id	sid	tid	token	lemma	pos
csf-3710	1	1	prison	prison	NOUN
csf-3710	1	2	size	size	NOUN
csf-3710	1	3	and	and	CCONJ
csf-3710	1	4	inmate	inmate	VERB
csf-3710	1	5	rule	rule	NOUN
csf-3710	1	6	violation	violation	NOUN
csf-3710	1	7	prison	prison	NOUN
csf-3710	1	8	size	size	NOUN
csf-3710	1	9	and	and	CCONJ
csf-3710	1	10	inmate	inmate	NOUN
csf-3710	1	11	rule	rule	NOUN
csf-3710	1	12	violation	violation	NOUN
csf-3710	1	13	alex	alex	PROPN
csf-3710	1	14	martinez	martinez	PROPN
csf-3710	1	15	department	department	PROPN
csf-3710	1	16	of	of	ADP
csf-3710	1	17	sociology	sociology	PROPN
csf-3710	1	18	california	california	PROPN
csf-3710	1	19	state	state	PROPN
csf-3710	1	20	university	university	PROPN
csf-3710	1	21	,	,	PUNCT
csf-3710	1	22	los	los	PROPN
csf-3710	1	23	angeles	angeles	PROPN
csf-3710	1	24	in	in	ADP
csf-3710	1	25	recent	recent	ADJ
csf-3710	1	26	decades	decade	NOUN
csf-3710	1	27	the	the	DET
csf-3710	1	28	prison	prison	NOUN
csf-3710	1	29	industry	industry	NOUN
csf-3710	1	30	has	have	AUX
csf-3710	1	31	grown	grow	VERB
csf-3710	1	32	at	at	ADP
csf-3710	1	33	an	an	DET
csf-3710	1	34	unprecedented	unprecedented	ADJ
csf-3710	1	35	rate	rate	NOUN
csf-3710	1	36	.	.	PUNCT
csf-3710	2	1	prisons	prison	NOUN
csf-3710	2	2	have	have	AUX
csf-3710	2	3	become	become	VERB
csf-3710	2	4	overcrowded	overcrowded	ADJ
csf-3710	2	5	and	and	CCONJ
csf-3710	2	6	underfunded	underfunded	ADJ
csf-3710	2	7	.	.	PUNCT
csf-3710	3	1	because	because	SCONJ
csf-3710	3	2	of	of	ADP
csf-3710	3	3	the	the	DET
csf-3710	3	4	demographics	demographic	NOUN
csf-3710	3	5	of	of	ADP
csf-3710	3	6	those	those	PRON
csf-3710	3	7	housed	house	VERB
csf-3710	3	8	in	in	ADP
csf-3710	3	9	prisons	prison	NOUN
csf-3710	3	10	,	,	PUNCT
csf-3710	3	11	it	it	PRON
csf-3710	3	12	is	be	AUX
csf-3710	3	13	important	important	ADJ
csf-3710	3	14	to	to	PART
csf-3710	3	15	understand	understand	VERB
csf-3710	3	16	how	how	SCONJ
csf-3710	3	17	increased	increase	VERB
csf-3710	3	18	overcrowding	overcrowding	NOUN
csf-3710	3	19	has	have	AUX
csf-3710	3	20	affected	affect	VERB
csf-3710	3	21	their	their	PRON
csf-3710	3	22	behavior	behavior	NOUN
csf-3710	3	23	and	and	CCONJ
csf-3710	3	24	tendency	tendency	NOUN
csf-3710	3	25	to	to	PART
csf-3710	3	26	break	break	VERB
csf-3710	3	27	prison	prison	NOUN
csf-3710	3	28	rules	rule	NOUN
csf-3710	3	29	.	.	PUNCT
csf-3710	4	1	in	in	ADP
csf-3710	4	2	this	this	DET
csf-3710	4	3	study	study	NOUN
csf-3710	4	4	we	we	PRON
csf-3710	4	5	look	look	VERB
csf-3710	4	6	at	at	ADP
csf-3710	4	7	a	a	DET
csf-3710	4	8	data	data	NOUN
csf-3710	4	9	set	set	VERB
csf-3710	4	10	collected	collect	VERB
csf-3710	4	11	by	by	ADP
csf-3710	4	12	the	the	DET
csf-3710	4	13	ohio	ohio	PROPN
csf-3710	4	14	department	department	PROPN
csf-3710	4	15	of	of	ADP
csf-3710	4	16	rehabilitation	rehabilitation	NOUN
csf-3710	4	17	to	to	PART
csf-3710	4	18	analyze	analyze	VERB
csf-3710	4	19	any	any	DET
csf-3710	4	20	possible	possible	ADJ
csf-3710	4	21	connections	connection	NOUN
csf-3710	4	22	between	between	ADP
csf-3710	4	23	prison	prison	NOUN
csf-3710	4	24	size	size	NOUN
csf-3710	4	25	and	and	CCONJ
csf-3710	4	26	inmate	inmate	VERB
csf-3710	4	27	rule	rule	NOUN
csf-3710	4	28	violation	violation	NOUN
csf-3710	4	29	.	.	PUNCT
csf-3710	5	1	three	three	NUM
csf-3710	5	2	distinct	distinct	ADJ
csf-3710	5	3	sizes	size	NOUN
csf-3710	5	4	were	be	AUX
csf-3710	5	5	examined	examine	VERB
csf-3710	5	6	while	while	SCONJ
csf-3710	5	7	also	also	ADV
csf-3710	5	8	taking	take	VERB
csf-3710	5	9	into	into	ADP
csf-3710	5	10	consideration	consideration	NOUN
csf-3710	5	11	other	other	ADJ
csf-3710	5	12	factors	factor	NOUN
csf-3710	5	13	such	such	ADJ
csf-3710	5	14	as	as	ADP
csf-3710	5	15	age	age	NOUN
csf-3710	5	16	,	,	PUNCT
csf-3710	5	17	ethnicity	ethnicity	NOUN
csf-3710	5	18	and	and	CCONJ
csf-3710	5	19	education	education	NOUN
csf-3710	5	20	level	level	NOUN
csf-3710	5	21	.	.	PUNCT
csf-3710	6	1	for	for	ADP
csf-3710	6	2	our	our	PRON
csf-3710	6	3	analysis	analysis	NOUN
csf-3710	6	4	we	we	PRON
csf-3710	6	5	used	use	VERB
csf-3710	6	6	a	a	DET
csf-3710	6	7	negative	negative	ADJ
csf-3710	6	8	binomial	binomial	ADJ
csf-3710	6	9	regression	regression	NOUN
csf-3710	6	10	model	model	NOUN
csf-3710	6	11	.	.	PUNCT
csf-3710	7	1	findings	finding	NOUN
csf-3710	7	2	showed	show	VERB
csf-3710	7	3	a	a	DET
csf-3710	7	4	relationship	relationship	NOUN
csf-3710	7	5	between	between	ADP
csf-3710	7	6	ethnicity	ethnicity	NOUN
csf-3710	7	7	/	/	SYM
csf-3710	7	8	age	age	NOUN
csf-3710	7	9	and	and	CCONJ
csf-3710	7	10	prison	prison	NOUN
csf-3710	7	11	size	size	NOUN
csf-3710	7	12	at	at	ADP
csf-3710	7	13	smaller	small	ADJ
csf-3710	7	14	prisons	prison	NOUN
csf-3710	7	15	.	.	PUNCT
csf-3710	8	1	no	no	DET
csf-3710	8	2	significant	significant	ADJ
csf-3710	8	3	relationships	relationship	NOUN
csf-3710	8	4	were	be	AUX
csf-3710	8	5	found	find	VERB
csf-3710	8	6	within	within	ADP
csf-3710	8	7	medium	medium	ADJ
csf-3710	8	8	and	and	CCONJ
csf-3710	8	9	large	large	ADJ
csf-3710	8	10	prisons	prison	NOUN
csf-3710	8	11	.	.	PUNCT
csf-3710	9	1	nevertheless	nevertheless	ADV
csf-3710	9	2	,	,	PUNCT
csf-3710	9	3	a	a	DET
csf-3710	9	4	more	more	ADV
csf-3710	9	5	comprehensive	comprehensive	ADJ
csf-3710	9	6	study	study	NOUN
csf-3710	9	7	of	of	ADP
csf-3710	9	8	prison	prison	NOUN
csf-3710	9	9	size	size	NOUN
csf-3710	9	10	affects	affect	VERB
csf-3710	9	11	is	be	AUX
csf-3710	9	12	needed	need	VERB
csf-3710	9	13	to	to	PART
csf-3710	9	14	address	address	VERB
csf-3710	9	15	the	the	DET
csf-3710	9	16	potentially	potentially	ADV
csf-3710	9	17	disastrous	disastrous	ADJ
csf-3710	9	18	effects	effect	NOUN
csf-3710	9	19	of	of	ADP
csf-3710	9	20	overcrowded	overcrowded	ADJ
csf-3710	9	21	prisons	prison	NOUN
csf-3710	9	22	.	.	PUNCT
csf-3710	10	1	introduction1	introduction1	NOUN
csf-3710	10	2	today	today	NOUN
csf-3710	10	3	the	the	DET
csf-3710	10	4	prison	prison	NOUN
csf-3710	10	5	industrial	industrial	ADJ
csf-3710	10	6	complex	complex	NOUN
csf-3710	10	7	is	be	AUX
csf-3710	10	8	a	a	DET
csf-3710	10	9	huge	huge	ADJ
csf-3710	10	10	and	and	CCONJ
csf-3710	10	11	profitable	profitable	ADJ
csf-3710	10	12	industry	industry	NOUN
csf-3710	10	13	in	in	ADP
csf-3710	10	14	the	the	DET
csf-3710	10	15	united	united	PROPN
csf-3710	10	16	states	states	PROPN
csf-3710	10	17	.	.	PUNCT
csf-3710	11	1	the	the	DET
csf-3710	11	2	industry	industry	NOUN
csf-3710	11	3	provides	provide	VERB
csf-3710	11	4	many	many	ADJ
csf-3710	11	5	jobs	job	NOUN
csf-3710	11	6	not	not	PART
csf-3710	11	7	only	only	ADV
csf-3710	11	8	in	in	ADP
csf-3710	11	9	the	the	DET
csf-3710	11	10	area	area	NOUN
csf-3710	11	11	where	where	SCONJ
csf-3710	11	12	a	a	DET
csf-3710	11	13	particular	particular	ADJ
csf-3710	11	14	prison	prison	NOUN
csf-3710	11	15	is	be	AUX
csf-3710	11	16	located	locate	VERB
csf-3710	11	17	,	,	PUNCT
csf-3710	11	18	but	but	CCONJ
csf-3710	11	19	alex	alex	PROPN
csf-3710	11	20	martinez	martinez	PROPN
csf-3710	11	21	is	be	AUX
csf-3710	11	22	a	a	DET
csf-3710	11	23	graduate	graduate	NOUN
csf-3710	11	24	student	student	NOUN
csf-3710	11	25	at	at	ADP
csf-3710	11	26	the	the	DET
csf-3710	11	27	department	department	NOUN
csf-3710	11	28	of	of	ADP
csf-3710	11	29	sociology	sociology	NOUN
csf-3710	11	30	,	,	PUNCT
csf-3710	11	31	california	california	PROPN
csf-3710	11	32	state	state	PROPN
csf-3710	11	33	university	university	PROPN
csf-3710	11	34	.	.	PUNCT
csf-3710	12	1	he	he	PRON
csf-3710	12	2	is	be	AUX
csf-3710	12	3	currently	currently	ADV
csf-3710	12	4	working	work	VERB
csf-3710	12	5	on	on	ADP
csf-3710	12	6	his	his	PRON
csf-3710	12	7	master	master	NOUN
csf-3710	12	8	’s	’s	PART
csf-3710	12	9	thesis	thesis	NOUN
csf-3710	12	10	under	under	ADP
csf-3710	12	11	the	the	DET
csf-3710	12	12	supervision	supervision	NOUN
csf-3710	12	13	of	of	ADP
csf-3710	12	14	professors	professor	NOUN
csf-3710	12	15	hyojoung	hyojoung	VERB
csf-3710	12	16	kim	kim	PROPN
csf-3710	12	17	(	(	PUNCT
csf-3710	12	18	chair	chair	PROPN
csf-3710	12	19	)	)	PUNCT
csf-3710	12	20	,	,	PUNCT
csf-3710	12	21	cristina	cristina	PROPN
csf-3710	12	22	bodinger	bodinger	NOUN
csf-3710	12	23	-	-	PUNCT
csf-3710	12	24	deuriarte	deuriarte	NOUN
csf-3710	12	25	,	,	PUNCT
csf-3710	12	26	and	and	CCONJ
csf-3710	12	27	gretchen	gretchen	PROPN
csf-3710	12	28	peterson	peterson	PROPN
csf-3710	12	29	.	.	PUNCT
csf-3710	13	1	the	the	DET
csf-3710	13	2	current	current	ADJ
csf-3710	13	3	paper	paper	NOUN
csf-3710	13	4	was	be	AUX
csf-3710	13	5	initially	initially	ADV
csf-3710	13	6	submitted	submit	VERB
csf-3710	13	7	to	to	ADP
csf-3710	13	8	soc	soc	NOUN
csf-3710	13	9	.	.	PUNCT
csf-3710	14	1	410	410	NUM
csf-3710	14	2	(	(	PUNCT
csf-3710	14	3	advanced	advanced	ADJ
csf-3710	14	4	statistics	statistic	NOUN
csf-3710	14	5	)	)	PUNCT
csf-3710	14	6	,	,	PUNCT
csf-3710	14	7	taught	teach	VERB
csf-3710	14	8	by	by	ADP
csf-3710	14	9	professor	professor	NOUN
csf-3710	14	10	hyojoung	hyojoung	PROPN
csf-3710	14	11	kim	kim	PROPN
csf-3710	14	12	in	in	ADP
csf-3710	14	13	fall	fall	NOUN
csf-3710	14	14	2007	2007	NUM
csf-3710	14	15	.	.	PUNCT
csf-3710	15	1	nationally	nationally	ADV
csf-3710	15	2	as	as	ADV
csf-3710	15	3	well	well	ADV
csf-3710	15	4	.	.	PUNCT
csf-3710	16	1	the	the	DET
csf-3710	16	2	prisons	prison	NOUN
csf-3710	16	3	themselves	themselves	PRON
csf-3710	16	4	provide	provide	VERB
csf-3710	16	5	jobs	job	NOUN
csf-3710	16	6	for	for	ADP
csf-3710	16	7	prison	prison	NOUN
csf-3710	16	8	guards	guard	NOUN
csf-3710	16	9	however	however	ADV
csf-3710	16	10	the	the	DET
csf-3710	16	11	entire	entire	ADJ
csf-3710	16	12	industry	industry	NOUN
csf-3710	16	13	provides	provide	VERB
csf-3710	16	14	jobs	job	NOUN
csf-3710	16	15	in	in	ADP
csf-3710	16	16	construction	construction	NOUN
csf-3710	16	17	,	,	PUNCT
csf-3710	16	18	uniforms	uniform	NOUN
csf-3710	16	19	,	,	PUNCT
csf-3710	16	20	security	security	NOUN
csf-3710	16	21	,	,	PUNCT
csf-3710	16	22	and	and	CCONJ
csf-3710	16	23	other	other	ADJ
csf-3710	16	24	industries	industry	NOUN
csf-3710	16	25	.	.	PUNCT
csf-3710	17	1	the	the	DET
csf-3710	17	2	prison	prison	NOUN
csf-3710	17	3	industrial	industrial	PROPN
csf-3710	17	4	complex	complex	NOUN
csf-3710	17	5	also	also	ADV
csf-3710	17	6	has	have	VERB
csf-3710	17	7	a	a	DET
csf-3710	17	8	very	very	ADV
csf-3710	17	9	powerful	powerful	ADJ
csf-3710	17	10	lobby	lobby	NOUN
csf-3710	17	11	machine	machine	NOUN
csf-3710	17	12	in	in	ADP
csf-3710	17	13	washington	washington	PROPN
csf-3710	17	14	d.c	d.c	PROPN
csf-3710	17	15	that	that	SCONJ
csf-3710	17	16	requests	request	VERB
csf-3710	17	17	funding	funding	NOUN
csf-3710	17	18	from	from	ADP
csf-3710	17	19	the	the	DET
csf-3710	17	20	federal	federal	ADJ
csf-3710	17	21	government	government	NOUN
csf-3710	17	22	which	which	PRON
csf-3710	17	23	ensures	ensure	VERB
csf-3710	17	24	its	its	PRON
csf-3710	17	25	continued	continue	VERB
csf-3710	17	26	growth	growth	NOUN
csf-3710	17	27	and	and	CCONJ
csf-3710	17	28	survival	survival	NOUN
csf-3710	17	29	.	.	PUNCT
csf-3710	18	1	with	with	ADP
csf-3710	18	2	the	the	DET
csf-3710	18	3	recent	recent	ADJ
csf-3710	18	4	media	medium	NOUN
csf-3710	18	5	coverage	coverage	NOUN
csf-3710	18	6	on	on	ADP
csf-3710	18	7	the	the	DET
csf-3710	18	8	overcrowding	overcrowding	NOUN
csf-3710	18	9	of	of	ADP
csf-3710	18	10	prisons	prison	NOUN
csf-3710	18	11	and	and	CCONJ
csf-3710	18	12	prison	prison	NOUN
csf-3710	18	13	riots	riot	NOUN
csf-3710	18	14	,	,	PUNCT
csf-3710	18	15	the	the	DET
csf-3710	18	16	question	question	NOUN
csf-3710	18	17	arises	arise	VERB
csf-3710	18	18	:	:	PUNCT
csf-3710	18	19	is	be	AUX
csf-3710	18	20	there	there	PRON
csf-3710	18	21	a	a	DET
csf-3710	18	22	relationship	relationship	NOUN
csf-3710	18	23	between	between	ADP
csf-3710	18	24	prison	prison	NOUN
csf-3710	18	25	size	size	NOUN
csf-3710	18	26	and	and	CCONJ
csf-3710	18	27	rate	rate	NOUN
csf-3710	18	28	of	of	ADP
csf-3710	18	29	inmate	inmate	NOUN
csf-3710	18	30	rule	rule	NOUN
csf-3710	18	31	violation	violation	NOUN
csf-3710	18	32	?	?	PUNCT
csf-3710	19	1	the	the	DET
csf-3710	19	2	purpose	purpose	NOUN
csf-3710	19	3	of	of	ADP
csf-3710	19	4	this	this	DET
csf-3710	19	5	paper	paper	NOUN
csf-3710	19	6	is	be	AUX
csf-3710	19	7	to	to	PART
csf-3710	19	8	find	find	VERB
csf-3710	19	9	out	out	ADP
csf-3710	19	10	if	if	SCONJ
csf-3710	19	11	the	the	DET
csf-3710	19	12	size	size	NOUN
csf-3710	19	13	of	of	ADP
csf-3710	19	14	the	the	DET
csf-3710	19	15	prison	prison	NOUN
csf-3710	19	16	(	(	PUNCT
csf-3710	19	17	based	base	VERB
csf-3710	19	18	on	on	ADP
csf-3710	19	19	number	number	NOUN
csf-3710	19	20	of	of	ADP
csf-3710	19	21	prisoners	prisoner	NOUN
csf-3710	19	22	)	)	PUNCT
csf-3710	19	23	california	california	PROPN
csf-3710	19	24	sociology	sociology	NOUN
csf-3710	19	25	journal	journal	NOUN
csf-3710	19	26	,	,	PUNCT
csf-3710	19	27	2008	2008	NUM
csf-3710	19	28	,	,	PUNCT
csf-3710	19	29	vol	vol	NOUN
csf-3710	19	30	.	.	PROPN
csf-3710	19	31	1	1	NUM
csf-3710	19	32	(	(	PUNCT
csf-3710	19	33	november	november	PROPN
csf-3710	19	34	:	:	PUNCT
csf-3710	19	35	22	22	NUM
csf-3710	19	36	-	-	SYM
csf-3710	19	37	26	26	NUM
csf-3710	19	38	)	)	PUNCT
csf-3710	19	39	inmate	inmate	NOUN
csf-3710	19	40	rule	rule	NOUN
csf-3710	19	41	violations	violation	NOUN
csf-3710	19	42	by	by	ADP
csf-3710	19	43	alex	alex	PROPN
csf-3710	19	44	martinez	martinez	PROPN
csf-3710	19	45	23	23	NUM
csf-3710	19	46	affects	affect	VERB
csf-3710	19	47	the	the	DET
csf-3710	19	48	rate	rate	NOUN
csf-3710	19	49	of	of	ADP
csf-3710	19	50	inmate	inmate	NOUN
csf-3710	19	51	rule	rule	NOUN
csf-3710	19	52	violations	violation	NOUN
csf-3710	19	53	inside	inside	ADP
csf-3710	19	54	prisons	prison	NOUN
csf-3710	19	55	.	.	PUNCT
csf-3710	20	1	this	this	DET
csf-3710	20	2	topic	topic	NOUN
csf-3710	20	3	is	be	AUX
csf-3710	20	4	important	important	ADJ
csf-3710	20	5	because	because	SCONJ
csf-3710	20	6	if	if	SCONJ
csf-3710	20	7	research	research	NOUN
csf-3710	20	8	indicates	indicate	VERB
csf-3710	20	9	that	that	SCONJ
csf-3710	20	10	prisoners	prisoner	NOUN
csf-3710	20	11	at	at	ADP
csf-3710	20	12	larger	large	ADJ
csf-3710	20	13	prisons	prison	NOUN
csf-3710	20	14	violate	violate	VERB
csf-3710	20	15	rules	rule	NOUN
csf-3710	20	16	at	at	ADP
csf-3710	20	17	a	a	DET
csf-3710	20	18	higher	high	ADJ
csf-3710	20	19	rate	rate	NOUN
csf-3710	20	20	could	could	AUX
csf-3710	20	21	eventually	eventually	ADV
csf-3710	20	22	lead	lead	VERB
csf-3710	20	23	to	to	ADP
csf-3710	20	24	policy	policy	NOUN
csf-3710	20	25	change	change	NOUN
csf-3710	20	26	.	.	PUNCT
csf-3710	21	1	if	if	SCONJ
csf-3710	21	2	findings	finding	NOUN
csf-3710	21	3	can	can	AUX
csf-3710	21	4	exhibit	exhibit	VERB
csf-3710	21	5	that	that	DET
csf-3710	21	6	prison	prison	NOUN
csf-3710	21	7	size	size	NOUN
csf-3710	21	8	is	be	AUX
csf-3710	21	9	correlated	correlate	VERB
csf-3710	21	10	or	or	CCONJ
csf-3710	21	11	has	have	VERB
csf-3710	21	12	a	a	DET
csf-3710	21	13	causal	causal	ADJ
csf-3710	21	14	relationship	relationship	NOUN
csf-3710	21	15	between	between	ADP
csf-3710	21	16	prison	prison	NOUN
csf-3710	21	17	size	size	NOUN
csf-3710	21	18	and	and	CCONJ
csf-3710	21	19	the	the	DET
csf-3710	21	20	rate	rate	NOUN
csf-3710	21	21	of	of	ADP
csf-3710	21	22	inmate	inmate	NOUN
csf-3710	21	23	rule	rule	NOUN
csf-3710	21	24	violation	violation	NOUN
csf-3710	21	25	,	,	PUNCT
csf-3710	21	26	it	it	PRON
csf-3710	21	27	could	could	AUX
csf-3710	21	28	lead	lead	VERB
csf-3710	21	29	to	to	ADP
csf-3710	21	30	a	a	DET
csf-3710	21	31	change	change	NOUN
csf-3710	21	32	in	in	ADP
csf-3710	21	33	how	how	SCONJ
csf-3710	21	34	prisons	prison	NOUN
csf-3710	21	35	are	be	AUX
csf-3710	21	36	built	build	VERB
csf-3710	21	37	and	and	CCONJ
csf-3710	21	38	how	how	SCONJ
csf-3710	21	39	they	they	PRON
csf-3710	21	40	are	be	AUX
csf-3710	21	41	occupied	occupy	VERB
csf-3710	21	42	.	.	PUNCT
csf-3710	22	1	research	research	NOUN
csf-3710	22	2	hypothesis	hypothesis	NOUN
csf-3710	22	3	based	base	VERB
csf-3710	22	4	on	on	ADP
csf-3710	22	5	the	the	DET
csf-3710	22	6	inmate	inmate	NOUN
csf-3710	22	7	data	datum	NOUN
csf-3710	22	8	set	set	VERB
csf-3710	22	9	the	the	DET
csf-3710	22	10	following	follow	VERB
csf-3710	22	11	hypothesis	hypothesis	NOUN
csf-3710	22	12	can	can	AUX
csf-3710	22	13	be	be	AUX
csf-3710	22	14	formed	form	VERB
csf-3710	22	15	:	:	PUNCT
csf-3710	22	16	prisoners	prisoner	NOUN
csf-3710	22	17	in	in	ADP
csf-3710	22	18	medium	medium	ADJ
csf-3710	22	19	sized	sized	ADJ
csf-3710	22	20	prisons	prison	NOUN
csf-3710	22	21	(	(	PUNCT
csf-3710	22	22	those	those	PRON
csf-3710	22	23	having	have	VERB
csf-3710	22	24	1000	1000	NUM
csf-3710	22	25	to	to	ADP
csf-3710	22	26	1999	1999	NUM
csf-3710	22	27	prisoners	prisoner	NOUN
csf-3710	22	28	)	)	PUNCT
csf-3710	22	29	receive	receive	VERB
csf-3710	22	30	a	a	DET
csf-3710	22	31	greater	great	ADJ
csf-3710	22	32	number	number	NOUN
csf-3710	22	33	of	of	ADP
csf-3710	22	34	class	class	NOUN
csf-3710	22	35	iii	iii	NUM
csf-3710	22	36	tickets	ticket	NOUN
csf-3710	22	37	,	,	PUNCT
csf-3710	22	38	than	than	ADP
csf-3710	22	39	those	those	PRON
csf-3710	22	40	inside	inside	ADP
csf-3710	22	41	smaller	small	ADJ
csf-3710	22	42	prisons	prison	NOUN
csf-3710	22	43	(	(	PUNCT
csf-3710	22	44	those	those	PRON
csf-3710	22	45	having	have	VERB
csf-3710	22	46	one	one	NUM
csf-3710	22	47	thousand	thousand	NUM
csf-3710	22	48	or	or	CCONJ
csf-3710	22	49	less	less	ADJ
csf-3710	22	50	)	)	PUNCT
csf-3710	22	51	.	.	PUNCT
csf-3710	23	1	data	datum	NOUN
csf-3710	23	2	and	and	CCONJ
csf-3710	23	3	variables	variable	NOUN
csf-3710	23	4	this	this	DET
csf-3710	23	5	paper	paper	NOUN
csf-3710	23	6	will	will	AUX
csf-3710	23	7	make	make	VERB
csf-3710	23	8	use	use	NOUN
csf-3710	23	9	of	of	ADP
csf-3710	23	10	the	the	DET
csf-3710	23	11	“	"	PUNCT
csf-3710	23	12	inmates	inmate	NOUN
csf-3710	23	13	dataset	dataset	NOUN
csf-3710	23	14	”	"	PUNCT
csf-3710	23	15	that	that	PRON
csf-3710	23	16	was	be	AUX
csf-3710	23	17	collected	collect	VERB
csf-3710	23	18	by	by	ADP
csf-3710	23	19	the	the	DET
csf-3710	23	20	ohio	ohio	PROPN
csf-3710	23	21	department	department	PROPN
csf-3710	23	22	of	of	ADP
csf-3710	23	23	rehabilitation	rehabilitation	NOUN
csf-3710	23	24	.	.	PUNCT
csf-3710	24	1	the	the	DET
csf-3710	24	2	dataset	dataset	NOUN
csf-3710	24	3	consists	consist	VERB
csf-3710	24	4	of	of	ADP
csf-3710	24	5	information	information	NOUN
csf-3710	24	6	on	on	ADP
csf-3710	24	7	1,485	1,485	NUM
csf-3710	24	8	male	male	ADJ
csf-3710	24	9	inmates	inmate	NOUN
csf-3710	24	10	admitted	admit	VERB
csf-3710	24	11	to	to	ADP
csf-3710	24	12	the	the	DET
csf-3710	24	13	ohio	ohio	PROPN
csf-3710	24	14	department	department	PROPN
csf-3710	24	15	of	of	ADP
csf-3710	24	16	rehabilitation	rehabilitation	NOUN
csf-3710	24	17	and	and	CCONJ
csf-3710	24	18	correction	correction	NOUN
csf-3710	24	19	during	during	ADP
csf-3710	24	20	september	september	PROPN
csf-3710	24	21	and	and	CCONJ
csf-3710	24	22	october	october	PROPN
csf-3710	24	23	1985	1985	NUM
csf-3710	24	24	.	.	PUNCT
csf-3710	25	1	the	the	DET
csf-3710	25	2	“	"	PUNCT
csf-3710	25	3	variables	variable	NOUN
csf-3710	25	4	reflect	reflect	VERB
csf-3710	25	5	demographic	demographic	ADJ
csf-3710	25	6	and	and	CCONJ
csf-3710	25	7	criminal	criminal	ADJ
csf-3710	25	8	history	history	NOUN
csf-3710	25	9	information	information	NOUN
csf-3710	25	10	for	for	ADP
csf-3710	25	11	each	each	DET
csf-3710	25	12	inmate	inmate	NOUN
csf-3710	25	13	as	as	ADV
csf-3710	25	14	well	well	ADV
csf-3710	25	15	as	as	ADP
csf-3710	25	16	individual	individual	ADJ
csf-3710	25	17	lifestyle	lifestyle	NOUN
csf-3710	25	18	data	datum	NOUN
csf-3710	25	19	and	and	CCONJ
csf-3710	25	20	correctionalinstitution	correctionalinstitution	NOUN
csf-3710	25	21	information	information	NOUN
csf-3710	25	22	regarding	regard	VERB
csf-3710	25	23	rule	rule	NOUN
csf-3710	25	24	infractions	infraction	NOUN
csf-3710	25	25	during	during	ADP
csf-3710	25	26	incarceration	incarceration	NOUN
csf-3710	25	27	”	"	PUNCT
csf-3710	25	28	(	(	PUNCT
csf-3710	25	29	demaris	demaris	NOUN
csf-3710	25	30	,	,	PUNCT
csf-3710	25	31	2004:16	2004:16	NUM
csf-3710	25	32	)	)	PUNCT
csf-3710	25	33	.	.	PUNCT
csf-3710	26	1	our	our	PRON
csf-3710	26	2	dependent	dependent	ADJ
csf-3710	26	3	variable	variable	NOUN
csf-3710	26	4	in	in	ADP
csf-3710	26	5	this	this	DET
csf-3710	26	6	analysis	analysis	NOUN
csf-3710	26	7	is	be	AUX
csf-3710	26	8	the	the	DET
csf-3710	26	9	number	number	NOUN
csf-3710	26	10	of	of	ADP
csf-3710	26	11	class	class	NOUN
csf-3710	26	12	three	three	NUM
csf-3710	26	13	tickets	ticket	NOUN
csf-3710	26	14	that	that	PRON
csf-3710	26	15	prisoners	prisoner	NOUN
csf-3710	26	16	receive	receive	VERB
csf-3710	26	17	.	.	PUNCT
csf-3710	27	1	num3tix	num3tix	NOUN
csf-3710	27	2	,	,	PUNCT
csf-3710	27	3	number	number	NOUN
csf-3710	27	4	of	of	ADP
csf-3710	27	5	class	class	NOUN
csf-3710	27	6	three	three	NUM
csf-3710	27	7	tickets	ticket	NOUN
csf-3710	27	8	,	,	PUNCT
csf-3710	27	9	is	be	AUX
csf-3710	27	10	a	a	DET
csf-3710	27	11	measure	measure	NOUN
csf-3710	27	12	of	of	ADP
csf-3710	27	13	inmate	inmate	NOUN
csf-3710	27	14	rule	rule	NOUN
csf-3710	27	15	-	-	PUNCT
csf-3710	27	16	violation	violation	NOUN
csf-3710	27	17	behavior	behavior	NOUN
csf-3710	27	18	while	while	SCONJ
csf-3710	27	19	incarcerated	incarcerate	VERB
csf-3710	27	20	.	.	PUNCT
csf-3710	28	1	the	the	DET
csf-3710	28	2	num3tix	num3tix	ADJ
csf-3710	28	3	variable	variable	NOUN
csf-3710	28	4	has	have	VERB
csf-3710	28	5	a	a	DET
csf-3710	28	6	range	range	NOUN
csf-3710	28	7	of	of	ADP
csf-3710	28	8	0	0	NUM
csf-3710	28	9	to	to	PART
csf-3710	28	10	28	28	NUM
csf-3710	28	11	.	.	PUNCT
csf-3710	29	1	a	a	DET
csf-3710	29	2	greater	great	ADJ
csf-3710	29	3	number	number	NOUN
csf-3710	29	4	of	of	ADP
csf-3710	29	5	tickets	ticket	NOUN
csf-3710	29	6	reflect	reflect	VERB
csf-3710	29	7	more	more	ADJ
csf-3710	29	8	rule	rule	NOUN
csf-3710	29	9	-	-	PUNCT
csf-3710	29	10	breaking	breaking	NOUN
csf-3710	29	11	.	.	PUNCT
csf-3710	30	1	our	our	PRON
csf-3710	30	2	independent	independent	ADJ
csf-3710	30	3	variables	variable	NOUN
csf-3710	30	4	in	in	ADP
csf-3710	30	5	the	the	DET
csf-3710	30	6	analysis	analysis	NOUN
csf-3710	30	7	are	be	AUX
csf-3710	30	8	prison	prison	NOUN
csf-3710	30	9	size	size	NOUN
csf-3710	30	10	,	,	PUNCT
csf-3710	30	11	either	either	CCONJ
csf-3710	30	12	small	small	ADJ
csf-3710	30	13	or	or	CCONJ
csf-3710	30	14	medium	medium	ADJ
csf-3710	30	15	sized	sized	ADJ
csf-3710	30	16	prisons	prison	NOUN
csf-3710	30	17	.	.	PUNCT
csf-3710	31	1	the	the	DET
csf-3710	31	2	variable	variable	NOUN
csf-3710	31	3	for	for	ADP
csf-3710	31	4	small	small	ADJ
csf-3710	31	5	prisons	prison	NOUN
csf-3710	31	6	(	(	PUNCT
csf-3710	31	7	small	small	ADJ
csf-3710	31	8	)	)	PUNCT
csf-3710	31	9	is	be	AUX
csf-3710	31	10	a	a	DET
csf-3710	31	11	dummy	dummy	ADJ
csf-3710	31	12	variable	variable	NOUN
csf-3710	31	13	in	in	ADP
csf-3710	31	14	which	which	PRON
csf-3710	31	15	1	1	NUM
csf-3710	31	16	=	=	NOUN
csf-3710	31	17	prison	prison	NOUN
csf-3710	31	18	has	have	VERB
csf-3710	31	19	1000	1000	NUM
csf-3710	31	20	inmates	inmate	NOUN
csf-3710	31	21	or	or	CCONJ
csf-3710	31	22	less	less	ADJ
csf-3710	31	23	and	and	CCONJ
csf-3710	31	24	0	0	NUM
csf-3710	31	25	=	=	NOUN
csf-3710	31	26	other	other	ADJ
csf-3710	31	27	.	.	PUNCT
csf-3710	32	1	the	the	DET
csf-3710	32	2	variable	variable	NOUN
csf-3710	32	3	for	for	ADP
csf-3710	32	4	medium	medium	ADJ
csf-3710	32	5	sized	sized	ADJ
csf-3710	32	6	prisons	prison	NOUN
csf-3710	32	7	(	(	PUNCT
csf-3710	32	8	medium	medium	NOUN
csf-3710	32	9	)	)	PUNCT
csf-3710	32	10	is	be	AUX
csf-3710	32	11	also	also	ADV
csf-3710	32	12	a	a	DET
csf-3710	32	13	dummy	dummy	ADJ
csf-3710	32	14	variable	variable	NOUN
csf-3710	32	15	in	in	ADP
csf-3710	32	16	which	which	PRON
csf-3710	32	17	1	1	NUM
csf-3710	32	18	=	=	NOUN
csf-3710	32	19	prison	prison	NOUN
csf-3710	32	20	has	have	VERB
csf-3710	32	21	1000	1000	NUM
csf-3710	32	22	–	–	PUNCT
csf-3710	32	23	1999	1999	NUM
csf-3710	32	24	inmates	inmate	NOUN
csf-3710	32	25	and	and	CCONJ
csf-3710	32	26	o	o	NOUN
csf-3710	32	27	=	=	NOUN
csf-3710	32	28	other	other	ADJ
csf-3710	32	29	.	.	PUNCT
csf-3710	33	1	prison	prison	NOUN
csf-3710	33	2	size	size	NOUN
csf-3710	33	3	and	and	CCONJ
csf-3710	33	4	rate	rate	NOUN
csf-3710	33	5	of	of	ADP
csf-3710	33	6	inmate	inmate	NOUN
csf-3710	33	7	rule	rule	NOUN
csf-3710	33	8	violation	violation	NOUN
csf-3710	33	9	will	will	AUX
csf-3710	33	10	be	be	AUX
csf-3710	33	11	analyzed	analyze	VERB
csf-3710	33	12	and	and	CCONJ
csf-3710	33	13	checked	check	VERB
csf-3710	33	14	for	for	ADP
csf-3710	33	15	a	a	DET
csf-3710	33	16	possible	possible	ADJ
csf-3710	33	17	relationship	relationship	NOUN
csf-3710	33	18	.	.	PUNCT
csf-3710	34	1	a	a	DET
csf-3710	34	2	number	number	NOUN
csf-3710	34	3	of	of	ADP
csf-3710	34	4	variables	variable	NOUN
csf-3710	34	5	will	will	AUX
csf-3710	34	6	be	be	AUX
csf-3710	34	7	controlled	control	VERB
csf-3710	34	8	for	for	ADP
csf-3710	34	9	beginning	begin	VERB
csf-3710	34	10	with	with	ADP
csf-3710	34	11	the	the	DET
csf-3710	34	12	amount	amount	NOUN
csf-3710	34	13	of	of	ADP
csf-3710	34	14	time	time	NOUN
csf-3710	34	15	a	a	DET
csf-3710	34	16	prisoner	prisoner	NOUN
csf-3710	34	17	has	have	AUX
csf-3710	34	18	served	serve	VERB
csf-3710	34	19	in	in	ADP
csf-3710	34	20	jail	jail	NOUN
csf-3710	34	21	.	.	PUNCT
csf-3710	35	1	we	we	PRON
csf-3710	35	2	will	will	AUX
csf-3710	35	3	code	code	VERB
csf-3710	35	4	time	time	NOUN
csf-3710	35	5	served	serve	VERB
csf-3710	35	6	the	the	DET
csf-3710	35	7	following	following	ADJ
csf-3710	35	8	way	way	NOUN
csf-3710	35	9	:	:	PUNCT
csf-3710	35	10	time	time	NOUN
csf-3710	35	11	will	will	AUX
csf-3710	35	12	range	range	VERB
csf-3710	35	13	from	from	ADP
csf-3710	35	14	2.3	2.3	NUM
csf-3710	35	15	to	to	PART
csf-3710	35	16	4.1	4.1	NUM
csf-3710	35	17	months	month	NOUN
csf-3710	35	18	.	.	PUNCT
csf-3710	36	1	ethnicity	ethnicity	NOUN
csf-3710	36	2	will	will	AUX
csf-3710	36	3	also	also	ADV
csf-3710	36	4	be	be	AUX
csf-3710	36	5	controlled	control	VERB
csf-3710	36	6	as	as	ADP
csf-3710	36	7	a	a	DET
csf-3710	36	8	dummy	dummy	ADJ
csf-3710	36	9	variable	variable	NOUN
csf-3710	36	10	in	in	ADP
csf-3710	36	11	which	which	PRON
csf-3710	36	12	1	1	NUM
csf-3710	36	13	=	=	NOUN
csf-3710	36	14	black	black	ADJ
csf-3710	36	15	and	and	CCONJ
csf-3710	36	16	0	0	NUM
csf-3710	36	17	=	=	ADJ
csf-3710	36	18	white	white	ADJ
csf-3710	36	19	.	.	PUNCT
csf-3710	37	1	years	year	NOUN
csf-3710	37	2	of	of	ADP
csf-3710	37	3	formal	formal	ADJ
csf-3710	37	4	schooling	schooling	NOUN
csf-3710	37	5	will	will	AUX
csf-3710	37	6	range	range	VERB
csf-3710	37	7	from	from	ADP
csf-3710	37	8	2	2	NUM
csf-3710	37	9	to	to	ADP
csf-3710	37	10	22	22	NUM
csf-3710	37	11	years	year	NOUN
csf-3710	37	12	.	.	PUNCT
csf-3710	38	1	age	age	NOUN
csf-3710	38	2	at	at	ADP
csf-3710	38	3	first	first	ADJ
csf-3710	38	4	arrest	arrest	NOUN
csf-3710	38	5	will	will	AUX
csf-3710	38	6	range	range	VERB
csf-3710	38	7	from	from	ADP
csf-3710	38	8	6	6	NUM
csf-3710	38	9	to	to	PART
csf-3710	38	10	71	71	NUM
csf-3710	38	11	years	year	NOUN
csf-3710	38	12	of	of	ADP
csf-3710	38	13	age	age	NOUN
csf-3710	38	14	.	.	PUNCT
csf-3710	39	1	centered	center	VERB
csf-3710	39	2	age	age	NOUN
csf-3710	39	3	at	at	ADP
csf-3710	39	4	admission	admission	NOUN
csf-3710	39	5	,	,	PUNCT
csf-3710	39	6	and	and	CCONJ
csf-3710	39	7	the	the	DET
csf-3710	39	8	square	square	NOUN
csf-3710	39	9	of	of	ADP
csf-3710	39	10	centered	center	VERB
csf-3710	39	11	age	age	NOUN
csf-3710	39	12	at	at	ADP
csf-3710	39	13	admission	admission	NOUN
csf-3710	39	14	will	will	AUX
csf-3710	39	15	also	also	ADV
csf-3710	39	16	be	be	AUX
csf-3710	39	17	coded	code	VERB
csf-3710	39	18	.	.	PUNCT
csf-3710	40	1	statistical	statistical	ADJ
csf-3710	40	2	models	model	NOUN
csf-3710	40	3	the	the	DET
csf-3710	40	4	best	good	ADJ
csf-3710	40	5	model	model	NOUN
csf-3710	40	6	of	of	ADP
csf-3710	40	7	analysis	analysis	NOUN
csf-3710	40	8	to	to	ADP
csf-3710	40	9	use	use	NOUN
csf-3710	40	10	is	be	AUX
csf-3710	40	11	the	the	DET
csf-3710	40	12	poisson	poisson	NOUN
csf-3710	40	13	or	or	CCONJ
csf-3710	40	14	negative	negative	ADJ
csf-3710	40	15	binomial	binomial	ADJ
csf-3710	40	16	regression	regression	NOUN
csf-3710	40	17	model	model	NOUN
csf-3710	40	18	which	which	PRON
csf-3710	40	19	makes	make	VERB
csf-3710	40	20	use	use	NOUN
csf-3710	40	21	of	of	ADP
csf-3710	40	22	a	a	DET
csf-3710	40	23	count	count	NOUN
csf-3710	40	24	dependent	dependent	ADJ
csf-3710	40	25	variable	variable	NOUN
csf-3710	40	26	.	.	PUNCT
csf-3710	41	1	if	if	SCONJ
csf-3710	41	2	an	an	DET
csf-3710	41	3	ordinary	ordinary	ADJ
csf-3710	41	4	least	least	ADJ
csf-3710	41	5	squares	square	NOUN
csf-3710	41	6	(	(	PUNCT
csf-3710	41	7	ols	ol	NOUN
csf-3710	41	8	)	)	PUNCT
csf-3710	41	9	model	model	NOUN
csf-3710	41	10	was	be	AUX
csf-3710	41	11	to	to	PART
csf-3710	41	12	be	be	AUX
csf-3710	41	13	used	use	VERB
csf-3710	41	14	,	,	PUNCT
csf-3710	41	15	the	the	DET
csf-3710	41	16	assumption	assumption	NOUN
csf-3710	41	17	of	of	ADP
csf-3710	41	18	homoscedasticity	homoscedasticity	NOUN
csf-3710	41	19	is	be	AUX
csf-3710	41	20	inherently	inherently	ADV
csf-3710	41	21	violated	violate	VERB
csf-3710	41	22	.	.	PUNCT
csf-3710	42	1	also	also	ADV
csf-3710	42	2	,	,	PUNCT
csf-3710	42	3	the	the	DET
csf-3710	42	4	assumption	assumption	NOUN
csf-3710	42	5	of	of	ADP
csf-3710	42	6	zero	zero	NUM
csf-3710	42	7	covariance	covariance	NOUN
csf-3710	42	8	between	between	ADP
csf-3710	42	9	residual	residual	ADJ
csf-3710	42	10	and	and	CCONJ
csf-3710	42	11	covariates	covariate	NOUN
csf-3710	42	12	would	would	AUX
csf-3710	42	13	be	be	AUX
csf-3710	42	14	violated	violate	VERB
csf-3710	42	15	making	make	VERB
csf-3710	42	16	the	the	DET
csf-3710	42	17	ols	ol	NOUN
csf-3710	42	18	estimates	estimate	NOUN
csf-3710	42	19	biased	bias	VERB
csf-3710	42	20	.	.	PUNCT
csf-3710	43	1	because	because	SCONJ
csf-3710	43	2	the	the	DET
csf-3710	43	3	outcome	outcome	NOUN
csf-3710	43	4	would	would	AUX
csf-3710	43	5	provide	provide	VERB
csf-3710	43	6	non	non	ADJ
csf-3710	43	7	-	-	ADJ
csf-3710	43	8	normal	normal	ADJ
csf-3710	43	9	distribution	distribution	NOUN
csf-3710	43	10	of	of	ADP
csf-3710	43	11	california	california	PROPN
csf-3710	43	12	sociology	sociology	NOUN
csf-3710	43	13	journal	journal	NOUN
csf-3710	43	14	,	,	PUNCT
csf-3710	43	15	2008	2008	NUM
csf-3710	43	16	,	,	PUNCT
csf-3710	43	17	vol	vol	NOUN
csf-3710	43	18	.	.	PROPN
csf-3710	43	19	1	1	NUM
csf-3710	43	20	(	(	PUNCT
csf-3710	43	21	november	november	PROPN
csf-3710	43	22	:	:	PUNCT
csf-3710	43	23	22	22	NUM
csf-3710	43	24	-	-	SYM
csf-3710	43	25	26	26	NUM
csf-3710	43	26	)	)	PUNCT
csf-3710	43	27	inmate	inmate	NOUN
csf-3710	43	28	rule	rule	NOUN
csf-3710	43	29	violation	violation	NOUN
csf-3710	43	30	by	by	ADP
csf-3710	43	31	alex	alex	PROPN
csf-3710	43	32	martinez	martinez	PROPN
csf-3710	43	33	24	24	NUM
csf-3710	43	34	table	table	NOUN
csf-3710	43	35	1	1	NUM
csf-3710	43	36	.	.	PUNCT
csf-3710	43	37	ols	ol	NOUN
csf-3710	43	38	regression	regression	VERB
csf-3710	43	39	analysis	analysis	NOUN
csf-3710	43	40	of	of	ADP
csf-3710	43	41	the	the	DET
csf-3710	43	42	number	number	NOUN
csf-3710	43	43	of	of	ADP
csf-3710	43	44	class	class	NOUN
csf-3710	43	45	iii	iii	NUM
csf-3710	43	46	tickets	ticket	NOUN
csf-3710	43	47	variable	variable	ADJ
csf-3710	43	48	coef	coef	PROPN
csf-3710	43	49	.	.	PUNCT
csf-3710	44	1	(	(	PUNCT
csf-3710	44	2	s.e	s.e	PROPN
csf-3710	44	3	.	.	PROPN
csf-3710	44	4	)	)	PUNCT
csf-3710	44	5	variance	variance	NOUN
csf-3710	44	6	inflation	inflation	NOUN
csf-3710	44	7	factor	factor	NOUN
csf-3710	44	8	(	(	PUNCT
csf-3710	44	9	vif	vif	NOUN
csf-3710	44	10	)	)	PUNCT
csf-3710	44	11	intercept	intercept	VERB
csf-3710	44	12	small	small	ADJ
csf-3710	44	13	size	size	NOUN
csf-3710	44	14	prison	prison	NOUN
csf-3710	44	15	medium	medium	NOUN
csf-3710	44	16	size	size	NOUN
csf-3710	44	17	prison	prison	NOUN
csf-3710	44	18	time	time	NOUN
csf-3710	44	19	served	serve	VERB
csf-3710	44	20	ethnicity	ethnicity	NOUN
csf-3710	44	21	education	education	NOUN
csf-3710	44	22	age	age	NOUN
csf-3710	44	23	at	at	ADP
csf-3710	44	24	first	first	ADJ
csf-3710	44	25	arrest	arrest	NOUN
csf-3710	44	26	centered	center	VERB
csf-3710	44	27	age	age	NOUN
csf-3710	44	28	at	at	ADP
csf-3710	44	29	admission	admission	NOUN
csf-3710	44	30	centered	center	VERB
csf-3710	44	31	age	age	NOUN
csf-3710	44	32	at	at	ADP
csf-3710	44	33	admission	admission	NOUN
csf-3710	44	34	squared	square	VERB
csf-3710	44	35	1.10	1.10	NUM
csf-3710	44	36	0.68	0.68	NUM
csf-3710	44	37	-0.01	-0.01	NUM
csf-3710	44	38	0.04	0.04	NUM
csf-3710	44	39	0.27	0.27	NUM
csf-3710	44	40	-0.03	-0.03	NUM
csf-3710	44	41	-0.01	-0.01	NUM
csf-3710	44	42	-0.07	-0.07	NUM
csf-3710	44	43	0.002	0.002	NUM
csf-3710	44	44	(	(	PUNCT
csf-3710	44	45	0.35	0.35	NUM
csf-3710	44	46	)	)	PUNCT
csf-3710	44	47	*	*	PUNCT
csf-3710	45	1	*	*	PUNCT
csf-3710	45	2	(	(	PUNCT
csf-3710	45	3	0.17	0.17	NUM
csf-3710	45	4	)	)	PUNCT
csf-3710	45	5	*	*	PUNCT
csf-3710	46	1	*	*	PUNCT
csf-3710	46	2	(	(	PUNCT
csf-3710	46	3	0.13	0.13	NUM
csf-3710	46	4	)	)	PUNCT
csf-3710	46	5	(	(	PUNCT
csf-3710	46	6	0.02	0.02	NUM
csf-3710	46	7	)	)	PUNCT
csf-3710	46	8	(	(	PUNCT
csf-3710	46	9	0.11	0.11	NUM
csf-3710	46	10	)	)	PUNCT
csf-3710	46	11	*	*	PUNCT
csf-3710	47	1	*	*	PUNCT
csf-3710	47	2	(	(	PUNCT
csf-3710	47	3	0.02	0.02	NUM
csf-3710	47	4	)	)	PUNCT
csf-3710	47	5	(	(	PUNCT
csf-3710	47	6	0.01	0.01	NUM
csf-3710	47	7	)	)	PUNCT
csf-3710	47	8	(	(	PUNCT
csf-3710	47	9	0.01	0.01	NUM
csf-3710	47	10	)	)	PUNCT
csf-3710	47	11	*	*	PUNCT
csf-3710	48	1	*	*	PUNCT
csf-3710	48	2	(	(	PUNCT
csf-3710	48	3	0.001	0.001	NUM
csf-3710	48	4	)	)	PUNCT
csf-3710	48	5	*	*	PUNCT
csf-3710	49	1	*	*	PUNCT
csf-3710	49	2	0.00	0.00	NUM
csf-3710	49	3	1.19	1.19	NUM
csf-3710	49	4	1.31	1.31	NUM
csf-3710	49	5	1.06	1.06	NUM
csf-3710	49	6	1.05	1.05	NUM
csf-3710	49	7	1.08	1.08	NUM
csf-3710	49	8	1.42	1.42	NUM
csf-3710	49	9	2.64	2.64	NUM
csf-3710	49	10	2.33	2.33	NUM
csf-3710	49	11	n	n	DET
csf-3710	49	12	f	f	PROPN
csf-3710	49	13	statistic	statistic	NOUN
csf-3710	49	14	adjusted	adjust	VERB
csf-3710	49	15	r	r	NOUN
csf-3710	49	16	-	-	PUNCT
csf-3710	49	17	squared	square	VERB
csf-3710	49	18	breusch	breusch	ADJ
csf-3710	49	19	-	-	PUNCT
csf-3710	49	20	pagan	pagan	ADJ
csf-3710	49	21	test	test	NOUN
csf-3710	49	22	1,485	1,485	NUM
csf-3710	49	23	18.60	18.60	NUM
csf-3710	49	24	*	*	PUNCT
csf-3710	50	1	*	*	PUNCT
csf-3710	50	2	0.08	0.08	NUM
csf-3710	50	3	42.62	42.62	NUM
csf-3710	50	4	*	*	PUNCT
csf-3710	51	1	*	*	PUNCT
csf-3710	51	2	*	*	PUNCT
csf-3710	51	3	p<0.05	p<0.05	NOUN
csf-3710	51	4	;	;	PUNCT
csf-3710	51	5	*	*	PUNCT
csf-3710	51	6	*	*	PUNCT
csf-3710	51	7	p<0.01	p<0.01	NOUN
csf-3710	51	8	residuals	residual	NOUN
csf-3710	51	9	,	,	PUNCT
csf-3710	51	10	the	the	DET
csf-3710	51	11	f	f	NOUN
csf-3710	51	12	-	-	PUNCT
csf-3710	51	13	test	test	NOUN
csf-3710	51	14	and	and	CCONJ
csf-3710	51	15	t	t	PROPN
csf-3710	51	16	-	-	PUNCT
csf-3710	51	17	test	test	NOUN
csf-3710	51	18	could	could	AUX
csf-3710	51	19	not	not	PART
csf-3710	51	20	be	be	AUX
csf-3710	51	21	used	use	VERB
csf-3710	51	22	.	.	PUNCT
csf-3710	52	1	however	however	ADV
csf-3710	52	2	,	,	PUNCT
csf-3710	52	3	if	if	SCONJ
csf-3710	52	4	robust	robust	ADJ
csf-3710	52	5	conditions	condition	NOUN
csf-3710	52	6	are	be	AUX
csf-3710	52	7	present	present	ADJ
csf-3710	52	8	,	,	PUNCT
csf-3710	52	9	the	the	DET
csf-3710	52	10	ols	ol	NOUN
csf-3710	52	11	model	model	NOUN
csf-3710	52	12	may	may	AUX
csf-3710	52	13	be	be	AUX
csf-3710	52	14	used	use	VERB
csf-3710	52	15	.	.	PUNCT
csf-3710	53	1	robust	robust	ADJ
csf-3710	53	2	conditions	condition	NOUN
csf-3710	53	3	are	be	AUX
csf-3710	53	4	met	meet	VERB
csf-3710	53	5	if	if	SCONJ
csf-3710	53	6	the	the	DET
csf-3710	53	7	count	count	NOUN
csf-3710	53	8	variable	variable	NOUN
csf-3710	53	9	has	have	VERB
csf-3710	53	10	big	big	ADJ
csf-3710	53	11	enough	enough	ADJ
csf-3710	53	12	counts	count	NOUN
csf-3710	53	13	or	or	CCONJ
csf-3710	53	14	heteroscedasticity	heteroscedasticity	NOUN
csf-3710	53	15	of	of	ADP
csf-3710	53	16	error	error	NOUN
csf-3710	53	17	terms	term	NOUN
csf-3710	53	18	does	do	AUX
csf-3710	53	19	not	not	PART
csf-3710	53	20	cause	cause	VERB
csf-3710	53	21	serious	serious	ADJ
csf-3710	53	22	trouble	trouble	NOUN
csf-3710	53	23	and	and	CCONJ
csf-3710	53	24	the	the	DET
csf-3710	53	25	number	number	NOUN
csf-3710	53	26	of	of	ADP
csf-3710	53	27	observations	observation	NOUN
csf-3710	53	28	(	(	PUNCT
csf-3710	53	29	n	n	CCONJ
csf-3710	53	30	)	)	PUNCT
csf-3710	53	31	is	be	AUX
csf-3710	53	32	large	large	ADJ
csf-3710	53	33	.	.	PUNCT
csf-3710	54	1	this	this	DET
csf-3710	54	2	paper	paper	NOUN
csf-3710	54	3	will	will	AUX
csf-3710	54	4	make	make	VERB
csf-3710	54	5	use	use	NOUN
csf-3710	54	6	of	of	ADP
csf-3710	54	7	ols	ol	NOUN
csf-3710	54	8	model	model	NOUN
csf-3710	54	9	for	for	ADP
csf-3710	54	10	its	its	PRON
csf-3710	54	11	analysis	analysis	NOUN
csf-3710	54	12	.	.	PUNCT
csf-3710	55	1	findings	finding	NOUN
csf-3710	55	2	table	table	NOUN
csf-3710	55	3	1	1	NUM
csf-3710	55	4	reports	report	VERB
csf-3710	55	5	the	the	DET
csf-3710	55	6	ols	ol	NOUN
csf-3710	55	7	regression	regression	NOUN
csf-3710	55	8	coefficients	coefficient	NOUN
csf-3710	55	9	for	for	ADP
csf-3710	55	10	each	each	PRON
csf-3710	55	11	of	of	ADP
csf-3710	55	12	the	the	DET
csf-3710	55	13	independent	independent	ADJ
csf-3710	55	14	variables	variable	NOUN
csf-3710	55	15	.	.	PUNCT
csf-3710	56	1	the	the	DET
csf-3710	56	2	f	f	NOUN
csf-3710	56	3	-	-	PUNCT
csf-3710	56	4	test	test	NOUN
csf-3710	56	5	evaluates	evaluate	VERB
csf-3710	56	6	the	the	DET
csf-3710	56	7	overall	overall	ADJ
csf-3710	56	8	fit	fit	NOUN
csf-3710	56	9	of	of	ADP
csf-3710	56	10	the	the	DET
csf-3710	56	11	model	model	NOUN
csf-3710	56	12	on	on	ADP
csf-3710	56	13	the	the	DET
csf-3710	56	14	data	datum	NOUN
csf-3710	56	15	.	.	PUNCT
csf-3710	57	1	the	the	DET
csf-3710	57	2	f	f	NOUN
csf-3710	57	3	-	-	PUNCT
csf-3710	57	4	test	test	NOUN
csf-3710	57	5	is	be	AUX
csf-3710	57	6	statistically	statistically	ADV
csf-3710	57	7	significant	significant	ADJ
csf-3710	57	8	at	at	ADV
csf-3710	57	9	least	least	ADJ
csf-3710	57	10	at	at	ADP
csf-3710	57	11	the	the	DET
csf-3710	57	12	0.01	0.01	NUM
csf-3710	57	13	level	level	NOUN
csf-3710	57	14	showing	show	VERB
csf-3710	57	15	that	that	SCONJ
csf-3710	57	16	at	at	ADV
csf-3710	57	17	least	least	ADV
csf-3710	57	18	one	one	NUM
csf-3710	57	19	ofthe	ofthe	NOUN
csf-3710	57	20	independent	independent	ADJ
csf-3710	57	21	variables	variable	NOUN
csf-3710	57	22	has	have	VERB
csf-3710	57	23	statistical	statistical	ADJ
csf-3710	57	24	significant	significant	ADJ
csf-3710	57	25	effect	effect	NOUN
csf-3710	57	26	on	on	ADP
csf-3710	57	27	the	the	DET
csf-3710	57	28	number	number	NOUN
csf-3710	57	29	of	of	ADP
csf-3710	57	30	class	class	NOUN
csf-3710	57	31	three	three	NUM
csf-3710	57	32	tickets	ticket	NOUN
csf-3710	57	33	that	that	PRON
csf-3710	57	34	the	the	DET
csf-3710	57	35	inmates	inmate	NOUN
csf-3710	57	36	receive	receive	VERB
csf-3710	57	37	.	.	PUNCT
csf-3710	58	1	furthermore	furthermore	ADV
csf-3710	58	2	,	,	PUNCT
csf-3710	58	3	the	the	DET
csf-3710	58	4	adjusted	adjusted	ADJ
csf-3710	58	5	r	r	NOUN
csf-3710	58	6	-	-	PUNCT
csf-3710	58	7	squared	square	VERB
csf-3710	58	8	is	be	AUX
csf-3710	58	9	0.08	0.08	NUM
csf-3710	58	10	,	,	PUNCT
csf-3710	58	11	indicating	indicate	VERB
csf-3710	58	12	that	that	SCONJ
csf-3710	58	13	a	a	DET
csf-3710	58	14	total	total	NOUN
csf-3710	58	15	of	of	ADP
csf-3710	58	16	8	8	NUM
csf-3710	58	17	percent	percent	NOUN
csf-3710	58	18	of	of	ADP
csf-3710	58	19	the	the	DET
csf-3710	58	20	variance	variance	NOUN
csf-3710	58	21	in	in	ADP
csf-3710	58	22	the	the	DET
csf-3710	58	23	dependent	dependent	ADJ
csf-3710	58	24	variable	variable	NOUN
csf-3710	58	25	is	be	AUX
csf-3710	58	26	successfully	successfully	ADV
csf-3710	58	27	explained	explain	VERB
csf-3710	58	28	by	by	ADP
csf-3710	58	29	the	the	DET
csf-3710	58	30	model	model	NOUN
csf-3710	58	31	.	.	PUNCT
csf-3710	59	1	table	table	NOUN
csf-3710	59	2	1	1	NUM
csf-3710	59	3	shows	show	VERB
csf-3710	59	4	the	the	DET
csf-3710	59	5	regression	regression	NOUN
csf-3710	59	6	coefficient	coefficient	NOUN
csf-3710	59	7	for	for	ADP
csf-3710	59	8	small	small	ADJ
csf-3710	59	9	sized	sized	ADJ
csf-3710	59	10	prisons	prison	NOUN
csf-3710	59	11	is	be	AUX
csf-3710	59	12	positive	positive	ADJ
csf-3710	59	13	and	and	CCONJ
csf-3710	59	14	statistically	statistically	ADV
csf-3710	59	15	significant	significant	ADJ
csf-3710	59	16	at	at	ADV
csf-3710	59	17	least	least	ADJ
csf-3710	59	18	at	at	ADP
csf-3710	59	19	the	the	DET
csf-3710	59	20	0.01	0.01	NUM
csf-3710	59	21	level	level	NOUN
csf-3710	59	22	.	.	PUNCT
csf-3710	60	1	for	for	ADP
csf-3710	60	2	small	small	ADJ
csf-3710	60	3	sized	sized	ADJ
csf-3710	60	4	prisons	prison	NOUN
csf-3710	60	5	,	,	PUNCT
csf-3710	60	6	the	the	DET
csf-3710	60	7	number	number	NOUN
csf-3710	60	8	of	of	ADP
csf-3710	60	9	class	class	NOUN
csf-3710	60	10	three	three	NUM
csf-3710	60	11	tickets	ticket	NOUN
csf-3710	60	12	is	be	AUX
csf-3710	60	13	larger	large	ADJ
csf-3710	60	14	by	by	ADP
csf-3710	60	15	0.68	0.68	NUM
csf-3710	60	16	,	,	PUNCT
csf-3710	60	17	in	in	ADP
csf-3710	60	18	comparison	comparison	NOUN
csf-3710	60	19	to	to	ADP
csf-3710	60	20	prisons	prison	NOUN
csf-3710	60	21	with	with	ADP
csf-3710	60	22	2000	2000	NUM
csf-3710	60	23	or	or	CCONJ
csf-3710	60	24	more	more	ADJ
csf-3710	60	25	inmates	inmate	NOUN
csf-3710	60	26	,	,	PUNCT
csf-3710	60	27	net	net	NOUN
csf-3710	60	28	of	of	ADP
csf-3710	60	29	all	all	DET
csf-3710	60	30	other	other	ADJ
csf-3710	60	31	independent	independent	ADJ
csf-3710	60	32	variables	variable	NOUN
csf-3710	60	33	in	in	ADP
csf-3710	60	34	the	the	DET
csf-3710	60	35	model	model	NOUN
csf-3710	60	36	.	.	PUNCT
csf-3710	61	1	because	because	SCONJ
csf-3710	61	2	both	both	DET
csf-3710	61	3	dummy	dummy	ADJ
csf-3710	61	4	variables	variable	NOUN
csf-3710	61	5	were	be	AUX
csf-3710	61	6	used	use	VERB
csf-3710	61	7	in	in	ADP
csf-3710	61	8	the	the	DET
csf-3710	61	9	ols	ol	NOUN
csf-3710	61	10	model	model	NOUN
csf-3710	61	11	,	,	PUNCT
csf-3710	61	12	the	the	DET
csf-3710	61	13	contrast	contrast	NOUN
csf-3710	61	14	group	group	NOUN
csf-3710	61	15	is	be	AUX
csf-3710	61	16	prisons	prison	NOUN
csf-3710	61	17	with	with	ADP
csf-3710	61	18	2000	2000	NUM
csf-3710	61	19	or	or	CCONJ
csf-3710	61	20	more	more	ADJ
csf-3710	61	21	inmates	inmate	NOUN
csf-3710	61	22	.	.	PUNCT
csf-3710	62	1	the	the	DET
csf-3710	62	2	regression	regression	NOUN
csf-3710	62	3	coefficient	coefficient	NOUN
csf-3710	62	4	for	for	ADP
csf-3710	62	5	medium	medium	ADJ
csf-3710	62	6	sized	sized	ADJ
csf-3710	62	7	prisons	prison	NOUN
csf-3710	62	8	is	be	AUX
csf-3710	62	9	negative	negative	ADJ
csf-3710	62	10	and	and	CCONJ
csf-3710	62	11	statistically	statistically	ADV
csf-3710	62	12	insignificant	insignificant	ADJ
csf-3710	62	13	at	at	ADP
csf-3710	62	14	the	the	DET
csf-3710	62	15	0.05	0.05	NUM
csf-3710	62	16	level	level	NOUN
csf-3710	62	17	.	.	PUNCT
csf-3710	63	1	in	in	ADP
csf-3710	63	2	other	other	ADJ
csf-3710	63	3	words	word	NOUN
csf-3710	63	4	,	,	PUNCT
csf-3710	63	5	medium	medium	ADJ
csf-3710	63	6	sized	sized	ADJ
csf-3710	63	7	prisons	prison	NOUN
csf-3710	63	8	have	have	VERB
csf-3710	63	9	no	no	DET
csf-3710	63	10	significant	significant	ADJ
csf-3710	63	11	effect	effect	NOUN
csf-3710	63	12	on	on	ADP
csf-3710	63	13	the	the	DET
csf-3710	63	14	number	number	NOUN
csf-3710	63	15	of	of	ADP
csf-3710	63	16	class	class	NOUN
csf-3710	63	17	three	three	NUM
csf-3710	63	18	tickets	ticket	NOUN
csf-3710	63	19	that	that	PRON
csf-3710	63	20	an	an	DET
csf-3710	63	21	inmate	inmate	NOUN
csf-3710	63	22	receives	receive	VERB
csf-3710	63	23	.	.	PUNCT
csf-3710	64	1	california	california	PROPN
csf-3710	64	2	sociology	sociology	PROPN
csf-3710	64	3	journal	journal	PROPN
csf-3710	64	4	,	,	PUNCT
csf-3710	64	5	2008	2008	NUM
csf-3710	64	6	,	,	PUNCT
csf-3710	64	7	vol	vol	NOUN
csf-3710	64	8	.	.	PROPN
csf-3710	64	9	1	1	NUM
csf-3710	64	10	(	(	PUNCT
csf-3710	64	11	november	november	PROPN
csf-3710	64	12	:	:	PUNCT
csf-3710	64	13	22	22	NUM
csf-3710	64	14	-	-	SYM
csf-3710	64	15	26	26	NUM
csf-3710	64	16	)	)	PUNCT
csf-3710	64	17	inmate	inmate	NOUN
csf-3710	64	18	rule	rule	NOUN
csf-3710	64	19	violation	violation	NOUN
csf-3710	64	20	by	by	ADP
csf-3710	64	21	alex	alex	PROPN
csf-3710	64	22	martinez	martinez	PROPN
csf-3710	64	23	25	25	NUM
csf-3710	64	24	the	the	DET
csf-3710	64	25	time	time	NOUN
csf-3710	64	26	served	serve	VERB
csf-3710	64	27	variable	variable	NOUN
csf-3710	64	28	has	have	VERB
csf-3710	64	29	a	a	DET
csf-3710	64	30	positive	positive	ADJ
csf-3710	64	31	regression	regression	NOUN
csf-3710	64	32	coefficient	coefficient	NOUN
csf-3710	64	33	which	which	PRON
csf-3710	64	34	is	be	AUX
csf-3710	64	35	statistically	statistically	ADV
csf-3710	64	36	insignificant	insignificant	ADJ
csf-3710	64	37	at	at	ADP
csf-3710	64	38	the	the	DET
csf-3710	64	39	0.05	0.05	NUM
csf-3710	64	40	level	level	NOUN
csf-3710	64	41	.	.	PUNCT
csf-3710	65	1	the	the	DET
csf-3710	65	2	amount	amount	NOUN
csf-3710	65	3	of	of	ADP
csf-3710	65	4	time	time	NOUN
csf-3710	65	5	served	serve	VERB
csf-3710	65	6	has	have	VERB
csf-3710	65	7	no	no	DET
csf-3710	65	8	significant	significant	ADJ
csf-3710	65	9	effect	effect	NOUN
csf-3710	65	10	on	on	ADP
csf-3710	65	11	the	the	DET
csf-3710	65	12	number	number	NOUN
csf-3710	65	13	of	of	ADP
csf-3710	65	14	class	class	NOUN
csf-3710	65	15	three	three	NUM
csf-3710	65	16	tickets	ticket	NOUN
csf-3710	65	17	that	that	PRON
csf-3710	65	18	an	an	DET
csf-3710	65	19	inmate	inmate	NOUN
csf-3710	65	20	receives	receive	VERB
csf-3710	65	21	.	.	PUNCT
csf-3710	66	1	table	table	NOUN
csf-3710	66	2	1	1	NUM
csf-3710	66	3	shows	show	VERB
csf-3710	66	4	that	that	SCONJ
csf-3710	66	5	ethnicity	ethnicity	NOUN
csf-3710	66	6	has	have	VERB
csf-3710	66	7	a	a	DET
csf-3710	66	8	positive	positive	ADJ
csf-3710	66	9	regression	regression	NOUN
csf-3710	66	10	coefficient	coefficient	NOUN
csf-3710	66	11	which	which	PRON
csf-3710	66	12	is	be	AUX
csf-3710	66	13	statistically	statistically	ADV
csf-3710	66	14	significant	significant	ADJ
csf-3710	66	15	at	at	ADV
csf-3710	66	16	least	least	ADJ
csf-3710	66	17	at	at	ADP
csf-3710	66	18	the	the	DET
csf-3710	66	19	0.01	0.01	NUM
csf-3710	66	20	level	level	NOUN
csf-3710	66	21	.	.	PUNCT
csf-3710	67	1	in	in	ADP
csf-3710	67	2	other	other	ADJ
csf-3710	67	3	words	word	NOUN
csf-3710	67	4	,	,	PUNCT
csf-3710	67	5	for	for	ADP
csf-3710	67	6	blacks	black	NOUN
csf-3710	67	7	the	the	DET
csf-3710	67	8	number	number	NOUN
csf-3710	67	9	of	of	ADP
csf-3710	67	10	class	class	NOUN
csf-3710	67	11	three	three	NUM
csf-3710	67	12	tickets	ticket	NOUN
csf-3710	67	13	is	be	AUX
csf-3710	67	14	larger	large	ADJ
csf-3710	67	15	by	by	ADP
csf-3710	67	16	0.27	0.27	NUM
csf-3710	67	17	,	,	PUNCT
csf-3710	67	18	in	in	ADP
csf-3710	67	19	comparison	comparison	NOUN
csf-3710	67	20	to	to	ADP
csf-3710	67	21	whites	white	NOUN
csf-3710	67	22	,	,	PUNCT
csf-3710	67	23	net	net	NOUN
csf-3710	67	24	of	of	ADP
csf-3710	67	25	all	all	DET
csf-3710	67	26	other	other	ADJ
csf-3710	67	27	independent	independent	ADJ
csf-3710	67	28	variables	variable	NOUN
csf-3710	67	29	in	in	ADP
csf-3710	67	30	the	the	DET
csf-3710	67	31	model	model	NOUN
csf-3710	67	32	.	.	PUNCT
csf-3710	68	1	education	education	NOUN
csf-3710	68	2	has	have	VERB
csf-3710	68	3	a	a	DET
csf-3710	68	4	negative	negative	ADJ
csf-3710	68	5	regression	regression	NOUN
csf-3710	68	6	coefficient	coefficient	NOUN
csf-3710	68	7	and	and	CCONJ
csf-3710	68	8	it	it	PRON
csf-3710	68	9	is	be	AUX
csf-3710	68	10	statistically	statistically	ADV
csf-3710	68	11	insignificant	insignificant	ADJ
csf-3710	68	12	at	at	ADP
csf-3710	68	13	the	the	DET
csf-3710	68	14	0.05	0.05	NUM
csf-3710	68	15	level	level	NOUN
csf-3710	68	16	.	.	PUNCT
csf-3710	69	1	in	in	ADP
csf-3710	69	2	other	other	ADJ
csf-3710	69	3	words	word	NOUN
csf-3710	69	4	,	,	PUNCT
csf-3710	69	5	the	the	DET
csf-3710	69	6	amount	amount	NOUN
csf-3710	69	7	of	of	ADP
csf-3710	69	8	education	education	NOUN
csf-3710	69	9	that	that	SCONJ
csf-3710	69	10	an	an	DET
csf-3710	69	11	inmate	inmate	NOUN
csf-3710	69	12	acquires	acquire	VERB
csf-3710	69	13	has	have	VERB
csf-3710	69	14	no	no	DET
csf-3710	69	15	significant	significant	ADJ
csf-3710	69	16	effect	effect	NOUN
csf-3710	69	17	on	on	ADP
csf-3710	69	18	the	the	DET
csf-3710	69	19	number	number	NOUN
csf-3710	69	20	of	of	ADP
csf-3710	69	21	class	class	NOUN
csf-3710	69	22	three	three	NUM
csf-3710	69	23	tickets	ticket	NOUN
csf-3710	69	24	he	he	PRON
csf-3710	69	25	receives	receive	VERB
csf-3710	69	26	.	.	PUNCT
csf-3710	70	1	the	the	DET
csf-3710	70	2	age	age	NOUN
csf-3710	70	3	at	at	ADP
csf-3710	70	4	first	first	ADJ
csf-3710	70	5	arrest	arrest	NOUN
csf-3710	70	6	variable	variable	NOUN
csf-3710	70	7	has	have	VERB
csf-3710	70	8	a	a	DET
csf-3710	70	9	negative	negative	ADJ
csf-3710	70	10	regression	regression	NOUN
csf-3710	70	11	coefficient	coefficient	NOUN
csf-3710	70	12	which	which	PRON
csf-3710	70	13	is	be	AUX
csf-3710	70	14	statistically	statistically	ADV
csf-3710	70	15	insignificant	insignificant	ADJ
csf-3710	70	16	at	at	ADP
csf-3710	70	17	the	the	DET
csf-3710	70	18	0.05	0.05	NUM
csf-3710	70	19	level	level	NOUN
csf-3710	70	20	.	.	PUNCT
csf-3710	71	1	the	the	DET
csf-3710	71	2	age	age	NOUN
csf-3710	71	3	at	at	ADP
csf-3710	71	4	which	which	PRON
csf-3710	71	5	the	the	DET
csf-3710	71	6	prisoner	prisoner	NOUN
csf-3710	71	7	was	be	AUX
csf-3710	71	8	arrested	arrest	VERB
csf-3710	71	9	has	have	VERB
csf-3710	71	10	no	no	DET
csf-3710	71	11	significant	significant	ADJ
csf-3710	71	12	effect	effect	NOUN
csf-3710	71	13	on	on	ADP
csf-3710	71	14	the	the	DET
csf-3710	71	15	number	number	NOUN
csf-3710	71	16	of	of	ADP
csf-3710	71	17	class	class	NOUN
csf-3710	71	18	three	three	NUM
csf-3710	71	19	tickets	ticket	NOUN
csf-3710	71	20	that	that	PRON
csf-3710	71	21	he	he	PRON
csf-3710	71	22	receives	receive	VERB
csf-3710	71	23	.	.	PUNCT
csf-3710	72	1	the	the	DET
csf-3710	72	2	centered	center	VERB
csf-3710	72	3	age	age	NOUN
csf-3710	72	4	at	at	ADP
csf-3710	72	5	admission	admission	NOUN
csf-3710	72	6	variable	variable	NOUN
csf-3710	72	7	has	have	AUX
csf-3710	72	8	been	be	AUX
csf-3710	72	9	de	de	VERB
csf-3710	72	10	-	-	VERB
csf-3710	72	11	meaned	meaned	ADJ
csf-3710	72	12	,	,	PUNCT
csf-3710	72	13	meaning	mean	VERB
csf-3710	72	14	that	that	SCONJ
csf-3710	72	15	the	the	DET
csf-3710	72	16	mean	mean	NOUN
csf-3710	72	17	has	have	AUX
csf-3710	72	18	been	be	AUX
csf-3710	72	19	subtracted	subtract	VERB
csf-3710	72	20	from	from	ADP
csf-3710	72	21	the	the	DET
csf-3710	72	22	variable	variable	NOUN
csf-3710	72	23	itself	itself	PRON
csf-3710	72	24	.	.	PUNCT
csf-3710	73	1	table	table	NOUN
csf-3710	73	2	1	1	NUM
csf-3710	73	3	shows	show	VERB
csf-3710	73	4	that	that	SCONJ
csf-3710	73	5	the	the	DET
csf-3710	73	6	centered	center	VERB
csf-3710	73	7	age	age	NOUN
csf-3710	73	8	variable	variable	NOUN
csf-3710	73	9	has	have	VERB
csf-3710	73	10	a	a	DET
csf-3710	73	11	negative	negative	ADJ
csf-3710	73	12	regression	regression	NOUN
csf-3710	73	13	coefficient	coefficient	NOUN
csf-3710	73	14	and	and	CCONJ
csf-3710	73	15	it	it	PRON
csf-3710	73	16	is	be	AUX
csf-3710	73	17	statistically	statistically	ADV
csf-3710	73	18	significant	significant	ADJ
csf-3710	73	19	at	at	ADV
csf-3710	73	20	least	least	ADJ
csf-3710	73	21	at	at	ADP
csf-3710	73	22	the	the	DET
csf-3710	73	23	0.01	0.01	NUM
csf-3710	73	24	level	level	NOUN
csf-3710	73	25	.	.	PUNCT
csf-3710	74	1	to	to	PART
csf-3710	74	2	compensate	compensate	VERB
csf-3710	74	3	for	for	ADP
csf-3710	74	4	this	this	DET
csf-3710	74	5	issue	issue	NOUN
csf-3710	74	6	the	the	DET
csf-3710	74	7	variable	variable	NOUN
csf-3710	74	8	has	have	AUX
csf-3710	74	9	been	be	AUX
csf-3710	74	10	squared	square	VERB
csf-3710	74	11	(	(	PUNCT
csf-3710	74	12	see	see	VERB
csf-3710	74	13	table	table	NOUN
csf-3710	74	14	1	1	NUM
csf-3710	74	15	)	)	PUNCT
csf-3710	74	16	.	.	PUNCT
csf-3710	75	1	the	the	DET
csf-3710	75	2	squared	square	VERB
csf-3710	75	3	centered	center	VERB
csf-3710	75	4	age	age	NOUN
csf-3710	75	5	at	at	ADP
csf-3710	75	6	admission	admission	NOUN
csf-3710	75	7	has	have	VERB
csf-3710	75	8	a	a	DET
csf-3710	75	9	positive	positive	ADJ
csf-3710	75	10	regression	regression	NOUN
csf-3710	75	11	coefficient	coefficient	NOUN
csf-3710	75	12	and	and	CCONJ
csf-3710	75	13	it	it	PRON
csf-3710	75	14	is	be	AUX
csf-3710	75	15	statistically	statistically	ADV
csf-3710	75	16	significant	significant	ADJ
csf-3710	75	17	at	at	ADV
csf-3710	75	18	least	least	ADJ
csf-3710	75	19	at	at	ADP
csf-3710	75	20	the	the	DET
csf-3710	75	21	0.01	0.01	NUM
csf-3710	75	22	level	level	NOUN
csf-3710	75	23	.	.	PUNCT
csf-3710	76	1	in	in	ADP
csf-3710	76	2	other	other	ADJ
csf-3710	76	3	words	word	NOUN
csf-3710	76	4	,	,	PUNCT
csf-3710	76	5	for	for	ADP
csf-3710	76	6	one	one	NUM
csf-3710	76	7	unit	unit	NOUN
csf-3710	76	8	increase	increase	NOUN
csf-3710	76	9	in	in	ADP
csf-3710	76	10	centered	center	VERB
csf-3710	76	11	age	age	NOUN
csf-3710	76	12	at	at	ADP
csf-3710	76	13	admission	admission	NOUN
csf-3710	76	14	squared	square	VERB
csf-3710	76	15	,	,	PUNCT
csf-3710	76	16	the	the	DET
csf-3710	76	17	number	number	NOUN
csf-3710	76	18	of	of	ADP
csf-3710	76	19	class	class	NOUN
csf-3710	76	20	three	three	NUM
csf-3710	76	21	tickets	ticket	NOUN
csf-3710	76	22	is	be	AUX
csf-3710	76	23	expected	expect	VERB
csf-3710	76	24	to	to	PART
csf-3710	76	25	increase	increase	VERB
csf-3710	76	26	by	by	ADP
csf-3710	76	27	0.002	0.002	NUM
csf-3710	76	28	,	,	PUNCT
csf-3710	76	29	net	net	NOUN
csf-3710	76	30	of	of	ADP
csf-3710	76	31	all	all	DET
csf-3710	76	32	independent	independent	ADJ
csf-3710	76	33	variables	variable	NOUN
csf-3710	76	34	in	in	ADP
csf-3710	76	35	the	the	DET
csf-3710	76	36	model	model	NOUN
csf-3710	76	37	.	.	PUNCT
csf-3710	77	1	diagnosis	diagnosis	NOUN
csf-3710	77	2	of	of	ADP
csf-3710	77	3	ols	ol	NOUN
csf-3710	77	4	regression	regression	NOUN
csf-3710	77	5	assumptions	assumption	NOUN
csf-3710	77	6	although	although	SCONJ
csf-3710	77	7	ols	ol	NOUN
csf-3710	77	8	estimates	estimate	NOUN
csf-3710	77	9	are	be	AUX
csf-3710	77	10	blue	blue	ADJ
csf-3710	77	11	(	(	PUNCT
csf-3710	77	12	best	good	ADJ
csf-3710	77	13	,	,	PUNCT
csf-3710	77	14	linear	linear	ADJ
csf-3710	77	15	,	,	PUNCT
csf-3710	77	16	and	and	CCONJ
csf-3710	77	17	unbiased	unbiased	ADJ
csf-3710	77	18	estimates	estimate	NOUN
csf-3710	77	19	)	)	PUNCT
csf-3710	77	20	,	,	PUNCT
csf-3710	77	21	the	the	DET
csf-3710	77	22	properties	property	NOUN
csf-3710	77	23	only	only	ADV
csf-3710	77	24	hold	hold	VERB
csf-3710	77	25	true	true	ADJ
csf-3710	77	26	when	when	SCONJ
csf-3710	77	27	ols	ol	NOUN
csf-3710	77	28	assumptions	assumption	NOUN
csf-3710	77	29	are	be	AUX
csf-3710	77	30	satisfied	satisfied	ADJ
csf-3710	77	31	.	.	PUNCT
csf-3710	78	1	the	the	DET
csf-3710	78	2	ols	ols	PROPN
csf-3710	78	3	assumptions	assumption	NOUN
csf-3710	78	4	are	be	AUX
csf-3710	78	5	assessed	assess	VERB
csf-3710	78	6	by	by	ADP
csf-3710	78	7	examining	examine	VERB
csf-3710	78	8	the	the	DET
csf-3710	78	9	partial	partial	ADJ
csf-3710	78	10	regression	regression	NOUN
csf-3710	78	11	residual	residual	ADJ
csf-3710	78	12	plots	plot	NOUN
csf-3710	78	13	and	and	CCONJ
csf-3710	78	14	by	by	ADP
csf-3710	78	15	examining	examine	VERB
csf-3710	78	16	the	the	DET
csf-3710	78	17	variance	variance	NOUN
csf-3710	78	18	inflation	inflation	NOUN
csf-3710	78	19	factors	factor	NOUN
csf-3710	78	20	(	(	PUNCT
csf-3710	78	21	vif	vif	NOUN
csf-3710	78	22	)	)	PUNCT
csf-3710	78	23	(	(	PUNCT
csf-3710	78	24	see	see	VERB
csf-3710	78	25	table	table	NOUN
csf-3710	78	26	1	1	NUM
csf-3710	78	27	)	)	PUNCT
csf-3710	78	28	.	.	PUNCT
csf-3710	79	1	the	the	DET
csf-3710	79	2	variance	variance	NOUN
csf-3710	79	3	inflation	inflation	NOUN
csf-3710	79	4	factors	factor	NOUN
csf-3710	79	5	are	be	AUX
csf-3710	79	6	close	close	ADJ
csf-3710	79	7	to	to	ADP
csf-3710	79	8	1	1	NUM
csf-3710	79	9	,	,	PUNCT
csf-3710	79	10	indicating	indicate	VERB
csf-3710	79	11	that	that	SCONJ
csf-3710	79	12	the	the	DET
csf-3710	79	13	independent	independent	ADJ
csf-3710	79	14	variables	variable	NOUN
csf-3710	79	15	are	be	AUX
csf-3710	79	16	not	not	PART
csf-3710	79	17	collinear	collinear	ADJ
csf-3710	79	18	with	with	ADP
csf-3710	79	19	each	each	DET
csf-3710	79	20	other	other	ADJ
csf-3710	79	21	and	and	CCONJ
csf-3710	79	22	much	much	ADV
csf-3710	79	23	less	less	ADV
csf-3710	79	24	perfect	perfect	ADJ
csf-3710	79	25	multicollinearity	multicollinearity	NOUN
csf-3710	79	26	.	.	PUNCT
csf-3710	80	1	the	the	DET
csf-3710	80	2	breusch	breusch	VERB
csf-3710	80	3	-	-	PUNCT
csf-3710	80	4	pagan	pagan	ADJ
csf-3710	80	5	test	test	NOUN
csf-3710	80	6	checks	check	NOUN
csf-3710	80	7	for	for	ADP
csf-3710	80	8	homoscedasticity	homoscedasticity	NOUN
csf-3710	80	9	.	.	PUNCT
csf-3710	81	1	the	the	DET
csf-3710	81	2	test	test	NOUN
csf-3710	81	3	assumes	assume	VERB
csf-3710	81	4	a	a	DET
csf-3710	81	5	null	null	ADJ
csf-3710	81	6	hypothesis	hypothesis	NOUN
csf-3710	81	7	of	of	ADP
csf-3710	81	8	homoscedasticity	homoscedasticity	NOUN
csf-3710	81	9	,	,	PUNCT
csf-3710	81	10	and	and	CCONJ
csf-3710	81	11	since	since	SCONJ
csf-3710	81	12	the	the	DET
csf-3710	81	13	outcome	outcome	NOUN
csf-3710	81	14	for	for	ADP
csf-3710	81	15	this	this	DET
csf-3710	81	16	analysis	analysis	NOUN
csf-3710	81	17	shows	show	VERB
csf-3710	81	18	statistical	statistical	ADJ
csf-3710	81	19	significance	significance	NOUN
csf-3710	81	20	(	(	PUNCT
csf-3710	81	21	see	see	VERB
csf-3710	81	22	table	table	NOUN
csf-3710	81	23	1	1	NUM
csf-3710	81	24	)	)	PUNCT
csf-3710	81	25	,	,	PUNCT
csf-3710	81	26	this	this	PRON
csf-3710	81	27	indicates	indicate	VERB
csf-3710	81	28	that	that	SCONJ
csf-3710	81	29	the	the	DET
csf-3710	81	30	residuals	residual	NOUN
csf-3710	81	31	are	be	AUX
csf-3710	81	32	heteroscedastistic	heteroscedastistic	ADJ
csf-3710	81	33	.	.	PUNCT
csf-3710	82	1	in	in	ADP
csf-3710	82	2	other	other	ADJ
csf-3710	82	3	words	word	NOUN
csf-3710	82	4	the	the	DET
csf-3710	82	5	assumption	assumption	NOUN
csf-3710	82	6	of	of	ADP
csf-3710	82	7	homoscedasticity	homoscedasticity	NOUN
csf-3710	82	8	is	be	AUX
csf-3710	82	9	violated	violate	VERB
csf-3710	82	10	thus	thus	ADV
csf-3710	82	11	making	make	VERB
csf-3710	82	12	the	the	DET
csf-3710	82	13	ols	ol	NOUN
csf-3710	82	14	regression	regression	NOUN
csf-3710	82	15	coefficients	coefficient	NOUN
csf-3710	82	16	still	still	ADV
csf-3710	82	17	unbiased	unbiased	ADJ
csf-3710	82	18	but	but	CCONJ
csf-3710	82	19	no	no	ADV
csf-3710	82	20	longer	long	ADV
csf-3710	82	21	best	good	ADJ
csf-3710	82	22	or	or	CCONJ
csf-3710	82	23	efficient	efficient	ADJ
csf-3710	82	24	.	.	PUNCT
csf-3710	83	1	the	the	DET
csf-3710	83	2	assumption	assumption	NOUN
csf-3710	83	3	violation	violation	NOUN
csf-3710	83	4	of	of	ADP
csf-3710	83	5	homoscedasticity	homoscedasticity	NOUN
csf-3710	83	6	can	can	AUX
csf-3710	83	7	be	be	AUX
csf-3710	83	8	resolved	resolve	VERB
csf-3710	83	9	by	by	ADP
csf-3710	83	10	testing	test	VERB
csf-3710	83	11	the	the	DET
csf-3710	83	12	statistical	statistical	ADJ
csf-3710	83	13	significance	significance	NOUN
csf-3710	83	14	of	of	ADP
csf-3710	83	15	heteroscedasticity	heteroscedasticity	NOUN
csf-3710	83	16	while	while	SCONJ
csf-3710	83	17	using	use	VERB
csf-3710	83	18	robust	robust	ADJ
csf-3710	83	19	standard	standard	ADJ
csf-3710	83	20	errors	error	NOUN
csf-3710	83	21	that	that	PRON
csf-3710	83	22	take	take	VERB
csf-3710	83	23	into	into	ADP
csf-3710	83	24	consideration	consideration	NOUN
csf-3710	83	25	heteroscedastistic	heteroscedastistic	ADJ
csf-3710	83	26	disturbances	disturbance	NOUN
csf-3710	83	27	.	.	PUNCT
csf-3710	84	1	we	we	PRON
csf-3710	84	2	can	can	AUX
csf-3710	84	3	also	also	ADV
csf-3710	84	4	use	use	VERB
csf-3710	84	5	a	a	DET
csf-3710	84	6	weighted	weight	VERB
csf-3710	84	7	least	least	ADJ
csf-3710	84	8	square	square	ADJ
csf-3710	84	9	estimator	estimator	NOUN
csf-3710	84	10	and	and	CCONJ
csf-3710	84	11	regress	regress	NOUN
csf-3710	84	12	this	this	DET
csf-3710	84	13	estimator	estimator	NOUN
csf-3710	84	14	on	on	ADP
csf-3710	84	15	the	the	DET
csf-3710	84	16	variables	variable	NOUN
csf-3710	84	17	associated	associate	VERB
csf-3710	84	18	with	with	ADP
csf-3710	84	19	heteroscedasticity	heteroscedasticity	NOUN
csf-3710	84	20	.	.	PUNCT
csf-3710	85	1	no	no	DET
csf-3710	85	2	test	test	NOUN
csf-3710	85	3	was	be	AUX
csf-3710	85	4	conducted	conduct	VERB
csf-3710	85	5	to	to	PART
csf-3710	85	6	check	check	VERB
csf-3710	85	7	for	for	ADP
csf-3710	85	8	the	the	DET
csf-3710	85	9	assumption	assumption	NOUN
csf-3710	85	10	of	of	ADP
csf-3710	85	11	zero	zero	NUM
csf-3710	85	12	covariance	covariance	NOUN
csf-3710	85	13	with	with	ADP
csf-3710	85	14	regressors	regressor	NOUN
csf-3710	85	15	,	,	PUNCT
csf-3710	85	16	but	but	CCONJ
csf-3710	85	17	the	the	DET
csf-3710	85	18	partial	partial	ADJ
csf-3710	85	19	regression	regression	NOUN
csf-3710	85	20	residual	residual	ADJ
csf-3710	85	21	plots	plot	NOUN
csf-3710	85	22	seem	seem	VERB
csf-3710	85	23	to	to	PART
csf-3710	85	24	indicate	indicate	VERB
csf-3710	85	25	linear	linear	ADJ
csf-3710	85	26	relationships	relationship	NOUN
csf-3710	85	27	for	for	ADP
csf-3710	85	28	the	the	DET
csf-3710	85	29	independent	independent	ADJ
csf-3710	85	30	variables	variable	NOUN
csf-3710	85	31	.	.	PUNCT
csf-3710	86	1	california	california	PROPN
csf-3710	86	2	sociology	sociology	PROPN
csf-3710	86	3	journal	journal	PROPN
csf-3710	86	4	,	,	PUNCT
csf-3710	86	5	2008	2008	NUM
csf-3710	86	6	,	,	PUNCT
csf-3710	86	7	vol	vol	NOUN
csf-3710	86	8	.	.	PROPN
csf-3710	86	9	1	1	NUM
csf-3710	86	10	(	(	PUNCT
csf-3710	86	11	november	november	PROPN
csf-3710	86	12	:	:	PUNCT
csf-3710	86	13	22	22	NUM
csf-3710	86	14	-	-	SYM
csf-3710	86	15	26	26	NUM
csf-3710	86	16	)	)	PUNCT
csf-3710	86	17	inmate	inmate	NOUN
csf-3710	86	18	rule	rule	NOUN
csf-3710	86	19	violation	violation	NOUN
csf-3710	86	20	by	by	ADP
csf-3710	86	21	alex	alex	PROPN
csf-3710	86	22	martinez	martinez	PROPN
csf-3710	86	23	26	26	NUM
csf-3710	86	24	california	california	PROPN
csf-3710	86	25	sociology	sociology	NOUN
csf-3710	86	26	journal	journal	NOUN
csf-3710	86	27	,	,	PUNCT
csf-3710	86	28	2008	2008	NUM
csf-3710	86	29	,	,	PUNCT
csf-3710	86	30	vol	vol	NOUN
csf-3710	86	31	.	.	PROPN
csf-3710	86	32	1	1	NUM
csf-3710	86	33	(	(	PUNCT
csf-3710	86	34	november	november	PROPN
csf-3710	86	35	:	:	PUNCT
csf-3710	86	36	22	22	NUM
csf-3710	86	37	-	-	SYM
csf-3710	86	38	26	26	NUM
csf-3710	86	39	)	)	PUNCT
csf-3710	86	40	if	if	SCONJ
csf-3710	86	41	variables	variable	NOUN
csf-3710	86	42	are	be	AUX
csf-3710	86	43	omitted	omit	VERB
csf-3710	86	44	the	the	DET
csf-3710	86	45	assumption	assumption	NOUN
csf-3710	86	46	of	of	ADP
csf-3710	86	47	zero	zero	NUM
csf-3710	86	48	conditional	conditional	ADJ
csf-3710	86	49	mean	mean	NOUN
csf-3710	86	50	is	be	AUX
csf-3710	86	51	most	most	ADV
csf-3710	86	52	likely	likely	ADV
csf-3710	86	53	violated	violate	VERB
csf-3710	86	54	.	.	PUNCT
csf-3710	87	1	since	since	SCONJ
csf-3710	87	2	other	other	ADJ
csf-3710	87	3	ethnicities	ethnicity	NOUN
csf-3710	87	4	have	have	AUX
csf-3710	87	5	been	be	AUX
csf-3710	87	6	omitted	omit	VERB
csf-3710	87	7	,	,	PUNCT
csf-3710	87	8	we	we	PRON
csf-3710	87	9	concluded	conclude	VERB
csf-3710	87	10	that	that	SCONJ
csf-3710	87	11	the	the	DET
csf-3710	87	12	assumption	assumption	NOUN
csf-3710	87	13	of	of	ADP
csf-3710	87	14	zero	zero	NUM
csf-3710	87	15	conditional	conditional	ADJ
csf-3710	87	16	mean	mean	NOUN
csf-3710	87	17	has	have	AUX
csf-3710	87	18	been	be	AUX
csf-3710	87	19	violated	violate	VERB
csf-3710	87	20	.	.	PUNCT
csf-3710	88	1	no	no	DET
csf-3710	88	2	test	test	NOUN
csf-3710	88	3	was	be	AUX
csf-3710	88	4	conducted	conduct	VERB
csf-3710	88	5	for	for	ADP
csf-3710	88	6	the	the	DET
csf-3710	88	7	assumption	assumption	NOUN
csf-3710	88	8	of	of	ADP
csf-3710	88	9	no	no	DET
csf-3710	88	10	autocorrelation	autocorrelation	NOUN
csf-3710	88	11	.	.	PUNCT
csf-3710	89	1	however	however	ADV
csf-3710	89	2	since	since	SCONJ
csf-3710	89	3	our	our	PRON
csf-3710	89	4	data	datum	NOUN
csf-3710	89	5	is	be	AUX
csf-3710	89	6	not	not	PART
csf-3710	89	7	time	time	NOUN
csf-3710	89	8	series	series	NOUN
csf-3710	89	9	,	,	PUNCT
csf-3710	89	10	we	we	PRON
csf-3710	89	11	conclude	conclude	VERB
csf-3710	89	12	that	that	SCONJ
csf-3710	89	13	the	the	DET
csf-3710	89	14	assumption	assumption	NOUN
csf-3710	89	15	of	of	ADP
csf-3710	89	16	no	no	DET
csf-3710	89	17	autocorrelation	autocorrelation	NOUN
csf-3710	89	18	has	have	AUX
csf-3710	89	19	not	not	PART
csf-3710	89	20	been	be	AUX
csf-3710	89	21	violated	violate	VERB
csf-3710	89	22	.	.	PUNCT
csf-3710	90	1	ols	ol	NOUN
csf-3710	90	2	estimates	estimate	NOUN
csf-3710	90	3	are	be	AUX
csf-3710	90	4	also	also	ADV
csf-3710	90	5	sensitive	sensitive	ADJ
csf-3710	90	6	to	to	ADP
csf-3710	90	7	the	the	DET
csf-3710	90	8	influence	influence	NOUN
csf-3710	90	9	of	of	ADP
csf-3710	90	10	outliers	outlier	NOUN
csf-3710	90	11	.	.	PUNCT
csf-3710	91	1	to	to	PART
csf-3710	91	2	check	check	VERB
csf-3710	91	3	for	for	ADP
csf-3710	91	4	influential	influential	ADJ
csf-3710	91	5	outliers	outlier	NOUN
csf-3710	91	6	the	the	DET
csf-3710	91	7	partial	partial	ADJ
csf-3710	91	8	regression	regression	NOUN
csf-3710	91	9	residual	residual	ADJ
csf-3710	91	10	plots	plot	NOUN
csf-3710	91	11	are	be	AUX
csf-3710	91	12	examined	examine	VERB
csf-3710	91	13	.	.	PUNCT
csf-3710	92	1	the	the	DET
csf-3710	92	2	partial	partial	ADJ
csf-3710	92	3	regression	regression	VERB
csf-3710	92	4	residual	residual	ADJ
csf-3710	92	5	plots	plot	NOUN
csf-3710	92	6	for	for	ADP
csf-3710	92	7	all	all	DET
csf-3710	92	8	the	the	DET
csf-3710	92	9	independent	independent	ADJ
csf-3710	92	10	variables	variable	NOUN
csf-3710	92	11	show	show	VERB
csf-3710	92	12	that	that	SCONJ
csf-3710	92	13	there	there	PRON
csf-3710	92	14	is	be	VERB
csf-3710	92	15	a	a	DET
csf-3710	92	16	possible	possible	ADJ
csf-3710	92	17	influential	influential	ADJ
csf-3710	92	18	outlier	outlier	NOUN
csf-3710	92	19	.	.	PUNCT
csf-3710	93	1	however	however	ADV
csf-3710	93	2	when	when	SCONJ
csf-3710	93	3	the	the	DET
csf-3710	93	4	observation	observation	NOUN
csf-3710	93	5	is	be	AUX
csf-3710	93	6	omitted	omit	VERB
csf-3710	93	7	and	and	CCONJ
csf-3710	93	8	the	the	DET
csf-3710	93	9	ols	ol	NOUN
csf-3710	93	10	model	model	NOUN
csf-3710	93	11	is	be	AUX
csf-3710	93	12	run	run	VERB
csf-3710	93	13	again	again	ADV
csf-3710	93	14	,	,	PUNCT
csf-3710	93	15	the	the	DET
csf-3710	93	16	outcome	outcome	NOUN
csf-3710	93	17	shows	show	VERB
csf-3710	93	18	that	that	SCONJ
csf-3710	93	19	the	the	DET
csf-3710	93	20	original	original	ADJ
csf-3710	93	21	findings	finding	NOUN
csf-3710	93	22	hold	hold	VERB
csf-3710	93	23	true	true	ADJ
csf-3710	93	24	.	.	PUNCT
csf-3710	94	1	all	all	DET
csf-3710	94	2	the	the	DET
csf-3710	94	3	independent	independent	ADJ
csf-3710	94	4	variables	variable	NOUN
csf-3710	94	5	have	have	VERB
csf-3710	94	6	the	the	DET
csf-3710	94	7	same	same	ADJ
csf-3710	94	8	statistically	statistically	ADV
csf-3710	94	9	significant	significant	ADJ
csf-3710	94	10	coefficients	coefficient	NOUN
csf-3710	94	11	.	.	PUNCT
csf-3710	95	1	interestingly	interestingly	ADV
csf-3710	95	2	,	,	PUNCT
csf-3710	95	3	the	the	DET
csf-3710	95	4	direction	direction	NOUN
csf-3710	95	5	of	of	ADP
csf-3710	95	6	the	the	DET
csf-3710	95	7	medium	medium	ADJ
csf-3710	95	8	sized	sized	ADJ
csf-3710	95	9	prison	prison	NOUN
csf-3710	95	10	variable	variable	ADJ
csf-3710	95	11	changes	change	NOUN
csf-3710	95	12	from	from	ADP
csf-3710	95	13	negative	negative	ADJ
csf-3710	95	14	to	to	ADP
csf-3710	95	15	positive	positive	ADJ
csf-3710	95	16	.	.	PUNCT
csf-3710	96	1	however	however	ADV
csf-3710	96	2	,	,	PUNCT
csf-3710	96	3	the	the	DET
csf-3710	96	4	statistical	statistical	ADJ
csf-3710	96	5	significance	significance	NOUN
csf-3710	96	6	shows	show	VERB
csf-3710	96	7	no	no	DET
csf-3710	96	8	change	change	NOUN
csf-3710	96	9	.	.	PUNCT
csf-3710	97	1	also	also	ADV
csf-3710	97	2	,	,	PUNCT
csf-3710	97	3	the	the	DET
csf-3710	97	4	magnitude	magnitude	NOUN
csf-3710	97	5	for	for	ADP
csf-3710	97	6	ethnicity	ethnicity	NOUN
csf-3710	97	7	changes	change	NOUN
csf-3710	97	8	but	but	CCONJ
csf-3710	97	9	not	not	PART
csf-3710	97	10	the	the	DET
csf-3710	97	11	significance	significance	NOUN
csf-3710	97	12	.	.	PUNCT
csf-3710	98	1	conclusion	conclusion	NOUN
csf-3710	98	2	the	the	DET
csf-3710	98	3	ols	ol	NOUN
csf-3710	98	4	regression	regression	NOUN
csf-3710	98	5	analysis	analysis	NOUN
csf-3710	98	6	shows	show	VERB
csf-3710	98	7	that	that	SCONJ
csf-3710	98	8	the	the	DET
csf-3710	98	9	number	number	NOUN
csf-3710	98	10	of	of	ADP
csf-3710	98	11	class	class	NOUN
csf-3710	98	12	three	three	NUM
csf-3710	98	13	tickets	ticket	NOUN
csf-3710	98	14	that	that	PRON
csf-3710	98	15	an	an	DET
csf-3710	98	16	inmate	inmate	NOUN
csf-3710	98	17	receives	receive	VERB
csf-3710	98	18	in	in	ADP
csf-3710	98	19	not	not	PART
csf-3710	98	20	affected	affect	VERB
csf-3710	98	21	by	by	ADP
csf-3710	98	22	;	;	PUNCT
csf-3710	98	23	medium	medium	ADJ
csf-3710	98	24	sized	sized	ADJ
csf-3710	98	25	prisons	prison	NOUN
csf-3710	98	26	,	,	PUNCT
csf-3710	98	27	amount	amount	NOUN
csf-3710	98	28	of	of	ADP
csf-3710	98	29	time	time	NOUN
csf-3710	98	30	served	serve	VERB
csf-3710	98	31	,	,	PUNCT
csf-3710	98	32	education	education	NOUN
csf-3710	98	33	,	,	PUNCT
csf-3710	98	34	and	and	CCONJ
csf-3710	98	35	the	the	DET
csf-3710	98	36	age	age	NOUN
csf-3710	98	37	at	at	ADP
csf-3710	98	38	first	first	ADJ
csf-3710	98	39	arrest	arrest	NOUN
csf-3710	98	40	.	.	PUNCT
csf-3710	99	1	the	the	DET
csf-3710	99	2	analysis	analysis	NOUN
csf-3710	99	3	does	do	AUX
csf-3710	99	4	show	show	VERB
csf-3710	99	5	that	that	PRON
csf-3710	99	6	small	small	ADJ
csf-3710	99	7	sized	sized	ADJ
csf-3710	99	8	prisons	prison	NOUN
csf-3710	99	9	,	,	PUNCT
csf-3710	99	10	ethnicity	ethnicity	NOUN
csf-3710	99	11	,	,	PUNCT
csf-3710	99	12	and	and	CCONJ
csf-3710	99	13	centered	center	VERB
csf-3710	99	14	age	age	NOUN
csf-3710	99	15	at	at	ADP
csf-3710	99	16	admission	admission	NOUN
csf-3710	99	17	do	do	AUX
csf-3710	99	18	have	have	VERB
csf-3710	99	19	a	a	DET
csf-3710	99	20	significant	significant	ADJ
csf-3710	99	21	effect	effect	NOUN
csf-3710	99	22	on	on	ADP
csf-3710	99	23	the	the	DET
csf-3710	99	24	number	number	NOUN
csf-3710	99	25	of	of	ADP
csf-3710	99	26	class	class	NOUN
csf-3710	99	27	three	three	NUM
csf-3710	99	28	tickets	ticket	NOUN
csf-3710	99	29	that	that	PRON
csf-3710	99	30	an	an	DET
csf-3710	99	31	inmate	inmate	NOUN
csf-3710	99	32	receives	receive	VERB
csf-3710	99	33	.	.	PUNCT
csf-3710	100	1	while	while	SCONJ
csf-3710	100	2	we	we	PRON
csf-3710	100	3	have	have	AUX
csf-3710	100	4	learned	learn	VERB
csf-3710	100	5	much	much	ADJ
csf-3710	100	6	from	from	ADP
csf-3710	100	7	our	our	PRON
csf-3710	100	8	analysis	analysis	NOUN
csf-3710	100	9	,	,	PUNCT
csf-3710	100	10	further	further	ADJ
csf-3710	100	11	research	research	NOUN
csf-3710	100	12	is	be	AUX
csf-3710	100	13	needed	need	VERB
csf-3710	100	14	.	.	PUNCT
csf-3710	101	1	to	to	PART
csf-3710	101	2	have	have	VERB
csf-3710	101	3	solid	solid	ADJ
csf-3710	101	4	conclusions	conclusion	NOUN
csf-3710	101	5	on	on	ADP
csf-3710	101	6	whether	whether	SCONJ
csf-3710	101	7	there	there	PRON
csf-3710	101	8	is	be	VERB
csf-3710	101	9	a	a	DET
csf-3710	101	10	relationship	relationship	NOUN
csf-3710	101	11	between	between	ADP
csf-3710	101	12	the	the	DET
csf-3710	101	13	size	size	NOUN
csf-3710	101	14	of	of	ADP
csf-3710	101	15	prisons	prison	NOUN
csf-3710	101	16	and	and	CCONJ
csf-3710	101	17	the	the	DET
csf-3710	101	18	rate	rate	NOUN
csf-3710	101	19	of	of	ADP
csf-3710	101	20	inmate	inmate	NOUN
csf-3710	101	21	rule	rule	NOUN
csf-3710	101	22	violations	violation	NOUN
csf-3710	101	23	,	,	PUNCT
csf-3710	101	24	more	more	ADJ
csf-3710	101	25	research	research	NOUN
csf-3710	101	26	needs	need	VERB
csf-3710	101	27	to	to	PART
csf-3710	101	28	be	be	AUX
csf-3710	101	29	conducted	conduct	VERB
csf-3710	101	30	that	that	PRON
csf-3710	101	31	includes	include	VERB
csf-3710	101	32	prisons	prison	NOUN
csf-3710	101	33	of	of	ADP
csf-3710	101	34	different	different	ADJ
csf-3710	101	35	sizes	size	NOUN
csf-3710	101	36	.	.	PUNCT
csf-3710	102	1	there	there	PRON
csf-3710	102	2	also	also	ADV
csf-3710	102	3	needs	need	VERB
csf-3710	102	4	to	to	PART
csf-3710	102	5	be	be	AUX
csf-3710	102	6	an	an	DET
csf-3710	102	7	analysis	analysis	NOUN
csf-3710	102	8	that	that	PRON
csf-3710	102	9	includes	include	VERB
csf-3710	102	10	other	other	ADJ
csf-3710	102	11	race	race	NOUN
csf-3710	102	12	/	/	SYM
csf-3710	102	13	ethnicities	ethnicity	NOUN
csf-3710	102	14	and	and	CCONJ
csf-3710	102	15	female	female	ADJ
csf-3710	102	16	inmates	inmate	NOUN
csf-3710	102	17	.	.	PUNCT
csf-3710	103	1	also	also	ADV
csf-3710	103	2	,	,	PUNCT
csf-3710	103	3	there	there	PRON
csf-3710	103	4	needs	need	VERB
csf-3710	103	5	to	to	PART
csf-3710	103	6	be	be	AUX
csf-3710	103	7	a	a	DET
csf-3710	103	8	comparison	comparison	NOUN
csf-3710	103	9	done	do	VERB
csf-3710	103	10	between	between	ADP
csf-3710	103	11	prisons	prison	NOUN
csf-3710	103	12	in	in	ADP
csf-3710	103	13	different	different	ADJ
csf-3710	103	14	states	state	NOUN
csf-3710	103	15	.	.	PUNCT