
flr-675	307	5	be	be	AUX
flr-675	307	6	cautious	cautious	ADJ
flr-675	307	7	about	about	ADP
flr-675	307	8	including	include	VERB
flr-675	307	9	too	too	ADV
flr-675	307	10	many	many	ADJ
flr-675	307	11	covariates	covariate	NOUN
flr-675	307	12	in	in	ADP
flr-675	307	13	analyses	analysis	NOUN
flr-675	307	14	with	with	ADP
flr-675	307	15	only	only	ADV
flr-675	307	16	a	a	DET
flr-675	307	17	limited	limited	ADJ
flr-675	307	18	number	number	NOUN
flr-675	307	19	of	of	ADP
flr-675	307	20	programmes	programme	NOUN
flr-675	307	21	being	be	AUX
flr-675	307	22	analysed	analyse	VERB
flr-675	307	23	.	.	PUNCT
flr-675	308	1	9	9	NUM
flr-675	308	2	as	as	ADP
flr-675	308	3	with	with	ADP
flr-675	308	4	regression	regression	NOUN
flr-675	308	5	analyses	analysis	NOUN
flr-675	308	6	performed	perform	VERB
flr-675	308	7	on	on	ADP
flr-675	308	8	individual	individual	ADJ
flr-675	308	9	-	-	PUNCT
flr-675	308	10	level	level	NOUN
flr-675	308	11	data	datum	NOUN
flr-675	308	12	,	,	PUNCT
flr-675	308	13	it	it	PRON
flr-675	308	14	is	be	AUX
flr-675	308	15	possible	possible	ADJ
flr-675	308	16	to	to	PART
flr-675	308	17	check	check	VERB
flr-675	308	18	for	for	ADP
flr-675	308	19	sources	source	NOUN
flr-675	308	20	of	of	ADP
flr-675	308	21	bias	bias	NOUN
flr-675	308	22	,	,	PUNCT
flr-675	308	23	meeting	meeting	NOUN
flr-675	308	24	of	of	ADP
flr-675	308	25	assumptions	assumption	NOUN
flr-675	308	26	,	,	PUNCT
flr-675	308	27	and	and	CCONJ
flr-675	308	28	issues	issue	NOUN
flr-675	308	29	with	with	ADP
flr-675	308	30	multicollinearity	multicollinearity	NOUN
flr-675	308	31	.	.	PUNCT
flr-675	309	1	however	however	ADV
flr-675	309	2	,	,	PUNCT
flr-675	309	3	more	more	ADV
flr-675	309	4	sophisticated	sophisticated	ADJ
flr-675	309	5	software	software	NOUN
flr-675	309	6	is	be	AUX
flr-675	309	7	needed	need	VERB
flr-675	309	8	for	for	ADP
flr-675	309	9	these	these	DET
flr-675	309	10	tests	test	NOUN
flr-675	309	11	than	than	ADP
flr-675	309	12	the	the	DET
flr-675	309	13	spss	spss	PROPN
flr-675	309	14	macro	macro	NOUN
flr-675	309	15	used	use	VERB
flr-675	309	16	for	for	ADP
flr-675	309	17	tutorials	tutorial	NOUN
flr-675	309	18	3	3	NUM
flr-675	309	19	and	and	CCONJ
flr-675	309	20	4	4	NUM
flr-675	309	21	,	,	PUNCT
flr-675	309	22	so	so	ADV
flr-675	309	23	findings	finding	NOUN
flr-675	309	24	should	should	AUX
flr-675	309	25	be	be	AUX
flr-675	309	26	interpreted	interpret	VERB
flr-675	309	27	with	with	ADP
flr-675	309	28	some	some	DET
flr-675	309	29	caution	caution	NOUN
flr-675	309	30	in	in	ADP
flr-675	309	31	the	the	DET
flr-675	309	32	absence	absence	NOUN
flr-675	309	33	of	of	ADP
flr-675	309	34	these	these	DET
flr-675	309	35	tests	test	NOUN
flr-675	309	36	.	.	PUNCT
flr-675	310	1	10	10	NUM
flr-675	310	2	this	this	DET
flr-675	310	3	macro	macro	NOUN
flr-675	310	4	has	have	AUX
flr-675	310	5	also	also	ADV
flr-675	310	6	been	be	AUX
flr-675	310	7	converted	convert	VERB
flr-675	310	8	into	into	ADP
flr-675	310	9	an	an	DET
flr-675	310	10	spss	spss	PROPN
flr-675	310	11	plug	plug	NOUN
flr-675	310	12	-	-	PUNCT
flr-675	310	13	in	in	NOUN
flr-675	310	14	to	to	PART
flr-675	310	15	enable	enable	VERB
flr-675	310	16	analyses	analysis	NOUN
flr-675	310	17	to	to	PART
flr-675	310	18	be	be	AUX
flr-675	310	19	run	run	VERB
flr-675	310	20	through	through	ADP
flr-675	310	21	the	the	DET
flr-675	310	22	main	main	ADJ
flr-675	310	23	spss	spss	PROPN
flr-675	310	24	menus	menus	NOUN
flr-675	310	25	.	.	PUNCT
flr-675	311	1	this	this	PRON
flr-675	311	2	can	can	AUX
flr-675	311	3	be	be	AUX
flr-675	311	4	downloaded	download	VERB
flr-675	311	5	from	from	ADP
flr-675	311	6	https://github.com/ahmaddaryanto/meta_analysis_spss_macros	https://github.com/ahmaddaryanto/meta_analysis_spss_macros	PROPN
flr-675	311	7	.	.	PUNCT
flr-675	312	1	references	reference	NOUN
flr-675	312	2	alin	alin	PROPN
flr-675	312	3	,	,	PUNCT
flr-675	312	4	a.	a.	NOUN
flr-675	312	5	(	(	PUNCT
flr-675	312	6	2010	2010	NUM
flr-675	312	7	)	)	PUNCT
flr-675	312	8	.	.	PUNCT
flr-675	313	1	multicollinearity.wiley	multicollinearity.wiley	NOUN
flr-675	313	2	interdisciplinary	interdisciplinary	ADJ
flr-675	313	3	reviews	review	NOUN
flr-675	313	4	:	:	PUNCT
flr-675	313	5	computational	computational	ADJ
flr-675	313	6	statistics	statistic	NOUN
flr-675	313	7	,	,	PUNCT
flr-675	313	8	2(3	2(3	NUM
flr-675	313	9	)	)	PUNCT
flr-675	313	10	,	,	PUNCT
flr-675	313	11	370–374	370–374	NUM
flr-675	313	12	.	.	PUNCT
flr-675	314	1	https://doi.org/10.1002/wics.84	https://doi.org/10.1002/wics.84	X
flr-675	314	2	boliver	boliver	ADV
flr-675	314	3	,	,	PUNCT
flr-675	314	4	v.	v.	PROPN
flr-675	314	5	(	(	PUNCT
flr-675	314	6	2015	2015	NUM
flr-675	314	7	)	)	PUNCT
flr-675	314	8	.	.	PUNCT
flr-675	315	1	are	be	AUX
flr-675	315	2	there	there	PRON
flr-675	315	3	distinctive	distinctive	ADJ
flr-675	315	4	clusters	cluster	NOUN
flr-675	315	5	of	of	ADP
flr-675	315	6	higher	high	ADJ
flr-675	315	7	and	and	CCONJ
flr-675	315	8	lower	low	ADJ
flr-675	315	9	status	status	NOUN
flr-675	315	10	universities	university	NOUN
flr-675	315	11	in	in	ADP
flr-675	315	12	the	the	DET
flr-675	315	13	uk	uk	PROPN
flr-675	315	14	?	?	PUNCT
flr-675	316	1	oxford	oxford	PROPN
flr-675	316	2	review	review	NOUN
flr-675	316	3	of	of	ADP
flr-675	316	4	education	education	NOUN
flr-675	316	5	,	,	PUNCT
flr-675	316	6	41(5	41(5	NUM
flr-675	316	7	)	)	PUNCT
flr-675	316	8	,	,	PUNCT
flr-675	316	9	608–627	608–627	NUM
flr-675	316	10	.	.	PUNCT
flr-675	317	1	https://doi.org/10.1080/03054985.2015.1082905	https://doi.org/10.1080/03054985.2015.1082905	VERB
flr-675	317	2	broecke	broecke	PROPN
flr-675	317	3	,	,	PUNCT
flr-675	317	4	s.	s.	PROPN
flr-675	317	5	,	,	PUNCT
flr-675	317	6	&	&	CCONJ
flr-675	317	7	nicholls	nicholls	PROPN
flr-675	317	8	,	,	PUNCT
flr-675	317	9	t.	t.	PROPN
flr-675	317	10	(	(	PUNCT
flr-675	317	11	2007	2007	NUM
flr-675	317	12	)	)	PUNCT
flr-675	317	13	.	.	PUNCT
flr-675	318	1	ethnicity	ethnicity	NOUN
flr-675	318	2	and	and	CCONJ
flr-675	318	3	degree	degree	NOUN
flr-675	318	4	attainment	attainment	NOUN
flr-675	318	5	(	(	PUNCT
flr-675	318	6	dfes	dfe	NOUN
flr-675	318	7	research	research	NOUN
flr-675	318	8	report	report	NOUN
flr-675	318	9	rw92	rw92	NOUN
flr-675	318	10	)	)	PUNCT
flr-675	318	11	.	.	PUNCT
flr-675	319	1	dfes	dfe	NOUN
flr-675	319	2	.	.	PUNCT
flr-675	320	1	cheung	cheung	PROPN
flr-675	320	2	,	,	PUNCT
flr-675	320	3	m.	m.	PROPN
flr-675	320	4	w.	w.	PROPN
flr-675	320	5	l.	l.	PROPN
flr-675	320	6	(	(	PUNCT
flr-675	320	7	2019	2019	NUM
flr-675	320	8	)	)	PUNCT
flr-675	320	9	.	.	PUNCT
flr-675	321	1	a	a	DET
flr-675	321	2	guide	guide	NOUN
flr-675	321	3	to	to	ADP
flr-675	321	4	conducting	conduct	VERB
flr-675	321	5	a	a	DET
flr-675	321	6	meta	meta	ADJ
flr-675	321	7	-	-	PUNCT
flr-675	321	8	analysis	analysis	NOUN
flr-675	321	9	with	with	ADP
flr-675	321	10	non	non	ADJ
flr-675	321	11	-	-	ADJ
flr-675	321	12	independent	independent	ADJ
flr-675	321	13	effect	effect	NOUN
flr-675	321	14	sizes	size	NOUN
flr-675	321	15	.	.	PUNCT
flr-675	322	1	neuropsychology	neuropsychology	NOUN
flr-675	322	2	review	review	NOUN
flr-675	322	3	,	,	PUNCT
flr-675	322	4	29	29	NUM
flr-675	322	5	(	(	PUNCT
flr-675	322	6	4	4	NUM
flr-675	322	7	)	)	PUNCT
flr-675	322	8	,	,	PUNCT
flr-675	322	9	387–396	387–396	NUM
flr-675	322	10	.	.	PUNCT
flr-675	323	1	https://doi.org/10.1007/s11065-019-09415-6	https://doi.org/10.1007/s11065-019-09415-6	NUM
flr-675	323	2	courville	courville	NOUN
flr-675	323	3	,	,	PUNCT
flr-675	323	4	t.	t.	PROPN
flr-675	323	5	,	,	PUNCT
flr-675	323	6	&	&	CCONJ
flr-675	323	7	thompson	thompson	PROPN
flr-675	323	8	,	,	PUNCT
flr-675	323	9	b.	b.	PROPN
flr-675	323	10	(	(	PUNCT
flr-675	323	11	2001	2001	NUM
flr-675	323	12	)	)	PUNCT
flr-675	323	13	.	.	PUNCT
flr-675	324	1	use	use	NOUN
flr-675	324	2	of	of	ADP
flr-675	324	3	structure	structure	NOUN
flr-675	324	4	coefficients	coefficient	NOUN
flr-675	324	5	in	in	ADP
flr-675	324	6	published	publish	VERB
flr-675	324	7	multiple	multiple	ADJ
flr-675	324	8	regression	regression	NOUN
flr-675	324	9	articles	article	NOUN
flr-675	324	10	:	:	PUNCT
flr-675	324	11	β	β	X
flr-675	324	12	is	be	AUX
flr-675	324	13	not	not	PART
flr-675	324	14	enough	enough	ADJ
flr-675	324	15	.	.	PUNCT
flr-675	325	1	educational	educational	ADJ
flr-675	325	2	and	and	CCONJ
flr-675	325	3	psychological	psychological	ADJ
flr-675	325	4	measurement	measurement	NOUN
flr-675	325	5	,	,	PUNCT
flr-675	325	6	61(2	61(2	NOUN
flr-675	325	7	)	)	PUNCT
flr-675	325	8	,	,	PUNCT
flr-675	325	9	229–248	229–248	NUM
flr-675	325	10	.	.	PUNCT
flr-675	326	1	https://doi.org/10.1177/0013164401612006	https://doi.org/10.1177/0013164401612006	PROPN
flr-675	326	2	cousin	cousin	PROPN
flr-675	326	3	,	,	PUNCT
flr-675	326	4	g.	g.	PROPN
flr-675	326	5	,	,	PUNCT
flr-675	326	6	&	&	CCONJ
flr-675	326	7	cuerton	cuerton	PROPN
flr-675	326	8	,	,	PUNCT
flr-675	326	9	d.	d.	PROPN
flr-675	326	10	(	(	PUNCT
flr-675	326	11	2012	2012	NUM
flr-675	326	12	)	)	PUNCT
flr-675	326	13	.	.	PUNCT
flr-675	327	1	disparities	disparity	NOUN
flr-675	327	2	in	in	ADP
flr-675	327	3	student	student	NOUN
flr-675	327	4	attainment	attainment	NOUN
flr-675	327	5	(	(	PUNCT
flr-675	327	6	disa	disa	PROPN
flr-675	327	7	)	)	PUNCT
flr-675	327	8	.	.	PUNCT
flr-675	328	1	higher	high	ADJ
flr-675	328	2	education	education	PROPN
flr-675	328	3	academy	academy	PROPN
flr-675	328	4	(	(	PUNCT
flr-675	328	5	hea	hea	PROPN
flr-675	328	6	)	)	PUNCT
flr-675	328	7	.	.	PUNCT
flr-675	329	1	https://www.advance-he.ac.uk/knowledge-hub/disparities-student-attainment	https://www.advance-he.ac.uk/knowledge-hub/disparities-student-attainment	PROPN
flr-675	329	2	dunlap	dunlap	PROPN
flr-675	329	3	,	,	PUNCT
flr-675	329	4	w.	w.	PROPN
flr-675	329	5	p.	p.	PROPN
flr-675	329	6	,	,	PUNCT
flr-675	329	7	&	&	CCONJ
flr-675	329	8	landis	landis	PROPN
flr-675	329	9	,	,	PUNCT
flr-675	329	10	r.	r.	PROPN
flr-675	329	11	s.	s.	PROPN
flr-675	329	12	(	(	PUNCT
flr-675	329	13	1998	1998	NUM
flr-675	329	14	)	)	PUNCT
flr-675	329	15	.	.	PUNCT
flr-675	330	1	interpretations	interpretation	NOUN
flr-675	330	2	of	of	ADP
flr-675	330	3	multiple	multiple	ADJ
flr-675	330	4	regression	regression	NOUN
flr-675	330	5	borrowed	borrow	VERB
flr-675	330	6	from	from	ADP
flr-675	330	7	factor	factor	NOUN
flr-675	330	8	analysis	analysis	NOUN
flr-675	330	9	and	and	CCONJ
flr-675	330	10	canonical	canonical	ADJ
flr-675	330	11	correlation	correlation	NOUN
flr-675	330	12	.	.	PUNCT
flr-675	331	1	the	the	DET
flr-675	331	2	journal	journal	PROPN
flr-675	331	3	of	of	ADP
flr-675	331	4	general	general	ADJ
flr-675	331	5	psychology	psychology	NOUN
flr-675	331	6	,	,	PUNCT
flr-675	331	7	125(4	125(4	NUM
flr-675	331	8	)	)	PUNCT
flr-675	331	9	,	,	PUNCT
flr-675	331	10	397–407	397–407	NUM
flr-675	331	11	.	.	PUNCT
flr-675	331	12	https://doi.org/10.1080/00221309809595345	https://doi.org/10.1080/00221309809595345	X
flr-675	331	13	field	field	NOUN
flr-675	331	14	,	,	PUNCT
flr-675	331	15	a.	a.	NOUN
flr-675	331	16	p.	p.	NOUN
flr-675	331	17	(	(	PUNCT
flr-675	331	18	2018	2018	NUM
flr-675	331	19	)	)	PUNCT
flr-675	331	20	.	.	PUNCT
flr-675	332	1	discovering	discover	VERB
flr-675	332	2	statistics	statistic	NOUN
flr-675	332	3	using	use	VERB
flr-675	332	4	ibm	ibm	PROPN
flr-675	332	5	spss	spss	PROPN
flr-675	332	6	statistics	statistic	NOUN
flr-675	332	7	(	(	PUNCT
flr-675	332	8	5th	5th	ADJ
flr-675	332	9	ed	ed	NOUN
flr-675	332	10	.	.	PUNCT
flr-675	332	11	)	)	PUNCT
flr-675	332	12	.	.	PUNCT
flr-675	333	1	sage	sage	NOUN
flr-675	333	2	.	.	PUNCT
flr-675	334	1	field	field	NOUN
flr-675	334	2	,	,	PUNCT
flr-675	334	3	a.	a.	NOUN
flr-675	334	4	p.	p.	NOUN
flr-675	334	5	,	,	PUNCT
flr-675	334	6	&	&	CCONJ
flr-675	334	7	gillett	gillett	PROPN
flr-675	334	8	,	,	PUNCT
flr-675	334	9	r.	r.	PROPN
flr-675	334	10	(	(	PUNCT
flr-675	334	11	2010	2010	NUM
flr-675	334	12	)	)	PUNCT
flr-675	334	13	.	.	PUNCT
flr-675	335	1	how	how	SCONJ
flr-675	335	2	to	to	PART
flr-675	335	3	do	do	VERB
flr-675	335	4	a	a	DET
flr-675	335	5	meta-analysis.british	meta-analysis.british	ADJ
flr-675	335	6	journal	journal	NOUN
flr-675	335	7	of	of	ADP
flr-675	335	8	mathematical	mathematical	ADJ
flr-675	335	9	and	and	CCONJ
flr-675	335	10	statistical	statistical	ADJ
flr-675	335	11	psychology	psychology	NOUN
flr-675	335	12	,	,	PUNCT
flr-675	335	13	63(3	63(3	NUM
flr-675	335	14	)	)	PUNCT
flr-675	335	15	,	,	PUNCT
flr-675	335	16	665–694	665–694	NUM
flr-675	335	17	.	.	PUNCT
flr-675	336	1	https://doi.org/10.1348/000711010x502733	https://doi.org/10.1348/000711010x502733	PROPN
flr-675	336	2	fisher	fisher	PROPN
flr-675	336	3	,	,	PUNCT
flr-675	336	4	z.	z.	PROPN
flr-675	336	5	,	,	PUNCT
flr-675	336	6	tipton	tipton	PROPN
flr-675	336	7	,	,	PUNCT
flr-675	336	8	e.	e.	PROPN
flr-675	336	9	,	,	PUNCT
flr-675	336	10	&	&	CCONJ
flr-675	336	11	zhipeng	zhipeng	PROPN
flr-675	336	12	,	,	PUNCT
flr-675	336	13	h.	h.	PROPN
flr-675	336	14	(	(	PUNCT
flr-675	336	15	2017	2017	NUM
flr-675	336	16	)	)	PUNCT
flr-675	336	17	.	.	PUNCT
flr-675	337	1	robumeta	robumeta	PROPN
flr-675	337	2	(	(	PUNCT
flr-675	337	3	version	version	NOUN
flr-675	337	4	2.0	2.0	NUM
flr-675	337	5	)	)	PUNCT
flr-675	338	1	[	[	X
flr-675	338	2	computer	computer	NOUN
flr-675	338	3	software	software	NOUN
flr-675	338	4	]	]	PUNCT
flr-675	338	5	.	.	PUNCT
flr-675	339	1	https://cran.r-project.org/package=robumeta	https://cran.r-project.org/package=robumeta	PROPN
flr-675	339	2	france	france	PROPN
flr-675	339	3	,	,	PUNCT
flr-675	339	4	m.	m.	PROPN
flr-675	339	5	k.	k.	PROPN
flr-675	339	6	,	,	PUNCT
flr-675	339	7	finney	finney	PROPN
flr-675	339	8	,	,	PUNCT
flr-675	339	9	s.	s.	PROPN
flr-675	339	10	j.	j.	PROPN
flr-675	339	11	,	,	PUNCT
flr-675	339	12	&	&	CCONJ
flr-675	339	13	swerdzewski	swerdzewski	PROPN
flr-675	339	14	,	,	PUNCT
flr-675	339	15	p.	p.	NOUN
flr-675	339	16	(	(	PUNCT
flr-675	339	17	2010	2010	NUM
flr-675	339	18	)	)	PUNCT
flr-675	339	19	.	.	PUNCT
flr-675	340	1	students	student	NOUN
flr-675	340	2	’	'	PUNCT
flr-675	340	3	group	group	NOUN
flr-675	340	4	and	and	CCONJ
flr-675	340	5	member	member	NOUN
flr-675	340	6	attachment	attachment	NOUN
flr-675	340	7	to	to	ADP
flr-675	340	8	their	their	PRON
flr-675	340	9	university	university	NOUN
flr-675	340	10	:	:	PUNCT
flr-675	340	11	a	a	DET
flr-675	340	12	construct	construct	NOUN
flr-675	340	13	validity	validity	NOUN
flr-675	340	14	study	study	NOUN
flr-675	340	15	of	of	ADP
flr-675	340	16	the	the	DET
flr-675	340	17	university	university	NOUN
flr-675	340	18	attachment	attachment	NOUN
flr-675	340	19	scale	scale	NOUN
flr-675	340	20	.	.	PUNCT
flr-675	341	1	educational	educational	ADJ
flr-675	341	2	and	and	CCONJ
flr-675	341	3	psychological	psychological	ADJ
flr-675	341	4	measurement	measurement	NOUN
flr-675	341	5	,	,	PUNCT
flr-675	341	6	70(3	70(3	NOUN
flr-675	341	7	)	)	PUNCT
flr-675	341	8	,	,	PUNCT
flr-675	341	9	440–458	440–458	NUM
flr-675	341	10	.	.	PUNCT
flr-675	342	1	https://doi.org/10.1177/0013164409344510	https://doi.org/10.1177/0013164409344510	PROPN
flr-675	342	2	freedman	freedman	PROPN
flr-675	342	3	,	,	PUNCT
flr-675	342	4	d.	d.	PROPN
flr-675	342	5	a.	a.	PROPN
flr-675	342	6	(	(	PUNCT
flr-675	342	7	1999	1999	NUM
flr-675	342	8	)	)	PUNCT
flr-675	342	9	.	.	PUNCT
flr-675	343	1	ecological	ecological	ADJ
flr-675	343	2	inference	inference	NOUN
flr-675	343	3	and	and	CCONJ
flr-675	343	4	the	the	DET
flr-675	343	5	ecological	ecological	ADJ
flr-675	343	6	fallacy	fallacy	NOUN
flr-675	343	7	(	(	PUNCT
flr-675	343	8	technical	technical	ADJ
flr-675	343	9	report	report	NOUN
flr-675	343	10	549	549	NUM
flr-675	343	11	)	)	PUNCT
flr-675	343	12	.	.	PUNCT
flr-675	344	1	https://statistics.berkeley.edu/sites/default/files/tech-reports/549.pdf	https://statistics.berkeley.edu/sites/default/files/tech-reports/549.pdf	PROPN
flr-675	344	2	gravett	gravett	PROPN
flr-675	344	3	,	,	PUNCT
flr-675	344	4	k.	k.	PROPN
flr-675	344	5	(	(	PUNCT
flr-675	344	6	2019	2019	NUM
flr-675	344	7	)	)	PUNCT
flr-675	344	8	.	.	PUNCT
flr-675	345	1	troubling	troubling	ADJ
flr-675	345	2	transitions	transition	NOUN
flr-675	345	3	and	and	CCONJ
flr-675	345	4	celebrating	celebrate	VERB
flr-675	345	5	becomings	becoming	NOUN
flr-675	345	6	:	:	PUNCT
flr-675	345	7	from	from	ADP
flr-675	345	8	pathway	pathway	NOUN
flr-675	345	9	to	to	PART
flr-675	345	10	rhizome	rhizome	VERB
flr-675	345	11	.	.	PUNCT
flr-675	346	1	studies	study	NOUN
flr-675	346	2	in	in	ADP
flr-675	346	3	higher	high	ADJ
flr-675	346	4	education	education	NOUN
flr-675	346	5	,	,	PUNCT
flr-675	346	6	1–12	1–12	PROPN
flr-675	346	7	.	.	PUNCT
flr-675	347	1	https://doi.org/10.1080/03075079.2019.1691162	https://doi.org/10.1080/03075079.2019.1691162	PROPN
flr-675	347	2	hedges	hedges	PROPN
flr-675	347	3	,	,	PUNCT
flr-675	347	4	l.	l.	PROPN
flr-675	347	5	v.	v.	PROPN
flr-675	347	6	,	,	PUNCT
flr-675	347	7	borenstein	borenstein	PROPN
flr-675	347	8	,	,	PUNCT
flr-675	347	9	m.	m.	NOUN
flr-675	347	10	,	,	PUNCT
flr-675	347	11	higgins	higgins	PROPN
flr-675	347	12	,	,	PUNCT
flr-675	347	13	j.	j.	PROPN
flr-675	347	14	p.	p.	PROPN
flr-675	347	15	t.	t.	PROPN
flr-675	347	16	,	,	PUNCT
flr-675	347	17	&	&	CCONJ
flr-675	347	18	rothstein	rothstein	PROPN
flr-675	347	19	,	,	PUNCT
flr-675	347	20	h.	h.	PROPN
flr-675	347	21	r.	r.	PROPN
flr-675	347	22	(	(	PUNCT
flr-675	347	23	2009	2009	NUM
flr-675	347	24	)	)	PUNCT
flr-675	347	25	.	.	PUNCT
flr-675	348	1	introduction	introduction	NOUN
flr-675	348	2	to	to	ADP
flr-675	348	3	meta	meta	ADJ
flr-675	348	4	-	-	PUNCT
flr-675	348	5	analysis	analysis	NOUN
flr-675	348	6	.	.	PUNCT
flr-675	349	1	john	john	PROPN
flr-675	349	2	wiley	wiley	PROPN
flr-675	349	3	&	&	CCONJ
flr-675	349	4	sons	sons	PROPN
flr-675	349	5	,	,	PUNCT
flr-675	349	6	ltd	ltd	PROPN
flr-675	349	7	.	.	PROPN
flr-675	349	8	hedges	hedges	PROPN
flr-675	349	9	,	,	PUNCT
flr-675	349	10	l.	l.	PROPN
flr-675	349	11	v.	v.	PROPN
flr-675	349	12	,	,	PUNCT
flr-675	349	13	tipton	tipton	PROPN
flr-675	349	14	,	,	PUNCT
flr-675	349	15	e.	e.	PROPN
flr-675	349	16	,	,	PUNCT
flr-675	349	17	&	&	CCONJ
flr-675	349	18	johnson	johnson	PROPN
flr-675	349	19	,	,	PUNCT
flr-675	349	20	m.	m.	PROPN
flr-675	349	21	c.	c.	PROPN
flr-675	349	22	(	(	PUNCT
flr-675	349	23	2010	2010	NUM
flr-675	349	24	)	)	PUNCT
flr-675	349	25	.	.	PUNCT
flr-675	350	1	robust	robust	ADJ
flr-675	350	2	variance	variance	NOUN
flr-675	350	3	estimation	estimation	NOUN
flr-675	350	4	in	in	ADP
flr-675	350	5	meta	meta	NOUN
flr-675	350	6	-	-	PUNCT
flr-675	350	7	regression	regression	NOUN
flr-675	350	8	with	with	ADP
flr-675	350	9	dependent	dependent	ADJ
flr-675	350	10	effect	effect	NOUN
flr-675	350	11	size	size	NOUN
flr-675	350	12	estimates	estimate	NOUN
flr-675	350	13	.	.	PUNCT
flr-675	351	1	research	research	NOUN
flr-675	351	2	synthesis	synthesis	NOUN
flr-675	351	3	methods	method	NOUN
flr-675	351	4	,	,	PUNCT
flr-675	351	5	1(1	1(1	NUM
flr-675	351	6	)	)	PUNCT
flr-675	351	7	,	,	PUNCT
flr-675	351	8	39–65	39–65	NUM
flr-675	351	9	.	.	PUNCT
flr-675	352	1	https://doi.org/10.1002/jrsm.5	https://doi.org/10.1002/jrsm.5	PROPN
flr-675	352	2	jones	jones	PROPN
flr-675	352	3	,	,	PUNCT
flr-675	352	4	s.	s.	PROPN
flr-675	352	5	(	(	PUNCT
flr-675	352	6	2018	2018	NUM
flr-675	352	7	)	)	PUNCT
flr-675	352	8	.	.	PUNCT
flr-675	353	1	expectation	expectation	NOUN
flr-675	353	2	vs	vs	ADP
flr-675	353	3	experience	experience	NOUN
flr-675	353	4	:	:	PUNCT
flr-675	353	5	might	might	AUX
flr-675	353	6	transition	transition	NOUN
flr-675	353	7	gaps	gap	NOUN
flr-675	353	8	predict	predict	VERB
flr-675	353	9	undergraduate	undergraduate	ADJ
flr-675	353	10	students	student	NOUN
flr-675	353	11	’	'	PUNCT
flr-675	353	12	outcome	outcome	NOUN
flr-675	353	13	gaps	gap	NOUN
flr-675	353	14	?	?	PUNCT
flr-675	354	1	journal	journal	NOUN
flr-675	354	2	of	of	ADP
flr-675	354	3	further	further	ADJ
flr-675	354	4	and	and	CCONJ
flr-675	354	5	higher	high	ADJ
flr-675	354	6	education	education	NOUN
flr-675	354	7	,	,	PUNCT
flr-675	354	8	42(7	42(7	NOUN
flr-675	354	9	)	)	PUNCT
flr-675	354	10	,	,	PUNCT
flr-675	354	11	908–921	908–921	NUM
flr-675	354	12	.	.	PUNCT
flr-675	355	1	https://doi.org/10.1080/0309877x.2017.1323195	https://doi.org/10.1080/0309877x.2017.1323195	NOUN
flr-675	355	2	karpen	karpen	PROPN
flr-675	355	3	,	,	PUNCT
flr-675	355	4	s.	s.	PROPN
flr-675	355	5	c.	c.	PROPN
flr-675	355	6	(	(	PUNCT
flr-675	355	7	2017	2017	NUM
flr-675	355	8	)	)	PUNCT
flr-675	355	9	.	.	PUNCT
flr-675	356	1	misuses	misuse	NOUN
flr-675	356	2	of	of	ADP
flr-675	356	3	regression	regression	NOUN
flr-675	356	4	and	and	CCONJ
flr-675	356	5	ancova	ancova	NOUN
flr-675	356	6	in	in	ADP
flr-675	356	7	educational	educational	ADJ
flr-675	356	8	research	research	NOUN
flr-675	356	9	.	.	PUNCT
flr-675	357	1	american	american	ADJ
flr-675	357	2	journal	journal	PROPN
flr-675	357	3	of	of	ADP
flr-675	357	4	pharmaceutical	pharmaceutical	ADJ
flr-675	357	5	education	education	NOUN
flr-675	357	6	,	,	PUNCT
flr-675	357	7	81(8	81(8	NUM
flr-675	357	8	)	)	PUNCT
flr-675	357	9	,	,	PUNCT
flr-675	357	10	84–85	84–85	NUM
flr-675	357	11	.	.	PUNCT
flr-675	358	1	https://doi.org/10.5688/ajpe6501	https://doi.org/10.5688/ajpe6501	NOUN
flr-675	358	2	lens	len	NOUN
flr-675	358	3	,	,	PUNCT
flr-675	358	4	d.	d.	PROPN
flr-675	358	5	,	,	PUNCT
flr-675	358	6	&	&	CCONJ
flr-675	358	7	levrau	levrau	PROPN
flr-675	358	8	,	,	PUNCT
flr-675	358	9	f.	f.	PROPN
flr-675	358	10	(	(	PUNCT
flr-675	358	11	2020	2020	NUM
flr-675	358	12	)	)	PUNCT
flr-675	358	13	.	.	PUNCT
flr-675	359	1	can	can	AUX
flr-675	359	2	pre	pre	VERB
flr-675	359	3	-	-	ADJ
flr-675	359	4	entry	entry	ADJ
flr-675	359	5	characteristics	characteristic	NOUN
flr-675	359	6	account	account	VERB
flr-675	359	7	for	for	ADP
flr-675	359	8	the	the	DET
flr-675	359	9	ethnic	ethnic	ADJ
flr-675	359	10	attainment	attainment	ADJ
flr-675	359	11	gap	gap	NOUN
flr-675	359	12	?	?	PUNCT
flr-675	360	1	an	an	DET
flr-675	360	2	analysis	analysis	NOUN
flr-675	360	3	of	of	ADP
flr-675	360	4	a	a	DET
flr-675	360	5	flemish	flemish	ADJ
flr-675	360	6	university	university	NOUN
flr-675	360	7	.	.	PUNCT
flr-675	361	1	research	research	NOUN
flr-675	361	2	in	in	ADP
flr-675	361	3	higher	high	ADJ
flr-675	361	4	education	education	NOUN
flr-675	361	5	,	,	PUNCT
flr-675	361	6	61(1	61(1	NOUN
flr-675	361	7	)	)	PUNCT
flr-675	361	8	,	,	PUNCT
flr-675	361	9	26–50	26–50	NUM
flr-675	361	10	.	.	PUNCT
flr-675	362	1	https://doi.org/10.1007/s11162-019-09554-y	https://doi.org/10.1007/s11162-019-09554-y	PROPN
flr-675	362	2	miller	miller	PROPN
flr-675	362	3	,	,	PUNCT
flr-675	362	4	m.	m.	NOUN
flr-675	362	5	(	(	PUNCT
flr-675	362	6	2016	2016	NUM
flr-675	362	7	)	)	PUNCT
flr-675	362	8	.	.	PUNCT
flr-675	363	1	the	the	DET
flr-675	363	2	ethnicity	ethnicity	NOUN
flr-675	363	3	attainment	attainment	ADJ
flr-675	363	4	gap	gap	NOUN
flr-675	363	5	:	:	PUNCT
flr-675	363	6	literature	literature	NOUN
flr-675	363	7	review	review	NOUN
flr-675	363	8	.	.	PUNCT
flr-675	364	1	the	the	DET
flr-675	364	2	university	university	PROPN
flr-675	364	3	of	of	ADP
flr-675	364	4	sheffield	sheffield	PROPN
flr-675	364	5	widening	widen	VERB
flr-675	364	6	participation	participation	NOUN
flr-675	364	7	research	research	NOUN
flr-675	364	8	&	&	CCONJ
flr-675	364	9	evaluation	evaluation	NOUN
flr-675	364	10	unit	unit	NOUN
flr-675	364	11	.	.	PUNCT
flr-675	365	1	https://www.sheffield.ac.uk/polopoly_fs/1.661523!/file/bme_attainment_gap_literature_review_external_-_miriam_miller.pdf	https://www.sheffield.ac.uk/polopoly_fs/1.661523!/file/bme_attainment_gap_literature_review_external_-_miriam_miller.pdf	PROPN
flr-675	365	2	mood	mood	PROPN
flr-675	365	3	,	,	PUNCT
flr-675	365	4	c.	c.	NOUN
flr-675	365	5	(	(	PUNCT
flr-675	365	6	2010	2010	NUM
flr-675	365	7	)	)	PUNCT
flr-675	365	8	.	.	PUNCT
flr-675	366	1	logistic	logistic	ADJ
flr-675	366	2	regression	regression	NOUN
flr-675	366	3	:	:	PUNCT
flr-675	366	4	why	why	SCONJ
flr-675	366	5	we	we	PRON
flr-675	366	6	can	can	AUX
flr-675	366	7	not	not	PART
flr-675	366	8	do	do	VERB
flr-675	366	9	what	what	PRON
flr-675	366	10	we	we	PRON
flr-675	366	11	think	think	VERB
flr-675	366	12	we	we	PRON
flr-675	366	13	can	can	AUX
flr-675	366	14	do	do	VERB
flr-675	366	15	,	,	PUNCT
flr-675	366	16	and	and	CCONJ
flr-675	366	17	what	what	PRON
flr-675	366	18	we	we	PRON
flr-675	366	19	can	can	AUX
flr-675	366	20	do	do	VERB
flr-675	366	21	about	about	ADP
flr-675	366	22	it	it	PRON
flr-675	366	23	.	.	PUNCT
flr-675	367	1	european	european	ADJ
flr-675	367	2	sociological	sociological	ADJ
flr-675	367	3	review	review	PROPN
flr-675	367	4	,	,	PUNCT
flr-675	367	5	26(1	26(1	NUM
flr-675	367	6	)	)	PUNCT
flr-675	367	7	,	,	PUNCT
flr-675	367	8	67–82	67–82	NUM
flr-675	367	9	.	.	PUNCT
flr-675	368	1	https://doi.org/10.1093/esr/jcp006	https://doi.org/10.1093/esr/jcp006	PROPN
flr-675	368	2	mountford	mountford	PROPN
flr-675	368	3	-	-	PUNCT
flr-675	368	4	zimdars	zimdar	NOUN
flr-675	368	5	,	,	PUNCT
flr-675	368	6	a.	a.	NOUN
flr-675	368	7	,	,	PUNCT
flr-675	368	8	sabri	sabri	PROPN
flr-675	368	9	,	,	PUNCT
flr-675	368	10	d.	d.	PROPN
flr-675	368	11	,	,	PUNCT
flr-675	368	12	moore	moore	PROPN
flr-675	368	13	,	,	PUNCT
flr-675	368	14	j.	j.	PROPN
flr-675	368	15	,	,	PUNCT
flr-675	368	16	sanders	sanders	PROPN
flr-675	368	17	,	,	PUNCT
flr-675	368	18	j.	j.	PROPN
flr-675	368	19	,	,	PUNCT
flr-675	368	20	jones	jones	PROPN
flr-675	368	21	,	,	PUNCT
flr-675	368	22	s.	s.	PROPN
flr-675	368	23	,	,	PUNCT
flr-675	368	24	&	&	CCONJ
flr-675	368	25	hiagham	hiagham	PROPN
flr-675	368	26	,	,	PUNCT
flr-675	368	27	l.	l.	PROPN
flr-675	368	28	(	(	PUNCT
flr-675	368	29	2015	2015	NUM
flr-675	368	30	)	)	PUNCT
flr-675	368	31	.	.	PUNCT
flr-675	369	1	causes	cause	NOUN
flr-675	369	2	of	of	ADP
flr-675	369	3	differences	difference	NOUN
flr-675	369	4	in	in	ADP
flr-675	369	5	student	student	NOUN
flr-675	369	6	outcomes	outcome	NOUN
flr-675	369	7	.	.	PUNCT
flr-675	370	1	higher	high	ADJ
flr-675	370	2	education	education	NOUN
flr-675	370	3	funding	funding	NOUN
flr-675	370	4	council	council	PROPN
flr-675	370	5	for	for	ADP
flr-675	370	6	england	england	PROPN
flr-675	370	7	(	(	PUNCT
flr-675	370	8	hefce	hefce	PROPN
flr-675	370	9	)	)	PUNCT
flr-675	370	10	.	.	PUNCT
flr-675	371	1	https://webarchive.nationalarchives.gov.uk/20180405123119/http://www.hefce.ac.uk/pubs/rereports/year/2015/diffout/	https://webarchive.nationalarchives.gov.uk/20180405123119/http://www.hefce.ac.uk/pubs/rereports/year/2015/diffout/	X
flr-675	371	2	mountford	mountford	NOUN
flr-675	371	3	-	-	PUNCT
flr-675	371	4	zimdars	zimdar	NOUN
flr-675	371	5	,	,	PUNCT
flr-675	371	6	a.	a.	PROPN
flr-675	371	7	,	,	PUNCT
flr-675	371	8	sanders	sanders	PROPN
flr-675	371	9	,	,	PUNCT
flr-675	371	10	j.	j.	PROPN
flr-675	371	11	,	,	PUNCT
flr-675	371	12	moore	moore	PROPN
flr-675	371	13	,	,	PUNCT
flr-675	371	14	j.	j.	PROPN
flr-675	371	15	,	,	PUNCT
flr-675	371	16	sabri	sabri	PROPN
flr-675	371	17	,	,	PUNCT
flr-675	371	18	d.	d.	PROPN
flr-675	371	19	,	,	PUNCT
flr-675	371	20	jones	jones	PROPN
flr-675	371	21	,	,	PUNCT
flr-675	371	22	s.	s.	PROPN
flr-675	371	23	,	,	PUNCT
flr-675	371	24	&	&	CCONJ
flr-675	371	25	higham	higham	PROPN
flr-675	371	26	,	,	PUNCT
flr-675	371	27	l.	l.	PROPN
flr-675	371	28	(	(	PUNCT
flr-675	371	29	2017	2017	NUM
flr-675	371	30	)	)	PUNCT
flr-675	371	31	.	.	PUNCT
flr-675	372	1	what	what	PRON
flr-675	372	2	can	can	AUX
flr-675	372	3	universities	university	NOUN
flr-675	372	4	do	do	VERB
flr-675	372	5	to	to	PART
flr-675	372	6	support	support	VERB
flr-675	372	7	all	all	DET
flr-675	372	8	their	their	PRON
flr-675	372	9	students	student	NOUN
flr-675	372	10	to	to	PART
flr-675	372	11	progress	progress	VERB
flr-675	372	12	successfully	successfully	ADV
flr-675	372	13	throughout	throughout	ADP
flr-675	372	14	their	their	PRON
flr-675	372	15	time	time	NOUN
flr-675	372	16	at	at	ADP
flr-675	372	17	university	university	NOUN
flr-675	372	18	?	?	PUNCT
flr-675	373	1	perspectives	perspective	NOUN
flr-675	373	2	:	:	PUNCT
flr-675	373	3	policy	policy	NOUN
flr-675	373	4	and	and	CCONJ
flr-675	373	5	practice	practice	NOUN
flr-675	373	6	in	in	ADP
flr-675	373	7	higher	high	ADJ
flr-675	373	8	education	education	NOUN
flr-675	373	9	,	,	PUNCT
flr-675	373	10	21	21	NUM
flr-675	373	11	(	(	PUNCT
flr-675	373	12	2–3	2–3	NUM
flr-675	373	13	)	)	PUNCT
flr-675	373	14	,	,	PUNCT
flr-675	373	15	101–110	101–110	NUM
flr-675	373	16	.	.	PUNCT
flr-675	374	1	https://doi.org/10.1080/13603108.2016.1203368	https://doi.org/10.1080/13603108.2016.1203368	PROPN
flr-675	374	2	ofs	ofs	PROPN
flr-675	374	3	.	.	PUNCT
flr-675	375	1	(	(	PUNCT
flr-675	375	2	n.d	n.d	PROPN
flr-675	375	3	.	.	PROPN
flr-675	375	4	)	)	PUNCT
flr-675	375	5	.	.	PUNCT
flr-675	376	1	continuation	continuation	NOUN
flr-675	376	2	and	and	CCONJ
flr-675	376	3	attainment	attainment	NOUN
flr-675	376	4	gaps	gap	NOUN
flr-675	376	5	.	.	PUNCT
flr-675	377	1	https://www.officeforstudents.org.uk/advice-and-guidance/promoting-equal-opportunities/evaluation-and-effective-practice/continuation-and-attainment-gaps/	https://www.officeforstudents.org.uk/advice-and-guidance/promoting-equal-opportunities/evaluation-and-effective-practice/continuation-and-attainment-gaps/	PROPN
flr-675	377	2	pigott	pigott	PROPN
flr-675	377	3	,	,	PUNCT
flr-675	377	4	t.	t.	PROPN
flr-675	377	5	d.	d.	PROPN
flr-675	377	6	,	,	PUNCT
flr-675	377	7	&	&	CCONJ
flr-675	377	8	polanin	polanin	PROPN
flr-675	377	9	,	,	PUNCT
flr-675	377	10	j.	j.	PROPN
flr-675	377	11	r.	r.	PROPN
flr-675	377	12	(	(	PUNCT
flr-675	377	13	2020	2020	NUM
flr-675	377	14	)	)	PUNCT
flr-675	377	15	.	.	PUNCT
flr-675	378	1	methodological	methodological	ADJ
flr-675	378	2	guidance	guidance	NOUN
flr-675	378	3	paper	paper	NOUN
flr-675	378	4	:	:	PUNCT
flr-675	378	5	high	high	ADJ
flr-675	378	6	-	-	PUNCT
flr-675	378	7	quality	quality	NOUN
flr-675	378	8	meta	meta	ADJ
flr-675	378	9	-	-	PUNCT
flr-675	378	10	analysis	analysis	NOUN
flr-675	378	11	in	in	ADP
flr-675	378	12	a	a	DET
flr-675	378	13	systematic	systematic	ADJ
flr-675	378	14	review	review	NOUN
flr-675	378	15	.	.	PUNCT
flr-675	379	1	review	review	NOUN
flr-675	379	2	of	of	ADP
flr-675	379	3	educational	educational	ADJ
flr-675	379	4	research	research	NOUN
flr-675	379	5	,	,	PUNCT
flr-675	379	6	90(1	90(1	NUM
flr-675	379	7	)	)	PUNCT
flr-675	379	8	,	,	PUNCT
flr-675	379	9	24–46	24–46	NUM
flr-675	379	10	.	.	PUNCT
flr-675	380	1	https://doi.org/10.3102/0034654319877153	https://doi.org/10.3102/0034654319877153	VERB
flr-675	380	2	schwartz	schwartz	PROPN
flr-675	380	3	,	,	PUNCT
flr-675	380	4	s.	s.	PROPN
flr-675	380	5	(	(	PUNCT
flr-675	380	6	1994	1994	NUM
flr-675	380	7	)	)	PUNCT
flr-675	380	8	.	.	PUNCT
flr-675	381	1	the	the	DET
flr-675	381	2	fallacy	fallacy	NOUN
flr-675	381	3	of	of	ADP
flr-675	381	4	the	the	DET
flr-675	381	5	ecological	ecological	ADJ
flr-675	381	6	fallacy	fallacy	NOUN
flr-675	381	7	:	:	PUNCT
flr-675	381	8	the	the	DET
flr-675	381	9	potential	potential	ADJ
flr-675	381	10	misuse	misuse	NOUN
flr-675	381	11	of	of	ADP
flr-675	381	12	a	a	DET
flr-675	381	13	concept	concept	NOUN
flr-675	381	14	and	and	CCONJ
flr-675	381	15	the	the	DET
flr-675	381	16	consequences	consequence	NOUN
flr-675	381	17	.	.	PUNCT
flr-675	382	1	american	american	ADJ
flr-675	382	2	journal	journal	PROPN
flr-675	382	3	of	of	ADP
flr-675	382	4	public	public	ADJ
flr-675	382	5	health	health	NOUN
flr-675	382	6	,	,	PUNCT
flr-675	382	7	84(5	84(5	NOUN
flr-675	382	8	)	)	PUNCT
flr-675	382	9	,	,	PUNCT
flr-675	382	10	819–824	819–824	NUM
flr-675	382	11	.	.	PUNCT
flr-675	383	1	https://doi.org/10.2105/ajph.84.5.819	https://doi.org/10.2105/ajph.84.5.819	PROPN
flr-675	383	2	singh	singh	PROPN
flr-675	383	3	,	,	PUNCT
flr-675	383	4	g.	g.	PROPN
flr-675	383	5	(	(	PUNCT
flr-675	383	6	2011	2011	NUM
flr-675	383	7	)	)	PUNCT
flr-675	383	8	.	.	PUNCT
flr-675	384	1	black	black	ADJ
flr-675	384	2	and	and	CCONJ
flr-675	384	3	minority	minority	NOUN
flr-675	384	4	ethnic	ethnic	ADJ
flr-675	384	5	(	(	PUNCT
flr-675	384	6	bme	bme	NOUN
flr-675	384	7	)	)	PUNCT
flr-675	384	8	students	student	NOUN
flr-675	384	9	participation	participation	VERB
flr-675	384	10	in	in	ADP
flr-675	384	11	higher	high	ADJ
flr-675	384	12	education	education	NOUN
flr-675	384	13	:	:	PUNCT
flr-675	384	14	improving	improve	VERB
flr-675	384	15	retention	retention	NOUN
flr-675	384	16	and	and	CCONJ
flr-675	384	17	success	success	NOUN
flr-675	384	18	.	.	PUNCT
flr-675	385	1	higher	high	ADJ
flr-675	385	2	education	education	PROPN
flr-675	385	3	academy	academy	PROPN
flr-675	385	4	(	(	PUNCT
flr-675	385	5	hea	hea	PROPN
flr-675	385	6	)	)	PUNCT
flr-675	385	7	.	.	PUNCT
flr-675	386	1	https://www.heacademy.ac.uk/system/files/bme_synthesis_final.pdf	https://www.heacademy.ac.uk/system/files/bme_synthesis_final.pdf	PROPN
flr-675	386	2	stevenson	stevenson	PROPN
flr-675	386	3	,	,	PUNCT
flr-675	386	4	j.	j.	PROPN
flr-675	386	5	(	(	PUNCT
flr-675	386	6	2012	2012	NUM
flr-675	386	7	)	)	PUNCT
flr-675	386	8	.	.	PUNCT
flr-675	387	1	black	black	ADJ
flr-675	387	2	and	and	CCONJ
flr-675	387	3	minority	minority	NOUN
flr-675	387	4	ethnic	ethnic	ADJ
flr-675	387	5	student	student	NOUN
flr-675	387	6	degree	degree	NOUN
flr-675	387	7	retention	retention	NOUN
flr-675	387	8	and	and	CCONJ
flr-675	387	9	attainment	attainment	NOUN
flr-675	387	10	.	.	PUNCT
flr-675	388	1	higher	high	ADJ
flr-675	388	2	education	education	PROPN
flr-675	388	3	academy	academy	PROPN
flr-675	388	4	(	(	PUNCT
flr-675	388	5	hea	hea	PROPN
flr-675	388	6	)	)	PUNCT
flr-675	388	7	.	.	PUNCT
flr-675	389	1	https://www.heacademy.ac.uk/system/files/bme_summit_final_report.pdf	https://www.heacademy.ac.uk/system/files/bme_summit_final_report.pdf	PROPN
flr-675	389	2	tanner	tanner	NOUN
flr-675	389	3	-	-	PUNCT
flr-675	389	4	smith	smith	PROPN
flr-675	389	5	,	,	PUNCT
flr-675	389	6	e.	e.	PROPN
flr-675	389	7	e.	e.	PROPN
flr-675	389	8	,	,	PUNCT
flr-675	389	9	&	&	CCONJ
flr-675	389	10	tipton	tipton	PROPN
flr-675	389	11	,	,	PUNCT
flr-675	389	12	e.	e.	PROPN
flr-675	389	13	(	(	PUNCT
flr-675	389	14	2014	2014	NUM
flr-675	389	15	)	)	PUNCT
flr-675	389	16	.	.	PUNCT
flr-675	390	1	robust	robust	ADJ
flr-675	390	2	variance	variance	NOUN
flr-675	390	3	estimation	estimation	NOUN
flr-675	390	4	with	with	ADP
flr-675	390	5	dependent	dependent	ADJ
flr-675	390	6	effect	effect	NOUN
flr-675	390	7	sizes	size	NOUN
flr-675	390	8	:	:	PUNCT
flr-675	390	9	practical	practical	ADJ
flr-675	390	10	considerations	consideration	NOUN
flr-675	390	11	including	include	VERB
flr-675	390	12	a	a	DET
flr-675	390	13	software	software	NOUN
flr-675	390	14	tutorial	tutorial	NOUN
flr-675	390	15	in	in	ADP
flr-675	390	16	stata	stata	NOUN
flr-675	390	17	and	and	CCONJ
flr-675	390	18	spss	spss	PROPN
flr-675	390	19	.	.	PUNCT
flr-675	391	1	research	research	NOUN
flr-675	391	2	synthesis	synthesis	NOUN
flr-675	391	3	methods	method	NOUN
flr-675	391	4	,	,	PUNCT
flr-675	391	5	5	5	NUM
flr-675	391	6	(	(	PUNCT
flr-675	391	7	1	1	NUM
flr-675	391	8	)	)	PUNCT
flr-675	391	9	,	,	PUNCT
flr-675	391	10	13–30	13–30	NUM
flr-675	391	11	.	.	PUNCT
flr-675	392	1	https://doi.org/10.1002/jrsm.1091	https://doi.org/10.1002/jrsm.1091	NOUN
flr-675	392	2	tanner	tanner	NOUN
flr-675	392	3	-	-	PUNCT
flr-675	392	4	smith	smith	PROPN
flr-675	392	5	,	,	PUNCT
flr-675	392	6	e.	e.	PROPN
flr-675	392	7	e.	e.	PROPN
flr-675	392	8	,	,	PUNCT
flr-675	392	9	tipton	tipton	PROPN
flr-675	392	10	,	,	PUNCT
flr-675	392	11	e.	e.	PROPN
flr-675	392	12	,	,	PUNCT
flr-675	392	13	&	&	CCONJ
flr-675	392	14	polanin	polanin	PROPN
flr-675	392	15	,	,	PUNCT
flr-675	392	16	j.	j.	PROPN
flr-675	392	17	r.	r.	PROPN
flr-675	392	18	(	(	PUNCT
flr-675	392	19	2016	2016	NUM
flr-675	392	20	)	)	PUNCT
flr-675	392	21	.	.	PUNCT
flr-675	393	1	handling	handle	VERB
flr-675	393	2	complex	complex	ADJ
flr-675	393	3	meta	meta	ADJ
flr-675	393	4	-	-	PUNCT
flr-675	393	5	analytic	analytic	ADJ
flr-675	393	6	data	data	NOUN
flr-675	393	7	structures	structure	NOUN
flr-675	393	8	using	use	VERB
flr-675	393	9	robust	robust	ADJ
flr-675	393	10	variance	variance	NOUN
flr-675	393	11	estimates	estimate	NOUN
flr-675	393	12	:	:	PUNCT
flr-675	393	13	a	a	DET
flr-675	393	14	tutorial	tutorial	NOUN
flr-675	393	15	in	in	ADP
flr-675	393	16	r.	r.	PROPN
flr-675	393	17	journal	journal	PROPN
flr-675	393	18	of	of	ADP
flr-675	393	19	developmental	developmental	ADJ
flr-675	393	20	and	and	CCONJ
flr-675	393	21	life	life	NOUN
flr-675	393	22	-	-	PUNCT
flr-675	393	23	course	course	NOUN
flr-675	393	24	criminology	criminology	NOUN
flr-675	393	25	,	,	PUNCT
flr-675	393	26	2	2	NUM
flr-675	393	27	(	(	PUNCT
flr-675	393	28	1	1	NUM
flr-675	393	29	)	)	PUNCT
flr-675	393	30	,	,	PUNCT
flr-675	393	31	85–112	85–112	NUM
flr-675	393	32	.	.	PUNCT
flr-675	393	33	https://doi.org/10.1007/s40865-016-0026-5	https://doi.org/10.1007/s40865-016-0026-5	PROPN
flr-675	393	34	thompson	thompson	PROPN
flr-675	393	35	,	,	PUNCT
flr-675	393	36	c.	c.	PROPN
flr-675	393	37	g.	g.	PROPN
flr-675	393	38	,	,	PUNCT
flr-675	393	39	kim	kim	PROPN
flr-675	393	40	,	,	PUNCT
flr-675	393	41	r.	r.	PROPN
flr-675	393	42	s.	s.	PROPN
flr-675	393	43	,	,	PUNCT
flr-675	393	44	aloe	aloe	PROPN
flr-675	393	45	,	,	PUNCT
flr-675	393	46	a.	a.	NOUN
flr-675	393	47	m.	m.	NOUN
flr-675	393	48	,	,	PUNCT
flr-675	393	49	&	&	CCONJ
flr-675	393	50	becker	becker	PROPN
flr-675	393	51	,	,	PUNCT
flr-675	393	52	b.	b.	PROPN
flr-675	393	53	j.	j.	PROPN
flr-675	393	54	(	(	PUNCT
flr-675	393	55	2017	2017	NUM
flr-675	393	56	)	)	PUNCT
flr-675	393	57	.	.	PUNCT
flr-675	394	1	extracting	extract	VERB
flr-675	394	2	the	the	DET
flr-675	394	3	variance	variance	NOUN
flr-675	394	4	inflation	inflation	NOUN
flr-675	394	5	factor	factor	NOUN
flr-675	394	6	and	and	CCONJ
flr-675	394	7	other	other	ADJ
flr-675	394	8	multicollinearity	multicollinearity	NOUN
flr-675	394	9	diagnostics	diagnostic	NOUN
flr-675	394	10	from	from	ADP
flr-675	394	11	typical	typical	ADJ
flr-675	394	12	regression	regression	NOUN
flr-675	394	13	results	result	NOUN
flr-675	394	14	.	.	PUNCT
flr-675	395	1	basic	basic	ADJ
flr-675	395	2	and	and	CCONJ
flr-675	395	3	applied	apply	VERB
flr-675	395	4	social	social	ADJ
flr-675	395	5	psychology	psychology	NOUN
flr-675	395	6	,	,	PUNCT
flr-675	395	7	39(2	39(2	NUM
flr-675	395	8	)	)	PUNCT
flr-675	395	9	,	,	PUNCT
flr-675	395	10	81–90	81–90	NUM
flr-675	395	11	.	.	PUNCT
flr-675	396	1	https://doi.org/10.1080/01973533.2016.1277529	https://doi.org/10.1080/01973533.2016.1277529	ADV
flr-675	396	2	tieben	tieben	ADV
flr-675	396	3	,	,	PUNCT
flr-675	396	4	n.	n.	NOUN
flr-675	396	5	(	(	PUNCT
flr-675	396	6	2020	2020	NUM
flr-675	396	7	)	)	PUNCT
flr-675	396	8	.	.	PUNCT
flr-675	397	1	non	non	ADJ
flr-675	397	2	-	-	ADJ
flr-675	397	3	completion	completion	ADJ
flr-675	397	4	,	,	PUNCT
flr-675	397	5	transfer	transfer	NOUN
flr-675	397	6	,	,	PUNCT
flr-675	397	7	and	and	CCONJ
flr-675	397	8	dropout	dropout	NOUN
flr-675	397	9	of	of	ADP
flr-675	397	10	traditional	traditional	ADJ
flr-675	397	11	and	and	CCONJ
flr-675	397	12	non	non	ADJ
flr-675	397	13	-	-	ADJ
flr-675	397	14	traditional	traditional	ADJ
flr-675	397	15	students	student	NOUN
flr-675	397	16	in	in	ADP
flr-675	397	17	germany	germany	PROPN
flr-675	397	18	.	.	PUNCT
flr-675	398	1	research	research	NOUN
flr-675	398	2	in	in	ADP
flr-675	398	3	higher	high	ADJ
flr-675	398	4	education	education	NOUN
flr-675	398	5	,	,	PUNCT
flr-675	398	6	61(1	61(1	NOUN
flr-675	398	7	)	)	PUNCT
flr-675	398	8	,	,	PUNCT
flr-675	398	9	117–141	117–141	NUM
flr-675	398	10	.	.	PUNCT
flr-675	399	1	https://doi.org/10.1007/s11162-019-09553-z	https://doi.org/10.1007/s11162-019-09553-z	PROPN
flr-675	399	2	tinto	tinto	PROPN
flr-675	399	3	,	,	PUNCT
flr-675	399	4	v.	v.	CCONJ
flr-675	399	5	(	(	PUNCT
flr-675	399	6	1993	1993	NUM
flr-675	399	7	)	)	PUNCT
flr-675	399	8	.	.	PUNCT
flr-675	400	1	leaving	leave	VERB
flr-675	400	2	college	college	NOUN
flr-675	400	3	:	:	PUNCT
flr-675	400	4	rethinking	rethink	VERB
flr-675	400	5	the	the	DET
flr-675	400	6	causes	cause	NOUN
flr-675	400	7	and	and	CCONJ
flr-675	400	8	cures	cure	NOUN
flr-675	400	9	of	of	ADP
flr-675	400	10	student	student	NOUN
flr-675	400	11	attrition	attrition	NOUN
flr-675	400	12	(	(	PUNCT
flr-675	400	13	2nd	2nd	ADJ
flr-675	400	14	ed	ed	NOUN
flr-675	400	15	.	.	PUNCT
flr-675	400	16	)	)	PUNCT
flr-675	400	17	.	.	PUNCT
flr-675	401	1	university	university	NOUN
flr-675	401	2	of	of	ADP
flr-675	401	3	chicago	chicago	PROPN
flr-675	401	4	press	press	PROPN
flr-675	401	5	.	.	PUNCT
flr-675	402	1	tipton	tipton	PROPN
flr-675	402	2	,	,	PUNCT
flr-675	402	3	e.	e.	PROPN
flr-675	402	4	,	,	PUNCT
flr-675	402	5	&	&	CCONJ
flr-675	402	6	pustejovsky	pustejovsky	PROPN
flr-675	402	7	,	,	PUNCT
flr-675	402	8	j.	j.	PROPN
flr-675	402	9	e.	e.	PROPN
flr-675	402	10	(	(	PUNCT
flr-675	402	11	2015	2015	NUM
flr-675	402	12	)	)	PUNCT
flr-675	402	13	.	.	PUNCT
flr-675	403	1	small	small	ADJ
flr-675	403	2	-	-	PUNCT
flr-675	403	3	sample	sample	NOUN
flr-675	403	4	adjustments	adjustment	NOUN
flr-675	403	5	for	for	ADP
flr-675	403	6	tests	test	NOUN
flr-675	403	7	of	of	ADP
flr-675	403	8	moderators	moderator	NOUN
flr-675	403	9	and	and	CCONJ
flr-675	403	10	model	model	NOUN
flr-675	403	11	fit	fit	ADJ
flr-675	403	12	using	use	VERB
flr-675	403	13	robust	robust	ADJ
flr-675	403	14	variance	variance	NOUN
flr-675	403	15	estimation	estimation	NOUN
flr-675	403	16	in	in	ADP
flr-675	403	17	meta	meta	NOUN
flr-675	403	18	-	-	PUNCT
flr-675	403	19	regression	regression	NOUN
flr-675	403	20	.	.	PUNCT
flr-675	404	1	journal	journal	NOUN
flr-675	404	2	of	of	ADP
flr-675	404	3	educational	educational	ADJ
flr-675	404	4	and	and	CCONJ
flr-675	404	5	behavioral	behavioral	ADJ
flr-675	404	6	statistics	statistic	NOUN
flr-675	404	7	,	,	PUNCT
flr-675	404	8	40(6	40(6	NOUN
flr-675	404	9	)	)	PUNCT
flr-675	404	10	,	,	PUNCT
flr-675	404	11	604–634	604–634	NUM
flr-675	404	12	.	.	PUNCT
flr-675	405	1	https://doi.org/10.3102/1076998615606099	https://doi.org/10.3102/1076998615606099	PROPN
flr-675	405	2	tonidandel	tonidandel	PROPN
flr-675	405	3	,	,	PUNCT
flr-675	405	4	s.	s.	PROPN
flr-675	405	5	,	,	PUNCT
flr-675	405	6	&	&	CCONJ
flr-675	405	7	lebreton	lebreton	PROPN
flr-675	405	8	,	,	PUNCT
flr-675	405	9	j.	j.	PROPN
flr-675	405	10	m.	m.	PROPN
flr-675	405	11	(	(	PUNCT
flr-675	405	12	2015	2015	NUM
flr-675	405	13	)	)	PUNCT
flr-675	405	14	.	.	PUNCT
flr-675	406	1	rwa	rwa	PROPN
flr-675	406	2	web	web	PROPN
flr-675	406	3	:	:	PUNCT
flr-675	406	4	a	a	DET
flr-675	406	5	free	free	ADJ
flr-675	406	6	,	,	PUNCT
flr-675	406	7	comprehensive	comprehensive	ADJ
flr-675	406	8	,	,	PUNCT
flr-675	406	9	web	web	NOUN
flr-675	406	10	-	-	PUNCT
flr-675	406	11	based	base	VERB
flr-675	406	12	,	,	PUNCT
flr-675	406	13	and	and	CCONJ
flr-675	406	14	user	user	NOUN
flr-675	406	15	-	-	PUNCT
flr-675	406	16	friendly	friendly	ADJ
flr-675	406	17	tool	tool	NOUN
flr-675	406	18	for	for	ADP
flr-675	406	19	relative	relative	ADJ
flr-675	406	20	weight	weight	NOUN
flr-675	406	21	analyses	analysis	NOUN
flr-675	406	22	.	.	PUNCT
flr-675	407	1	journal	journal	NOUN
flr-675	407	2	of	of	ADP
flr-675	407	3	business	business	NOUN
flr-675	407	4	and	and	CCONJ
flr-675	407	5	psychology	psychology	NOUN
flr-675	407	6	,	,	PUNCT
flr-675	407	7	30(2	30(2	NUM
flr-675	407	8	)	)	PUNCT
flr-675	407	9	,	,	PUNCT
flr-675	407	10	207–216	207–216	NUM
flr-675	407	11	.	.	PUNCT
flr-675	408	1	https://doi.org/10.1007/s10869-014-9351-z	https://doi.org/10.1007/s10869-014-9351-z	PROPN
flr-675	408	2	uuk	uuk	PROPN
flr-675	408	3	&	&	CCONJ
flr-675	408	4	nus	nus	PROPN
flr-675	408	5	.	.	PUNCT
flr-675	409	1	(	(	PUNCT
flr-675	409	2	2019	2019	NUM
flr-675	409	3	)	)	PUNCT
flr-675	409	4	.	.	PUNCT
flr-675	410	1	black	black	ADJ
flr-675	410	2	,	,	PUNCT
flr-675	410	3	asian	asian	ADJ
flr-675	410	4	and	and	CCONJ
flr-675	410	5	minority	minority	NOUN
flr-675	410	6	ethnic	ethnic	ADJ
flr-675	410	7	student	student	NOUN
flr-675	410	8	attainment	attainment	NOUN
flr-675	410	9	at	at	ADP
flr-675	410	10	uk	uk	PROPN
flr-675	410	11	universities	university	NOUN
flr-675	410	12	:	:	PUNCT
flr-675	410	13	#	#	SYM
flr-675	410	14	closingthegap	closingthegap	NOUN
flr-675	410	15	.	.	PUNCT
flr-675	411	1	universities	university	NOUN
flr-675	411	2	uk	uk	PROPN
flr-675	411	3	&	&	CCONJ
flr-675	411	4	national	national	PROPN
flr-675	411	5	union	union	PROPN
flr-675	411	6	of	of	ADP
flr-675	411	7	students	student	NOUN
flr-675	411	8	.	.	PUNCT
flr-675	412	1	https://www.universitiesuk.ac.uk/news/pages/universities-acting-to-close-bame-student-attainment-gap.aspx	https://www.universitiesuk.ac.uk/news/pages/universities-acting-to-close-bame-student-attainment-gap.aspx	PROPN
flr-675	412	2	woodfield	woodfield	PROPN
flr-675	412	3	,	,	PUNCT
flr-675	412	4	r.	r.	PROPN
flr-675	412	5	(	(	PUNCT
flr-675	412	6	2014	2014	NUM
flr-675	412	7	)	)	PUNCT
flr-675	412	8	.	.	PUNCT
flr-675	413	1	undergraduate	undergraduate	ADJ
flr-675	413	2	retention	retention	NOUN
flr-675	413	3	and	and	CCONJ
flr-675	413	4	attainment	attainment	NOUN
flr-675	413	5	across	across	ADP
flr-675	413	6	the	the	DET
flr-675	413	7	disciplines	discipline	NOUN
flr-675	413	8	.	.	PUNCT
flr-675	414	1	higher	high	ADJ
flr-675	414	2	education	education	PROPN
flr-675	414	3	academy	academy	PROPN
flr-675	414	4	(	(	PUNCT
flr-675	414	5	hea	hea	PROPN
flr-675	414	6	)	)	PUNCT
flr-675	414	7	.	.	PUNCT
flr-675	415	1	https://www.advance-he.ac.uk/knowledge-hub/undergraduate-retention-and-attainment-across-disciplines	https://www.advance-he.ac.uk/knowledge-hub/undergraduate-retention-and-attainment-across-discipline	NOUN