id	sid	tid	token	lemma	pos
gsjp-14087	1	1	72	72	NUM
gsjp-14087	1	2	response	response	NOUN
gsjp-14087	1	3	time	time	NOUN
gsjp-14087	1	4	to	to	PART
gsjp-14087	1	5	detect	detect	VERB
gsjp-14087	1	6	careless	careless	ADJ
gsjp-14087	1	7	responding	responding	NOUN
gsjp-14087	1	8	and	and	CCONJ
gsjp-14087	1	9	its	its	PRON
gsjp-14087	1	10	relationship	relationship	NOUN
gsjp-14087	1	11	with	with	ADP
gsjp-14087	1	12	and	and	CCONJ
gsjp-14087	1	13	prediction	prediction	NOUN
gsjp-14087	1	14	of	of	ADP
gsjp-14087	1	15	emotional	emotional	ADJ
gsjp-14087	1	16	distress	distress	NOUN
gsjp-14087	1	17	kristen	kristen	PROPN
gsjp-14087	1	18	e.	e.	PROPN
gsjp-14087	1	19	zentner	zentner	PROPN
gsjp-14087	1	20	&	&	CCONJ
gsjp-14087	1	21	seyma	seyma	PROPN
gsjp-14087	1	22	n.	n.	PROPN
gsjp-14087	1	23	yildirim	yildirim	PROPN
gsjp-14087	1	24	-	-	PUNCT
gsjp-14087	1	25	erbasli	erbasli	PROPN
gsjp-14087	1	26	department	department	NOUN
gsjp-14087	1	27	of	of	ADP
gsjp-14087	1	28	psychology	psychology	PROPN
gsjp-14087	1	29	,	,	PUNCT
gsjp-14087	1	30	concordia	concordia	PROPN
gsjp-14087	1	31	university	university	PROPN
gsjp-14087	1	32	of	of	ADP
gsjp-14087	1	33	edmonton	edmonton	PROPN
gsjp-14087	1	34	computerized	computerized	ADJ
gsjp-14087	1	35	self	self	NOUN
gsjp-14087	1	36	-	-	PUNCT
gsjp-14087	1	37	report	report	NOUN
gsjp-14087	1	38	measures	measure	NOUN
gsjp-14087	1	39	have	have	AUX
gsjp-14087	1	40	revolutionized	revolutionize	VERB
gsjp-14087	1	41	the	the	DET
gsjp-14087	1	42	administration	administration	NOUN
gsjp-14087	1	43	of	of	ADP
gsjp-14087	1	44	psychological	psychological	ADJ
gsjp-14087	1	45	measures	measure	NOUN
gsjp-14087	1	46	by	by	ADP
gsjp-14087	1	47	offering	offer	VERB
gsjp-14087	1	48	researchers	researcher	NOUN
gsjp-14087	1	49	and	and	CCONJ
gsjp-14087	1	50	clinicians	clinician	NOUN
gsjp-14087	1	51	a	a	DET
gsjp-14087	1	52	more	more	ADV
gsjp-14087	1	53	efficient	efficient	ADJ
gsjp-14087	1	54	and	and	CCONJ
gsjp-14087	1	55	convenient	convenient	ADJ
gsjp-14087	1	56	means	mean	NOUN
gsjp-14087	1	57	of	of	ADP
gsjp-14087	1	58	collecting	collect	VERB
gsjp-14087	1	59	data	datum	NOUN
gsjp-14087	1	60	.	.	PUNCT
gsjp-14087	2	1	however	however	ADV
gsjp-14087	2	2	,	,	PUNCT
gsjp-14087	2	3	the	the	DET
gsjp-14087	2	4	potential	potential	NOUN
gsjp-14087	2	5	of	of	ADP
gsjp-14087	2	6	computerized	computerized	ADJ
gsjp-14087	2	7	testing	testing	NOUN
gsjp-14087	2	8	has	have	VERB
gsjp-14087	2	9	yet	yet	ADV
gsjp-14087	2	10	to	to	PART
gsjp-14087	2	11	be	be	AUX
gsjp-14087	2	12	fully	fully	ADV
gsjp-14087	2	13	realized	realize	VERB
gsjp-14087	2	14	.	.	PUNCT
gsjp-14087	3	1	additional	additional	ADJ
gsjp-14087	3	2	data	datum	NOUN
gsjp-14087	3	3	available	available	ADJ
gsjp-14087	3	4	in	in	ADP
gsjp-14087	3	5	computerized	computerized	ADJ
gsjp-14087	3	6	testing	testing	NOUN
gsjp-14087	3	7	(	(	PUNCT
gsjp-14087	3	8	e.g.	e.g.	ADV
gsjp-14087	3	9	,	,	PUNCT
gsjp-14087	3	10	response	response	NOUN
gsjp-14087	3	11	time	time	NOUN
gsjp-14087	3	12	)	)	PUNCT
gsjp-14087	3	13	,	,	PUNCT
gsjp-14087	3	14	which	which	PRON
gsjp-14087	3	15	are	be	AUX
gsjp-14087	3	16	not	not	PART
gsjp-14087	3	17	available	available	ADJ
gsjp-14087	3	18	through	through	ADP
gsjp-14087	3	19	traditional	traditional	ADJ
gsjp-14087	3	20	pen	pen	NOUN
gsjp-14087	3	21	-	-	PUNCT
gsjp-14087	3	22	and	and	CCONJ
gsjp-14087	3	23	-	-	PUNCT
gsjp-14087	3	24	paper	paper	NOUN
gsjp-14087	3	25	administration	administration	NOUN
gsjp-14087	3	26	,	,	PUNCT
gsjp-14087	3	27	offer	offer	VERB
gsjp-14087	3	28	significant	significant	ADJ
gsjp-14087	3	29	contributions	contribution	NOUN
gsjp-14087	3	30	to	to	ADP
gsjp-14087	3	31	the	the	DET
gsjp-14087	3	32	psychometric	psychometric	ADJ
gsjp-14087	3	33	utility	utility	NOUN
gsjp-14087	3	34	of	of	ADP
gsjp-14087	3	35	these	these	DET
gsjp-14087	3	36	tests	test	NOUN
gsjp-14087	3	37	.	.	PUNCT
gsjp-14087	4	1	response	response	NOUN
gsjp-14087	4	2	time	time	NOUN
gsjp-14087	4	3	is	be	AUX
gsjp-14087	4	4	recognized	recognize	VERB
gsjp-14087	4	5	for	for	ADP
gsjp-14087	4	6	its	its	PRON
gsjp-14087	4	7	ability	ability	NOUN
gsjp-14087	4	8	to	to	PART
gsjp-14087	4	9	provide	provide	VERB
gsjp-14087	4	10	a	a	DET
gsjp-14087	4	11	broader	broad	ADJ
gsjp-14087	4	12	representation	representation	NOUN
gsjp-14087	4	13	of	of	ADP
gsjp-14087	4	14	responses	response	NOUN
gsjp-14087	4	15	,	,	PUNCT
gsjp-14087	4	16	going	go	VERB
gsjp-14087	4	17	beyond	beyond	ADP
gsjp-14087	4	18	the	the	DET
gsjp-14087	4	19	responses	response	NOUN
gsjp-14087	4	20	themselves	themselves	PRON
gsjp-14087	4	21	(	(	PUNCT
gsjp-14087	4	22	van	van	PROPN
gsjp-14087	4	23	der	der	PROPN
gsjp-14087	4	24	linden	linden	PROPN
gsjp-14087	4	25	et	et	PROPN
gsjp-14087	4	26	al	al	PROPN
gsjp-14087	4	27	.	.	PROPN
gsjp-14087	4	28	,	,	PUNCT
gsjp-14087	4	29	2010	2010	NUM
gsjp-14087	4	30	)	)	PUNCT
gsjp-14087	4	31	.	.	PUNCT
gsjp-14087	5	1	it	it	PRON
gsjp-14087	5	2	has	have	VERB
gsjp-14087	5	3	considerable	considerable	ADJ
gsjp-14087	5	4	potential	potential	NOUN
gsjp-14087	5	5	to	to	PART
gsjp-14087	5	6	reveal	reveal	VERB
gsjp-14087	5	7	psychometrically	psychometrically	ADV
gsjp-14087	5	8	relevant	relevant	ADJ
gsjp-14087	5	9	information	information	NOUN
gsjp-14087	5	10	,	,	PUNCT
gsjp-14087	5	11	assess	assess	VERB
gsjp-14087	5	12	profile	profile	NOUN
gsjp-14087	5	13	validity	validity	NOUN
gsjp-14087	5	14	(	(	PUNCT
gsjp-14087	5	15	i.e.	i.e.	X
gsjp-14087	5	16	,	,	PUNCT
gsjp-14087	5	17	the	the	DET
gsjp-14087	5	18	extent	extent	NOUN
gsjp-14087	5	19	to	to	PART
gsjp-14087	5	20	which	which	PRON
gsjp-14087	5	21	an	an	DET
gsjp-14087	5	22	individual	individual	NOUN
gsjp-14087	5	23	’s	’s	PART
gsjp-14087	5	24	test	test	NOUN
gsjp-14087	5	25	score	score	NOUN
gsjp-14087	5	26	represents	represent	VERB
gsjp-14087	5	27	the	the	DET
gsjp-14087	5	28	true	true	ADJ
gsjp-14087	5	29	level	level	NOUN
gsjp-14087	5	30	of	of	ADP
gsjp-14087	5	31	the	the	DET
gsjp-14087	5	32	trait	trait	NOUN
gsjp-14087	5	33	or	or	CCONJ
gsjp-14087	5	34	ability	ability	NOUN
gsjp-14087	5	35	being	be	AUX
gsjp-14087	5	36	measured	measure	VERB
gsjp-14087	5	37	)	)	PUNCT
gsjp-14087	5	38	,	,	PUNCT
gsjp-14087	5	39	and	and	CCONJ
gsjp-14087	5	40	develop	develop	VERB
gsjp-14087	5	41	increasingly	increasingly	ADV
gsjp-14087	5	42	precise	precise	ADJ
gsjp-14087	5	43	and	and	CCONJ
gsjp-14087	5	44	accurate	accurate	ADJ
gsjp-14087	5	45	adaptive	adaptive	ADJ
gsjp-14087	5	46	testing	testing	NOUN
gsjp-14087	5	47	methods	method	NOUN
gsjp-14087	5	48	.	.	PUNCT
gsjp-14087	6	1	emotional	emotional	ADJ
gsjp-14087	6	2	distress	distress	NOUN
gsjp-14087	6	3	and	and	CCONJ
gsjp-14087	6	4	response	response	NOUN
gsjp-14087	6	5	behavior	behavior	NOUN
gsjp-14087	6	6	there	there	PRON
gsjp-14087	6	7	is	be	VERB
gsjp-14087	6	8	strong	strong	ADJ
gsjp-14087	6	9	evidence	evidence	NOUN
gsjp-14087	6	10	to	to	PART
gsjp-14087	6	11	suggest	suggest	VERB
gsjp-14087	6	12	the	the	DET
gsjp-14087	6	13	impact	impact	NOUN
gsjp-14087	6	14	of	of	ADP
gsjp-14087	6	15	emotion	emotion	NOUN
gsjp-14087	6	16	on	on	ADP
gsjp-14087	6	17	performance	performance	NOUN
gsjp-14087	6	18	on	on	ADP
gsjp-14087	6	19	cognitive	cognitive	ADJ
gsjp-14087	6	20	tasks	task	NOUN
gsjp-14087	6	21	in	in	ADP
gsjp-14087	6	22	the	the	DET
gsjp-14087	6	23	cognitive	cognitive	ADJ
gsjp-14087	6	24	psychology	psychology	NOUN
gsjp-14087	6	25	literature	literature	NOUN
gsjp-14087	6	26	(	(	PUNCT
gsjp-14087	6	27	e.g.	e.g.	ADV
gsjp-14087	6	28	,	,	PUNCT
gsjp-14087	6	29	castaneda	castaneda	PROPN
gsjp-14087	6	30	et	et	PROPN
gsjp-14087	6	31	al	al	PROPN
gsjp-14087	6	32	.	.	PROPN
gsjp-14087	6	33	,	,	PUNCT
gsjp-14087	6	34	2008	2008	NUM
gsjp-14087	6	35	,	,	PUNCT
gsjp-14087	6	36	2011	2011	NUM
gsjp-14087	6	37	;	;	PUNCT
gsjp-14087	6	38	eysenck	eysenck	NOUN
gsjp-14087	6	39	et	et	PROPN
gsjp-14087	6	40	al	al	PROPN
gsjp-14087	6	41	.	.	PROPN
gsjp-14087	6	42	,	,	PUNCT
gsjp-14087	6	43	2007	2007	NUM
gsjp-14087	6	44	;	;	PUNCT
gsjp-14087	6	45	gross	gross	ADJ
gsjp-14087	6	46	,	,	PUNCT
gsjp-14087	6	47	2015	2015	NUM
gsjp-14087	6	48	;	;	PUNCT
gsjp-14087	6	49	hubbard	hubbard	PROPN
gsjp-14087	6	50	et	et	PROPN
gsjp-14087	6	51	al	al	PROPN
gsjp-14087	6	52	.	.	PROPN
gsjp-14087	6	53	,	,	PUNCT
gsjp-14087	6	54	2016	2016	NUM
gsjp-14087	6	55	)	)	PUNCT
gsjp-14087	6	56	.	.	PUNCT
gsjp-14087	7	1	given	give	VERB
gsjp-14087	7	2	that	that	DET
gsjp-14087	7	3	emotion	emotion	NOUN
gsjp-14087	7	4	and	and	CCONJ
gsjp-14087	7	5	cognition	cognition	NOUN
gsjp-14087	7	6	interact	interact	VERB
gsjp-14087	7	7	to	to	PART
gsjp-14087	7	8	impact	impact	NOUN
gsjp-14087	7	9	behavior	behavior	NOUN
gsjp-14087	7	10	,	,	PUNCT
gsjp-14087	7	11	it	it	PRON
gsjp-14087	7	12	is	be	AUX
gsjp-14087	7	13	necessary	necessary	ADJ
gsjp-14087	7	14	for	for	SCONJ
gsjp-14087	7	15	experimental	experimental	ADJ
gsjp-14087	7	16	researchers	researcher	NOUN
gsjp-14087	7	17	to	to	PART
gsjp-14087	7	18	consider	consider	VERB
gsjp-14087	7	19	how	how	SCONJ
gsjp-14087	7	20	this	this	DET
gsjp-14087	7	21	interaction	interaction	NOUN
gsjp-14087	7	22	may	may	AUX
gsjp-14087	7	23	impact	impact	VERB
gsjp-14087	7	24	the	the	DET
gsjp-14087	7	25	quality	quality	NOUN
gsjp-14087	7	26	of	of	ADP
gsjp-14087	7	27	self	self	NOUN
gsjp-14087	7	28	-	-	PUNCT
gsjp-14087	7	29	report	report	NOUN
gsjp-14087	7	30	data	datum	NOUN
gsjp-14087	7	31	in	in	ADP
gsjp-14087	7	32	various	various	ADJ
gsjp-14087	7	33	contexts	contexts	NOUN
gsjp-14087	7	34	.	.	PUNCT
gsjp-14087	8	1	for	for	ADP
gsjp-14087	8	2	example	example	NOUN
gsjp-14087	8	3	,	,	PUNCT
gsjp-14087	8	4	research	research	NOUN
gsjp-14087	8	5	indicates	indicate	VERB
gsjp-14087	8	6	that	that	SCONJ
gsjp-14087	8	7	individuals	individual	NOUN
gsjp-14087	8	8	with	with	ADP
gsjp-14087	8	9	greater	great	ADJ
gsjp-14087	8	10	levels	level	NOUN
gsjp-14087	8	11	of	of	ADP
gsjp-14087	8	12	emotional	emotional	ADJ
gsjp-14087	8	13	distress	distress	NOUN
gsjp-14087	8	14	have	have	VERB
gsjp-14087	8	15	biases	bias	NOUN
gsjp-14087	8	16	in	in	ADP
gsjp-14087	8	17	their	their	PRON
gsjp-14087	8	18	self	self	NOUN
gsjp-14087	8	19	-	-	PUNCT
gsjp-14087	8	20	report	report	NOUN
gsjp-14087	8	21	data	datum	NOUN
gsjp-14087	8	22	linked	link	VERB
gsjp-14087	8	23	to	to	ADP
gsjp-14087	8	24	this	this	DET
gsjp-14087	8	25	level	level	NOUN
gsjp-14087	8	26	of	of	ADP
gsjp-14087	8	27	emotionality	emotionality	NOUN
gsjp-14087	8	28	(	(	PUNCT
gsjp-14087	8	29	ashley	ashley	PROPN
gsjp-14087	8	30	&	&	CCONJ
gsjp-14087	8	31	shaughnessy	shaughnessy	PROPN
gsjp-14087	8	32	,	,	PUNCT
gsjp-14087	8	33	2021	2021	NUM
gsjp-14087	8	34	;	;	PUNCT
gsjp-14087	8	35	conijn	conijn	NOUN
gsjp-14087	8	36	et	et	PROPN
gsjp-14087	8	37	al	al	PROPN
gsjp-14087	8	38	.	.	PROPN
gsjp-14087	8	39	,	,	PUNCT
gsjp-14087	8	40	2020	2020	NUM
gsjp-14087	8	41	)	)	PUNCT
gsjp-14087	8	42	.	.	PUNCT
gsjp-14087	9	1	furthermore	furthermore	ADV
gsjp-14087	9	2	,	,	PUNCT
gsjp-14087	9	3	researchers	researcher	NOUN
gsjp-14087	9	4	are	be	AUX
gsjp-14087	9	5	often	often	ADV
gsjp-14087	9	6	interested	interested	ADJ
gsjp-14087	9	7	in	in	ADP
gsjp-14087	9	8	measuring	measure	VERB
gsjp-14087	9	9	emotion	emotion	NOUN
gsjp-14087	9	10	itself	itself	PRON
gsjp-14087	9	11	.	.	PUNCT
gsjp-14087	10	1	the	the	DET
gsjp-14087	10	2	profile	profile	NOUN
gsjp-14087	10	3	of	of	ADP
gsjp-14087	10	4	mood	mood	NOUN
gsjp-14087	10	5	states	state	NOUN
gsjp-14087	10	6	(	(	PUNCT
gsjp-14087	10	7	poms	pom	NOUN
gsjp-14087	10	8	;	;	PUNCT
gsjp-14087	10	9	mcnair	mcnair	PROPN
gsjp-14087	10	10	et	et	PROPN
gsjp-14087	10	11	al	al	PROPN
gsjp-14087	10	12	.	.	PROPN
gsjp-14087	10	13	,	,	PUNCT
gsjp-14087	10	14	1971	1971	NUM
gsjp-14087	10	15	)	)	PUNCT
gsjp-14087	10	16	,	,	PUNCT
gsjp-14087	10	17	the	the	DET
gsjp-14087	10	18	multiple	multiple	NOUN
gsjp-14087	10	19	affect	affect	VERB
gsjp-14087	10	20	adjective	adjective	ADJ
gsjp-14087	10	21	checklist	checklist	NOUN
gsjp-14087	10	22	(	(	PUNCT
gsjp-14087	10	23	maacl	maacl	PROPN
gsjp-14087	10	24	;	;	PUNCT
gsjp-14087	10	25	zuckerman	zuckerman	PROPN
gsjp-14087	10	26	&	&	CCONJ
gsjp-14087	10	27	lubin	lubin	PROPN
gsjp-14087	10	28	,	,	PUNCT
gsjp-14087	10	29	1985	1985	NUM
gsjp-14087	10	30	)	)	PUNCT
gsjp-14087	10	31	,	,	PUNCT
gsjp-14087	10	32	the	the	DET
gsjp-14087	10	33	positive	positive	ADJ
gsjp-14087	10	34	and	and	CCONJ
gsjp-14087	10	35	negative	negative	ADJ
gsjp-14087	10	36	affect	affect	NOUN
gsjp-14087	10	37	scale	scale	NOUN
gsjp-14087	10	38	(	(	PUNCT
gsjp-14087	10	39	panas	panas	PROPN
gsjp-14087	10	40	-	-	PUNCT
gsjp-14087	10	41	x	x	PROPN
gsjp-14087	10	42	;	;	PUNCT
gsjp-14087	10	43	watson	watson	PROPN
gsjp-14087	10	44	&	&	CCONJ
gsjp-14087	10	45	clark	clark	PROPN
gsjp-14087	10	46	,	,	PUNCT
gsjp-14087	10	47	1994	1994	NUM
gsjp-14087	10	48	)	)	PUNCT
gsjp-14087	10	49	,	,	PUNCT
gsjp-14087	10	50	and	and	CCONJ
gsjp-14087	10	51	the	the	DET
gsjp-14087	10	52	depression	depression	NOUN
gsjp-14087	10	53	anxiety	anxiety	NOUN
gsjp-14087	10	54	and	and	CCONJ
gsjp-14087	10	55	stress	stress	NOUN
gsjp-14087	10	56	scale	scale	NOUN
gsjp-14087	10	57	(	(	PUNCT
gsjp-14087	10	58	dass-42	dass-42	PROPN
gsjp-14087	10	59	;	;	PUNCT
gsjp-14087	10	60	antony	antony	PROPN
gsjp-14087	10	61	et	et	PROPN
gsjp-14087	10	62	al	al	PROPN
gsjp-14087	10	63	.	.	PROPN
gsjp-14087	10	64	,	,	PUNCT
gsjp-14087	10	65	1998	1998	NUM
gsjp-14087	10	66	)	)	PUNCT
gsjp-14087	10	67	are	be	AUX
gsjp-14087	10	68	frequently	frequently	ADV
gsjp-14087	10	69	used	use	VERB
gsjp-14087	10	70	self	self	NOUN
gsjp-14087	10	71	-	-	PUNCT
gsjp-14087	10	72	reports	report	NOUN
gsjp-14087	10	73	that	that	PRON
gsjp-14087	10	74	measure	measure	VERB
gsjp-14087	10	75	various	various	ADJ
gsjp-14087	10	76	aspects	aspect	NOUN
gsjp-14087	10	77	of	of	ADP
gsjp-14087	10	78	emotional	emotional	ADJ
gsjp-14087	10	79	states	state	NOUN
gsjp-14087	10	80	.	.	PUNCT
gsjp-14087	11	1	when	when	SCONJ
gsjp-14087	11	2	a	a	DET
gsjp-14087	11	3	participant	participant	NOUN
gsjp-14087	11	4	completes	complete	VERB
gsjp-14087	11	5	such	such	ADJ
gsjp-14087	11	6	self	self	NOUN
gsjp-14087	11	7	-	-	PUNCT
gsjp-14087	11	8	reports	report	NOUN
gsjp-14087	11	9	,	,	PUNCT
gsjp-14087	11	10	they	they	PRON
gsjp-14087	11	11	are	be	AUX
gsjp-14087	11	12	engaging	engage	VERB
gsjp-14087	11	13	in	in	ADP
gsjp-14087	11	14	a	a	DET
gsjp-14087	11	15	cognitive	cognitive	ADJ
gsjp-14087	11	16	task	task	NOUN
gsjp-14087	11	17	(	(	PUNCT
gsjp-14087	11	18	i.e.	i.e.	X
gsjp-14087	11	19	,	,	PUNCT
gsjp-14087	11	20	completing	complete	VERB
gsjp-14087	11	21	the	the	DET
gsjp-14087	11	22	survey	survey	NOUN
gsjp-14087	11	23	itself	itself	PRON
gsjp-14087	11	24	)	)	PUNCT
gsjp-14087	11	25	that	that	PRON
gsjp-14087	11	26	involves	involve	VERB
gsjp-14087	11	27	emotional	emotional	ADJ
gsjp-14087	11	28	content	content	NOUN
gsjp-14087	11	29	(	(	PUNCT
gsjp-14087	11	30	i.e.	i.e.	X
gsjp-14087	11	31	,	,	PUNCT
gsjp-14087	11	32	the	the	DET
gsjp-14087	11	33	item	item	NOUN
gsjp-14087	11	34	content	content	PROPN
gsjp-14087	11	35	)	)	PUNCT
gsjp-14087	11	36	which	which	PRON
gsjp-14087	11	37	may	may	AUX
gsjp-14087	11	38	interact	interact	VERB
gsjp-14087	11	39	with	with	ADP
gsjp-14087	11	40	or	or	CCONJ
gsjp-14087	11	41	influence	influence	VERB
gsjp-14087	11	42	the	the	DET
gsjp-14087	11	43	emotional	emotional	ADJ
gsjp-14087	11	44	or	or	CCONJ
gsjp-14087	11	45	cognitive	cognitive	ADJ
gsjp-14087	11	46	state	state	NOUN
gsjp-14087	11	47	of	of	ADP
gsjp-14087	11	48	the	the	DET
gsjp-14087	11	49	participant	participant	NOUN
gsjp-14087	11	50	,	,	PUNCT
gsjp-14087	11	51	such	such	ADJ
gsjp-14087	11	52	as	as	ADP
gsjp-14087	11	53	instigating	instigate	VERB
gsjp-14087	11	54	a	a	DET
gsjp-14087	11	55	heightened	heightened	ADJ
gsjp-14087	11	56	emotional	emotional	ADJ
gsjp-14087	11	57	response	response	NOUN
gsjp-14087	11	58	or	or	CCONJ
gsjp-14087	11	59	engagement	engagement	NOUN
gsjp-14087	11	60	in	in	ADP
gsjp-14087	11	61	emotional	emotional	ADJ
gsjp-14087	11	62	regulation	regulation	NOUN
gsjp-14087	11	63	strategies	strategy	NOUN
gsjp-14087	11	64	(	(	PUNCT
gsjp-14087	11	65	castaneda	castaneda	PROPN
gsjp-14087	11	66	et	et	PROPN
gsjp-14087	11	67	al	al	PROPN
gsjp-14087	11	68	.	.	PROPN
gsjp-14087	11	69	,	,	PUNCT
gsjp-14087	11	70	2008	2008	NUM
gsjp-14087	11	71	;	;	PUNCT
gsjp-14087	11	72	gotlib	gotlib	X
gsjp-14087	11	73	&	&	CCONJ
gsjp-14087	11	74	joormann	joormann	PROPN
gsjp-14087	11	75	,	,	PUNCT
gsjp-14087	11	76	2010	2010	NUM
gsjp-14087	11	77	;	;	PUNCT
gsjp-14087	11	78	gross	gross	ADJ
gsjp-14087	11	79	,	,	PUNCT
gsjp-14087	11	80	2015	2015	NUM
gsjp-14087	11	81	;	;	PUNCT
gsjp-14087	11	82	hubbard	hubbard	PROPN
gsjp-14087	11	83	et	et	PROPN
gsjp-14087	11	84	al	al	PROPN
gsjp-14087	11	85	.	.	PROPN
gsjp-14087	11	86	,	,	PUNCT
gsjp-14087	11	87	2016	2016	NUM
gsjp-14087	11	88	;	;	PUNCT
gsjp-14087	11	89	sun	sun	PROPN
gsjp-14087	11	90	&	&	CCONJ
gsjp-14087	11	91	alkon	alkon	PROPN
gsjp-14087	11	92	,	,	PUNCT
gsjp-14087	11	93	2014	2014	NUM
gsjp-14087	11	94	)	)	PUNCT
gsjp-14087	11	95	.	.	PUNCT
gsjp-14087	12	1	despite	despite	SCONJ
gsjp-14087	12	2	recent	recent	ADJ
gsjp-14087	12	3	research	research	NOUN
gsjp-14087	12	4	,	,	PUNCT
gsjp-14087	12	5	gaps	gap	NOUN
gsjp-14087	12	6	exist	exist	VERB
gsjp-14087	12	7	in	in	ADP
gsjp-14087	12	8	our	our	PRON
gsjp-14087	12	9	understanding	understanding	NOUN
gsjp-14087	12	10	of	of	ADP
gsjp-14087	12	11	how	how	SCONJ
gsjp-14087	12	12	emotion	emotion	NOUN
gsjp-14087	12	13	and	and	CCONJ
gsjp-14087	12	14	cognition	cognition	NOUN
gsjp-14087	12	15	interact	interact	VERB
gsjp-14087	12	16	to	to	PART
gsjp-14087	12	17	impact	impact	VERB
gsjp-14087	12	18	response	response	NOUN
gsjp-14087	12	19	behavior	behavior	NOUN
gsjp-14087	12	20	on	on	ADP
gsjp-14087	12	21	surveys	survey	NOUN
gsjp-14087	12	22	.	.	PUNCT
gsjp-14087	13	1	cognitive	cognitive	ADJ
gsjp-14087	13	2	symptoms	symptom	NOUN
gsjp-14087	13	3	of	of	ADP
gsjp-14087	13	4	emotional	emotional	ADJ
gsjp-14087	13	5	distress	distress	NOUN
gsjp-14087	13	6	can	can	AUX
gsjp-14087	13	7	impact	impact	VERB
gsjp-14087	13	8	data	datum	NOUN
gsjp-14087	13	9	quality	quality	NOUN
gsjp-14087	13	10	on	on	ADP
gsjp-14087	13	11	self	self	NOUN
gsjp-14087	13	12	-	-	PUNCT
gsjp-14087	13	13	report	report	NOUN
gsjp-14087	13	14	measures	measure	NOUN
gsjp-14087	13	15	.	.	PUNCT
gsjp-14087	14	1	self	self	NOUN
gsjp-14087	14	2	-	-	PUNCT
gsjp-14087	14	3	report	report	NOUN
gsjp-14087	14	4	surveys	survey	NOUN
gsjp-14087	14	5	require	require	VERB
gsjp-14087	14	6	a	a	DET
gsjp-14087	14	7	degree	degree	NOUN
gsjp-14087	14	8	of	of	ADP
gsjp-14087	14	9	effort	effort	NOUN
gsjp-14087	14	10	to	to	PART
gsjp-14087	14	11	complete	complete	VERB
gsjp-14087	14	12	,	,	PUNCT
gsjp-14087	14	13	and	and	CCONJ
gsjp-14087	14	14	factors	factor	NOUN
gsjp-14087	14	15	that	that	PRON
gsjp-14087	14	16	compromise	compromise	VERB
gsjp-14087	14	17	sustained	sustained	ADJ
gsjp-14087	14	18	effort	effort	NOUN
gsjp-14087	14	19	may	may	AUX
gsjp-14087	14	20	impact	impact	VERB
gsjp-14087	14	21	survey	survey	NOUN
gsjp-14087	14	22	response	response	NOUN
gsjp-14087	14	23	styles	style	NOUN
gsjp-14087	14	24	.	.	PUNCT
gsjp-14087	15	1	several	several	ADJ
gsjp-14087	15	2	theoretical	theoretical	ADJ
gsjp-14087	15	3	models	model	NOUN
gsjp-14087	15	4	have	have	AUX
gsjp-14087	15	5	been	be	AUX
gsjp-14087	15	6	applied	apply	VERB
gsjp-14087	15	7	to	to	PART
gsjp-14087	15	8	understand	understand	VERB
gsjp-14087	15	9	the	the	DET
gsjp-14087	15	10	relationship	relationship	NOUN
gsjp-14087	15	11	between	between	ADP
gsjp-14087	15	12	emotion	emotion	NOUN
gsjp-14087	15	13	and	and	CCONJ
gsjp-14087	15	14	cognition	cognition	NOUN
gsjp-14087	15	15	in	in	ADP
gsjp-14087	15	16	response	response	NOUN
gsjp-14087	15	17	behavior	behavior	NOUN
gsjp-14087	15	18	.	.	PUNCT
gsjp-14087	16	1	for	for	ADP
gsjp-14087	16	2	example	example	NOUN
gsjp-14087	16	3	,	,	PUNCT
gsjp-14087	16	4	cognitive	cognitive	ADJ
gsjp-14087	16	5	bias	bias	NOUN
gsjp-14087	16	6	literature	literature	NOUN
gsjp-14087	16	7	suggests	suggest	VERB
gsjp-14087	16	8	that	that	SCONJ
gsjp-14087	16	9	mood	mood	NOUN
gsjp-14087	16	10	-	-	PUNCT
gsjp-14087	16	11	congruent	congruent	ADJ
gsjp-14087	16	12	information	information	NOUN
gsjp-14087	16	13	increases	increase	VERB
gsjp-14087	16	14	working	work	VERB
gsjp-14087	16	15	memory	memory	NOUN
gsjp-14087	16	16	in	in	ADP
gsjp-14087	16	17	depressed	depressed	ADJ
gsjp-14087	16	18	individuals	individual	NOUN
gsjp-14087	16	19	;	;	PUNCT
gsjp-14087	16	20	that	that	PRON
gsjp-14087	16	21	is	is	ADV
gsjp-14087	16	22	,	,	PUNCT
gsjp-14087	16	23	they	they	PRON
gsjp-14087	16	24	have	have	VERB
gsjp-14087	16	25	a	a	DET
gsjp-14087	16	26	bias	bias	NOUN
gsjp-14087	16	27	to	to	PART
gsjp-14087	16	28	pay	pay	VERB
gsjp-14087	16	29	attention	attention	NOUN
gsjp-14087	16	30	to	to	ADP
gsjp-14087	16	31	information	information	NOUN
gsjp-14087	16	32	that	that	PRON
gsjp-14087	16	33	reaffirms	reaffirm	VERB
gsjp-14087	16	34	their	their	PRON
gsjp-14087	16	35	depressive	depressive	ADJ
gsjp-14087	16	36	cognitions	cognition	NOUN
gsjp-14087	16	37	(	(	PUNCT
gsjp-14087	16	38	hubbard	hubbard	PROPN
gsjp-14087	16	39	et	et	PROPN
gsjp-14087	16	40	al	al	PROPN
gsjp-14087	16	41	.	.	PROPN
gsjp-14087	16	42	,	,	PUNCT
gsjp-14087	16	43	2016	2016	NUM
gsjp-14087	16	44	)	)	PUNCT
gsjp-14087	16	45	.	.	PUNCT
gsjp-14087	17	1	however	however	ADV
gsjp-14087	17	2	,	,	PUNCT
gsjp-14087	17	3	drawing	draw	VERB
gsjp-14087	17	4	on	on	ADP
gsjp-14087	17	5	cognitive	cognitive	ADJ
gsjp-14087	17	6	behavioral	behavioral	ADJ
gsjp-14087	17	7	theory	theory	NOUN
gsjp-14087	17	8	,	,	PUNCT
gsjp-14087	17	9	ashley	ashley	NOUN
gsjp-14087	17	10	and	and	CCONJ
gsjp-14087	17	11	shaughnessy	shaughnessy	PROPN
gsjp-14087	17	12	(	(	PUNCT
gsjp-14087	17	13	2021	2021	NUM
gsjp-14087	17	14	)	)	PUNCT
gsjp-14087	17	15	proposed	propose	VERB
gsjp-14087	17	16	that	that	SCONJ
gsjp-14087	17	17	individuals	individual	NOUN
gsjp-14087	17	18	with	with	ADP
gsjp-14087	17	19	depression	depression	NOUN
gsjp-14087	17	20	engage	engage	VERB
gsjp-14087	17	21	in	in	ADP
gsjp-14087	17	22	avoidance	avoidance	NOUN
gsjp-14087	17	23	behaviors	behavior	NOUN
gsjp-14087	17	24	when	when	SCONJ
gsjp-14087	17	25	completing	complete	VERB
gsjp-14087	17	26	surveys	survey	NOUN
gsjp-14087	17	27	,	,	PUNCT
gsjp-14087	17	28	adopting	adopt	VERB
gsjp-14087	17	29	strategies	strategy	NOUN
gsjp-14087	17	30	that	that	PRON
gsjp-14087	17	31	people	people	NOUN
gsjp-14087	17	32	experiencing	experience	VERB
gsjp-14087	17	33	emotional	emotional	ADJ
gsjp-14087	17	34	distress	distress	NOUN
gsjp-14087	17	35	struggle	struggle	NOUN
gsjp-14087	17	36	with	with	ADP
gsjp-14087	17	37	cognitive	cognitive	ADJ
gsjp-14087	17	38	and	and	CCONJ
gsjp-14087	17	39	motivational	motivational	ADJ
gsjp-14087	17	40	decline	decline	NOUN
gsjp-14087	17	41	,	,	PUNCT
gsjp-14087	17	42	which	which	PRON
gsjp-14087	17	43	has	have	AUX
gsjp-14087	17	44	been	be	AUX
gsjp-14087	17	45	correlated	correlate	VERB
gsjp-14087	17	46	with	with	ADP
gsjp-14087	17	47	patterns	pattern	NOUN
gsjp-14087	17	48	of	of	ADP
gsjp-14087	17	49	careless	careless	ADJ
gsjp-14087	17	50	responding	responding	NOUN
gsjp-14087	17	51	.	.	PUNCT
gsjp-14087	18	1	although	although	SCONJ
gsjp-14087	18	2	several	several	ADJ
gsjp-14087	18	3	methods	method	NOUN
gsjp-14087	18	4	have	have	AUX
gsjp-14087	18	5	been	be	AUX
gsjp-14087	18	6	used	use	VERB
gsjp-14087	18	7	to	to	PART
gsjp-14087	18	8	detect	detect	VERB
gsjp-14087	18	9	careless	careless	ADJ
gsjp-14087	18	10	responses	response	NOUN
gsjp-14087	18	11	in	in	ADP
gsjp-14087	18	12	emotionally	emotionally	ADV
gsjp-14087	18	13	distressed	distressed	ADJ
gsjp-14087	18	14	respondents	respondent	NOUN
gsjp-14087	18	15	,	,	PUNCT
gsjp-14087	18	16	the	the	DET
gsjp-14087	18	17	response	response	NOUN
gsjp-14087	18	18	time	time	NOUN
gsjp-14087	18	19	has	have	AUX
gsjp-14087	18	20	not	not	PART
gsjp-14087	18	21	been	be	AUX
gsjp-14087	18	22	widely	widely	ADV
gsjp-14087	18	23	explored	explore	VERB
gsjp-14087	18	24	.	.	PUNCT
gsjp-14087	19	1	the	the	DET
gsjp-14087	19	2	current	current	ADJ
gsjp-14087	19	3	study	study	NOUN
gsjp-14087	19	4	conducted	conduct	VERB
gsjp-14087	19	5	secondary	secondary	ADJ
gsjp-14087	19	6	data	datum	NOUN
gsjp-14087	19	7	analyses	analysis	NOUN
gsjp-14087	19	8	on	on	ADP
gsjp-14087	19	9	a	a	DET
gsjp-14087	19	10	sample	sample	NOUN
gsjp-14087	19	11	(	(	PUNCT
gsjp-14087	19	12	n	n	NOUN
gsjp-14087	19	13	=	=	NUM
gsjp-14087	19	14	37,819	37,819	NUM
gsjp-14087	19	15	)	)	PUNCT
gsjp-14087	19	16	who	who	PRON
gsjp-14087	19	17	completed	complete	VERB
gsjp-14087	19	18	the	the	DET
gsjp-14087	19	19	depression	depression	NOUN
gsjp-14087	19	20	anxiety	anxiety	NOUN
gsjp-14087	19	21	stress	stress	NOUN
gsjp-14087	19	22	scale	scale	NOUN
gsjp-14087	19	23	(	(	PUNCT
gsjp-14087	19	24	dass-42	dass-42	PROPN
gsjp-14087	19	25	)	)	PUNCT
gsjp-14087	19	26	in	in	ADP
gsjp-14087	19	27	an	an	DET
gsjp-14087	19	28	online	online	ADJ
gsjp-14087	19	29	survey	survey	NOUN
gsjp-14087	19	30	between	between	ADP
gsjp-14087	19	31	2017	2017	NUM
gsjp-14087	19	32	and	and	CCONJ
gsjp-14087	19	33	2019	2019	NUM
gsjp-14087	19	34	.	.	PUNCT
gsjp-14087	20	1	first	first	ADV
gsjp-14087	20	2	,	,	PUNCT
gsjp-14087	20	3	a	a	DET
gsjp-14087	20	4	response	response	NOUN
gsjp-14087	20	5	-	-	PUNCT
gsjp-14087	20	6	time	time	NOUN
gsjp-14087	20	7	-	-	PUNCT
gsjp-14087	20	8	based	base	VERB
gsjp-14087	20	9	approach––a	approach––a	NOUN
gsjp-14087	20	10	normative	normative	ADJ
gsjp-14087	20	11	threshold	threshold	NOUN
gsjp-14087	20	12	method––was	method––was	ADV
gsjp-14087	20	13	used	use	VERB
gsjp-14087	20	14	to	to	PART
gsjp-14087	20	15	identify	identify	VERB
gsjp-14087	20	16	careless	careless	ADJ
gsjp-14087	20	17	responding	respond	VERB
gsjp-14087	20	18	and	and	CCONJ
gsjp-14087	20	19	examine	examine	VERB
gsjp-14087	20	20	its	its	PRON
gsjp-14087	20	21	association	association	NOUN
gsjp-14087	20	22	with	with	ADP
gsjp-14087	20	23	emotional	emotional	ADJ
gsjp-14087	20	24	distress	distress	NOUN
gsjp-14087	20	25	using	use	VERB
gsjp-14087	20	26	the	the	DET
gsjp-14087	20	27	dass-42	dass-42	PROPN
gsjp-14087	20	28	.	.	PROPN
gsjp-14087	20	29	second	second	PROPN
gsjp-14087	20	30	,	,	PUNCT
gsjp-14087	20	31	four	four	NUM
gsjp-14087	20	32	machine	machine	NOUN
gsjp-14087	20	33	learning	learn	VERB
gsjp-14087	20	34	models––decision	models––decision	PROPN
gsjp-14087	20	35	tree	tree	NOUN
gsjp-14087	20	36	(	(	PUNCT
gsjp-14087	20	37	dt	dt	PROPN
gsjp-14087	20	38	)	)	PUNCT
gsjp-14087	20	39	,	,	PUNCT
gsjp-14087	20	40	random	random	ADJ
gsjp-14087	20	41	forest	forest	NOUN
gsjp-14087	20	42	(	(	PUNCT
gsjp-14087	20	43	rf	rf	NOUN
gsjp-14087	20	44	)	)	PUNCT
gsjp-14087	20	45	,	,	PUNCT
gsjp-14087	20	46	support	support	NOUN
gsjp-14087	20	47	vector	vector	NOUN
gsjp-14087	20	48	machine	machine	NOUN
gsjp-14087	20	49	(	(	PUNCT
gsjp-14087	20	50	svm	svm	PROPN
gsjp-14087	20	51	)	)	PUNCT
gsjp-14087	20	52	,	,	PUNCT
gsjp-14087	20	53	and	and	CCONJ
gsjp-14087	20	54	naive	naive	ADJ
gsjp-14087	20	55	bayes	bayes	NOUN
gsjp-14087	20	56	(	(	PUNCT
gsjp-14087	20	57	nb)––were	nb)––were	ADV
gsjp-14087	20	58	trained	train	VERB
gsjp-14087	20	59	on	on	ADP
gsjp-14087	20	60	dass-42	dass-42	PROPN
gsjp-14087	20	61	item	item	NOUN
gsjp-14087	20	62	responses	response	NOUN
gsjp-14087	20	63	and	and	CCONJ
gsjp-14087	20	64	response	response	NOUN
gsjp-14087	20	65	times	time	NOUN
gsjp-14087	20	66	to	to	PART
gsjp-14087	20	67	predict	predict	VERB
gsjp-14087	20	68	emotional	emotional	ADJ
gsjp-14087	20	69	distress	distress	NOUN
gsjp-14087	20	70	severity	severity	NOUN
gsjp-14087	20	71	level	level	NOUN
gsjp-14087	20	72	.	.	PUNCT
gsjp-14087	21	1	a	a	DET
gsjp-14087	21	2	significant	significant	ADJ
gsjp-14087	21	3	correlation	correlation	NOUN
gsjp-14087	21	4	was	be	AUX
gsjp-14087	21	5	found	find	VERB
gsjp-14087	21	6	between	between	ADP
gsjp-14087	21	7	the	the	DET
gsjp-14087	21	8	number	number	NOUN
gsjp-14087	21	9	of	of	ADP
gsjp-14087	21	10	careless	careless	ADJ
gsjp-14087	21	11	responses	response	NOUN
gsjp-14087	21	12	and	and	CCONJ
gsjp-14087	21	13	subscale	subscale	ADJ
gsjp-14087	21	14	scores	score	NOUN
gsjp-14087	21	15	of	of	ADP
gsjp-14087	21	16	anxiety	anxiety	NOUN
gsjp-14087	21	17	and	and	CCONJ
gsjp-14087	21	18	stress	stress	NOUN
gsjp-14087	21	19	.	.	PUNCT
gsjp-14087	22	1	in	in	ADP
gsjp-14087	22	2	addition	addition	NOUN
gsjp-14087	22	3	,	,	PUNCT
gsjp-14087	22	4	mann	mann	PROPN
gsjp-14087	22	5	-	-	PUNCT
gsjp-14087	22	6	whitney	whitney	PROPN
gsjp-14087	22	7	u	u	NOUN
gsjp-14087	22	8	tests	test	NOUN
gsjp-14087	22	9	showed	show	VERB
gsjp-14087	22	10	statistically	statistically	ADV
gsjp-14087	22	11	significant	significant	ADJ
gsjp-14087	22	12	differences	difference	NOUN
gsjp-14087	22	13	between	between	ADP
gsjp-14087	22	14	careless	careless	ADJ
gsjp-14087	22	15	and	and	CCONJ
gsjp-14087	22	16	careful	careful	ADJ
gsjp-14087	22	17	responders	responder	NOUN
gsjp-14087	22	18	in	in	ADP
gsjp-14087	22	19	depression	depression	NOUN
gsjp-14087	22	20	,	,	PUNCT
gsjp-14087	22	21	anxiety	anxiety	NOUN
gsjp-14087	22	22	,	,	PUNCT
gsjp-14087	22	23	and	and	CCONJ
gsjp-14087	22	24	stress	stress	NOUN
gsjp-14087	22	25	.	.	PUNCT
gsjp-14087	23	1	regarding	regard	VERB
gsjp-14087	23	2	the	the	DET
gsjp-14087	23	3	machine	machine	NOUN
gsjp-14087	23	4	learning	learning	NOUN
gsjp-14087	23	5	models	model	NOUN
gsjp-14087	23	6	,	,	PUNCT
gsjp-14087	23	7	svm	svm	PROPN
gsjp-14087	23	8	was	be	AUX
gsjp-14087	23	9	found	find	VERB
gsjp-14087	23	10	to	to	PART
gsjp-14087	23	11	be	be	AUX
gsjp-14087	23	12	the	the	DET
gsjp-14087	23	13	best	good	ADJ
gsjp-14087	23	14	predictive	predictive	ADJ
gsjp-14087	23	15	model	model	NOUN
gsjp-14087	23	16	for	for	ADP
gsjp-14087	23	17	classifying	classify	VERB
gsjp-14087	23	18	distressed	distressed	ADJ
gsjp-14087	23	19	people	people	NOUN
gsjp-14087	23	20	with	with	ADP
gsjp-14087	23	21	an	an	DET
gsjp-14087	23	22	accuracy	accuracy	NOUN
gsjp-14087	23	23	,	,	PUNCT
gsjp-14087	23	24	sensitivity	sensitivity	NOUN
gsjp-14087	23	25	,	,	PUNCT
gsjp-14087	23	26	and	and	CCONJ
gsjp-14087	23	27	specificity	specificity	NOUN
gsjp-14087	23	28	exceeding	exceed	VERB
gsjp-14087	23	29	90	90	NUM
gsjp-14087	23	30	%	%	NOUN
gsjp-14087	23	31	.	.	PUNCT
gsjp-14087	24	1	our	our	PRON
gsjp-14087	24	2	results	result	NOUN
gsjp-14087	24	3	suggest	suggest	VERB
gsjp-14087	24	4	that	that	SCONJ
gsjp-14087	24	5	,	,	PUNCT
gsjp-14087	24	6	in	in	ADP
gsjp-14087	24	7	addition	addition	NOUN
gsjp-14087	24	8	to	to	ADP
gsjp-14087	24	9	survey	survey	VERB
gsjp-14087	24	10	responses	response	NOUN
gsjp-14087	24	11	,	,	PUNCT
gsjp-14087	24	12	response	response	NOUN
gsjp-14087	24	13	time	time	NOUN
gsjp-14087	24	14	can	can	AUX
gsjp-14087	24	15	identify	identify	VERB
gsjp-14087	24	16	careless	careless	ADJ
gsjp-14087	24	17	responders	responder	NOUN
gsjp-14087	24	18	and	and	CCONJ
gsjp-14087	24	19	predict	predict	VERB
gsjp-14087	24	20	distressed	distressed	ADJ
gsjp-14087	24	21	responders	responder	NOUN
gsjp-14087	24	22	.	.	PUNCT
gsjp-14087	25	1	keywords	keyword	NOUN
gsjp-14087	25	2	:	:	PUNCT
gsjp-14087	25	3	response	response	NOUN
gsjp-14087	25	4	time	time	NOUN
gsjp-14087	25	5	,	,	PUNCT
gsjp-14087	25	6	machine	machine	NOUN
gsjp-14087	25	7	learning	learning	NOUN
gsjp-14087	25	8	,	,	PUNCT
gsjp-14087	25	9	psychological	psychological	ADJ
gsjp-14087	25	10	distress	distress	NOUN
gsjp-14087	25	11	,	,	PUNCT
gsjp-14087	25	12	careless	careless	ADJ
gsjp-14087	25	13	responding	respond	VERB
gsjp-14087	25	14	graduate	graduate	NOUN
gsjp-14087	25	15	student	student	NOUN
gsjp-14087	25	16	journal	journal	NOUN
gsjp-14087	25	17	of	of	ADP
gsjp-14087	25	18	psychology	psychology	NOUN
gsjp-14087	25	19	fall	fall	VERB
gsjp-14087	25	20	2025	2025	NUM
gsjp-14087	25	21	vol	vol	NOUN
gsjp-14087	25	22	.	.	PUNCT
gsjp-14087	26	1	25	25	NUM
gsjp-14087	26	2	copyright	copyright	NOUN
gsjp-14087	26	3	2025	2025	NUM
gsjp-14087	26	4	by	by	ADP
gsjp-14087	26	5	the	the	DET
gsjp-14087	26	6	department	department	NOUN
gsjp-14087	26	7	of	of	ADP
gsjp-14087	26	8	counseling	counseling	NOUN
gsjp-14087	26	9	and	and	CCONJ
gsjp-14087	26	10	clinical	clinical	ADJ
gsjp-14087	26	11	psychology	psychology	NOUN
gsjp-14087	26	12	teachers	teachers	PROPN
gsjp-14087	26	13	college	college	PROPN
gsjp-14087	26	14	,	,	PUNCT
gsjp-14087	26	15	columbia	columbia	PROPN
gsjp-14087	26	16	university	university	PROPN
gsjp-14087	26	17	73	73	NUM
gsjp-14087	26	18	reduce	reduce	VERB
gsjp-14087	26	19	the	the	DET
gsjp-14087	26	20	impact	impact	NOUN
gsjp-14087	26	21	of	of	ADP
gsjp-14087	26	22	distressing	distressing	ADJ
gsjp-14087	26	23	survey	survey	NOUN
gsjp-14087	26	24	content	content	NOUN
gsjp-14087	26	25	by	by	ADP
gsjp-14087	26	26	minimizing	minimize	VERB
gsjp-14087	26	27	effort	effort	NOUN
gsjp-14087	26	28	,	,	PUNCT
gsjp-14087	26	29	attention	attention	NOUN
gsjp-14087	26	30	,	,	PUNCT
gsjp-14087	26	31	and	and	CCONJ
gsjp-14087	26	32	time	time	NOUN
gsjp-14087	26	33	to	to	ADP
gsjp-14087	26	34	completion	completion	NOUN
gsjp-14087	26	35	.	.	PUNCT
gsjp-14087	27	1	this	this	PRON
gsjp-14087	27	2	calls	call	VERB
gsjp-14087	27	3	into	into	ADP
gsjp-14087	27	4	question	question	NOUN
gsjp-14087	27	5	whether	whether	SCONJ
gsjp-14087	27	6	self	self	NOUN
gsjp-14087	27	7	-	-	PUNCT
gsjp-14087	27	8	reports	report	NOUN
gsjp-14087	27	9	of	of	ADP
gsjp-14087	27	10	emotional	emotional	ADJ
gsjp-14087	27	11	distress	distress	NOUN
gsjp-14087	27	12	are	be	AUX
gsjp-14087	27	13	responded	respond	VERB
gsjp-14087	27	14	to	to	ADP
gsjp-14087	27	15	with	with	ADP
gsjp-14087	27	16	heightened	heightened	ADJ
gsjp-14087	27	17	attention	attention	NOUN
gsjp-14087	27	18	due	due	ADP
gsjp-14087	27	19	to	to	ADP
gsjp-14087	27	20	the	the	DET
gsjp-14087	27	21	mood	mood	NOUN
gsjp-14087	27	22	-	-	PUNCT
gsjp-14087	27	23	congruent	congruent	ADJ
gsjp-14087	27	24	nature	nature	NOUN
gsjp-14087	27	25	of	of	ADP
gsjp-14087	27	26	the	the	DET
gsjp-14087	27	27	items	item	NOUN
gsjp-14087	27	28	,	,	PUNCT
gsjp-14087	27	29	or	or	CCONJ
gsjp-14087	27	30	with	with	ADP
gsjp-14087	27	31	inattention	inattention	NOUN
gsjp-14087	27	32	(	(	PUNCT
gsjp-14087	27	33	i.e.	i.e.	X
gsjp-14087	27	34	,	,	PUNCT
gsjp-14087	27	35	careless	careless	ADJ
gsjp-14087	27	36	responding	responding	NOUN
gsjp-14087	27	37	)	)	PUNCT
gsjp-14087	27	38	due	due	ADP
gsjp-14087	27	39	to	to	ADP
gsjp-14087	27	40	concentration	concentration	NOUN
gsjp-14087	27	41	difficulties	difficulty	NOUN
gsjp-14087	27	42	and	and	CCONJ
gsjp-14087	27	43	avoidance	avoidance	NOUN
gsjp-14087	27	44	behaviors	behavior	NOUN
gsjp-14087	27	45	characteristic	characteristic	ADJ
gsjp-14087	27	46	of	of	ADP
gsjp-14087	27	47	depression	depression	NOUN
gsjp-14087	27	48	,	,	PUNCT
gsjp-14087	27	49	anxiety	anxiety	NOUN
gsjp-14087	27	50	,	,	PUNCT
gsjp-14087	27	51	and	and	CCONJ
gsjp-14087	27	52	stress	stress	NOUN
gsjp-14087	27	53	symptoms	symptom	NOUN
gsjp-14087	27	54	.	.	PUNCT
gsjp-14087	28	1	it	it	PRON
gsjp-14087	28	2	is	be	AUX
gsjp-14087	28	3	recognized	recognize	VERB
gsjp-14087	28	4	that	that	SCONJ
gsjp-14087	28	5	the	the	DET
gsjp-14087	28	6	cognitive	cognitive	ADJ
gsjp-14087	28	7	impairments	impairment	NOUN
gsjp-14087	28	8	associated	associate	VERB
gsjp-14087	28	9	with	with	ADP
gsjp-14087	28	10	depression	depression	NOUN
gsjp-14087	28	11	,	,	PUNCT
gsjp-14087	28	12	anxiety	anxiety	NOUN
gsjp-14087	28	13	,	,	PUNCT
gsjp-14087	28	14	and	and	CCONJ
gsjp-14087	28	15	stress	stress	NOUN
gsjp-14087	28	16	impact	impact	NOUN
gsjp-14087	28	17	how	how	SCONJ
gsjp-14087	28	18	these	these	DET
gsjp-14087	28	19	individuals	individual	NOUN
gsjp-14087	28	20	respond	respond	VERB
gsjp-14087	28	21	to	to	ADP
gsjp-14087	28	22	self	self	NOUN
gsjp-14087	28	23	-	-	PUNCT
gsjp-14087	28	24	report	report	NOUN
gsjp-14087	28	25	measures	measure	NOUN
gsjp-14087	28	26	,	,	PUNCT
gsjp-14087	28	27	potentially	potentially	ADV
gsjp-14087	28	28	threatening	threaten	VERB
gsjp-14087	28	29	their	their	PRON
gsjp-14087	28	30	profile	profile	NOUN
gsjp-14087	28	31	validity	validity	NOUN
gsjp-14087	28	32	and	and	CCONJ
gsjp-14087	28	33	rendering	rendering	NOUN
gsjp-14087	28	34	scores	score	NOUN
gsjp-14087	28	35	inaccurate	inaccurate	ADJ
gsjp-14087	28	36	(	(	PUNCT
gsjp-14087	28	37	ashley	ashley	PROPN
gsjp-14087	28	38	&	&	CCONJ
gsjp-14087	28	39	shaughnessy	shaughnessy	PROPN
gsjp-14087	28	40	,	,	PUNCT
gsjp-14087	28	41	2021	2021	NUM
gsjp-14087	28	42	;	;	PUNCT
gsjp-14087	28	43	conijn	conijn	NOUN
gsjp-14087	28	44	et	et	PROPN
gsjp-14087	28	45	al	al	PROPN
gsjp-14087	28	46	.	.	PROPN
gsjp-14087	28	47	,	,	PUNCT
gsjp-14087	28	48	2020	2020	NUM
gsjp-14087	28	49	)	)	PUNCT
gsjp-14087	28	50	.	.	PUNCT
gsjp-14087	29	1	studying	study	VERB
gsjp-14087	29	2	the	the	DET
gsjp-14087	29	3	patterns	pattern	NOUN
gsjp-14087	29	4	of	of	ADP
gsjp-14087	29	5	response	response	NOUN
gsjp-14087	29	6	behavior	behavior	NOUN
gsjp-14087	29	7	on	on	ADP
gsjp-14087	29	8	self	self	NOUN
gsjp-14087	29	9	-	-	PUNCT
gsjp-14087	29	10	report	report	NOUN
gsjp-14087	29	11	measures	measure	NOUN
gsjp-14087	29	12	in	in	ADP
gsjp-14087	29	13	emotionally	emotionally	ADV
gsjp-14087	29	14	distressed	distressed	ADJ
gsjp-14087	29	15	respondents	respondent	NOUN
gsjp-14087	29	16	may	may	AUX
gsjp-14087	29	17	clarify	clarify	VERB
gsjp-14087	29	18	how	how	SCONJ
gsjp-14087	29	19	their	their	PRON
gsjp-14087	29	20	cognitive	cognitive	ADJ
gsjp-14087	29	21	symptoms	symptom	NOUN
gsjp-14087	29	22	are	be	AUX
gsjp-14087	29	23	impacting	impact	VERB
gsjp-14087	29	24	their	their	PRON
gsjp-14087	29	25	survey	survey	NOUN
gsjp-14087	29	26	responses	response	NOUN
gsjp-14087	29	27	and	and	CCONJ
gsjp-14087	29	28	provide	provide	VERB
gsjp-14087	29	29	an	an	DET
gsjp-14087	29	30	effective	effective	ADJ
gsjp-14087	29	31	way	way	NOUN
gsjp-14087	29	32	to	to	PART
gsjp-14087	29	33	assess	assess	VERB
gsjp-14087	29	34	profile	profile	NOUN
gsjp-14087	29	35	validity	validity	NOUN
gsjp-14087	29	36	.	.	PUNCT
gsjp-14087	30	1	careless	careless	ADJ
gsjp-14087	30	2	responding	respond	VERB
gsjp-14087	30	3	tends	tend	VERB
gsjp-14087	30	4	to	to	PART
gsjp-14087	30	5	be	be	AUX
gsjp-14087	30	6	higher	high	ADJ
gsjp-14087	30	7	in	in	ADP
gsjp-14087	30	8	populations	population	NOUN
gsjp-14087	30	9	with	with	ADP
gsjp-14087	30	10	mental	mental	ADJ
gsjp-14087	30	11	health	health	NOUN
gsjp-14087	30	12	concerns	concern	NOUN
gsjp-14087	30	13	,	,	PUNCT
gsjp-14087	30	14	with	with	ADP
gsjp-14087	30	15	rates	rate	NOUN
gsjp-14087	30	16	ranging	range	VERB
gsjp-14087	30	17	from	from	ADP
gsjp-14087	30	18	6.0	6.0	NUM
gsjp-14087	30	19	%	%	NOUN
gsjp-14087	30	20	(	(	PUNCT
gsjp-14087	30	21	lepagea	lepagea	NOUN
gsjp-14087	30	22	et	et	PROPN
gsjp-14087	30	23	al	al	PROPN
gsjp-14087	30	24	.	.	PROPN
gsjp-14087	30	25	,	,	PUNCT
gsjp-14087	30	26	2001	2001	NUM
gsjp-14087	30	27	)	)	PUNCT
gsjp-14087	30	28	to	to	ADP
gsjp-14087	30	29	12.6	12.6	NUM
gsjp-14087	30	30	%	%	NOUN
gsjp-14087	30	31	(	(	PUNCT
gsjp-14087	30	32	conijn	conijn	INTJ
gsjp-14087	30	33	et	et	PROPN
gsjp-14087	30	34	al	al	PROPN
gsjp-14087	30	35	.	.	PROPN
gsjp-14087	30	36	,	,	PUNCT
gsjp-14087	30	37	2015	2015	NUM
gsjp-14087	30	38	)	)	PUNCT
gsjp-14087	30	39	.	.	PUNCT
gsjp-14087	31	1	moreover	moreover	ADV
gsjp-14087	31	2	,	,	PUNCT
gsjp-14087	31	3	findings	finding	NOUN
gsjp-14087	31	4	indicate	indicate	VERB
gsjp-14087	31	5	that	that	SCONJ
gsjp-14087	31	6	those	those	PRON
gsjp-14087	31	7	with	with	ADP
gsjp-14087	31	8	more	more	ADV
gsjp-14087	31	9	severe	severe	ADJ
gsjp-14087	31	10	psychopathology	psychopathology	NOUN
gsjp-14087	31	11	are	be	AUX
gsjp-14087	31	12	more	more	ADV
gsjp-14087	31	13	likely	likely	ADJ
gsjp-14087	31	14	to	to	PART
gsjp-14087	31	15	show	show	VERB
gsjp-14087	31	16	aberrant	aberrant	ADJ
gsjp-14087	31	17	response	response	NOUN
gsjp-14087	31	18	styles	style	NOUN
gsjp-14087	31	19	(	(	PUNCT
gsjp-14087	31	20	conijn	conijn	INTJ
gsjp-14087	31	21	et	et	PROPN
gsjp-14087	31	22	al	al	PROPN
gsjp-14087	31	23	.	.	PROPN
gsjp-14087	31	24	,	,	PUNCT
gsjp-14087	31	25	2015	2015	NUM
gsjp-14087	31	26	,	,	PUNCT
gsjp-14087	31	27	2018	2018	NUM
gsjp-14087	31	28	;	;	PUNCT
gsjp-14087	31	29	keeley	keeley	PROPN
gsjp-14087	31	30	et	et	PROPN
gsjp-14087	31	31	al	al	PROPN
gsjp-14087	31	32	.	.	PROPN
gsjp-14087	31	33	,	,	PUNCT
gsjp-14087	31	34	2016	2016	NUM
gsjp-14087	31	35	;	;	PUNCT
gsjp-14087	31	36	wardenaar	wardenaar	NOUN
gsjp-14087	31	37	et	et	PROPN
gsjp-14087	31	38	al	al	PROPN
gsjp-14087	31	39	.	.	PROPN
gsjp-14087	31	40	,	,	PUNCT
gsjp-14087	31	41	2015	2015	NUM
gsjp-14087	31	42	)	)	PUNCT
gsjp-14087	31	43	.	.	PUNCT
gsjp-14087	32	1	comorbid	comorbid	NOUN
gsjp-14087	32	2	anxiety	anxiety	NOUN
gsjp-14087	32	3	and	and	CCONJ
gsjp-14087	32	4	depression	depression	NOUN
gsjp-14087	32	5	appear	appear	VERB
gsjp-14087	32	6	to	to	PART
gsjp-14087	32	7	be	be	AUX
gsjp-14087	32	8	associated	associate	VERB
gsjp-14087	32	9	with	with	ADP
gsjp-14087	32	10	even	even	ADV
gsjp-14087	32	11	greater	great	ADJ
gsjp-14087	32	12	aberrant	aberrant	ADJ
gsjp-14087	32	13	responses	response	NOUN
gsjp-14087	32	14	because	because	SCONJ
gsjp-14087	32	15	of	of	ADP
gsjp-14087	32	16	the	the	DET
gsjp-14087	32	17	interacting	interact	VERB
gsjp-14087	32	18	effects	effect	NOUN
gsjp-14087	32	19	of	of	ADP
gsjp-14087	32	20	the	the	DET
gsjp-14087	32	21	two	two	NUM
gsjp-14087	32	22	forms	form	NOUN
gsjp-14087	32	23	of	of	ADP
gsjp-14087	32	24	psychological	psychological	ADJ
gsjp-14087	32	25	distress	distress	NOUN
gsjp-14087	32	26	on	on	ADP
gsjp-14087	32	27	working	working	NOUN
gsjp-14087	32	28	memory	memory	NOUN
gsjp-14087	32	29	capacity	capacity	NOUN
gsjp-14087	32	30	(	(	PUNCT
gsjp-14087	32	31	e.g.	e.g.	ADV
gsjp-14087	32	32	,	,	PUNCT
gsjp-14087	32	33	beaudreau	beaudreau	NOUN
gsjp-14087	32	34	&	&	CCONJ
gsjp-14087	32	35	o’hara	o’hara	NOUN
gsjp-14087	32	36	,	,	PUNCT
gsjp-14087	32	37	2009	2009	NUM
gsjp-14087	32	38	)	)	PUNCT
gsjp-14087	32	39	.	.	PUNCT
gsjp-14087	33	1	the	the	DET
gsjp-14087	33	2	relationship	relationship	NOUN
gsjp-14087	33	3	between	between	ADP
gsjp-14087	33	4	anxiety	anxiety	NOUN
gsjp-14087	33	5	alone	alone	ADJ
gsjp-14087	33	6	and	and	CCONJ
gsjp-14087	33	7	response	response	NOUN
gsjp-14087	33	8	bias	bias	NOUN
gsjp-14087	33	9	is	be	AUX
gsjp-14087	33	10	less	less	ADV
gsjp-14087	33	11	clear	clear	ADJ
gsjp-14087	33	12	(	(	PUNCT
gsjp-14087	33	13	ferreri	ferreri	PROPN
gsjp-14087	33	14	et	et	PROPN
gsjp-14087	33	15	al	al	PROPN
gsjp-14087	33	16	,	,	PUNCT
gsjp-14087	33	17	2011	2011	NUM
gsjp-14087	33	18	;	;	PUNCT
gsjp-14087	33	19	salthouse	salthouse	NOUN
gsjp-14087	33	20	,	,	PUNCT
gsjp-14087	33	21	2012	2012	NUM
gsjp-14087	33	22	)	)	PUNCT
gsjp-14087	33	23	,	,	PUNCT
gsjp-14087	33	24	possibly	possibly	ADV
gsjp-14087	33	25	because	because	SCONJ
gsjp-14087	33	26	those	those	PRON
gsjp-14087	33	27	with	with	ADP
gsjp-14087	33	28	anxiety	anxiety	NOUN
gsjp-14087	33	29	do	do	AUX
gsjp-14087	33	30	not	not	PART
gsjp-14087	33	31	consistently	consistently	ADV
gsjp-14087	33	32	exhibit	exhibit	VERB
gsjp-14087	33	33	cognitive	cognitive	ADJ
gsjp-14087	33	34	symptoms	symptom	NOUN
gsjp-14087	33	35	(	(	PUNCT
gsjp-14087	33	36	castaneda	castaneda	PROPN
gsjp-14087	33	37	et	et	PROPN
gsjp-14087	33	38	al	al	PROPN
gsjp-14087	33	39	.	.	PROPN
gsjp-14087	33	40	,	,	PUNCT
gsjp-14087	33	41	2008	2008	NUM
gsjp-14087	33	42	)	)	PUNCT
gsjp-14087	33	43	.	.	PUNCT
gsjp-14087	34	1	conijn	conijn	INTJ
gsjp-14087	34	2	et	et	PROPN
gsjp-14087	34	3	al	al	PROPN
gsjp-14087	34	4	.	.	PROPN
gsjp-14087	34	5	(	(	PUNCT
gsjp-14087	34	6	2020	2020	NUM
gsjp-14087	34	7	)	)	PUNCT
gsjp-14087	34	8	proposed	propose	VERB
gsjp-14087	34	9	and	and	CCONJ
gsjp-14087	34	10	tested	test	VERB
gsjp-14087	34	11	a	a	DET
gsjp-14087	34	12	theoretical	theoretical	ADJ
gsjp-14087	34	13	explanation	explanation	NOUN
gsjp-14087	34	14	for	for	ADP
gsjp-14087	34	15	careless	careless	ADJ
gsjp-14087	34	16	responding	respond	VERB
gsjp-14087	34	17	in	in	ADP
gsjp-14087	34	18	clinically	clinically	ADV
gsjp-14087	34	19	depressed	depressed	ADJ
gsjp-14087	34	20	and	and	CCONJ
gsjp-14087	34	21	anxious	anxious	ADJ
gsjp-14087	34	22	populations	population	NOUN
gsjp-14087	34	23	.	.	PUNCT
gsjp-14087	35	1	they	they	PRON
gsjp-14087	35	2	argued	argue	VERB
gsjp-14087	35	3	that	that	SCONJ
gsjp-14087	35	4	cognitive	cognitive	ADJ
gsjp-14087	35	5	symptoms	symptom	NOUN
gsjp-14087	35	6	of	of	ADP
gsjp-14087	35	7	depression	depression	NOUN
gsjp-14087	35	8	,	,	PUNCT
gsjp-14087	35	9	specifically	specifically	ADV
gsjp-14087	35	10	concentration	concentration	NOUN
gsjp-14087	35	11	,	,	PUNCT
gsjp-14087	35	12	comprehension	comprehension	NOUN
gsjp-14087	35	13	,	,	PUNCT
gsjp-14087	35	14	and	and	CCONJ
gsjp-14087	35	15	memory	memory	NOUN
gsjp-14087	35	16	,	,	PUNCT
gsjp-14087	35	17	limit	limit	VERB
gsjp-14087	35	18	cognitive	cognitive	ADJ
gsjp-14087	35	19	abilities	ability	NOUN
gsjp-14087	35	20	and	and	CCONJ
gsjp-14087	35	21	make	make	VERB
gsjp-14087	35	22	aberrant	aberrant	ADJ
gsjp-14087	35	23	responses	response	NOUN
gsjp-14087	35	24	more	more	ADV
gsjp-14087	35	25	likely	likely	ADJ
gsjp-14087	35	26	(	(	PUNCT
gsjp-14087	35	27	hubbard	hubbard	PROPN
gsjp-14087	35	28	et	et	PROPN
gsjp-14087	35	29	al	al	PROPN
gsjp-14087	35	30	.	.	PROPN
gsjp-14087	35	31	,	,	PUNCT
gsjp-14087	35	32	2016	2016	NUM
gsjp-14087	35	33	)	)	PUNCT
gsjp-14087	35	34	.	.	PUNCT
gsjp-14087	36	1	in	in	ADP
gsjp-14087	36	2	testing	test	VERB
gsjp-14087	36	3	their	their	PRON
gsjp-14087	36	4	model	model	NOUN
gsjp-14087	36	5	,	,	PUNCT
gsjp-14087	36	6	they	they	PRON
gsjp-14087	36	7	found	find	VERB
gsjp-14087	36	8	that	that	SCONJ
gsjp-14087	36	9	cognitive	cognitive	ADJ
gsjp-14087	36	10	symptoms	symptom	NOUN
gsjp-14087	36	11	mediate	mediate	VERB
gsjp-14087	36	12	the	the	DET
gsjp-14087	36	13	relationship	relationship	NOUN
gsjp-14087	36	14	between	between	ADP
gsjp-14087	36	15	depression	depression	NOUN
gsjp-14087	36	16	or	or	CCONJ
gsjp-14087	36	17	anxiety	anxiety	NOUN
gsjp-14087	36	18	and	and	CCONJ
gsjp-14087	36	19	response	response	NOUN
gsjp-14087	36	20	biases	bias	NOUN
gsjp-14087	36	21	.	.	PUNCT
gsjp-14087	37	1	another	another	DET
gsjp-14087	37	2	study	study	NOUN
gsjp-14087	37	3	indicated	indicate	VERB
gsjp-14087	37	4	that	that	SCONJ
gsjp-14087	37	5	higher	high	ADJ
gsjp-14087	37	6	levels	level	NOUN
gsjp-14087	37	7	of	of	ADP
gsjp-14087	37	8	anxiety	anxiety	NOUN
gsjp-14087	37	9	,	,	PUNCT
gsjp-14087	37	10	distress	distress	NOUN
gsjp-14087	37	11	,	,	PUNCT
gsjp-14087	37	12	and	and	CCONJ
gsjp-14087	37	13	sadness	sadness	NOUN
gsjp-14087	37	14	were	be	AUX
gsjp-14087	37	15	associated	associate	VERB
gsjp-14087	37	16	with	with	ADP
gsjp-14087	37	17	inattention	inattention	NOUN
gsjp-14087	37	18	on	on	ADP
gsjp-14087	37	19	surveys	survey	NOUN
gsjp-14087	37	20	(	(	PUNCT
gsjp-14087	37	21	ashley	ashley	PROPN
gsjp-14087	37	22	&	&	CCONJ
gsjp-14087	37	23	shaughnessy	shaughnessy	PROPN
gsjp-14087	37	24	,	,	PUNCT
gsjp-14087	37	25	2021	2021	NUM
gsjp-14087	37	26	)	)	PUNCT
gsjp-14087	37	27	.	.	PUNCT
gsjp-14087	38	1	when	when	SCONJ
gsjp-14087	38	2	researchers	researcher	NOUN
gsjp-14087	38	3	fail	fail	VERB
gsjp-14087	38	4	to	to	PART
gsjp-14087	38	5	detect	detect	VERB
gsjp-14087	38	6	and	and	CCONJ
gsjp-14087	38	7	report	report	VERB
gsjp-14087	38	8	instances	instance	NOUN
gsjp-14087	38	9	of	of	ADP
gsjp-14087	38	10	careless	careless	ADJ
gsjp-14087	38	11	responding	responding	NOUN
gsjp-14087	38	12	,	,	PUNCT
gsjp-14087	38	13	it	it	PRON
gsjp-14087	38	14	impacts	impact	VERB
gsjp-14087	38	15	findings	finding	NOUN
gsjp-14087	38	16	,	,	PUNCT
gsjp-14087	38	17	jeopardizing	jeopardize	VERB
gsjp-14087	38	18	the	the	DET
gsjp-14087	38	19	overall	overall	ADJ
gsjp-14087	38	20	quality	quality	NOUN
gsjp-14087	38	21	of	of	ADP
gsjp-14087	38	22	knowledge	knowledge	NOUN
gsjp-14087	38	23	production	production	NOUN
gsjp-14087	38	24	in	in	ADP
gsjp-14087	38	25	the	the	DET
gsjp-14087	38	26	field	field	NOUN
gsjp-14087	38	27	.	.	PUNCT
gsjp-14087	39	1	this	this	DET
gsjp-14087	39	2	threat	threat	NOUN
gsjp-14087	39	3	to	to	ADP
gsjp-14087	39	4	the	the	DET
gsjp-14087	39	5	psychometric	psychometric	ADJ
gsjp-14087	39	6	properties	property	NOUN
gsjp-14087	39	7	of	of	ADP
gsjp-14087	39	8	self	self	NOUN
gsjp-14087	39	9	-	-	PUNCT
gsjp-14087	39	10	report	report	NOUN
gsjp-14087	39	11	measures	measure	NOUN
gsjp-14087	39	12	has	have	AUX
gsjp-14087	39	13	been	be	AUX
gsjp-14087	39	14	reported	report	VERB
gsjp-14087	39	15	and	and	CCONJ
gsjp-14087	39	16	studied	study	VERB
gsjp-14087	39	17	by	by	ADP
gsjp-14087	39	18	many	many	ADJ
gsjp-14087	39	19	researchers	researcher	NOUN
gsjp-14087	39	20	,	,	PUNCT
gsjp-14087	39	21	and	and	CCONJ
gsjp-14087	39	22	its	its	PRON
gsjp-14087	39	23	relevance	relevance	NOUN
gsjp-14087	39	24	to	to	ADP
gsjp-14087	39	25	clinical	clinical	ADJ
gsjp-14087	39	26	settings	setting	NOUN
gsjp-14087	39	27	has	have	AUX
gsjp-14087	39	28	been	be	AUX
gsjp-14087	39	29	explored	explore	VERB
gsjp-14087	39	30	(	(	PUNCT
gsjp-14087	39	31	e.g.	e.g.	ADV
gsjp-14087	39	32	,	,	PUNCT
gsjp-14087	39	33	cuijpers	cuijper	NOUN
gsjp-14087	40	1	et	et	VERB
gsjp-14087	40	2	al	al	PROPN
gsjp-14087	40	3	.	.	PROPN
gsjp-14087	40	4	,	,	PUNCT
gsjp-14087	40	5	2010	2010	NUM
gsjp-14087	40	6	;	;	PUNCT
gsjp-14087	40	7	keeley	keeley	PROPN
gsjp-14087	40	8	et	et	PROPN
gsjp-14087	40	9	al	al	PROPN
gsjp-14087	40	10	.	.	PROPN
gsjp-14087	40	11	,	,	PUNCT
gsjp-14087	40	12	2016	2016	NUM
gsjp-14087	40	13	;	;	PUNCT
gsjp-14087	40	14	tada	tada	PROPN
gsjp-14087	40	15	et	et	PROPN
gsjp-14087	40	16	al	al	PROPN
gsjp-14087	40	17	.	.	PROPN
gsjp-14087	40	18	,	,	PUNCT
gsjp-14087	40	19	2014	2014	NUM
gsjp-14087	40	20	)	)	PUNCT
gsjp-14087	40	21	.	.	PUNCT
gsjp-14087	41	1	when	when	SCONJ
gsjp-14087	41	2	self	self	NOUN
gsjp-14087	41	3	-	-	PUNCT
gsjp-14087	41	4	report	report	NOUN
gsjp-14087	41	5	questionnaires	questionnaire	NOUN
gsjp-14087	41	6	are	be	AUX
gsjp-14087	41	7	used	use	VERB
gsjp-14087	41	8	diagnostically	diagnostically	ADV
gsjp-14087	41	9	,	,	PUNCT
gsjp-14087	41	10	clinicians	clinician	NOUN
gsjp-14087	41	11	base	base	VERB
gsjp-14087	41	12	their	their	PRON
gsjp-14087	41	13	clinical	clinical	ADJ
gsjp-14087	41	14	decision	decision	NOUN
gsjp-14087	41	15	-	-	PUNCT
gsjp-14087	41	16	making	making	NOUN
gsjp-14087	41	17	and	and	CCONJ
gsjp-14087	41	18	diagnosis	diagnosis	NOUN
gsjp-14087	41	19	on	on	ADP
gsjp-14087	41	20	information	information	NOUN
gsjp-14087	41	21	that	that	PRON
gsjp-14087	41	22	may	may	AUX
gsjp-14087	41	23	overestimate	overestimate	VERB
gsjp-14087	41	24	or	or	CCONJ
gsjp-14087	41	25	underestimate	underestimate	ADJ
gsjp-14087	41	26	symptom	symptom	NOUN
gsjp-14087	41	27	severity	severity	NOUN
gsjp-14087	41	28	(	(	PUNCT
gsjp-14087	41	29	keeley	keeley	PROPN
gsjp-14087	41	30	et	et	PROPN
gsjp-14087	41	31	al	al	PROPN
gsjp-14087	41	32	.	.	PROPN
gsjp-14087	41	33	,	,	PUNCT
gsjp-14087	41	34	2016	2016	NUM
gsjp-14087	41	35	)	)	PUNCT
gsjp-14087	41	36	.	.	PUNCT
gsjp-14087	42	1	given	give	VERB
gsjp-14087	42	2	the	the	DET
gsjp-14087	42	3	findings	finding	NOUN
gsjp-14087	42	4	from	from	ADP
gsjp-14087	42	5	previous	previous	ADJ
gsjp-14087	42	6	research	research	NOUN
gsjp-14087	42	7	and	and	CCONJ
gsjp-14087	42	8	the	the	DET
gsjp-14087	42	9	psychometric	psychometric	ADJ
gsjp-14087	42	10	utility	utility	NOUN
gsjp-14087	42	11	of	of	ADP
gsjp-14087	42	12	attending	attend	VERB
gsjp-14087	42	13	to	to	PART
gsjp-14087	42	14	careless	careless	ADJ
gsjp-14087	42	15	responding	responding	NOUN
gsjp-14087	42	16	,	,	PUNCT
gsjp-14087	42	17	a	a	DET
gsjp-14087	42	18	clear	clear	ADJ
gsjp-14087	42	19	understanding	understanding	NOUN
gsjp-14087	42	20	of	of	ADP
gsjp-14087	42	21	careless	careless	ADJ
gsjp-14087	42	22	response	response	NOUN
gsjp-14087	42	23	detection	detection	NOUN
gsjp-14087	42	24	is	be	AUX
gsjp-14087	42	25	needed	need	VERB
gsjp-14087	42	26	.	.	PUNCT
gsjp-14087	43	1	approaches	approach	NOUN
gsjp-14087	43	2	to	to	ADP
gsjp-14087	43	3	understanding	understand	VERB
gsjp-14087	43	4	response	response	NOUN
gsjp-14087	43	5	behavior	behavior	NOUN
gsjp-14087	43	6	there	there	PRON
gsjp-14087	43	7	are	be	VERB
gsjp-14087	43	8	a	a	DET
gsjp-14087	43	9	variety	variety	NOUN
gsjp-14087	43	10	of	of	ADP
gsjp-14087	43	11	approaches	approach	NOUN
gsjp-14087	43	12	to	to	PART
gsjp-14087	43	13	detect	detect	VERB
gsjp-14087	43	14	careless	careless	ADJ
gsjp-14087	43	15	responding	responding	NOUN
gsjp-14087	43	16	(	(	PUNCT
gsjp-14087	43	17	see	see	VERB
gsjp-14087	43	18	ward	ward	NOUN
gsjp-14087	43	19	&	&	CCONJ
gsjp-14087	43	20	meade	meade	PROPN
gsjp-14087	43	21	,	,	PUNCT
gsjp-14087	43	22	2023	2023	NUM
gsjp-14087	43	23	,	,	PUNCT
gsjp-14087	43	24	for	for	ADP
gsjp-14087	43	25	review	review	NOUN
gsjp-14087	43	26	)	)	PUNCT
gsjp-14087	43	27	.	.	PUNCT
gsjp-14087	44	1	proactive	proactive	ADJ
gsjp-14087	44	2	indices	index	NOUN
gsjp-14087	44	3	are	be	AUX
gsjp-14087	44	4	those	those	PRON
gsjp-14087	44	5	that	that	PRON
gsjp-14087	44	6	place	place	VERB
gsjp-14087	44	7	items	item	NOUN
gsjp-14087	44	8	within	within	ADP
gsjp-14087	44	9	the	the	DET
gsjp-14087	44	10	survey	survey	NOUN
gsjp-14087	44	11	itself	itself	PRON
gsjp-14087	44	12	to	to	PART
gsjp-14087	44	13	assess	assess	VERB
gsjp-14087	44	14	inattention	inattention	NOUN
gsjp-14087	44	15	,	,	PUNCT
gsjp-14087	44	16	such	such	ADJ
gsjp-14087	44	17	as	as	ADP
gsjp-14087	44	18	“	"	PUNCT
gsjp-14087	44	19	because	because	SCONJ
gsjp-14087	44	20	i	i	PRON
gsjp-14087	44	21	am	be	AUX
gsjp-14087	44	22	paying	pay	VERB
gsjp-14087	44	23	attention	attention	NOUN
gsjp-14087	44	24	,	,	PUNCT
gsjp-14087	44	25	i	i	PRON
gsjp-14087	44	26	will	will	AUX
gsjp-14087	44	27	answer	answer	VERB
gsjp-14087	44	28	this	this	DET
gsjp-14087	44	29	question	question	NOUN
gsjp-14087	44	30	with	with	ADP
gsjp-14087	44	31	‘	'	PUNCT
gsjp-14087	44	32	very	very	ADV
gsjp-14087	44	33	little	little	ADJ
gsjp-14087	44	34	’	'	PUNCT
gsjp-14087	44	35	”	"	PUNCT
gsjp-14087	44	36	(	(	PUNCT
gsjp-14087	44	37	ashley	ashley	PROPN
gsjp-14087	44	38	&	&	CCONJ
gsjp-14087	44	39	shaughnessy	shaughnessy	PROPN
gsjp-14087	44	40	,	,	PUNCT
gsjp-14087	44	41	2021	2021	NUM
gsjp-14087	44	42	,	,	PUNCT
gsjp-14087	44	43	p.	p.	NOUN
gsjp-14087	44	44	4	4	NUM
gsjp-14087	44	45	)	)	PUNCT
gsjp-14087	44	46	.	.	PUNCT
gsjp-14087	45	1	however	however	ADV
gsjp-14087	45	2	,	,	PUNCT
gsjp-14087	45	3	these	these	DET
gsjp-14087	45	4	single	single	ADJ
gsjp-14087	45	5	-	-	PUNCT
gsjp-14087	45	6	item	item	NOUN
gsjp-14087	45	7	proactive	proactive	ADJ
gsjp-14087	45	8	indices	index	NOUN
gsjp-14087	45	9	provide	provide	VERB
gsjp-14087	45	10	little	little	ADJ
gsjp-14087	45	11	contextual	contextual	ADJ
gsjp-14087	45	12	information	information	NOUN
gsjp-14087	45	13	about	about	ADP
gsjp-14087	45	14	the	the	DET
gsjp-14087	45	15	pattern	pattern	NOUN
gsjp-14087	45	16	of	of	ADP
gsjp-14087	45	17	careless	careless	ADJ
gsjp-14087	45	18	responding	respond	VERB
gsjp-14087	45	19	throughout	throughout	ADP
gsjp-14087	45	20	an	an	DET
gsjp-14087	45	21	entire	entire	ADJ
gsjp-14087	45	22	survey	survey	NOUN
gsjp-14087	45	23	.	.	PUNCT
gsjp-14087	46	1	reactive	reactive	ADJ
gsjp-14087	46	2	indices	index	NOUN
gsjp-14087	46	3	are	be	AUX
gsjp-14087	46	4	those	those	PRON
gsjp-14087	46	5	that	that	PRON
gsjp-14087	46	6	flag	flag	NOUN
gsjp-14087	46	7	inattentive	inattentive	ADJ
gsjp-14087	46	8	responders	responder	NOUN
gsjp-14087	46	9	through	through	ADP
gsjp-14087	46	10	detection	detection	NOUN
gsjp-14087	46	11	of	of	ADP
gsjp-14087	46	12	careless	careless	ADJ
gsjp-14087	46	13	response	response	NOUN
gsjp-14087	46	14	styles	style	NOUN
gsjp-14087	46	15	during	during	ADP
gsjp-14087	46	16	data	datum	NOUN
gsjp-14087	46	17	cleaning	cleaning	NOUN
gsjp-14087	46	18	and	and	CCONJ
gsjp-14087	46	19	analysis	analysis	NOUN
gsjp-14087	46	20	phases	phase	NOUN
gsjp-14087	46	21	,	,	PUNCT
gsjp-14087	46	22	such	such	ADJ
gsjp-14087	46	23	as	as	ADP
gsjp-14087	46	24	longstring	longstre	VERB
gsjp-14087	46	25	detection	detection	NOUN
gsjp-14087	46	26	(	(	PUNCT
gsjp-14087	46	27	i.e.	i.e.	X
gsjp-14087	46	28	,	,	PUNCT
gsjp-14087	46	29	the	the	DET
gsjp-14087	46	30	selection	selection	NOUN
gsjp-14087	46	31	of	of	ADP
gsjp-14087	46	32	the	the	DET
gsjp-14087	46	33	same	same	ADJ
gsjp-14087	46	34	response	response	NOUN
gsjp-14087	46	35	option	option	NOUN
gsjp-14087	46	36	for	for	ADP
gsjp-14087	46	37	several	several	ADJ
gsjp-14087	46	38	consecutive	consecutive	ADJ
gsjp-14087	46	39	responses	response	NOUN
gsjp-14087	46	40	)	)	PUNCT
gsjp-14087	46	41	,	,	PUNCT
gsjp-14087	46	42	and	and	CCONJ
gsjp-14087	46	43	participant	participant	ADJ
gsjp-14087	46	44	-	-	PUNCT
gsjp-14087	46	45	specific	specific	ADJ
gsjp-14087	46	46	reliability	reliability	NOUN
gsjp-14087	46	47	(	(	PUNCT
gsjp-14087	46	48	i.e.	i.e.	X
gsjp-14087	46	49	,	,	PUNCT
gsjp-14087	46	50	the	the	DET
gsjp-14087	46	51	consistency	consistency	NOUN
gsjp-14087	46	52	of	of	ADP
gsjp-14087	46	53	a	a	DET
gsjp-14087	46	54	participant	participant	NOUN
gsjp-14087	46	55	’s	’s	PART
gsjp-14087	46	56	responses	response	NOUN
gsjp-14087	46	57	on	on	ADP
gsjp-14087	46	58	items	item	NOUN
gsjp-14087	46	59	measuring	measure	VERB
gsjp-14087	46	60	the	the	DET
gsjp-14087	46	61	same	same	ADJ
gsjp-14087	46	62	trait	trait	NOUN
gsjp-14087	46	63	;	;	PUNCT
gsjp-14087	46	64	ashley	ashley	PROPN
gsjp-14087	46	65	&	&	CCONJ
gsjp-14087	46	66	shaughnessy	shaughnessy	PROPN
gsjp-14087	46	67	,	,	PUNCT
gsjp-14087	46	68	2021	2021	NUM
gsjp-14087	46	69	)	)	PUNCT
gsjp-14087	46	70	.	.	PUNCT
gsjp-14087	47	1	curran	curran	NOUN
gsjp-14087	47	2	(	(	PUNCT
gsjp-14087	47	3	2016	2016	NUM
gsjp-14087	47	4	)	)	PUNCT
gsjp-14087	47	5	noted	note	VERB
gsjp-14087	47	6	that	that	SCONJ
gsjp-14087	47	7	the	the	DET
gsjp-14087	47	8	use	use	NOUN
gsjp-14087	47	9	of	of	ADP
gsjp-14087	47	10	a	a	DET
gsjp-14087	47	11	single	single	ADJ
gsjp-14087	47	12	response	response	NOUN
gsjp-14087	47	13	style	style	NOUN
gsjp-14087	47	14	approach	approach	NOUN
gsjp-14087	47	15	is	be	AUX
gsjp-14087	47	16	insufficient	insufficient	ADJ
gsjp-14087	47	17	to	to	PART
gsjp-14087	47	18	detect	detect	VERB
gsjp-14087	47	19	careless	careless	ADJ
gsjp-14087	47	20	responders	responder	NOUN
gsjp-14087	47	21	because	because	SCONJ
gsjp-14087	47	22	they	they	PRON
gsjp-14087	47	23	may	may	AUX
gsjp-14087	47	24	have	have	VERB
gsjp-14087	47	25	response	response	NOUN
gsjp-14087	47	26	style	style	NOUN
gsjp-14087	47	27	patterns	pattern	NOUN
gsjp-14087	47	28	that	that	PRON
gsjp-14087	47	29	are	be	AUX
gsjp-14087	47	30	detectable	detectable	ADJ
gsjp-14087	47	31	with	with	ADP
gsjp-14087	47	32	some	some	DET
gsjp-14087	47	33	approaches	approach	NOUN
gsjp-14087	47	34	but	but	CCONJ
gsjp-14087	47	35	not	not	PART
gsjp-14087	47	36	others	other	NOUN
gsjp-14087	47	37	.	.	PUNCT
gsjp-14087	48	1	for	for	ADP
gsjp-14087	48	2	example	example	NOUN
gsjp-14087	48	3	,	,	PUNCT
gsjp-14087	48	4	participants	participant	NOUN
gsjp-14087	48	5	who	who	PRON
gsjp-14087	48	6	use	use	VERB
gsjp-14087	48	7	a	a	DET
gsjp-14087	48	8	longstring	longstre	VERB
gsjp-14087	48	9	response	response	NOUN
gsjp-14087	48	10	style	style	NOUN
gsjp-14087	48	11	would	would	AUX
gsjp-14087	48	12	have	have	VERB
gsjp-14087	48	13	high	high	ADJ
gsjp-14087	48	14	participant	participant	ADJ
gsjp-14087	48	15	-	-	PUNCT
gsjp-14087	48	16	specific	specific	ADJ
gsjp-14087	48	17	reliability	reliability	NOUN
gsjp-14087	48	18	and	and	CCONJ
gsjp-14087	48	19	would	would	AUX
gsjp-14087	48	20	not	not	PART
gsjp-14087	48	21	be	be	AUX
gsjp-14087	48	22	identified	identify	VERB
gsjp-14087	48	23	by	by	ADP
gsjp-14087	48	24	detection	detection	NOUN
gsjp-14087	48	25	approaches	approach	NOUN
gsjp-14087	48	26	designed	design	VERB
gsjp-14087	48	27	to	to	PART
gsjp-14087	48	28	detect	detect	VERB
gsjp-14087	48	29	even	even	ADV
gsjp-14087	48	30	-	-	PUNCT
gsjp-14087	48	31	odd	odd	ADJ
gsjp-14087	48	32	response	response	NOUN
gsjp-14087	48	33	styles	style	NOUN
gsjp-14087	48	34	where	where	SCONJ
gsjp-14087	48	35	participants	participant	NOUN
gsjp-14087	48	36	select	select	VERB
gsjp-14087	48	37	extreme	extreme	ADJ
gsjp-14087	48	38	ends	end	NOUN
gsjp-14087	48	39	of	of	ADP
gsjp-14087	48	40	a	a	DET
gsjp-14087	48	41	scale	scale	NOUN
gsjp-14087	48	42	(	(	PUNCT
gsjp-14087	48	43	meade	meade	PROPN
gsjp-14087	48	44	&	&	CCONJ
gsjp-14087	48	45	craig	craig	PROPN
gsjp-14087	48	46	,	,	PUNCT
gsjp-14087	48	47	2012	2012	NUM
gsjp-14087	48	48	)	)	PUNCT
gsjp-14087	48	49	.	.	PUNCT
gsjp-14087	49	1	to	to	PART
gsjp-14087	49	2	account	account	VERB
gsjp-14087	49	3	for	for	ADP
gsjp-14087	49	4	this	this	DET
gsjp-14087	49	5	diversity	diversity	NOUN
gsjp-14087	49	6	in	in	ADP
gsjp-14087	49	7	response	response	NOUN
gsjp-14087	49	8	styles	style	NOUN
gsjp-14087	49	9	,	,	PUNCT
gsjp-14087	49	10	researchers	researcher	NOUN
gsjp-14087	49	11	have	have	AUX
gsjp-14087	49	12	suggested	suggest	VERB
gsjp-14087	49	13	that	that	SCONJ
gsjp-14087	49	14	the	the	DET
gsjp-14087	49	15	use	use	NOUN
gsjp-14087	49	16	of	of	ADP
gsjp-14087	49	17	multiple	multiple	ADJ
gsjp-14087	49	18	detection	detection	NOUN
gsjp-14087	49	19	approaches	approach	NOUN
gsjp-14087	49	20	is	be	AUX
gsjp-14087	49	21	necessary	necessary	ADJ
gsjp-14087	49	22	to	to	PART
gsjp-14087	49	23	identify	identify	VERB
gsjp-14087	49	24	careless	careless	ADJ
gsjp-14087	49	25	responders	responder	NOUN
gsjp-14087	49	26	(	(	PUNCT
gsjp-14087	49	27	ashley	ashley	PROPN
gsjp-14087	49	28	&	&	CCONJ
gsjp-14087	49	29	shaughnessy	shaughnessy	PROPN
gsjp-14087	49	30	,	,	PUNCT
gsjp-14087	49	31	2021	2021	NUM
gsjp-14087	49	32	;	;	PUNCT
gsjp-14087	49	33	curran	curran	NOUN
gsjp-14087	49	34	,	,	PUNCT
gsjp-14087	49	35	2016	2016	NUM
gsjp-14087	49	36	)	)	PUNCT
gsjp-14087	49	37	.	.	PUNCT
gsjp-14087	50	1	in	in	ADP
gsjp-14087	50	2	their	their	PRON
gsjp-14087	50	3	review	review	NOUN
gsjp-14087	50	4	of	of	ADP
gsjp-14087	50	5	careless	careless	ADJ
gsjp-14087	50	6	responding	responding	NOUN
gsjp-14087	50	7	,	,	PUNCT
gsjp-14087	50	8	ward	ward	NOUN
gsjp-14087	50	9	and	and	CCONJ
gsjp-14087	50	10	meade	meade	NOUN
gsjp-14087	50	11	(	(	PUNCT
gsjp-14087	50	12	2023	2023	NUM
gsjp-14087	50	13	)	)	PUNCT
gsjp-14087	50	14	suggest	suggest	VERB
gsjp-14087	50	15	that	that	SCONJ
gsjp-14087	50	16	extensive	extensive	ADJ
gsjp-14087	50	17	screening	screening	NOUN
gsjp-14087	50	18	methods	method	NOUN
gsjp-14087	50	19	may	may	AUX
gsjp-14087	50	20	be	be	AUX
gsjp-14087	50	21	necessary	necessary	ADJ
gsjp-14087	50	22	when	when	SCONJ
gsjp-14087	50	23	analyzing	analyze	VERB
gsjp-14087	50	24	large	large	ADJ
gsjp-14087	50	25	datasets	dataset	NOUN
gsjp-14087	50	26	or	or	CCONJ
gsjp-14087	50	27	with	with	ADP
gsjp-14087	50	28	populations	population	NOUN
gsjp-14087	50	29	that	that	PRON
gsjp-14087	50	30	are	be	AUX
gsjp-14087	50	31	more	more	ADV
gsjp-14087	50	32	likely	likely	ADJ
gsjp-14087	50	33	to	to	PART
gsjp-14087	50	34	engage	engage	VERB
gsjp-14087	50	35	in	in	ADP
gsjp-14087	50	36	careless	careless	ADJ
gsjp-14087	50	37	responding	responding	NOUN
gsjp-14087	50	38	,	,	PUNCT
gsjp-14087	50	39	such	such	ADJ
gsjp-14087	50	40	as	as	ADP
gsjp-14087	50	41	emotionally	emotionally	ADV
gsjp-14087	50	42	distressed	distressed	ADJ
gsjp-14087	50	43	individuals	individual	NOUN
gsjp-14087	50	44	.	.	PUNCT
gsjp-14087	51	1	for	for	ADP
gsjp-14087	51	2	example	example	NOUN
gsjp-14087	51	3	,	,	PUNCT
gsjp-14087	51	4	ashley	ashley	NOUN
gsjp-14087	51	5	and	and	CCONJ
gsjp-14087	51	6	shaughnessy	shaughnessy	PROPN
gsjp-14087	51	7	(	(	PUNCT
gsjp-14087	51	8	2021	2021	NUM
gsjp-14087	51	9	)	)	PUNCT
gsjp-14087	51	10	found	find	VERB
gsjp-14087	51	11	that	that	SCONJ
gsjp-14087	51	12	proactive	proactive	ADJ
gsjp-14087	51	13	items	item	NOUN
gsjp-14087	51	14	and	and	CCONJ
gsjp-14087	51	15	short	short	ADJ
gsjp-14087	51	16	survey	survey	NOUN
gsjp-14087	51	17	response	response	NOUN
gsjp-14087	51	18	time	time	NOUN
gsjp-14087	51	19	were	be	AUX
gsjp-14087	51	20	associated	associate	VERB
gsjp-14087	51	21	with	with	ADP
gsjp-14087	51	22	negative	negative	ADJ
gsjp-14087	51	23	emotional	emotional	ADJ
gsjp-14087	51	24	states	state	NOUN
gsjp-14087	51	25	(	(	PUNCT
gsjp-14087	51	26	i.e.	i.e.	X
gsjp-14087	51	27	,	,	PUNCT
gsjp-14087	51	28	sadness	sadness	NOUN
gsjp-14087	51	29	,	,	PUNCT
gsjp-14087	51	30	anxiety	anxiety	NOUN
gsjp-14087	51	31	,	,	PUNCT
gsjp-14087	51	32	distress	distress	NOUN
gsjp-14087	51	33	)	)	PUNCT
gsjp-14087	51	34	while	while	SCONJ
gsjp-14087	51	35	other	other	ADJ
gsjp-14087	51	36	detection	detection	NOUN
gsjp-14087	51	37	methods	method	NOUN
gsjp-14087	51	38	(	(	PUNCT
gsjp-14087	51	39	e.g.	e.g.	ADV
gsjp-14087	51	40	,	,	PUNCT
gsjp-14087	51	41	longstring	longstring	ADJ
gsjp-14087	51	42	,	,	PUNCT
gsjp-14087	51	43	participant	participant	ADJ
gsjp-14087	51	44	-	-	PUNCT
gsjp-14087	51	45	specific	specific	ADJ
gsjp-14087	51	46	reliability	reliability	NOUN
gsjp-14087	51	47	)	)	PUNCT
gsjp-14087	51	48	were	be	AUX
gsjp-14087	51	49	not	not	PART
gsjp-14087	51	50	.	.	PUNCT
gsjp-14087	52	1	response	response	NOUN
gsjp-14087	52	2	time	time	NOUN
gsjp-14087	52	3	approaches	approach	VERB
gsjp-14087	52	4	response	response	NOUN
gsjp-14087	52	5	time	time	NOUN
gsjp-14087	52	6	approaches	approach	NOUN
gsjp-14087	52	7	,	,	PUNCT
gsjp-14087	52	8	which	which	PRON
gsjp-14087	52	9	operate	operate	VERB
gsjp-14087	52	10	on	on	ADP
gsjp-14087	52	11	the	the	DET
gsjp-14087	52	12	assumption	assumption	NOUN
gsjp-14087	52	13	that	that	SCONJ
gsjp-14087	52	14	careless	careless	ADJ
gsjp-14087	52	15	responders	responder	NOUN
gsjp-14087	52	16	will	will	AUX
gsjp-14087	52	17	have	have	AUX
gsjp-14087	52	18	unreasonably	unreasonably	ADJ
gsjp-14087	52	19	zentner	zentner	PROPN
gsjp-14087	52	20	&	&	CCONJ
gsjp-14087	52	21	yildirim	yildirim	PROPN
gsjp-14087	52	22	-	-	PUNCT
gsjp-14087	52	23	erbasli	erbasli	PROPN
gsjp-14087	52	24	7474	7474	NUM
gsjp-14087	52	25	response	response	NOUN
gsjp-14087	52	26	time	time	NOUN
gsjp-14087	52	27	to	to	PART
gsjp-14087	52	28	identify	identify	VERB
gsjp-14087	52	29	careless	careless	ADJ
gsjp-14087	52	30	responders	responder	NOUN
gsjp-14087	52	31	using	use	VERB
gsjp-14087	52	32	a	a	DET
gsjp-14087	52	33	general	general	ADJ
gsjp-14087	52	34	response	response	NOUN
gsjp-14087	52	35	time	time	NOUN
gsjp-14087	52	36	threshold	threshold	NOUN
gsjp-14087	52	37	applied	apply	VERB
gsjp-14087	52	38	to	to	ADP
gsjp-14087	52	39	all	all	DET
gsjp-14087	52	40	questions	question	NOUN
gsjp-14087	52	41	as	as	SCONJ
gsjp-14087	52	42	has	have	AUX
gsjp-14087	52	43	been	be	AUX
gsjp-14087	52	44	done	do	VERB
gsjp-14087	52	45	previously	previously	ADV
gsjp-14087	52	46	(	(	PUNCT
gsjp-14087	52	47	huang	huang	PROPN
gsjp-14087	52	48	et	et	PROPN
gsjp-14087	52	49	al	al	PROPN
gsjp-14087	52	50	.	.	PROPN
gsjp-14087	52	51	,	,	PUNCT
gsjp-14087	52	52	2012	2012	NUM
gsjp-14087	52	53	;	;	PUNCT
gsjp-14087	52	54	wise	wise	PROPN
gsjp-14087	52	55	&	&	CCONJ
gsjp-14087	52	56	ma	ma	PROPN
gsjp-14087	52	57	,	,	PUNCT
gsjp-14087	52	58	2012	2012	NUM
gsjp-14087	52	59	)	)	PUNCT
gsjp-14087	52	60	.	.	PUNCT
gsjp-14087	53	1	the	the	DET
gsjp-14087	53	2	normative	normative	ADJ
gsjp-14087	53	3	threshold	threshold	NOUN
gsjp-14087	53	4	approach	approach	NOUN
gsjp-14087	53	5	involves	involve	VERB
gsjp-14087	53	6	the	the	DET
gsjp-14087	53	7	use	use	NOUN
gsjp-14087	53	8	of	of	ADP
gsjp-14087	53	9	response	response	NOUN
gsjp-14087	53	10	time	time	NOUN
gsjp-14087	53	11	cut	cut	VERB
gsjp-14087	53	12	-	-	PUNCT
gsjp-14087	53	13	off	off	ADP
gsjp-14087	53	14	scores	score	NOUN
gsjp-14087	53	15	to	to	PART
gsjp-14087	53	16	identify	identify	VERB
gsjp-14087	53	17	individual	individual	ADJ
gsjp-14087	53	18	items	item	NOUN
gsjp-14087	53	19	that	that	PRON
gsjp-14087	53	20	are	be	AUX
gsjp-14087	53	21	responded	respond	VERB
gsjp-14087	53	22	to	to	ADP
gsjp-14087	53	23	carelessly	carelessly	ADV
gsjp-14087	53	24	(	(	PUNCT
gsjp-14087	53	25	wise	wise	PROPN
gsjp-14087	53	26	&	&	CCONJ
gsjp-14087	53	27	ma	ma	PROPN
gsjp-14087	53	28	,	,	PUNCT
gsjp-14087	53	29	2012	2012	NUM
gsjp-14087	53	30	)	)	PUNCT
gsjp-14087	53	31	.	.	PUNCT
gsjp-14087	54	1	response	response	NOUN
gsjp-14087	54	2	time	time	NOUN
gsjp-14087	54	3	approaches	approach	NOUN
gsjp-14087	54	4	have	have	AUX
gsjp-14087	54	5	been	be	AUX
gsjp-14087	54	6	of	of	ADP
gsjp-14087	54	7	limited	limited	ADJ
gsjp-14087	54	8	utility	utility	NOUN
gsjp-14087	54	9	in	in	ADP
gsjp-14087	54	10	psychological	psychological	ADJ
gsjp-14087	54	11	research	research	NOUN
gsjp-14087	54	12	compared	compare	VERB
gsjp-14087	54	13	to	to	ADP
gsjp-14087	54	14	other	other	ADJ
gsjp-14087	54	15	careless	careless	ADJ
gsjp-14087	54	16	responding	respond	VERB
gsjp-14087	54	17	detection	detection	NOUN
gsjp-14087	54	18	methods	method	NOUN
gsjp-14087	54	19	because	because	SCONJ
gsjp-14087	54	20	this	this	DET
gsjp-14087	54	21	metric	metric	NOUN
gsjp-14087	54	22	is	be	AUX
gsjp-14087	54	23	typically	typically	ADV
gsjp-14087	54	24	available	available	ADJ
gsjp-14087	54	25	at	at	ADP
gsjp-14087	54	26	a	a	DET
gsjp-14087	54	27	page	page	NOUN
gsjp-14087	54	28	or	or	CCONJ
gsjp-14087	54	29	survey	survey	NOUN
gsjp-14087	54	30	level	level	NOUN
gsjp-14087	54	31	(	(	PUNCT
gsjp-14087	54	32	ashley	ashley	PROPN
gsjp-14087	54	33	&	&	CCONJ
gsjp-14087	54	34	shaughnessy	shaughnessy	PROPN
gsjp-14087	54	35	,	,	PUNCT
gsjp-14087	54	36	2021	2021	NUM
gsjp-14087	54	37	;	;	PUNCT
gsjp-14087	54	38	ward	ward	NOUN
gsjp-14087	54	39	&	&	CCONJ
gsjp-14087	54	40	meade	meade	PROPN
gsjp-14087	54	41	,	,	PUNCT
gsjp-14087	54	42	2023	2023	NUM
gsjp-14087	54	43	)	)	PUNCT
gsjp-14087	54	44	.	.	PUNCT
gsjp-14087	55	1	however	however	ADV
gsjp-14087	55	2	,	,	PUNCT
gsjp-14087	55	3	with	with	ADP
gsjp-14087	55	4	item	item	NOUN
gsjp-14087	55	5	response	response	NOUN
gsjp-14087	55	6	time	time	NOUN
gsjp-14087	55	7	available	available	ADJ
gsjp-14087	55	8	at	at	ADP
gsjp-14087	55	9	the	the	DET
gsjp-14087	55	10	item	item	NOUN
gsjp-14087	55	11	level	level	NOUN
gsjp-14087	55	12	,	,	PUNCT
gsjp-14087	55	13	researchers	researcher	NOUN
gsjp-14087	55	14	and	and	CCONJ
gsjp-14087	55	15	clinicians	clinician	NOUN
gsjp-14087	55	16	can	can	AUX
gsjp-14087	55	17	gain	gain	VERB
gsjp-14087	55	18	precision	precision	NOUN
gsjp-14087	55	19	in	in	ADP
gsjp-14087	55	20	identifying	identify	VERB
gsjp-14087	55	21	response	response	NOUN
gsjp-14087	55	22	time	time	NOUN
gsjp-14087	55	23	patterns	pattern	NOUN
gsjp-14087	55	24	of	of	ADP
gsjp-14087	55	25	careless	careless	ADJ
gsjp-14087	55	26	responders	responder	NOUN
gsjp-14087	55	27	in	in	ADP
gsjp-14087	55	28	emotional	emotional	ADJ
gsjp-14087	55	29	distress	distress	NOUN
gsjp-14087	55	30	.	.	PUNCT
gsjp-14087	56	1	the	the	DET
gsjp-14087	56	2	greatest	great	ADJ
gsjp-14087	56	3	contribution	contribution	NOUN
gsjp-14087	56	4	of	of	ADP
gsjp-14087	56	5	item	item	NOUN
gsjp-14087	56	6	response	response	NOUN
gsjp-14087	56	7	time	time	NOUN
gsjp-14087	56	8	to	to	ADP
gsjp-14087	56	9	the	the	DET
gsjp-14087	56	10	careless	careless	ADJ
gsjp-14087	56	11	responding	respond	VERB
gsjp-14087	56	12	literature	literature	NOUN
gsjp-14087	56	13	might	might	AUX
gsjp-14087	56	14	be	be	AUX
gsjp-14087	56	15	its	its	PRON
gsjp-14087	56	16	potential	potential	NOUN
gsjp-14087	56	17	to	to	PART
gsjp-14087	56	18	detect	detect	VERB
gsjp-14087	56	19	careless	careless	ADJ
gsjp-14087	56	20	responders	responder	NOUN
gsjp-14087	56	21	regardless	regardless	ADV
gsjp-14087	56	22	of	of	ADP
gsjp-14087	56	23	the	the	DET
gsjp-14087	56	24	responders	responder	NOUN
gsjp-14087	56	25	’	’	PART
gsjp-14087	56	26	specific	specific	ADJ
gsjp-14087	56	27	response	response	NOUN
gsjp-14087	56	28	style	style	NOUN
gsjp-14087	56	29	(	(	PUNCT
gsjp-14087	56	30	e.g.	e.g.	ADJ
gsjp-14087	56	31	,	,	PUNCT
gsjp-14087	56	32	long	long	ADJ
gsjp-14087	56	33	string	string	NOUN
gsjp-14087	56	34	)	)	PUNCT
gsjp-14087	56	35	,	,	PUNCT
gsjp-14087	56	36	which	which	PRON
gsjp-14087	56	37	gives	give	VERB
gsjp-14087	56	38	researchers	researcher	NOUN
gsjp-14087	56	39	detailed	detailed	ADJ
gsjp-14087	56	40	information	information	NOUN
gsjp-14087	56	41	on	on	ADP
gsjp-14087	56	42	survey	survey	NOUN
gsjp-14087	56	43	response	response	NOUN
gsjp-14087	56	44	patterns	pattern	NOUN
gsjp-14087	56	45	while	while	SCONJ
gsjp-14087	56	46	blocking	block	VERB
gsjp-14087	56	47	respondents	respondent	NOUN
gsjp-14087	56	48	’	'	PUNCT
gsjp-14087	56	49	attempts	attempt	VERB
gsjp-14087	56	50	to	to	PART
gsjp-14087	56	51	mask	mask	VERB
gsjp-14087	56	52	their	their	PRON
gsjp-14087	56	53	response	response	NOUN
gsjp-14087	56	54	style	style	NOUN
gsjp-14087	56	55	(	(	PUNCT
gsjp-14087	56	56	curran	curran	NOUN
gsjp-14087	56	57	,	,	PUNCT
gsjp-14087	56	58	2016	2016	NUM
gsjp-14087	56	59	)	)	PUNCT
gsjp-14087	56	60	.	.	PUNCT
gsjp-14087	57	1	computerized	computerized	ADJ
gsjp-14087	57	2	surveys	survey	NOUN
gsjp-14087	57	3	that	that	PRON
gsjp-14087	57	4	provide	provide	VERB
gsjp-14087	57	5	access	access	NOUN
gsjp-14087	57	6	to	to	ADP
gsjp-14087	57	7	response	response	NOUN
gsjp-14087	57	8	time	time	NOUN
gsjp-14087	57	9	at	at	ADP
gsjp-14087	57	10	the	the	DET
gsjp-14087	57	11	item	item	NOUN
gsjp-14087	57	12	level	level	NOUN
gsjp-14087	57	13	also	also	ADV
gsjp-14087	57	14	create	create	VERB
gsjp-14087	57	15	opportunities	opportunity	NOUN
gsjp-14087	57	16	for	for	ADP
gsjp-14087	57	17	more	more	ADV
gsjp-14087	57	18	sophisticated	sophisticated	ADJ
gsjp-14087	57	19	analyses	analysis	NOUN
gsjp-14087	57	20	.	.	PUNCT
gsjp-14087	58	1	for	for	ADP
gsjp-14087	58	2	example	example	NOUN
gsjp-14087	58	3	,	,	PUNCT
gsjp-14087	58	4	computerized	computerized	ADJ
gsjp-14087	58	5	adaptive	adaptive	ADJ
gsjp-14087	58	6	testing	testing	NOUN
gsjp-14087	58	7	uses	use	VERB
gsjp-14087	58	8	an	an	DET
gsjp-14087	58	9	algorithm	algorithm	NOUN
gsjp-14087	58	10	to	to	PART
gsjp-14087	58	11	select	select	VERB
gsjp-14087	58	12	items	item	NOUN
gsjp-14087	58	13	based	base	VERB
gsjp-14087	58	14	on	on	ADP
gsjp-14087	58	15	previous	previous	ADJ
gsjp-14087	58	16	responses	response	NOUN
gsjp-14087	58	17	to	to	PART
gsjp-14087	58	18	gain	gain	VERB
gsjp-14087	58	19	efficiency	efficiency	NOUN
gsjp-14087	58	20	and	and	CCONJ
gsjp-14087	58	21	precision	precision	NOUN
gsjp-14087	58	22	in	in	ADP
gsjp-14087	58	23	the	the	DET
gsjp-14087	58	24	measurement	measurement	NOUN
gsjp-14087	58	25	of	of	ADP
gsjp-14087	58	26	the	the	DET
gsjp-14087	58	27	ability	ability	NOUN
gsjp-14087	58	28	or	or	CCONJ
gsjp-14087	58	29	trait	trait	NOUN
gsjp-14087	58	30	with	with	ADP
gsjp-14087	58	31	the	the	DET
gsjp-14087	58	32	administration	administration	NOUN
gsjp-14087	58	33	of	of	ADP
gsjp-14087	58	34	fewer	few	ADJ
gsjp-14087	58	35	items	item	NOUN
gsjp-14087	58	36	(	(	PUNCT
gsjp-14087	58	37	wise	wise	ADJ
gsjp-14087	58	38	,	,	PUNCT
gsjp-14087	58	39	2020	2020	NUM
gsjp-14087	58	40	)	)	PUNCT
gsjp-14087	58	41	.	.	PUNCT
gsjp-14087	59	1	companies	company	NOUN
gsjp-14087	59	2	that	that	PRON
gsjp-14087	59	3	produce	produce	VERB
gsjp-14087	59	4	widely	widely	ADV
gsjp-14087	59	5	used	use	VERB
gsjp-14087	59	6	psychological	psychological	ADJ
gsjp-14087	59	7	measures	measure	NOUN
gsjp-14087	59	8	are	be	AUX
gsjp-14087	59	9	increasingly	increasingly	ADV
gsjp-14087	59	10	moving	move	VERB
gsjp-14087	59	11	to	to	PART
gsjp-14087	59	12	computerized	computerized	VERB
gsjp-14087	59	13	adaptive	adaptive	ADJ
gsjp-14087	59	14	formats	format	NOUN
gsjp-14087	59	15	for	for	ADP
gsjp-14087	59	16	reduced	reduce	VERB
gsjp-14087	59	17	testing	testing	NOUN
gsjp-14087	59	18	time	time	NOUN
gsjp-14087	59	19	and	and	CCONJ
gsjp-14087	59	20	ease	ease	NOUN
gsjp-14087	59	21	of	of	ADP
gsjp-14087	59	22	administration	administration	NOUN
gsjp-14087	59	23	and	and	CCONJ
gsjp-14087	59	24	scoring	scoring	NOUN
gsjp-14087	59	25	(	(	PUNCT
gsjp-14087	59	26	forbey	forbey	NOUN
gsjp-14087	59	27	et	et	PROPN
gsjp-14087	59	28	al	al	PROPN
gsjp-14087	59	29	.	.	PROPN
gsjp-14087	59	30	,	,	PUNCT
gsjp-14087	59	31	2012	2012	NUM
gsjp-14087	59	32	)	)	PUNCT
gsjp-14087	59	33	.	.	PUNCT
gsjp-14087	60	1	wise	wise	ADJ
gsjp-14087	60	2	(	(	PUNCT
gsjp-14087	60	3	2020	2020	NUM
gsjp-14087	60	4	)	)	PUNCT
gsjp-14087	60	5	notes	note	VERB
gsjp-14087	60	6	that	that	SCONJ
gsjp-14087	60	7	traditional	traditional	ADJ
gsjp-14087	60	8	approaches	approach	NOUN
gsjp-14087	60	9	to	to	PART
gsjp-14087	60	10	computerized	computerized	VERB
gsjp-14087	60	11	adaptive	adaptive	ADJ
gsjp-14087	60	12	testing	testing	NOUN
gsjp-14087	60	13	in	in	ADP
gsjp-14087	60	14	education	education	NOUN
gsjp-14087	60	15	,	,	PUNCT
gsjp-14087	60	16	which	which	PRON
gsjp-14087	60	17	use	use	VERB
gsjp-14087	60	18	only	only	ADJ
gsjp-14087	60	19	item	item	NOUN
gsjp-14087	60	20	difficulty	difficulty	NOUN
gsjp-14087	60	21	in	in	ADP
gsjp-14087	60	22	adaptation	adaptation	NOUN
gsjp-14087	60	23	algorithms	algorithm	NOUN
gsjp-14087	60	24	,	,	PUNCT
gsjp-14087	60	25	could	could	AUX
gsjp-14087	60	26	be	be	AUX
gsjp-14087	60	27	expanded	expand	VERB
gsjp-14087	60	28	to	to	PART
gsjp-14087	60	29	use	use	VERB
gsjp-14087	60	30	behavioral	behavioral	ADJ
gsjp-14087	60	31	measures	measure	NOUN
gsjp-14087	60	32	such	such	ADJ
gsjp-14087	60	33	as	as	ADP
gsjp-14087	60	34	response	response	NOUN
gsjp-14087	60	35	time	time	NOUN
gsjp-14087	60	36	to	to	PART
gsjp-14087	60	37	improve	improve	VERB
gsjp-14087	60	38	the	the	DET
gsjp-14087	60	39	precision	precision	NOUN
gsjp-14087	60	40	and	and	CCONJ
gsjp-14087	60	41	accuracy	accuracy	NOUN
gsjp-14087	60	42	of	of	ADP
gsjp-14087	60	43	measurement	measurement	NOUN
gsjp-14087	60	44	.	.	PUNCT
gsjp-14087	61	1	computerized	computerized	ADJ
gsjp-14087	61	2	adaptive	adaptive	ADJ
gsjp-14087	61	3	testing	testing	NOUN
gsjp-14087	61	4	relies	rely	VERB
gsjp-14087	61	5	on	on	ADP
gsjp-14087	61	6	advanced	advanced	ADJ
gsjp-14087	61	7	modeling	modeling	NOUN
gsjp-14087	61	8	,	,	PUNCT
gsjp-14087	61	9	such	such	ADJ
gsjp-14087	61	10	as	as	ADP
gsjp-14087	61	11	machine	machine	NOUN
gsjp-14087	61	12	learning	learning	NOUN
gsjp-14087	61	13	approaches	approach	NOUN
gsjp-14087	61	14	,	,	PUNCT
gsjp-14087	61	15	which	which	PRON
gsjp-14087	61	16	can	can	AUX
gsjp-14087	61	17	be	be	AUX
gsjp-14087	61	18	used	use	VERB
gsjp-14087	61	19	to	to	PART
gsjp-14087	61	20	examine	examine	VERB
gsjp-14087	61	21	response	response	NOUN
gsjp-14087	61	22	and	and	CCONJ
gsjp-14087	61	23	response	response	NOUN
gsjp-14087	61	24	time	time	NOUN
gsjp-14087	61	25	patterns	pattern	NOUN
gsjp-14087	61	26	to	to	PART
gsjp-14087	61	27	predict	predict	VERB
gsjp-14087	61	28	emotional	emotional	ADJ
gsjp-14087	61	29	distress	distress	NOUN
gsjp-14087	61	30	.	.	PUNCT
gsjp-14087	62	1	machine	machine	NOUN
gsjp-14087	62	2	learning	learn	VERB
gsjp-14087	62	3	approaches	approach	NOUN
gsjp-14087	62	4	to	to	PART
gsjp-14087	62	5	predict	predict	VERB
gsjp-14087	62	6	emotional	emotional	ADJ
gsjp-14087	62	7	distress	distress	NOUN
gsjp-14087	62	8	several	several	ADJ
gsjp-14087	62	9	researchers	researcher	NOUN
gsjp-14087	62	10	have	have	AUX
gsjp-14087	62	11	used	use	VERB
gsjp-14087	62	12	machine	machine	NOUN
gsjp-14087	62	13	learning	learning	NOUN
gsjp-14087	62	14	methods	method	NOUN
gsjp-14087	62	15	with	with	ADP
gsjp-14087	62	16	item	item	NOUN
gsjp-14087	62	17	response	response	NOUN
gsjp-14087	62	18	data	datum	NOUN
gsjp-14087	62	19	to	to	PART
gsjp-14087	62	20	explore	explore	VERB
gsjp-14087	62	21	patterns	pattern	NOUN
gsjp-14087	62	22	that	that	PRON
gsjp-14087	62	23	inform	inform	VERB
gsjp-14087	62	24	psychologists	psychologist	NOUN
gsjp-14087	62	25	about	about	ADP
gsjp-14087	62	26	how	how	SCONJ
gsjp-14087	62	27	emotionally	emotionally	ADV
gsjp-14087	62	28	distressed	distressed	ADJ
gsjp-14087	62	29	individuals	individual	NOUN
gsjp-14087	62	30	respond	respond	VERB
gsjp-14087	62	31	to	to	ADP
gsjp-14087	62	32	self	self	NOUN
gsjp-14087	62	33	-	-	PUNCT
gsjp-14087	62	34	report	report	NOUN
gsjp-14087	62	35	surveys	survey	NOUN
gsjp-14087	62	36	.	.	PUNCT
gsjp-14087	63	1	this	this	DET
gsjp-14087	63	2	line	line	NOUN
gsjp-14087	63	3	of	of	ADP
gsjp-14087	63	4	research	research	NOUN
gsjp-14087	63	5	stems	stem	VERB
gsjp-14087	63	6	from	from	ADP
gsjp-14087	63	7	machine	machine	NOUN
gsjp-14087	63	8	learning	learning	NOUN
gsjp-14087	63	9	’s	’s	PART
gsjp-14087	63	10	ability	ability	NOUN
gsjp-14087	63	11	to	to	PART
gsjp-14087	63	12	capture	capture	VERB
gsjp-14087	63	13	subtle	subtle	ADJ
gsjp-14087	63	14	patterns	pattern	NOUN
gsjp-14087	63	15	not	not	PART
gsjp-14087	63	16	evident	evident	ADJ
gsjp-14087	63	17	through	through	ADP
gsjp-14087	63	18	traditional	traditional	ADJ
gsjp-14087	63	19	approaches	approach	NOUN
gsjp-14087	63	20	and	and	CCONJ
gsjp-14087	63	21	its	its	PRON
gsjp-14087	63	22	effectiveness	effectiveness	NOUN
gsjp-14087	63	23	in	in	ADP
gsjp-14087	63	24	handling	handle	VERB
gsjp-14087	63	25	the	the	DET
gsjp-14087	63	26	complex	complex	ADJ
gsjp-14087	63	27	interactions	interaction	NOUN
gsjp-14087	63	28	and	and	CCONJ
gsjp-14087	63	29	dependencies	dependency	NOUN
gsjp-14087	63	30	among	among	ADP
gsjp-14087	63	31	variables	variable	NOUN
gsjp-14087	63	32	,	,	PUNCT
gsjp-14087	63	33	which	which	PRON
gsjp-14087	63	34	are	be	AUX
gsjp-14087	63	35	likely	likely	ADJ
gsjp-14087	63	36	to	to	PART
gsjp-14087	63	37	be	be	AUX
gsjp-14087	63	38	common	common	ADJ
gsjp-14087	63	39	in	in	ADP
gsjp-14087	63	40	psychological	psychological	ADJ
gsjp-14087	63	41	assessment	assessment	NOUN
gsjp-14087	63	42	data	datum	NOUN
gsjp-14087	63	43	collected	collect	VERB
gsjp-14087	63	44	by	by	ADP
gsjp-14087	63	45	surveys	survey	NOUN
gsjp-14087	63	46	such	such	ADJ
gsjp-14087	63	47	as	as	ADP
gsjp-14087	63	48	the	the	DET
gsjp-14087	63	49	dass	dass	PROPN
gsjp-14087	63	50	.	.	PUNCT
gsjp-14087	64	1	for	for	ADP
gsjp-14087	64	2	rapid	rapid	ADJ
gsjp-14087	64	3	survey	survey	NOUN
gsjp-14087	64	4	response	response	NOUN
gsjp-14087	64	5	times	time	NOUN
gsjp-14087	64	6	consistent	consistent	ADJ
gsjp-14087	64	7	with	with	ADP
gsjp-14087	64	8	the	the	DET
gsjp-14087	64	9	motivation	motivation	NOUN
gsjp-14087	64	10	to	to	PART
gsjp-14087	64	11	finish	finish	VERB
gsjp-14087	64	12	the	the	DET
gsjp-14087	64	13	survey	survey	NOUN
gsjp-14087	64	14	quickly	quickly	ADV
gsjp-14087	64	15	,	,	PUNCT
gsjp-14087	64	16	have	have	AUX
gsjp-14087	64	17	received	receive	VERB
gsjp-14087	64	18	considerable	considerable	ADJ
gsjp-14087	64	19	review	review	NOUN
gsjp-14087	64	20	within	within	ADP
gsjp-14087	64	21	the	the	DET
gsjp-14087	64	22	literature	literature	NOUN
gsjp-14087	64	23	(	(	PUNCT
gsjp-14087	64	24	ashley	ashley	PROPN
gsjp-14087	64	25	&	&	CCONJ
gsjp-14087	64	26	shaughnessy	shaughnessy	PROPN
gsjp-14087	64	27	,	,	PUNCT
gsjp-14087	64	28	2021	2021	NUM
gsjp-14087	64	29	;	;	PUNCT
gsjp-14087	64	30	curran	curran	NOUN
gsjp-14087	64	31	,	,	PUNCT
gsjp-14087	64	32	2016	2016	NUM
gsjp-14087	64	33	;	;	PUNCT
gsjp-14087	64	34	jones	jones	PROPN
gsjp-14087	64	35	et	et	PROPN
gsjp-14087	64	36	al	al	PROPN
gsjp-14087	64	37	.	.	PROPN
gsjp-14087	64	38	,	,	PUNCT
gsjp-14087	64	39	2022	2022	NUM
gsjp-14087	64	40	;	;	PUNCT
gsjp-14087	64	41	ward	ward	NOUN
gsjp-14087	64	42	&	&	CCONJ
gsjp-14087	64	43	meade	meade	NOUN
gsjp-14087	64	44	,	,	PUNCT
gsjp-14087	64	45	2022	2022	NUM
gsjp-14087	64	46	)	)	PUNCT
gsjp-14087	64	47	.	.	PUNCT
gsjp-14087	65	1	researchers	researcher	NOUN
gsjp-14087	65	2	have	have	AUX
gsjp-14087	65	3	identified	identify	VERB
gsjp-14087	65	4	that	that	SCONJ
gsjp-14087	65	5	response	response	NOUN
gsjp-14087	65	6	time	time	NOUN
gsjp-14087	65	7	has	have	VERB
gsjp-14087	65	8	the	the	DET
gsjp-14087	65	9	potential	potential	NOUN
gsjp-14087	65	10	as	as	ADP
gsjp-14087	65	11	a	a	DET
gsjp-14087	65	12	detection	detection	NOUN
gsjp-14087	65	13	method	method	NOUN
gsjp-14087	65	14	on	on	ADP
gsjp-14087	65	15	computerized	computerized	ADJ
gsjp-14087	65	16	tests	test	NOUN
gsjp-14087	65	17	because	because	SCONJ
gsjp-14087	65	18	it	it	PRON
gsjp-14087	65	19	is	be	AUX
gsjp-14087	65	20	more	more	ADV
gsjp-14087	65	21	difficult	difficult	ADJ
gsjp-14087	65	22	to	to	PART
gsjp-14087	65	23	manipulate	manipulate	VERB
gsjp-14087	65	24	than	than	ADP
gsjp-14087	65	25	other	other	ADJ
gsjp-14087	65	26	methods	method	NOUN
gsjp-14087	65	27	(	(	PUNCT
gsjp-14087	65	28	e.g.	e.g.	ADV
gsjp-14087	65	29	,	,	PUNCT
gsjp-14087	65	30	longstring	longstring	ADJ
gsjp-14087	65	31	,	,	PUNCT
gsjp-14087	65	32	participant	participant	ADJ
gsjp-14087	65	33	-	-	PUNCT
gsjp-14087	65	34	specific	specific	ADJ
gsjp-14087	65	35	reliability	reliability	NOUN
gsjp-14087	65	36	;	;	PUNCT
gsjp-14087	65	37	curran	curran	NOUN
gsjp-14087	65	38	,	,	PUNCT
gsjp-14087	65	39	2016	2016	NUM
gsjp-14087	65	40	)	)	PUNCT
gsjp-14087	65	41	.	.	PUNCT
gsjp-14087	66	1	for	for	ADP
gsjp-14087	66	2	example	example	NOUN
gsjp-14087	66	3	,	,	PUNCT
gsjp-14087	66	4	careless	careless	ADJ
gsjp-14087	66	5	responders	responder	NOUN
gsjp-14087	66	6	who	who	PRON
gsjp-14087	66	7	wish	wish	VERB
gsjp-14087	66	8	to	to	PART
gsjp-14087	66	9	appear	appear	VERB
gsjp-14087	66	10	as	as	ADP
gsjp-14087	66	11	careful	careful	ADJ
gsjp-14087	66	12	may	may	AUX
gsjp-14087	66	13	be	be	AUX
gsjp-14087	66	14	motivated	motivate	VERB
gsjp-14087	66	15	to	to	PART
gsjp-14087	66	16	provide	provide	VERB
gsjp-14087	66	17	response	response	NOUN
gsjp-14087	66	18	patterns	pattern	NOUN
gsjp-14087	66	19	that	that	PRON
gsjp-14087	66	20	mimic	mimic	VERB
gsjp-14087	66	21	normal	normal	ADJ
gsjp-14087	66	22	responses	response	NOUN
gsjp-14087	66	23	(	(	PUNCT
gsjp-14087	66	24	e.g.	e.g.	ADV
gsjp-14087	66	25	,	,	PUNCT
gsjp-14087	66	26	selecting	select	VERB
gsjp-14087	66	27	responses	response	NOUN
gsjp-14087	66	28	consistently	consistently	ADV
gsjp-14087	66	29	at	at	ADP
gsjp-14087	66	30	one	one	NUM
gsjp-14087	66	31	end	end	NOUN
gsjp-14087	66	32	of	of	ADP
gsjp-14087	66	33	the	the	DET
gsjp-14087	66	34	scale	scale	NOUN
gsjp-14087	66	35	with	with	ADP
gsjp-14087	66	36	enough	enough	ADJ
gsjp-14087	66	37	variability	variability	NOUN
gsjp-14087	66	38	to	to	PART
gsjp-14087	66	39	avoid	avoid	VERB
gsjp-14087	66	40	pattern	pattern	NOUN
gsjp-14087	66	41	detection	detection	NOUN
gsjp-14087	66	42	of	of	ADP
gsjp-14087	66	43	longstring	longstre	VERB
gsjp-14087	66	44	and	and	CCONJ
gsjp-14087	66	45	even	even	ADV
gsjp-14087	66	46	-	-	PUNCT
gsjp-14087	66	47	odd	odd	ADJ
gsjp-14087	66	48	styles	style	NOUN
gsjp-14087	66	49	)	)	PUNCT
gsjp-14087	66	50	.	.	PUNCT
gsjp-14087	67	1	due	due	ADP
gsjp-14087	67	2	to	to	ADP
gsjp-14087	67	3	their	their	PRON
gsjp-14087	67	4	desire	desire	NOUN
gsjp-14087	67	5	to	to	PART
gsjp-14087	67	6	finish	finish	VERB
gsjp-14087	67	7	the	the	DET
gsjp-14087	67	8	survey	survey	NOUN
gsjp-14087	67	9	quickly	quickly	ADV
gsjp-14087	67	10	,	,	PUNCT
gsjp-14087	67	11	however	however	ADV
gsjp-14087	67	12	,	,	PUNCT
gsjp-14087	67	13	they	they	PRON
gsjp-14087	67	14	will	will	AUX
gsjp-14087	67	15	likely	likely	ADV
gsjp-14087	67	16	still	still	ADV
gsjp-14087	67	17	have	have	VERB
gsjp-14087	67	18	shorter	short	ADJ
gsjp-14087	67	19	response	response	NOUN
gsjp-14087	67	20	times	time	NOUN
gsjp-14087	67	21	than	than	ADP
gsjp-14087	67	22	careful	careful	ADJ
gsjp-14087	67	23	responders	responder	NOUN
gsjp-14087	67	24	,	,	PUNCT
gsjp-14087	67	25	as	as	SCONJ
gsjp-14087	67	26	demonstrated	demonstrate	VERB
gsjp-14087	67	27	by	by	ADP
gsjp-14087	67	28	schnipke	schnipke	PROPN
gsjp-14087	67	29	and	and	CCONJ
gsjp-14087	67	30	scrams	scrams	PROPN
gsjp-14087	67	31	(	(	PUNCT
gsjp-14087	67	32	1997	1997	NUM
gsjp-14087	67	33	)	)	PUNCT
gsjp-14087	67	34	.	.	PUNCT
gsjp-14087	68	1	careless	careless	ADJ
gsjp-14087	68	2	and	and	CCONJ
gsjp-14087	68	3	careful	careful	ADJ
gsjp-14087	68	4	responders	responder	NOUN
gsjp-14087	68	5	exhibit	exhibit	VERB
gsjp-14087	68	6	distinct	distinct	ADJ
gsjp-14087	68	7	distributions	distribution	NOUN
gsjp-14087	68	8	in	in	ADP
gsjp-14087	68	9	response	response	NOUN
gsjp-14087	68	10	time	time	NOUN
gsjp-14087	68	11	,	,	PUNCT
gsjp-14087	68	12	with	with	ADP
gsjp-14087	68	13	an	an	DET
gsjp-14087	68	14	initial	initial	ADJ
gsjp-14087	68	15	spike	spike	NOUN
gsjp-14087	68	16	in	in	ADP
gsjp-14087	68	17	response	response	NOUN
gsjp-14087	68	18	time	time	NOUN
gsjp-14087	68	19	distribution	distribution	NOUN
gsjp-14087	68	20	attributed	attribute	VERB
gsjp-14087	68	21	to	to	ADP
gsjp-14087	68	22	the	the	DET
gsjp-14087	68	23	former	former	ADJ
gsjp-14087	68	24	.	.	PUNCT
gsjp-14087	69	1	curran	curran	PROPN
gsjp-14087	69	2	(	(	PUNCT
gsjp-14087	69	3	2016	2016	NUM
gsjp-14087	69	4	)	)	PUNCT
gsjp-14087	69	5	used	use	VERB
gsjp-14087	69	6	simulated	simulated	ADJ
gsjp-14087	69	7	data	datum	NOUN
gsjp-14087	69	8	to	to	PART
gsjp-14087	69	9	explore	explore	VERB
gsjp-14087	69	10	distributions	distribution	NOUN
gsjp-14087	69	11	of	of	ADP
gsjp-14087	69	12	response	response	NOUN
gsjp-14087	69	13	time	time	NOUN
gsjp-14087	69	14	in	in	ADP
gsjp-14087	69	15	careless	careless	ADJ
gsjp-14087	69	16	and	and	CCONJ
gsjp-14087	69	17	careful	careful	ADJ
gsjp-14087	69	18	responders	responder	NOUN
gsjp-14087	69	19	and	and	CCONJ
gsjp-14087	69	20	highlighted	highlight	VERB
gsjp-14087	69	21	consideration	consideration	NOUN
gsjp-14087	69	22	of	of	ADP
gsjp-14087	69	23	type	type	NOUN
gsjp-14087	69	24	i	i	PRON
gsjp-14087	69	25	(	(	PUNCT
gsjp-14087	69	26	i.e.	i.e.	X
gsjp-14087	69	27	,	,	PUNCT
gsjp-14087	69	28	falsely	falsely	ADV
gsjp-14087	69	29	identifying	identify	VERB
gsjp-14087	69	30	a	a	DET
gsjp-14087	69	31	careful	careful	ADJ
gsjp-14087	69	32	responder	responder	NOUN
gsjp-14087	69	33	as	as	ADP
gsjp-14087	69	34	careless	careless	ADJ
gsjp-14087	69	35	)	)	PUNCT
gsjp-14087	69	36	and	and	CCONJ
gsjp-14087	69	37	type	type	NOUN
gsjp-14087	69	38	ii	ii	PROPN
gsjp-14087	69	39	errors	error	NOUN
gsjp-14087	69	40	(	(	PUNCT
gsjp-14087	69	41	i.e.	i.e.	X
gsjp-14087	69	42	,	,	PUNCT
gsjp-14087	69	43	falsely	falsely	ADV
gsjp-14087	69	44	identifying	identify	VERB
gsjp-14087	69	45	a	a	DET
gsjp-14087	69	46	careless	careless	ADJ
gsjp-14087	69	47	responder	responder	NOUN
gsjp-14087	69	48	as	as	ADP
gsjp-14087	69	49	careful	careful	ADJ
gsjp-14087	69	50	)	)	PUNCT
gsjp-14087	69	51	in	in	ADP
gsjp-14087	69	52	establishing	establish	VERB
gsjp-14087	69	53	cut	cut	VERB
gsjp-14087	69	54	-	-	PUNCT
gsjp-14087	69	55	off	off	ADP
gsjp-14087	69	56	scores	score	NOUN
gsjp-14087	69	57	due	due	ADP
gsjp-14087	69	58	to	to	ADP
gsjp-14087	69	59	the	the	DET
gsjp-14087	69	60	significant	significant	ADJ
gsjp-14087	69	61	overlap	overlap	NOUN
gsjp-14087	69	62	between	between	ADP
gsjp-14087	69	63	distributions	distribution	NOUN
gsjp-14087	69	64	.	.	PUNCT
gsjp-14087	70	1	researchers	researcher	NOUN
gsjp-14087	70	2	have	have	AUX
gsjp-14087	70	3	used	use	VERB
gsjp-14087	70	4	various	various	ADJ
gsjp-14087	70	5	calculations	calculation	NOUN
gsjp-14087	70	6	to	to	PART
gsjp-14087	70	7	determine	determine	VERB
gsjp-14087	70	8	cut	cut	VERB
gsjp-14087	70	9	-	-	PUNCT
gsjp-14087	70	10	off	off	ADP
gsjp-14087	70	11	scores	score	NOUN
gsjp-14087	70	12	,	,	PUNCT
gsjp-14087	70	13	including	include	VERB
gsjp-14087	70	14	1.5	1.5	NUM
gsjp-14087	70	15	quartiles	quartile	NOUN
gsjp-14087	70	16	above	above	ADP
gsjp-14087	70	17	or	or	CCONJ
gsjp-14087	70	18	below	below	ADP
gsjp-14087	70	19	the	the	DET
gsjp-14087	70	20	median	median	NOUN
gsjp-14087	70	21	(	(	PUNCT
gsjp-14087	70	22	funke	funke	PROPN
gsjp-14087	70	23	,	,	PUNCT
gsjp-14087	70	24	2016	2016	NUM
gsjp-14087	70	25	)	)	PUNCT
gsjp-14087	70	26	,	,	PUNCT
gsjp-14087	70	27	two	two	NUM
gsjp-14087	70	28	standard	standard	ADJ
gsjp-14087	70	29	deviations	deviation	NOUN
gsjp-14087	70	30	above	above	ADP
gsjp-14087	70	31	or	or	CCONJ
gsjp-14087	70	32	below	below	ADP
gsjp-14087	70	33	the	the	DET
gsjp-14087	70	34	mean	mean	NOUN
gsjp-14087	70	35	(	(	PUNCT
gsjp-14087	70	36	heerwegh	heerwegh	PROPN
gsjp-14087	70	37	,	,	PUNCT
gsjp-14087	70	38	2003	2003	NUM
gsjp-14087	70	39	)	)	PUNCT
gsjp-14087	70	40	,	,	PUNCT
gsjp-14087	70	41	one	one	NUM
gsjp-14087	70	42	standard	standard	ADJ
gsjp-14087	70	43	deviation	deviation	NOUN
gsjp-14087	70	44	above	above	ADP
gsjp-14087	70	45	or	or	CCONJ
gsjp-14087	70	46	below	below	ADP
gsjp-14087	70	47	the	the	DET
gsjp-14087	70	48	mean	mean	NOUN
gsjp-14087	70	49	(	(	PUNCT
gsjp-14087	70	50	ashley	ashley	PROPN
gsjp-14087	70	51	&	&	CCONJ
gsjp-14087	70	52	shaughnessy	shaughnessy	PROPN
gsjp-14087	70	53	,	,	PUNCT
gsjp-14087	70	54	2021	2021	NUM
gsjp-14087	70	55	)	)	PUNCT
gsjp-14087	70	56	,	,	PUNCT
gsjp-14087	70	57	and	and	CCONJ
gsjp-14087	70	58	various	various	ADJ
gsjp-14087	70	59	percentiles	percentile	NOUN
gsjp-14087	70	60	(	(	PUNCT
gsjp-14087	70	61	e.g.	e.g.	ADV
gsjp-14087	70	62	,	,	PUNCT
gsjp-14087	70	63	first	first	ADV
gsjp-14087	70	64	percentile	percentile	ADJ
gsjp-14087	70	65	,	,	PUNCT
gsjp-14087	70	66	fifth	fifth	ADJ
gsjp-14087	70	67	percentile	percentile	ADJ
gsjp-14087	70	68	;	;	PUNCT
gsjp-14087	70	69	gummer	gummer	PROPN
gsjp-14087	70	70	&	&	CCONJ
gsjp-14087	70	71	roßmann	roßmann	PROPN
gsjp-14087	70	72	,	,	PUNCT
gsjp-14087	70	73	2015	2015	NUM
gsjp-14087	70	74	;	;	PUNCT
gsjp-14087	70	75	harms	harm	VERB
gsjp-14087	70	76	et	et	PROPN
gsjp-14087	70	77	al	al	PROPN
gsjp-14087	70	78	.	.	PROPN
gsjp-14087	70	79	,	,	PUNCT
gsjp-14087	70	80	2017	2017	NUM
gsjp-14087	70	81	)	)	PUNCT
gsjp-14087	70	82	.	.	PUNCT
gsjp-14087	71	1	some	some	DET
gsjp-14087	71	2	researchers	researcher	NOUN
gsjp-14087	71	3	have	have	AUX
gsjp-14087	71	4	explored	explore	VERB
gsjp-14087	71	5	cut	cut	NOUN
gsjp-14087	71	6	-	-	PUNCT
gsjp-14087	71	7	off	off	ADP
gsjp-14087	71	8	scores	score	NOUN
gsjp-14087	71	9	on	on	ADP
gsjp-14087	71	10	an	an	DET
gsjp-14087	71	11	individual	individual	ADJ
gsjp-14087	71	12	item	item	NOUN
gsjp-14087	71	13	level	level	NOUN
gsjp-14087	71	14	.	.	PUNCT
gsjp-14087	72	1	for	for	ADP
gsjp-14087	72	2	example	example	NOUN
gsjp-14087	72	3	,	,	PUNCT
gsjp-14087	72	4	a	a	DET
gsjp-14087	72	5	2	2	NUM
gsjp-14087	72	6	-	-	PUNCT
gsjp-14087	72	7	second	second	NOUN
gsjp-14087	72	8	-	-	PUNCT
gsjp-14087	72	9	per	per	ADP
gsjp-14087	72	10	-	-	PUNCT
gsjp-14087	72	11	item	item	NOUN
gsjp-14087	72	12	cut	cut	NOUN
gsjp-14087	72	13	-	-	PUNCT
gsjp-14087	72	14	off	off	ADP
gsjp-14087	72	15	score	score	NOUN
gsjp-14087	72	16	is	be	AUX
gsjp-14087	72	17	considered	consider	VERB
gsjp-14087	72	18	a	a	DET
gsjp-14087	72	19	conservative	conservative	ADJ
gsjp-14087	72	20	approach	approach	NOUN
gsjp-14087	72	21	,	,	PUNCT
gsjp-14087	72	22	limiting	limit	VERB
gsjp-14087	72	23	type	type	NOUN
gsjp-14087	72	24	ii	ii	NOUN
gsjp-14087	72	25	errors	error	NOUN
gsjp-14087	72	26	at	at	ADP
gsjp-14087	72	27	the	the	DET
gsjp-14087	72	28	cost	cost	NOUN
gsjp-14087	72	29	of	of	ADP
gsjp-14087	72	30	missing	miss	VERB
gsjp-14087	72	31	some	some	DET
gsjp-14087	72	32	careless	careless	ADJ
gsjp-14087	72	33	responders	responder	NOUN
gsjp-14087	72	34	(	(	PUNCT
gsjp-14087	72	35	bowling	bowling	NOUN
gsjp-14087	72	36	et	et	NOUN
gsjp-14087	72	37	al	al	PROPN
gsjp-14087	72	38	.	.	PROPN
gsjp-14087	72	39	,	,	PUNCT
gsjp-14087	72	40	2016	2016	NUM
gsjp-14087	72	41	;	;	PUNCT
gsjp-14087	72	42	huang	huang	PROPN
gsjp-14087	72	43	et	et	PROPN
gsjp-14087	72	44	al	al	PROPN
gsjp-14087	72	45	.	.	PROPN
gsjp-14087	72	46	,	,	PUNCT
gsjp-14087	72	47	2012	2012	NUM
gsjp-14087	72	48	)	)	PUNCT
gsjp-14087	72	49	.	.	PUNCT
gsjp-14087	73	1	several	several	ADJ
gsjp-14087	73	2	methods	method	NOUN
gsjp-14087	73	3	have	have	AUX
gsjp-14087	73	4	been	be	AUX
gsjp-14087	73	5	used	use	VERB
gsjp-14087	73	6	to	to	PART
gsjp-14087	73	7	determine	determine	VERB
gsjp-14087	73	8	response	response	NOUN
gsjp-14087	73	9	time	time	NOUN
gsjp-14087	73	10	thresholds	threshold	NOUN
gsjp-14087	73	11	for	for	ADP
gsjp-14087	73	12	individual	individual	ADJ
gsjp-14087	73	13	items	item	NOUN
gsjp-14087	73	14	,	,	PUNCT
gsjp-14087	73	15	including	include	VERB
gsjp-14087	73	16	a	a	DET
gsjp-14087	73	17	two	two	NUM
gsjp-14087	73	18	-	-	PUNCT
gsjp-14087	73	19	state	state	NOUN
gsjp-14087	73	20	mixture	mixture	NOUN
gsjp-14087	73	21	model	model	NOUN
gsjp-14087	73	22	(	(	PUNCT
gsjp-14087	73	23	schnipke	schnipke	PROPN
gsjp-14087	73	24	&	&	CCONJ
gsjp-14087	73	25	scrams	scrams	PROPN
gsjp-14087	73	26	,	,	PUNCT
gsjp-14087	73	27	1997	1997	NUM
gsjp-14087	73	28	)	)	PUNCT
gsjp-14087	73	29	,	,	PUNCT
gsjp-14087	73	30	surface	surface	NOUN
gsjp-14087	73	31	-	-	PUNCT
gsjp-14087	73	32	level	level	NOUN
gsjp-14087	73	33	characteristics	characteristic	NOUN
gsjp-14087	73	34	of	of	ADP
gsjp-14087	73	35	items	item	NOUN
gsjp-14087	73	36	(	(	PUNCT
gsjp-14087	73	37	i.e.	i.e.	X
gsjp-14087	73	38	,	,	PUNCT
gsjp-14087	73	39	character	character	NOUN
gsjp-14087	73	40	count	count	NOUN
gsjp-14087	73	41	;	;	PUNCT
gsjp-14087	73	42	wise	wise	PROPN
gsjp-14087	73	43	&	&	CCONJ
gsjp-14087	73	44	kong	kong	PROPN
gsjp-14087	73	45	,	,	PUNCT
gsjp-14087	73	46	2005	2005	NUM
gsjp-14087	73	47	)	)	PUNCT
gsjp-14087	73	48	,	,	PUNCT
gsjp-14087	73	49	and	and	CCONJ
gsjp-14087	73	50	visual	visual	ADJ
gsjp-14087	73	51	inspection	inspection	NOUN
gsjp-14087	73	52	of	of	ADP
gsjp-14087	73	53	the	the	DET
gsjp-14087	73	54	response	response	NOUN
gsjp-14087	73	55	time	time	NOUN
gsjp-14087	73	56	-	-	PUNCT
gsjp-14087	73	57	frequency	frequency	NOUN
gsjp-14087	73	58	distribution	distribution	NOUN
gsjp-14087	73	59	(	(	PUNCT
gsjp-14087	73	60	wise	wise	ADJ
gsjp-14087	73	61	,	,	PUNCT
gsjp-14087	73	62	2006	2006	NUM
gsjp-14087	73	63	)	)	PUNCT
gsjp-14087	73	64	.	.	PUNCT
gsjp-14087	74	1	these	these	DET
gsjp-14087	74	2	three	three	NUM
gsjp-14087	74	3	approaches	approach	NOUN
gsjp-14087	74	4	tend	tend	VERB
gsjp-14087	74	5	to	to	PART
gsjp-14087	74	6	identify	identify	VERB
gsjp-14087	74	7	similar	similar	ADJ
gsjp-14087	74	8	item	item	NOUN
gsjp-14087	74	9	response	response	NOUN
gsjp-14087	74	10	time	time	NOUN
gsjp-14087	74	11	thresholds	threshold	NOUN
gsjp-14087	74	12	(	(	PUNCT
gsjp-14087	74	13	kong	kong	PROPN
gsjp-14087	74	14	et	et	PROPN
gsjp-14087	74	15	al	al	PROPN
gsjp-14087	74	16	.	.	PROPN
gsjp-14087	74	17	,	,	PUNCT
gsjp-14087	74	18	2007	2007	NUM
gsjp-14087	74	19	)	)	PUNCT
gsjp-14087	74	20	.	.	PUNCT
gsjp-14087	75	1	considering	consider	VERB
gsjp-14087	75	2	that	that	SCONJ
gsjp-14087	75	3	items	item	NOUN
gsjp-14087	75	4	vary	vary	VERB
gsjp-14087	75	5	in	in	ADP
gsjp-14087	75	6	the	the	DET
gsjp-14087	75	7	amount	amount	NOUN
gsjp-14087	75	8	of	of	ADP
gsjp-14087	75	9	text	text	NOUN
gsjp-14087	75	10	or	or	CCONJ
gsjp-14087	75	11	how	how	SCONJ
gsjp-14087	75	12	mentally	mentally	ADV
gsjp-14087	75	13	taxing	tax	VERB
gsjp-14087	75	14	they	they	PRON
gsjp-14087	75	15	are	be	AUX
gsjp-14087	75	16	,	,	PUNCT
gsjp-14087	75	17	what	what	PRON
gsjp-14087	75	18	may	may	AUX
gsjp-14087	75	19	be	be	AUX
gsjp-14087	75	20	classified	classify	VERB
gsjp-14087	75	21	as	as	ADP
gsjp-14087	75	22	rapid	rapid	ADJ
gsjp-14087	75	23	responding	responding	NOUN
gsjp-14087	75	24	varies	varie	NOUN
gsjp-14087	75	25	by	by	ADP
gsjp-14087	75	26	the	the	DET
gsjp-14087	75	27	item	item	NOUN
gsjp-14087	75	28	.	.	PUNCT
gsjp-14087	76	1	this	this	PRON
gsjp-14087	76	2	implies	imply	VERB
gsjp-14087	76	3	that	that	SCONJ
gsjp-14087	76	4	greater	great	ADJ
gsjp-14087	76	5	accuracy	accuracy	NOUN
gsjp-14087	76	6	of	of	ADP
gsjp-14087	76	7	careless	careless	ADJ
gsjp-14087	76	8	response	response	NOUN
gsjp-14087	76	9	detection	detection	NOUN
gsjp-14087	76	10	may	may	AUX
gsjp-14087	76	11	be	be	AUX
gsjp-14087	76	12	gained	gain	VERB
gsjp-14087	76	13	by	by	ADP
gsjp-14087	76	14	identifying	identify	VERB
gsjp-14087	76	15	a	a	DET
gsjp-14087	76	16	normative	normative	ADJ
gsjp-14087	76	17	threshold	threshold	NOUN
gsjp-14087	76	18	specific	specific	ADJ
gsjp-14087	76	19	to	to	ADP
gsjp-14087	76	20	each	each	DET
gsjp-14087	76	21	item	item	NOUN
gsjp-14087	76	22	,	,	PUNCT
gsjp-14087	76	23	rather	rather	ADV
gsjp-14087	76	24	than	than	ADP
gsjp-14087	76	25	75	75	NUM
gsjp-14087	76	26	zentner	zentner	NOUN
gsjp-14087	76	27	&	&	CCONJ
gsjp-14087	76	28	yildirim	yildirim	PROPN
gsjp-14087	76	29	-	-	PUNCT
gsjp-14087	76	30	erbasli	erbasli	PROPN
gsjp-14087	76	31	example	example	NOUN
gsjp-14087	76	32	,	,	PUNCT
gsjp-14087	76	33	budiyanto	budiyanto	PROPN
gsjp-14087	76	34	et	et	PROPN
gsjp-14087	76	35	al	al	PROPN
gsjp-14087	76	36	.	.	PROPN
gsjp-14087	77	1	(	(	PUNCT
gsjp-14087	77	2	2019	2019	NUM
gsjp-14087	77	3	)	)	PUNCT
gsjp-14087	77	4	used	use	VERB
gsjp-14087	77	5	text	text	NOUN
gsjp-14087	77	6	mining	mining	NOUN
gsjp-14087	77	7	from	from	ADP
gsjp-14087	77	8	social	social	ADJ
gsjp-14087	77	9	media	medium	NOUN
gsjp-14087	77	10	posts	post	NOUN
gsjp-14087	77	11	to	to	PART
gsjp-14087	77	12	measure	measure	VERB
gsjp-14087	77	13	depression	depression	NOUN
gsjp-14087	77	14	and	and	CCONJ
gsjp-14087	77	15	anxiety	anxiety	NOUN
gsjp-14087	77	16	using	use	VERB
gsjp-14087	77	17	a	a	DET
gsjp-14087	77	18	closed	closed	ADJ
gsjp-14087	77	19	-	-	PUNCT
gsjp-14087	77	20	loop	loop	NOUN
gsjp-14087	77	21	machine	machine	NOUN
gsjp-14087	77	22	learning	learning	NOUN
gsjp-14087	77	23	approach	approach	NOUN
gsjp-14087	77	24	,	,	PUNCT
gsjp-14087	77	25	with	with	ADP
gsjp-14087	77	26	an	an	DET
gsjp-14087	77	27	nb	nb	NOUN
gsjp-14087	77	28	algorithm	algorithm	NOUN
gsjp-14087	77	29	as	as	ADP
gsjp-14087	77	30	a	a	DET
gsjp-14087	77	31	training	training	NOUN
gsjp-14087	77	32	process	process	NOUN
gsjp-14087	77	33	and	and	CCONJ
gsjp-14087	77	34	the	the	DET
gsjp-14087	77	35	dass-21	dass-21	PROPN
gsjp-14087	77	36	parameters	parameter	NOUN
gsjp-14087	77	37	as	as	ADP
gsjp-14087	77	38	a	a	DET
gsjp-14087	77	39	learning	learning	NOUN
gsjp-14087	77	40	process	process	NOUN
gsjp-14087	77	41	.	.	PUNCT
gsjp-14087	78	1	from	from	ADP
gsjp-14087	78	2	this	this	DET
gsjp-14087	78	3	approach	approach	NOUN
gsjp-14087	78	4	,	,	PUNCT
gsjp-14087	78	5	budiyanto	budiyanto	ADP
gsjp-14087	78	6	et	et	PROPN
gsjp-14087	78	7	al	al	PROPN
gsjp-14087	78	8	.	.	PROPN
gsjp-14087	79	1	(	(	PUNCT
gsjp-14087	79	2	2019	2019	NUM
gsjp-14087	79	3	)	)	PUNCT
gsjp-14087	79	4	demonstrated	demonstrate	VERB
gsjp-14087	79	5	the	the	DET
gsjp-14087	79	6	usefulness	usefulness	NOUN
gsjp-14087	79	7	of	of	ADP
gsjp-14087	79	8	machine	machine	NOUN
gsjp-14087	79	9	learning	learning	NOUN
gsjp-14087	79	10	methods	method	NOUN
gsjp-14087	79	11	to	to	PART
gsjp-14087	79	12	collect	collect	VERB
gsjp-14087	79	13	novel	novel	ADJ
gsjp-14087	79	14	information	information	NOUN
gsjp-14087	79	15	about	about	ADP
gsjp-14087	79	16	emotional	emotional	ADJ
gsjp-14087	79	17	distress	distress	NOUN
gsjp-14087	79	18	.	.	PUNCT
gsjp-14087	80	1	other	other	ADJ
gsjp-14087	80	2	studies	study	NOUN
gsjp-14087	80	3	have	have	AUX
gsjp-14087	80	4	found	find	VERB
gsjp-14087	80	5	that	that	SCONJ
gsjp-14087	80	6	various	various	ADJ
gsjp-14087	80	7	machine	machine	NOUN
gsjp-14087	80	8	learning	learning	NOUN
gsjp-14087	80	9	models	model	NOUN
gsjp-14087	80	10	are	be	AUX
gsjp-14087	80	11	useful	useful	ADJ
gsjp-14087	80	12	in	in	ADP
gsjp-14087	80	13	predicting	predict	VERB
gsjp-14087	80	14	depression	depression	NOUN
gsjp-14087	80	15	,	,	PUNCT
gsjp-14087	80	16	anxiety	anxiety	NOUN
gsjp-14087	80	17	,	,	PUNCT
gsjp-14087	80	18	and	and	CCONJ
gsjp-14087	80	19	stress	stress	NOUN
gsjp-14087	80	20	from	from	ADP
gsjp-14087	80	21	the	the	DET
gsjp-14087	80	22	dass-42	dass-42	PROPN
gsjp-14087	80	23	and	and	CCONJ
gsjp-14087	80	24	dass-21	dass-21	PROPN
gsjp-14087	80	25	,	,	PUNCT
gsjp-14087	80	26	with	with	ADP
gsjp-14087	80	27	some	some	DET
gsjp-14087	80	28	machine	machine	NOUN
gsjp-14087	80	29	learning	learning	NOUN
gsjp-14087	80	30	models	model	NOUN
gsjp-14087	80	31	showing	show	VERB
gsjp-14087	80	32	greater	great	ADJ
gsjp-14087	80	33	accuracy	accuracy	NOUN
gsjp-14087	80	34	and	and	CCONJ
gsjp-14087	80	35	efficiency	efficiency	NOUN
gsjp-14087	80	36	than	than	ADP
gsjp-14087	80	37	others	other	NOUN
gsjp-14087	80	38	(	(	PUNCT
gsjp-14087	80	39	kumar	kumar	PROPN
gsjp-14087	80	40	et	et	PROPN
gsjp-14087	80	41	al	al	PROPN
gsjp-14087	80	42	.	.	PROPN
gsjp-14087	80	43	,	,	PUNCT
gsjp-14087	80	44	2020	2020	NUM
gsjp-14087	80	45	;	;	PUNCT
gsjp-14087	80	46	priya	priya	PROPN
gsjp-14087	80	47	et	et	PROPN
gsjp-14087	80	48	al	al	PROPN
gsjp-14087	80	49	.	.	PROPN
gsjp-14087	80	50	,	,	PUNCT
gsjp-14087	80	51	2020	2020	NUM
gsjp-14087	80	52	;	;	PUNCT
gsjp-14087	80	53	srinath	srinath	PROPN
gsjp-14087	80	54	et	et	PROPN
gsjp-14087	80	55	al	al	PROPN
gsjp-14087	80	56	.	.	PROPN
gsjp-14087	80	57	,	,	PUNCT
gsjp-14087	80	58	2022	2022	NUM
gsjp-14087	80	59	)	)	PUNCT
gsjp-14087	80	60	.	.	PUNCT
gsjp-14087	81	1	kumar	kumar	PROPN
gsjp-14087	81	2	et	et	PROPN
gsjp-14087	81	3	al	al	PROPN
gsjp-14087	81	4	.	.	PROPN
gsjp-14087	81	5	(	(	PUNCT
gsjp-14087	81	6	2020	2020	NUM
gsjp-14087	81	7	)	)	PUNCT
gsjp-14087	81	8	predicted	predict	VERB
gsjp-14087	81	9	five	five	NUM
gsjp-14087	81	10	severity	severity	NOUN
gsjp-14087	81	11	levels	level	NOUN
gsjp-14087	81	12	of	of	ADP
gsjp-14087	81	13	emotional	emotional	ADJ
gsjp-14087	81	14	distress	distress	NOUN
gsjp-14087	81	15	by	by	ADP
gsjp-14087	81	16	investigating	investigate	VERB
gsjp-14087	81	17	eight	eight	NUM
gsjp-14087	81	18	machine	machine	NOUN
gsjp-14087	81	19	learning	learn	VERB
gsjp-14087	81	20	algorithms	algorithm	NOUN
gsjp-14087	81	21	trained	train	VERB
gsjp-14087	81	22	on	on	ADP
gsjp-14087	81	23	dass-42	dass-42	PROPN
gsjp-14087	81	24	item	item	NOUN
gsjp-14087	81	25	responses	response	NOUN
gsjp-14087	81	26	,	,	PUNCT
gsjp-14087	81	27	and	and	CCONJ
gsjp-14087	81	28	then	then	ADV
gsjp-14087	81	29	the	the	DET
gsjp-14087	81	30	same	same	ADJ
gsjp-14087	81	31	methods	method	NOUN
gsjp-14087	81	32	were	be	AUX
gsjp-14087	81	33	applied	apply	VERB
gsjp-14087	81	34	to	to	ADP
gsjp-14087	81	35	a	a	DET
gsjp-14087	81	36	second	second	ADJ
gsjp-14087	81	37	dass-21	dass-21	PROPN
gsjp-14087	81	38	dataset	dataset	NOUN
gsjp-14087	81	39	.	.	PUNCT
gsjp-14087	82	1	the	the	DET
gsjp-14087	82	2	results	result	NOUN
gsjp-14087	82	3	showed	show	VERB
gsjp-14087	82	4	that	that	SCONJ
gsjp-14087	82	5	these	these	DET
gsjp-14087	82	6	models	model	NOUN
gsjp-14087	82	7	could	could	AUX
gsjp-14087	82	8	be	be	AUX
gsjp-14087	82	9	used	use	VERB
gsjp-14087	82	10	to	to	PART
gsjp-14087	82	11	predict	predict	VERB
gsjp-14087	82	12	emotional	emotional	ADJ
gsjp-14087	82	13	distress	distress	NOUN
gsjp-14087	82	14	,	,	PUNCT
gsjp-14087	82	15	with	with	ADP
gsjp-14087	82	16	accuracy	accuracy	NOUN
gsjp-14087	82	17	rates	rate	NOUN
gsjp-14087	82	18	between	between	ADP
gsjp-14087	82	19	96.02	96.02	NUM
gsjp-14087	82	20	%	%	NOUN
gsjp-14087	82	21	and	and	CCONJ
gsjp-14087	82	22	97.48	97.48	NUM
gsjp-14087	82	23	%	%	NOUN
gsjp-14087	82	24	for	for	ADP
gsjp-14087	82	25	the	the	DET
gsjp-14087	82	26	subscales	subscale	NOUN
gsjp-14087	82	27	(	(	PUNCT
gsjp-14087	82	28	kumar	kumar	PROPN
gsjp-14087	82	29	et	et	PROPN
gsjp-14087	82	30	al	al	PROPN
gsjp-14087	82	31	.	.	PROPN
gsjp-14087	82	32	,	,	PUNCT
gsjp-14087	82	33	2020	2020	NUM
gsjp-14087	82	34	)	)	PUNCT
gsjp-14087	82	35	.	.	PUNCT
gsjp-14087	83	1	priya	priya	PROPN
gsjp-14087	83	2	et	et	PROPN
gsjp-14087	83	3	al	al	PROPN
gsjp-14087	83	4	.	.	PROPN
gsjp-14087	83	5	(	(	PUNCT
gsjp-14087	83	6	2020	2020	NUM
gsjp-14087	83	7	)	)	PUNCT
gsjp-14087	83	8	applied	apply	VERB
gsjp-14087	83	9	five	five	NUM
gsjp-14087	83	10	machine	machine	NOUN
gsjp-14087	83	11	learning	learning	NOUN
gsjp-14087	83	12	models	model	NOUN
gsjp-14087	83	13	trained	train	VERB
gsjp-14087	83	14	on	on	ADP
gsjp-14087	83	15	item	item	NOUN
gsjp-14087	83	16	response	response	NOUN
gsjp-14087	83	17	data	datum	NOUN
gsjp-14087	83	18	,	,	PUNCT
gsjp-14087	83	19	including	include	VERB
gsjp-14087	83	20	dt	dt	PROPN
gsjp-14087	83	21	,	,	PUNCT
gsjp-14087	83	22	rf	rf	NOUN
gsjp-14087	83	23	,	,	PUNCT
gsjp-14087	83	24	nb	nb	PROPN
gsjp-14087	83	25	,	,	PUNCT
gsjp-14087	83	26	svm	svm	PROPN
gsjp-14087	83	27	,	,	PUNCT
gsjp-14087	83	28	and	and	CCONJ
gsjp-14087	83	29	k	k	X
gsjp-14087	83	30	-	-	PUNCT
gsjp-14087	83	31	nearest	near	ADJ
gsjp-14087	83	32	neighbor	neighbor	NOUN
gsjp-14087	83	33	,	,	PUNCT
gsjp-14087	83	34	to	to	PART
gsjp-14087	83	35	predict	predict	VERB
gsjp-14087	83	36	depression	depression	NOUN
gsjp-14087	83	37	,	,	PUNCT
gsjp-14087	83	38	anxiety	anxiety	NOUN
gsjp-14087	83	39	,	,	PUNCT
gsjp-14087	83	40	and	and	CCONJ
gsjp-14087	83	41	stress	stress	NOUN
gsjp-14087	83	42	levels	level	NOUN
gsjp-14087	83	43	from	from	ADP
gsjp-14087	83	44	a	a	DET
gsjp-14087	83	45	sample	sample	NOUN
gsjp-14087	83	46	of	of	ADP
gsjp-14087	83	47	dass-21	dass-21	PROPN
gsjp-14087	83	48	data	datum	NOUN
gsjp-14087	83	49	.	.	PUNCT
gsjp-14087	84	1	they	they	PRON
gsjp-14087	84	2	found	find	VERB
gsjp-14087	84	3	that	that	SCONJ
gsjp-14087	84	4	the	the	DET
gsjp-14087	84	5	rf	rf	NOUN
gsjp-14087	84	6	classifier	classifier	NOUN
gsjp-14087	84	7	demonstrated	demonstrate	VERB
gsjp-14087	84	8	the	the	DET
gsjp-14087	84	9	best	good	ADJ
gsjp-14087	84	10	performance	performance	NOUN
gsjp-14087	84	11	,	,	PUNCT
gsjp-14087	84	12	with	with	ADP
gsjp-14087	84	13	accuracy	accuracy	NOUN
gsjp-14087	84	14	rates	rate	NOUN
gsjp-14087	84	15	between	between	ADP
gsjp-14087	84	16	71.4	71.4	NUM
gsjp-14087	84	17	%	%	NOUN
gsjp-14087	84	18	and	and	CCONJ
gsjp-14087	84	19	79.8	79.8	NUM
gsjp-14087	84	20	%	%	NOUN
gsjp-14087	84	21	for	for	ADP
gsjp-14087	84	22	dass	dass	PROPN
gsjp-14087	84	23	subscales	subscale	NOUN
gsjp-14087	84	24	.	.	PUNCT
gsjp-14087	85	1	srinath	srinath	PROPN
gsjp-14087	85	2	et	et	PROPN
gsjp-14087	85	3	al	al	PROPN
gsjp-14087	85	4	.	.	PROPN
gsjp-14087	85	5	(	(	PUNCT
gsjp-14087	85	6	2022	2022	NUM
gsjp-14087	85	7	)	)	PUNCT
gsjp-14087	85	8	compared	compare	VERB
gsjp-14087	85	9	svm	svm	ADJ
gsjp-14087	85	10	and	and	CCONJ
gsjp-14087	85	11	logistic	logistic	ADJ
gsjp-14087	85	12	regression	regression	NOUN
gsjp-14087	85	13	using	use	VERB
gsjp-14087	85	14	parameter	parameter	NOUN
gsjp-14087	85	15	tuning	tuning	NOUN
gsjp-14087	85	16	to	to	PART
gsjp-14087	85	17	predict	predict	VERB
gsjp-14087	85	18	depression	depression	NOUN
gsjp-14087	85	19	,	,	PUNCT
gsjp-14087	85	20	anxiety	anxiety	NOUN
gsjp-14087	85	21	,	,	PUNCT
gsjp-14087	85	22	and	and	CCONJ
gsjp-14087	85	23	stress	stress	NOUN
gsjp-14087	85	24	from	from	ADP
gsjp-14087	85	25	dass-42	dass-42	PROPN
gsjp-14087	85	26	item	item	NOUN
gsjp-14087	85	27	response	response	NOUN
gsjp-14087	85	28	data	datum	NOUN
gsjp-14087	85	29	.	.	PUNCT
gsjp-14087	86	1	they	they	PRON
gsjp-14087	86	2	found	find	VERB
gsjp-14087	86	3	that	that	SCONJ
gsjp-14087	86	4	logistic	logistic	ADJ
gsjp-14087	86	5	regression	regression	NOUN
gsjp-14087	86	6	had	have	VERB
gsjp-14087	86	7	the	the	DET
gsjp-14087	86	8	highest	high	ADJ
gsjp-14087	86	9	performance	performance	NOUN
gsjp-14087	86	10	,	,	PUNCT
gsjp-14087	86	11	with	with	ADP
gsjp-14087	86	12	an	an	DET
gsjp-14087	86	13	accuracy	accuracy	NOUN
gsjp-14087	86	14	of	of	ADP
gsjp-14087	86	15	98.15	98.15	NUM
gsjp-14087	86	16	%	%	NOUN
gsjp-14087	86	17	for	for	ADP
gsjp-14087	86	18	depression	depression	NOUN
gsjp-14087	86	19	,	,	PUNCT
gsjp-14087	86	20	98.05	98.05	NUM
gsjp-14087	86	21	%	%	NOUN
gsjp-14087	86	22	for	for	ADP
gsjp-14087	86	23	anxiety	anxiety	NOUN
gsjp-14087	86	24	,	,	PUNCT
gsjp-14087	86	25	and	and	CCONJ
gsjp-14087	86	26	98.45	98.45	NUM
gsjp-14087	86	27	%	%	NOUN
gsjp-14087	86	28	for	for	ADP
gsjp-14087	86	29	stress	stress	NOUN
gsjp-14087	86	30	.	.	PUNCT
gsjp-14087	87	1	in	in	ADP
gsjp-14087	87	2	recent	recent	ADJ
gsjp-14087	87	3	years	year	NOUN
gsjp-14087	87	4	,	,	PUNCT
gsjp-14087	87	5	researchers	researcher	NOUN
gsjp-14087	87	6	have	have	AUX
gsjp-14087	87	7	begun	begin	VERB
gsjp-14087	87	8	to	to	PART
gsjp-14087	87	9	explore	explore	VERB
gsjp-14087	87	10	the	the	DET
gsjp-14087	87	11	utility	utility	NOUN
gsjp-14087	87	12	of	of	ADP
gsjp-14087	87	13	machine	machine	NOUN
gsjp-14087	87	14	learning	learning	NOUN
gsjp-14087	87	15	models	model	NOUN
gsjp-14087	87	16	using	use	VERB
gsjp-14087	87	17	response	response	NOUN
gsjp-14087	87	18	time	time	NOUN
gsjp-14087	87	19	on	on	ADP
gsjp-14087	87	20	behavioral	behavioral	ADJ
gsjp-14087	87	21	tasks	task	NOUN
gsjp-14087	87	22	(	(	PUNCT
gsjp-14087	87	23	i.e.	i.e.	X
gsjp-14087	87	24	,	,	PUNCT
gsjp-14087	87	25	perceptual	perceptual	ADJ
gsjp-14087	87	26	matching	matching	NOUN
gsjp-14087	87	27	task	task	NOUN
gsjp-14087	87	28	)	)	PUNCT
gsjp-14087	87	29	and	and	CCONJ
gsjp-14087	87	30	using	use	VERB
gsjp-14087	87	31	neuroimaging	neuroimage	VERB
gsjp-14087	87	32	and	and	CCONJ
gsjp-14087	87	33	physiological	physiological	ADJ
gsjp-14087	87	34	data	datum	NOUN
gsjp-14087	87	35	(	(	PUNCT
gsjp-14087	87	36	i.e.	i.e.	X
gsjp-14087	87	37	,	,	PUNCT
gsjp-14087	87	38	magnetic	magnetic	ADJ
gsjp-14087	87	39	resonance	resonance	NOUN
gsjp-14087	87	40	imaging	imaging	NOUN
gsjp-14087	87	41	;	;	PUNCT
gsjp-14087	87	42	liu	liu	PROPN
gsjp-14087	87	43	et	et	PROPN
gsjp-14087	87	44	al	al	PROPN
gsjp-14087	87	45	.	.	PROPN
gsjp-14087	87	46	,	,	PUNCT
gsjp-14087	87	47	2022	2022	NUM
gsjp-14087	87	48	)	)	PUNCT
gsjp-14087	87	49	.	.	PUNCT
gsjp-14087	88	1	these	these	DET
gsjp-14087	88	2	studies	study	NOUN
gsjp-14087	88	3	suggest	suggest	VERB
gsjp-14087	88	4	that	that	SCONJ
gsjp-14087	88	5	machine	machine	NOUN
gsjp-14087	88	6	learning	learning	NOUN
gsjp-14087	88	7	has	have	VERB
gsjp-14087	88	8	predictive	predictive	ADJ
gsjp-14087	88	9	potential	potential	NOUN
gsjp-14087	88	10	within	within	ADP
gsjp-14087	88	11	clinical	clinical	ADJ
gsjp-14087	88	12	and	and	CCONJ
gsjp-14087	88	13	counseling	counsel	VERB
gsjp-14087	88	14	psychology	psychology	NOUN
gsjp-14087	88	15	.	.	PUNCT
gsjp-14087	89	1	moreover	moreover	ADV
gsjp-14087	89	2	,	,	PUNCT
gsjp-14087	89	3	priya	priya	PROPN
gsjp-14087	89	4	et	et	PROPN
gsjp-14087	89	5	al	al	PROPN
gsjp-14087	89	6	.	.	PROPN
gsjp-14087	89	7	(	(	PUNCT
gsjp-14087	89	8	2020	2020	NUM
gsjp-14087	89	9	)	)	PUNCT
gsjp-14087	89	10	noted	note	VERB
gsjp-14087	89	11	that	that	SCONJ
gsjp-14087	89	12	the	the	DET
gsjp-14087	89	13	sensitivity	sensitivity	NOUN
gsjp-14087	89	14	and	and	CCONJ
gsjp-14087	89	15	specificity	specificity	NOUN
gsjp-14087	89	16	afforded	afford	VERB
gsjp-14087	89	17	by	by	ADP
gsjp-14087	89	18	machine	machine	NOUN
gsjp-14087	89	19	learning	learning	NOUN
gsjp-14087	89	20	models	model	NOUN
gsjp-14087	89	21	make	make	VERB
gsjp-14087	89	22	these	these	DET
gsjp-14087	89	23	approaches	approach	NOUN
gsjp-14087	89	24	particularly	particularly	ADV
gsjp-14087	89	25	helpful	helpful	ADJ
gsjp-14087	89	26	within	within	ADP
gsjp-14087	89	27	healthcare	healthcare	NOUN
gsjp-14087	89	28	contexts	contexts	NOUN
gsjp-14087	89	29	.	.	PUNCT
gsjp-14087	90	1	current	current	ADJ
gsjp-14087	90	2	research	research	NOUN
gsjp-14087	90	3	considering	consider	VERB
gsjp-14087	90	4	how	how	SCONJ
gsjp-14087	90	5	often	often	ADV
gsjp-14087	90	6	self	self	NOUN
gsjp-14087	90	7	-	-	PUNCT
gsjp-14087	90	8	report	report	NOUN
gsjp-14087	90	9	is	be	AUX
gsjp-14087	90	10	used	use	VERB
gsjp-14087	90	11	to	to	PART
gsjp-14087	90	12	measure	measure	VERB
gsjp-14087	90	13	,	,	PUNCT
gsjp-14087	90	14	research	research	NOUN
gsjp-14087	90	15	,	,	PUNCT
gsjp-14087	90	16	and	and	CCONJ
gsjp-14087	90	17	reduce	reduce	VERB
gsjp-14087	90	18	impairment	impairment	NOUN
gsjp-14087	90	19	from	from	ADP
gsjp-14087	90	20	negative	negative	ADJ
gsjp-14087	90	21	emotional	emotional	ADJ
gsjp-14087	90	22	states	state	NOUN
gsjp-14087	90	23	such	such	ADJ
gsjp-14087	90	24	as	as	ADP
gsjp-14087	90	25	depression	depression	NOUN
gsjp-14087	90	26	,	,	PUNCT
gsjp-14087	90	27	anxiety	anxiety	NOUN
gsjp-14087	90	28	,	,	PUNCT
gsjp-14087	90	29	and	and	CCONJ
gsjp-14087	90	30	stress	stress	NOUN
gsjp-14087	90	31	,	,	PUNCT
gsjp-14087	90	32	further	further	ADJ
gsjp-14087	90	33	exploration	exploration	NOUN
gsjp-14087	90	34	of	of	ADP
gsjp-14087	90	35	careless	careless	ADJ
gsjp-14087	90	36	response	response	NOUN
gsjp-14087	90	37	identification	identification	NOUN
gsjp-14087	90	38	is	be	AUX
gsjp-14087	90	39	needed	need	VERB
gsjp-14087	90	40	to	to	PART
gsjp-14087	90	41	enhance	enhance	VERB
gsjp-14087	90	42	data	datum	NOUN
gsjp-14087	90	43	quality	quality	NOUN
gsjp-14087	90	44	and	and	CCONJ
gsjp-14087	90	45	continue	continue	VERB
gsjp-14087	90	46	to	to	PART
gsjp-14087	90	47	elucidate	elucidate	VERB
gsjp-14087	90	48	the	the	DET
gsjp-14087	90	49	impact	impact	NOUN
gsjp-14087	90	50	of	of	ADP
gsjp-14087	90	51	emotion	emotion	NOUN
gsjp-14087	90	52	on	on	ADP
gsjp-14087	90	53	cognitive	cognitive	ADJ
gsjp-14087	90	54	tasks	task	NOUN
gsjp-14087	90	55	.	.	PUNCT
gsjp-14087	91	1	while	while	SCONJ
gsjp-14087	91	2	response	response	NOUN
gsjp-14087	91	3	time	time	NOUN
gsjp-14087	91	4	has	have	AUX
gsjp-14087	91	5	been	be	AUX
gsjp-14087	91	6	used	use	VERB
gsjp-14087	91	7	as	as	ADP
gsjp-14087	91	8	a	a	DET
gsjp-14087	91	9	measure	measure	NOUN
gsjp-14087	91	10	of	of	ADP
gsjp-14087	91	11	response	response	NOUN
gsjp-14087	91	12	behavior	behavior	NOUN
gsjp-14087	91	13	(	(	PUNCT
gsjp-14087	91	14	e.g.	e.g.	ADV
gsjp-14087	91	15	,	,	PUNCT
gsjp-14087	91	16	kong	kong	PROPN
gsjp-14087	91	17	et	et	PROPN
gsjp-14087	91	18	al	al	PROPN
gsjp-14087	91	19	.	.	PROPN
gsjp-14087	91	20	,	,	PUNCT
gsjp-14087	91	21	2007	2007	NUM
gsjp-14087	91	22	)	)	PUNCT
gsjp-14087	91	23	,	,	PUNCT
gsjp-14087	91	24	more	more	ADJ
gsjp-14087	91	25	study	study	NOUN
gsjp-14087	91	26	of	of	ADP
gsjp-14087	91	27	careless	careless	ADJ
gsjp-14087	91	28	response	response	NOUN
gsjp-14087	91	29	detection	detection	NOUN
gsjp-14087	91	30	within	within	ADP
gsjp-14087	91	31	emotionally	emotionally	ADV
gsjp-14087	91	32	distressed	distressed	ADJ
gsjp-14087	91	33	populations	population	NOUN
gsjp-14087	91	34	is	be	AUX
gsjp-14087	91	35	needed	need	VERB
gsjp-14087	91	36	to	to	PART
gsjp-14087	91	37	determine	determine	VERB
gsjp-14087	91	38	effective	effective	ADJ
gsjp-14087	91	39	ways	way	NOUN
gsjp-14087	91	40	to	to	PART
gsjp-14087	91	41	identify	identify	VERB
gsjp-14087	91	42	and	and	CCONJ
gsjp-14087	91	43	deal	deal	VERB
gsjp-14087	91	44	with	with	ADP
gsjp-14087	91	45	potentially	potentially	ADV
gsjp-14087	91	46	invalid	invalid	ADJ
gsjp-14087	91	47	data	datum	NOUN
gsjp-14087	91	48	.	.	PUNCT
gsjp-14087	92	1	in	in	ADP
gsjp-14087	92	2	addition	addition	NOUN
gsjp-14087	92	3	,	,	PUNCT
gsjp-14087	92	4	the	the	DET
gsjp-14087	92	5	use	use	NOUN
gsjp-14087	92	6	of	of	ADP
gsjp-14087	92	7	machine	machine	NOUN
gsjp-14087	92	8	learning	learning	NOUN
gsjp-14087	92	9	approaches	approach	NOUN
gsjp-14087	92	10	can	can	AUX
gsjp-14087	92	11	facilitate	facilitate	VERB
gsjp-14087	92	12	the	the	DET
gsjp-14087	92	13	identification	identification	NOUN
gsjp-14087	92	14	of	of	ADP
gsjp-14087	92	15	complex	complex	ADJ
gsjp-14087	92	16	patterns	pattern	NOUN
gsjp-14087	92	17	and	and	CCONJ
gsjp-14087	92	18	relationships	relationship	NOUN
gsjp-14087	92	19	that	that	PRON
gsjp-14087	92	20	may	may	AUX
gsjp-14087	92	21	not	not	PART
gsjp-14087	92	22	be	be	AUX
gsjp-14087	92	23	apparent	apparent	ADJ
gsjp-14087	92	24	through	through	ADP
gsjp-14087	92	25	traditional	traditional	ADJ
gsjp-14087	92	26	statistical	statistical	ADJ
gsjp-14087	92	27	methods	method	NOUN
gsjp-14087	92	28	.	.	PUNCT
gsjp-14087	93	1	there	there	PRON
gsjp-14087	93	2	is	be	VERB
gsjp-14087	93	3	a	a	DET
gsjp-14087	93	4	recent	recent	ADJ
gsjp-14087	93	5	body	body	NOUN
gsjp-14087	93	6	of	of	ADP
gsjp-14087	93	7	literature	literature	NOUN
gsjp-14087	93	8	on	on	ADP
gsjp-14087	93	9	the	the	DET
gsjp-14087	93	10	use	use	NOUN
gsjp-14087	93	11	of	of	ADP
gsjp-14087	93	12	machine	machine	NOUN
gsjp-14087	93	13	learning	learn	VERB
gsjp-14087	93	14	approaches	approach	NOUN
gsjp-14087	93	15	to	to	PART
gsjp-14087	93	16	predict	predict	VERB
gsjp-14087	93	17	emotional	emotional	ADJ
gsjp-14087	93	18	distress	distress	NOUN
gsjp-14087	93	19	using	use	VERB
gsjp-14087	93	20	item	item	NOUN
gsjp-14087	93	21	response	response	NOUN
gsjp-14087	93	22	data	datum	NOUN
gsjp-14087	93	23	(	(	PUNCT
gsjp-14087	93	24	e.g.	e.g.	ADV
gsjp-14087	93	25	,	,	PUNCT
gsjp-14087	93	26	srinath	srinath	PROPN
gsjp-14087	93	27	et	et	PROPN
gsjp-14087	93	28	al	al	PROPN
gsjp-14087	93	29	.	.	PROPN
gsjp-14087	93	30	,	,	PUNCT
gsjp-14087	93	31	2022	2022	NUM
gsjp-14087	93	32	)	)	PUNCT
gsjp-14087	93	33	.	.	PUNCT
gsjp-14087	94	1	however	however	ADV
gsjp-14087	94	2	,	,	PUNCT
gsjp-14087	94	3	this	this	DET
gsjp-14087	94	4	study	study	NOUN
gsjp-14087	94	5	proposes	propose	VERB
gsjp-14087	94	6	incorporating	incorporate	VERB
gsjp-14087	94	7	response	response	NOUN
gsjp-14087	94	8	time	time	NOUN
gsjp-14087	94	9	in	in	ADP
gsjp-14087	94	10	addition	addition	NOUN
gsjp-14087	94	11	to	to	ADP
gsjp-14087	94	12	item	item	NOUN
gsjp-14087	94	13	responses	response	NOUN
gsjp-14087	94	14	,	,	PUNCT
gsjp-14087	94	15	as	as	SCONJ
gsjp-14087	94	16	response	response	NOUN
gsjp-14087	94	17	time	time	NOUN
gsjp-14087	94	18	can	can	AUX
gsjp-14087	94	19	provide	provide	VERB
gsjp-14087	94	20	insights	insight	NOUN
gsjp-14087	94	21	beyond	beyond	ADP
gsjp-14087	94	22	the	the	DET
gsjp-14087	94	23	responses	response	NOUN
gsjp-14087	94	24	themselves	themselves	PRON
gsjp-14087	94	25	(	(	PUNCT
gsjp-14087	94	26	van	van	PROPN
gsjp-14087	94	27	der	der	PROPN
gsjp-14087	94	28	linden	linden	PROPN
gsjp-14087	94	29	et	et	PROPN
gsjp-14087	94	30	al	al	PROPN
gsjp-14087	94	31	.	.	PROPN
gsjp-14087	94	32	,	,	PUNCT
gsjp-14087	94	33	2010	2010	NUM
gsjp-14087	94	34	)	)	PUNCT
gsjp-14087	94	35	.	.	PUNCT
gsjp-14087	95	1	the	the	DET
gsjp-14087	95	2	present	present	ADJ
gsjp-14087	95	3	exploratory	exploratory	ADJ
gsjp-14087	95	4	study	study	NOUN
gsjp-14087	95	5	aims	aim	VERB
gsjp-14087	95	6	to	to	PART
gsjp-14087	95	7	address	address	VERB
gsjp-14087	95	8	these	these	DET
gsjp-14087	95	9	gaps	gap	NOUN
gsjp-14087	95	10	in	in	ADP
gsjp-14087	95	11	the	the	DET
gsjp-14087	95	12	literature	literature	NOUN
gsjp-14087	95	13	by	by	ADP
gsjp-14087	95	14	examining	examine	VERB
gsjp-14087	95	15	the	the	DET
gsjp-14087	95	16	relationship	relationship	NOUN
gsjp-14087	95	17	between	between	ADP
gsjp-14087	95	18	careless	careless	ADJ
gsjp-14087	95	19	responding	respond	VERB
gsjp-14087	95	20	and	and	CCONJ
gsjp-14087	95	21	emotional	emotional	ADJ
gsjp-14087	95	22	distress	distress	NOUN
gsjp-14087	95	23	,	,	PUNCT
gsjp-14087	95	24	as	as	ADV
gsjp-14087	95	25	well	well	ADV
gsjp-14087	95	26	as	as	ADP
gsjp-14087	95	27	exploring	explore	VERB
gsjp-14087	95	28	the	the	DET
gsjp-14087	95	29	potential	potential	ADJ
gsjp-14087	95	30	utility	utility	NOUN
gsjp-14087	95	31	of	of	ADP
gsjp-14087	95	32	incorporating	incorporate	VERB
gsjp-14087	95	33	response	response	NOUN
gsjp-14087	95	34	time	time	NOUN
gsjp-14087	95	35	in	in	ADP
gsjp-14087	95	36	machine	machine	NOUN
gsjp-14087	95	37	learning	learning	NOUN
gsjp-14087	95	38	models	model	NOUN
gsjp-14087	95	39	for	for	ADP
gsjp-14087	95	40	predicting	predict	VERB
gsjp-14087	95	41	emotional	emotional	ADJ
gsjp-14087	95	42	distress	distress	NOUN
gsjp-14087	95	43	.	.	PUNCT
gsjp-14087	96	1	in	in	ADP
gsjp-14087	96	2	this	this	DET
gsjp-14087	96	3	paper	paper	NOUN
gsjp-14087	96	4	,	,	PUNCT
gsjp-14087	96	5	the	the	DET
gsjp-14087	96	6	following	follow	VERB
gsjp-14087	96	7	research	research	NOUN
gsjp-14087	96	8	questions	question	NOUN
gsjp-14087	96	9	were	be	AUX
gsjp-14087	96	10	investigated	investigate	VERB
gsjp-14087	96	11	:	:	PUNCT
gsjp-14087	96	12	1	1	X
gsjp-14087	96	13	.	.	PUNCT
gsjp-14087	96	14	is	be	AUX
gsjp-14087	96	15	there	there	PRON
gsjp-14087	96	16	an	an	DET
gsjp-14087	96	17	association	association	NOUN
gsjp-14087	96	18	between	between	ADP
gsjp-14087	96	19	careless	careless	ADJ
gsjp-14087	96	20	responding	respond	VERB
gsjp-14087	96	21	and	and	CCONJ
gsjp-14087	96	22	emotional	emotional	ADJ
gsjp-14087	96	23	distress	distress	NOUN
gsjp-14087	96	24	(	(	PUNCT
gsjp-14087	96	25	i.e.	i.e.	X
gsjp-14087	96	26	,	,	PUNCT
gsjp-14087	96	27	depression	depression	NOUN
gsjp-14087	96	28	,	,	PUNCT
gsjp-14087	96	29	anxiety	anxiety	NOUN
gsjp-14087	96	30	,	,	PUNCT
gsjp-14087	96	31	and	and	CCONJ
gsjp-14087	96	32	stress	stress	NOUN
gsjp-14087	96	33	)	)	PUNCT
gsjp-14087	96	34	?	?	PUNCT
gsjp-14087	97	1	2	2	X
gsjp-14087	97	2	.	.	X
gsjp-14087	97	3	can	can	AUX
gsjp-14087	97	4	machine	machine	NOUN
gsjp-14087	97	5	learning	learning	NOUN
gsjp-14087	97	6	models	model	NOUN
gsjp-14087	97	7	identify	identify	VERB
gsjp-14087	97	8	emotionally	emotionally	ADV
gsjp-14087	97	9	distressed	distressed	ADJ
gsjp-14087	97	10	people	people	NOUN
gsjp-14087	97	11	using	use	VERB
gsjp-14087	97	12	item	item	NOUN
gsjp-14087	97	13	responses	response	NOUN
gsjp-14087	97	14	and	and	CCONJ
gsjp-14087	97	15	response	response	NOUN
gsjp-14087	97	16	time	time	NOUN
gsjp-14087	97	17	?	?	PUNCT
gsjp-14087	98	1	methods	method	NOUN
gsjp-14087	98	2	the	the	DET
gsjp-14087	98	3	dass-42	dass-42	PROPN
gsjp-14087	98	4	is	be	AUX
gsjp-14087	98	5	a	a	DET
gsjp-14087	98	6	well	well	ADV
gsjp-14087	98	7	-	-	PUNCT
gsjp-14087	98	8	established	establish	VERB
gsjp-14087	98	9	measure	measure	NOUN
gsjp-14087	98	10	of	of	ADP
gsjp-14087	98	11	emotional	emotional	ADJ
gsjp-14087	98	12	distress	distress	NOUN
gsjp-14087	98	13	with	with	ADP
gsjp-14087	98	14	42	42	NUM
gsjp-14087	98	15	items	item	NOUN
gsjp-14087	98	16	such	such	ADJ
gsjp-14087	98	17	as	as	ADP
gsjp-14087	98	18	,	,	PUNCT
gsjp-14087	98	19	“	"	PUNCT
gsjp-14087	98	20	i	i	PRON
gsjp-14087	98	21	felt	feel	VERB
gsjp-14087	98	22	that	that	SCONJ
gsjp-14087	98	23	life	life	NOUN
gsjp-14087	98	24	was	be	AUX
gsjp-14087	98	25	meaningless	meaningless	ADJ
gsjp-14087	98	26	”	"	PUNCT
gsjp-14087	98	27	in	in	ADP
gsjp-14087	98	28	the	the	DET
gsjp-14087	98	29	depression	depression	NOUN
gsjp-14087	98	30	subscale	subscale	NOUN
gsjp-14087	98	31	,	,	PUNCT
gsjp-14087	98	32	“	"	PUNCT
gsjp-14087	98	33	i	i	PRON
gsjp-14087	98	34	was	be	AUX
gsjp-14087	98	35	aware	aware	ADJ
gsjp-14087	98	36	of	of	ADP
gsjp-14087	98	37	dryness	dryness	NOUN
gsjp-14087	98	38	in	in	ADP
gsjp-14087	98	39	my	my	PRON
gsjp-14087	98	40	mouth	mouth	NOUN
gsjp-14087	98	41	”	"	PUNCT
gsjp-14087	98	42	in	in	ADP
gsjp-14087	98	43	the	the	DET
gsjp-14087	98	44	anxiety	anxiety	NOUN
gsjp-14087	98	45	subscale	subscale	NOUN
gsjp-14087	98	46	,	,	PUNCT
gsjp-14087	98	47	and	and	CCONJ
gsjp-14087	98	48	“	"	PUNCT
gsjp-14087	98	49	i	i	PRON
gsjp-14087	98	50	found	find	VERB
gsjp-14087	98	51	that	that	SCONJ
gsjp-14087	98	52	i	i	PRON
gsjp-14087	98	53	was	be	AUX
gsjp-14087	98	54	very	very	ADV
gsjp-14087	98	55	irritable	irritable	ADJ
gsjp-14087	98	56	”	"	PUNCT
gsjp-14087	98	57	in	in	ADP
gsjp-14087	98	58	the	the	DET
gsjp-14087	98	59	stress	stress	NOUN
gsjp-14087	98	60	subscale	subscale	NOUN
gsjp-14087	98	61	on	on	ADP
gsjp-14087	98	62	a	a	DET
gsjp-14087	98	63	scale	scale	NOUN
gsjp-14087	98	64	of	of	ADP
gsjp-14087	98	65	0	0	NUM
gsjp-14087	98	66	(	(	PUNCT
gsjp-14087	98	67	did	do	AUX
gsjp-14087	98	68	not	not	PART
gsjp-14087	98	69	apply	apply	VERB
gsjp-14087	98	70	to	to	ADP
gsjp-14087	98	71	me	i	PRON
gsjp-14087	98	72	at	at	ADV
gsjp-14087	98	73	all	all	ADV
gsjp-14087	98	74	)	)	PUNCT
gsjp-14087	98	75	to	to	ADP
gsjp-14087	98	76	3	3	NUM
gsjp-14087	98	77	(	(	PUNCT
gsjp-14087	98	78	applied	apply	VERB
gsjp-14087	98	79	to	to	ADP
gsjp-14087	98	80	me	i	PRON
gsjp-14087	98	81	very	very	ADV
gsjp-14087	98	82	much	much	ADV
gsjp-14087	98	83	or	or	CCONJ
gsjp-14087	98	84	most	most	ADJ
gsjp-14087	98	85	of	of	ADP
gsjp-14087	98	86	the	the	DET
gsjp-14087	98	87	time	time	NOUN
gsjp-14087	98	88	;	;	PUNCT
gsjp-14087	98	89	lovibond	lovibond	NOUN
gsjp-14087	98	90	&	&	CCONJ
gsjp-14087	98	91	lovibond	lovibond	PROPN
gsjp-14087	98	92	,	,	PUNCT
gsjp-14087	98	93	1995	1995	NUM
gsjp-14087	98	94	)	)	PUNCT
gsjp-14087	98	95	.	.	PUNCT
gsjp-14087	99	1	the	the	DET
gsjp-14087	99	2	subscales	subscale	NOUN
gsjp-14087	99	3	assess	assess	VERB
gsjp-14087	99	4	depression	depression	NOUN
gsjp-14087	99	5	(	(	PUNCT
gsjp-14087	99	6	α	α	NOUN
gsjp-14087	99	7	=	=	SYM
gsjp-14087	99	8	.97	.97	NUM
gsjp-14087	99	9	)	)	PUNCT
gsjp-14087	99	10	,	,	PUNCT
gsjp-14087	99	11	anxiety	anxiety	NOUN
gsjp-14087	99	12	(	(	PUNCT
gsjp-14087	99	13	α	α	NOUN
gsjp-14087	99	14	=	=	NOUN
gsjp-14087	99	15	.92	.92	NUM
gsjp-14087	99	16	)	)	PUNCT
gsjp-14087	99	17	,	,	PUNCT
gsjp-14087	99	18	and	and	CCONJ
gsjp-14087	99	19	stress	stress	NOUN
gsjp-14087	99	20	(	(	PUNCT
gsjp-14087	99	21	α	α	NOUN
gsjp-14087	99	22	=	=	NOUN
gsjp-14087	99	23	.95	.95	NUM
gsjp-14087	99	24	)	)	PUNCT
gsjp-14087	99	25	as	as	ADP
gsjp-14087	99	26	separate	separate	ADJ
gsjp-14087	99	27	constructs	construct	NOUN
gsjp-14087	99	28	with	with	ADP
gsjp-14087	99	29	14	14	NUM
gsjp-14087	99	30	items	item	NOUN
gsjp-14087	99	31	each	each	PRON
gsjp-14087	99	32	,	,	PUNCT
gsjp-14087	99	33	and	and	CCONJ
gsjp-14087	99	34	each	each	PRON
gsjp-14087	99	35	demonstrates	demonstrate	VERB
gsjp-14087	99	36	high	high	ADJ
gsjp-14087	99	37	internal	internal	ADJ
gsjp-14087	99	38	consistency	consistency	NOUN
gsjp-14087	99	39	(	(	PUNCT
gsjp-14087	99	40	antony	antony	PROPN
gsjp-14087	99	41	et	et	PROPN
gsjp-14087	99	42	al	al	PROPN
gsjp-14087	99	43	.	.	PROPN
gsjp-14087	99	44	,	,	PUNCT
gsjp-14087	99	45	1998	1998	NUM
gsjp-14087	99	46	)	)	PUNCT
gsjp-14087	99	47	.	.	PUNCT
gsjp-14087	100	1	to	to	PART
gsjp-14087	100	2	address	address	VERB
gsjp-14087	100	3	the	the	DET
gsjp-14087	100	4	research	research	NOUN
gsjp-14087	100	5	questions	question	NOUN
gsjp-14087	100	6	in	in	ADP
gsjp-14087	100	7	this	this	DET
gsjp-14087	100	8	study	study	NOUN
gsjp-14087	100	9	,	,	PUNCT
gsjp-14087	100	10	the	the	DET
gsjp-14087	100	11	dataset	dataset	NOUN
gsjp-14087	100	12	was	be	AUX
gsjp-14087	100	13	pulled	pull	VERB
gsjp-14087	100	14	from	from	ADP
gsjp-14087	100	15	the	the	DET
gsjp-14087	100	16	open	open	ADJ
gsjp-14087	100	17	source	source	NOUN
gsjp-14087	100	18	psychometrics	psychometric	NOUN
gsjp-14087	100	19	project	project	NOUN
gsjp-14087	100	20	(	(	PUNCT
gsjp-14087	100	21	2019	2019	NUM
gsjp-14087	100	22	)	)	PUNCT
gsjp-14087	100	23	,	,	PUNCT
gsjp-14087	100	24	which	which	PRON
gsjp-14087	100	25	offers	offer	VERB
gsjp-14087	100	26	public	public	ADJ
gsjp-14087	100	27	datasets	dataset	NOUN
gsjp-14087	100	28	.	.	PUNCT
gsjp-14087	101	1	the	the	DET
gsjp-14087	101	2	survey	survey	NOUN
gsjp-14087	101	3	was	be	AUX
gsjp-14087	101	4	open	open	ADJ
gsjp-14087	101	5	for	for	SCONJ
gsjp-14087	101	6	anyone	anyone	PRON
gsjp-14087	101	7	to	to	PART
gsjp-14087	101	8	complete	complete	VERB
gsjp-14087	101	9	,	,	PUNCT
gsjp-14087	101	10	meaning	mean	VERB
gsjp-14087	101	11	the	the	DET
gsjp-14087	101	12	sample	sample	NOUN
gsjp-14087	101	13	may	may	AUX
gsjp-14087	101	14	include	include	VERB
gsjp-14087	101	15	a	a	DET
gsjp-14087	101	16	mixture	mixture	NOUN
gsjp-14087	101	17	of	of	ADP
gsjp-14087	101	18	clinical	clinical	ADJ
gsjp-14087	101	19	and	and	CCONJ
gsjp-14087	101	20	non	non	ADJ
gsjp-14087	101	21	-	-	ADJ
gsjp-14087	101	22	clinical	clinical	ADJ
gsjp-14087	101	23	populations	population	NOUN
gsjp-14087	101	24	.	.	PUNCT
gsjp-14087	102	1	participants	participant	NOUN
gsjp-14087	102	2	received	receive	VERB
gsjp-14087	102	3	only	only	ADV
gsjp-14087	102	4	their	their	PRON
gsjp-14087	102	5	personalized	personalize	VERB
gsjp-14087	102	6	results	result	NOUN
gsjp-14087	102	7	in	in	ADP
gsjp-14087	102	8	return	return	NOUN
gsjp-14087	102	9	for	for	ADP
gsjp-14087	102	10	their	their	PRON
gsjp-14087	102	11	participation	participation	NOUN
gsjp-14087	102	12	.	.	PUNCT
gsjp-14087	103	1	the	the	DET
gsjp-14087	103	2	dataset	dataset	NOUN
gsjp-14087	103	3	was	be	AUX
gsjp-14087	103	4	pre	pre	VERB
gsjp-14087	103	5	-	-	VERB
gsjp-14087	103	6	cleaned	clean	VERB
gsjp-14087	103	7	upon	upon	SCONJ
gsjp-14087	103	8	download	download	NOUN
gsjp-14087	103	9	–	–	PUNCT
gsjp-14087	103	10	–	–	PUNCT
gsjp-14087	103	11	negative	negative	ADJ
gsjp-14087	103	12	response	response	NOUN
gsjp-14087	103	13	times	time	NOUN
gsjp-14087	103	14	were	be	AUX
gsjp-14087	103	15	recoded	recode	VERB
gsjp-14087	103	16	to	to	ADP
gsjp-14087	103	17	missing	miss	VERB
gsjp-14087	103	18	values	value	NOUN
gsjp-14087	103	19	,	,	PUNCT
gsjp-14087	103	20	and	and	CCONJ
gsjp-14087	103	21	milliseconds	millisecond	NOUN
gsjp-14087	103	22	were	be	AUX
gsjp-14087	103	23	transformed	transform	VERB
gsjp-14087	103	24	into	into	ADP
gsjp-14087	103	25	seconds	second	NOUN
gsjp-14087	103	26	.	.	PUNCT
gsjp-14087	104	1	data	datum	NOUN
gsjp-14087	104	2	analysis	analysis	NOUN
gsjp-14087	104	3	was	be	AUX
gsjp-14087	104	4	conducted	conduct	VERB
gsjp-14087	104	5	using	use	VERB
gsjp-14087	104	6	jamovi	jamovi	NOUN
gsjp-14087	104	7	and	and	CCONJ
gsjp-14087	104	8	r	r	NOUN
gsjp-14087	104	9	programming	programming	NOUN
gsjp-14087	104	10	languages	language	NOUN
gsjp-14087	104	11	.	.	PUNCT
gsjp-14087	105	1	the	the	DET
gsjp-14087	105	2	sample	sample	NOUN
gsjp-14087	105	3	consisted	consist	VERB
gsjp-14087	105	4	of	of	ADP
gsjp-14087	105	5	37,819	37,819	NUM
gsjp-14087	105	6	participants	participant	NOUN
gsjp-14087	105	7	who	who	PRON
gsjp-14087	105	8	completed	complete	VERB
gsjp-14087	105	9	the	the	DET
gsjp-14087	105	10	online	online	ADJ
gsjp-14087	105	11	survey	survey	NOUN
gsjp-14087	105	12	on	on	ADP
gsjp-14087	105	13	a	a	DET
gsjp-14087	105	14	scale	scale	NOUN
gsjp-14087	105	15	of	of	ADP
gsjp-14087	105	16	1	1	NUM
gsjp-14087	105	17	to	to	PART
gsjp-14087	105	18	4	4	NUM
gsjp-14087	105	19	between	between	ADP
gsjp-14087	105	20	2017	2017	NUM
gsjp-14087	105	21	and	and	CCONJ
gsjp-14087	105	22	2019	2019	NUM
gsjp-14087	105	23	,	,	PUNCT
gsjp-14087	105	24	76	76	NUM
gsjp-14087	105	25	aged	aged	ADJ
gsjp-14087	105	26	13	13	NUM
gsjp-14087	105	27	to	to	PART
gsjp-14087	105	28	79	79	NUM
gsjp-14087	105	29	years	year	NOUN
gsjp-14087	105	30	(	(	PUNCT
gsjp-14087	105	31	m	m	PROPN
gsjp-14087	105	32	=	=	SYM
gsjp-14087	105	33	23.39	23.39	NUM
gsjp-14087	105	34	,	,	PUNCT
gsjp-14087	105	35	sd	sd	ADP
gsjp-14087	105	36	=	=	SYM
gsjp-14087	105	37	8.57	8.57	NUM
gsjp-14087	105	38	)	)	PUNCT
gsjp-14087	105	39	.	.	PUNCT
gsjp-14087	106	1	sociodemographic	sociodemographic	ADJ
gsjp-14087	106	2	characteristics	characteristic	NOUN
gsjp-14087	106	3	of	of	ADP
gsjp-14087	106	4	the	the	DET
gsjp-14087	106	5	sample	sample	NOUN
gsjp-14087	106	6	are	be	AUX
gsjp-14087	106	7	displayed	display	VERB
gsjp-14087	106	8	in	in	ADP
gsjp-14087	106	9	table	table	NOUN
gsjp-14087	106	10	1	1	NUM
gsjp-14087	106	11	.	.	PUNCT
gsjp-14087	107	1	question	question	NOUN
gsjp-14087	107	2	1	1	NUM
gsjp-14087	107	3	:	:	PUNCT
gsjp-14087	107	4	association	association	NOUN
gsjp-14087	107	5	between	between	ADP
gsjp-14087	107	6	careless	careless	ADJ
gsjp-14087	107	7	responding	respond	VERB
gsjp-14087	107	8	and	and	CCONJ
gsjp-14087	107	9	emotional	emotional	ADJ
gsjp-14087	107	10	distress	distress	NOUN
gsjp-14087	107	11	figure	figure	NOUN
gsjp-14087	107	12	1	1	NUM
gsjp-14087	107	13	encapsulates	encapsulate	VERB
gsjp-14087	107	14	the	the	DET
gsjp-14087	107	15	methodology	methodology	NOUN
gsjp-14087	107	16	employed	employ	VERB
gsjp-14087	107	17	to	to	PART
gsjp-14087	107	18	address	address	VERB
gsjp-14087	107	19	our	our	PRON
gsjp-14087	107	20	primary	primary	ADJ
gsjp-14087	107	21	research	research	NOUN
gsjp-14087	107	22	question	question	NOUN
gsjp-14087	107	23	.	.	PUNCT
gsjp-14087	108	1	to	to	PART
gsjp-14087	108	2	answer	answer	VERB
gsjp-14087	108	3	our	our	PRON
gsjp-14087	108	4	first	first	ADJ
gsjp-14087	108	5	research	research	NOUN
gsjp-14087	108	6	question	question	NOUN
gsjp-14087	108	7	,	,	PUNCT
gsjp-14087	108	8	we	we	PRON
gsjp-14087	108	9	identified	identify	VERB
gsjp-14087	108	10	careless	careless	ADJ
gsjp-14087	108	11	responses	response	NOUN
gsjp-14087	108	12	by	by	ADP
gsjp-14087	108	13	calculating	calculate	VERB
gsjp-14087	108	14	a	a	DET
gsjp-14087	108	15	normative	normative	ADJ
gsjp-14087	108	16	threshold	threshold	NOUN
gsjp-14087	108	17	based	base	VERB
gsjp-14087	108	18	on	on	ADP
gsjp-14087	108	19	wise	wise	ADJ
gsjp-14087	108	20	and	and	CCONJ
gsjp-14087	108	21	ma	ma	PROPN
gsjp-14087	108	22	’s	’s	PART
gsjp-14087	108	23	(	(	PUNCT
gsjp-14087	108	24	2012	2012	NUM
gsjp-14087	108	25	)	)	PUNCT
gsjp-14087	108	26	response	response	NOUN
gsjp-14087	108	27	time	time	NOUN
gsjp-14087	108	28	approach	approach	NOUN
gsjp-14087	108	29	.	.	PUNCT
gsjp-14087	109	1	second	second	ADJ
gsjp-14087	109	2	,	,	PUNCT
gsjp-14087	109	3	we	we	PRON
gsjp-14087	109	4	classified	classify	VERB
gsjp-14087	109	5	participants	participant	NOUN
gsjp-14087	109	6	as	as	ADV
gsjp-14087	109	7	careless	careless	ADJ
gsjp-14087	109	8	or	or	CCONJ
gsjp-14087	109	9	careful	careful	ADJ
gsjp-14087	109	10	upon	upon	SCONJ
gsjp-14087	109	11	considering	consider	VERB
gsjp-14087	109	12	the	the	DET
gsjp-14087	109	13	total	total	ADJ
gsjp-14087	109	14	number	number	NOUN
gsjp-14087	109	15	of	of	ADP
gsjp-14087	109	16	careless	careless	ADJ
gsjp-14087	109	17	responses	response	NOUN
gsjp-14087	109	18	they	they	PRON
gsjp-14087	109	19	exhibited	exhibit	VERB
gsjp-14087	109	20	.	.	PUNCT
gsjp-14087	110	1	third	third	ADV
gsjp-14087	110	2	,	,	PUNCT
gsjp-14087	110	3	we	we	PRON
gsjp-14087	110	4	examined	examine	VERB
gsjp-14087	110	5	the	the	DET
gsjp-14087	110	6	association	association	NOUN
gsjp-14087	110	7	between	between	ADP
gsjp-14087	110	8	the	the	DET
gsjp-14087	110	9	number	number	NOUN
gsjp-14087	110	10	of	of	ADP
gsjp-14087	110	11	careless	careless	ADJ
gsjp-14087	110	12	responses	response	NOUN
gsjp-14087	110	13	and	and	CCONJ
gsjp-14087	110	14	emotional	emotional	ADJ
gsjp-14087	110	15	distress	distress	NOUN
gsjp-14087	110	16	scores	score	NOUN
gsjp-14087	110	17	.	.	PUNCT
gsjp-14087	111	1	finally	finally	ADV
gsjp-14087	111	2	,	,	PUNCT
gsjp-14087	111	3	we	we	PRON
gsjp-14087	111	4	conducted	conduct	VERB
gsjp-14087	111	5	mann	mann	PROPN
gsjp-14087	111	6	-	-	PUNCT
gsjp-14087	111	7	whitney	whitney	PROPN
gsjp-14087	111	8	u	u	NOUN
gsjp-14087	111	9	tests	test	VERB
gsjp-14087	111	10	to	to	PART
gsjp-14087	111	11	compare	compare	VERB
gsjp-14087	111	12	emotional	emotional	ADJ
gsjp-14087	111	13	distress	distress	NOUN
gsjp-14087	111	14	scores	score	NOUN
gsjp-14087	111	15	between	between	ADP
gsjp-14087	111	16	careless	careless	ADJ
gsjp-14087	111	17	and	and	CCONJ
gsjp-14087	111	18	careful	careful	ADJ
gsjp-14087	111	19	responders	responder	NOUN
gsjp-14087	111	20	.	.	PUNCT
gsjp-14087	112	1	the	the	DET
gsjp-14087	112	2	normative	normative	ADJ
gsjp-14087	112	3	threshold	threshold	NOUN
gsjp-14087	112	4	for	for	ADP
gsjp-14087	112	5	an	an	DET
gsjp-14087	112	6	item	item	NOUN
gsjp-14087	112	7	is	be	AUX
gsjp-14087	112	8	calculated	calculate	VERB
gsjp-14087	112	9	as	as	ADP
gsjp-14087	112	10	“	"	PUNCT
gsjp-14087	112	11	a	a	DET
gsjp-14087	112	12	percentage	percentage	NOUN
gsjp-14087	112	13	of	of	ADP
gsjp-14087	112	14	the	the	DET
gsjp-14087	112	15	elapsed	elapse	VERB
gsjp-14087	112	16	time	time	NOUN
gsjp-14087	112	17	between	between	ADP
gsjp-14087	112	18	when	when	SCONJ
gsjp-14087	112	19	the	the	DET
gsjp-14087	112	20	item	item	NOUN
gsjp-14087	112	21	is	be	AUX
gsjp-14087	112	22	displayed	display	VERB
gsjp-14087	112	23	and	and	CCONJ
gsjp-14087	112	24	the	the	DET
gsjp-14087	112	25	mean	mean	NOUN
gsjp-14087	112	26	of	of	ADP
gsjp-14087	112	27	the	the	DET
gsjp-14087	112	28	response	response	NOUN
gsjp-14087	112	29	time	time	NOUN
gsjp-14087	112	30	distribution	distribution	NOUN
gsjp-14087	112	31	for	for	ADP
gsjp-14087	112	32	the	the	DET
gsjp-14087	112	33	item	item	NOUN
gsjp-14087	112	34	,	,	PUNCT
gsjp-14087	112	35	up	up	ADP
gsjp-14087	112	36	to	to	ADP
gsjp-14087	112	37	a	a	DET
gsjp-14087	112	38	maximum	maximum	ADJ
gsjp-14087	112	39	threshold	threshold	NOUN
gsjp-14087	112	40	value	value	NOUN
gsjp-14087	112	41	of	of	ADP
gsjp-14087	112	42	ten	ten	NUM
gsjp-14087	112	43	seconds	second	NOUN
gsjp-14087	112	44	”	"	PUNCT
gsjp-14087	112	45	(	(	PUNCT
gsjp-14087	112	46	wise	wise	PROPN
gsjp-14087	112	47	&	&	CCONJ
gsjp-14087	112	48	ma	ma	PROPN
gsjp-14087	112	49	,	,	PUNCT
gsjp-14087	112	50	2012	2012	NUM
gsjp-14087	112	51	,	,	PUNCT
gsjp-14087	112	52	p.	p.	NOUN
gsjp-14087	112	53	9	9	NUM
gsjp-14087	112	54	)	)	PUNCT
gsjp-14087	112	55	.	.	PUNCT
gsjp-14087	113	1	for	for	ADP
gsjp-14087	113	2	example	example	NOUN
gsjp-14087	113	3	,	,	PUNCT
gsjp-14087	113	4	if	if	SCONJ
gsjp-14087	113	5	an	an	DET
gsjp-14087	113	6	item	item	NOUN
gsjp-14087	113	7	takes	take	VERB
gsjp-14087	113	8	a	a	DET
gsjp-14087	113	9	mean	mean	NOUN
gsjp-14087	113	10	of	of	ADP
gsjp-14087	113	11	60	60	NUM
gsjp-14087	113	12	seconds	second	NOUN
gsjp-14087	113	13	for	for	SCONJ
gsjp-14087	113	14	participants	participant	NOUN
gsjp-14087	113	15	to	to	PART
gsjp-14087	113	16	complete	complete	VERB
gsjp-14087	113	17	,	,	PUNCT
gsjp-14087	113	18	the	the	DET
gsjp-14087	113	19	10	10	NUM
gsjp-14087	113	20	%	%	NOUN
gsjp-14087	113	21	normative	normative	ADJ
gsjp-14087	113	22	threshold	threshold	NOUN
gsjp-14087	113	23	(	(	PUNCT
gsjp-14087	113	24	i.e.	i.e.	X
gsjp-14087	113	25	,	,	PUNCT
gsjp-14087	113	26	nt10	nt10	PROPN
gsjp-14087	113	27	)	)	PUNCT
gsjp-14087	113	28	would	would	AUX
gsjp-14087	113	29	be	be	AUX
gsjp-14087	113	30	six	six	NUM
gsjp-14087	113	31	seconds	second	NOUN
gsjp-14087	113	32	.	.	PUNCT
gsjp-14087	114	1	various	various	ADJ
gsjp-14087	114	2	normative	normative	ADJ
gsjp-14087	114	3	thresholds	threshold	NOUN
gsjp-14087	114	4	can	can	AUX
gsjp-14087	114	5	be	be	AUX
gsjp-14087	114	6	compared	compare	VERB
gsjp-14087	114	7	to	to	PART
gsjp-14087	114	8	determine	determine	VERB
gsjp-14087	114	9	the	the	DET
gsjp-14087	114	10	cut	cut	NOUN
gsjp-14087	114	11	-	-	PUNCT
gsjp-14087	114	12	off	off	NOUN
gsjp-14087	114	13	that	that	PRON
gsjp-14087	114	14	yields	yield	VERB
gsjp-14087	114	15	the	the	DET
gsjp-14087	114	16	greatest	great	ADJ
gsjp-14087	114	17	accuracy	accuracy	NOUN
gsjp-14087	114	18	for	for	ADP
gsjp-14087	114	19	identifying	identify	VERB
gsjp-14087	114	20	careless	careless	ADJ
gsjp-14087	114	21	responders	responder	NOUN
gsjp-14087	114	22	(	(	PUNCT
gsjp-14087	114	23	wise	wise	ADJ
gsjp-14087	114	24	&	&	CCONJ
gsjp-14087	114	25	ma	ma	PROPN
gsjp-14087	114	26	,	,	PUNCT
gsjp-14087	114	27	2012	2012	NUM
gsjp-14087	114	28	)	)	PUNCT
gsjp-14087	114	29	.	.	PUNCT
gsjp-14087	115	1	we	we	PRON
gsjp-14087	115	2	chose	choose	VERB
gsjp-14087	115	3	to	to	PART
gsjp-14087	115	4	use	use	VERB
gsjp-14087	115	5	the	the	DET
gsjp-14087	115	6	20	20	NUM
gsjp-14087	115	7	%	%	NOUN
gsjp-14087	115	8	normative	normative	ADJ
gsjp-14087	115	9	threshold	threshold	NOUN
gsjp-14087	115	10	(	(	PUNCT
gsjp-14087	115	11	nt20	nt20	PROPN
gsjp-14087	115	12	)	)	PUNCT
gsjp-14087	115	13	based	base	VERB
gsjp-14087	115	14	on	on	ADP
gsjp-14087	115	15	literature	literature	NOUN
gsjp-14087	115	16	showing	show	VERB
gsjp-14087	115	17	that	that	SCONJ
gsjp-14087	115	18	this	this	DET
gsjp-14087	115	19	cut	cut	NOUN
gsjp-14087	115	20	-	-	PUNCT
gsjp-14087	115	21	off	off	NOUN
gsjp-14087	115	22	is	be	AUX
gsjp-14087	115	23	appropriate	appropriate	ADJ
gsjp-14087	115	24	for	for	ADP
gsjp-14087	115	25	low	low	ADJ
gsjp-14087	115	26	-	-	PUNCT
gsjp-14087	115	27	stakes	stake	NOUN
gsjp-14087	115	28	environments	environment	NOUN
gsjp-14087	115	29	(	(	PUNCT
gsjp-14087	115	30	rios	rios	PROPN
gsjp-14087	115	31	&	&	CCONJ
gsjp-14087	115	32	soland	soland	PROPN
gsjp-14087	115	33	,	,	PUNCT
gsjp-14087	115	34	2021	2021	NUM
gsjp-14087	115	35	)	)	PUNCT
gsjp-14087	115	36	and	and	CCONJ
gsjp-14087	115	37	due	due	ADP
gsjp-14087	115	38	to	to	ADP
gsjp-14087	115	39	the	the	DET
gsjp-14087	115	40	positively	positively	ADV
gsjp-14087	115	41	skewed	skewed	ADJ
gsjp-14087	115	42	distribution	distribution	NOUN
gsjp-14087	115	43	of	of	ADP
gsjp-14087	115	44	dass-42	dass-42	PROPN
gsjp-14087	115	45	scores	score	NOUN
gsjp-14087	115	46	in	in	ADP
gsjp-14087	115	47	the	the	DET
gsjp-14087	115	48	dataset	dataset	NOUN
gsjp-14087	115	49	.	.	PUNCT
gsjp-14087	116	1	to	to	PART
gsjp-14087	116	2	calculate	calculate	VERB
gsjp-14087	116	3	the	the	DET
gsjp-14087	116	4	nt20	nt20	PROPN
gsjp-14087	116	5	,	,	PUNCT
gsjp-14087	116	6	the	the	DET
gsjp-14087	116	7	mean	mean	ADJ
gsjp-14087	116	8	response	response	NOUN
gsjp-14087	116	9	time	time	NOUN
gsjp-14087	116	10	was	be	AUX
gsjp-14087	116	11	calculated	calculate	VERB
gsjp-14087	116	12	for	for	ADP
gsjp-14087	116	13	each	each	DET
gsjp-14087	116	14	item	item	NOUN
gsjp-14087	116	15	,	,	PUNCT
gsjp-14087	116	16	and	and	CCONJ
gsjp-14087	116	17	20	20	NUM
gsjp-14087	116	18	%	%	NOUN
gsjp-14087	116	19	of	of	ADP
gsjp-14087	116	20	the	the	DET
gsjp-14087	116	21	average	average	ADJ
gsjp-14087	116	22	response	response	NOUN
gsjp-14087	116	23	time	time	NOUN
gsjp-14087	116	24	served	serve	VERB
gsjp-14087	116	25	as	as	ADP
gsjp-14087	116	26	the	the	DET
gsjp-14087	116	27	nt20	nt20	PROPN
gsjp-14087	116	28	cut	cut	NOUN
gsjp-14087	116	29	-	-	PUNCT
gsjp-14087	116	30	off	off	ADP
gsjp-14087	116	31	score	score	NOUN
gsjp-14087	116	32	.	.	PUNCT
gsjp-14087	117	1	we	we	PRON
gsjp-14087	117	2	recoded	recode	VERB
gsjp-14087	117	3	careless	careless	ADJ
gsjp-14087	117	4	responses	response	NOUN
gsjp-14087	117	5	(	(	PUNCT
gsjp-14087	117	6	i.e.	i.e.	X
gsjp-14087	117	7	,	,	PUNCT
gsjp-14087	117	8	responses	response	NOUN
gsjp-14087	117	9	below	below	ADP
gsjp-14087	117	10	the	the	DET
gsjp-14087	117	11	nt20	nt20	PROPN
gsjp-14087	117	12	cut	cut	NOUN
gsjp-14087	117	13	-	-	PUNCT
gsjp-14087	117	14	off	off	NOUN
gsjp-14087	117	15	)	)	PUNCT
gsjp-14087	117	16	as	as	ADP
gsjp-14087	117	17	missing	miss	VERB
gsjp-14087	117	18	values	value	NOUN
gsjp-14087	117	19	.	.	PUNCT
gsjp-14087	118	1	the	the	DET
gsjp-14087	118	2	reason	reason	NOUN
gsjp-14087	118	3	behind	behind	ADP
gsjp-14087	118	4	this	this	PRON
gsjp-14087	118	5	is	be	AUX
gsjp-14087	118	6	that	that	SCONJ
gsjp-14087	118	7	previous	previous	ADJ
gsjp-14087	118	8	studies	study	NOUN
gsjp-14087	118	9	have	have	AUX
gsjp-14087	118	10	pointed	point	VERB
gsjp-14087	118	11	out	out	ADP
gsjp-14087	118	12	how	how	SCONJ
gsjp-14087	118	13	the	the	DET
gsjp-14087	118	14	presence	presence	NOUN
gsjp-14087	118	15	of	of	ADP
gsjp-14087	118	16	careless	careless	ADJ
gsjp-14087	118	17	responses	response	NOUN
gsjp-14087	118	18	in	in	ADP
gsjp-14087	118	19	the	the	DET
gsjp-14087	118	20	dataset	dataset	NOUN
gsjp-14087	118	21	can	can	AUX
gsjp-14087	118	22	introduce	introduce	VERB
gsjp-14087	118	23	bias	bias	NOUN
gsjp-14087	118	24	into	into	ADP
gsjp-14087	118	25	estimates	estimate	NOUN
gsjp-14087	118	26	of	of	ADP
gsjp-14087	118	27	item	item	NOUN
gsjp-14087	118	28	and	and	CCONJ
gsjp-14087	118	29	person	person	NOUN
gsjp-14087	118	30	parameters	parameter	NOUN
gsjp-14087	118	31	(	(	PUNCT
gsjp-14087	118	32	e.g.	e.g.	ADV
gsjp-14087	118	33	,	,	PUNCT
gsjp-14087	118	34	guo	guo	PROPN
gsjp-14087	118	35	et	et	PROPN
gsjp-14087	118	36	al	al	PROPN
gsjp-14087	118	37	.	.	PROPN
gsjp-14087	118	38	,	,	PUNCT
gsjp-14087	118	39	2016	2016	NUM
gsjp-14087	118	40	)	)	PUNCT
gsjp-14087	118	41	.	.	PUNCT
gsjp-14087	119	1	various	various	ADJ
gsjp-14087	119	2	cut	cut	NOUN
gsjp-14087	119	3	scores	score	NOUN
gsjp-14087	119	4	have	have	AUX
gsjp-14087	119	5	been	be	AUX
gsjp-14087	119	6	used	use	VERB
gsjp-14087	119	7	to	to	PART
gsjp-14087	119	8	classify	classify	VERB
gsjp-14087	119	9	careful	careful	ADJ
gsjp-14087	119	10	and	and	CCONJ
gsjp-14087	119	11	careless	careless	ADJ
gsjp-14087	119	12	responders	responder	NOUN
gsjp-14087	119	13	(	(	PUNCT
gsjp-14087	119	14	i.e.	i.e.	X
gsjp-14087	119	15	,	,	PUNCT
gsjp-14087	119	16	demonstrating	demonstrate	VERB
gsjp-14087	119	17	a	a	DET
gsjp-14087	119	18	substantial	substantial	ADJ
gsjp-14087	119	19	number	number	NOUN
gsjp-14087	119	20	of	of	ADP
gsjp-14087	119	21	careless	careless	ADJ
gsjp-14087	119	22	responses	response	NOUN
gsjp-14087	119	23	throughout	throughout	ADP
gsjp-14087	119	24	the	the	DET
gsjp-14087	119	25	survey	survey	NOUN
gsjp-14087	119	26	;	;	PUNCT
gsjp-14087	119	27	e.g.	e.g.	ADV
gsjp-14087	119	28	,	,	PUNCT
gsjp-14087	119	29	wise	wise	ADJ
gsjp-14087	119	30	&	&	CCONJ
gsjp-14087	119	31	kong	kong	PROPN
gsjp-14087	119	32	,	,	PUNCT
gsjp-14087	119	33	2005	2005	NUM
gsjp-14087	119	34	)	)	PUNCT
gsjp-14087	119	35	.	.	PUNCT
gsjp-14087	120	1	the	the	DET
gsjp-14087	120	2	purpose	purpose	NOUN
gsjp-14087	120	3	of	of	ADP
gsjp-14087	120	4	the	the	DET
gsjp-14087	120	5	tool	tool	NOUN
gsjp-14087	120	6	and	and	CCONJ
gsjp-14087	120	7	the	the	DET
gsjp-14087	120	8	sample	sample	NOUN
gsjp-14087	120	9	under	under	ADP
gsjp-14087	120	10	study	study	NOUN
gsjp-14087	120	11	are	be	AUX
gsjp-14087	120	12	crucial	crucial	ADJ
gsjp-14087	120	13	factors	factor	NOUN
gsjp-14087	120	14	in	in	ADP
gsjp-14087	120	15	determining	determine	VERB
gsjp-14087	120	16	appropriate	appropriate	ADJ
gsjp-14087	120	17	cut	cut	NOUN
gsjp-14087	120	18	scores	score	NOUN
gsjp-14087	120	19	.	.	PUNCT
gsjp-14087	121	1	for	for	ADP
gsjp-14087	121	2	example	example	NOUN
gsjp-14087	121	3	,	,	PUNCT
gsjp-14087	121	4	a	a	DET
gsjp-14087	121	5	cut	cut	ADJ
gsjp-14087	121	6	score	score	NOUN
gsjp-14087	121	7	of	of	ADP
gsjp-14087	121	8	20	20	NUM
gsjp-14087	121	9	%	%	NOUN
gsjp-14087	121	10	was	be	AUX
gsjp-14087	121	11	used	use	VERB
gsjp-14087	121	12	in	in	ADP
gsjp-14087	121	13	a	a	DET
gsjp-14087	121	14	lowstakes	lowstake	NOUN
gsjp-14087	121	15	assessment	assessment	NOUN
gsjp-14087	121	16	(	(	PUNCT
gsjp-14087	121	17	e.g.	e.g.	ADV
gsjp-14087	121	18	,	,	PUNCT
gsjp-14087	121	19	wise	wise	ADJ
gsjp-14087	121	20	&	&	CCONJ
gsjp-14087	121	21	kong	kong	PROPN
gsjp-14087	121	22	,	,	PUNCT
gsjp-14087	121	23	2005	2005	NUM
gsjp-14087	121	24	)	)	PUNCT
gsjp-14087	121	25	.	.	PUNCT
gsjp-14087	122	1	when	when	SCONJ
gsjp-14087	122	2	a	a	DET
gsjp-14087	122	3	survey	survey	NOUN
gsjp-14087	122	4	is	be	AUX
gsjp-14087	122	5	used	use	VERB
gsjp-14087	122	6	diagnostically	diagnostically	ADV
gsjp-14087	122	7	for	for	ADP
gsjp-14087	122	8	clinical	clinical	ADJ
gsjp-14087	122	9	purposes	purpose	NOUN
gsjp-14087	122	10	,	,	PUNCT
gsjp-14087	122	11	prudent	prudent	ADJ
gsjp-14087	122	12	clinicians	clinician	NOUN
gsjp-14087	122	13	must	must	AUX
gsjp-14087	122	14	be	be	AUX
gsjp-14087	122	15	confident	confident	ADJ
gsjp-14087	122	16	that	that	SCONJ
gsjp-14087	122	17	the	the	DET
gsjp-14087	122	18	data	datum	NOUN
gsjp-14087	122	19	are	be	AUX
gsjp-14087	122	20	not	not	PART
gsjp-14087	122	21	impacted	impact	VERB
gsjp-14087	122	22	by	by	ADP
gsjp-14087	122	23	careless	careless	ADJ
gsjp-14087	122	24	responding	responding	NOUN
gsjp-14087	122	25	,	,	PUNCT
gsjp-14087	122	26	while	while	SCONJ
gsjp-14087	122	27	putting	put	VERB
gsjp-14087	122	28	more	more	ADJ
gsjp-14087	122	29	weight	weight	NOUN
gsjp-14087	122	30	on	on	ADP
gsjp-14087	122	31	other	other	ADJ
gsjp-14087	122	32	data	datum	NOUN
gsjp-14087	122	33	sources	source	NOUN
gsjp-14087	122	34	(	(	PUNCT
gsjp-14087	122	35	i.e.	i.e.	X
gsjp-14087	122	36	,	,	PUNCT
gsjp-14087	122	37	interviews	interview	NOUN
gsjp-14087	122	38	)	)	PUNCT
gsjp-14087	122	39	if	if	SCONJ
gsjp-14087	122	40	the	the	DET
gsjp-14087	122	41	survey	survey	NOUN
gsjp-14087	122	42	data	datum	NOUN
gsjp-14087	122	43	have	have	VERB
gsjp-14087	122	44	questionable	questionable	ADJ
gsjp-14087	122	45	validity	validity	NOUN
gsjp-14087	122	46	(	(	PUNCT
gsjp-14087	122	47	american	american	ADJ
gsjp-14087	122	48	psychological	psychological	PROPN
gsjp-14087	122	49	association	association	PROPN
gsjp-14087	122	50	,	,	PUNCT
gsjp-14087	122	51	2020	2020	NUM
gsjp-14087	122	52	)	)	PUNCT
gsjp-14087	122	53	.	.	PUNCT
gsjp-14087	123	1	stated	state	VERB
gsjp-14087	123	2	another	another	DET
gsjp-14087	123	3	way	way	NOUN
gsjp-14087	123	4	,	,	PUNCT
gsjp-14087	123	5	increasing	increase	VERB
gsjp-14087	123	6	false	false	ADJ
gsjp-14087	123	7	positives	positive	NOUN
gsjp-14087	123	8	(	(	PUNCT
gsjp-14087	123	9	classifying	classify	VERB
gsjp-14087	123	10	careful	careful	ADJ
gsjp-14087	123	11	responders	responder	NOUN
gsjp-14087	123	12	as	as	ADP
gsjp-14087	123	13	careless	careless	ADJ
gsjp-14087	123	14	)	)	PUNCT
gsjp-14087	123	15	may	may	AUX
gsjp-14087	123	16	be	be	AUX
gsjp-14087	123	17	necessary	necessary	ADJ
gsjp-14087	123	18	for	for	ADP
gsjp-14087	123	19	evaluating	evaluate	VERB
gsjp-14087	123	20	the	the	DET
gsjp-14087	123	21	validity	validity	NOUN
gsjp-14087	123	22	of	of	ADP
gsjp-14087	123	23	clinically	clinically	ADV
gsjp-14087	123	24	relevant	relevant	ADJ
gsjp-14087	123	25	data	datum	NOUN
gsjp-14087	123	26	.	.	PUNCT
gsjp-14087	124	1	given	give	VERB
gsjp-14087	124	2	that	that	SCONJ
gsjp-14087	124	3	the	the	DET
gsjp-14087	124	4	survey	survey	NOUN
gsjp-14087	124	5	in	in	ADP
gsjp-14087	124	6	the	the	DET
gsjp-14087	124	7	current	current	ADJ
gsjp-14087	124	8	study	study	NOUN
gsjp-14087	124	9	measures	measure	NOUN
gsjp-14087	124	10	clinically	clinically	ADV
gsjp-14087	124	11	relevant	relevant	ADJ
gsjp-14087	124	12	variables	variable	NOUN
gsjp-14087	124	13	,	,	PUNCT
gsjp-14087	124	14	a	a	DET
gsjp-14087	124	15	cut	cut	ADJ
gsjp-14087	124	16	score	score	NOUN
gsjp-14087	124	17	of	of	ADP
gsjp-14087	124	18	10	10	NUM
gsjp-14087	124	19	%	%	NOUN
gsjp-14087	124	20	was	be	AUX
gsjp-14087	124	21	chosen	choose	VERB
gsjp-14087	124	22	.	.	PUNCT
gsjp-14087	125	1	by	by	ADP
gsjp-14087	125	2	setting	set	VERB
gsjp-14087	125	3	the	the	DET
gsjp-14087	125	4	threshold	threshold	NOUN
gsjp-14087	125	5	at	at	ADP
gsjp-14087	125	6	this	this	DET
gsjp-14087	125	7	level	level	NOUN
gsjp-14087	125	8	,	,	PUNCT
gsjp-14087	125	9	we	we	PRON
gsjp-14087	125	10	aimed	aim	VERB
gsjp-14087	125	11	to	to	PART
gsjp-14087	125	12	be	be	AUX
gsjp-14087	125	13	inclusive	inclusive	ADJ
gsjp-14087	125	14	enough	enough	ADV
gsjp-14087	125	15	to	to	PART
gsjp-14087	125	16	detect	detect	VERB
gsjp-14087	125	17	individuals	individual	NOUN
gsjp-14087	125	18	who	who	PRON
gsjp-14087	125	19	may	may	AUX
gsjp-14087	125	20	exhibit	exhibit	VERB
gsjp-14087	125	21	a	a	DET
gsjp-14087	125	22	notable	notable	ADJ
gsjp-14087	125	23	pattern	pattern	NOUN
gsjp-14087	125	24	of	of	ADP
gsjp-14087	125	25	inattentive	inattentive	ADJ
gsjp-14087	125	26	responses	response	NOUN
gsjp-14087	125	27	across	across	ADP
gsjp-14087	125	28	the	the	DET
gsjp-14087	125	29	survey	survey	NOUN
gsjp-14087	125	30	items	item	NOUN
gsjp-14087	125	31	.	.	PUNCT
gsjp-14087	126	1	at	at	ADP
gsjp-14087	126	2	the	the	DET
gsjp-14087	126	3	same	same	ADJ
gsjp-14087	126	4	time	time	NOUN
gsjp-14087	126	5	,	,	PUNCT
gsjp-14087	126	6	the	the	DET
gsjp-14087	126	7	10	10	NUM
gsjp-14087	126	8	%	%	NOUN
gsjp-14087	126	9	threshold	threshold	NOUN
gsjp-14087	126	10	is	be	AUX
gsjp-14087	126	11	chosen	choose	VERB
gsjp-14087	126	12	to	to	PART
gsjp-14087	126	13	avoid	avoid	VERB
gsjp-14087	126	14	categorizing	categorize	VERB
gsjp-14087	126	15	individuals	individual	NOUN
gsjp-14087	126	16	as	as	ADP
gsjp-14087	126	17	careless	careless	ADJ
gsjp-14087	126	18	responders	responder	NOUN
gsjp-14087	126	19	when	when	SCONJ
gsjp-14087	126	20	they	they	PRON
gsjp-14087	126	21	may	may	AUX
gsjp-14087	126	22	,	,	PUNCT
gsjp-14087	126	23	in	in	ADP
gsjp-14087	126	24	fact	fact	NOUN
gsjp-14087	126	25	,	,	PUNCT
gsjp-14087	126	26	be	be	AUX
gsjp-14087	126	27	providing	provide	VERB
gsjp-14087	126	28	thoughtful	thoughtful	ADJ
gsjp-14087	126	29	and	and	CCONJ
gsjp-14087	126	30	considered	consider	VERB
gsjp-14087	126	31	answers	answer	NOUN
gsjp-14087	126	32	to	to	ADP
gsjp-14087	126	33	the	the	DET
gsjp-14087	126	34	survey	survey	NOUN
gsjp-14087	126	35	questions	question	NOUN
gsjp-14087	126	36	.	.	PUNCT
gsjp-14087	127	1	participants	participant	NOUN
gsjp-14087	127	2	who	who	PRON
gsjp-14087	127	3	showed	show	VERB
gsjp-14087	127	4	between	between	ADP
gsjp-14087	127	5	0	0	NUM
gsjp-14087	127	6	and	and	CCONJ
gsjp-14087	127	7	4	4	NUM
gsjp-14087	127	8	careless	careless	ADJ
gsjp-14087	127	9	responses	response	NOUN
gsjp-14087	127	10	within	within	ADP
gsjp-14087	127	11	the	the	DET
gsjp-14087	127	12	dass-42	dass-42	PROPN
gsjp-14087	127	13	items	item	NOUN
gsjp-14087	127	14	were	be	AUX
gsjp-14087	127	15	classified	classify	VERB
gsjp-14087	127	16	as	as	ADP
gsjp-14087	127	17	careful	careful	ADJ
gsjp-14087	127	18	responders	responder	NOUN
gsjp-14087	127	19	(	(	PUNCT
gsjp-14087	127	20	n	n	NOUN
gsjp-14087	127	21	=	=	NUM
gsjp-14087	127	22	37,025	37,025	NUM
gsjp-14087	127	23	)	)	PUNCT
gsjp-14087	127	24	,	,	PUNCT
gsjp-14087	127	25	and	and	CCONJ
gsjp-14087	127	26	participants	participant	NOUN
gsjp-14087	127	27	who	who	PRON
gsjp-14087	127	28	showed	show	VERB
gsjp-14087	127	29	between	between	ADP
gsjp-14087	127	30	5	5	NUM
gsjp-14087	127	31	and	and	CCONJ
gsjp-14087	127	32	20	20	NUM
gsjp-14087	127	33	careless	careless	ADJ
gsjp-14087	127	34	responses	response	NOUN
gsjp-14087	127	35	were	be	AUX
gsjp-14087	127	36	classified	classify	VERB
gsjp-14087	127	37	as	as	ADP
gsjp-14087	127	38	careless	careless	ADJ
gsjp-14087	127	39	responders	responder	NOUN
gsjp-14087	127	40	(	(	PUNCT
gsjp-14087	127	41	n	n	NOUN
gsjp-14087	127	42	=	=	NUM
gsjp-14087	127	43	551	551	NUM
gsjp-14087	127	44	)	)	PUNCT
gsjp-14087	127	45	.	.	PUNCT
gsjp-14087	128	1	participants	participant	NOUN
gsjp-14087	128	2	with	with	ADP
gsjp-14087	128	3	20	20	NUM
gsjp-14087	128	4	or	or	CCONJ
gsjp-14087	128	5	more	more	ADV
gsjp-14087	128	6	careless	careless	ADJ
gsjp-14087	128	7	responses	response	NOUN
gsjp-14087	128	8	were	be	AUX
gsjp-14087	128	9	considered	consider	VERB
gsjp-14087	128	10	extremely	extremely	ADV
gsjp-14087	128	11	careless	careless	ADJ
gsjp-14087	128	12	responders	responder	NOUN
gsjp-14087	128	13	(	(	PUNCT
gsjp-14087	128	14	n	n	NOUN
gsjp-14087	128	15	=	=	SYM
gsjp-14087	128	16	243	243	NUM
gsjp-14087	128	17	)	)	PUNCT
gsjp-14087	128	18	and	and	CCONJ
gsjp-14087	128	19	were	be	AUX
gsjp-14087	128	20	excluded	exclude	VERB
gsjp-14087	128	21	from	from	ADP
gsjp-14087	128	22	analyses	analysis	NOUN
gsjp-14087	128	23	because	because	SCONJ
gsjp-14087	128	24	their	their	PRON
gsjp-14087	128	25	survey	survey	NOUN
gsjp-14087	128	26	scores	score	NOUN
gsjp-14087	128	27	would	would	AUX
gsjp-14087	128	28	have	have	AUX
gsjp-14087	128	29	been	be	AUX
gsjp-14087	128	30	significantly	significantly	ADV
gsjp-14087	128	31	biased	bias	VERB
gsjp-14087	128	32	by	by	ADP
gsjp-14087	128	33	the	the	DET
gsjp-14087	128	34	severity	severity	NOUN
gsjp-14087	128	35	of	of	ADP
gsjp-14087	128	36	their	their	PRON
gsjp-14087	128	37	careless	careless	ADJ
gsjp-14087	128	38	responding	responding	NOUN
gsjp-14087	128	39	.	.	PUNCT
gsjp-14087	129	1	this	this	PRON
gsjp-14087	129	2	is	be	AUX
gsjp-14087	129	3	consistent	consistent	ADJ
gsjp-14087	129	4	with	with	ADP
gsjp-14087	129	5	previous	previous	ADJ
gsjp-14087	129	6	literature	literature	NOUN
gsjp-14087	129	7	that	that	PRON
gsjp-14087	129	8	uses	use	VERB
gsjp-14087	129	9	a	a	DET
gsjp-14087	129	10	50	50	NUM
gsjp-14087	129	11	%	%	NOUN
gsjp-14087	129	12	careless	careless	ADJ
gsjp-14087	129	13	response	response	NOUN
gsjp-14087	129	14	rate	rate	NOUN
gsjp-14087	129	15	as	as	ADP
gsjp-14087	129	16	a	a	DET
gsjp-14087	129	17	cut	cut	NOUN
gsjp-14087	129	18	-	-	PUNCT
gsjp-14087	129	19	off	off	NOUN
gsjp-14087	129	20	for	for	ADP
gsjp-14087	129	21	removal	removal	NOUN
gsjp-14087	129	22	from	from	ADP
gsjp-14087	129	23	the	the	DET
gsjp-14087	129	24	dataset	dataset	NOUN
gsjp-14087	129	25	(	(	PUNCT
gsjp-14087	129	26	arias	arias	PROPN
gsjp-14087	129	27	et	et	PROPN
gsjp-14087	129	28	al	al	PROPN
gsjp-14087	129	29	.	.	PROPN
gsjp-14087	129	30	,	,	PUNCT
gsjp-14087	129	31	2020	2020	NUM
gsjp-14087	129	32	;	;	PUNCT
gsjp-14087	129	33	curran	curran	NOUN
gsjp-14087	129	34	,	,	PUNCT
gsjp-14087	129	35	2016	2016	NUM
gsjp-14087	129	36	)	)	PUNCT
gsjp-14087	129	37	.	.	PUNCT
gsjp-14087	130	1	given	give	VERB
gsjp-14087	130	2	that	that	DET
gsjp-14087	130	3	data	datum	NOUN
gsjp-14087	130	4	from	from	ADP
gsjp-14087	130	5	carelessly	carelessly	ADV
gsjp-14087	130	6	responded	respond	VERB
gsjp-14087	130	7	items	item	NOUN
gsjp-14087	130	8	is	be	AUX
gsjp-14087	130	9	invalid	invalid	ADJ
gsjp-14087	130	10	and	and	CCONJ
gsjp-14087	130	11	introduces	introduce	NOUN
gsjp-14087	130	12	bias	bias	NOUN
gsjp-14087	130	13	(	(	PUNCT
gsjp-14087	130	14	e.g.	e.g.	ADV
gsjp-14087	130	15	,	,	PUNCT
gsjp-14087	130	16	guo	guo	PROPN
gsjp-14087	130	17	et	et	PROPN
gsjp-14087	130	18	al	al	PROPN
gsjp-14087	130	19	.	.	PROPN
gsjp-14087	130	20	,	,	PUNCT
gsjp-14087	130	21	2016	2016	NUM
gsjp-14087	130	22	)	)	PUNCT
gsjp-14087	130	23	,	,	PUNCT
gsjp-14087	130	24	it	it	PRON
gsjp-14087	130	25	is	be	AUX
gsjp-14087	130	26	necessary	necessary	ADJ
gsjp-14087	130	27	to	to	PART
gsjp-14087	130	28	recode	recode	VERB
gsjp-14087	130	29	these	these	DET
gsjp-14087	130	30	responses	response	NOUN
gsjp-14087	130	31	as	as	ADP
gsjp-14087	130	32	missing	miss	VERB
gsjp-14087	130	33	values	value	NOUN
gsjp-14087	130	34	and	and	CCONJ
gsjp-14087	130	35	compute	compute	NOUN
gsjp-14087	130	36	scores	score	NOUN
gsjp-14087	130	37	accordingly	accordingly	ADV
gsjp-14087	130	38	.	.	PUNCT
gsjp-14087	131	1	therefore	therefore	ADV
gsjp-14087	131	2	,	,	PUNCT
gsjp-14087	131	3	after	after	ADP
gsjp-14087	131	4	identifying	identify	VERB
gsjp-14087	131	5	careless	careless	ADJ
gsjp-14087	131	6	responses	response	NOUN
gsjp-14087	131	7	,	,	PUNCT
gsjp-14087	131	8	dass-42	dass-42	PROPN
gsjp-14087	131	9	subscale	subscale	PROPN
gsjp-14087	131	10	scores	score	NOUN
gsjp-14087	131	11	were	be	AUX
gsjp-14087	131	12	adjusted	adjust	VERB
gsjp-14087	131	13	to	to	PART
gsjp-14087	131	14	represent	represent	VERB
gsjp-14087	131	15	only	only	ADV
gsjp-14087	131	16	carefully	carefully	ADV
gsjp-14087	131	17	responded	respond	VERB
gsjp-14087	131	18	items	item	NOUN
gsjp-14087	131	19	by	by	ADP
gsjp-14087	131	20	recoding	recode	VERB
gsjp-14087	131	21	these	these	DET
gsjp-14087	131	22	responses	response	NOUN
gsjp-14087	131	23	as	as	ADP
gsjp-14087	131	24	missing	miss	VERB
gsjp-14087	131	25	values	value	NOUN
gsjp-14087	131	26	and	and	CCONJ
gsjp-14087	131	27	calculating	calculate	VERB
gsjp-14087	131	28	the	the	DET
gsjp-14087	131	29	adjusted	adjusted	ADJ
gsjp-14087	131	30	total	total	ADJ
gsjp-14087	131	31	scores	score	NOUN
gsjp-14087	131	32	.	.	PUNCT
gsjp-14087	132	1	the	the	DET
gsjp-14087	132	2	adjusted	adjust	VERB
gsjp-14087	132	3	subscale	subscale	NOUN
gsjp-14087	132	4	score	score	NOUN
gsjp-14087	132	5	is	be	AUX
gsjp-14087	132	6	the	the	DET
gsjp-14087	132	7	sum	sum	NOUN
gsjp-14087	132	8	of	of	ADP
gsjp-14087	132	9	the	the	DET
gsjp-14087	132	10	scores	score	NOUN
gsjp-14087	132	11	for	for	ADP
gsjp-14087	132	12	carefully	carefully	ADV
gsjp-14087	132	13	responded	respond	VERB
gsjp-14087	132	14	items	item	NOUN
gsjp-14087	132	15	divided	divide	VERB
gsjp-14087	132	16	by	by	ADP
gsjp-14087	132	17	the	the	DET
gsjp-14087	132	18	maximum	maximum	ADJ
gsjp-14087	132	19	possible	possible	ADJ
gsjp-14087	132	20	total	total	ADJ
gsjp-14087	132	21	score	score	NOUN
gsjp-14087	132	22	for	for	ADP
gsjp-14087	132	23	those	those	DET
gsjp-14087	132	24	items	item	NOUN
gsjp-14087	132	25	.	.	PUNCT
gsjp-14087	133	1	we	we	PRON
gsjp-14087	133	2	presented	present	VERB
gsjp-14087	133	3	the	the	DET
gsjp-14087	133	4	adjusted	adjust	VERB
gsjp-14087	133	5	scores	score	NOUN
gsjp-14087	133	6	as	as	ADP
gsjp-14087	133	7	percentages	percentage	NOUN
gsjp-14087	133	8	to	to	PART
gsjp-14087	133	9	facilitate	facilitate	VERB
gsjp-14087	133	10	the	the	DET
gsjp-14087	133	11	interpretation	interpretation	NOUN
gsjp-14087	133	12	of	of	ADP
gsjp-14087	133	13	the	the	DET
gsjp-14087	133	14	results	result	NOUN
gsjp-14087	133	15	.	.	PUNCT
gsjp-14087	134	1	for	for	ADP
gsjp-14087	134	2	example	example	NOUN
gsjp-14087	134	3	,	,	PUNCT
gsjp-14087	134	4	if	if	SCONJ
gsjp-14087	134	5	a	a	DET
gsjp-14087	134	6	participant	participant	NOUN
gsjp-14087	134	7	had	have	VERB
gsjp-14087	134	8	careless	careless	ADJ
gsjp-14087	134	9	responses	response	NOUN
gsjp-14087	134	10	on	on	ADP
gsjp-14087	134	11	three	three	NUM
gsjp-14087	134	12	items	item	NOUN
gsjp-14087	134	13	on	on	ADP
gsjp-14087	134	14	the	the	DET
gsjp-14087	134	15	depression	depression	NOUN
gsjp-14087	134	16	subscale	subscale	NOUN
gsjp-14087	134	17	(	(	PUNCT
gsjp-14087	134	18	14	14	NUM
gsjp-14087	134	19	items	item	NOUN
gsjp-14087	134	20	)	)	PUNCT
gsjp-14087	134	21	,	,	PUNCT
gsjp-14087	134	22	their	their	PRON
gsjp-14087	134	23	depression	depression	NOUN
gsjp-14087	134	24	subscale	subscale	NOUN
gsjp-14087	134	25	score	score	NOUN
gsjp-14087	134	26	would	would	AUX
gsjp-14087	134	27	be	be	AUX
gsjp-14087	134	28	the	the	DET
gsjp-14087	134	29	sum	sum	NOUN
gsjp-14087	134	30	of	of	ADP
gsjp-14087	134	31	their	their	PRON
gsjp-14087	134	32	scores	score	NOUN
gsjp-14087	134	33	on	on	ADP
gsjp-14087	134	34	the	the	DET
gsjp-14087	134	35	remaining	remain	VERB
gsjp-14087	134	36	carefully	carefully	ADV
gsjp-14087	134	37	responded	respond	VERB
gsjp-14087	134	38	11	11	NUM
gsjp-14087	134	39	items	item	NOUN
gsjp-14087	134	40	,	,	PUNCT
gsjp-14087	134	41	with	with	ADP
gsjp-14087	134	42	a	a	DET
gsjp-14087	134	43	score	score	NOUN
gsjp-14087	134	44	range	range	NOUN
gsjp-14087	134	45	of	of	ADP
gsjp-14087	134	46	11	11	NUM
gsjp-14087	134	47	(	(	PUNCT
gsjp-14087	134	48	11	11	NUM
gsjp-14087	134	49	×	×	NOUN
gsjp-14087	134	50	1	1	NUM
gsjp-14087	134	51	point	point	NOUN
gsjp-14087	134	52	)	)	PUNCT
gsjp-14087	134	53	to	to	ADP
gsjp-14087	134	54	44	44	NUM
gsjp-14087	134	55	(	(	PUNCT
gsjp-14087	134	56	11	11	NUM
gsjp-14087	134	57	×	×	NOUN
gsjp-14087	134	58	4	4	NUM
gsjp-14087	134	59	points	point	NOUN
gsjp-14087	134	60	)	)	PUNCT
gsjp-14087	134	61	.	.	PUNCT
gsjp-14087	135	1	if	if	SCONJ
gsjp-14087	135	2	the	the	DET
gsjp-14087	135	3	participant	participant	NOUN
gsjp-14087	135	4	scored	score	VERB
gsjp-14087	135	5	39	39	NUM
gsjp-14087	135	6	on	on	ADP
gsjp-14087	135	7	these	these	DET
gsjp-14087	135	8	11	11	NUM
gsjp-14087	135	9	carefully	carefully	ADV
gsjp-14087	135	10	responded	respond	VERB
gsjp-14087	135	11	depression	depression	NOUN
gsjp-14087	135	12	items	item	NOUN
gsjp-14087	135	13	,	,	PUNCT
gsjp-14087	135	14	their	their	PRON
gsjp-14087	135	15	adjusted	adjust	VERB
gsjp-14087	135	16	subscale	subscale	NOUN
gsjp-14087	135	17	score	score	NOUN
gsjp-14087	135	18	in	in	ADP
gsjp-14087	135	19	percentage	percentage	NOUN
gsjp-14087	135	20	would	would	AUX
gsjp-14087	135	21	be	be	AUX
gsjp-14087	135	22	calculated	calculate	VERB
gsjp-14087	135	23	as	as	SCONJ
gsjp-14087	135	24	follows	follow	VERB
gsjp-14087	135	25	:	:	PUNCT
gsjp-14087	135	26	39/44	39/44	NUM
gsjp-14087	135	27	=	=	NUM
gsjp-14087	135	28	0.87×100=87	0.87×100=87	NOUN
gsjp-14087	135	29	.	.	PUNCT
gsjp-14087	136	1	a	a	DET
gsjp-14087	136	2	spearman	spearman	NOUN
gsjp-14087	136	3	correlation	correlation	NOUN
gsjp-14087	136	4	analysis	analysis	NOUN
gsjp-14087	136	5	was	be	AUX
gsjp-14087	136	6	used	use	VERB
gsjp-14087	136	7	to	to	PART
gsjp-14087	136	8	determine	determine	VERB
gsjp-14087	136	9	whether	whether	SCONJ
gsjp-14087	136	10	an	an	DET
gsjp-14087	136	11	association	association	NOUN
gsjp-14087	136	12	exists	exist	VERB
gsjp-14087	136	13	between	between	ADP
gsjp-14087	136	14	the	the	DET
gsjp-14087	136	15	number	number	NOUN
gsjp-14087	136	16	of	of	ADP
gsjp-14087	136	17	careless	careless	ADJ
gsjp-14087	136	18	responses	response	NOUN
gsjp-14087	136	19	and	and	CCONJ
gsjp-14087	136	20	emotional	emotional	ADJ
gsjp-14087	136	21	distress	distress	NOUN
gsjp-14087	136	22	scores	score	NOUN
gsjp-14087	136	23	.	.	PUNCT
gsjp-14087	137	1	next	next	ADJ
gsjp-14087	137	2	,	,	PUNCT
gsjp-14087	137	3	mann	mann	PROPN
gsjp-14087	137	4	-	-	PUNCT
gsjp-14087	137	5	whitney	whitney	PROPN
gsjp-14087	137	6	u	u	NOUN
gsjp-14087	137	7	tests	test	NOUN
gsjp-14087	137	8	were	be	AUX
gsjp-14087	137	9	used	use	VERB
gsjp-14087	137	10	to	to	PART
gsjp-14087	137	11	compare	compare	VERB
gsjp-14087	137	12	dass-42	dass-42	PROPN
gsjp-14087	137	13	subscale	subscale	PROPN
gsjp-14087	137	14	scores	score	NOUN
gsjp-14087	137	15	between	between	ADP
gsjp-14087	137	16	participants	participant	NOUN
gsjp-14087	137	17	classified	classify	VERB
gsjp-14087	137	18	as	as	ADP
gsjp-14087	137	19	careless	careless	ADJ
gsjp-14087	137	20	and	and	CCONJ
gsjp-14087	137	21	careful	careful	ADJ
gsjp-14087	137	22	.	.	PUNCT
gsjp-14087	138	1	question	question	NOUN
gsjp-14087	138	2	2	2	NUM
gsjp-14087	138	3	:	:	PUNCT
gsjp-14087	138	4	predicting	predict	VERB
gsjp-14087	138	5	emotional	emotional	ADJ
gsjp-14087	138	6	distress	distress	NOUN
gsjp-14087	138	7	with	with	ADP
gsjp-14087	138	8	maresponse	maresponse	ADJ
gsjp-14087	138	9	time	time	NOUN
gsjp-14087	138	10	to	to	PART
gsjp-14087	138	11	identify	identify	VERB
gsjp-14087	138	12	careless	careless	ADJ
gsjp-14087	138	13	responders	responder	NOUN
gsjp-14087	138	14	77	77	NUM
gsjp-14087	138	15	zentner	zentner	PROPN
gsjp-14087	138	16	&	&	CCONJ
gsjp-14087	138	17	yildirim	yildirim	PROPN
gsjp-14087	138	18	-	-	PUNCT
gsjp-14087	138	19	erbasli	erbasli	NOUN
gsjp-14087	138	20	chine	chine	NOUN
gsjp-14087	138	21	learning	learn	VERB
gsjp-14087	138	22	figure	figure	NOUN
gsjp-14087	138	23	2	2	NUM
gsjp-14087	138	24	encapsulates	encapsulate	VERB
gsjp-14087	138	25	the	the	DET
gsjp-14087	138	26	methodology	methodology	NOUN
gsjp-14087	138	27	employed	employ	VERB
gsjp-14087	138	28	to	to	PART
gsjp-14087	138	29	address	address	VERB
gsjp-14087	138	30	our	our	PRON
gsjp-14087	138	31	second	second	ADJ
gsjp-14087	138	32	research	research	NOUN
gsjp-14087	138	33	question	question	NOUN
gsjp-14087	138	34	.	.	PUNCT
gsjp-14087	139	1	to	to	PART
gsjp-14087	139	2	answer	answer	VERB
gsjp-14087	139	3	our	our	PRON
gsjp-14087	139	4	second	second	ADJ
gsjp-14087	139	5	research	research	NOUN
gsjp-14087	139	6	question	question	NOUN
gsjp-14087	139	7	,	,	PUNCT
gsjp-14087	139	8	we	we	PRON
gsjp-14087	139	9	used	use	VERB
gsjp-14087	139	10	dass-42	dass-42	PROPN
gsjp-14087	139	11	data	datum	NOUN
gsjp-14087	139	12	consisting	consist	VERB
gsjp-14087	139	13	of	of	ADP
gsjp-14087	139	14	item	item	NOUN
gsjp-14087	139	15	responses	response	NOUN
gsjp-14087	139	16	and	and	CCONJ
gsjp-14087	139	17	response	response	NOUN
gsjp-14087	139	18	times	time	NOUN
gsjp-14087	139	19	of	of	ADP
gsjp-14087	139	20	37,819	37,819	NUM
gsjp-14087	139	21	respondents	respondent	NOUN
gsjp-14087	139	22	.	.	PUNCT
gsjp-14087	140	1	responders	responder	NOUN
gsjp-14087	140	2	were	be	AUX
gsjp-14087	140	3	classified	classify	VERB
gsjp-14087	140	4	into	into	ADP
gsjp-14087	140	5	five	five	NUM
gsjp-14087	140	6	severity	severity	NOUN
gsjp-14087	140	7	levels	level	NOUN
gsjp-14087	140	8	on	on	ADP
gsjp-14087	140	9	an	an	DET
gsjp-14087	140	10	ordinal	ordinal	ADJ
gsjp-14087	140	11	scale	scale	NOUN
gsjp-14087	140	12	for	for	ADP
gsjp-14087	140	13	depression	depression	NOUN
gsjp-14087	140	14	,	,	PUNCT
gsjp-14087	140	15	anxiety	anxiety	NOUN
gsjp-14087	140	16	,	,	PUNCT
gsjp-14087	140	17	and	and	CCONJ
gsjp-14087	140	18	stress	stress	NOUN
gsjp-14087	140	19	based	base	VERB
gsjp-14087	140	20	on	on	ADP
gsjp-14087	140	21	their	their	PRON
gsjp-14087	140	22	scores	score	NOUN
gsjp-14087	140	23	using	use	VERB
gsjp-14087	140	24	the	the	DET
gsjp-14087	140	25	guide	guide	NOUN
gsjp-14087	140	26	for	for	ADP
gsjp-14087	140	27	severity	severity	NOUN
gsjp-14087	140	28	levels	level	NOUN
gsjp-14087	140	29	of	of	ADP
gsjp-14087	140	30	emotional	emotional	ADJ
gsjp-14087	140	31	distress	distress	NOUN
gsjp-14087	140	32	in	in	ADP
gsjp-14087	140	33	dass-42	dass-42	PROPN
gsjp-14087	140	34	(	(	PUNCT
gsjp-14087	140	35	see	see	VERB
gsjp-14087	140	36	table	table	NOUN
gsjp-14087	140	37	2	2	NUM
gsjp-14087	140	38	)	)	PUNCT
gsjp-14087	140	39	.	.	PUNCT
gsjp-14087	141	1	total	total	ADJ
gsjp-14087	141	2	scores	score	NOUN
gsjp-14087	141	3	were	be	AUX
gsjp-14087	141	4	calculated	calculate	VERB
gsjp-14087	141	5	on	on	ADP
gsjp-14087	141	6	a	a	DET
gsjp-14087	141	7	0	0	NUM
gsjp-14087	141	8	to	to	PART
gsjp-14087	141	9	3	3	NUM
gsjp-14087	141	10	scale	scale	NOUN
gsjp-14087	141	11	by	by	ADP
gsjp-14087	141	12	subtracting	subtract	VERB
gsjp-14087	141	13	one	one	NUM
gsjp-14087	141	14	from	from	ADP
gsjp-14087	141	15	each	each	DET
gsjp-14087	141	16	response	response	NOUN
gsjp-14087	141	17	,	,	PUNCT
gsjp-14087	141	18	as	as	SCONJ
gsjp-14087	141	19	the	the	DET
gsjp-14087	141	20	initial	initial	ADJ
gsjp-14087	141	21	dataset	dataset	NOUN
gsjp-14087	141	22	included	include	VERB
gsjp-14087	141	23	responses	response	NOUN
gsjp-14087	141	24	ranging	range	VERB
gsjp-14087	141	25	from	from	ADP
gsjp-14087	141	26	1	1	NUM
gsjp-14087	141	27	to	to	ADP
gsjp-14087	141	28	4	4	NUM
gsjp-14087	141	29	.	.	PUNCT
gsjp-14087	142	1	for	for	ADP
gsjp-14087	142	2	each	each	DET
gsjp-14087	142	3	emotional	emotional	ADJ
gsjp-14087	142	4	distress	distress	NOUN
gsjp-14087	142	5	,	,	PUNCT
gsjp-14087	142	6	we	we	PRON
gsjp-14087	142	7	used	use	VERB
gsjp-14087	142	8	80	80	NUM
gsjp-14087	142	9	%	%	NOUN
gsjp-14087	142	10	of	of	ADP
gsjp-14087	142	11	the	the	DET
gsjp-14087	142	12	dataset	dataset	NOUN
gsjp-14087	142	13	for	for	ADP
gsjp-14087	142	14	training	training	NOUN
gsjp-14087	142	15	and	and	CCONJ
gsjp-14087	142	16	20	20	NUM
gsjp-14087	142	17	%	%	NOUN
gsjp-14087	142	18	for	for	ADP
gsjp-14087	142	19	testing	testing	NOUN
gsjp-14087	142	20	.	.	PUNCT
gsjp-14087	143	1	validation	validation	NOUN
gsjp-14087	143	2	was	be	AUX
gsjp-14087	143	3	conducted	conduct	VERB
gsjp-14087	143	4	within	within	ADP
gsjp-14087	143	5	the	the	DET
gsjp-14087	143	6	training	training	NOUN
gsjp-14087	143	7	process	process	NOUN
gsjp-14087	143	8	through	through	ADP
gsjp-14087	143	9	10	10	NUM
gsjp-14087	143	10	-	-	ADJ
gsjp-14087	143	11	fold	fold	ADJ
gsjp-14087	143	12	cross	cross	NOUN
gsjp-14087	143	13	-	-	NOUN
gsjp-14087	143	14	validation	validation	ADJ
gsjp-14087	143	15	(	(	PUNCT
gsjp-14087	143	16	i.e.	i.e.	X
gsjp-14087	143	17	,	,	PUNCT
gsjp-14087	143	18	the	the	DET
gsjp-14087	143	19	number	number	NOUN
gsjp-14087	143	20	of	of	ADP
gsjp-14087	143	21	groups	group	NOUN
gsjp-14087	143	22	that	that	PRON
gsjp-14087	143	23	the	the	DET
gsjp-14087	143	24	dataset	dataset	NOUN
gsjp-14087	143	25	is	be	AUX
gsjp-14087	143	26	randomly	randomly	ADV
gsjp-14087	143	27	split	split	VERB
gsjp-14087	143	28	into	into	ADP
gsjp-14087	143	29	)	)	PUNCT
gsjp-14087	143	30	and	and	CCONJ
gsjp-14087	143	31	a	a	DET
gsjp-14087	143	32	random	random	ADJ
gsjp-14087	143	33	search	search	NOUN
gsjp-14087	143	34	for	for	ADP
gsjp-14087	143	35	hyperparameter	hyperparameter	NOUN
gsjp-14087	143	36	optimization	optimization	NOUN
gsjp-14087	143	37	.	.	PUNCT
gsjp-14087	144	1	we	we	PRON
gsjp-14087	144	2	trained	train	VERB
gsjp-14087	144	3	four	four	NUM
gsjp-14087	144	4	machine	machine	NOUN
gsjp-14087	144	5	learning	learn	VERB
gsjp-14087	144	6	algorithms	algorithm	NOUN
gsjp-14087	144	7	–	–	PUNCT
gsjp-14087	144	8	dt	dt	NOUN
gsjp-14087	144	9	,	,	PUNCT
gsjp-14087	144	10	rf	rf	ADJ
gsjp-14087	144	11	,	,	PUNCT
gsjp-14087	144	12	svm	svm	ADJ
gsjp-14087	144	13	,	,	PUNCT
gsjp-14087	144	14	and	and	CCONJ
gsjp-14087	144	15	nb	nb	INTJ
gsjp-14087	144	16	(	(	PUNCT
gsjp-14087	144	17	james	james	PROPN
gsjp-14087	144	18	et	et	PROPN
gsjp-14087	144	19	al	al	PROPN
gsjp-14087	144	20	.	.	PROPN
gsjp-14087	144	21	,	,	PUNCT
gsjp-14087	145	1	2017)–to	2017)–to	NUM
gsjp-14087	145	2	predict	predict	VERB
gsjp-14087	145	3	the	the	DET
gsjp-14087	145	4	severity	severity	NOUN
gsjp-14087	145	5	levels	level	NOUN
gsjp-14087	145	6	of	of	ADP
gsjp-14087	145	7	responders	responder	NOUN
gsjp-14087	145	8	for	for	ADP
gsjp-14087	145	9	each	each	DET
gsjp-14087	145	10	emotional	emotional	ADJ
gsjp-14087	145	11	distress	distress	NOUN
gsjp-14087	145	12	.	.	PUNCT
gsjp-14087	146	1	dts	dts	PROPN
gsjp-14087	146	2	split	split	PROPN
gsjp-14087	146	3	data	datum	NOUN
gsjp-14087	146	4	into	into	ADP
gsjp-14087	146	5	progressively	progressively	ADV
gsjp-14087	146	6	smaller	small	ADJ
gsjp-14087	146	7	subsets	subset	NOUN
gsjp-14087	146	8	based	base	VERB
gsjp-14087	146	9	on	on	ADP
gsjp-14087	146	10	selected	select	VERB
gsjp-14087	146	11	features	feature	NOUN
gsjp-14087	146	12	to	to	PART
gsjp-14087	146	13	form	form	VERB
gsjp-14087	146	14	a	a	DET
gsjp-14087	146	15	simple	simple	ADJ
gsjp-14087	146	16	,	,	PUNCT
gsjp-14087	146	17	interpretable	interpretable	ADJ
gsjp-14087	146	18	tree	tree	NOUN
gsjp-14087	146	19	structure	structure	NOUN
gsjp-14087	146	20	.	.	PUNCT
gsjp-14087	147	1	rfs	rfs	AUX
gsjp-14087	147	2	enhance	enhance	VERB
gsjp-14087	147	3	this	this	DET
gsjp-14087	147	4	approach	approach	NOUN
gsjp-14087	147	5	by	by	ADP
gsjp-14087	147	6	combining	combine	VERB
gsjp-14087	147	7	multiple	multiple	ADJ
gsjp-14087	147	8	dts	dt	NOUN
gsjp-14087	147	9	built	build	VERB
gsjp-14087	147	10	from	from	ADP
gsjp-14087	147	11	random	random	ADJ
gsjp-14087	147	12	subsets	subset	NOUN
gsjp-14087	147	13	of	of	ADP
gsjp-14087	147	14	data	datum	NOUN
gsjp-14087	147	15	and	and	CCONJ
gsjp-14087	147	16	features	feature	NOUN
gsjp-14087	147	17	to	to	PART
gsjp-14087	147	18	improve	improve	VERB
gsjp-14087	147	19	accuracy	accuracy	NOUN
gsjp-14087	147	20	and	and	CCONJ
gsjp-14087	147	21	reduce	reduce	VERB
gsjp-14087	147	22	overfitting	overfitte	VERB
gsjp-14087	147	23	.	.	PUNCT
gsjp-14087	148	1	nb	nb	PROPN
gsjp-14087	148	2	applies	apply	VERB
gsjp-14087	148	3	bayes	bayes	PROPN
gsjp-14087	148	4	’	'	PUNCT
gsjp-14087	148	5	theorem	theorem	VERB
gsjp-14087	148	6	under	under	ADP
gsjp-14087	148	7	the	the	DET
gsjp-14087	148	8	assumption	assumption	NOUN
gsjp-14087	148	9	that	that	SCONJ
gsjp-14087	148	10	all	all	DET
gsjp-14087	148	11	features	feature	NOUN
gsjp-14087	148	12	are	be	AUX
gsjp-14087	148	13	independent	independent	ADJ
gsjp-14087	148	14	to	to	PART
gsjp-14087	148	15	generate	generate	VERB
gsjp-14087	148	16	probability	probability	NOUN
gsjp-14087	148	17	-	-	PUNCT
gsjp-14087	148	18	based	base	VERB
gsjp-14087	148	19	classifications	classification	NOUN
gsjp-14087	148	20	.	.	PUNCT
gsjp-14087	149	1	svms	svms	NOUN
gsjp-14087	149	2	identify	identify	VERB
gsjp-14087	149	3	the	the	DET
gsjp-14087	149	4	optimal	optimal	ADJ
gsjp-14087	149	5	hyperplane	hyperplane	NOUN
gsjp-14087	149	6	with	with	ADP
gsjp-14087	149	7	the	the	DET
gsjp-14087	149	8	maximum	maximum	ADJ
gsjp-14087	149	9	margin	margin	NOUN
gsjp-14087	149	10	to	to	AUX
gsjp-14087	149	11	separate	separate	ADJ
gsjp-14087	149	12	data	datum	NOUN
gsjp-14087	149	13	points	point	NOUN
gsjp-14087	149	14	for	for	ADP
gsjp-14087	149	15	predictive	predictive	ADJ
gsjp-14087	149	16	performance	performance	NOUN
gsjp-14087	149	17	.	.	PUNCT
gsjp-14087	150	1	after	after	ADP
gsjp-14087	150	2	the	the	DET
gsjp-14087	150	3	training	training	NOUN
gsjp-14087	150	4	,	,	PUNCT
gsjp-14087	150	5	we	we	PRON
gsjp-14087	150	6	evaluated	evaluate	VERB
gsjp-14087	150	7	the	the	DET
gsjp-14087	150	8	performance	performance	NOUN
gsjp-14087	150	9	of	of	ADP
gsjp-14087	150	10	the	the	DET
gsjp-14087	150	11	trained	train	VERB
gsjp-14087	150	12	models	model	NOUN
gsjp-14087	150	13	using	use	VERB
gsjp-14087	150	14	the	the	DET
gsjp-14087	150	15	test	test	NOUN
gsjp-14087	150	16	sets	set	NOUN
gsjp-14087	150	17	and	and	CCONJ
gsjp-14087	150	18	reported	report	VERB
gsjp-14087	150	19	standard	standard	ADJ
gsjp-14087	150	20	classification	classification	NOUN
gsjp-14087	150	21	metrics	metric	NOUN
gsjp-14087	150	22	(	(	PUNCT
gsjp-14087	150	23	i.e.	i.e.	X
gsjp-14087	150	24	,	,	PUNCT
gsjp-14087	150	25	sensitivity	sensitivity	NOUN
gsjp-14087	150	26	,	,	PUNCT
gsjp-14087	150	27	specificity	specificity	NOUN
gsjp-14087	150	28	,	,	PUNCT
gsjp-14087	150	29	and	and	CCONJ
gsjp-14087	150	30	accuracy	accuracy	NOUN
gsjp-14087	150	31	)	)	PUNCT
gsjp-14087	150	32	.	.	PUNCT
gsjp-14087	151	1	results	result	VERB
gsjp-14087	151	2	careless	careless	ADJ
gsjp-14087	151	3	responding	respond	VERB
gsjp-14087	151	4	and	and	CCONJ
gsjp-14087	151	5	emotional	emotional	ADJ
gsjp-14087	151	6	distress	distress	NOUN
gsjp-14087	151	7	there	there	PRON
gsjp-14087	151	8	were	be	VERB
gsjp-14087	151	9	statistically	statistically	ADV
gsjp-14087	151	10	significant	significant	ADJ
gsjp-14087	151	11	correlations	correlation	NOUN
gsjp-14087	151	12	between	between	ADP
gsjp-14087	151	13	the	the	DET
gsjp-14087	151	14	number	number	NOUN
gsjp-14087	151	15	of	of	ADP
gsjp-14087	151	16	careless	careless	ADJ
gsjp-14087	151	17	responses	response	NOUN
gsjp-14087	151	18	and	and	CCONJ
gsjp-14087	151	19	subscales	subscale	NOUN
gsjp-14087	151	20	of	of	ADP
gsjp-14087	151	21	anxiety	anxiety	NOUN
gsjp-14087	151	22	(	(	PUNCT
gsjp-14087	151	23	rs(37,574	rs(37,574	NOUN
gsjp-14087	151	24	)	)	PUNCT
gsjp-14087	151	25	=	=	SYM
gsjp-14087	151	26	.03	.03	NUM
gsjp-14087	151	27	,	,	PUNCT
gsjp-14087	151	28	p	p	X
gsjp-14087	151	29	<	<	X
gsjp-14087	151	30	.001	.001	NUM
gsjp-14087	151	31	)	)	PUNCT
gsjp-14087	151	32	and	and	CCONJ
gsjp-14087	151	33	stress	stress	NOUN
gsjp-14087	151	34	(	(	PUNCT
gsjp-14087	151	35	rs(37,574	rs(37,574	NOUN
gsjp-14087	151	36	)	)	PUNCT
gsjp-14087	151	37	=	=	SYM
gsjp-14087	151	38	.02	.02	NUM
gsjp-14087	151	39	,	,	PUNCT
gsjp-14087	151	40	p	p	X
gsjp-14087	151	41	=	=	NOUN
gsjp-14087	151	42	.001	.001	NUM
gsjp-14087	151	43	)	)	PUNCT
gsjp-14087	151	44	,	,	PUNCT
gsjp-14087	151	45	but	but	CCONJ
gsjp-14087	151	46	not	not	PART
gsjp-14087	151	47	the	the	DET
gsjp-14087	151	48	subscale	subscale	NOUN
gsjp-14087	151	49	of	of	ADP
gsjp-14087	151	50	depression	depression	NOUN
gsjp-14087	151	51	(	(	PUNCT
gsjp-14087	151	52	rs(37,574	rs(37,574	NOUN
gsjp-14087	151	53	)	)	PUNCT
gsjp-14087	151	54	=	=	PUNCT
gsjp-14087	151	55	-.001	-.001	PROPN
gsjp-14087	151	56	,	,	PUNCT
gsjp-14087	151	57	p	p	X
gsjp-14087	151	58	=	=	NOUN
gsjp-14087	151	59	.836	.836	NUM
gsjp-14087	151	60	)	)	PUNCT
gsjp-14087	151	61	.	.	PUNCT
gsjp-14087	152	1	in	in	ADP
gsjp-14087	152	2	terms	term	NOUN
gsjp-14087	152	3	of	of	ADP
gsjp-14087	152	4	the	the	DET
gsjp-14087	152	5	subscale	subscale	NOUN
gsjp-14087	152	6	of	of	ADP
gsjp-14087	152	7	depression	depression	NOUN
gsjp-14087	152	8	,	,	PUNCT
gsjp-14087	152	9	careless	careless	ADJ
gsjp-14087	152	10	responders	responder	NOUN
gsjp-14087	152	11	(	(	PUNCT
gsjp-14087	152	12	mdn	mdn	NOUN
gsjp-14087	152	13	=	=	SYM
gsjp-14087	152	14	67.3	67.3	NUM
gsjp-14087	152	15	)	)	PUNCT
gsjp-14087	152	16	had	have	VERB
gsjp-14087	152	17	higher	high	ADJ
gsjp-14087	152	18	scores	score	NOUN
gsjp-14087	152	19	than	than	ADP
gsjp-14087	152	20	careful	careful	ADJ
gsjp-14087	152	21	responders	responder	NOUN
gsjp-14087	152	22	(	(	PUNCT
gsjp-14087	152	23	mdn	mdn	NOUN
gsjp-14087	152	24	=	=	NOUN
gsjp-14087	152	25	62.5	62.5	NUM
gsjp-14087	152	26	)	)	PUNCT
gsjp-14087	152	27	,	,	PUNCT
gsjp-14087	152	28	and	and	CCONJ
gsjp-14087	152	29	the	the	DET
gsjp-14087	152	30	difference	difference	NOUN
gsjp-14087	152	31	between	between	ADP
gsjp-14087	152	32	careless	careless	ADJ
gsjp-14087	152	33	and	and	CCONJ
gsjp-14087	152	34	careful	careful	ADJ
gsjp-14087	152	35	responders	responder	NOUN
gsjp-14087	152	36	was	be	AUX
gsjp-14087	152	37	statistically	statistically	ADV
gsjp-14087	152	38	significant	significant	ADJ
gsjp-14087	152	39	(	(	PUNCT
gsjp-14087	152	40	u	u	NOUN
gsjp-14087	152	41	=	=	PROPN
gsjp-14087	152	42	9.58e+6	9.58e+6	NUM
gsjp-14087	152	43	,	,	PUNCT
gsjp-14087	152	44	p	p	X
gsjp-14087	152	45	=	=	NOUN
gsjp-14087	152	46	.01	.01	NUM
gsjp-14087	152	47	,	,	PUNCT
gsjp-14087	152	48	r	r	NOUN
gsjp-14087	152	49	=	=	SYM
gsjp-14087	152	50	.06	.06	NUM
gsjp-14087	152	51	;	;	PUNCT
gsjp-14087	152	52	see	see	VERB
gsjp-14087	152	53	figure	figure	NOUN
gsjp-14087	152	54	3	3	NUM
gsjp-14087	152	55	)	)	PUNCT
gsjp-14087	152	56	.	.	PUNCT
gsjp-14087	153	1	similarly	similarly	ADV
gsjp-14087	153	2	,	,	PUNCT
gsjp-14087	153	3	a	a	DET
gsjp-14087	153	4	statistically	statistically	ADV
gsjp-14087	153	5	significant	significant	ADJ
gsjp-14087	153	6	difference	difference	NOUN
gsjp-14087	153	7	was	be	AUX
gsjp-14087	153	8	found	find	VERB
gsjp-14087	153	9	between	between	ADP
gsjp-14087	153	10	groups	group	NOUN
gsjp-14087	153	11	on	on	ADP
gsjp-14087	153	12	the	the	DET
gsjp-14087	153	13	anxiety	anxiety	NOUN
gsjp-14087	153	14	subscale	subscale	NOUN
gsjp-14087	153	15	(	(	PUNCT
gsjp-14087	153	16	u	u	NOUN
gsjp-14087	153	17	=	=	NOUN
gsjp-14087	153	18	9.00e+6	9.00e+6	NUM
gsjp-14087	153	19	,	,	PUNCT
gsjp-14087	153	20	p	p	X
gsjp-14087	153	21	<	<	X
gsjp-14087	153	22	.001	.001	NUM
gsjp-14087	153	23	,	,	PUNCT
gsjp-14087	153	24	r	r	NOUN
gsjp-14087	153	25	=	=	NOUN
gsjp-14087	153	26	0.12	0.12	NUM
gsjp-14087	153	27	)	)	PUNCT
gsjp-14087	153	28	with	with	ADP
gsjp-14087	153	29	careless	careless	ADJ
gsjp-14087	153	30	responders	responder	NOUN
gsjp-14087	153	31	(	(	PUNCT
gsjp-14087	153	32	mdn	mdn	NOUN
gsjp-14087	153	33	=	=	NOUN
gsjp-14087	153	34	57.1	57.1	NUM
gsjp-14087	153	35	)	)	PUNCT
gsjp-14087	153	36	scoring	score	VERB
gsjp-14087	153	37	higher	high	ADJ
gsjp-14087	153	38	on	on	ADP
gsjp-14087	153	39	anxiety	anxiety	NOUN
gsjp-14087	153	40	than	than	ADP
gsjp-14087	153	41	careful	careful	ADJ
gsjp-14087	153	42	responders	responder	NOUN
gsjp-14087	153	43	(	(	PUNCT
gsjp-14087	153	44	mdn	mdn	NOUN
gsjp-14087	153	45	=	=	NOUN
gsjp-14087	153	46	51.8	51.8	NUM
gsjp-14087	153	47	)	)	PUNCT
gsjp-14087	153	48	.	.	PUNCT
gsjp-14087	154	1	finally	finally	ADV
gsjp-14087	154	2	,	,	PUNCT
gsjp-14087	154	3	higher	high	ADJ
gsjp-14087	154	4	stress	stress	NOUN
gsjp-14087	154	5	subscale	subscale	NOUN
gsjp-14087	154	6	scores	score	NOUN
gsjp-14087	154	7	were	be	AUX
gsjp-14087	154	8	found	find	VERB
gsjp-14087	154	9	among	among	ADP
gsjp-14087	154	10	careless	careless	ADJ
gsjp-14087	154	11	responders	responder	NOUN
gsjp-14087	154	12	(	(	PUNCT
gsjp-14087	154	13	mdn	mdn	NOUN
gsjp-14087	154	14	=	=	NOUN
gsjp-14087	154	15	65.9	65.9	NUM
gsjp-14087	154	16	)	)	PUNCT
gsjp-14087	154	17	than	than	ADP
gsjp-14087	154	18	careful	careful	ADJ
gsjp-14087	154	19	responders	responder	NOUN
gsjp-14087	154	20	(	(	PUNCT
gsjp-14087	154	21	mdn	mdn	NOUN
gsjp-14087	154	22	=	=	NOUN
gsjp-14087	154	23	62.5	62.5	NUM
gsjp-14087	154	24	)	)	PUNCT
gsjp-14087	154	25	with	with	ADP
gsjp-14087	154	26	a	a	DET
gsjp-14087	154	27	statistically	statistically	ADV
gsjp-14087	154	28	significant	significant	ADJ
gsjp-14087	154	29	difference	difference	NOUN
gsjp-14087	154	30	(	(	PUNCT
gsjp-14087	154	31	u	u	NOUN
gsjp-14087	154	32	=	=	SYM
gsjp-14087	154	33	9.62e+6	9.62e+6	NUM
gsjp-14087	154	34	,	,	PUNCT
gsjp-14087	154	35	p	p	NOUN
gsjp-14087	154	36	=	=	NOUN
gsjp-14087	154	37	.02	.02	NUM
gsjp-14087	154	38	,	,	PUNCT
gsjp-14087	154	39	r	r	NOUN
gsjp-14087	154	40	=	=	NOUN
gsjp-14087	154	41	.06	.06	NUM
gsjp-14087	154	42	)	)	PUNCT
gsjp-14087	154	43	.	.	PUNCT
gsjp-14087	155	1	in	in	ADP
gsjp-14087	155	2	summary	summary	NOUN
gsjp-14087	155	3	,	,	PUNCT
gsjp-14087	155	4	careless	careless	ADJ
gsjp-14087	155	5	responders	responder	NOUN
gsjp-14087	155	6	had	have	VERB
gsjp-14087	155	7	higher	high	ADJ
gsjp-14087	155	8	scores	score	NOUN
gsjp-14087	155	9	of	of	ADP
gsjp-14087	155	10	depression	depression	NOUN
gsjp-14087	155	11	,	,	PUNCT
gsjp-14087	155	12	anxiety	anxiety	NOUN
gsjp-14087	155	13	,	,	PUNCT
gsjp-14087	155	14	and	and	CCONJ
gsjp-14087	155	15	stress	stress	NOUN
gsjp-14087	155	16	than	than	ADP
gsjp-14087	155	17	careful	careful	ADJ
gsjp-14087	155	18	responders	responder	NOUN
gsjp-14087	155	19	.	.	PUNCT
gsjp-14087	156	1	predicting	predict	VERB
gsjp-14087	156	2	emotional	emotional	ADJ
gsjp-14087	156	3	distress	distress	NOUN
gsjp-14087	156	4	table	table	NOUN
gsjp-14087	156	5	3	3	NUM
gsjp-14087	156	6	shows	show	VERB
gsjp-14087	156	7	single	single	ADJ
gsjp-14087	156	8	classification	classification	NOUN
gsjp-14087	156	9	metrics	metric	NOUN
gsjp-14087	156	10	of	of	ADP
gsjp-14087	156	11	the	the	DET
gsjp-14087	156	12	four	four	NUM
gsjp-14087	156	13	machine	machine	NOUN
gsjp-14087	156	14	learning	learning	NOUN
gsjp-14087	156	15	models	model	NOUN
gsjp-14087	156	16	for	for	ADP
gsjp-14087	156	17	five	five	NUM
gsjp-14087	156	18	different	different	ADJ
gsjp-14087	156	19	severity	severity	NOUN
gsjp-14087	156	20	levels	level	NOUN
gsjp-14087	156	21	of	of	ADP
gsjp-14087	156	22	each	each	DET
gsjp-14087	156	23	emotional	emotional	ADJ
gsjp-14087	156	24	distress	distress	NOUN
gsjp-14087	156	25	.	.	PUNCT
gsjp-14087	157	1	even	even	ADV
gsjp-14087	157	2	though	though	SCONJ
gsjp-14087	157	3	machine	machine	NOUN
gsjp-14087	157	4	learning	learning	NOUN
gsjp-14087	157	5	models	model	NOUN
gsjp-14087	157	6	showed	show	VERB
gsjp-14087	157	7	roughly	roughly	ADV
gsjp-14087	157	8	similar	similar	ADJ
gsjp-14087	157	9	performance	performance	NOUN
gsjp-14087	157	10	,	,	PUNCT
gsjp-14087	157	11	dt	dt	X
gsjp-14087	157	12	,	,	PUNCT
gsjp-14087	157	13	rf	rf	NOUN
gsjp-14087	157	14	,	,	PUNCT
gsjp-14087	157	15	and	and	CCONJ
gsjp-14087	157	16	nb	nb	INTJ
gsjp-14087	157	17	yielded	yield	VERB
gsjp-14087	157	18	inconsistent	inconsistent	ADJ
gsjp-14087	157	19	sensitivity	sensitivity	NOUN
gsjp-14087	157	20	values	value	NOUN
gsjp-14087	157	21	for	for	ADP
gsjp-14087	157	22	mild	mild	ADJ
gsjp-14087	157	23	,	,	PUNCT
gsjp-14087	157	24	moderate	moderate	ADJ
gsjp-14087	157	25	,	,	PUNCT
gsjp-14087	157	26	and	and	CCONJ
gsjp-14087	157	27	severe	severe	ADJ
gsjp-14087	157	28	levels	level	NOUN
gsjp-14087	157	29	.	.	PUNCT
gsjp-14087	158	1	in	in	ADP
gsjp-14087	158	2	terms	term	NOUN
gsjp-14087	158	3	of	of	ADP
gsjp-14087	158	4	the	the	DET
gsjp-14087	158	5	depression	depression	NOUN
gsjp-14087	158	6	subscale	subscale	NOUN
gsjp-14087	158	7	,	,	PUNCT
gsjp-14087	158	8	classification	classification	NOUN
gsjp-14087	158	9	metrics	metric	NOUN
gsjp-14087	158	10	for	for	ADP
gsjp-14087	158	11	almost	almost	ADV
gsjp-14087	158	12	every	every	PRON
gsjp-14087	158	13	level	level	NOUN
gsjp-14087	158	14	exceeded	exceed	VERB
gsjp-14087	158	15	the	the	DET
gsjp-14087	158	16	acceptable	acceptable	ADJ
gsjp-14087	158	17	threshold	threshold	NOUN
gsjp-14087	158	18	of	of	ADP
gsjp-14087	158	19	70	70	NUM
gsjp-14087	158	20	%	%	NOUN
gsjp-14087	158	21	or	or	CCONJ
gsjp-14087	158	22	the	the	DET
gsjp-14087	158	23	optimal	optimal	ADJ
gsjp-14087	158	24	threshold	threshold	NOUN
gsjp-14087	158	25	of	of	ADP
gsjp-14087	158	26	80	80	NUM
gsjp-14087	158	27	%	%	NOUN
gsjp-14087	158	28	with	with	ADP
gsjp-14087	158	29	several	several	ADJ
gsjp-14087	158	30	exceptions	exception	NOUN
gsjp-14087	158	31	of	of	ADP
gsjp-14087	158	32	sensitivity	sensitivity	NOUN
gsjp-14087	158	33	values	value	NOUN
gsjp-14087	158	34	being	be	AUX
gsjp-14087	158	35	less	less	ADJ
gsjp-14087	158	36	than	than	ADP
gsjp-14087	158	37	the	the	DET
gsjp-14087	158	38	acceptable	acceptable	ADJ
gsjp-14087	158	39	threshold	threshold	NOUN
gsjp-14087	158	40	.	.	PUNCT
gsjp-14087	159	1	overall	overall	ADV
gsjp-14087	159	2	,	,	PUNCT
gsjp-14087	159	3	the	the	DET
gsjp-14087	159	4	svm	svm	PROPN
gsjp-14087	159	5	outperformed	outperform	VERB
gsjp-14087	159	6	the	the	DET
gsjp-14087	159	7	other	other	ADJ
gsjp-14087	159	8	models	model	NOUN
gsjp-14087	159	9	with	with	ADP
gsjp-14087	159	10	classification	classification	NOUN
gsjp-14087	159	11	metrics	metric	NOUN
gsjp-14087	159	12	exceeding	exceed	VERB
gsjp-14087	159	13	the	the	DET
gsjp-14087	159	14	optimal	optimal	ADJ
gsjp-14087	159	15	threshold	threshold	NOUN
gsjp-14087	159	16	for	for	ADP
gsjp-14087	159	17	each	each	DET
gsjp-14087	159	18	level	level	NOUN
gsjp-14087	159	19	.	.	PUNCT
gsjp-14087	160	1	regarding	regard	VERB
gsjp-14087	160	2	the	the	DET
gsjp-14087	160	3	anxiety	anxiety	NOUN
gsjp-14087	160	4	subscale	subscale	NOUN
gsjp-14087	160	5	(	(	PUNCT
gsjp-14087	160	6	see	see	VERB
gsjp-14087	160	7	table	table	NOUN
gsjp-14087	160	8	3	3	NUM
gsjp-14087	160	9	)	)	PUNCT
gsjp-14087	160	10	,	,	PUNCT
gsjp-14087	160	11	with	with	ADP
gsjp-14087	160	12	the	the	DET
gsjp-14087	160	13	exception	exception	NOUN
gsjp-14087	160	14	of	of	ADP
gsjp-14087	160	15	svm	svm	PROPN
gsjp-14087	160	16	,	,	PUNCT
gsjp-14087	160	17	the	the	DET
gsjp-14087	160	18	other	other	ADJ
gsjp-14087	160	19	models	model	NOUN
gsjp-14087	160	20	showed	show	VERB
gsjp-14087	160	21	mixed	mixed	ADJ
gsjp-14087	160	22	and	and	CCONJ
gsjp-14087	160	23	extremely	extremely	ADV
gsjp-14087	160	24	low	low	ADJ
gsjp-14087	160	25	sensitivity	sensitivity	NOUN
gsjp-14087	160	26	values	value	NOUN
gsjp-14087	160	27	for	for	ADP
gsjp-14087	160	28	the	the	DET
gsjp-14087	160	29	levels	level	NOUN
gsjp-14087	160	30	of	of	ADP
gsjp-14087	160	31	mild	mild	ADJ
gsjp-14087	160	32	,	,	PUNCT
gsjp-14087	160	33	moderate	moderate	ADJ
gsjp-14087	160	34	,	,	PUNCT
gsjp-14087	160	35	and	and	CCONJ
gsjp-14087	160	36	severe	severe	ADJ
gsjp-14087	160	37	,	,	PUNCT
gsjp-14087	160	38	while	while	SCONJ
gsjp-14087	160	39	others	other	NOUN
gsjp-14087	160	40	exceeded	exceed	VERB
gsjp-14087	160	41	the	the	DET
gsjp-14087	160	42	optimal	optimal	ADJ
gsjp-14087	160	43	threshold	threshold	NOUN
gsjp-14087	160	44	of	of	ADP
gsjp-14087	160	45	80	80	NUM
gsjp-14087	160	46	%	%	NOUN
gsjp-14087	160	47	.	.	PUNCT
gsjp-14087	161	1	similar	similar	ADJ
gsjp-14087	161	2	to	to	ADP
gsjp-14087	161	3	depression	depression	NOUN
gsjp-14087	161	4	,	,	PUNCT
gsjp-14087	161	5	svm	svm	PROPN
gsjp-14087	161	6	surpassed	surpass	VERB
gsjp-14087	161	7	the	the	DET
gsjp-14087	161	8	other	other	ADJ
gsjp-14087	161	9	models	model	NOUN
gsjp-14087	161	10	with	with	ADP
gsjp-14087	161	11	classification	classification	NOUN
gsjp-14087	161	12	metrics	metric	NOUN
gsjp-14087	161	13	above	above	ADP
gsjp-14087	161	14	the	the	DET
gsjp-14087	161	15	optimal	optimal	ADJ
gsjp-14087	161	16	threshold	threshold	NOUN
gsjp-14087	161	17	for	for	ADP
gsjp-14087	161	18	each	each	DET
gsjp-14087	161	19	level	level	NOUN
gsjp-14087	161	20	.	.	PUNCT
gsjp-14087	162	1	for	for	ADP
gsjp-14087	162	2	the	the	DET
gsjp-14087	162	3	stress	stress	NOUN
gsjp-14087	162	4	subscale	subscale	NOUN
gsjp-14087	162	5	(	(	PUNCT
gsjp-14087	162	6	see	see	VERB
gsjp-14087	162	7	table	table	NOUN
gsjp-14087	162	8	3	3	NUM
gsjp-14087	162	9	)	)	PUNCT
gsjp-14087	162	10	,	,	PUNCT
gsjp-14087	162	11	dt	dt	PROPN
gsjp-14087	162	12	,	,	PUNCT
gsjp-14087	162	13	rf	rf	ADJ
gsjp-14087	162	14	,	,	PUNCT
gsjp-14087	162	15	and	and	CCONJ
gsjp-14087	162	16	nb	nb	PROPN
gsjp-14087	162	17	showed	show	VERB
gsjp-14087	162	18	mixed	mixed	ADJ
gsjp-14087	162	19	and	and	CCONJ
gsjp-14087	162	20	low	low	ADJ
gsjp-14087	162	21	sensitivity	sensitivity	NOUN
gsjp-14087	162	22	values	value	NOUN
gsjp-14087	162	23	for	for	ADP
gsjp-14087	162	24	the	the	DET
gsjp-14087	162	25	levels	level	NOUN
gsjp-14087	162	26	of	of	ADP
gsjp-14087	162	27	mild	mild	ADJ
gsjp-14087	162	28	,	,	PUNCT
gsjp-14087	162	29	moderate	moderate	ADJ
gsjp-14087	162	30	,	,	PUNCT
gsjp-14087	162	31	and	and	CCONJ
gsjp-14087	162	32	severe	severe	ADJ
gsjp-14087	162	33	.	.	PUNCT
gsjp-14087	163	1	other	other	ADJ
gsjp-14087	163	2	measures	measure	NOUN
gsjp-14087	163	3	went	go	VERB
gsjp-14087	163	4	over	over	ADP
gsjp-14087	163	5	the	the	DET
gsjp-14087	163	6	optimal	optimal	ADJ
gsjp-14087	163	7	threshold	threshold	NOUN
gsjp-14087	163	8	of	of	ADP
gsjp-14087	163	9	80	80	NUM
gsjp-14087	163	10	%	%	NOUN
gsjp-14087	163	11	and	and	CCONJ
gsjp-14087	163	12	,	,	PUNCT
gsjp-14087	163	13	in	in	ADP
gsjp-14087	163	14	particular	particular	ADJ
gsjp-14087	163	15	,	,	PUNCT
gsjp-14087	163	16	svms	svms	NOUN
gsjp-14087	163	17	dominated	dominate	VERB
gsjp-14087	163	18	the	the	DET
gsjp-14087	163	19	other	other	ADJ
gsjp-14087	163	20	models	model	NOUN
gsjp-14087	163	21	in	in	ADP
gsjp-14087	163	22	terms	term	NOUN
gsjp-14087	163	23	of	of	ADP
gsjp-14087	163	24	sensitivity	sensitivity	NOUN
gsjp-14087	163	25	and	and	CCONJ
gsjp-14087	163	26	specificity	specificity	NOUN
gsjp-14087	163	27	,	,	PUNCT
gsjp-14087	163	28	which	which	PRON
gsjp-14087	163	29	were	be	AUX
gsjp-14087	163	30	either	either	CCONJ
gsjp-14087	163	31	100	100	NUM
gsjp-14087	163	32	%	%	NOUN
gsjp-14087	163	33	or	or	CCONJ
gsjp-14087	163	34	very	very	ADV
gsjp-14087	163	35	close	close	ADJ
gsjp-14087	163	36	.	.	PUNCT
gsjp-14087	164	1	we	we	PRON
gsjp-14087	164	2	also	also	ADV
gsjp-14087	164	3	macro	macro	VERB
gsjp-14087	164	4	-	-	VERB
gsjp-14087	164	5	averaged	average	VERB
gsjp-14087	164	6	the	the	DET
gsjp-14087	164	7	single	single	ADJ
gsjp-14087	164	8	metrics	metric	NOUN
gsjp-14087	164	9	by	by	ADP
gsjp-14087	164	10	calculating	calculate	VERB
gsjp-14087	164	11	the	the	DET
gsjp-14087	164	12	averages	average	NOUN
gsjp-14087	164	13	of	of	ADP
gsjp-14087	164	14	sensitivity	sensitivity	NOUN
gsjp-14087	164	15	and	and	CCONJ
gsjp-14087	164	16	specificity	specificity	NOUN
gsjp-14087	164	17	values	value	NOUN
gsjp-14087	164	18	over	over	ADP
gsjp-14087	164	19	severity	severity	NOUN
gsjp-14087	164	20	levels	level	NOUN
gsjp-14087	164	21	(	(	PUNCT
gsjp-14087	164	22	see	see	VERB
gsjp-14087	164	23	figure	figure	NOUN
gsjp-14087	164	24	4	4	NUM
gsjp-14087	164	25	)	)	PUNCT
gsjp-14087	164	26	.	.	PUNCT
gsjp-14087	165	1	based	base	VERB
gsjp-14087	165	2	on	on	ADP
gsjp-14087	165	3	the	the	DET
gsjp-14087	165	4	macro	macro	NOUN
gsjp-14087	165	5	-	-	NOUN
gsjp-14087	165	6	averaging	averaging	NOUN
gsjp-14087	165	7	,	,	PUNCT
gsjp-14087	165	8	four	four	NUM
gsjp-14087	165	9	machine	machine	NOUN
gsjp-14087	165	10	learning	learning	NOUN
gsjp-14087	165	11	models	model	NOUN
gsjp-14087	165	12	for	for	ADP
gsjp-14087	165	13	three	three	NUM
gsjp-14087	165	14	types	type	NOUN
gsjp-14087	165	15	of	of	ADP
gsjp-14087	165	16	emotional	emotional	ADJ
gsjp-14087	165	17	distress	distress	NOUN
gsjp-14087	165	18	showed	show	VERB
gsjp-14087	165	19	similar	similar	ADJ
gsjp-14087	165	20	results	result	NOUN
gsjp-14087	165	21	in	in	ADP
gsjp-14087	165	22	terms	term	NOUN
gsjp-14087	165	23	of	of	ADP
gsjp-14087	165	24	specificity	specificity	NOUN
gsjp-14087	165	25	values	value	NOUN
gsjp-14087	165	26	being	be	AUX
gsjp-14087	165	27	larger	large	ADJ
gsjp-14087	165	28	than	than	ADP
gsjp-14087	165	29	90	90	NUM
gsjp-14087	165	30	%	%	NOUN
gsjp-14087	165	31	,	,	PUNCT
gsjp-14087	165	32	exceeding	exceed	VERB
gsjp-14087	165	33	the	the	DET
gsjp-14087	165	34	optimal	optimal	ADJ
gsjp-14087	165	35	threshold	threshold	NOUN
gsjp-14087	165	36	,	,	PUNCT
gsjp-14087	165	37	whereas	whereas	SCONJ
gsjp-14087	165	38	they	they	PRON
gsjp-14087	165	39	showed	show	VERB
gsjp-14087	165	40	mixed	mixed	ADJ
gsjp-14087	165	41	results	result	NOUN
gsjp-14087	165	42	for	for	ADP
gsjp-14087	165	43	sensitivity	sensitivity	NOUN
gsjp-14087	165	44	.	.	PUNCT
gsjp-14087	166	1	only	only	ADV
gsjp-14087	166	2	svm	svm	PROPN
gsjp-14087	166	3	exceeded	exceed	VERB
gsjp-14087	166	4	the	the	DET
gsjp-14087	166	5	optimal	optimal	ADJ
gsjp-14087	166	6	threshold	threshold	NOUN
gsjp-14087	166	7	,	,	PUNCT
gsjp-14087	166	8	with	with	ADP
gsjp-14087	166	9	sensitivity	sensitivity	NOUN
gsjp-14087	166	10	values	value	NOUN
gsjp-14087	166	11	being	be	AUX
gsjp-14087	166	12	larger	large	ADJ
gsjp-14087	166	13	than	than	ADP
gsjp-14087	166	14	90	90	NUM
gsjp-14087	166	15	%	%	NOUN
gsjp-14087	166	16	across	across	ADP
gsjp-14087	166	17	all	all	DET
gsjp-14087	166	18	three	three	NUM
gsjp-14087	166	19	types	type	NOUN
gsjp-14087	166	20	of	of	ADP
gsjp-14087	166	21	emotional	emotional	ADJ
gsjp-14087	166	22	distress	distress	NOUN
gsjp-14087	166	23	.	.	PUNCT
gsjp-14087	167	1	these	these	DET
gsjp-14087	167	2	results	result	NOUN
gsjp-14087	167	3	reveal	reveal	VERB
gsjp-14087	167	4	that	that	SCONJ
gsjp-14087	167	5	true	true	ADJ
gsjp-14087	167	6	negatives	negative	NOUN
gsjp-14087	167	7	can	can	AUX
gsjp-14087	167	8	be	be	AUX
gsjp-14087	167	9	predicted	predict	VERB
gsjp-14087	167	10	with	with	ADP
gsjp-14087	167	11	optimal	optimal	ADJ
gsjp-14087	167	12	sensitivity	sensitivity	NOUN
gsjp-14087	167	13	and	and	CCONJ
gsjp-14087	167	14	specificity	specificity	NOUN
gsjp-14087	167	15	by	by	ADP
gsjp-14087	167	16	all	all	DET
gsjp-14087	167	17	four	four	NUM
gsjp-14087	167	18	classification	classification	NOUN
gsjp-14087	167	19	models	model	NOUN
gsjp-14087	167	20	.	.	PUNCT
gsjp-14087	168	1	however	however	ADV
gsjp-14087	168	2	,	,	PUNCT
gsjp-14087	168	3	both	both	DET
gsjp-14087	168	4	true	true	ADJ
gsjp-14087	168	5	positives	positive	NOUN
gsjp-14087	168	6	and	and	CCONJ
gsjp-14087	168	7	true	true	ADJ
gsjp-14087	168	8	negatives	negative	NOUN
gsjp-14087	168	9	can	can	AUX
gsjp-14087	168	10	be	be	AUX
gsjp-14087	168	11	predicted	predict	VERB
gsjp-14087	168	12	with	with	ADP
gsjp-14087	168	13	optimal	optimal	ADJ
gsjp-14087	168	14	sensitivity	sensitivity	NOUN
gsjp-14087	168	15	and	and	CCONJ
gsjp-14087	168	16	specificity	specificity	NOUN
gsjp-14087	168	17	by	by	ADP
gsjp-14087	168	18	only	only	ADJ
gsjp-14087	168	19	svm	svm	PROPN
gsjp-14087	168	20	.	.	PROPN
gsjp-14087	169	1	in	in	ADP
gsjp-14087	169	2	addition	addition	NOUN
gsjp-14087	169	3	,	,	PUNCT
gsjp-14087	169	4	among	among	ADP
gsjp-14087	169	5	all	all	DET
gsjp-14087	169	6	four	four	NUM
gsjp-14087	169	7	machine	machine	NOUN
gsjp-14087	169	8	learning	learning	NOUN
gsjp-14087	169	9	methods	method	NOUN
gsjp-14087	169	10	,	,	PUNCT
gsjp-14087	169	11	svm	svm	PROPN
gsjp-14087	169	12	had	have	VERB
gsjp-14087	169	13	the	the	DET
gsjp-14087	169	14	highest	high	ADJ
gsjp-14087	169	15	accuracy	accuracy	NOUN
gsjp-14087	169	16	of	of	ADP
gsjp-14087	169	17	classification	classification	NOUN
gsjp-14087	169	18	compared	compare	VERB
gsjp-14087	169	19	to	to	ADP
gsjp-14087	169	20	the	the	DET
gsjp-14087	169	21	other	other	ADJ
gsjp-14087	169	22	methods	method	NOUN
gsjp-14087	169	23	across	across	ADP
gsjp-14087	169	24	all	all	DET
gsjp-14087	169	25	three	three	NUM
gsjp-14087	169	26	emotional	emotional	ADJ
gsjp-14087	169	27	distress	distress	NOUN
gsjp-14087	169	28	,	,	PUNCT
gsjp-14087	169	29	followed	follow	VERB
gsjp-14087	169	30	by	by	ADP
gsjp-14087	169	31	rf	rf	NOUN
gsjp-14087	169	32	,	,	PUNCT
gsjp-14087	169	33	dt	dt	X
gsjp-14087	169	34	,	,	PUNCT
gsjp-14087	169	35	and	and	CCONJ
gsjp-14087	169	36	nb	nb	INTJ
gsjp-14087	169	37	(	(	PUNCT
gsjp-14087	169	38	see	see	VERB
gsjp-14087	169	39	figure	figure	NOUN
gsjp-14087	169	40	5	5	NUM
gsjp-14087	169	41	)	)	PUNCT
gsjp-14087	169	42	.	.	PUNCT
gsjp-14087	170	1	78	78	NUM
gsjp-14087	170	2	discussion	discussion	NOUN
gsjp-14087	170	3	the	the	DET
gsjp-14087	170	4	current	current	ADJ
gsjp-14087	170	5	exploratory	exploratory	ADJ
gsjp-14087	170	6	study	study	NOUN
gsjp-14087	170	7	contributes	contribute	VERB
gsjp-14087	170	8	to	to	ADP
gsjp-14087	170	9	the	the	DET
gsjp-14087	170	10	literature	literature	NOUN
gsjp-14087	170	11	by	by	ADP
gsjp-14087	170	12	investigating	investigate	VERB
gsjp-14087	170	13	the	the	DET
gsjp-14087	170	14	relationship	relationship	NOUN
gsjp-14087	170	15	between	between	ADP
gsjp-14087	170	16	careless	careless	ADJ
gsjp-14087	170	17	responding	responding	NOUN
gsjp-14087	170	18	and	and	CCONJ
gsjp-14087	170	19	self	self	NOUN
gsjp-14087	170	20	-	-	PUNCT
gsjp-14087	170	21	reported	report	VERB
gsjp-14087	170	22	depression	depression	NOUN
gsjp-14087	170	23	,	,	PUNCT
gsjp-14087	170	24	anxiety	anxiety	NOUN
gsjp-14087	170	25	,	,	PUNCT
gsjp-14087	170	26	and	and	CCONJ
gsjp-14087	170	27	stress	stress	NOUN
gsjp-14087	170	28	using	use	VERB
gsjp-14087	170	29	response	response	NOUN
gsjp-14087	170	30	behavior	behavior	NOUN
gsjp-14087	170	31	information	information	NOUN
gsjp-14087	170	32	(	(	PUNCT
gsjp-14087	170	33	i.e.	i.e.	X
gsjp-14087	170	34	,	,	PUNCT
gsjp-14087	170	35	response	response	NOUN
gsjp-14087	170	36	time	time	NOUN
gsjp-14087	170	37	)	)	PUNCT
gsjp-14087	170	38	.	.	PUNCT
gsjp-14087	171	1	additionally	additionally	ADV
gsjp-14087	171	2	,	,	PUNCT
gsjp-14087	171	3	the	the	DET
gsjp-14087	171	4	inclusion	inclusion	NOUN
gsjp-14087	171	5	of	of	ADP
gsjp-14087	171	6	item	item	NOUN
gsjp-14087	171	7	response	response	NOUN
gsjp-14087	171	8	time	time	NOUN
gsjp-14087	171	9	in	in	ADP
gsjp-14087	171	10	machine	machine	NOUN
gsjp-14087	171	11	learning	learning	NOUN
gsjp-14087	171	12	models	model	NOUN
gsjp-14087	171	13	was	be	AUX
gsjp-14087	171	14	explored	explore	VERB
gsjp-14087	171	15	for	for	ADP
gsjp-14087	171	16	predicting	predict	VERB
gsjp-14087	171	17	depression	depression	NOUN
gsjp-14087	171	18	,	,	PUNCT
gsjp-14087	171	19	anxiety	anxiety	NOUN
gsjp-14087	171	20	,	,	PUNCT
gsjp-14087	171	21	and	and	CCONJ
gsjp-14087	171	22	stress	stress	NOUN
gsjp-14087	171	23	severity	severity	NOUN
gsjp-14087	171	24	levels	level	NOUN
gsjp-14087	171	25	.	.	PUNCT
gsjp-14087	172	1	these	these	DET
gsjp-14087	172	2	findings	finding	NOUN
gsjp-14087	172	3	are	be	AUX
gsjp-14087	172	4	germane	germane	ADJ
gsjp-14087	172	5	to	to	ADP
gsjp-14087	172	6	researchers	researcher	NOUN
gsjp-14087	172	7	who	who	PRON
gsjp-14087	172	8	use	use	VERB
gsjp-14087	172	9	computerized	computerized	ADJ
gsjp-14087	172	10	self	self	NOUN
gsjp-14087	172	11	-	-	PUNCT
gsjp-14087	172	12	report	report	NOUN
gsjp-14087	172	13	measures	measure	NOUN
gsjp-14087	172	14	,	,	PUNCT
gsjp-14087	172	15	as	as	SCONJ
gsjp-14087	172	16	response	response	NOUN
gsjp-14087	172	17	time	time	NOUN
gsjp-14087	172	18	can	can	AUX
gsjp-14087	172	19	aid	aid	VERB
gsjp-14087	172	20	in	in	ADP
gsjp-14087	172	21	the	the	DET
gsjp-14087	172	22	identification	identification	NOUN
gsjp-14087	172	23	of	of	ADP
gsjp-14087	172	24	careless	careless	ADJ
gsjp-14087	172	25	responders	responder	NOUN
gsjp-14087	172	26	who	who	PRON
gsjp-14087	172	27	bias	bias	VERB
gsjp-14087	172	28	datasets	dataset	NOUN
gsjp-14087	172	29	and	and	CCONJ
gsjp-14087	172	30	invalidate	invalidate	VERB
gsjp-14087	172	31	individual	individual	ADJ
gsjp-14087	172	32	testing	testing	NOUN
gsjp-14087	172	33	profiles	profile	NOUN
gsjp-14087	172	34	.	.	PUNCT
gsjp-14087	173	1	furthermore	furthermore	ADV
gsjp-14087	173	2	,	,	PUNCT
gsjp-14087	173	3	machine	machine	NOUN
gsjp-14087	173	4	learning	learning	NOUN
gsjp-14087	173	5	models	model	NOUN
gsjp-14087	173	6	can	can	AUX
gsjp-14087	173	7	efficiently	efficiently	ADV
gsjp-14087	173	8	predict	predict	VERB
gsjp-14087	173	9	the	the	DET
gsjp-14087	173	10	severity	severity	NOUN
gsjp-14087	173	11	level	level	NOUN
gsjp-14087	173	12	of	of	ADP
gsjp-14087	173	13	emotional	emotional	ADJ
gsjp-14087	173	14	distress	distress	NOUN
gsjp-14087	173	15	by	by	ADP
gsjp-14087	173	16	taking	take	VERB
gsjp-14087	173	17	not	not	PART
gsjp-14087	173	18	only	only	ADV
gsjp-14087	173	19	item	item	NOUN
gsjp-14087	173	20	responses	response	NOUN
gsjp-14087	173	21	but	but	CCONJ
gsjp-14087	173	22	also	also	ADV
gsjp-14087	173	23	response	response	VERB
gsjp-14087	173	24	time	time	NOUN
gsjp-14087	173	25	patterns	pattern	NOUN
gsjp-14087	173	26	into	into	ADP
gsjp-14087	173	27	account	account	NOUN
gsjp-14087	173	28	.	.	PUNCT
gsjp-14087	174	1	response	response	NOUN
gsjp-14087	174	2	time	time	NOUN
gsjp-14087	174	3	measures	measure	NOUN
gsjp-14087	174	4	at	at	ADP
gsjp-14087	174	5	the	the	DET
gsjp-14087	174	6	page	page	NOUN
gsjp-14087	174	7	and	and	CCONJ
gsjp-14087	174	8	survey	survey	NOUN
gsjp-14087	174	9	levels	level	NOUN
gsjp-14087	174	10	have	have	AUX
gsjp-14087	174	11	been	be	AUX
gsjp-14087	174	12	shown	show	VERB
gsjp-14087	174	13	to	to	PART
gsjp-14087	174	14	have	have	VERB
gsjp-14087	174	15	limited	limited	ADJ
gsjp-14087	174	16	utility	utility	NOUN
gsjp-14087	174	17	compared	compare	VERB
gsjp-14087	174	18	to	to	ADP
gsjp-14087	174	19	other	other	ADJ
gsjp-14087	174	20	measures	measure	NOUN
gsjp-14087	174	21	of	of	ADP
gsjp-14087	174	22	careless	careless	ADJ
gsjp-14087	174	23	responding	respond	VERB
gsjp-14087	174	24	(	(	PUNCT
gsjp-14087	174	25	ashley	ashley	PROPN
gsjp-14087	174	26	&	&	CCONJ
gsjp-14087	174	27	shaughnessy	shaughnessy	PROPN
gsjp-14087	174	28	,	,	PUNCT
gsjp-14087	174	29	2021	2021	NUM
gsjp-14087	174	30	;	;	PUNCT
gsjp-14087	174	31	ward	ward	NOUN
gsjp-14087	174	32	&	&	CCONJ
gsjp-14087	174	33	meade	meade	NOUN
gsjp-14087	174	34	,	,	PUNCT
gsjp-14087	174	35	2022	2022	NUM
gsjp-14087	174	36	)	)	PUNCT
gsjp-14087	174	37	;	;	PUNCT
gsjp-14087	174	38	however	however	ADV
gsjp-14087	174	39	,	,	PUNCT
gsjp-14087	174	40	in	in	ADP
gsjp-14087	174	41	line	line	NOUN
gsjp-14087	174	42	with	with	ADP
gsjp-14087	174	43	previous	previous	ADJ
gsjp-14087	174	44	research	research	NOUN
gsjp-14087	174	45	,	,	PUNCT
gsjp-14087	174	46	the	the	DET
gsjp-14087	174	47	current	current	ADJ
gsjp-14087	174	48	study	study	NOUN
gsjp-14087	174	49	illustrated	illustrate	VERB
gsjp-14087	174	50	the	the	DET
gsjp-14087	174	51	usefulness	usefulness	NOUN
gsjp-14087	174	52	of	of	ADP
gsjp-14087	174	53	behavioral	behavioral	ADJ
gsjp-14087	174	54	response	response	NOUN
gsjp-14087	174	55	data	datum	NOUN
gsjp-14087	174	56	at	at	ADP
gsjp-14087	174	57	the	the	DET
gsjp-14087	174	58	individual	individual	ADJ
gsjp-14087	174	59	item	item	NOUN
gsjp-14087	174	60	level	level	NOUN
gsjp-14087	174	61	.	.	PUNCT
gsjp-14087	175	1	since	since	SCONJ
gsjp-14087	175	2	careless	careless	ADJ
gsjp-14087	175	3	responders	responder	NOUN
gsjp-14087	175	4	are	be	AUX
gsjp-14087	175	5	assumed	assume	VERB
gsjp-14087	175	6	to	to	PART
gsjp-14087	175	7	have	have	VERB
gsjp-14087	175	8	rapid	rapid	ADJ
gsjp-14087	175	9	response	response	NOUN
gsjp-14087	175	10	times	time	NOUN
gsjp-14087	175	11	,	,	PUNCT
gsjp-14087	175	12	which	which	PRON
gsjp-14087	175	13	is	be	AUX
gsjp-14087	175	14	consistent	consistent	ADJ
gsjp-14087	175	15	with	with	ADP
gsjp-14087	175	16	their	their	PRON
gsjp-14087	175	17	motivations	motivation	NOUN
gsjp-14087	175	18	to	to	PART
gsjp-14087	175	19	finish	finish	VERB
gsjp-14087	175	20	the	the	DET
gsjp-14087	175	21	survey	survey	NOUN
gsjp-14087	175	22	quickly	quickly	ADV
gsjp-14087	175	23	,	,	PUNCT
gsjp-14087	175	24	the	the	DET
gsjp-14087	175	25	item	item	NOUN
gsjp-14087	175	26	response	response	NOUN
gsjp-14087	175	27	time	time	NOUN
gsjp-14087	175	28	is	be	AUX
gsjp-14087	175	29	expected	expect	VERB
gsjp-14087	175	30	to	to	PART
gsjp-14087	175	31	catch	catch	VERB
gsjp-14087	175	32	careless	careless	ADJ
gsjp-14087	175	33	responders	responder	NOUN
gsjp-14087	175	34	regardless	regardless	ADV
gsjp-14087	175	35	of	of	ADP
gsjp-14087	175	36	their	their	PRON
gsjp-14087	175	37	response	response	NOUN
gsjp-14087	175	38	style	style	NOUN
gsjp-14087	175	39	(	(	PUNCT
gsjp-14087	175	40	curran	curran	NOUN
gsjp-14087	175	41	,	,	PUNCT
gsjp-14087	175	42	2016	2016	NUM
gsjp-14087	175	43	)	)	PUNCT
gsjp-14087	175	44	.	.	PUNCT
gsjp-14087	176	1	this	this	DET
gsjp-14087	176	2	careless	careless	ADJ
gsjp-14087	176	3	response	response	NOUN
gsjp-14087	176	4	detection	detection	NOUN
gsjp-14087	176	5	method	method	NOUN
gsjp-14087	176	6	has	have	VERB
gsjp-14087	176	7	potential	potential	ADJ
gsjp-14087	176	8	utility	utility	NOUN
gsjp-14087	176	9	for	for	ADP
gsjp-14087	176	10	any	any	DET
gsjp-14087	176	11	self	self	NOUN
gsjp-14087	176	12	-	-	PUNCT
gsjp-14087	176	13	report	report	NOUN
gsjp-14087	176	14	dataset	dataset	VERB
gsjp-14087	176	15	with	with	ADP
gsjp-14087	176	16	item	item	NOUN
gsjp-14087	176	17	-	-	PUNCT
gsjp-14087	176	18	level	level	NOUN
gsjp-14087	176	19	response	response	NOUN
gsjp-14087	176	20	time	time	NOUN
gsjp-14087	176	21	.	.	PUNCT
gsjp-14087	177	1	in	in	ADP
gsjp-14087	177	2	addition	addition	NOUN
gsjp-14087	177	3	to	to	ADP
gsjp-14087	177	4	the	the	DET
gsjp-14087	177	5	detection	detection	NOUN
gsjp-14087	177	6	of	of	ADP
gsjp-14087	177	7	careless	careless	ADJ
gsjp-14087	177	8	responders	responder	NOUN
gsjp-14087	177	9	for	for	ADP
gsjp-14087	177	10	data	datum	NOUN
gsjp-14087	177	11	quality	quality	NOUN
gsjp-14087	177	12	purposes	purpose	NOUN
gsjp-14087	177	13	,	,	PUNCT
gsjp-14087	177	14	the	the	DET
gsjp-14087	177	15	findings	finding	NOUN
gsjp-14087	177	16	of	of	ADP
gsjp-14087	177	17	the	the	DET
gsjp-14087	177	18	current	current	ADJ
gsjp-14087	177	19	study	study	NOUN
gsjp-14087	177	20	indicate	indicate	VERB
gsjp-14087	177	21	that	that	SCONJ
gsjp-14087	177	22	item	item	NOUN
gsjp-14087	177	23	response	response	NOUN
gsjp-14087	177	24	behavior	behavior	NOUN
gsjp-14087	177	25	provides	provide	VERB
gsjp-14087	177	26	clinically	clinically	ADV
gsjp-14087	177	27	relevant	relevant	ADJ
gsjp-14087	177	28	information	information	NOUN
gsjp-14087	177	29	:	:	PUNCT
gsjp-14087	177	30	emotional	emotional	ADJ
gsjp-14087	177	31	distress	distress	NOUN
gsjp-14087	177	32	is	be	AUX
gsjp-14087	177	33	correlated	correlate	VERB
gsjp-14087	177	34	with	with	ADP
gsjp-14087	177	35	a	a	DET
gsjp-14087	177	36	behavioral	behavioral	ADJ
gsjp-14087	177	37	measure	measure	NOUN
gsjp-14087	177	38	at	at	ADP
gsjp-14087	177	39	an	an	DET
gsjp-14087	177	40	item	item	NOUN
gsjp-14087	177	41	-	-	PUNCT
gsjp-14087	177	42	specific	specific	ADJ
gsjp-14087	177	43	level	level	NOUN
gsjp-14087	177	44	.	.	PUNCT
gsjp-14087	178	1	researchers	researcher	NOUN
gsjp-14087	178	2	have	have	AUX
gsjp-14087	178	3	drawn	draw	VERB
gsjp-14087	178	4	theoretical	theoretical	ADJ
gsjp-14087	178	5	links	link	NOUN
gsjp-14087	178	6	between	between	ADP
gsjp-14087	178	7	negative	negative	ADJ
gsjp-14087	178	8	emotional	emotional	ADJ
gsjp-14087	178	9	states	state	NOUN
gsjp-14087	178	10	(	(	PUNCT
gsjp-14087	178	11	i.e.	i.e.	X
gsjp-14087	178	12	,	,	PUNCT
gsjp-14087	178	13	depression	depression	NOUN
gsjp-14087	178	14	,	,	PUNCT
gsjp-14087	178	15	anxiety	anxiety	NOUN
gsjp-14087	178	16	,	,	PUNCT
gsjp-14087	178	17	and	and	CCONJ
gsjp-14087	178	18	stress	stress	NOUN
gsjp-14087	178	19	)	)	PUNCT
gsjp-14087	178	20	and	and	CCONJ
gsjp-14087	178	21	careless	careless	ADJ
gsjp-14087	178	22	responding	respond	VERB
gsjp-14087	178	23	behavior	behavior	NOUN
gsjp-14087	178	24	(	(	PUNCT
gsjp-14087	178	25	ashley	ashley	PROPN
gsjp-14087	178	26	&	&	CCONJ
gsjp-14087	178	27	shaughnessy	shaughnessy	PROPN
gsjp-14087	178	28	,	,	PUNCT
gsjp-14087	178	29	2021	2021	NUM
gsjp-14087	178	30	;	;	PUNCT
gsjp-14087	178	31	conjin	conjin	NOUN
gsjp-14087	178	32	et	et	PROPN
gsjp-14087	178	33	al	al	PROPN
gsjp-14087	178	34	.	.	PROPN
gsjp-14087	178	35	,	,	PUNCT
gsjp-14087	178	36	2020	2020	NUM
gsjp-14087	178	37	)	)	PUNCT
gsjp-14087	178	38	.	.	PUNCT
gsjp-14087	179	1	the	the	DET
gsjp-14087	179	2	cognitive	cognitive	ADJ
gsjp-14087	179	3	and	and	CCONJ
gsjp-14087	179	4	emotional	emotional	ADJ
gsjp-14087	179	5	characteristics	characteristic	NOUN
gsjp-14087	179	6	of	of	ADP
gsjp-14087	179	7	emotional	emotional	ADJ
gsjp-14087	179	8	distress	distress	NOUN
gsjp-14087	179	9	are	be	AUX
gsjp-14087	179	10	theorized	theorize	VERB
gsjp-14087	179	11	as	as	ADP
gsjp-14087	179	12	the	the	DET
gsjp-14087	179	13	mechanism	mechanism	NOUN
gsjp-14087	179	14	explaining	explain	VERB
gsjp-14087	179	15	high	high	ADJ
gsjp-14087	179	16	rates	rate	NOUN
gsjp-14087	179	17	of	of	ADP
gsjp-14087	179	18	careless	careless	ADJ
gsjp-14087	179	19	responding	respond	VERB
gsjp-14087	179	20	in	in	ADP
gsjp-14087	179	21	emotionally	emotionally	ADV
gsjp-14087	179	22	distressed	distressed	ADJ
gsjp-14087	179	23	individuals	individual	NOUN
gsjp-14087	179	24	(	(	PUNCT
gsjp-14087	179	25	ashley	ashley	PROPN
gsjp-14087	179	26	&	&	CCONJ
gsjp-14087	179	27	shaughnessy	shaughnessy	PROPN
gsjp-14087	179	28	,	,	PUNCT
gsjp-14087	179	29	2021	2021	NUM
gsjp-14087	179	30	;	;	PUNCT
gsjp-14087	179	31	conjin	conjin	NOUN
gsjp-14087	179	32	et	et	PROPN
gsjp-14087	179	33	al	al	PROPN
gsjp-14087	179	34	.	.	PROPN
gsjp-14087	179	35	,	,	PUNCT
gsjp-14087	179	36	2020	2020	NUM
gsjp-14087	179	37	)	)	PUNCT
gsjp-14087	179	38	.	.	PUNCT
gsjp-14087	180	1	however	however	ADV
gsjp-14087	180	2	,	,	PUNCT
gsjp-14087	180	3	additional	additional	ADJ
gsjp-14087	180	4	research	research	NOUN
gsjp-14087	180	5	is	be	AUX
gsjp-14087	180	6	needed	need	VERB
gsjp-14087	180	7	to	to	PART
gsjp-14087	180	8	clarify	clarify	VERB
gsjp-14087	180	9	the	the	DET
gsjp-14087	180	10	links	link	NOUN
gsjp-14087	180	11	between	between	ADP
gsjp-14087	180	12	careless	careless	ADJ
gsjp-14087	180	13	responding	responding	NOUN
gsjp-14087	180	14	and	and	CCONJ
gsjp-14087	180	15	depression	depression	NOUN
gsjp-14087	180	16	,	,	PUNCT
gsjp-14087	180	17	anxiety	anxiety	NOUN
gsjp-14087	180	18	,	,	PUNCT
gsjp-14087	180	19	and	and	CCONJ
gsjp-14087	180	20	stress	stress	NOUN
gsjp-14087	180	21	.	.	PUNCT
gsjp-14087	181	1	for	for	ADP
gsjp-14087	181	2	example	example	NOUN
gsjp-14087	181	3	,	,	PUNCT
gsjp-14087	181	4	some	some	DET
gsjp-14087	181	5	theories	theory	NOUN
gsjp-14087	181	6	suggest	suggest	VERB
gsjp-14087	181	7	that	that	SCONJ
gsjp-14087	181	8	depressed	depressed	ADJ
gsjp-14087	181	9	individuals	individual	NOUN
gsjp-14087	181	10	have	have	AUX
gsjp-14087	181	11	heightened	heighten	VERB
gsjp-14087	181	12	attention	attention	NOUN
gsjp-14087	181	13	towards	towards	ADP
gsjp-14087	181	14	mood	mood	NOUN
gsjp-14087	181	15	-	-	PUNCT
gsjp-14087	181	16	congruent	congruent	ADJ
gsjp-14087	181	17	stimuli	stimulus	NOUN
gsjp-14087	181	18	(	(	PUNCT
gsjp-14087	181	19	e.g.	e.g.	ADV
gsjp-14087	181	20	,	,	PUNCT
gsjp-14087	181	21	survey	survey	NOUN
gsjp-14087	181	22	items	item	NOUN
gsjp-14087	181	23	)	)	PUNCT
gsjp-14087	181	24	,	,	PUNCT
gsjp-14087	181	25	while	while	SCONJ
gsjp-14087	181	26	others	other	NOUN
gsjp-14087	181	27	suggest	suggest	VERB
gsjp-14087	181	28	that	that	DET
gsjp-14087	181	29	avoidance	avoidance	NOUN
gsjp-14087	181	30	of	of	ADP
gsjp-14087	181	31	mood	mood	NOUN
gsjp-14087	181	32	-	-	PUNCT
gsjp-14087	181	33	congruent	congruent	ADJ
gsjp-14087	181	34	stimuli	stimulus	NOUN
gsjp-14087	181	35	is	be	AUX
gsjp-14087	181	36	typical	typical	ADJ
gsjp-14087	181	37	in	in	ADP
gsjp-14087	181	38	depressed	depressed	ADJ
gsjp-14087	181	39	individuals	individual	NOUN
gsjp-14087	181	40	(	(	PUNCT
gsjp-14087	181	41	hubbard	hubbard	PROPN
gsjp-14087	181	42	et	et	PROPN
gsjp-14087	181	43	al	al	PROPN
gsjp-14087	181	44	.	.	PROPN
gsjp-14087	181	45	,	,	PUNCT
gsjp-14087	181	46	2016	2016	NUM
gsjp-14087	181	47	)	)	PUNCT
gsjp-14087	181	48	.	.	PUNCT
gsjp-14087	182	1	the	the	DET
gsjp-14087	182	2	association	association	NOUN
gsjp-14087	182	3	between	between	ADP
gsjp-14087	182	4	item	item	NOUN
gsjp-14087	182	5	response	response	NOUN
gsjp-14087	182	6	time	time	NOUN
gsjp-14087	182	7	and	and	CCONJ
gsjp-14087	182	8	emotional	emotional	ADJ
gsjp-14087	182	9	distress	distress	NOUN
gsjp-14087	182	10	found	find	VERB
gsjp-14087	182	11	in	in	ADP
gsjp-14087	182	12	the	the	DET
gsjp-14087	182	13	current	current	ADJ
gsjp-14087	182	14	study	study	NOUN
gsjp-14087	182	15	suggests	suggest	VERB
gsjp-14087	182	16	that	that	SCONJ
gsjp-14087	182	17	item	item	NOUN
gsjp-14087	182	18	response	response	NOUN
gsjp-14087	182	19	time	time	NOUN
gsjp-14087	182	20	can	can	AUX
gsjp-14087	182	21	be	be	AUX
gsjp-14087	182	22	a	a	DET
gsjp-14087	182	23	novel	novel	ADJ
gsjp-14087	182	24	and	and	CCONJ
gsjp-14087	182	25	precise	precise	ADJ
gsjp-14087	182	26	approach	approach	NOUN
gsjp-14087	182	27	to	to	ADP
gsjp-14087	182	28	testing	testing	NOUN
gsjp-14087	182	29	theories	theory	NOUN
gsjp-14087	182	30	of	of	ADP
gsjp-14087	182	31	emotional	emotional	ADJ
gsjp-14087	182	32	distress	distress	NOUN
gsjp-14087	182	33	by	by	ADP
gsjp-14087	182	34	unpacking	unpack	VERB
gsjp-14087	182	35	the	the	DET
gsjp-14087	182	36	patterns	pattern	NOUN
gsjp-14087	182	37	of	of	ADP
gsjp-14087	182	38	careless	careless	ADJ
gsjp-14087	182	39	responding	responding	NOUN
gsjp-14087	182	40	associated	associate	VERB
gsjp-14087	182	41	with	with	ADP
gsjp-14087	182	42	specific	specific	ADJ
gsjp-14087	182	43	emotional	emotional	ADJ
gsjp-14087	182	44	states	state	NOUN
gsjp-14087	182	45	(	(	PUNCT
gsjp-14087	182	46	castaneda	castaneda	PROPN
gsjp-14087	182	47	et	et	PROPN
gsjp-14087	182	48	al	al	PROPN
gsjp-14087	182	49	.	.	PROPN
gsjp-14087	182	50	,	,	PUNCT
gsjp-14087	182	51	2008	2008	NUM
gsjp-14087	182	52	,	,	PUNCT
gsjp-14087	182	53	2011	2011	NUM
gsjp-14087	182	54	;	;	PUNCT
gsjp-14087	182	55	snyder	snyder	PROPN
gsjp-14087	182	56	et	et	PROPN
gsjp-14087	182	57	al	al	PROPN
gsjp-14087	182	58	.	.	PROPN
gsjp-14087	182	59	,	,	PUNCT
gsjp-14087	182	60	2015a	2015a	NUM
gsjp-14087	182	61	,	,	PUNCT
gsjp-14087	182	62	2015b	2015b	NUM
gsjp-14087	182	63	)	)	PUNCT
gsjp-14087	182	64	.	.	PUNCT
gsjp-14087	183	1	finally	finally	ADV
gsjp-14087	183	2	,	,	PUNCT
gsjp-14087	183	3	the	the	DET
gsjp-14087	183	4	current	current	ADJ
gsjp-14087	183	5	study	study	NOUN
gsjp-14087	183	6	found	find	VERB
gsjp-14087	183	7	that	that	SCONJ
gsjp-14087	183	8	machine	machine	NOUN
gsjp-14087	183	9	learning	learning	NOUN
gsjp-14087	183	10	trained	train	VERB
gsjp-14087	183	11	on	on	ADP
gsjp-14087	183	12	dass-42	dass-42	PROPN
gsjp-14087	183	13	item	item	NOUN
gsjp-14087	183	14	response	response	NOUN
gsjp-14087	183	15	and	and	CCONJ
gsjp-14087	183	16	response	response	NOUN
gsjp-14087	183	17	time	time	NOUN
gsjp-14087	183	18	can	can	AUX
gsjp-14087	183	19	be	be	AUX
gsjp-14087	183	20	another	another	DET
gsjp-14087	183	21	approach	approach	NOUN
gsjp-14087	183	22	to	to	ADP
gsjp-14087	183	23	predicting	predict	VERB
gsjp-14087	183	24	the	the	DET
gsjp-14087	183	25	severity	severity	NOUN
gsjp-14087	183	26	of	of	ADP
gsjp-14087	183	27	emotional	emotional	ADJ
gsjp-14087	183	28	distress	distress	NOUN
gsjp-14087	183	29	,	,	PUNCT
gsjp-14087	183	30	which	which	PRON
gsjp-14087	183	31	corroborates	corroborate	VERB
gsjp-14087	183	32	previous	previous	ADJ
gsjp-14087	183	33	research	research	NOUN
gsjp-14087	183	34	(	(	PUNCT
gsjp-14087	183	35	e.g.	e.g.	ADV
gsjp-14087	183	36	,	,	PUNCT
gsjp-14087	183	37	kumar	kumar	PROPN
gsjp-14087	183	38	et	et	PROPN
gsjp-14087	183	39	al	al	PROPN
gsjp-14087	183	40	.	.	PROPN
gsjp-14087	183	41	,	,	PUNCT
gsjp-14087	183	42	2020	2020	NUM
gsjp-14087	183	43	;	;	PUNCT
gsjp-14087	184	1	priya	priya	PROPN
gsjp-14087	184	2	et	et	PROPN
gsjp-14087	184	3	al	al	PROPN
gsjp-14087	184	4	.	.	PROPN
gsjp-14087	184	5	,	,	PUNCT
gsjp-14087	184	6	2020	2020	NUM
gsjp-14087	184	7	;	;	PUNCT
gsjp-14087	184	8	srinath	srinath	PROPN
gsjp-14087	184	9	et	et	PROPN
gsjp-14087	184	10	al	al	PROPN
gsjp-14087	184	11	.	.	PROPN
gsjp-14087	184	12	,	,	PUNCT
gsjp-14087	184	13	2022	2022	NUM
gsjp-14087	184	14	)	)	PUNCT
gsjp-14087	184	15	.	.	PUNCT
gsjp-14087	185	1	while	while	SCONJ
gsjp-14087	185	2	achieving	achieve	VERB
gsjp-14087	185	3	100	100	NUM
gsjp-14087	185	4	%	%	NOUN
gsjp-14087	185	5	accuracy	accuracy	NOUN
gsjp-14087	185	6	may	may	AUX
gsjp-14087	185	7	not	not	PART
gsjp-14087	185	8	be	be	AUX
gsjp-14087	185	9	feasible	feasible	ADJ
gsjp-14087	185	10	or	or	CCONJ
gsjp-14087	185	11	necessary	necessary	ADJ
gsjp-14087	185	12	,	,	PUNCT
gsjp-14087	185	13	the	the	DET
gsjp-14087	185	14	goal	goal	NOUN
gsjp-14087	185	15	of	of	ADP
gsjp-14087	185	16	using	use	VERB
gsjp-14087	185	17	machine	machine	NOUN
gsjp-14087	185	18	learning	learning	NOUN
gsjp-14087	185	19	in	in	ADP
gsjp-14087	185	20	this	this	DET
gsjp-14087	185	21	paper	paper	NOUN
gsjp-14087	185	22	was	be	AUX
gsjp-14087	185	23	not	not	PART
gsjp-14087	185	24	necessarily	necessarily	ADV
gsjp-14087	185	25	to	to	PART
gsjp-14087	185	26	outperform	outperform	VERB
gsjp-14087	185	27	simple	simple	ADJ
gsjp-14087	185	28	arithmetic	arithmetic	ADJ
gsjp-14087	185	29	summation	summation	NOUN
gsjp-14087	185	30	,	,	PUNCT
gsjp-14087	185	31	but	but	CCONJ
gsjp-14087	185	32	rather	rather	ADV
gsjp-14087	185	33	to	to	PART
gsjp-14087	185	34	show	show	VERB
gsjp-14087	185	35	the	the	DET
gsjp-14087	185	36	potential	potential	NOUN
gsjp-14087	185	37	of	of	ADP
gsjp-14087	185	38	a	a	DET
gsjp-14087	185	39	data	data	NOUN
gsjp-14087	185	40	-	-	PUNCT
gsjp-14087	185	41	driven	drive	VERB
gsjp-14087	185	42	approach	approach	NOUN
gsjp-14087	185	43	to	to	PART
gsjp-14087	185	44	analyze	analyze	VERB
gsjp-14087	185	45	and	and	CCONJ
gsjp-14087	185	46	predict	predict	VERB
gsjp-14087	185	47	emotional	emotional	ADJ
gsjp-14087	185	48	distress	distress	NOUN
gsjp-14087	185	49	by	by	ADP
gsjp-14087	185	50	considering	consider	VERB
gsjp-14087	185	51	both	both	CCONJ
gsjp-14087	185	52	item	item	NOUN
gsjp-14087	185	53	response	response	NOUN
gsjp-14087	185	54	and	and	CCONJ
gsjp-14087	185	55	response	response	NOUN
gsjp-14087	185	56	time	time	NOUN
gsjp-14087	185	57	.	.	PUNCT
gsjp-14087	186	1	however	however	ADV
gsjp-14087	186	2	,	,	PUNCT
gsjp-14087	186	3	using	use	VERB
gsjp-14087	186	4	machine	machine	NOUN
gsjp-14087	186	5	learning	learning	NOUN
gsjp-14087	186	6	based	base	VERB
gsjp-14087	186	7	on	on	ADP
gsjp-14087	186	8	item	item	NOUN
gsjp-14087	186	9	responses	response	NOUN
gsjp-14087	186	10	and	and	CCONJ
gsjp-14087	186	11	response	response	NOUN
gsjp-14087	186	12	times	time	NOUN
gsjp-14087	186	13	can	can	AUX
gsjp-14087	186	14	offer	offer	VERB
gsjp-14087	186	15	several	several	ADJ
gsjp-14087	186	16	advantages	advantage	NOUN
gsjp-14087	186	17	over	over	ADP
gsjp-14087	186	18	the	the	DET
gsjp-14087	186	19	simple	simple	ADJ
gsjp-14087	186	20	arithmetic	arithmetic	ADJ
gsjp-14087	186	21	summation	summation	NOUN
gsjp-14087	186	22	of	of	ADP
gsjp-14087	186	23	response	response	NOUN
gsjp-14087	186	24	data	datum	NOUN
gsjp-14087	186	25	.	.	PUNCT
gsjp-14087	187	1	first	first	ADV
gsjp-14087	187	2	,	,	PUNCT
gsjp-14087	187	3	it	it	PRON
gsjp-14087	187	4	can	can	AUX
gsjp-14087	187	5	allow	allow	VERB
gsjp-14087	187	6	for	for	ADP
gsjp-14087	187	7	capturing	capture	VERB
gsjp-14087	187	8	subtle	subtle	ADJ
gsjp-14087	187	9	patterns	pattern	NOUN
gsjp-14087	187	10	that	that	PRON
gsjp-14087	187	11	may	may	AUX
gsjp-14087	187	12	not	not	PART
gsjp-14087	187	13	be	be	AUX
gsjp-14087	187	14	evident	evident	ADJ
gsjp-14087	187	15	through	through	ADP
gsjp-14087	187	16	simple	simple	ADJ
gsjp-14087	187	17	arithmetic	arithmetic	ADJ
gsjp-14087	187	18	summation	summation	NOUN
gsjp-14087	187	19	.	.	PUNCT
gsjp-14087	188	1	second	second	ADJ
gsjp-14087	188	2	,	,	PUNCT
gsjp-14087	188	3	machine	machine	NOUN
gsjp-14087	188	4	learning	learning	NOUN
gsjp-14087	188	5	techniques	technique	NOUN
gsjp-14087	188	6	can	can	AUX
gsjp-14087	188	7	handle	handle	VERB
gsjp-14087	188	8	complex	complex	ADJ
gsjp-14087	188	9	interactions	interaction	NOUN
gsjp-14087	188	10	and	and	CCONJ
gsjp-14087	188	11	dependencies	dependency	NOUN
gsjp-14087	188	12	among	among	ADP
gsjp-14087	188	13	variables	variable	NOUN
gsjp-14087	188	14	,	,	PUNCT
gsjp-14087	188	15	which	which	PRON
gsjp-14087	188	16	are	be	AUX
gsjp-14087	188	17	very	very	ADV
gsjp-14087	188	18	likely	likely	ADJ
gsjp-14087	188	19	to	to	PART
gsjp-14087	188	20	be	be	AUX
gsjp-14087	188	21	present	present	ADJ
gsjp-14087	188	22	in	in	ADP
gsjp-14087	188	23	psychological	psychological	ADJ
gsjp-14087	188	24	assessment	assessment	NOUN
gsjp-14087	188	25	data	datum	NOUN
gsjp-14087	188	26	such	such	ADJ
gsjp-14087	188	27	as	as	ADP
gsjp-14087	188	28	dass	dass	PROPN
gsjp-14087	188	29	.	.	PUNCT
gsjp-14087	189	1	furthermore	furthermore	ADV
gsjp-14087	189	2	,	,	PUNCT
gsjp-14087	189	3	these	these	DET
gsjp-14087	189	4	models	model	NOUN
gsjp-14087	189	5	have	have	VERB
gsjp-14087	189	6	the	the	DET
gsjp-14087	189	7	potential	potential	NOUN
gsjp-14087	189	8	to	to	PART
gsjp-14087	189	9	generalize	generalize	VERB
gsjp-14087	189	10	to	to	ADP
gsjp-14087	189	11	new	new	ADJ
gsjp-14087	189	12	datasets	dataset	NOUN
gsjp-14087	189	13	and	and	CCONJ
gsjp-14087	189	14	populations	population	NOUN
gsjp-14087	189	15	,	,	PUNCT
gsjp-14087	189	16	provided	provide	VERB
gsjp-14087	189	17	that	that	SCONJ
gsjp-14087	189	18	they	they	PRON
gsjp-14087	189	19	are	be	AUX
gsjp-14087	189	20	trained	train	VERB
gsjp-14087	189	21	on	on	ADP
gsjp-14087	189	22	diverse	diverse	ADJ
gsjp-14087	189	23	and	and	CCONJ
gsjp-14087	189	24	representative	representative	ADJ
gsjp-14087	189	25	samples	sample	NOUN
gsjp-14087	189	26	.	.	PUNCT
gsjp-14087	190	1	this	this	PRON
gsjp-14087	190	2	could	could	AUX
gsjp-14087	190	3	enhance	enhance	VERB
gsjp-14087	190	4	the	the	DET
gsjp-14087	190	5	applicability	applicability	NOUN
gsjp-14087	190	6	of	of	ADP
gsjp-14087	190	7	the	the	DET
gsjp-14087	190	8	predictive	predictive	ADJ
gsjp-14087	190	9	models	model	NOUN
gsjp-14087	190	10	across	across	ADP
gsjp-14087	190	11	different	different	ADJ
gsjp-14087	190	12	settings	setting	NOUN
gsjp-14087	190	13	and	and	CCONJ
gsjp-14087	190	14	populations	population	NOUN
gsjp-14087	190	15	,	,	PUNCT
gsjp-14087	190	16	ultimately	ultimately	ADV
gsjp-14087	190	17	improving	improve	VERB
gsjp-14087	190	18	their	their	PRON
gsjp-14087	190	19	utility	utility	NOUN
gsjp-14087	190	20	in	in	ADP
gsjp-14087	190	21	research	research	NOUN
gsjp-14087	190	22	contexts	context	NOUN
gsjp-14087	190	23	or	or	CCONJ
gsjp-14087	190	24	other	other	ADJ
gsjp-14087	190	25	applied	apply	VERB
gsjp-14087	190	26	settings	setting	NOUN
gsjp-14087	190	27	(	(	PUNCT
gsjp-14087	190	28	e.g.	e.g.	ADV
gsjp-14087	190	29	,	,	PUNCT
gsjp-14087	190	30	healthcare	healthcare	PROPN
gsjp-14087	190	31	)	)	PUNCT
gsjp-14087	190	32	.	.	PUNCT
gsjp-14087	191	1	implications	implication	NOUN
gsjp-14087	191	2	and	and	CCONJ
gsjp-14087	191	3	recommendations	recommendation	NOUN
gsjp-14087	191	4	psychological	psychological	ADJ
gsjp-14087	191	5	measurement	measurement	NOUN
gsjp-14087	191	6	is	be	AUX
gsjp-14087	191	7	in	in	ADP
gsjp-14087	191	8	a	a	DET
gsjp-14087	191	9	period	period	NOUN
gsjp-14087	191	10	of	of	ADP
gsjp-14087	191	11	advancement	advancement	NOUN
gsjp-14087	191	12	,	,	PUNCT
gsjp-14087	191	13	with	with	ADP
gsjp-14087	191	14	computerized	computerized	ADJ
gsjp-14087	191	15	testing	testing	NOUN
gsjp-14087	191	16	affording	afford	VERB
gsjp-14087	191	17	researchers	researcher	NOUN
gsjp-14087	191	18	new	new	ADJ
gsjp-14087	191	19	ways	way	NOUN
gsjp-14087	191	20	to	to	PART
gsjp-14087	191	21	collect	collect	VERB
gsjp-14087	191	22	and	and	CCONJ
gsjp-14087	191	23	interpret	interpret	VERB
gsjp-14087	191	24	data	datum	NOUN
gsjp-14087	191	25	.	.	PUNCT
gsjp-14087	192	1	item	item	NOUN
gsjp-14087	192	2	response	response	NOUN
gsjp-14087	192	3	time	time	NOUN
gsjp-14087	192	4	can	can	AUX
gsjp-14087	192	5	be	be	AUX
gsjp-14087	192	6	used	use	VERB
gsjp-14087	192	7	to	to	PART
gsjp-14087	192	8	identify	identify	VERB
gsjp-14087	192	9	careless	careless	ADJ
gsjp-14087	192	10	responding	responding	NOUN
gsjp-14087	192	11	,	,	PUNCT
gsjp-14087	192	12	and	and	CCONJ
gsjp-14087	192	13	it	it	PRON
gsjp-14087	192	14	has	have	VERB
gsjp-14087	192	15	the	the	DET
gsjp-14087	192	16	potential	potential	NOUN
gsjp-14087	192	17	to	to	PART
gsjp-14087	192	18	untangle	untangle	VERB
gsjp-14087	192	19	the	the	DET
gsjp-14087	192	20	psychological	psychological	ADJ
gsjp-14087	192	21	mechanisms	mechanism	NOUN
gsjp-14087	192	22	behind	behind	ADP
gsjp-14087	192	23	carelessness	carelessness	NOUN
gsjp-14087	192	24	,	,	PUNCT
gsjp-14087	192	25	particularly	particularly	ADV
gsjp-14087	192	26	in	in	ADP
gsjp-14087	192	27	those	those	PRON
gsjp-14087	192	28	experiencing	experience	VERB
gsjp-14087	192	29	emotional	emotional	ADJ
gsjp-14087	192	30	distress	distress	NOUN
gsjp-14087	192	31	.	.	PUNCT
gsjp-14087	193	1	the	the	DET
gsjp-14087	193	2	relationship	relationship	NOUN
gsjp-14087	193	3	between	between	ADP
gsjp-14087	193	4	careless	careless	ADJ
gsjp-14087	193	5	responding	respond	VERB
gsjp-14087	193	6	and	and	CCONJ
gsjp-14087	193	7	emotional	emotional	ADJ
gsjp-14087	193	8	distress	distress	NOUN
gsjp-14087	193	9	,	,	PUNCT
gsjp-14087	193	10	as	as	ADV
gsjp-14087	193	11	well	well	ADV
gsjp-14087	193	12	as	as	ADP
gsjp-14087	193	13	the	the	DET
gsjp-14087	193	14	prediction	prediction	NOUN
gsjp-14087	193	15	of	of	ADP
gsjp-14087	193	16	emotional	emotional	ADJ
gsjp-14087	193	17	states	state	NOUN
gsjp-14087	193	18	considering	consider	VERB
gsjp-14087	193	19	both	both	CCONJ
gsjp-14087	193	20	item	item	NOUN
gsjp-14087	193	21	response	response	NOUN
gsjp-14087	193	22	and	and	CCONJ
gsjp-14087	193	23	response	response	NOUN
gsjp-14087	193	24	time	time	NOUN
gsjp-14087	193	25	,	,	PUNCT
gsjp-14087	193	26	can	can	AUX
gsjp-14087	193	27	have	have	VERB
gsjp-14087	193	28	important	important	ADJ
gsjp-14087	193	29	implications	implication	NOUN
gsjp-14087	193	30	for	for	ADP
gsjp-14087	193	31	cognitive	cognitive	ADJ
gsjp-14087	193	32	psychology	psychology	NOUN
gsjp-14087	193	33	researchers	researcher	NOUN
gsjp-14087	193	34	.	.	PUNCT
gsjp-14087	194	1	thus	thus	ADV
gsjp-14087	194	2	,	,	PUNCT
gsjp-14087	194	3	the	the	DET
gsjp-14087	194	4	current	current	ADJ
gsjp-14087	194	5	study	study	NOUN
gsjp-14087	194	6	has	have	VERB
gsjp-14087	194	7	several	several	ADJ
gsjp-14087	194	8	research	research	NOUN
gsjp-14087	194	9	,	,	PUNCT
gsjp-14087	194	10	psychometric	psychometric	NOUN
gsjp-14087	194	11	,	,	PUNCT
gsjp-14087	194	12	and	and	CCONJ
gsjp-14087	194	13	applied	apply	VERB
gsjp-14087	194	14	implications	implication	NOUN
gsjp-14087	194	15	and	and	CCONJ
gsjp-14087	194	16	future	future	ADJ
gsjp-14087	194	17	directions	direction	NOUN
gsjp-14087	194	18	for	for	ADP
gsjp-14087	194	19	consideration	consideration	NOUN
gsjp-14087	194	20	.	.	PUNCT
gsjp-14087	195	1	first	first	ADV
gsjp-14087	195	2	,	,	PUNCT
gsjp-14087	195	3	researchers	researcher	NOUN
gsjp-14087	195	4	who	who	PRON
gsjp-14087	195	5	use	use	VERB
gsjp-14087	195	6	online	online	ADJ
gsjp-14087	195	7	self	self	NOUN
gsjp-14087	195	8	-	-	PUNCT
gsjp-14087	195	9	report	report	NOUN
gsjp-14087	195	10	surveys	survey	NOUN
gsjp-14087	195	11	can	can	AUX
gsjp-14087	195	12	use	use	VERB
gsjp-14087	195	13	the	the	DET
gsjp-14087	195	14	normative	normative	ADJ
gsjp-14087	195	15	threshold	threshold	NOUN
gsjp-14087	195	16	method	method	NOUN
gsjp-14087	195	17	to	to	PART
gsjp-14087	195	18	flag	flag	VERB
gsjp-14087	195	19	careless	careless	ADJ
gsjp-14087	195	20	responders	responder	NOUN
gsjp-14087	195	21	,	,	PUNCT
gsjp-14087	195	22	which	which	PRON
gsjp-14087	195	23	allows	allow	VERB
gsjp-14087	195	24	the	the	DET
gsjp-14087	195	25	researchers	researcher	NOUN
gsjp-14087	195	26	to	to	PART
gsjp-14087	195	27	identify	identify	VERB
gsjp-14087	195	28	if	if	SCONJ
gsjp-14087	195	29	these	these	DET
gsjp-14087	195	30	responders	responder	NOUN
gsjp-14087	195	31	and	and	CCONJ
gsjp-14087	195	32	their	their	PRON
gsjp-14087	195	33	responses	response	NOUN
gsjp-14087	195	34	are	be	AUX
gsjp-14087	195	35	influencing	influence	VERB
gsjp-14087	195	36	the	the	DET
gsjp-14087	195	37	data	datum	NOUN
gsjp-14087	195	38	and	and	CCONJ
gsjp-14087	195	39	obscuring	obscure	VERB
gsjp-14087	195	40	important	important	ADJ
gsjp-14087	195	41	findings	finding	NOUN
gsjp-14087	195	42	.	.	PUNCT
gsjp-14087	196	1	this	this	PRON
gsjp-14087	196	2	may	may	AUX
gsjp-14087	196	3	be	be	AUX
gsjp-14087	196	4	of	of	ADP
gsjp-14087	196	5	particular	particular	ADJ
gsjp-14087	196	6	response	response	NOUN
gsjp-14087	196	7	time	time	NOUN
gsjp-14087	196	8	to	to	PART
gsjp-14087	196	9	identify	identify	VERB
gsjp-14087	196	10	careless	careless	ADJ
gsjp-14087	196	11	responders	responder	NOUN
gsjp-14087	196	12	79	79	NUM
gsjp-14087	196	13	zentner	zentner	NOUN
gsjp-14087	196	14	&	&	CCONJ
gsjp-14087	196	15	yildirim	yildirim	PROPN
gsjp-14087	196	16	-	-	PUNCT
gsjp-14087	196	17	erbasli	erbasli	NOUN
gsjp-14087	196	18	importance	importance	NOUN
gsjp-14087	196	19	among	among	ADP
gsjp-14087	196	20	research	research	NOUN
gsjp-14087	196	21	pools	pool	NOUN
gsjp-14087	196	22	in	in	ADP
gsjp-14087	196	23	which	which	PRON
gsjp-14087	196	24	the	the	DET
gsjp-14087	196	25	participants	participant	NOUN
gsjp-14087	196	26	are	be	AUX
gsjp-14087	196	27	receiving	receive	VERB
gsjp-14087	196	28	incentives	incentive	NOUN
gsjp-14087	196	29	to	to	PART
gsjp-14087	196	30	complete	complete	VERB
gsjp-14087	196	31	a	a	DET
gsjp-14087	196	32	survey	survey	NOUN
gsjp-14087	196	33	.	.	PUNCT
gsjp-14087	197	1	in	in	ADP
gsjp-14087	197	2	such	such	ADJ
gsjp-14087	197	3	cases	case	NOUN
gsjp-14087	197	4	,	,	PUNCT
gsjp-14087	197	5	participants	participant	NOUN
gsjp-14087	197	6	may	may	AUX
gsjp-14087	197	7	be	be	AUX
gsjp-14087	197	8	motivated	motivate	VERB
gsjp-14087	197	9	to	to	PART
gsjp-14087	197	10	finish	finish	VERB
gsjp-14087	197	11	the	the	DET
gsjp-14087	197	12	survey	survey	NOUN
gsjp-14087	197	13	as	as	ADV
gsjp-14087	197	14	quickly	quickly	ADV
gsjp-14087	197	15	as	as	ADP
gsjp-14087	197	16	possible	possible	ADJ
gsjp-14087	197	17	to	to	PART
gsjp-14087	197	18	earn	earn	VERB
gsjp-14087	197	19	the	the	DET
gsjp-14087	197	20	incentive	incentive	NOUN
gsjp-14087	197	21	,	,	PUNCT
gsjp-14087	197	22	leading	lead	VERB
gsjp-14087	197	23	to	to	ADP
gsjp-14087	197	24	careless	careless	ADJ
gsjp-14087	197	25	responses	response	NOUN
gsjp-14087	197	26	.	.	PUNCT
gsjp-14087	198	1	this	this	PRON
gsjp-14087	198	2	can	can	AUX
gsjp-14087	198	3	result	result	VERB
gsjp-14087	198	4	in	in	ADP
gsjp-14087	198	5	low	low	ADJ
gsjp-14087	198	6	-	-	PUNCT
gsjp-14087	198	7	quality	quality	NOUN
gsjp-14087	198	8	data	datum	NOUN
gsjp-14087	198	9	and	and	CCONJ
gsjp-14087	198	10	invalid	invalid	ADJ
gsjp-14087	198	11	conclusions	conclusion	NOUN
gsjp-14087	198	12	drawn	draw	VERB
gsjp-14087	198	13	from	from	ADP
gsjp-14087	198	14	the	the	DET
gsjp-14087	198	15	survey	survey	NOUN
gsjp-14087	198	16	results	result	NOUN
gsjp-14087	198	17	.	.	PUNCT
gsjp-14087	199	1	if	if	SCONJ
gsjp-14087	199	2	researchers	researcher	NOUN
gsjp-14087	199	3	are	be	AUX
gsjp-14087	199	4	specifically	specifically	ADV
gsjp-14087	199	5	using	use	VERB
gsjp-14087	199	6	measures	measure	NOUN
gsjp-14087	199	7	of	of	ADP
gsjp-14087	199	8	emotional	emotional	ADJ
gsjp-14087	199	9	distress	distress	NOUN
gsjp-14087	199	10	,	,	PUNCT
gsjp-14087	199	11	such	such	ADJ
gsjp-14087	199	12	as	as	ADP
gsjp-14087	199	13	the	the	DET
gsjp-14087	199	14	dass-42	dass-42	PROPN
gsjp-14087	199	15	,	,	PUNCT
gsjp-14087	199	16	response	response	NOUN
gsjp-14087	199	17	time	time	NOUN
gsjp-14087	199	18	may	may	AUX
gsjp-14087	199	19	help	help	VERB
gsjp-14087	199	20	to	to	PART
gsjp-14087	199	21	identify	identify	VERB
gsjp-14087	199	22	those	those	PRON
gsjp-14087	199	23	who	who	PRON
gsjp-14087	199	24	have	have	VERB
gsjp-14087	199	25	higher	high	ADJ
gsjp-14087	199	26	scores	score	NOUN
gsjp-14087	199	27	due	due	ADP
gsjp-14087	199	28	to	to	ADP
gsjp-14087	199	29	careless	careless	ADJ
gsjp-14087	199	30	responding	respond	VERB
gsjp-14087	199	31	versus	versus	ADP
gsjp-14087	199	32	those	those	PRON
gsjp-14087	199	33	who	who	PRON
gsjp-14087	199	34	are	be	AUX
gsjp-14087	199	35	genuinely	genuinely	ADV
gsjp-14087	199	36	emotionally	emotionally	ADV
gsjp-14087	199	37	distressed	distressed	ADJ
gsjp-14087	199	38	.	.	PUNCT
gsjp-14087	200	1	second	second	ADV
gsjp-14087	200	2	,	,	PUNCT
gsjp-14087	200	3	the	the	DET
gsjp-14087	200	4	use	use	NOUN
gsjp-14087	200	5	of	of	ADP
gsjp-14087	200	6	response	response	NOUN
gsjp-14087	200	7	time	time	NOUN
gsjp-14087	200	8	methods	method	NOUN
gsjp-14087	200	9	has	have	VERB
gsjp-14087	200	10	clinical	clinical	ADJ
gsjp-14087	200	11	utility	utility	NOUN
gsjp-14087	200	12	in	in	ADP
gsjp-14087	200	13	assessing	assess	VERB
gsjp-14087	200	14	the	the	DET
gsjp-14087	200	15	profile	profile	ADJ
gsjp-14087	200	16	validity	validity	NOUN
gsjp-14087	200	17	of	of	ADP
gsjp-14087	200	18	individuals	individual	NOUN
gsjp-14087	200	19	who	who	PRON
gsjp-14087	200	20	may	may	AUX
gsjp-14087	200	21	be	be	AUX
gsjp-14087	200	22	carelessly	carelessly	ADV
gsjp-14087	200	23	responding	respond	VERB
gsjp-14087	200	24	due	due	ADP
gsjp-14087	200	25	to	to	ADP
gsjp-14087	200	26	their	their	PRON
gsjp-14087	200	27	emotional	emotional	ADJ
gsjp-14087	200	28	distress	distress	NOUN
gsjp-14087	200	29	.	.	PUNCT
gsjp-14087	201	1	many	many	ADJ
gsjp-14087	201	2	commonly	commonly	ADV
gsjp-14087	201	3	used	use	VERB
gsjp-14087	201	4	psychological	psychological	ADJ
gsjp-14087	201	5	tests	test	NOUN
gsjp-14087	201	6	,	,	PUNCT
gsjp-14087	201	7	including	include	VERB
gsjp-14087	201	8	the	the	DET
gsjp-14087	201	9	dass-42	dass-42	PROPN
gsjp-14087	201	10	,	,	PUNCT
gsjp-14087	201	11	do	do	AUX
gsjp-14087	201	12	not	not	PART
gsjp-14087	201	13	include	include	VERB
gsjp-14087	201	14	profile	profile	NOUN
gsjp-14087	201	15	validity	validity	NOUN
gsjp-14087	201	16	measures	measure	NOUN
gsjp-14087	201	17	.	.	PUNCT
gsjp-14087	202	1	one	one	NUM
gsjp-14087	202	2	reason	reason	NOUN
gsjp-14087	202	3	for	for	ADP
gsjp-14087	202	4	this	this	PRON
gsjp-14087	202	5	is	be	AUX
gsjp-14087	202	6	that	that	SCONJ
gsjp-14087	202	7	additional	additional	ADJ
gsjp-14087	202	8	profile	profile	NOUN
gsjp-14087	202	9	validity	validity	NOUN
gsjp-14087	202	10	scales	scale	NOUN
gsjp-14087	202	11	,	,	PUNCT
gsjp-14087	202	12	such	such	ADJ
gsjp-14087	202	13	as	as	ADP
gsjp-14087	202	14	positive	positive	ADJ
gsjp-14087	202	15	impression	impression	NOUN
gsjp-14087	202	16	management	management	NOUN
gsjp-14087	202	17	or	or	CCONJ
gsjp-14087	202	18	defensiveness	defensiveness	NOUN
gsjp-14087	202	19	,	,	PUNCT
gsjp-14087	202	20	add	add	VERB
gsjp-14087	202	21	items	item	NOUN
gsjp-14087	202	22	to	to	ADP
gsjp-14087	202	23	measures	measure	NOUN
gsjp-14087	202	24	that	that	PRON
gsjp-14087	202	25	are	be	AUX
gsjp-14087	202	26	otherwise	otherwise	ADV
gsjp-14087	202	27	constructed	construct	VERB
gsjp-14087	202	28	to	to	PART
gsjp-14087	202	29	be	be	AUX
gsjp-14087	202	30	as	as	ADV
gsjp-14087	202	31	short	short	ADJ
gsjp-14087	202	32	and	and	CCONJ
gsjp-14087	202	33	efficient	efficient	ADJ
gsjp-14087	202	34	as	as	ADP
gsjp-14087	202	35	possible	possible	ADJ
gsjp-14087	202	36	.	.	PUNCT
gsjp-14087	203	1	using	use	VERB
gsjp-14087	203	2	response	response	NOUN
gsjp-14087	203	3	time	time	NOUN
gsjp-14087	203	4	to	to	PART
gsjp-14087	203	5	assess	assess	VERB
gsjp-14087	203	6	profile	profile	NOUN
gsjp-14087	203	7	validity	validity	NOUN
gsjp-14087	203	8	adds	add	VERB
gsjp-14087	203	9	no	no	DET
gsjp-14087	203	10	additional	additional	ADJ
gsjp-14087	203	11	items	item	NOUN
gsjp-14087	203	12	to	to	ADP
gsjp-14087	203	13	these	these	DET
gsjp-14087	203	14	measures	measure	NOUN
gsjp-14087	203	15	.	.	PUNCT
gsjp-14087	204	1	similar	similar	ADJ
gsjp-14087	204	2	to	to	PART
gsjp-14087	204	3	profile	profile	VERB
gsjp-14087	204	4	validity	validity	NOUN
gsjp-14087	204	5	measures	measure	NOUN
gsjp-14087	204	6	,	,	PUNCT
gsjp-14087	204	7	response	response	NOUN
gsjp-14087	204	8	time	time	NOUN
gsjp-14087	204	9	may	may	AUX
gsjp-14087	204	10	also	also	ADV
gsjp-14087	204	11	provide	provide	VERB
gsjp-14087	204	12	clinically	clinically	ADV
gsjp-14087	204	13	relevant	relevant	ADJ
gsjp-14087	204	14	information	information	NOUN
gsjp-14087	204	15	to	to	PART
gsjp-14087	204	16	improve	improve	VERB
gsjp-14087	204	17	our	our	PRON
gsjp-14087	204	18	understanding	understanding	NOUN
gsjp-14087	204	19	of	of	ADP
gsjp-14087	204	20	the	the	DET
gsjp-14087	204	21	cognitive	cognitive	ADJ
gsjp-14087	204	22	impairments	impairment	NOUN
gsjp-14087	204	23	that	that	PRON
gsjp-14087	204	24	accompany	accompany	VERB
gsjp-14087	204	25	emotional	emotional	ADJ
gsjp-14087	204	26	states	state	NOUN
gsjp-14087	204	27	.	.	PUNCT
gsjp-14087	205	1	for	for	ADP
gsjp-14087	205	2	example	example	NOUN
gsjp-14087	205	3	,	,	PUNCT
gsjp-14087	205	4	item	item	NOUN
gsjp-14087	205	5	response	response	NOUN
gsjp-14087	205	6	time	time	NOUN
gsjp-14087	205	7	may	may	AUX
gsjp-14087	205	8	help	help	VERB
gsjp-14087	205	9	ascertain	ascertain	VERB
gsjp-14087	205	10	whether	whether	SCONJ
gsjp-14087	205	11	an	an	DET
gsjp-14087	205	12	emotionally	emotionally	ADV
gsjp-14087	205	13	distressed	distressed	ADJ
gsjp-14087	205	14	respondent	respondent	NOUN
gsjp-14087	205	15	tends	tend	VERB
gsjp-14087	205	16	to	to	PART
gsjp-14087	205	17	respond	respond	VERB
gsjp-14087	205	18	carelessly	carelessly	ADV
gsjp-14087	205	19	to	to	PART
gsjp-14087	205	20	avoid	avoid	VERB
gsjp-14087	205	21	mood	mood	NOUN
gsjp-14087	205	22	-	-	PUNCT
gsjp-14087	205	23	congruent	congruent	ADJ
gsjp-14087	205	24	information	information	NOUN
gsjp-14087	205	25	and	and	CCONJ
gsjp-14087	205	26	when	when	SCONJ
gsjp-14087	205	27	they	they	PRON
gsjp-14087	205	28	are	be	AUX
gsjp-14087	205	29	biased	bias	VERB
gsjp-14087	205	30	to	to	PART
gsjp-14087	205	31	attend	attend	VERB
gsjp-14087	205	32	more	more	ADV
gsjp-14087	205	33	carefully	carefully	ADV
gsjp-14087	205	34	to	to	ADP
gsjp-14087	205	35	mood	mood	NOUN
gsjp-14087	205	36	-	-	PUNCT
gsjp-14087	205	37	congruent	congruent	ADJ
gsjp-14087	205	38	information	information	NOUN
gsjp-14087	205	39	(	(	PUNCT
gsjp-14087	205	40	ashley	ashley	PROPN
gsjp-14087	205	41	&	&	CCONJ
gsjp-14087	205	42	shaughnessy	shaughnessy	PROPN
gsjp-14087	205	43	,	,	PUNCT
gsjp-14087	205	44	2021	2021	NUM
gsjp-14087	205	45	;	;	PUNCT
gsjp-14087	205	46	hubbard	hubbard	PROPN
gsjp-14087	205	47	et	et	PROPN
gsjp-14087	205	48	al	al	PROPN
gsjp-14087	205	49	.	.	PROPN
gsjp-14087	205	50	,	,	PUNCT
gsjp-14087	205	51	2016	2016	NUM
gsjp-14087	205	52	)	)	PUNCT
gsjp-14087	205	53	.	.	PUNCT
gsjp-14087	206	1	this	this	PRON
gsjp-14087	206	2	is	be	AUX
gsjp-14087	206	3	valuable	valuable	ADJ
gsjp-14087	206	4	information	information	NOUN
gsjp-14087	206	5	for	for	ADP
gsjp-14087	206	6	treatment	treatment	NOUN
gsjp-14087	206	7	planning	planning	NOUN
gsjp-14087	206	8	because	because	SCONJ
gsjp-14087	206	9	useful	useful	ADJ
gsjp-14087	206	10	interventions	intervention	NOUN
gsjp-14087	206	11	may	may	AUX
gsjp-14087	206	12	vary	vary	VERB
gsjp-14087	206	13	based	base	VERB
gsjp-14087	206	14	on	on	ADP
gsjp-14087	206	15	whether	whether	SCONJ
gsjp-14087	206	16	a	a	DET
gsjp-14087	206	17	client	client	NOUN
gsjp-14087	206	18	over	over	ADP
gsjp-14087	206	19	-	-	PUNCT
gsjp-14087	206	20	attends	attend	NOUN
gsjp-14087	206	21	to	to	ADP
gsjp-14087	206	22	negative	negative	ADJ
gsjp-14087	206	23	information	information	NOUN
gsjp-14087	206	24	(	(	PUNCT
gsjp-14087	206	25	i.e.	i.e.	X
gsjp-14087	206	26	,	,	PUNCT
gsjp-14087	206	27	ruminates	ruminate	VERB
gsjp-14087	206	28	)	)	PUNCT
gsjp-14087	206	29	or	or	CCONJ
gsjp-14087	206	30	employs	employ	VERB
gsjp-14087	206	31	avoidance	avoidance	NOUN
gsjp-14087	206	32	behavior	behavior	NOUN
gsjp-14087	206	33	.	.	PUNCT
gsjp-14087	207	1	thus	thus	ADV
gsjp-14087	207	2	,	,	PUNCT
gsjp-14087	207	3	in	in	ADP
gsjp-14087	207	4	terms	term	NOUN
gsjp-14087	207	5	of	of	ADP
gsjp-14087	207	6	the	the	DET
gsjp-14087	207	7	first	first	ADJ
gsjp-14087	207	8	research	research	NOUN
gsjp-14087	207	9	question	question	NOUN
gsjp-14087	207	10	addressed	address	VERB
gsjp-14087	207	11	in	in	ADP
gsjp-14087	207	12	this	this	DET
gsjp-14087	207	13	study	study	NOUN
gsjp-14087	207	14	,	,	PUNCT
gsjp-14087	207	15	understanding	understand	VERB
gsjp-14087	207	16	the	the	DET
gsjp-14087	207	17	relationship	relationship	NOUN
gsjp-14087	207	18	between	between	ADP
gsjp-14087	207	19	careless	careless	ADJ
gsjp-14087	207	20	responding	respond	VERB
gsjp-14087	207	21	and	and	CCONJ
gsjp-14087	207	22	emotional	emotional	ADJ
gsjp-14087	207	23	distress	distress	NOUN
gsjp-14087	207	24	can	can	AUX
gsjp-14087	207	25	provide	provide	VERB
gsjp-14087	207	26	insight	insight	NOUN
gsjp-14087	207	27	into	into	ADP
gsjp-14087	207	28	the	the	DET
gsjp-14087	207	29	cognitive	cognitive	ADJ
gsjp-14087	207	30	processes	process	NOUN
gsjp-14087	207	31	underlying	underlie	VERB
gsjp-14087	207	32	emotional	emotional	ADJ
gsjp-14087	207	33	states	state	NOUN
gsjp-14087	207	34	.	.	PUNCT
gsjp-14087	208	1	regarding	regard	VERB
gsjp-14087	208	2	the	the	DET
gsjp-14087	208	3	second	second	ADJ
gsjp-14087	208	4	research	research	NOUN
gsjp-14087	208	5	question	question	NOUN
gsjp-14087	208	6	,	,	PUNCT
gsjp-14087	208	7	machine	machine	NOUN
gsjp-14087	208	8	learning	learning	NOUN
gsjp-14087	208	9	models	model	NOUN
gsjp-14087	208	10	can	can	AUX
gsjp-14087	208	11	be	be	AUX
gsjp-14087	208	12	utilized	utilize	VERB
gsjp-14087	208	13	to	to	PART
gsjp-14087	208	14	analyze	analyze	VERB
gsjp-14087	208	15	hidden	hidden	ADJ
gsjp-14087	208	16	patterns	pattern	NOUN
gsjp-14087	208	17	in	in	ADP
gsjp-14087	208	18	both	both	DET
gsjp-14087	208	19	item	item	NOUN
gsjp-14087	208	20	response	response	NOUN
gsjp-14087	208	21	and	and	CCONJ
gsjp-14087	208	22	response	response	NOUN
gsjp-14087	208	23	time	time	NOUN
gsjp-14087	208	24	for	for	ADP
gsjp-14087	208	25	predicting	predict	VERB
gsjp-14087	208	26	self	self	NOUN
gsjp-14087	208	27	-	-	PUNCT
gsjp-14087	208	28	reported	report	VERB
gsjp-14087	208	29	measures	measure	NOUN
gsjp-14087	208	30	of	of	ADP
gsjp-14087	208	31	emotional	emotional	ADJ
gsjp-14087	208	32	states	state	NOUN
gsjp-14087	208	33	.	.	PUNCT
gsjp-14087	209	1	considering	consider	VERB
gsjp-14087	209	2	the	the	DET
gsjp-14087	209	3	current	current	ADJ
gsjp-14087	209	4	research	research	NOUN
gsjp-14087	209	5	that	that	PRON
gsjp-14087	209	6	has	have	AUX
gsjp-14087	209	7	demonstrated	demonstrate	VERB
gsjp-14087	209	8	an	an	DET
gsjp-14087	209	9	association	association	NOUN
gsjp-14087	209	10	between	between	ADP
gsjp-14087	209	11	emotional	emotional	ADJ
gsjp-14087	209	12	distress	distress	NOUN
gsjp-14087	209	13	and	and	CCONJ
gsjp-14087	209	14	response	response	NOUN
gsjp-14087	209	15	time	time	NOUN
gsjp-14087	209	16	,	,	PUNCT
gsjp-14087	209	17	it	it	PRON
gsjp-14087	209	18	is	be	AUX
gsjp-14087	209	19	essential	essential	ADJ
gsjp-14087	209	20	to	to	PART
gsjp-14087	209	21	incorporate	incorporate	VERB
gsjp-14087	209	22	response	response	NOUN
gsjp-14087	209	23	time	time	NOUN
gsjp-14087	209	24	into	into	ADP
gsjp-14087	209	25	the	the	DET
gsjp-14087	209	26	assessment	assessment	NOUN
gsjp-14087	209	27	of	of	ADP
gsjp-14087	209	28	emotional	emotional	ADJ
gsjp-14087	209	29	distress	distress	NOUN
gsjp-14087	209	30	severity	severity	NOUN
gsjp-14087	209	31	rather	rather	ADV
gsjp-14087	209	32	than	than	ADP
gsjp-14087	209	33	relying	rely	VERB
gsjp-14087	209	34	solely	solely	ADV
gsjp-14087	209	35	on	on	ADP
gsjp-14087	209	36	the	the	DET
gsjp-14087	209	37	arithmetic	arithmetic	ADJ
gsjp-14087	209	38	summation	summation	NOUN
gsjp-14087	209	39	of	of	ADP
gsjp-14087	209	40	responses	response	NOUN
gsjp-14087	209	41	.	.	PUNCT
gsjp-14087	210	1	by	by	ADP
gsjp-14087	210	2	doing	do	VERB
gsjp-14087	210	3	so	so	ADV
gsjp-14087	210	4	,	,	PUNCT
gsjp-14087	210	5	we	we	PRON
gsjp-14087	210	6	can	can	AUX
gsjp-14087	210	7	achieve	achieve	VERB
gsjp-14087	210	8	a	a	DET
gsjp-14087	210	9	better	well	ADJ
gsjp-14087	210	10	understanding	understanding	NOUN
gsjp-14087	210	11	of	of	ADP
gsjp-14087	210	12	emotional	emotional	ADJ
gsjp-14087	210	13	distress	distress	NOUN
gsjp-14087	210	14	.	.	PUNCT
gsjp-14087	211	1	machine	machine	NOUN
gsjp-14087	211	2	learning	learning	NOUN
gsjp-14087	211	3	models	model	NOUN
gsjp-14087	211	4	that	that	PRON
gsjp-14087	211	5	incorporate	incorporate	VERB
gsjp-14087	211	6	behavioral	behavioral	ADJ
gsjp-14087	211	7	data	datum	NOUN
gsjp-14087	211	8	,	,	PUNCT
gsjp-14087	211	9	such	such	ADJ
gsjp-14087	211	10	as	as	ADP
gsjp-14087	211	11	item	item	NOUN
gsjp-14087	211	12	response	response	NOUN
gsjp-14087	211	13	time	time	NOUN
gsjp-14087	211	14	,	,	PUNCT
gsjp-14087	211	15	also	also	ADV
gsjp-14087	211	16	have	have	VERB
gsjp-14087	211	17	practical	practical	ADJ
gsjp-14087	211	18	applications	application	NOUN
gsjp-14087	211	19	for	for	ADP
gsjp-14087	211	20	adaptive	adaptive	ADJ
gsjp-14087	211	21	testing	testing	NOUN
gsjp-14087	211	22	.	.	PUNCT
gsjp-14087	212	1	wise	wise	ADJ
gsjp-14087	212	2	(	(	PUNCT
gsjp-14087	212	3	2020	2020	NUM
gsjp-14087	212	4	)	)	PUNCT
gsjp-14087	212	5	suggested	suggest	VERB
gsjp-14087	212	6	that	that	SCONJ
gsjp-14087	212	7	the	the	DET
gsjp-14087	212	8	inclusion	inclusion	NOUN
gsjp-14087	212	9	of	of	ADP
gsjp-14087	212	10	item	item	NOUN
gsjp-14087	212	11	response	response	NOUN
gsjp-14087	212	12	data	datum	NOUN
gsjp-14087	212	13	in	in	ADP
gsjp-14087	212	14	adaptive	adaptive	ADJ
gsjp-14087	212	15	testing	testing	NOUN
gsjp-14087	212	16	allows	allow	VERB
gsjp-14087	212	17	test	test	NOUN
gsjp-14087	212	18	developers	developer	NOUN
gsjp-14087	212	19	to	to	PART
gsjp-14087	212	20	provide	provide	VERB
gsjp-14087	212	21	a	a	DET
gsjp-14087	212	22	measure	measure	NOUN
gsjp-14087	212	23	of	of	ADP
gsjp-14087	212	24	attention	attention	NOUN
gsjp-14087	212	25	to	to	PART
gsjp-14087	212	26	be	be	AUX
gsjp-14087	212	27	considered	consider	VERB
gsjp-14087	212	28	in	in	ADP
gsjp-14087	212	29	profile	profile	NOUN
gsjp-14087	212	30	validity	validity	NOUN
gsjp-14087	212	31	.	.	PUNCT
gsjp-14087	213	1	with	with	ADP
gsjp-14087	213	2	real	real	ADJ
gsjp-14087	213	3	-	-	PUNCT
gsjp-14087	213	4	time	time	NOUN
gsjp-14087	213	5	monitoring	monitoring	NOUN
gsjp-14087	213	6	of	of	ADP
gsjp-14087	213	7	attention	attention	NOUN
gsjp-14087	213	8	using	use	VERB
gsjp-14087	213	9	item	item	NOUN
gsjp-14087	213	10	response	response	NOUN
gsjp-14087	213	11	data	datum	NOUN
gsjp-14087	213	12	,	,	PUNCT
gsjp-14087	213	13	developers	developer	NOUN
gsjp-14087	213	14	can	can	AUX
gsjp-14087	213	15	intervene	intervene	VERB
gsjp-14087	213	16	to	to	PART
gsjp-14087	213	17	re	re	VERB
gsjp-14087	213	18	-	-	VERB
gsjp-14087	213	19	engage	engage	VERB
gsjp-14087	213	20	a	a	DET
gsjp-14087	213	21	respondent	respondent	NOUN
gsjp-14087	213	22	who	who	PRON
gsjp-14087	213	23	is	be	AUX
gsjp-14087	213	24	exhibiting	exhibit	VERB
gsjp-14087	213	25	careless	careless	ADJ
gsjp-14087	213	26	responding	respond	VERB
gsjp-14087	213	27	.	.	PUNCT
gsjp-14087	214	1	for	for	ADP
gsjp-14087	214	2	example	example	NOUN
gsjp-14087	214	3	,	,	PUNCT
gsjp-14087	214	4	if	if	SCONJ
gsjp-14087	214	5	a	a	DET
gsjp-14087	214	6	respondent	respondent	NOUN
gsjp-14087	214	7	has	have	VERB
gsjp-14087	214	8	several	several	ADJ
gsjp-14087	214	9	consecutive	consecutive	ADJ
gsjp-14087	214	10	careless	careless	ADJ
gsjp-14087	214	11	responses	response	NOUN
gsjp-14087	214	12	,	,	PUNCT
gsjp-14087	214	13	a	a	DET
gsjp-14087	214	14	prompt	prompt	NOUN
gsjp-14087	214	15	may	may	AUX
gsjp-14087	214	16	appear	appear	VERB
gsjp-14087	214	17	to	to	PART
gsjp-14087	214	18	remind	remind	VERB
gsjp-14087	214	19	them	they	PRON
gsjp-14087	214	20	to	to	PART
gsjp-14087	214	21	carefully	carefully	ADV
gsjp-14087	214	22	attend	attend	VERB
gsjp-14087	214	23	to	to	ADP
gsjp-14087	214	24	each	each	DET
gsjp-14087	214	25	item	item	NOUN
gsjp-14087	214	26	.	.	PUNCT
gsjp-14087	215	1	in	in	ADP
gsjp-14087	215	2	educational	educational	ADJ
gsjp-14087	215	3	contexts	contexts	NOUN
gsjp-14087	215	4	,	,	PUNCT
gsjp-14087	215	5	response	response	NOUN
gsjp-14087	215	6	time	time	NOUN
gsjp-14087	215	7	has	have	AUX
gsjp-14087	215	8	been	be	AUX
gsjp-14087	215	9	included	include	VERB
gsjp-14087	215	10	in	in	ADP
gsjp-14087	215	11	adaptive	adaptive	ADJ
gsjp-14087	215	12	testing	testing	NOUN
gsjp-14087	215	13	models	model	NOUN
gsjp-14087	215	14	,	,	PUNCT
gsjp-14087	215	15	but	but	CCONJ
gsjp-14087	215	16	behavioral	behavioral	ADJ
gsjp-14087	215	17	measures	measure	NOUN
gsjp-14087	215	18	have	have	AUX
gsjp-14087	215	19	not	not	PART
gsjp-14087	215	20	been	be	AUX
gsjp-14087	215	21	widely	widely	ADV
gsjp-14087	215	22	used	use	VERB
gsjp-14087	215	23	in	in	ADP
gsjp-14087	215	24	computerized	computerized	ADJ
gsjp-14087	215	25	adaptive	adaptive	ADJ
gsjp-14087	215	26	testing	testing	NOUN
gsjp-14087	215	27	of	of	ADP
gsjp-14087	215	28	personality	personality	NOUN
gsjp-14087	215	29	and	and	CCONJ
gsjp-14087	215	30	psychopathology	psychopathology	NOUN
gsjp-14087	215	31	.	.	PUNCT
gsjp-14087	216	1	limitations	limitation	NOUN
gsjp-14087	216	2	and	and	CCONJ
gsjp-14087	216	3	future	future	ADJ
gsjp-14087	216	4	research	research	NOUN
gsjp-14087	216	5	there	there	PRON
gsjp-14087	216	6	are	be	VERB
gsjp-14087	216	7	several	several	ADJ
gsjp-14087	216	8	limitations	limitation	NOUN
gsjp-14087	216	9	in	in	ADP
gsjp-14087	216	10	the	the	DET
gsjp-14087	216	11	current	current	ADJ
gsjp-14087	216	12	study	study	NOUN
gsjp-14087	216	13	.	.	PUNCT
gsjp-14087	217	1	first	first	ADV
gsjp-14087	217	2	,	,	PUNCT
gsjp-14087	217	3	the	the	DET
gsjp-14087	217	4	use	use	NOUN
gsjp-14087	217	5	of	of	ADP
gsjp-14087	217	6	large	large	ADJ
gsjp-14087	217	7	datasets	dataset	NOUN
gsjp-14087	217	8	is	be	AUX
gsjp-14087	217	9	at	at	ADP
gsjp-14087	217	10	higher	high	ADJ
gsjp-14087	217	11	risk	risk	NOUN
gsjp-14087	217	12	of	of	ADP
gsjp-14087	217	13	finding	find	VERB
gsjp-14087	217	14	spurious	spurious	ADJ
gsjp-14087	217	15	correlations	correlation	NOUN
gsjp-14087	217	16	between	between	ADP
gsjp-14087	217	17	variables	variable	NOUN
gsjp-14087	217	18	.	.	PUNCT
gsjp-14087	218	1	the	the	DET
gsjp-14087	218	2	current	current	ADJ
gsjp-14087	218	3	findings	finding	NOUN
gsjp-14087	218	4	are	be	AUX
gsjp-14087	218	5	situated	situate	VERB
gsjp-14087	218	6	within	within	ADP
gsjp-14087	218	7	the	the	DET
gsjp-14087	218	8	theoretical	theoretical	ADJ
gsjp-14087	218	9	and	and	CCONJ
gsjp-14087	218	10	research	research	NOUN
gsjp-14087	218	11	literature	literature	NOUN
gsjp-14087	218	12	supporting	support	VERB
gsjp-14087	218	13	the	the	DET
gsjp-14087	218	14	assertion	assertion	NOUN
gsjp-14087	218	15	that	that	SCONJ
gsjp-14087	218	16	cognitive	cognitive	ADJ
gsjp-14087	218	17	symptoms	symptom	NOUN
gsjp-14087	218	18	of	of	ADP
gsjp-14087	218	19	emotional	emotional	ADJ
gsjp-14087	218	20	distress	distress	NOUN
gsjp-14087	218	21	impact	impact	NOUN
gsjp-14087	218	22	response	response	NOUN
gsjp-14087	218	23	behavior	behavior	NOUN
gsjp-14087	218	24	,	,	PUNCT
gsjp-14087	218	25	and	and	CCONJ
gsjp-14087	218	26	thus	thus	ADV
gsjp-14087	218	27	provide	provide	VERB
gsjp-14087	218	28	greater	great	ADJ
gsjp-14087	218	29	confidence	confidence	NOUN
gsjp-14087	218	30	in	in	ADP
gsjp-14087	218	31	the	the	DET
gsjp-14087	218	32	validity	validity	NOUN
gsjp-14087	218	33	of	of	ADP
gsjp-14087	218	34	the	the	DET
gsjp-14087	218	35	findings	finding	NOUN
gsjp-14087	218	36	.	.	PUNCT
gsjp-14087	219	1	second	second	ADJ
gsjp-14087	219	2	,	,	PUNCT
gsjp-14087	219	3	due	due	ADP
gsjp-14087	219	4	to	to	ADP
gsjp-14087	219	5	the	the	DET
gsjp-14087	219	6	nature	nature	NOUN
gsjp-14087	219	7	of	of	ADP
gsjp-14087	219	8	survey	survey	NOUN
gsjp-14087	219	9	data	datum	NOUN
gsjp-14087	219	10	,	,	PUNCT
gsjp-14087	219	11	the	the	DET
gsjp-14087	219	12	direction	direction	NOUN
gsjp-14087	219	13	of	of	ADP
gsjp-14087	219	14	causation	causation	NOUN
gsjp-14087	219	15	between	between	ADP
gsjp-14087	219	16	careless	careless	ADJ
gsjp-14087	219	17	responding	respond	VERB
gsjp-14087	219	18	and	and	CCONJ
gsjp-14087	219	19	emotional	emotional	ADJ
gsjp-14087	219	20	distress	distress	NOUN
gsjp-14087	219	21	can	can	AUX
gsjp-14087	219	22	not	not	PART
gsjp-14087	219	23	be	be	AUX
gsjp-14087	219	24	confirmed	confirm	VERB
gsjp-14087	219	25	.	.	PUNCT
gsjp-14087	220	1	other	other	ADJ
gsjp-14087	220	2	factors	factor	NOUN
gsjp-14087	220	3	that	that	PRON
gsjp-14087	220	4	were	be	AUX
gsjp-14087	220	5	not	not	PART
gsjp-14087	220	6	studied	study	VERB
gsjp-14087	220	7	in	in	ADP
gsjp-14087	220	8	the	the	DET
gsjp-14087	220	9	current	current	ADJ
gsjp-14087	220	10	research	research	NOUN
gsjp-14087	220	11	(	(	PUNCT
gsjp-14087	220	12	e.g.	e.g.	ADV
gsjp-14087	220	13	,	,	PUNCT
gsjp-14087	220	14	education	education	NOUN
gsjp-14087	220	15	,	,	PUNCT
gsjp-14087	220	16	age	age	NOUN
gsjp-14087	220	17	,	,	PUNCT
gsjp-14087	220	18	and	and	CCONJ
gsjp-14087	220	19	formal	formal	ADJ
gsjp-14087	220	20	diagnoses	diagnosis	NOUN
gsjp-14087	220	21	)	)	PUNCT
gsjp-14087	220	22	may	may	AUX
gsjp-14087	220	23	be	be	AUX
gsjp-14087	220	24	confounding	confound	VERB
gsjp-14087	220	25	the	the	DET
gsjp-14087	220	26	relationship	relationship	NOUN
gsjp-14087	220	27	between	between	ADP
gsjp-14087	220	28	emotional	emotional	ADJ
gsjp-14087	220	29	distress	distress	NOUN
gsjp-14087	220	30	and	and	CCONJ
gsjp-14087	220	31	careless	careless	ADJ
gsjp-14087	220	32	responding	responding	NOUN
gsjp-14087	220	33	.	.	PUNCT
gsjp-14087	221	1	similarly	similarly	ADV
gsjp-14087	221	2	,	,	PUNCT
gsjp-14087	221	3	the	the	DET
gsjp-14087	221	4	normative	normative	ADJ
gsjp-14087	221	5	response	response	NOUN
gsjp-14087	221	6	method	method	NOUN
gsjp-14087	221	7	used	use	VERB
gsjp-14087	221	8	to	to	PART
gsjp-14087	221	9	identify	identify	VERB
gsjp-14087	221	10	careless	careless	ADJ
gsjp-14087	221	11	responses	response	NOUN
gsjp-14087	221	12	may	may	AUX
gsjp-14087	221	13	be	be	AUX
gsjp-14087	221	14	impacted	impact	VERB
gsjp-14087	221	15	by	by	ADP
gsjp-14087	221	16	confounding	confound	VERB
gsjp-14087	221	17	variables	variable	NOUN
gsjp-14087	221	18	,	,	PUNCT
gsjp-14087	221	19	such	such	ADJ
gsjp-14087	221	20	as	as	ADP
gsjp-14087	221	21	technical	technical	ADJ
gsjp-14087	221	22	issues	issue	NOUN
gsjp-14087	221	23	experienced	experience	VERB
gsjp-14087	221	24	by	by	ADP
gsjp-14087	221	25	respondents	respondent	NOUN
gsjp-14087	221	26	,	,	PUNCT
gsjp-14087	221	27	item	item	NOUN
gsjp-14087	221	28	wording	wording	NOUN
gsjp-14087	221	29	,	,	PUNCT
gsjp-14087	221	30	and	and	CCONJ
gsjp-14087	221	31	item	item	NOUN
gsjp-14087	221	32	valence	valence	NOUN
gsjp-14087	221	33	.	.	PUNCT
gsjp-14087	222	1	additional	additional	ADJ
gsjp-14087	222	2	research	research	NOUN
gsjp-14087	222	3	is	be	AUX
gsjp-14087	222	4	needed	need	VERB
gsjp-14087	222	5	to	to	PART
gsjp-14087	222	6	understand	understand	VERB
gsjp-14087	222	7	how	how	SCONJ
gsjp-14087	222	8	patterns	pattern	NOUN
gsjp-14087	222	9	of	of	ADP
gsjp-14087	222	10	slow	slow	ADJ
gsjp-14087	222	11	response	response	NOUN
gsjp-14087	222	12	time	time	NOUN
gsjp-14087	222	13	may	may	AUX
gsjp-14087	222	14	be	be	AUX
gsjp-14087	222	15	related	relate	VERB
gsjp-14087	222	16	to	to	ADP
gsjp-14087	222	17	emotional	emotional	ADJ
gsjp-14087	222	18	distress	distress	NOUN
gsjp-14087	222	19	due	due	ADP
gsjp-14087	222	20	to	to	ADP
gsjp-14087	222	21	low	low	ADJ
gsjp-14087	222	22	processing	processing	NOUN
gsjp-14087	222	23	speed	speed	NOUN
gsjp-14087	222	24	and	and	CCONJ
gsjp-14087	222	25	poor	poor	ADJ
gsjp-14087	222	26	concentration	concentration	NOUN
gsjp-14087	222	27	,	,	PUNCT
gsjp-14087	222	28	and	and	CCONJ
gsjp-14087	222	29	to	to	PART
gsjp-14087	222	30	differentiate	differentiate	VERB
gsjp-14087	222	31	these	these	DET
gsjp-14087	222	32	responses	response	NOUN
gsjp-14087	222	33	from	from	ADP
gsjp-14087	222	34	slow	slow	ADJ
gsjp-14087	222	35	,	,	PUNCT
gsjp-14087	222	36	careful	careful	ADJ
gsjp-14087	222	37	responders	responder	NOUN
gsjp-14087	222	38	.	.	PUNCT
gsjp-14087	223	1	the	the	DET
gsjp-14087	223	2	literature	literature	NOUN
gsjp-14087	223	3	would	would	AUX
gsjp-14087	223	4	benefit	benefit	VERB
gsjp-14087	223	5	from	from	ADP
gsjp-14087	223	6	a	a	DET
gsjp-14087	223	7	direct	direct	ADJ
gsjp-14087	223	8	comparison	comparison	NOUN
gsjp-14087	223	9	of	of	ADP
gsjp-14087	223	10	the	the	DET
gsjp-14087	223	11	normative	normative	ADJ
gsjp-14087	223	12	threshold	threshold	NOUN
gsjp-14087	223	13	method	method	NOUN
gsjp-14087	223	14	with	with	ADP
gsjp-14087	223	15	other	other	ADJ
gsjp-14087	223	16	detection	detection	NOUN
gsjp-14087	223	17	methods	method	NOUN
gsjp-14087	223	18	(	(	PUNCT
gsjp-14087	223	19	e.g.	e.g.	ADV
gsjp-14087	223	20	,	,	PUNCT
gsjp-14087	223	21	longstring	longstre	VERB
gsjp-14087	223	22	)	)	PUNCT
gsjp-14087	223	23	.	.	PUNCT
gsjp-14087	224	1	there	there	PRON
gsjp-14087	224	2	are	be	VERB
gsjp-14087	224	3	also	also	ADV
gsjp-14087	224	4	several	several	ADJ
gsjp-14087	224	5	limitations	limitation	NOUN
gsjp-14087	224	6	related	relate	VERB
gsjp-14087	224	7	to	to	ADP
gsjp-14087	224	8	the	the	DET
gsjp-14087	224	9	second	second	ADJ
gsjp-14087	224	10	research	research	NOUN
gsjp-14087	224	11	question	question	NOUN
gsjp-14087	224	12	.	.	PUNCT
gsjp-14087	225	1	first	first	ADV
gsjp-14087	225	2	,	,	PUNCT
gsjp-14087	225	3	there	there	PRON
gsjp-14087	225	4	was	be	VERB
gsjp-14087	225	5	a	a	DET
gsjp-14087	225	6	positive	positive	ADJ
gsjp-14087	225	7	skew	skew	NOUN
gsjp-14087	225	8	in	in	ADP
gsjp-14087	225	9	our	our	PRON
gsjp-14087	225	10	dataset	dataset	NOUN
gsjp-14087	225	11	with	with	ADP
gsjp-14087	225	12	an	an	DET
gsjp-14087	225	13	overrepresentation	overrepresentation	NOUN
gsjp-14087	225	14	of	of	ADP
gsjp-14087	225	15	emotionally	emotionally	ADV
gsjp-14087	225	16	distressed	distressed	ADJ
gsjp-14087	225	17	responders	responder	NOUN
gsjp-14087	225	18	.	.	PUNCT
gsjp-14087	226	1	kumar	kumar	PROPN
gsjp-14087	226	2	et	et	PROPN
gsjp-14087	226	3	al	al	PROPN
gsjp-14087	226	4	.	.	PROPN
gsjp-14087	226	5	(	(	PUNCT
gsjp-14087	226	6	2020	2020	NUM
gsjp-14087	226	7	)	)	PUNCT
gsjp-14087	226	8	noted	note	VERB
gsjp-14087	226	9	the	the	DET
gsjp-14087	226	10	problem	problem	NOUN
gsjp-14087	226	11	of	of	ADP
gsjp-14087	226	12	determining	determine	VERB
gsjp-14087	226	13	the	the	DET
gsjp-14087	226	14	best	good	ADJ
gsjp-14087	226	15	predictive	predictive	ADJ
gsjp-14087	226	16	model	model	NOUN
gsjp-14087	226	17	when	when	SCONJ
gsjp-14087	226	18	data	datum	NOUN
gsjp-14087	226	19	is	be	AUX
gsjp-14087	226	20	imbalanced	imbalance	VERB
gsjp-14087	226	21	between	between	ADP
gsjp-14087	226	22	classification	classification	NOUN
gsjp-14087	226	23	categories	category	NOUN
gsjp-14087	226	24	.	.	PUNCT
gsjp-14087	227	1	given	give	VERB
gsjp-14087	227	2	the	the	DET
gsjp-14087	227	3	potential	potential	ADJ
gsjp-14087	227	4	increase	increase	NOUN
gsjp-14087	227	5	in	in	ADP
gsjp-14087	227	6	computation	computation	NOUN
gsjp-14087	227	7	time	time	NOUN
gsjp-14087	227	8	and	and	CCONJ
gsjp-14087	227	9	considering	consider	VERB
gsjp-14087	227	10	the	the	DET
gsjp-14087	227	11	primary	primary	ADJ
gsjp-14087	227	12	focus	focus	NOUN
gsjp-14087	227	13	of	of	ADP
gsjp-14087	227	14	our	our	PRON
gsjp-14087	227	15	paper	paper	NOUN
gsjp-14087	227	16	,	,	PUNCT
gsjp-14087	227	17	we	we	PRON
gsjp-14087	227	18	opted	opt	VERB
gsjp-14087	227	19	not	not	PART
gsjp-14087	227	20	to	to	PART
gsjp-14087	227	21	perform	perform	VERB
gsjp-14087	227	22	class	class	NOUN
gsjp-14087	227	23	balancing	balancing	NOUN
gsjp-14087	227	24	techniques	technique	NOUN
gsjp-14087	227	25	.	.	PUNCT
gsjp-14087	228	1	future	future	ADJ
gsjp-14087	228	2	research	research	NOUN
gsjp-14087	228	3	can	can	AUX
gsjp-14087	228	4	study	study	VERB
gsjp-14087	228	5	different	different	ADJ
gsjp-14087	228	6	sampling	sampling	NOUN
gsjp-14087	228	7	methods	method	NOUN
gsjp-14087	228	8	,	,	PUNCT
gsjp-14087	228	9	such	such	ADJ
gsjp-14087	228	10	as	as	ADP
gsjp-14087	228	11	undersampling	undersampling	ADJ
gsjp-14087	228	12	,	,	PUNCT
gsjp-14087	228	13	oversampling	oversampling	ADJ
gsjp-14087	228	14	,	,	PUNCT
gsjp-14087	228	15	and	and	CCONJ
gsjp-14087	228	16	rose	rise	VERB
gsjp-14087	228	17	techniques	technique	NOUN
gsjp-14087	228	18	,	,	PUNCT
gsjp-14087	228	19	to	to	PART
gsjp-14087	228	20	address	address	VERB
gsjp-14087	228	21	the	the	DET
gsjp-14087	228	22	class	class	NOUN
gsjp-14087	228	23	imbalance	imbalance	NOUN
gsjp-14087	228	24	.	.	PUNCT
gsjp-14087	229	1	second	second	ADJ
gsjp-14087	229	2	,	,	PUNCT
gsjp-14087	229	3	the	the	DET
gsjp-14087	229	4	algorithm	algorithm	NOUN
gsjp-14087	229	5	used	use	VERB
gsjp-14087	229	6	in	in	ADP
gsjp-14087	229	7	the	the	DET
gsjp-14087	229	8	machine	machine	NOUN
gsjp-14087	229	9	learning	learning	NOUN
gsjp-14087	229	10	model	model	NOUN
gsjp-14087	229	11	and	and	CCONJ
gsjp-14087	229	12	its	its	PRON
gsjp-14087	229	13	parameters	parameter	NOUN
gsjp-14087	229	14	may	may	AUX
gsjp-14087	229	15	80	80	NUM
gsjp-14087	229	16	response	response	NOUN
gsjp-14087	229	17	time	time	NOUN
gsjp-14087	229	18	to	to	PART
gsjp-14087	229	19	identify	identify	VERB
gsjp-14087	229	20	careless	careless	ADJ
gsjp-14087	229	21	responders	responder	NOUN
gsjp-14087	229	22	have	have	AUX
gsjp-14087	229	23	impacted	impact	VERB
gsjp-14087	229	24	model	model	NOUN
gsjp-14087	229	25	performance	performance	NOUN
gsjp-14087	229	26	.	.	PUNCT
gsjp-14087	230	1	the	the	DET
gsjp-14087	230	2	current	current	ADJ
gsjp-14087	230	3	study	study	NOUN
gsjp-14087	230	4	used	use	VERB
gsjp-14087	230	5	dt	dt	PROPN
gsjp-14087	230	6	,	,	PUNCT
gsjp-14087	230	7	rf	rf	PROPN
gsjp-14087	230	8	,	,	PUNCT
gsjp-14087	230	9	nb	nb	INTJ
gsjp-14087	230	10	,	,	PUNCT
gsjp-14087	230	11	and	and	CCONJ
gsjp-14087	230	12	svm	svm	ADJ
gsjp-14087	230	13	algorithms	algorithm	NOUN
gsjp-14087	230	14	,	,	PUNCT
gsjp-14087	230	15	but	but	CCONJ
gsjp-14087	230	16	future	future	ADJ
gsjp-14087	230	17	research	research	NOUN
gsjp-14087	230	18	can	can	AUX
gsjp-14087	230	19	study	study	VERB
gsjp-14087	230	20	other	other	ADJ
gsjp-14087	230	21	algorithms	algorithm	NOUN
gsjp-14087	230	22	not	not	PART
gsjp-14087	230	23	included	include	VERB
gsjp-14087	230	24	here	here	ADV
gsjp-14087	230	25	.	.	PUNCT
gsjp-14087	231	1	third	third	ADJ
gsjp-14087	231	2	,	,	PUNCT
gsjp-14087	231	3	machine	machine	NOUN
gsjp-14087	231	4	learning	learning	NOUN
gsjp-14087	231	5	models	model	NOUN
gsjp-14087	231	6	may	may	AUX
gsjp-14087	231	7	make	make	VERB
gsjp-14087	231	8	biased	biased	ADJ
gsjp-14087	231	9	predictions	prediction	NOUN
gsjp-14087	231	10	for	for	ADP
gsjp-14087	231	11	groups	group	NOUN
gsjp-14087	231	12	belonging	belong	VERB
gsjp-14087	231	13	to	to	ADP
gsjp-14087	231	14	different	different	ADJ
gsjp-14087	231	15	demographic	demographic	ADJ
gsjp-14087	231	16	categories	category	NOUN
gsjp-14087	231	17	,	,	PUNCT
gsjp-14087	231	18	such	such	ADJ
gsjp-14087	231	19	as	as	ADP
gsjp-14087	231	20	race	race	NOUN
gsjp-14087	231	21	,	,	PUNCT
gsjp-14087	231	22	gender	gender	NOUN
gsjp-14087	231	23	,	,	PUNCT
gsjp-14087	231	24	and	and	CCONJ
gsjp-14087	231	25	age	age	NOUN
gsjp-14087	231	26	.	.	PUNCT
gsjp-14087	232	1	future	future	ADJ
gsjp-14087	232	2	research	research	NOUN
gsjp-14087	232	3	must	must	AUX
gsjp-14087	232	4	consider	consider	VERB
gsjp-14087	232	5	these	these	DET
gsjp-14087	232	6	demographic	demographic	ADJ
gsjp-14087	232	7	variables	variable	NOUN
gsjp-14087	232	8	to	to	PART
gsjp-14087	232	9	understand	understand	VERB
gsjp-14087	232	10	the	the	DET
gsjp-14087	232	11	generalizability	generalizability	NOUN
gsjp-14087	232	12	of	of	ADP
gsjp-14087	232	13	the	the	DET
gsjp-14087	232	14	model	model	NOUN
gsjp-14087	232	15	to	to	ADP
gsjp-14087	232	16	different	different	ADJ
gsjp-14087	232	17	populations	population	NOUN
gsjp-14087	232	18	.	.	PUNCT
gsjp-14087	233	1	finally	finally	ADV
gsjp-14087	233	2	,	,	PUNCT
gsjp-14087	233	3	to	to	PART
gsjp-14087	233	4	mitigate	mitigate	VERB
gsjp-14087	233	5	concerns	concern	NOUN
gsjp-14087	233	6	of	of	ADP
gsjp-14087	233	7	circularity	circularity	NOUN
gsjp-14087	233	8	,	,	PUNCT
gsjp-14087	233	9	we	we	PRON
gsjp-14087	233	10	split	split	VERB
gsjp-14087	233	11	the	the	DET
gsjp-14087	233	12	data	datum	NOUN
gsjp-14087	233	13	into	into	ADP
gsjp-14087	233	14	separate	separate	ADJ
gsjp-14087	233	15	training	training	NOUN
gsjp-14087	233	16	and	and	CCONJ
gsjp-14087	233	17	validation	validation	NOUN
gsjp-14087	233	18	sets	set	NOUN
gsjp-14087	233	19	,	,	PUNCT
gsjp-14087	233	20	ensuring	ensure	VERB
gsjp-14087	233	21	that	that	SCONJ
gsjp-14087	233	22	predictive	predictive	ADJ
gsjp-14087	233	23	analyses	analysis	NOUN
gsjp-14087	233	24	were	be	AUX
gsjp-14087	233	25	conducted	conduct	VERB
gsjp-14087	233	26	on	on	ADP
gsjp-14087	233	27	an	an	DET
gsjp-14087	233	28	independent	independent	ADJ
gsjp-14087	233	29	dataset	dataset	NOUN
gsjp-14087	233	30	.	.	PUNCT
gsjp-14087	234	1	future	future	ADJ
gsjp-14087	234	2	research	research	NOUN
gsjp-14087	234	3	could	could	AUX
gsjp-14087	234	4	further	far	ADV
gsjp-14087	234	5	strengthen	strengthen	VERB
gsjp-14087	234	6	the	the	DET
gsjp-14087	234	7	validation	validation	NOUN
gsjp-14087	234	8	of	of	ADP
gsjp-14087	234	9	response	response	NOUN
gsjp-14087	234	10	-	-	PUNCT
gsjp-14087	234	11	time	time	NOUN
gsjp-14087	234	12	-	-	PUNCT
gsjp-14087	234	13	based	base	VERB
gsjp-14087	234	14	indicators	indicator	NOUN
gsjp-14087	234	15	by	by	ADP
gsjp-14087	234	16	examining	examine	VERB
gsjp-14087	234	17	their	their	PRON
gsjp-14087	234	18	predictive	predictive	ADJ
gsjp-14087	234	19	utility	utility	NOUN
gsjp-14087	234	20	using	use	VERB
gsjp-14087	234	21	additional	additional	ADJ
gsjp-14087	234	22	independent	independent	ADJ
gsjp-14087	234	23	outcome	outcome	NOUN
gsjp-14087	234	24	measures	measure	NOUN
gsjp-14087	234	25	.	.	PUNCT
gsjp-14087	235	1	the	the	DET
gsjp-14087	235	2	current	current	ADJ
gsjp-14087	235	3	study	study	NOUN
gsjp-14087	235	4	stimulates	stimulate	VERB
gsjp-14087	235	5	several	several	ADJ
gsjp-14087	235	6	future	future	ADJ
gsjp-14087	235	7	research	research	NOUN
gsjp-14087	235	8	directions	direction	NOUN
gsjp-14087	235	9	.	.	PUNCT
gsjp-14087	236	1	first	first	ADV
gsjp-14087	236	2	,	,	PUNCT
gsjp-14087	236	3	future	future	ADJ
gsjp-14087	236	4	research	research	NOUN
gsjp-14087	236	5	may	may	AUX
gsjp-14087	236	6	specify	specify	VERB
gsjp-14087	236	7	which	which	DET
gsjp-14087	236	8	emotional	emotional	ADJ
gsjp-14087	236	9	states	state	NOUN
gsjp-14087	236	10	(	(	PUNCT
gsjp-14087	236	11	e.g.	e.g.	ADV
gsjp-14087	236	12	,	,	PUNCT
gsjp-14087	236	13	depression	depression	NOUN
gsjp-14087	236	14	,	,	PUNCT
gsjp-14087	236	15	anxiety	anxiety	NOUN
gsjp-14087	236	16	,	,	PUNCT
gsjp-14087	236	17	excitement	excitement	NOUN
gsjp-14087	236	18	,	,	PUNCT
gsjp-14087	236	19	and	and	CCONJ
gsjp-14087	236	20	boredom	boredom	NOUN
gsjp-14087	236	21	)	)	PUNCT
gsjp-14087	236	22	and	and	CCONJ
gsjp-14087	236	23	demographics	demographic	NOUN
gsjp-14087	236	24	(	(	PUNCT
gsjp-14087	236	25	e.g.	e.g.	ADV
gsjp-14087	236	26	,	,	PUNCT
gsjp-14087	236	27	age	age	NOUN
gsjp-14087	236	28	and	and	CCONJ
gsjp-14087	236	29	gender	gender	NOUN
gsjp-14087	236	30	)	)	PUNCT
gsjp-14087	236	31	are	be	AUX
gsjp-14087	236	32	associated	associate	VERB
gsjp-14087	236	33	with	with	ADP
gsjp-14087	236	34	higher	high	ADJ
gsjp-14087	236	35	levels	level	NOUN
gsjp-14087	236	36	of	of	ADP
gsjp-14087	236	37	carelessness	carelessness	NOUN
gsjp-14087	236	38	for	for	ADP
gsjp-14087	236	39	enhanced	enhanced	ADJ
gsjp-14087	236	40	psychometric	psychometric	ADJ
gsjp-14087	236	41	accuracy	accuracy	NOUN
gsjp-14087	236	42	.	.	PUNCT
gsjp-14087	237	1	this	this	DET
gsjp-14087	237	2	approach	approach	NOUN
gsjp-14087	237	3	especially	especially	ADV
gsjp-14087	237	4	benefits	benefit	VERB
gsjp-14087	237	5	individuals	individual	NOUN
gsjp-14087	237	6	who	who	PRON
gsjp-14087	237	7	score	score	VERB
gsjp-14087	237	8	low	low	ADV
gsjp-14087	237	9	on	on	ADP
gsjp-14087	237	10	the	the	DET
gsjp-14087	237	11	dass-42	dass-42	PROPN
gsjp-14087	237	12	due	due	ADP
gsjp-14087	237	13	to	to	ADP
gsjp-14087	237	14	poor	poor	ADJ
gsjp-14087	237	15	insight	insight	NOUN
gsjp-14087	237	16	into	into	ADP
gsjp-14087	237	17	or	or	CCONJ
gsjp-14087	237	18	masking	masking	NOUN
gsjp-14087	237	19	of	of	ADP
gsjp-14087	237	20	their	their	PRON
gsjp-14087	237	21	emotional	emotional	ADJ
gsjp-14087	237	22	state	state	NOUN
gsjp-14087	237	23	but	but	CCONJ
gsjp-14087	237	24	whose	whose	DET
gsjp-14087	237	25	cognitive	cognitive	ADJ
gsjp-14087	237	26	impairment	impairment	NOUN
gsjp-14087	237	27	is	be	AUX
gsjp-14087	237	28	indicated	indicate	VERB
gsjp-14087	237	29	by	by	ADP
gsjp-14087	237	30	a	a	DET
gsjp-14087	237	31	behavioral	behavioral	ADJ
gsjp-14087	237	32	measure	measure	NOUN
gsjp-14087	237	33	,	,	PUNCT
gsjp-14087	237	34	such	such	ADJ
gsjp-14087	237	35	as	as	ADP
gsjp-14087	237	36	response	response	NOUN
gsjp-14087	237	37	time	time	NOUN
gsjp-14087	237	38	.	.	PUNCT
gsjp-14087	238	1	second	second	ADJ
gsjp-14087	238	2	,	,	PUNCT
gsjp-14087	238	3	the	the	DET
gsjp-14087	238	4	identification	identification	NOUN
gsjp-14087	238	5	of	of	ADP
gsjp-14087	238	6	patterns	pattern	NOUN
gsjp-14087	238	7	in	in	ADP
gsjp-14087	238	8	the	the	DET
gsjp-14087	238	9	data	datum	NOUN
gsjp-14087	238	10	that	that	PRON
gsjp-14087	238	11	are	be	AUX
gsjp-14087	238	12	indicative	indicative	ADJ
gsjp-14087	238	13	of	of	ADP
gsjp-14087	238	14	certain	certain	ADJ
gsjp-14087	238	15	levels	level	NOUN
gsjp-14087	238	16	of	of	ADP
gsjp-14087	238	17	emotional	emotional	ADJ
gsjp-14087	238	18	distress	distress	NOUN
gsjp-14087	238	19	,	,	PUNCT
gsjp-14087	238	20	which	which	PRON
gsjp-14087	238	21	could	could	AUX
gsjp-14087	238	22	help	help	VERB
gsjp-14087	238	23	to	to	PART
gsjp-14087	238	24	improve	improve	VERB
gsjp-14087	238	25	the	the	DET
gsjp-14087	238	26	diagnostic	diagnostic	ADJ
gsjp-14087	238	27	accuracy	accuracy	NOUN
gsjp-14087	238	28	of	of	ADP
gsjp-14087	238	29	the	the	DET
gsjp-14087	238	30	dass-42	dass-42	PROPN
gsjp-14087	238	31	scale	scale	NOUN
gsjp-14087	238	32	,	,	PUNCT
gsjp-14087	238	33	should	should	AUX
gsjp-14087	238	34	be	be	AUX
gsjp-14087	238	35	explored	explore	VERB
gsjp-14087	238	36	.	.	PUNCT
gsjp-14087	239	1	for	for	ADP
gsjp-14087	239	2	example	example	NOUN
gsjp-14087	239	3	,	,	PUNCT
gsjp-14087	239	4	researchers	researcher	NOUN
gsjp-14087	239	5	can	can	AUX
gsjp-14087	239	6	investigate	investigate	VERB
gsjp-14087	239	7	whether	whether	SCONJ
gsjp-14087	239	8	a	a	DET
gsjp-14087	239	9	client	client	NOUN
gsjp-14087	239	10	’s	’s	PART
gsjp-14087	239	11	carelessness	carelessness	NOUN
gsjp-14087	239	12	increases	increase	NOUN
gsjp-14087	239	13	,	,	PUNCT
gsjp-14087	239	14	ebbs	ebb	NOUN
gsjp-14087	239	15	and	and	CCONJ
gsjp-14087	239	16	flows	flow	NOUN
gsjp-14087	239	17	,	,	PUNCT
gsjp-14087	239	18	or	or	CCONJ
gsjp-14087	239	19	has	have	VERB
gsjp-14087	239	20	a	a	DET
gsjp-14087	239	21	consistent	consistent	ADJ
gsjp-14087	239	22	rate	rate	NOUN
gsjp-14087	239	23	throughout	throughout	ADP
gsjp-14087	239	24	the	the	DET
gsjp-14087	239	25	survey	survey	NOUN
gsjp-14087	239	26	.	.	PUNCT
gsjp-14087	240	1	thirdly	thirdly	ADV
gsjp-14087	240	2	,	,	PUNCT
gsjp-14087	240	3	the	the	DET
gsjp-14087	240	4	normative	normative	ADJ
gsjp-14087	240	5	response	response	NOUN
gsjp-14087	240	6	time	time	NOUN
gsjp-14087	240	7	approach	approach	NOUN
gsjp-14087	240	8	may	may	AUX
gsjp-14087	240	9	be	be	AUX
gsjp-14087	240	10	applied	apply	VERB
gsjp-14087	240	11	within	within	ADP
gsjp-14087	240	12	cognitive	cognitive	ADJ
gsjp-14087	240	13	psychology	psychology	NOUN
gsjp-14087	240	14	and	and	CCONJ
gsjp-14087	240	15	emotion	emotion	NOUN
gsjp-14087	240	16	regulation	regulation	NOUN
gsjp-14087	240	17	research	research	NOUN
gsjp-14087	240	18	to	to	PART
gsjp-14087	240	19	explore	explore	VERB
gsjp-14087	240	20	how	how	SCONJ
gsjp-14087	240	21	different	different	ADJ
gsjp-14087	240	22	emotion	emotion	NOUN
gsjp-14087	240	23	regulation	regulation	NOUN
gsjp-14087	240	24	strategies	strategy	NOUN
gsjp-14087	240	25	impact	impact	VERB
gsjp-14087	240	26	cognitive	cognitive	ADJ
gsjp-14087	240	27	processes	process	NOUN
gsjp-14087	240	28	and	and	CCONJ
gsjp-14087	240	29	to	to	PART
gsjp-14087	240	30	compare	compare	VERB
gsjp-14087	240	31	response	response	NOUN
gsjp-14087	240	32	time	time	NOUN
gsjp-14087	240	33	cut	cut	VERB
gsjp-14087	240	34	scores	score	NOUN
gsjp-14087	240	35	amongst	amongst	ADP
gsjp-14087	240	36	different	different	ADJ
gsjp-14087	240	37	populations	population	NOUN
gsjp-14087	240	38	.	.	PUNCT
gsjp-14087	241	1	finally	finally	ADV
gsjp-14087	241	2	,	,	PUNCT
gsjp-14087	241	3	more	more	ADJ
gsjp-14087	241	4	research	research	NOUN
gsjp-14087	241	5	is	be	AUX
gsjp-14087	241	6	needed	need	VERB
gsjp-14087	241	7	to	to	PART
gsjp-14087	241	8	explore	explore	VERB
gsjp-14087	241	9	how	how	SCONJ
gsjp-14087	241	10	machine	machine	NOUN
gsjp-14087	241	11	learning	learning	NOUN
gsjp-14087	241	12	models	model	NOUN
gsjp-14087	241	13	that	that	PRON
gsjp-14087	241	14	include	include	VERB
gsjp-14087	241	15	response	response	NOUN
gsjp-14087	241	16	time	time	NOUN
gsjp-14087	241	17	can	can	AUX
gsjp-14087	241	18	be	be	AUX
gsjp-14087	241	19	incorporated	incorporate	VERB
gsjp-14087	241	20	effectively	effectively	ADV
gsjp-14087	241	21	into	into	ADP
gsjp-14087	241	22	clinical	clinical	ADJ
gsjp-14087	241	23	and	and	CCONJ
gsjp-14087	241	24	psychological	psychological	ADJ
gsjp-14087	241	25	assessments	assessment	NOUN
gsjp-14087	241	26	,	,	PUNCT
gsjp-14087	241	27	such	such	ADJ
gsjp-14087	241	28	as	as	ADP
gsjp-14087	241	29	adaptive	adaptive	ADJ
gsjp-14087	241	30	testing	testing	NOUN
gsjp-14087	241	31	and	and	CCONJ
gsjp-14087	241	32	wellness	wellness	NOUN
gsjp-14087	241	33	-	-	PUNCT
gsjp-14087	241	34	oriented	orient	VERB
gsjp-14087	241	35	smartphone	smartphone	NOUN
gsjp-14087	241	36	applications	application	NOUN
gsjp-14087	241	37	.	.	PUNCT
gsjp-14087	242	1	conclusion	conclusion	NOUN
gsjp-14087	242	2	careless	careless	ADJ
gsjp-14087	242	3	responding	respond	VERB
gsjp-14087	242	4	is	be	AUX
gsjp-14087	242	5	a	a	DET
gsjp-14087	242	6	significant	significant	ADJ
gsjp-14087	242	7	source	source	NOUN
gsjp-14087	242	8	of	of	ADP
gsjp-14087	242	9	bias	bias	NOUN
gsjp-14087	242	10	in	in	ADP
gsjp-14087	242	11	online	online	ADJ
gsjp-14087	242	12	self	self	NOUN
gsjp-14087	242	13	-	-	PUNCT
gsjp-14087	242	14	report	report	NOUN
gsjp-14087	242	15	surveys	survey	NOUN
gsjp-14087	242	16	–	–	PUNCT
gsjp-14087	242	17	a	a	DET
gsjp-14087	242	18	common	common	ADJ
gsjp-14087	242	19	data	data	NOUN
gsjp-14087	242	20	collection	collection	NOUN
gsjp-14087	242	21	method	method	NOUN
gsjp-14087	242	22	in	in	ADP
gsjp-14087	242	23	the	the	DET
gsjp-14087	242	24	field	field	NOUN
gsjp-14087	242	25	of	of	ADP
gsjp-14087	242	26	psychology	psychology	NOUN
gsjp-14087	242	27	.	.	PUNCT
gsjp-14087	243	1	the	the	DET
gsjp-14087	243	2	normative	normative	ADJ
gsjp-14087	243	3	threshold	threshold	NOUN
gsjp-14087	243	4	method	method	NOUN
gsjp-14087	243	5	is	be	AUX
gsjp-14087	243	6	an	an	DET
gsjp-14087	243	7	important	important	ADJ
gsjp-14087	243	8	approach	approach	NOUN
gsjp-14087	243	9	for	for	SCONJ
gsjp-14087	243	10	researchers	researcher	NOUN
gsjp-14087	243	11	to	to	PART
gsjp-14087	243	12	identify	identify	VERB
gsjp-14087	243	13	careless	careless	ADJ
gsjp-14087	243	14	responders	responder	NOUN
gsjp-14087	243	15	,	,	PUNCT
gsjp-14087	243	16	and	and	CCONJ
gsjp-14087	243	17	it	it	PRON
gsjp-14087	243	18	circumvents	circumvent	VERB
gsjp-14087	243	19	the	the	DET
gsjp-14087	243	20	limitations	limitation	NOUN
gsjp-14087	243	21	of	of	ADP
gsjp-14087	243	22	other	other	ADJ
gsjp-14087	243	23	approaches	approach	NOUN
gsjp-14087	243	24	for	for	ADP
gsjp-14087	243	25	detecting	detect	VERB
gsjp-14087	243	26	response	response	NOUN
gsjp-14087	243	27	bias	bias	NOUN
gsjp-14087	243	28	.	.	PUNCT
gsjp-14087	244	1	the	the	DET
gsjp-14087	244	2	normative	normative	ADJ
gsjp-14087	244	3	threshold	threshold	NOUN
gsjp-14087	244	4	method	method	NOUN
gsjp-14087	244	5	also	also	ADV
gsjp-14087	244	6	offers	offer	VERB
gsjp-14087	244	7	a	a	DET
gsjp-14087	244	8	novel	novel	ADJ
gsjp-14087	244	9	behavioral	behavioral	ADJ
gsjp-14087	244	10	measure	measure	NOUN
gsjp-14087	244	11	for	for	ADP
gsjp-14087	244	12	studying	study	VERB
gsjp-14087	244	13	the	the	DET
gsjp-14087	244	14	impact	impact	NOUN
gsjp-14087	244	15	of	of	ADP
gsjp-14087	244	16	emotional	emotional	ADJ
gsjp-14087	244	17	distress	distress	NOUN
gsjp-14087	244	18	on	on	ADP
gsjp-14087	244	19	cognition	cognition	NOUN
gsjp-14087	244	20	.	.	PUNCT
gsjp-14087	245	1	while	while	SCONJ
gsjp-14087	245	2	all	all	DET
gsjp-14087	245	3	researchers	researcher	NOUN
gsjp-14087	245	4	using	use	VERB
gsjp-14087	245	5	self	self	NOUN
gsjp-14087	245	6	-	-	PUNCT
gsjp-14087	245	7	report	report	NOUN
gsjp-14087	245	8	measures	measure	NOUN
gsjp-14087	245	9	hold	hold	VERB
gsjp-14087	245	10	responsibility	responsibility	NOUN
gsjp-14087	245	11	and	and	CCONJ
gsjp-14087	245	12	accountability	accountability	NOUN
gsjp-14087	245	13	for	for	ADP
gsjp-14087	245	14	collecting	collect	VERB
gsjp-14087	245	15	valid	valid	ADJ
gsjp-14087	245	16	and	and	CCONJ
gsjp-14087	245	17	reliable	reliable	ADJ
gsjp-14087	245	18	data	datum	NOUN
gsjp-14087	245	19	,	,	PUNCT
gsjp-14087	245	20	those	those	PRON
gsjp-14087	245	21	conducting	conduct	VERB
gsjp-14087	245	22	research	research	NOUN
gsjp-14087	245	23	on	on	ADP
gsjp-14087	245	24	emotional	emotional	ADJ
gsjp-14087	245	25	distress	distress	NOUN
gsjp-14087	245	26	face	face	VERB
gsjp-14087	245	27	additional	additional	ADJ
gsjp-14087	245	28	validity	validity	NOUN
gsjp-14087	245	29	threats	threat	NOUN
gsjp-14087	245	30	because	because	SCONJ
gsjp-14087	245	31	of	of	ADP
gsjp-14087	245	32	the	the	DET
gsjp-14087	245	33	relationship	relationship	NOUN
gsjp-14087	245	34	between	between	ADP
gsjp-14087	245	35	emotional	emotional	ADJ
gsjp-14087	245	36	distress	distress	NOUN
gsjp-14087	245	37	and	and	CCONJ
gsjp-14087	245	38	careless	careless	ADJ
gsjp-14087	245	39	responding	responding	NOUN
gsjp-14087	245	40	.	.	PUNCT
gsjp-14087	246	1	the	the	DET
gsjp-14087	246	2	current	current	ADJ
gsjp-14087	246	3	study	study	NOUN
gsjp-14087	246	4	provides	provide	VERB
gsjp-14087	246	5	preliminary	preliminary	ADJ
gsjp-14087	246	6	evidence	evidence	NOUN
gsjp-14087	246	7	that	that	SCONJ
gsjp-14087	246	8	incorporating	incorporate	VERB
gsjp-14087	246	9	normative	normative	ADJ
gsjp-14087	246	10	response	response	NOUN
gsjp-14087	246	11	thresholds	threshold	NOUN
gsjp-14087	246	12	into	into	ADP
gsjp-14087	246	13	routine	routine	ADJ
gsjp-14087	246	14	data	datum	NOUN
gsjp-14087	246	15	cleaning	cleaning	NOUN
gsjp-14087	246	16	practices	practice	NOUN
gsjp-14087	246	17	and	and	CCONJ
gsjp-14087	246	18	machine	machine	NOUN
gsjp-14087	246	19	learning	learning	NOUN
gsjp-14087	246	20	models	model	NOUN
gsjp-14087	246	21	may	may	AUX
gsjp-14087	246	22	enhance	enhance	VERB
gsjp-14087	246	23	the	the	DET
gsjp-14087	246	24	accuracy	accuracy	NOUN
gsjp-14087	246	25	with	with	ADP
gsjp-14087	246	26	which	which	PRON
gsjp-14087	246	27	psychological	psychological	ADJ
gsjp-14087	246	28	researchers	researcher	NOUN
gsjp-14087	246	29	can	can	AUX
gsjp-14087	246	30	describe	describe	VERB
gsjp-14087	246	31	and	and	CCONJ
gsjp-14087	246	32	predict	predict	VERB
gsjp-14087	246	33	emotional	emotional	ADJ
gsjp-14087	246	34	distress	distress	NOUN
gsjp-14087	246	35	.	.	PUNCT
gsjp-14087	247	1	references	reference	NOUN
gsjp-14087	247	2	american	american	PROPN
gsjp-14087	247	3	psychological	psychological	PROPN
gsjp-14087	247	4	association	association	PROPN
gsjp-14087	247	5	.	.	PUNCT
gsjp-14087	248	1	(	(	PUNCT
gsjp-14087	248	2	2020	2020	NUM
gsjp-14087	248	3	)	)	PUNCT
gsjp-14087	248	4	.	.	PUNCT
gsjp-14087	249	1	apa	apa	PROPN
gsjp-14087	249	2	guidelines	guideline	NOUN
gsjp-14087	249	3	for	for	ADP
gsjp-14087	249	4	psychological	psychological	ADJ
gsjp-14087	249	5	assessment	assessment	NOUN
gsjp-14087	249	6	and	and	CCONJ
gsjp-14087	249	7	evaluation	evaluation	NOUN
gsjp-14087	249	8	.	.	PUNCT
gsjp-14087	250	1	apa	apa	PROPN
gsjp-14087	250	2	task	task	PROPN
gsjp-14087	250	3	force	force	NOUN
gsjp-14087	250	4	on	on	ADP
gsjp-14087	250	5	psychological	psychological	ADJ
gsjp-14087	250	6	assessment	assessment	NOUN
gsjp-14087	250	7	and	and	CCONJ
gsjp-14087	250	8	evaluation	evaluation	NOUN
gsjp-14087	250	9	guidelines	guideline	NOUN
gsjp-14087	250	10	.	.	PUNCT
gsjp-14087	251	1	https://www	https://www	PROPN
gsjp-14087	251	2	.	.	PUNCT
gsjp-14087	252	1	apa.org/about/policy/guidelines-psychological-assessment-evaluation.pdf	apa.org/about/policy/guidelines-psychological-assessment-evaluation.pdf	PROPN
gsjp-14087	252	2	antony	antony	PROPN
gsjp-14087	252	3	,	,	PUNCT
gsjp-14087	252	4	m.	m.	NOUN
gsjp-14087	252	5	m.	m.	NOUN
gsjp-14087	252	6	,	,	PUNCT
gsjp-14087	252	7	bieling	biele	VERB
gsjp-14087	252	8	,	,	PUNCT
gsjp-14087	252	9	p.	p.	PROPN
gsjp-14087	252	10	j.	j.	PROPN
gsjp-14087	252	11	,	,	PUNCT
gsjp-14087	252	12	cox	cox	PROPN
gsjp-14087	252	13	,	,	PUNCT
gsjp-14087	252	14	b.	b.	PROPN
gsjp-14087	252	15	j.	j.	PROPN
gsjp-14087	252	16	,	,	PUNCT
gsjp-14087	252	17	enns	enns	PROPN
gsjp-14087	252	18	,	,	PUNCT
gsjp-14087	252	19	m.	m.	PROPN
gsjp-14087	252	20	w.	w.	PROPN
gsjp-14087	252	21	,	,	PUNCT
gsjp-14087	252	22	&	&	CCONJ
gsjp-14087	252	23	swinson	swinson	PROPN
gsjp-14087	252	24	,	,	PUNCT
gsjp-14087	252	25	r.	r.	PROPN
gsjp-14087	252	26	p.	p.	PROPN
gsjp-14087	252	27	(	(	PUNCT
gsjp-14087	252	28	1998	1998	NUM
gsjp-14087	252	29	)	)	PUNCT
gsjp-14087	252	30	.	.	PUNCT
gsjp-14087	253	1	psychometric	psychometric	ADJ
gsjp-14087	253	2	properties	property	NOUN
gsjp-14087	253	3	of	of	ADP
gsjp-14087	253	4	the	the	DET
gsjp-14087	253	5	42	42	NUM
gsjp-14087	253	6	-	-	PUNCT
gsjp-14087	253	7	item	item	NOUN
gsjp-14087	253	8	and	and	CCONJ
gsjp-14087	253	9	21	21	NUM
gsjp-14087	253	10	-	-	PUNCT
gsjp-14087	253	11	item	item	NOUN
gsjp-14087	253	12	versions	version	NOUN
gsjp-14087	253	13	of	of	ADP
gsjp-14087	253	14	the	the	DET
gsjp-14087	253	15	depression	depression	NOUN
gsjp-14087	253	16	anxiety	anxiety	NOUN
gsjp-14087	253	17	stress	stress	NOUN
gsjp-14087	253	18	scales	scale	NOUN
gsjp-14087	253	19	in	in	ADP
gsjp-14087	253	20	clinical	clinical	ADJ
gsjp-14087	253	21	groups	group	NOUN
gsjp-14087	253	22	and	and	CCONJ
gsjp-14087	253	23	a	a	DET
gsjp-14087	253	24	community	community	NOUN
gsjp-14087	253	25	sample	sample	NOUN
gsjp-14087	253	26	.	.	PUNCT
gsjp-14087	254	1	psychological	psychological	ADJ
gsjp-14087	254	2	assessment	assessment	NOUN
gsjp-14087	254	3	,	,	PUNCT
gsjp-14087	254	4	10(2	10(2	NUM
gsjp-14087	254	5	)	)	PUNCT
gsjp-14087	254	6	,	,	PUNCT
gsjp-14087	254	7	176–181	176–181	NUM
gsjp-14087	254	8	.	.	PUNCT
gsjp-14087	255	1	https://doi.org/10.1037/10403590.10.2.176	https://doi.org/10.1037/10403590.10.2.176	PROPN
gsjp-14087	255	2	arias	aria	NOUN
gsjp-14087	255	3	,	,	PUNCT
gsjp-14087	255	4	v.	v.	PROPN
gsjp-14087	255	5	b.	b.	PROPN
gsjp-14087	255	6	,	,	PUNCT
gsjp-14087	255	7	garrido	garrido	PROPN
gsjp-14087	255	8	,	,	PUNCT
gsjp-14087	255	9	l.	l.	PROPN
gsjp-14087	255	10	e.	e.	PROPN
gsjp-14087	255	11	,	,	PUNCT
gsjp-14087	255	12	jenaro	jenaro	PROPN
gsjp-14087	255	13	,	,	PUNCT
gsjp-14087	255	14	c.	c.	PROPN
gsjp-14087	255	15	,	,	PUNCT
gsjp-14087	255	16	martínez	martínez	NOUN
gsjp-14087	255	17	-	-	PUNCT
gsjp-14087	255	18	molina	molina	PROPN
gsjp-14087	255	19	,	,	PUNCT
gsjp-14087	255	20	a.	a.	PROPN
gsjp-14087	255	21	,	,	PUNCT
gsjp-14087	255	22	&	&	CCONJ
gsjp-14087	255	23	arias	arias	PROPN
gsjp-14087	255	24	,	,	PUNCT
gsjp-14087	255	25	b.	b.	PROPN
gsjp-14087	255	26	(	(	PUNCT
gsjp-14087	255	27	2020	2020	NUM
gsjp-14087	255	28	)	)	PUNCT
gsjp-14087	255	29	.	.	PUNCT
gsjp-14087	256	1	a	a	DET
gsjp-14087	256	2	little	little	ADJ
gsjp-14087	256	3	garbage	garbage	NOUN
gsjp-14087	256	4	in	in	ADP
gsjp-14087	256	5	,	,	PUNCT
gsjp-14087	256	6	lots	lot	NOUN
gsjp-14087	256	7	of	of	ADP
gsjp-14087	256	8	garbage	garbage	NOUN
gsjp-14087	256	9	out	out	ADP
gsjp-14087	256	10	:	:	PUNCT
gsjp-14087	256	11	assessing	assess	VERB
gsjp-14087	256	12	the	the	DET
gsjp-14087	256	13	impact	impact	NOUN
gsjp-14087	256	14	of	of	ADP
gsjp-14087	256	15	careless	careless	ADJ
gsjp-14087	256	16	responding	respond	VERB
gsjp-14087	256	17	in	in	ADP
gsjp-14087	256	18	personality	personality	NOUN
gsjp-14087	256	19	survey	survey	NOUN
gsjp-14087	256	20	data	datum	NOUN
gsjp-14087	256	21	.	.	PUNCT
gsjp-14087	257	1	behavior	behavior	NOUN
gsjp-14087	257	2	research	research	NOUN
gsjp-14087	257	3	methods	method	NOUN
gsjp-14087	257	4	,	,	PUNCT
gsjp-14087	257	5	52(6	52(6	NOUN
gsjp-14087	257	6	)	)	PUNCT
gsjp-14087	257	7	,	,	PUNCT
gsjp-14087	257	8	2489–2505	2489–2505	NUM
gsjp-14087	257	9	.	.	PUNCT
gsjp-14087	258	1	https://doi	https://doi	X
gsjp-14087	258	2	.	.	PUNCT
gsjp-14087	258	3	org/10.3758	org/10.3758	NOUN
gsjp-14087	258	4	/	/	SYM
gsjp-14087	258	5	s13428	s13428	PROPN
gsjp-14087	258	6	-	-	PUNCT
gsjp-14087	258	7	020	020	NUM
gsjp-14087	258	8	-	-	PUNCT
gsjp-14087	258	9	01401	01401	NUM
gsjp-14087	258	10	-	-	PUNCT
gsjp-14087	258	11	8	8	NUM
gsjp-14087	258	12	ashley	ashley	NOUN
gsjp-14087	258	13	,	,	PUNCT
gsjp-14087	258	14	m.	m.	NOUN
gsjp-14087	258	15	,	,	PUNCT
gsjp-14087	258	16	&	&	CCONJ
gsjp-14087	258	17	shaughnessy	shaughnessy	PROPN
gsjp-14087	258	18	,	,	PUNCT
gsjp-14087	258	19	k.	k.	PROPN
gsjp-14087	258	20	(	(	PUNCT
gsjp-14087	258	21	2021	2021	NUM
gsjp-14087	258	22	)	)	PUNCT
gsjp-14087	258	23	.	.	PUNCT
gsjp-14087	259	1	predicting	predict	VERB
gsjp-14087	259	2	insufficient	insufficient	ADJ
gsjp-14087	259	3	effort	effort	NOUN
gsjp-14087	259	4	responding	respond	VERB
gsjp-14087	259	5	:	:	PUNCT
gsjp-14087	259	6	the	the	DET
gsjp-14087	259	7	relation	relation	NOUN
gsjp-14087	259	8	between	between	ADP
gsjp-14087	259	9	negative	negative	ADJ
gsjp-14087	259	10	thoughts	thought	NOUN
gsjp-14087	259	11	,	,	PUNCT
gsjp-14087	259	12	emotions	emotion	NOUN
gsjp-14087	259	13	,	,	PUNCT
gsjp-14087	259	14	and	and	CCONJ
gsjp-14087	259	15	online	online	ADJ
gsjp-14087	259	16	survey	survey	NOUN
gsjp-14087	259	17	responses	response	NOUN
gsjp-14087	259	18	.	.	PUNCT
gsjp-14087	260	1	canadian	canadian	ADJ
gsjp-14087	260	2	journal	journal	NOUN
gsjp-14087	260	3	of	of	ADP
gsjp-14087	260	4	behavioural	behavioural	ADJ
gsjp-14087	260	5	science	science	NOUN
gsjp-14087	260	6	/	/	SYM
gsjp-14087	260	7	revue	revue	PROPN
gsjp-14087	260	8	canadienne	canadienne	PROPN
gsjp-14087	260	9	des	des	PROPN
gsjp-14087	260	10	sciences	sciences	PROPN
gsjp-14087	260	11	du	du	PROPN
gsjp-14087	260	12	comportement	comportement	PROPN
gsjp-14087	260	13	,	,	PUNCT
gsjp-14087	260	14	55(3	55(3	NUM
gsjp-14087	260	15	)	)	PUNCT
gsjp-14087	260	16	,	,	PUNCT
gsjp-14087	260	17	198–209	198–209	NUM
gsjp-14087	260	18	https://doi.org/10.1037/	https://doi.org/10.1037/	PROPN
gsjp-14087	260	19	cbs0000308	cbs0000308	ADJ
gsjp-14087	260	20	beaudreau	beaudreau	NOUN
gsjp-14087	260	21	,	,	PUNCT
gsjp-14087	260	22	s.	s.	PROPN
gsjp-14087	260	23	a.	a.	PROPN
gsjp-14087	260	24	,	,	PUNCT
gsjp-14087	260	25	&	&	CCONJ
gsjp-14087	260	26	o’hara	o’hara	PROPN
gsjp-14087	260	27	,	,	PUNCT
gsjp-14087	260	28	r.	r.	PROPN
gsjp-14087	260	29	(	(	PUNCT
gsjp-14087	260	30	2009	2009	NUM
gsjp-14087	260	31	)	)	PUNCT
gsjp-14087	260	32	.	.	PUNCT
gsjp-14087	261	1	the	the	DET
gsjp-14087	261	2	association	association	NOUN
gsjp-14087	261	3	of	of	ADP
gsjp-14087	261	4	anxiety	anxiety	NOUN
gsjp-14087	261	5	and	and	CCONJ
gsjp-14087	261	6	depressive	depressive	ADJ
gsjp-14087	261	7	symptoms	symptom	NOUN
gsjp-14087	261	8	with	with	ADP
gsjp-14087	261	9	cognitive	cognitive	ADJ
gsjp-14087	261	10	performance	performance	NOUN
gsjp-14087	261	11	in	in	ADP
gsjp-14087	261	12	community	community	NOUN
gsjp-14087	261	13	-	-	PUNCT
gsjp-14087	261	14	dwelling	dwell	VERB
gsjp-14087	261	15	older	old	ADJ
gsjp-14087	261	16	adults	adult	NOUN
gsjp-14087	261	17	.	.	PUNCT
gsjp-14087	262	1	psychology	psychology	NOUN
gsjp-14087	262	2	and	and	CCONJ
gsjp-14087	262	3	aging	aging	NOUN
gsjp-14087	262	4	,	,	PUNCT
gsjp-14087	262	5	24(2	24(2	NUM
gsjp-14087	262	6	)	)	PUNCT
gsjp-14087	262	7	,	,	PUNCT
gsjp-14087	262	8	507	507	NUM
gsjp-14087	262	9	–	–	PUNCT
gsjp-14087	262	10	512	512	NUM
gsjp-14087	262	11	.	.	PUNCT
gsjp-14087	263	1	https://doi.org/10.1037/a0016035	https://doi.org/10.1037/a0016035	NUM
gsjp-14087	263	2	bowling	bowling	NOUN
gsjp-14087	263	3	,	,	PUNCT
gsjp-14087	263	4	n.	n.	PROPN
gsjp-14087	263	5	a.	a.	PROPN
gsjp-14087	263	6	,	,	PUNCT
gsjp-14087	263	7	huang	huang	PROPN
gsjp-14087	263	8	,	,	PUNCT
gsjp-14087	263	9	j.	j.	PROPN
gsjp-14087	263	10	l.	l.	PROPN
gsjp-14087	263	11	,	,	PUNCT
gsjp-14087	263	12	bragg	bragg	PROPN
gsjp-14087	263	13	,	,	PUNCT
gsjp-14087	263	14	c.	c.	PROPN
gsjp-14087	263	15	b.	b.	PROPN
gsjp-14087	263	16	,	,	PUNCT
gsjp-14087	263	17	khazon	khazon	PROPN
gsjp-14087	263	18	,	,	PUNCT
gsjp-14087	263	19	s.	s.	PROPN
gsjp-14087	263	20	,	,	PUNCT
gsjp-14087	263	21	liu	liu	PROPN
gsjp-14087	263	22	,	,	PUNCT
gsjp-14087	263	23	m.	m.	NOUN
gsjp-14087	263	24	,	,	PUNCT
gsjp-14087	263	25	&	&	CCONJ
gsjp-14087	263	26	blackmore	blackmore	NOUN
gsjp-14087	263	27	,	,	PUNCT
gsjp-14087	263	28	c.	c.	PROPN
gsjp-14087	263	29	e.	e.	PROPN
gsjp-14087	263	30	(	(	PUNCT
gsjp-14087	263	31	2016	2016	NUM
gsjp-14087	263	32	)	)	PUNCT
gsjp-14087	263	33	.	.	PUNCT
gsjp-14087	264	1	who	who	PRON
gsjp-14087	264	2	cares	care	VERB
gsjp-14087	264	3	and	and	CCONJ
gsjp-14087	264	4	who	who	PRON
gsjp-14087	264	5	is	be	AUX
gsjp-14087	264	6	careless	careless	ADJ
gsjp-14087	264	7	?	?	PUNCT
gsjp-14087	265	1	insufficient	insufficient	ADJ
gsjp-14087	265	2	effort	effort	NOUN
gsjp-14087	265	3	responding	respond	VERB
gsjp-14087	265	4	as	as	ADP
gsjp-14087	265	5	a	a	DET
gsjp-14087	265	6	reflection	reflection	NOUN
gsjp-14087	265	7	of	of	ADP
gsjp-14087	265	8	respondent	respondent	NOUN
gsjp-14087	265	9	personality	personality	NOUN
gsjp-14087	265	10	.	.	PUNCT
gsjp-14087	266	1	journal	journal	NOUN
gsjp-14087	266	2	of	of	ADP
gsjp-14087	266	3	personality	personality	NOUN
gsjp-14087	266	4	and	and	CCONJ
gsjp-14087	266	5	social	social	ADJ
gsjp-14087	266	6	psychology	psychology	NOUN
gsjp-14087	266	7	,	,	PUNCT
gsjp-14087	266	8	111(2	111(2	NUM
gsjp-14087	266	9	)	)	PUNCT
gsjp-14087	266	10	,	,	PUNCT
gsjp-14087	266	11	218	218	NUM
gsjp-14087	266	12	–	–	PUNCT
gsjp-14087	266	13	81	81	NUM
gsjp-14087	266	14	zentner	zentner	NOUN
gsjp-14087	266	15	&	&	CCONJ
gsjp-14087	266	16	yildirim	yildirim	PROPN
gsjp-14087	266	17	-	-	PUNCT
gsjp-14087	266	18	erbasli	erbasli	PROPN
gsjp-14087	266	19	229	229	NUM
gsjp-14087	266	20	.	.	PUNCT
gsjp-14087	267	1	https://doi.org/10.1037/pspp0000085	https://doi.org/10.1037/pspp0000085	PROPN
gsjp-14087	267	2	budiyanto	budiyanto	PROPN
gsjp-14087	267	3	,	,	PUNCT
gsjp-14087	267	4	s.	s.	PROPN
gsjp-14087	267	5	,	,	PUNCT
gsjp-14087	267	6	sihombing	sihombing	NOUN
gsjp-14087	267	7	,	,	PUNCT
gsjp-14087	267	8	h.	h.	PROPN
gsjp-14087	267	9	c.	c.	PROPN
gsjp-14087	267	10	,	,	PUNCT
gsjp-14087	267	11	&	&	CCONJ
gsjp-14087	267	12	rahayu	rahayu	PROPN
gsjp-14087	267	13	,	,	PUNCT
gsjp-14087	267	14	i.	i.	PROPN
gsjp-14087	267	15	m.	m.	PROPN
gsjp-14087	267	16	f.	f.	PROPN
gsjp-14087	267	17	(	(	PUNCT
gsjp-14087	267	18	2019	2019	NUM
gsjp-14087	267	19	)	)	PUNCT
gsjp-14087	267	20	.	.	PUNCT
gsjp-14087	268	1	depression	depression	NOUN
gsjp-14087	268	2	and	and	CCONJ
gsjp-14087	268	3	anxiety	anxiety	NOUN
gsjp-14087	268	4	detection	detection	NOUN
gsjp-14087	268	5	through	through	ADP
gsjp-14087	268	6	the	the	DET
gsjp-14087	268	7	closed	close	VERB
gsjp-14087	268	8	-	-	PUNCT
gsjp-14087	268	9	loop	loop	NOUN
gsjp-14087	268	10	method	method	NOUN
gsjp-14087	268	11	using	use	VERB
gsjp-14087	268	12	dass21	dass21	PROPN
gsjp-14087	268	13	.	.	PUNCT
gsjp-14087	269	1	telkomnika	telkomnika	PROPN
gsjp-14087	269	2	,	,	PUNCT
gsjp-14087	269	3	17(4	17(4	NUM
gsjp-14087	269	4	)	)	PUNCT
gsjp-14087	269	5	,	,	PUNCT
gsjp-14087	269	6	2087–2097	2087–2097	NUM
gsjp-14087	269	7	.	.	PUNCT
gsjp-14087	270	1	https://doi	https://doi	PROPN
gsjp-14087	270	2	.	.	PUNCT
gsjp-14087	270	3	org/10.12928	org/10.12928	PROPN
gsjp-14087	270	4	/	/	SYM
gsjp-14087	270	5	telkomnika.v17i4.12619	telkomnika.v17i4.12619	PROPN
gsjp-14087	270	6	castaneda	castaneda	PROPN
gsjp-14087	270	7	,	,	PUNCT
gsjp-14087	270	8	a.	a.	PROPN
gsjp-14087	270	9	e.	e.	PROPN
gsjp-14087	270	10	,	,	PUNCT
gsjp-14087	270	11	tuulio	tuulio	NOUN
gsjp-14087	270	12	-	-	PUNCT
gsjp-14087	270	13	henriksson	henriksson	NOUN
gsjp-14087	270	14	,	,	PUNCT
gsjp-14087	270	15	a.	a.	NOUN
gsjp-14087	270	16	,	,	PUNCT
gsjp-14087	270	17	marttunen	marttunen	NOUN
gsjp-14087	270	18	,	,	PUNCT
gsjp-14087	270	19	m.	m.	NOUN
gsjp-14087	270	20	,	,	PUNCT
gsjp-14087	270	21	suvisaari	suvisaari	PROPN
gsjp-14087	270	22	,	,	PUNCT
gsjp-14087	270	23	j.	j.	PROPN
gsjp-14087	270	24	,	,	PUNCT
gsjp-14087	270	25	&	&	CCONJ
gsjp-14087	270	26	lönnqvist	lönnqvist	PROPN
gsjp-14087	270	27	,	,	PUNCT
gsjp-14087	270	28	j.	j.	PROPN
gsjp-14087	270	29	(	(	PUNCT
gsjp-14087	270	30	2008	2008	NUM
gsjp-14087	270	31	)	)	PUNCT
gsjp-14087	270	32	.	.	PUNCT
gsjp-14087	271	1	a	a	DET
gsjp-14087	271	2	review	review	NOUN
gsjp-14087	271	3	on	on	ADP
gsjp-14087	271	4	cognitive	cognitive	ADJ
gsjp-14087	271	5	impairments	impairment	NOUN
gsjp-14087	271	6	in	in	ADP
gsjp-14087	271	7	depressive	depressive	ADJ
gsjp-14087	271	8	and	and	CCONJ
gsjp-14087	271	9	anxiety	anxiety	NOUN
gsjp-14087	271	10	disorders	disorder	NOUN
gsjp-14087	271	11	with	with	ADP
gsjp-14087	271	12	a	a	DET
gsjp-14087	271	13	focus	focus	NOUN
gsjp-14087	271	14	on	on	ADP
gsjp-14087	271	15	young	young	ADJ
gsjp-14087	271	16	adults	adult	NOUN
gsjp-14087	271	17	.	.	PUNCT
gsjp-14087	272	1	journal	journal	NOUN
gsjp-14087	272	2	of	of	ADP
gsjp-14087	272	3	affective	affective	ADJ
gsjp-14087	272	4	disorders	disorder	NOUN
gsjp-14087	272	5	,	,	PUNCT
gsjp-14087	272	6	106(1	106(1	NUM
gsjp-14087	272	7	-	-	SYM
gsjp-14087	272	8	2	2	NUM
gsjp-14087	272	9	)	)	PUNCT
gsjp-14087	272	10	,	,	PUNCT
gsjp-14087	272	11	1–27	1–27	PROPN
gsjp-14087	272	12	.	.	PUNCT
gsjp-14087	273	1	https://	https://	PROPN
gsjp-14087	273	2	doi.org/10.1016/j.jad.2007.06.006	doi.org/10.1016/j.jad.2007.06.006	PROPN
gsjp-14087	273	3	castaneda	castaneda	PROPN
gsjp-14087	273	4	,	,	PUNCT
gsjp-14087	273	5	a.	a.	PROPN
gsjp-14087	273	6	e.	e.	PROPN
gsjp-14087	273	7	,	,	PUNCT
gsjp-14087	273	8	suvisaari	suvisaari	PROPN
gsjp-14087	273	9	,	,	PUNCT
gsjp-14087	273	10	j.	j.	PROPN
gsjp-14087	273	11	,	,	PUNCT
gsjp-14087	273	12	marttunen	marttunen	NOUN
gsjp-14087	273	13	,	,	PUNCT
gsjp-14087	273	14	m.	m.	NOUN
gsjp-14087	273	15	,	,	PUNCT
gsjp-14087	273	16	perälä	perälä	ADJ
gsjp-14087	273	17	,	,	PUNCT
gsjp-14087	273	18	j.	j.	PROPN
gsjp-14087	273	19	,	,	PUNCT
gsjp-14087	273	20	saarni	saarni	PROPN
gsjp-14087	273	21	,	,	PUNCT
gsjp-14087	273	22	s.	s.	PROPN
gsjp-14087	273	23	i.	i.	PROPN
gsjp-14087	273	24	,	,	PUNCT
gsjp-14087	273	25	aalto	aalto	PROPN
gsjp-14087	273	26	-	-	PUNCT
gsjp-14087	273	27	setälä	setälä	NOUN
gsjp-14087	273	28	,	,	PUNCT
gsjp-14087	273	29	t.	t.	NOUN
gsjp-14087	273	30	,	,	PUNCT
gsjp-14087	273	31	lönnqvist	lönnqvist	PROPN
gsjp-14087	273	32	,	,	PUNCT
gsjp-14087	273	33	j.	j.	PROPN
gsjp-14087	273	34	,	,	PUNCT
gsjp-14087	273	35	&	&	CCONJ
gsjp-14087	273	36	tuulio	tuulio	PROPN
gsjp-14087	273	37	-	-	PUNCT
gsjp-14087	273	38	henriksson	henriksson	NOUN
gsjp-14087	273	39	,	,	PUNCT
gsjp-14087	273	40	a.	a.	NOUN
gsjp-14087	273	41	(	(	PUNCT
gsjp-14087	273	42	2011	2011	NUM
gsjp-14087	273	43	)	)	PUNCT
gsjp-14087	273	44	.	.	PUNCT
gsjp-14087	274	1	cognitive	cognitive	ADJ
gsjp-14087	274	2	functioning	function	VERB
gsjp-14087	274	3	in	in	ADP
gsjp-14087	274	4	a	a	DET
gsjp-14087	274	5	population	population	NOUN
gsjp-14087	274	6	-	-	PUNCT
gsjp-14087	274	7	based	base	VERB
gsjp-14087	274	8	sample	sample	NOUN
gsjp-14087	274	9	of	of	ADP
gsjp-14087	274	10	young	young	ADJ
gsjp-14087	274	11	adults	adult	NOUN
gsjp-14087	274	12	with	with	ADP
gsjp-14087	274	13	anxiety	anxiety	NOUN
gsjp-14087	274	14	disorders	disorder	NOUN
gsjp-14087	274	15	.	.	PUNCT
gsjp-14087	275	1	european	european	ADJ
gsjp-14087	275	2	psychiatry	psychiatry	PROPN
gsjp-14087	275	3	,	,	PUNCT
gsjp-14087	275	4	26(6	26(6	NUM
gsjp-14087	275	5	)	)	PUNCT
gsjp-14087	275	6	,	,	PUNCT
gsjp-14087	275	7	346–353	346–353	NUM
gsjp-14087	275	8	.	.	PUNCT
gsjp-14087	276	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
gsjp-14087	276	2	.	.	PUNCT
gsjp-14087	277	1	eurpsy.2009.11.006	eurpsy.2009.11.006	DET
gsjp-14087	277	2	conijn	conijn	NOUN
gsjp-14087	277	3	,	,	PUNCT
gsjp-14087	277	4	j.	j.	PROPN
gsjp-14087	277	5	m.	m.	PROPN
gsjp-14087	277	6	,	,	PUNCT
gsjp-14087	277	7	emons	emon	NOUN
gsjp-14087	277	8	,	,	PUNCT
gsjp-14087	277	9	w.	w.	PROPN
gsjp-14087	277	10	h.	h.	PROPN
gsjp-14087	277	11	m.	m.	PROPN
gsjp-14087	277	12	,	,	PUNCT
gsjp-14087	277	13	de	de	PROPN
gsjp-14087	277	14	jong	jong	PROPN
gsjp-14087	277	15	,	,	PUNCT
gsjp-14087	277	16	k.	k.	PROPN
gsjp-14087	277	17	,	,	PUNCT
gsjp-14087	277	18	&	&	CCONJ
gsjp-14087	277	19	sijtsma	sijtsma	PROPN
gsjp-14087	277	20	,	,	PUNCT
gsjp-14087	277	21	k.	k.	PROPN
gsjp-14087	277	22	(	(	PUNCT
gsjp-14087	277	23	2015	2015	NUM
gsjp-14087	277	24	)	)	PUNCT
gsjp-14087	277	25	.	.	PUNCT
gsjp-14087	278	1	detecting	detect	VERB
gsjp-14087	278	2	and	and	CCONJ
gsjp-14087	278	3	explaining	explain	VERB
gsjp-14087	278	4	aberrant	aberrant	NOUN
gsjp-14087	278	5	responding	respond	VERB
gsjp-14087	278	6	to	to	ADP
gsjp-14087	278	7	the	the	DET
gsjp-14087	278	8	outcome	outcome	NOUN
gsjp-14087	278	9	questionnaire-45	questionnaire-45	PROPN
gsjp-14087	278	10	.	.	PROPN
gsjp-14087	278	11	assessment	assessment	NOUN
gsjp-14087	278	12	,	,	PUNCT
gsjp-14087	278	13	22(4	22(4	NUM
gsjp-14087	278	14	)	)	PUNCT
gsjp-14087	278	15	,	,	PUNCT
gsjp-14087	278	16	513–524	513–524	NUM
gsjp-14087	278	17	.	.	PUNCT
gsjp-14087	279	1	https://doi	https://doi	PROPN
gsjp-14087	279	2	.	.	PROPN
gsjp-14087	279	3	org/10.1177/1073191114560882	org/10.1177/1073191114560882	PROPN
gsjp-14087	279	4	conijn	conijn	NOUN
gsjp-14087	279	5	,	,	PUNCT
gsjp-14087	279	6	j.	j.	PROPN
gsjp-14087	279	7	m.	m.	PROPN
gsjp-14087	279	8	,	,	PUNCT
gsjp-14087	279	9	emons	emon	NOUN
gsjp-14087	279	10	,	,	PUNCT
gsjp-14087	279	11	w.	w.	PROPN
gsjp-14087	279	12	h.	h.	PROPN
gsjp-14087	279	13	m.	m.	PROPN
gsjp-14087	279	14	,	,	PUNCT
gsjp-14087	279	15	page	page	NOUN
gsjp-14087	279	16	,	,	PUNCT
gsjp-14087	279	17	b.	b.	PROPN
gsjp-14087	279	18	f.	f.	PROPN
gsjp-14087	279	19	,	,	PUNCT
gsjp-14087	279	20	sijtsma	sijtsma	NOUN
gsjp-14087	279	21	,	,	PUNCT
gsjp-14087	279	22	k.	k.	PROPN
gsjp-14087	279	23	,	,	PUNCT
gsjp-14087	279	24	van	van	PROPN
gsjp-14087	279	25	der	der	NOUN
gsjp-14087	279	26	does	do	VERB
gsjp-14087	279	27	,	,	PUNCT
gsjp-14087	279	28	w.	w.	NOUN
gsjp-14087	279	29	,	,	PUNCT
gsjp-14087	279	30	carlier	carlier	NOUN
gsjp-14087	279	31	,	,	PUNCT
gsjp-14087	279	32	i.	i.	PROPN
gsjp-14087	279	33	v.	v.	PROPN
gsjp-14087	279	34	e.	e.	PROPN
gsjp-14087	279	35	,	,	PUNCT
gsjp-14087	279	36	&	&	CCONJ
gsjp-14087	279	37	giltay	giltay	PROPN
gsjp-14087	279	38	,	,	PUNCT
gsjp-14087	279	39	e.	e.	PROPN
gsjp-14087	279	40	j.	j.	PROPN
gsjp-14087	279	41	(	(	PUNCT
gsjp-14087	279	42	2018	2018	NUM
gsjp-14087	279	43	)	)	PUNCT
gsjp-14087	279	44	.	.	PUNCT
gsjp-14087	280	1	response	response	NOUN
gsjp-14087	280	2	inconsistency	inconsistency	NOUN
gsjp-14087	280	3	of	of	ADP
gsjp-14087	280	4	patient	patient	NOUN
gsjp-14087	280	5	-	-	PUNCT
gsjp-14087	280	6	reported	report	VERB
gsjp-14087	280	7	symptoms	symptom	NOUN
gsjp-14087	280	8	as	as	ADP
gsjp-14087	280	9	a	a	DET
gsjp-14087	280	10	predictor	predictor	NOUN
gsjp-14087	280	11	of	of	ADP
gsjp-14087	280	12	discrepancy	discrepancy	NOUN
gsjp-14087	280	13	between	between	ADP
gsjp-14087	280	14	patient	patient	NOUN
gsjp-14087	280	15	and	and	CCONJ
gsjp-14087	280	16	clinician	clinician	NOUN
gsjp-14087	280	17	-	-	PUNCT
gsjp-14087	280	18	reported	report	VERB
gsjp-14087	280	19	depression	depression	NOUN
gsjp-14087	280	20	severity	severity	NOUN
gsjp-14087	280	21	.	.	PUNCT
gsjp-14087	281	1	assessment	assessment	NOUN
gsjp-14087	281	2	,	,	PUNCT
gsjp-14087	281	3	25(7	25(7	NUM
gsjp-14087	281	4	)	)	PUNCT
gsjp-14087	281	5	,	,	PUNCT
gsjp-14087	281	6	917–928	917–928	NUM
gsjp-14087	281	7	.	.	PUNCT
gsjp-14087	282	1	https://doi	https://doi	NOUN
gsjp-14087	282	2	.	.	PUNCT
gsjp-14087	282	3	org/10.1177/1073191116666949	org/10.1177/1073191116666949	PROPN
gsjp-14087	282	4	conijn	conijn	PROPN
gsjp-14087	282	5	,	,	PUNCT
gsjp-14087	282	6	j.	j.	PROPN
gsjp-14087	282	7	m.	m.	PROPN
gsjp-14087	282	8	,	,	PUNCT
gsjp-14087	282	9	van	van	PROPN
gsjp-14087	282	10	der	der	PROPN
gsjp-14087	282	11	ark	ark	PROPN
gsjp-14087	282	12	,	,	PUNCT
gsjp-14087	282	13	l.	l.	PROPN
gsjp-14087	282	14	a.	a.	PROPN
gsjp-14087	282	15	,	,	PUNCT
gsjp-14087	282	16	&	&	CCONJ
gsjp-14087	282	17	spinhoven	spinhoven	PROPN
gsjp-14087	282	18	,	,	PUNCT
gsjp-14087	282	19	p.	p.	NOUN
gsjp-14087	282	20	(	(	PUNCT
gsjp-14087	282	21	2020	2020	NUM
gsjp-14087	282	22	)	)	PUNCT
gsjp-14087	282	23	.	.	PUNCT
gsjp-14087	283	1	satisficing	satisfice	VERB
gsjp-14087	283	2	in	in	ADP
gsjp-14087	283	3	mental	mental	ADJ
gsjp-14087	283	4	health	health	NOUN
gsjp-14087	283	5	care	care	NOUN
gsjp-14087	283	6	patients	patient	NOUN
gsjp-14087	283	7	:	:	PUNCT
gsjp-14087	283	8	the	the	DET
gsjp-14087	283	9	effect	effect	NOUN
gsjp-14087	283	10	of	of	ADP
gsjp-14087	283	11	cognitive	cognitive	ADJ
gsjp-14087	283	12	symptoms	symptom	NOUN
gsjp-14087	283	13	on	on	ADP
gsjp-14087	283	14	self	self	NOUN
gsjp-14087	283	15	-	-	PUNCT
gsjp-14087	283	16	report	report	NOUN
gsjp-14087	283	17	data	datum	NOUN
gsjp-14087	283	18	quality	quality	NOUN
gsjp-14087	283	19	.	.	PUNCT
gsjp-14087	284	1	assessment	assessment	NOUN
gsjp-14087	284	2	,	,	PUNCT
gsjp-14087	284	3	27(1	27(1	NUM
gsjp-14087	284	4	)	)	PUNCT
gsjp-14087	284	5	,	,	PUNCT
gsjp-14087	284	6	178–193	178–193	NUM
gsjp-14087	284	7	.	.	PUNCT
gsjp-14087	285	1	https://	https://	PROPN
gsjp-14087	285	2	doi.org/10.1177/1073191117714557	doi.org/10.1177/1073191117714557	PROPN
gsjp-14087	285	3	cuijpers	cuijper	NOUN
gsjp-14087	285	4	,	,	PUNCT
gsjp-14087	285	5	p.	p.	PROPN
gsjp-14087	285	6	,	,	PUNCT
gsjp-14087	285	7	li	li	PROPN
gsjp-14087	285	8	,	,	PUNCT
gsjp-14087	285	9	j.	j.	PROPN
gsjp-14087	285	10	,	,	PUNCT
gsjp-14087	285	11	hofmann	hofmann	PROPN
gsjp-14087	285	12	,	,	PUNCT
gsjp-14087	285	13	s.	s.	PROPN
gsjp-14087	285	14	g.	g.	PROPN
gsjp-14087	285	15	,	,	PUNCT
gsjp-14087	285	16	&	&	CCONJ
gsjp-14087	285	17	andersson	andersson	PROPN
gsjp-14087	285	18	,	,	PUNCT
gsjp-14087	285	19	g.	g.	PROPN
gsjp-14087	285	20	(	(	PUNCT
gsjp-14087	285	21	2010	2010	NUM
gsjp-14087	285	22	)	)	PUNCT
gsjp-14087	285	23	.	.	PUNCT
gsjp-14087	286	1	self	self	NOUN
gsjp-14087	286	2	-	-	PUNCT
gsjp-14087	286	3	reported	report	VERB
gsjp-14087	286	4	versus	versus	ADP
gsjp-14087	286	5	clinician	clinician	NOUN
gsjp-14087	286	6	-	-	PUNCT
gsjp-14087	286	7	rated	rate	VERB
gsjp-14087	286	8	symptoms	symptom	NOUN
gsjp-14087	286	9	of	of	ADP
gsjp-14087	286	10	depression	depression	NOUN
gsjp-14087	286	11	as	as	ADP
gsjp-14087	286	12	outcome	outcome	NOUN
gsjp-14087	286	13	measures	measure	NOUN
gsjp-14087	286	14	in	in	ADP
gsjp-14087	286	15	psychotherapy	psychotherapy	NOUN
gsjp-14087	286	16	research	research	NOUN
gsjp-14087	286	17	on	on	ADP
gsjp-14087	286	18	depression	depression	NOUN
gsjp-14087	286	19	:	:	PUNCT
gsjp-14087	286	20	a	a	DET
gsjp-14087	286	21	meta	meta	ADJ
gsjp-14087	286	22	-	-	PUNCT
gsjp-14087	286	23	analysis	analysis	NOUN
gsjp-14087	286	24	.	.	PUNCT
gsjp-14087	287	1	clinical	clinical	ADJ
gsjp-14087	287	2	psychology	psychology	NOUN
gsjp-14087	287	3	review	review	NOUN
gsjp-14087	287	4	,	,	PUNCT
gsjp-14087	287	5	30(6	30(6	NUM
gsjp-14087	287	6	)	)	PUNCT
gsjp-14087	287	7	,	,	PUNCT
gsjp-14087	287	8	768–778	768–778	NUM
gsjp-14087	287	9	.	.	PUNCT
gsjp-14087	288	1	https://doi.org/10.1016/j.cpr.2010.06.001	https://doi.org/10.1016/j.cpr.2010.06.001	PROPN
gsjp-14087	288	2	curran	curran	PROPN
gsjp-14087	288	3	,	,	PUNCT
gsjp-14087	288	4	p.	p.	NOUN
gsjp-14087	288	5	g.	g.	PROPN
gsjp-14087	288	6	(	(	PUNCT
gsjp-14087	288	7	2016	2016	NUM
gsjp-14087	288	8	)	)	PUNCT
gsjp-14087	288	9	.	.	PUNCT
gsjp-14087	289	1	methods	method	NOUN
gsjp-14087	289	2	for	for	ADP
gsjp-14087	289	3	the	the	DET
gsjp-14087	289	4	detection	detection	NOUN
gsjp-14087	289	5	of	of	ADP
gsjp-14087	289	6	carelessly	carelessly	ADV
gsjp-14087	289	7	invalid	invalid	ADJ
gsjp-14087	289	8	responses	response	NOUN
gsjp-14087	289	9	in	in	ADP
gsjp-14087	289	10	survey	survey	NOUN
gsjp-14087	289	11	data	datum	NOUN
gsjp-14087	289	12	.	.	PUNCT
gsjp-14087	290	1	journal	journal	PROPN
gsjp-14087	290	2	of	of	ADP
gsjp-14087	290	3	experimental	experimental	ADJ
gsjp-14087	290	4	social	social	ADJ
gsjp-14087	290	5	psychology	psychology	NOUN
gsjp-14087	290	6	,	,	PUNCT
gsjp-14087	290	7	66	66	NUM
gsjp-14087	290	8	,	,	PUNCT
gsjp-14087	290	9	4–19	4–19	NOUN
gsjp-14087	290	10	.	.	PUNCT
gsjp-14087	290	11	https://doi.org/10.1016/j.jesp.2015.07.006	https://doi.org/10.1016/j.jesp.2015.07.006	PROPN
gsjp-14087	290	12	eysenck	eysenck	NOUN
gsjp-14087	290	13	,	,	PUNCT
gsjp-14087	290	14	m.	m.	PROPN
gsjp-14087	290	15	w.	w.	PROPN
gsjp-14087	290	16	,	,	PUNCT
gsjp-14087	290	17	derakshan	derakshan	ADJ
gsjp-14087	290	18	,	,	PUNCT
gsjp-14087	290	19	n.	n.	NOUN
gsjp-14087	290	20	,	,	PUNCT
gsjp-14087	290	21	santos	santos	PROPN
gsjp-14087	290	22	,	,	PUNCT
gsjp-14087	290	23	r.	r.	PROPN
gsjp-14087	290	24	,	,	PUNCT
gsjp-14087	290	25	&	&	CCONJ
gsjp-14087	290	26	calvo	calvo	PROPN
gsjp-14087	290	27	,	,	PUNCT
gsjp-14087	290	28	m.	m.	NOUN
gsjp-14087	290	29	g.	g.	PROPN
gsjp-14087	290	30	(	(	PUNCT
gsjp-14087	290	31	2007	2007	NUM
gsjp-14087	290	32	)	)	PUNCT
gsjp-14087	290	33	.	.	PUNCT
gsjp-14087	291	1	anxiety	anxiety	NOUN
gsjp-14087	291	2	and	and	CCONJ
gsjp-14087	291	3	cognitive	cognitive	ADJ
gsjp-14087	291	4	performance	performance	NOUN
gsjp-14087	291	5	:	:	PUNCT
gsjp-14087	291	6	attentional	attentional	ADJ
gsjp-14087	291	7	control	control	NOUN
gsjp-14087	291	8	theory	theory	NOUN
gsjp-14087	291	9	.	.	PUNCT
gsjp-14087	292	1	emotion	emotion	NOUN
gsjp-14087	292	2	,	,	PUNCT
gsjp-14087	292	3	7(2	7(2	NUM
gsjp-14087	292	4	)	)	PUNCT
gsjp-14087	292	5	,	,	PUNCT
gsjp-14087	292	6	336	336	NUM
gsjp-14087	292	7	–	–	PUNCT
gsjp-14087	292	8	353	353	NUM
gsjp-14087	292	9	.	.	PUNCT
gsjp-14087	293	1	https://doi.org/10.1037/1528-3542.7.2.336	https://doi.org/10.1037/1528-3542.7.2.336	PROPN
gsjp-14087	293	2	ferreri	ferreri	PROPN
gsjp-14087	293	3	,	,	PUNCT
gsjp-14087	293	4	f.	f.	PROPN
gsjp-14087	293	5	,	,	PUNCT
gsjp-14087	293	6	lapp	lapp	PROPN
gsjp-14087	293	7	,	,	PUNCT
gsjp-14087	293	8	l.	l.	PROPN
gsjp-14087	293	9	k.	k.	PROPN
gsjp-14087	293	10	,	,	PUNCT
gsjp-14087	293	11	&	&	CCONJ
gsjp-14087	293	12	peretti	peretti	PROPN
gsjp-14087	293	13	,	,	PUNCT
gsjp-14087	293	14	c.	c.	PROPN
gsjp-14087	293	15	s.	s.	PROPN
gsjp-14087	293	16	(	(	PUNCT
gsjp-14087	293	17	2011	2011	NUM
gsjp-14087	293	18	)	)	PUNCT
gsjp-14087	293	19	.	.	PUNCT
gsjp-14087	294	1	current	current	ADJ
gsjp-14087	294	2	research	research	NOUN
gsjp-14087	294	3	on	on	ADP
gsjp-14087	294	4	cognitive	cognitive	ADJ
gsjp-14087	294	5	aspects	aspect	NOUN
gsjp-14087	294	6	of	of	ADP
gsjp-14087	294	7	anxiety	anxiety	NOUN
gsjp-14087	294	8	disorders	disorder	NOUN
gsjp-14087	294	9	.	.	PUNCT
gsjp-14087	295	1	current	current	ADJ
gsjp-14087	295	2	opinion	opinion	NOUN
gsjp-14087	295	3	in	in	ADP
gsjp-14087	295	4	psychiatry	psychiatry	NOUN
gsjp-14087	295	5	,	,	PUNCT
gsjp-14087	295	6	24(1	24(1	NUM
gsjp-14087	295	7	)	)	PUNCT
gsjp-14087	295	8	,	,	PUNCT
gsjp-14087	295	9	49–54	49–54	NUM
gsjp-14087	295	10	.	.	PUNCT
gsjp-14087	296	1	https://doi.org/10.1097/	https://doi.org/10.1097/	NOUN
gsjp-14087	296	2	yco.0b013e32833f5585	yco.0b013e32833f5585	NOUN
gsjp-14087	296	3	forbey	forbey	NOUN
gsjp-14087	296	4	,	,	PUNCT
gsjp-14087	296	5	j.	j.	PROPN
gsjp-14087	296	6	d.	d.	PROPN
gsjp-14087	296	7	,	,	PUNCT
gsjp-14087	296	8	ben	ben	PROPN
gsjp-14087	296	9	-	-	PUNCT
gsjp-14087	296	10	porath	porath	PROPN
gsjp-14087	296	11	,	,	PUNCT
gsjp-14087	296	12	y.	y.	PROPN
gsjp-14087	296	13	s.	s.	PROPN
gsjp-14087	296	14	,	,	PUNCT
gsjp-14087	296	15	&	&	CCONJ
gsjp-14087	296	16	arbisi	arbisi	VERB
gsjp-14087	296	17	,	,	PUNCT
gsjp-14087	296	18	p.	p.	NOUN
gsjp-14087	296	19	a.	a.	NOUN
gsjp-14087	297	1	(	(	PUNCT
gsjp-14087	297	2	2012	2012	NUM
gsjp-14087	297	3	)	)	PUNCT
gsjp-14087	297	4	.	.	PUNCT
gsjp-14087	298	1	the	the	DET
gsjp-14087	298	2	mmpi–2	mmpi–2	PROPN
gsjp-14087	298	3	computerized	computerize	VERB
gsjp-14087	298	4	adaptive	adaptive	ADJ
gsjp-14087	298	5	version	version	NOUN
gsjp-14087	298	6	(	(	PUNCT
gsjp-14087	298	7	mmpi–2	mmpi–2	PROPN
gsjp-14087	298	8	–	–	PUNCT
gsjp-14087	298	9	ca	ca	NOUN
gsjp-14087	298	10	)	)	PUNCT
gsjp-14087	298	11	in	in	ADP
gsjp-14087	298	12	a	a	DET
gsjp-14087	298	13	veterans	veterans	PROPN
gsjp-14087	298	14	administration	administration	PROPN
gsjp-14087	298	15	medical	medical	ADJ
gsjp-14087	298	16	outpatient	outpatient	NOUN
gsjp-14087	298	17	facility	facility	NOUN
gsjp-14087	298	18	.	.	PUNCT
gsjp-14087	299	1	psychological	psychological	ADJ
gsjp-14087	299	2	assessment	assessment	NOUN
gsjp-14087	299	3	,	,	PUNCT
gsjp-14087	299	4	24(3	24(3	NUM
gsjp-14087	299	5	)	)	PUNCT
gsjp-14087	299	6	,	,	PUNCT
gsjp-14087	299	7	628–639	628–639	NUM
gsjp-14087	299	8	.	.	PUNCT
gsjp-14087	300	1	https://doi.org/10.1037/	https://doi.org/10.1037/	PROPN
gsjp-14087	300	2	a0026509	a0026509	NOUN
gsjp-14087	300	3	funke	funke	PROPN
gsjp-14087	300	4	,	,	PUNCT
gsjp-14087	300	5	f.	f.	PROPN
gsjp-14087	300	6	(	(	PUNCT
gsjp-14087	300	7	2016	2016	NUM
gsjp-14087	300	8	)	)	PUNCT
gsjp-14087	300	9	.	.	PUNCT
gsjp-14087	301	1	a	a	DET
gsjp-14087	301	2	web	web	NOUN
gsjp-14087	301	3	experiment	experiment	NOUN
gsjp-14087	301	4	showing	show	VERB
gsjp-14087	301	5	negative	negative	ADJ
gsjp-14087	301	6	effects	effect	NOUN
gsjp-14087	301	7	of	of	ADP
gsjp-14087	301	8	slider	slider	NOUN
gsjp-14087	301	9	scales	scale	NOUN
gsjp-14087	301	10	compared	compare	VERB
gsjp-14087	301	11	to	to	ADP
gsjp-14087	301	12	visual	visual	ADJ
gsjp-14087	301	13	analogue	analogue	NOUN
gsjp-14087	301	14	scales	scale	NOUN
gsjp-14087	301	15	and	and	CCONJ
gsjp-14087	301	16	radio	radio	NOUN
gsjp-14087	301	17	button	button	NOUN
gsjp-14087	301	18	scales	scale	NOUN
gsjp-14087	301	19	.	.	PUNCT
gsjp-14087	302	1	social	social	ADJ
gsjp-14087	302	2	science	science	PROPN
gsjp-14087	302	3	computer	computer	NOUN
gsjp-14087	302	4	review	review	PROPN
gsjp-14087	302	5	,	,	PUNCT
gsjp-14087	302	6	34(2	34(2	NUM
gsjp-14087	302	7	)	)	PUNCT
gsjp-14087	302	8	,	,	PUNCT
gsjp-14087	302	9	244–254	244–254	NUM
gsjp-14087	302	10	.	.	PUNCT
gsjp-14087	303	1	https://doi	https://doi	PROPN
gsjp-14087	303	2	.	.	PUNCT
gsjp-14087	303	3	org/10.1177/0894439315575477	org/10.1177/0894439315575477	PROPN
gsjp-14087	303	4	gotlib	gotlib	PROPN
gsjp-14087	303	5	,	,	PUNCT
gsjp-14087	303	6	i.	i.	PROPN
gsjp-14087	303	7	h.	h.	PROPN
gsjp-14087	303	8	,	,	PUNCT
gsjp-14087	303	9	&	&	CCONJ
gsjp-14087	303	10	joormann	joormann	PROPN
gsjp-14087	303	11	,	,	PUNCT
gsjp-14087	303	12	j.	j.	PROPN
gsjp-14087	303	13	(	(	PUNCT
gsjp-14087	303	14	2010	2010	NUM
gsjp-14087	303	15	)	)	PUNCT
gsjp-14087	303	16	.	.	PUNCT
gsjp-14087	304	1	cognition	cognition	NOUN
gsjp-14087	304	2	and	and	CCONJ
gsjp-14087	304	3	depression	depression	NOUN
gsjp-14087	304	4	:	:	PUNCT
gsjp-14087	304	5	current	current	ADJ
gsjp-14087	304	6	status	status	NOUN
gsjp-14087	304	7	and	and	CCONJ
gsjp-14087	304	8	future	future	ADJ
gsjp-14087	304	9	directions	direction	NOUN
gsjp-14087	304	10	.	.	PUNCT
gsjp-14087	305	1	annual	annual	ADJ
gsjp-14087	305	2	review	review	NOUN
gsjp-14087	305	3	of	of	ADP
gsjp-14087	305	4	clinical	clinical	ADJ
gsjp-14087	305	5	psychology	psychology	NOUN
gsjp-14087	305	6	,	,	PUNCT
gsjp-14087	305	7	6	6	NUM
gsjp-14087	305	8	,	,	PUNCT
gsjp-14087	305	9	285–312	285–312	NUM
gsjp-14087	305	10	.	.	PUNCT
gsjp-14087	306	1	https://doi.org/10.1146/annurev.clinpsy.121208.131305	https://doi.org/10.1146/annurev.clinpsy.121208.131305	PROPN
gsjp-14087	306	2	gross	gross	PROPN
gsjp-14087	306	3	,	,	PUNCT
gsjp-14087	306	4	j.	j.	PROPN
gsjp-14087	306	5	j.	j.	PROPN
gsjp-14087	306	6	(	(	PUNCT
gsjp-14087	306	7	2015	2015	NUM
gsjp-14087	306	8	)	)	PUNCT
gsjp-14087	306	9	.	.	PUNCT
gsjp-14087	307	1	emotion	emotion	NOUN
gsjp-14087	307	2	regulation	regulation	NOUN
gsjp-14087	307	3	:	:	PUNCT
gsjp-14087	307	4	current	current	ADJ
gsjp-14087	307	5	status	status	NOUN
gsjp-14087	307	6	and	and	CCONJ
gsjp-14087	307	7	future	future	ADJ
gsjp-14087	307	8	prospects	prospect	NOUN
gsjp-14087	307	9	.	.	PUNCT
gsjp-14087	308	1	psychological	psychological	ADJ
gsjp-14087	308	2	inquiry	inquiry	NOUN
gsjp-14087	308	3	,	,	PUNCT
gsjp-14087	308	4	26(1	26(1	NUM
gsjp-14087	308	5	)	)	PUNCT
gsjp-14087	308	6	,	,	PUNCT
gsjp-14087	308	7	1–26	1–26	NOUN
gsjp-14087	308	8	.	.	PUNCT
gsjp-14087	309	1	https://doi.org/10.1080/104784	https://doi.org/10.1080/104784	NOUN
gsjp-14087	309	2	0x.2014.940781	0x.2014.940781	NUM
gsjp-14087	309	3	gummer	gummer	NOUN
gsjp-14087	309	4	,	,	PUNCT
gsjp-14087	309	5	t.	t.	PROPN
gsjp-14087	309	6	,	,	PUNCT
gsjp-14087	309	7	&	&	CCONJ
gsjp-14087	309	8	roßmann	roßmann	PROPN
gsjp-14087	309	9	,	,	PUNCT
gsjp-14087	309	10	j.	j.	PROPN
gsjp-14087	309	11	(	(	PUNCT
gsjp-14087	309	12	2015	2015	NUM
gsjp-14087	309	13	)	)	PUNCT
gsjp-14087	309	14	.	.	PUNCT
gsjp-14087	310	1	explaining	explain	VERB
gsjp-14087	310	2	interview	interview	NOUN
gsjp-14087	310	3	duration	duration	NOUN
gsjp-14087	310	4	in	in	ADP
gsjp-14087	310	5	web	web	NOUN
gsjp-14087	310	6	surveys	survey	NOUN
gsjp-14087	310	7	:	:	PUNCT
gsjp-14087	310	8	a	a	DET
gsjp-14087	310	9	multilevel	multilevel	ADJ
gsjp-14087	310	10	approach	approach	NOUN
gsjp-14087	310	11	.	.	PUNCT
gsjp-14087	311	1	social	social	ADJ
gsjp-14087	311	2	science	science	PROPN
gsjp-14087	311	3	computer	computer	NOUN
gsjp-14087	311	4	review	review	NOUN
gsjp-14087	311	5	,	,	PUNCT
gsjp-14087	311	6	33(2	33(2	NUM
gsjp-14087	311	7	)	)	PUNCT
gsjp-14087	311	8	,	,	PUNCT
gsjp-14087	311	9	217–234	217–234	NUM
gsjp-14087	311	10	.	.	PUNCT
gsjp-14087	312	1	https://doi	https://doi	NOUN
gsjp-14087	312	2	.	.	PUNCT
gsjp-14087	312	3	org/10.1177/0894439314533479	org/10.1177/0894439314533479	PROPN
gsjp-14087	312	4	guo	guo	PROPN
gsjp-14087	312	5	,	,	PUNCT
gsjp-14087	312	6	h.	h.	PROPN
gsjp-14087	312	7	,	,	PUNCT
gsjp-14087	312	8	rios	rios	PROPN
gsjp-14087	312	9	,	,	PUNCT
gsjp-14087	312	10	j.	j.	PROPN
gsjp-14087	312	11	a.	a.	PROPN
gsjp-14087	312	12	,	,	PUNCT
gsjp-14087	312	13	haberman	haberman	PROPN
gsjp-14087	312	14	,	,	PUNCT
gsjp-14087	312	15	s.	s.	PROPN
gsjp-14087	312	16	,	,	PUNCT
gsjp-14087	312	17	liu	liu	PROPN
gsjp-14087	312	18	,	,	PUNCT
gsjp-14087	312	19	o.	o.	PROPN
gsjp-14087	312	20	l.	l.	PROPN
gsjp-14087	312	21	,	,	PUNCT
gsjp-14087	312	22	wang	wang	PROPN
gsjp-14087	312	23	,	,	PUNCT
gsjp-14087	312	24	j.	j.	PROPN
gsjp-14087	312	25	,	,	PUNCT
gsjp-14087	312	26	&	&	CCONJ
gsjp-14087	312	27	paek	paek	PROPN
gsjp-14087	312	28	,	,	PUNCT
gsjp-14087	312	29	i.	i.	PROPN
gsjp-14087	312	30	(	(	PUNCT
gsjp-14087	312	31	2016	2016	NUM
gsjp-14087	312	32	)	)	PUNCT
gsjp-14087	312	33	.	.	PUNCT
gsjp-14087	313	1	a	a	DET
gsjp-14087	313	2	new	new	ADJ
gsjp-14087	313	3	procedure	procedure	NOUN
gsjp-14087	313	4	for	for	ADP
gsjp-14087	313	5	detection	detection	NOUN
gsjp-14087	313	6	of	of	ADP
gsjp-14087	313	7	students	student	NOUN
gsjp-14087	313	8	’	'	PUNCT
gsjp-14087	313	9	rapid	rapid	ADJ
gsjp-14087	313	10	guessing	guessing	NOUN
gsjp-14087	313	11	responses	response	NOUN
gsjp-14087	313	12	using	use	VERB
gsjp-14087	313	13	response	response	NOUN
gsjp-14087	313	14	time	time	NOUN
gsjp-14087	313	15	.	.	PUNCT
gsjp-14087	314	1	applied	apply	VERB
gsjp-14087	314	2	measurement	measurement	NOUN
gsjp-14087	314	3	in	in	ADP
gsjp-14087	314	4	education	education	NOUN
gsjp-14087	314	5	,	,	PUNCT
gsjp-14087	314	6	29(3	29(3	NUM
gsjp-14087	314	7	)	)	PUNCT
gsjp-14087	314	8	,	,	PUNCT
gsjp-14087	314	9	173–183	173–183	NUM
gsjp-14087	314	10	.	.	PUNCT
gsjp-14087	315	1	https://doi.org/10.1080/08	https://doi.org/10.1080/08	NOUN
gsjp-14087	315	2	957347.2016.1171766	957347.2016.1171766	NUM
gsjp-14087	315	3	harms	harm	NOUN
gsjp-14087	315	4	,	,	PUNCT
gsjp-14087	315	5	c.	c.	NOUN
gsjp-14087	315	6	,	,	PUNCT
gsjp-14087	315	7	jackel	jackel	PROPN
gsjp-14087	315	8	,	,	PUNCT
gsjp-14087	315	9	l.	l.	PROPN
gsjp-14087	315	10	,	,	PUNCT
gsjp-14087	315	11	&	&	CCONJ
gsjp-14087	315	12	montag	montag	PROPN
gsjp-14087	315	13	,	,	PUNCT
gsjp-14087	315	14	c.	c.	PROPN
gsjp-14087	315	15	(	(	PUNCT
gsjp-14087	315	16	2017	2017	NUM
gsjp-14087	315	17	)	)	PUNCT
gsjp-14087	315	18	.	.	PUNCT
gsjp-14087	316	1	reliability	reliability	NOUN
gsjp-14087	316	2	and	and	CCONJ
gsjp-14087	316	3	completion	completion	NOUN
gsjp-14087	316	4	speed	speed	NOUN
gsjp-14087	316	5	in	in	ADP
gsjp-14087	316	6	online	online	ADJ
gsjp-14087	316	7	questionnaires	questionnaire	NOUN
gsjp-14087	316	8	under	under	ADP
gsjp-14087	316	9	consideration	consideration	NOUN
gsjp-14087	316	10	of	of	ADP
gsjp-14087	316	11	personality	personality	NOUN
gsjp-14087	316	12	.	.	PUNCT
gsjp-14087	317	1	personality	personality	NOUN
gsjp-14087	317	2	and	and	CCONJ
gsjp-14087	317	3	individual	individual	ADJ
gsjp-14087	317	4	differences	difference	NOUN
gsjp-14087	317	5	,	,	PUNCT
gsjp-14087	317	6	111	111	NUM
gsjp-14087	317	7	,	,	PUNCT
gsjp-14087	317	8	281–290	281–290	NUM
gsjp-14087	317	9	.	.	PUNCT
gsjp-14087	318	1	https://doi.org/10.1016/j.paid.2017.02.015	https://doi.org/10.1016/j.paid.2017.02.015	PROPN
gsjp-14087	318	2	heerwegh	heerwegh	PROPN
gsjp-14087	318	3	,	,	PUNCT
gsjp-14087	318	4	d.	d.	PROPN
gsjp-14087	318	5	(	(	PUNCT
gsjp-14087	318	6	2003	2003	NUM
gsjp-14087	318	7	)	)	PUNCT
gsjp-14087	318	8	.	.	PUNCT
gsjp-14087	319	1	explaining	explain	VERB
gsjp-14087	319	2	response	response	NOUN
gsjp-14087	319	3	latencies	latency	NOUN
gsjp-14087	319	4	and	and	CCONJ
gsjp-14087	319	5	changing	change	VERB
gsjp-14087	319	6	answers	answer	NOUN
gsjp-14087	319	7	using	use	VERB
gsjp-14087	319	8	client	client	NOUN
gsjp-14087	319	9	-	-	PUNCT
gsjp-14087	319	10	side	side	NOUN
gsjp-14087	319	11	paradata	paradata	NOUN
gsjp-14087	319	12	from	from	ADP
gsjp-14087	319	13	a	a	DET
gsjp-14087	319	14	web	web	NOUN
gsjp-14087	319	15	survey	survey	NOUN
gsjp-14087	319	16	.	.	PUNCT
gsjp-14087	320	1	social	social	ADJ
gsjp-14087	320	2	science	science	PROPN
gsjp-14087	320	3	computer	computer	NOUN
gsjp-14087	320	4	review	review	NOUN
gsjp-14087	320	5	,	,	PUNCT
gsjp-14087	320	6	21(3	21(3	NUM
gsjp-14087	320	7	)	)	PUNCT
gsjp-14087	320	8	,	,	PUNCT
gsjp-14087	320	9	360–373	360–373	NUM
gsjp-14087	320	10	.	.	PUNCT
gsjp-14087	321	1	https://doi	https://doi	X
gsjp-14087	321	2	.	.	PUNCT
gsjp-14087	322	1	org/10.1177/0894439303253985	org/10.1177/0894439303253985	NOUN
gsjp-14087	322	2	82	82	NUM
gsjp-14087	322	3	response	response	NOUN
gsjp-14087	322	4	time	time	NOUN
gsjp-14087	322	5	to	to	PART
gsjp-14087	322	6	identify	identify	VERB
gsjp-14087	322	7	careless	careless	ADJ
gsjp-14087	322	8	responders	responder	NOUN
gsjp-14087	322	9	hintze	hintze	ADJ
gsjp-14087	322	10	,	,	PUNCT
gsjp-14087	322	11	j.	j.	PROPN
gsjp-14087	322	12	m.	m.	PROPN
gsjp-14087	322	13	,	,	PUNCT
gsjp-14087	322	14	&	&	CCONJ
gsjp-14087	322	15	silberglitt	silberglitt	VERB
gsjp-14087	322	16	,	,	PUNCT
gsjp-14087	322	17	b.	b.	PROPN
gsjp-14087	322	18	(	(	PUNCT
gsjp-14087	322	19	2005	2005	NUM
gsjp-14087	322	20	)	)	PUNCT
gsjp-14087	322	21	.	.	PUNCT
gsjp-14087	323	1	a	a	DET
gsjp-14087	323	2	longitudinal	longitudinal	ADJ
gsjp-14087	323	3	examination	examination	NOUN
gsjp-14087	323	4	of	of	ADP
gsjp-14087	323	5	the	the	DET
gsjp-14087	323	6	diagnostic	diagnostic	ADJ
gsjp-14087	323	7	accuracy	accuracy	NOUN
gsjp-14087	323	8	and	and	CCONJ
gsjp-14087	323	9	predictive	predictive	ADJ
gsjp-14087	323	10	validity	validity	NOUN
gsjp-14087	323	11	of	of	ADP
gsjp-14087	323	12	r	r	NOUN
gsjp-14087	323	13	-	-	PUNCT
gsjp-14087	323	14	cbm	cbm	ADJ
gsjp-14087	323	15	and	and	CCONJ
gsjp-14087	323	16	high	high	ADJ
gsjp-14087	323	17	-	-	PUNCT
gsjp-14087	323	18	stakes	stake	NOUN
gsjp-14087	323	19	testing	testing	NOUN
gsjp-14087	323	20	.	.	PUNCT
gsjp-14087	324	1	school	school	NOUN
gsjp-14087	324	2	psychology	psychology	NOUN
gsjp-14087	324	3	review	review	NOUN
gsjp-14087	324	4	,	,	PUNCT
gsjp-14087	324	5	34	34	NUM
gsjp-14087	324	6	,	,	PUNCT
gsjp-14087	324	7	372–386	372–386	NUM
gsjp-14087	324	8	.	.	PUNCT
gsjp-14087	325	1	http://doi	http://doi	X
gsjp-14087	325	2	.	.	PROPN
gsjp-14087	325	3	org/10.1080/02796015.2005.12086292	org/10.1080/02796015.2005.12086292	PROPN
gsjp-14087	325	4	huang	huang	PROPN
gsjp-14087	325	5	,	,	PUNCT
gsjp-14087	325	6	j.	j.	PROPN
gsjp-14087	325	7	l.	l.	PROPN
gsjp-14087	325	8	,	,	PUNCT
gsjp-14087	325	9	curran	curran	PROPN
gsjp-14087	325	10	,	,	PUNCT
gsjp-14087	325	11	p.	p.	PROPN
gsjp-14087	325	12	g.	g.	PROPN
gsjp-14087	325	13	,	,	PUNCT
gsjp-14087	325	14	keeney	keeney	PROPN
gsjp-14087	325	15	,	,	PUNCT
gsjp-14087	325	16	j.	j.	PROPN
gsjp-14087	325	17	,	,	PUNCT
gsjp-14087	325	18	poposki	poposki	PROPN
gsjp-14087	325	19	,	,	PUNCT
gsjp-14087	325	20	e.	e.	PROPN
gsjp-14087	325	21	m.	m.	PROPN
gsjp-14087	325	22	,	,	PUNCT
gsjp-14087	325	23	&	&	CCONJ
gsjp-14087	325	24	deshon	deshon	PROPN
gsjp-14087	325	25	,	,	PUNCT
gsjp-14087	325	26	r.	r.	PROPN
gsjp-14087	325	27	p.	p.	PROPN
gsjp-14087	325	28	(	(	PUNCT
gsjp-14087	325	29	2012	2012	NUM
gsjp-14087	325	30	)	)	PUNCT
gsjp-14087	325	31	.	.	PUNCT
gsjp-14087	326	1	detecting	detect	VERB
gsjp-14087	326	2	and	and	CCONJ
gsjp-14087	326	3	deterring	deter	VERB
gsjp-14087	326	4	insufficient	insufficient	ADJ
gsjp-14087	326	5	effort	effort	NOUN
gsjp-14087	326	6	responding	respond	VERB
gsjp-14087	326	7	to	to	ADP
gsjp-14087	326	8	surveys	survey	NOUN
gsjp-14087	326	9	.	.	PUNCT
gsjp-14087	327	1	journal	journal	NOUN
gsjp-14087	327	2	of	of	ADP
gsjp-14087	327	3	business	business	NOUN
gsjp-14087	327	4	and	and	CCONJ
gsjp-14087	327	5	psychology	psychology	NOUN
gsjp-14087	327	6	,	,	PUNCT
gsjp-14087	327	7	27(1	27(1	NUM
gsjp-14087	327	8	)	)	PUNCT
gsjp-14087	327	9	,	,	PUNCT
gsjp-14087	327	10	99–114	99–114	X
gsjp-14087	327	11	.	.	PUNCT
gsjp-14087	328	1	https://	https://	PROPN
gsjp-14087	328	2	doi.org/10.1007/s10869-011-9231-8	doi.org/10.1007/s10869-011-9231-8	PROPN
gsjp-14087	328	3	hubbard	hubbard	PROPN
gsjp-14087	328	4	,	,	PUNCT
gsjp-14087	328	5	n.	n.	PROPN
gsjp-14087	328	6	a.	a.	PROPN
gsjp-14087	328	7	,	,	PUNCT
gsjp-14087	328	8	hutchison	hutchison	PROPN
gsjp-14087	328	9	,	,	PUNCT
gsjp-14087	328	10	j.	j.	PROPN
gsjp-14087	328	11	l.	l.	PROPN
gsjp-14087	328	12	,	,	PUNCT
gsjp-14087	328	13	turner	turner	PROPN
gsjp-14087	328	14	,	,	PUNCT
gsjp-14087	328	15	m.	m.	NOUN
gsjp-14087	328	16	,	,	PUNCT
gsjp-14087	328	17	montroy	montroy	PROPN
gsjp-14087	328	18	,	,	PUNCT
gsjp-14087	328	19	j.	j.	PROPN
gsjp-14087	328	20	,	,	PUNCT
gsjp-14087	328	21	bowles	bowles	PROPN
gsjp-14087	328	22	,	,	PUNCT
gsjp-14087	328	23	r.	r.	PROPN
gsjp-14087	328	24	p.	p.	PROPN
gsjp-14087	328	25	,	,	PUNCT
gsjp-14087	328	26	&	&	CCONJ
gsjp-14087	328	27	rypma	rypma	PROPN
gsjp-14087	328	28	,	,	PUNCT
gsjp-14087	328	29	b.	b.	PROPN
gsjp-14087	328	30	(	(	PUNCT
gsjp-14087	328	31	2016	2016	NUM
gsjp-14087	328	32	)	)	PUNCT
gsjp-14087	328	33	.	.	PUNCT
gsjp-14087	329	1	depressive	depressive	ADJ
gsjp-14087	329	2	thoughts	thought	NOUN
gsjp-14087	329	3	limit	limit	VERB
gsjp-14087	329	4	working	working	NOUN
gsjp-14087	329	5	memory	memory	NOUN
gsjp-14087	329	6	capacity	capacity	NOUN
gsjp-14087	329	7	in	in	ADP
gsjp-14087	329	8	dysphoria	dysphoria	NOUN
gsjp-14087	329	9	.	.	PUNCT
gsjp-14087	330	1	cognition	cognition	NOUN
gsjp-14087	330	2	and	and	CCONJ
gsjp-14087	330	3	emotion	emotion	NOUN
gsjp-14087	330	4	,	,	PUNCT
gsjp-14087	330	5	30	30	NUM
gsjp-14087	330	6	,	,	PUNCT
gsjp-14087	330	7	193	193	NUM
gsjp-14087	330	8	–	–	SYM
gsjp-14087	330	9	209	209	NUM
gsjp-14087	330	10	.	.	PUNCT
gsjp-14087	331	1	https://doi.org/10.1080/02699931.2014.99	https://doi.org/10.1080/02699931.2014.99	NOUN
gsjp-14087	331	2	1694	1694	NUM
gsjp-14087	331	3	james	james	PROPN
gsjp-14087	331	4	,	,	PUNCT
gsjp-14087	331	5	g.	g.	PROPN
gsjp-14087	331	6	,	,	PUNCT
gsjp-14087	331	7	witten	witten	PROPN
gsjp-14087	331	8	,	,	PUNCT
gsjp-14087	331	9	d.	d.	PROPN
gsjp-14087	331	10	,	,	PUNCT
gsjp-14087	331	11	hastie	hastie	PROPN
gsjp-14087	331	12	,	,	PUNCT
gsjp-14087	331	13	t.	t.	PROPN
gsjp-14087	331	14	,	,	PUNCT
gsjp-14087	331	15	&	&	CCONJ
gsjp-14087	331	16	tibshirani	tibshirani	PROPN
gsjp-14087	331	17	,	,	PUNCT
gsjp-14087	331	18	r.	r.	PROPN
gsjp-14087	331	19	(	(	PUNCT
gsjp-14087	331	20	2017	2017	NUM
gsjp-14087	331	21	)	)	PUNCT
gsjp-14087	331	22	.	.	PUNCT
gsjp-14087	332	1	an	an	DET
gsjp-14087	332	2	introduction	introduction	NOUN
gsjp-14087	332	3	to	to	ADP
gsjp-14087	332	4	statistical	statistical	ADJ
gsjp-14087	332	5	learning	learning	NOUN
gsjp-14087	332	6	with	with	ADP
gsjp-14087	332	7	applications	application	NOUN
gsjp-14087	332	8	in	in	ADP
gsjp-14087	332	9	r.	r.	PROPN
gsjp-14087	332	10	new	new	PROPN
gsjp-14087	332	11	york	york	PROPN
gsjp-14087	332	12	:	:	PUNCT
gsjp-14087	332	13	springer	springer	NOUN
gsjp-14087	332	14	.	.	PUNCT
gsjp-14087	333	1	jones	jones	PROPN
gsjp-14087	333	2	,	,	PUNCT
gsjp-14087	333	3	a.	a.	PROPN
gsjp-14087	333	4	,	,	PUNCT
gsjp-14087	333	5	earnest	earnest	NOUN
gsjp-14087	333	6	,	,	PUNCT
gsjp-14087	333	7	j.	j.	PROPN
gsjp-14087	333	8	,	,	PUNCT
gsjp-14087	333	9	adam	adam	PROPN
gsjp-14087	333	10	,	,	PUNCT
gsjp-14087	333	11	m.	m.	NOUN
gsjp-14087	333	12	,	,	PUNCT
gsjp-14087	333	13	clarke	clarke	PROPN
gsjp-14087	333	14	,	,	PUNCT
gsjp-14087	333	15	r.	r.	PROPN
gsjp-14087	333	16	,	,	PUNCT
gsjp-14087	333	17	yates	yates	PROPN
gsjp-14087	333	18	,	,	PUNCT
gsjp-14087	333	19	j.	j.	PROPN
gsjp-14087	333	20	,	,	PUNCT
gsjp-14087	333	21	&	&	CCONJ
gsjp-14087	333	22	pennington	pennington	PROPN
gsjp-14087	333	23	,	,	PUNCT
gsjp-14087	333	24	c.	c.	PROPN
gsjp-14087	333	25	r.	r.	PROPN
gsjp-14087	333	26	(	(	PUNCT
gsjp-14087	333	27	2022	2022	NUM
gsjp-14087	333	28	)	)	PUNCT
gsjp-14087	333	29	.	.	PUNCT
gsjp-14087	334	1	careless	careless	ADJ
gsjp-14087	334	2	responding	respond	VERB
gsjp-14087	334	3	in	in	ADP
gsjp-14087	334	4	crowdsourced	crowdsourced	ADJ
gsjp-14087	334	5	alcohol	alcohol	NOUN
gsjp-14087	334	6	research	research	NOUN
gsjp-14087	334	7	:	:	PUNCT
gsjp-14087	334	8	a	a	DET
gsjp-14087	334	9	systematic	systematic	ADJ
gsjp-14087	334	10	review	review	NOUN
gsjp-14087	334	11	and	and	CCONJ
gsjp-14087	334	12	meta	meta	ADJ
gsjp-14087	334	13	-	-	PUNCT
gsjp-14087	334	14	analysis	analysis	NOUN
gsjp-14087	334	15	of	of	ADP
gsjp-14087	334	16	practices	practice	NOUN
gsjp-14087	334	17	and	and	CCONJ
gsjp-14087	334	18	prevalence	prevalence	NOUN
gsjp-14087	334	19	.	.	PUNCT
gsjp-14087	335	1	experimental	experimental	ADJ
gsjp-14087	335	2	and	and	CCONJ
gsjp-14087	335	3	clinical	clinical	ADJ
gsjp-14087	335	4	psychopharmacology	psychopharmacology	NOUN
gsjp-14087	335	5	,	,	PUNCT
gsjp-14087	335	6	30(4	30(4	NUM
gsjp-14087	335	7	)	)	PUNCT
gsjp-14087	335	8	,	,	PUNCT
gsjp-14087	335	9	381–399	381–399	NUM
gsjp-14087	335	10	.	.	PUNCT
gsjp-14087	336	1	https://doi.org/10.1037/	https://doi.org/10.1037/	PROPN
gsjp-14087	336	2	pha0000546	pha0000546	VERB
gsjp-14087	336	3	keeley	keeley	PROPN
gsjp-14087	336	4	,	,	PUNCT
gsjp-14087	336	5	j.	j.	PROPN
gsjp-14087	336	6	w.	w.	PROPN
gsjp-14087	336	7	,	,	PUNCT
gsjp-14087	336	8	webb	webb	PROPN
gsjp-14087	336	9	,	,	PUNCT
gsjp-14087	336	10	c.	c.	PROPN
gsjp-14087	336	11	,	,	PUNCT
gsjp-14087	336	12	peterson	peterson	PROPN
gsjp-14087	336	13	,	,	PUNCT
gsjp-14087	336	14	d.	d.	PROPN
gsjp-14087	336	15	,	,	PUNCT
gsjp-14087	336	16	roussin	roussin	PROPN
gsjp-14087	336	17	,	,	PUNCT
gsjp-14087	336	18	l.	l.	PROPN
gsjp-14087	336	19	,	,	PUNCT
gsjp-14087	336	20	&	&	CCONJ
gsjp-14087	336	21	flanagan	flanagan	PROPN
gsjp-14087	336	22	,	,	PUNCT
gsjp-14087	336	23	e.	e.	PROPN
gsjp-14087	336	24	h.	h.	PROPN
gsjp-14087	336	25	(	(	PUNCT
gsjp-14087	336	26	2016	2016	NUM
gsjp-14087	336	27	)	)	PUNCT
gsjp-14087	336	28	.	.	PUNCT
gsjp-14087	337	1	development	development	NOUN
gsjp-14087	337	2	of	of	ADP
gsjp-14087	337	3	a	a	DET
gsjp-14087	337	4	response	response	NOUN
gsjp-14087	337	5	inconsistency	inconsistency	NOUN
gsjp-14087	337	6	scale	scale	NOUN
gsjp-14087	337	7	for	for	ADP
gsjp-14087	337	8	the	the	DET
gsjp-14087	337	9	personality	personality	NOUN
gsjp-14087	337	10	inventory	inventory	NOUN
gsjp-14087	337	11	for	for	ADP
gsjp-14087	337	12	dsm–5	dsm–5	PROPN
gsjp-14087	337	13	.	.	PROPN
gsjp-14087	337	14	journal	journal	PROPN
gsjp-14087	337	15	of	of	ADP
gsjp-14087	337	16	personality	personality	NOUN
gsjp-14087	337	17	assessment	assessment	NOUN
gsjp-14087	337	18	,	,	PUNCT
gsjp-14087	337	19	98(4	98(4	NUM
gsjp-14087	337	20	)	)	PUNCT
gsjp-14087	337	21	,	,	PUNCT
gsjp-14087	337	22	351–359	351–359	NUM
gsjp-14087	337	23	.	.	PUNCT
gsjp-14087	338	1	https://doi.org/10.1080/0	https://doi.org/10.1080/0	PROPN
gsjp-14087	338	2	0223891.2016.1158719	0223891.2016.1158719	NUM
gsjp-14087	338	3	kilgus	kilgus	PROPN
gsjp-14087	338	4	,	,	PUNCT
gsjp-14087	338	5	s.	s.	PROPN
gsjp-14087	338	6	p.	p.	PROPN
gsjp-14087	338	7	,	,	PUNCT
gsjp-14087	338	8	chafouleas	chafouleas	PROPN
gsjp-14087	338	9	,	,	PUNCT
gsjp-14087	338	10	s.	s.	PROPN
gsjp-14087	338	11	m.	m.	PROPN
gsjp-14087	338	12	,	,	PUNCT
gsjp-14087	338	13	&	&	CCONJ
gsjp-14087	338	14	riley	riley	PROPN
gsjp-14087	338	15	-	-	PUNCT
gsjp-14087	338	16	tillman	tillman	NOUN
gsjp-14087	338	17	,	,	PUNCT
gsjp-14087	338	18	t.	t.	PROPN
gsjp-14087	338	19	c.	c.	PROPN
gsjp-14087	338	20	(	(	PUNCT
gsjp-14087	338	21	2013	2013	NUM
gsjp-14087	338	22	)	)	PUNCT
gsjp-14087	338	23	.	.	PUNCT
gsjp-14087	339	1	development	development	NOUN
gsjp-14087	339	2	and	and	CCONJ
gsjp-14087	339	3	initial	initial	ADJ
gsjp-14087	339	4	validation	validation	NOUN
gsjp-14087	339	5	of	of	ADP
gsjp-14087	339	6	the	the	DET
gsjp-14087	339	7	social	social	ADJ
gsjp-14087	339	8	and	and	CCONJ
gsjp-14087	339	9	academic	academic	ADJ
gsjp-14087	339	10	behavior	behavior	NOUN
gsjp-14087	339	11	risk	risk	NOUN
gsjp-14087	339	12	screener	screener	NOUN
gsjp-14087	339	13	for	for	ADP
gsjp-14087	339	14	elementary	elementary	ADJ
gsjp-14087	339	15	grades	grade	NOUN
gsjp-14087	339	16	.	.	PUNCT
gsjp-14087	340	1	school	school	NOUN
gsjp-14087	340	2	psychology	psychology	NOUN
gsjp-14087	340	3	quarterly	quarterly	ADV
gsjp-14087	340	4	,	,	PUNCT
gsjp-14087	340	5	28(3	28(3	NUM
gsjp-14087	340	6	)	)	PUNCT
gsjp-14087	340	7	,	,	PUNCT
gsjp-14087	340	8	210–226	210–226	NUM
gsjp-14087	340	9	.	.	PUNCT
gsjp-14087	341	1	https://doi.org/10.1037/	https://doi.org/10.1037/	PROPN
gsjp-14087	341	2	spq0000024	spq0000024	NOUN
gsjp-14087	341	3	kong	kong	PROPN
gsjp-14087	341	4	,	,	PUNCT
gsjp-14087	341	5	x.	x.	PROPN
gsjp-14087	341	6	j.	j.	PROPN
gsjp-14087	341	7	,	,	PUNCT
gsjp-14087	341	8	wise	wise	PROPN
gsjp-14087	341	9	,	,	PUNCT
gsjp-14087	341	10	s.	s.	PROPN
gsjp-14087	341	11	l.	l.	PROPN
gsjp-14087	341	12	,	,	PUNCT
gsjp-14087	341	13	&	&	CCONJ
gsjp-14087	341	14	bhola	bhola	PROPN
gsjp-14087	341	15	,	,	PUNCT
gsjp-14087	341	16	d.	d.	PROPN
gsjp-14087	341	17	s.	s.	PROPN
gsjp-14087	341	18	(	(	PUNCT
gsjp-14087	341	19	2007	2007	NUM
gsjp-14087	341	20	)	)	PUNCT
gsjp-14087	341	21	.	.	PUNCT
gsjp-14087	342	1	setting	set	VERB
gsjp-14087	342	2	the	the	DET
gsjp-14087	342	3	response	response	NOUN
gsjp-14087	342	4	time	time	NOUN
gsjp-14087	342	5	threshold	threshold	NOUN
gsjp-14087	342	6	parameter	parameter	NOUN
gsjp-14087	342	7	to	to	PART
gsjp-14087	342	8	differentiate	differentiate	VERB
gsjp-14087	342	9	solution	solution	NOUN
gsjp-14087	342	10	behavior	behavior	NOUN
gsjp-14087	342	11	from	from	ADP
gsjp-14087	342	12	rapid	rapid	ADJ
gsjp-14087	342	13	-	-	PUNCT
gsjp-14087	342	14	guessing	guess	VERB
gsjp-14087	342	15	behavior	behavior	NOUN
gsjp-14087	342	16	.	.	PUNCT
gsjp-14087	343	1	educational	educational	ADJ
gsjp-14087	343	2	and	and	CCONJ
gsjp-14087	343	3	psychological	psychological	ADJ
gsjp-14087	343	4	measurement	measurement	NOUN
gsjp-14087	343	5	,	,	PUNCT
gsjp-14087	343	6	67(4	67(4	NUM
gsjp-14087	343	7	)	)	PUNCT
gsjp-14087	343	8	,	,	PUNCT
gsjp-14087	343	9	606–619	606–619	NUM
gsjp-14087	343	10	.	.	PUNCT
gsjp-14087	344	1	https://doi	https://doi	NOUN
gsjp-14087	344	2	.	.	PUNCT
gsjp-14087	344	3	org/10.1177/0013164406294779	org/10.1177/0013164406294779	PROPN
gsjp-14087	344	4	kumar	kumar	PROPN
gsjp-14087	344	5	,	,	PUNCT
gsjp-14087	344	6	p.	p.	PROPN
gsjp-14087	344	7	,	,	PUNCT
gsjp-14087	344	8	garg	garg	PROPN
gsjp-14087	344	9	,	,	PUNCT
gsjp-14087	344	10	s.	s.	PROPN
gsjp-14087	344	11	,	,	PUNCT
gsjp-14087	344	12	&	&	CCONJ
gsjp-14087	344	13	garg	garg	PROPN
gsjp-14087	344	14	,	,	PUNCT
gsjp-14087	344	15	a.	a.	NOUN
gsjp-14087	344	16	(	(	PUNCT
gsjp-14087	344	17	2020	2020	NUM
gsjp-14087	344	18	)	)	PUNCT
gsjp-14087	344	19	.	.	PUNCT
gsjp-14087	345	1	assessment	assessment	NOUN
gsjp-14087	345	2	of	of	ADP
gsjp-14087	345	3	anxiety	anxiety	NOUN
gsjp-14087	345	4	,	,	PUNCT
gsjp-14087	345	5	depression	depression	NOUN
gsjp-14087	345	6	and	and	CCONJ
gsjp-14087	345	7	stress	stress	NOUN
gsjp-14087	345	8	using	use	VERB
gsjp-14087	345	9	machine	machine	NOUN
gsjp-14087	345	10	learning	learning	NOUN
gsjp-14087	345	11	models	model	NOUN
gsjp-14087	345	12	.	.	PUNCT
gsjp-14087	346	1	procedia	procedia	PROPN
gsjp-14087	346	2	computer	computer	NOUN
gsjp-14087	346	3	science	science	NOUN
gsjp-14087	346	4	,	,	PUNCT
gsjp-14087	346	5	171	171	NUM
gsjp-14087	346	6	,	,	PUNCT
gsjp-14087	346	7	1989–1998	1989–1998	NUM
gsjp-14087	346	8	.	.	PUNCT
gsjp-14087	347	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
gsjp-14087	347	2	.	.	PUNCT
gsjp-14087	348	1	procs.2020.04.213	procs.2020.04.213	PROPN
gsjp-14087	348	2	lepagea	lepagea	PROPN
gsjp-14087	348	3	,	,	PUNCT
gsjp-14087	348	4	j.	j.	PROPN
gsjp-14087	348	5	p.	p.	PROPN
gsjp-14087	348	6	,	,	PUNCT
gsjp-14087	348	7	mogge	mogge	NOUN
gsjp-14087	348	8	,	,	PUNCT
gsjp-14087	348	9	n.	n.	PROPN
gsjp-14087	348	10	l.	l.	PROPN
gsjp-14087	348	11	,	,	PUNCT
gsjp-14087	348	12	&	&	CCONJ
gsjp-14087	348	13	sharpe	sharpe	PROPN
gsjp-14087	348	14	,	,	PUNCT
gsjp-14087	348	15	w.	w.	PROPN
gsjp-14087	348	16	r.	r.	PROPN
gsjp-14087	348	17	(	(	PUNCT
gsjp-14087	348	18	2001	2001	NUM
gsjp-14087	348	19	)	)	PUNCT
gsjp-14087	348	20	.	.	PUNCT
gsjp-14087	349	1	validity	validity	NOUN
gsjp-14087	349	2	rates	rate	NOUN
gsjp-14087	349	3	of	of	ADP
gsjp-14087	349	4	the	the	DET
gsjp-14087	349	5	mmpi-2	mmpi-2	PROPN
gsjp-14087	349	6	and	and	CCONJ
gsjp-14087	349	7	pai	pai	NOUN
gsjp-14087	349	8	in	in	ADP
gsjp-14087	349	9	a	a	DET
gsjp-14087	349	10	rural	rural	ADJ
gsjp-14087	349	11	inpatient	inpatient	NOUN
gsjp-14087	349	12	psychiatric	psychiatric	ADJ
gsjp-14087	349	13	facility	facility	NOUN
gsjp-14087	349	14	.	.	PUNCT
gsjp-14087	350	1	assessment	assessment	NOUN
gsjp-14087	350	2	,	,	PUNCT
gsjp-14087	350	3	8(1	8(1	NOUN
gsjp-14087	350	4	)	)	PUNCT
gsjp-14087	350	5	,	,	PUNCT
gsjp-14087	350	6	67–74	67–74	NUM
gsjp-14087	350	7	.	.	PUNCT
gsjp-14087	351	1	https://doi.org/10.1177/107319110100800106	https://doi.org/10.1177/107319110100800106	PROPN
gsjp-14087	351	2	liu	liu	PROPN
gsjp-14087	351	3	,	,	PUNCT
gsjp-14087	351	4	y.	y.	PROPN
gsjp-14087	351	5	s.	s.	PROPN
gsjp-14087	351	6	,	,	PUNCT
gsjp-14087	351	7	song	song	NOUN
gsjp-14087	351	8	,	,	PUNCT
gsjp-14087	351	9	y.	y.	PROPN
gsjp-14087	351	10	,	,	PUNCT
gsjp-14087	351	11	lee	lee	PROPN
gsjp-14087	351	12	,	,	PUNCT
gsjp-14087	351	13	n.	n.	PROPN
gsjp-14087	351	14	a.	a.	PROPN
gsjp-14087	351	15	,	,	PUNCT
gsjp-14087	351	16	bennett	bennett	PROPN
gsjp-14087	351	17	,	,	PUNCT
gsjp-14087	351	18	d.	d.	PROPN
gsjp-14087	351	19	m.	m.	PROPN
gsjp-14087	351	20	,	,	PUNCT
gsjp-14087	351	21	button	button	PROPN
gsjp-14087	351	22	,	,	PUNCT
gsjp-14087	351	23	k.	k.	PROPN
gsjp-14087	351	24	s.	s.	PROPN
gsjp-14087	351	25	,	,	PUNCT
gsjp-14087	351	26	greenshaw	greenshaw	PROPN
gsjp-14087	351	27	,	,	PUNCT
gsjp-14087	351	28	a.	a.	NOUN
gsjp-14087	351	29	,	,	PUNCT
gsjp-14087	351	30	cao	cao	PROPN
gsjp-14087	351	31	,	,	PUNCT
gsjp-14087	351	32	b.	b.	PROPN
gsjp-14087	351	33	,	,	PUNCT
gsjp-14087	351	34	&	&	CCONJ
gsjp-14087	351	35	sui	sui	PROPN
gsjp-14087	351	36	,	,	PUNCT
gsjp-14087	351	37	j.	j.	PROPN
gsjp-14087	351	38	(	(	PUNCT
gsjp-14087	351	39	2022	2022	NUM
gsjp-14087	351	40	)	)	PUNCT
gsjp-14087	351	41	.	.	PUNCT
gsjp-14087	352	1	depression	depression	NOUN
gsjp-14087	352	2	screening	screen	VERB
gsjp-14087	352	3	using	use	VERB
gsjp-14087	352	4	a	a	DET
gsjp-14087	352	5	non	non	ADJ
gsjp-14087	352	6	-	-	ADJ
gsjp-14087	352	7	verbal	verbal	ADJ
gsjp-14087	352	8	self	self	NOUN
gsjp-14087	352	9	-	-	PUNCT
gsjp-14087	352	10	association	association	NOUN
gsjp-14087	352	11	task	task	NOUN
gsjp-14087	352	12	:	:	PUNCT
gsjp-14087	352	13	a	a	DET
gsjp-14087	352	14	machine	machine	NOUN
gsjp-14087	352	15	-	-	PUNCT
gsjp-14087	352	16	learning	learn	VERB
gsjp-14087	352	17	based	base	VERB
gsjp-14087	352	18	pilot	pilot	NOUN
gsjp-14087	352	19	study	study	NOUN
gsjp-14087	352	20	.	.	PUNCT
gsjp-14087	353	1	journal	journal	PROPN
gsjp-14087	353	2	of	of	ADP
gsjp-14087	353	3	affective	affective	ADJ
gsjp-14087	353	4	disorders	disorder	NOUN
gsjp-14087	353	5	,	,	PUNCT
gsjp-14087	353	6	310	310	NUM
gsjp-14087	353	7	,	,	PUNCT
gsjp-14087	353	8	87–95	87–95	NUM
gsjp-14087	353	9	.	.	PUNCT
gsjp-14087	354	1	https://doi.org/10.1016/j.jad.2022.04.122	https://doi.org/10.1016/j.jad.2022.04.122	PROPN
gsjp-14087	354	2	lovibond	lovibond	PROPN
gsjp-14087	354	3	,	,	PUNCT
gsjp-14087	354	4	s.h	s.h	PROPN
gsjp-14087	354	5	.	.	PROPN
gsjp-14087	354	6	,	,	PUNCT
gsjp-14087	354	7	&	&	CCONJ
gsjp-14087	354	8	lovibond	lovibond	PROPN
gsjp-14087	354	9	,	,	PUNCT
gsjp-14087	354	10	p.f	p.f	PROPN
gsjp-14087	354	11	.	.	PROPN
gsjp-14087	354	12	(	(	PUNCT
gsjp-14087	354	13	1995	1995	NUM
gsjp-14087	354	14	)	)	PUNCT
gsjp-14087	354	15	.	.	PUNCT
gsjp-14087	355	1	manual	manual	NOUN
gsjp-14087	355	2	for	for	ADP
gsjp-14087	355	3	the	the	DET
gsjp-14087	355	4	depression	depression	NOUN
gsjp-14087	355	5	anxiety	anxiety	NOUN
gsjp-14087	355	6	stress	stress	NOUN
gsjp-14087	355	7	scales	scale	NOUN
gsjp-14087	355	8	(	(	PUNCT
gsjp-14087	355	9	2nd	2nd	ADJ
gsjp-14087	355	10	ed	ed	NOUN
gsjp-14087	355	11	.	.	PUNCT
gsjp-14087	355	12	)	)	PUNCT
gsjp-14087	355	13	.	.	PUNCT
gsjp-14087	356	1	sydney	sydney	PROPN
gsjp-14087	356	2	:	:	PUNCT
gsjp-14087	356	3	psychology	psychology	NOUN
gsjp-14087	356	4	foundation	foundation	PROPN
gsjp-14087	356	5	.	.	PUNCT
gsjp-14087	357	1	mcnair	mcnair	PROPN
gsjp-14087	357	2	,	,	PUNCT
gsjp-14087	357	3	d.	d.	PROPN
gsjp-14087	357	4	m.	m.	PROPN
gsjp-14087	357	5	,	,	PUNCT
gsjp-14087	357	6	lorr	lorr	PROPN
gsjp-14087	357	7	,	,	PUNCT
gsjp-14087	357	8	m.	m.	NOUN
gsjp-14087	357	9	,	,	PUNCT
gsjp-14087	357	10	&	&	CCONJ
gsjp-14087	357	11	droppleman	droppleman	PROPN
gsjp-14087	357	12	,	,	PUNCT
gsjp-14087	357	13	l.	l.	PROPN
gsjp-14087	357	14	f.	f.	PROPN
gsjp-14087	357	15	(	(	PUNCT
gsjp-14087	357	16	1971	1971	NUM
gsjp-14087	357	17	)	)	PUNCT
gsjp-14087	357	18	.	.	PUNCT
gsjp-14087	358	1	manual	manual	NOUN
gsjp-14087	358	2	for	for	ADP
gsjp-14087	358	3	the	the	DET
gsjp-14087	358	4	profile	profile	NOUN
gsjp-14087	358	5	of	of	ADP
gsjp-14087	358	6	mood	mood	NOUN
gsjp-14087	358	7	states	state	NOUN
gsjp-14087	358	8	.	.	PUNCT
gsjp-14087	359	1	san	san	PROPN
gsjp-14087	359	2	diego	diego	PROPN
gsjp-14087	359	3	,	,	PUNCT
gsjp-14087	359	4	ca	can	AUX
gsjp-14087	359	5	:	:	PUNCT
gsjp-14087	359	6	educational	educational	ADJ
gsjp-14087	359	7	and	and	CCONJ
gsjp-14087	359	8	industrial	industrial	ADJ
gsjp-14087	359	9	testing	testing	NOUN
gsjp-14087	359	10	services	service	NOUN
gsjp-14087	359	11	.	.	PUNCT
gsjp-14087	360	1	meade	meade	PROPN
gsjp-14087	360	2	,	,	PUNCT
gsjp-14087	360	3	a.	a.	PROPN
gsjp-14087	360	4	w.	w.	PROPN
gsjp-14087	360	5	,	,	PUNCT
gsjp-14087	360	6	&	&	CCONJ
gsjp-14087	360	7	craig	craig	PROPN
gsjp-14087	360	8	,	,	PUNCT
gsjp-14087	360	9	s.	s.	PROPN
gsjp-14087	360	10	b.	b.	PROPN
gsjp-14087	360	11	(	(	PUNCT
gsjp-14087	360	12	2012	2012	NUM
gsjp-14087	360	13	)	)	PUNCT
gsjp-14087	360	14	.	.	PUNCT
gsjp-14087	361	1	identifying	identify	VERB
gsjp-14087	361	2	careless	careless	ADJ
gsjp-14087	361	3	responses	response	NOUN
gsjp-14087	361	4	in	in	ADP
gsjp-14087	361	5	survey	survey	NOUN
gsjp-14087	361	6	data	datum	NOUN
gsjp-14087	361	7	.	.	PUNCT
gsjp-14087	362	1	psychological	psychological	ADJ
gsjp-14087	362	2	methods	method	NOUN
gsjp-14087	362	3	,	,	PUNCT
gsjp-14087	362	4	17(3	17(3	NUM
gsjp-14087	362	5	)	)	PUNCT
gsjp-14087	362	6	,	,	PUNCT
gsjp-14087	362	7	437–455	437–455	NUM
gsjp-14087	362	8	.	.	PUNCT
gsjp-14087	363	1	https://doi.org/10.1037/	https://doi.org/10.1037/	PROPN
gsjp-14087	363	2	a0028085	a0028085	CCONJ
gsjp-14087	363	3	open	open	ADJ
gsjp-14087	363	4	source	source	NOUN
gsjp-14087	363	5	psychometrics	psychometric	NOUN
gsjp-14087	363	6	project	project	NOUN
gsjp-14087	363	7	.	.	PUNCT
gsjp-14087	364	1	(	(	PUNCT
gsjp-14087	364	2	2019	2019	NUM
gsjp-14087	364	3	)	)	PUNCT
gsjp-14087	364	4	.	.	PUNCT
gsjp-14087	365	1	open	open	ADJ
gsjp-14087	365	2	psychology	psychology	NOUN
gsjp-14087	365	3	data	datum	NOUN
gsjp-14087	365	4	:	:	PUNCT
gsjp-14087	365	5	raw	raw	ADJ
gsjp-14087	365	6	data	datum	NOUN
gsjp-14087	365	7	from	from	ADP
gsjp-14087	365	8	online	online	ADJ
gsjp-14087	365	9	personality	personality	NOUN
gsjp-14087	365	10	tests	test	NOUN
gsjp-14087	365	11	.	.	PUNCT
gsjp-14087	366	1	https://openpsychometrics.org/_rawdata/	https://openpsychometrics.org/_rawdata/	PROPN
gsjp-14087	366	2	priya	priya	PROPN
gsjp-14087	366	3	,	,	PUNCT
gsjp-14087	366	4	a.	a.	PROPN
gsjp-14087	366	5	,	,	PUNCT
gsjp-14087	366	6	garg	garg	NOUN
gsjp-14087	366	7	,	,	PUNCT
gsjp-14087	366	8	s.	s.	PROPN
gsjp-14087	366	9	,	,	PUNCT
gsjp-14087	366	10	&	&	CCONJ
gsjp-14087	366	11	tigga	tigga	PROPN
gsjp-14087	366	12	,	,	PUNCT
gsjp-14087	366	13	n.	n.	PROPN
gsjp-14087	366	14	p.	p.	PROPN
gsjp-14087	366	15	(	(	PUNCT
gsjp-14087	366	16	2020	2020	NUM
gsjp-14087	366	17	)	)	PUNCT
gsjp-14087	366	18	.	.	PUNCT
gsjp-14087	367	1	predicting	predict	VERB
gsjp-14087	367	2	anxiety	anxiety	NOUN
gsjp-14087	367	3	,	,	PUNCT
gsjp-14087	367	4	depression	depression	NOUN
gsjp-14087	367	5	and	and	CCONJ
gsjp-14087	367	6	stress	stress	NOUN
gsjp-14087	367	7	in	in	ADP
gsjp-14087	367	8	modern	modern	ADJ
gsjp-14087	367	9	life	life	NOUN
gsjp-14087	367	10	using	use	VERB
gsjp-14087	367	11	machine	machine	NOUN
gsjp-14087	367	12	learning	learning	NOUN
gsjp-14087	367	13	algorithms	algorithm	NOUN
gsjp-14087	367	14	.	.	PUNCT
gsjp-14087	368	1	procedia	procedia	PROPN
gsjp-14087	368	2	computer	computer	NOUN
gsjp-14087	368	3	science	science	NOUN
gsjp-14087	368	4	,	,	PUNCT
gsjp-14087	368	5	167	167	NUM
gsjp-14087	368	6	,	,	PUNCT
gsjp-14087	368	7	1258–1267	1258–1267	NUM
gsjp-14087	368	8	.	.	PUNCT
gsjp-14087	369	1	https://doi	https://doi	X
gsjp-14087	369	2	.	.	PUNCT
gsjp-14087	369	3	org/10.1016	org/10.1016	PROPN
gsjp-14087	369	4	/	/	SYM
gsjp-14087	369	5	j.procs.2020.03.442	j.procs.2020.03.442	PROPN
gsjp-14087	369	6	rios	rios	PROPN
gsjp-14087	369	7	,	,	PUNCT
gsjp-14087	369	8	j.	j.	PROPN
gsjp-14087	369	9	a.	a.	PROPN
gsjp-14087	369	10	,	,	PUNCT
gsjp-14087	369	11	&	&	CCONJ
gsjp-14087	369	12	soland	soland	PROPN
gsjp-14087	369	13	,	,	PUNCT
gsjp-14087	369	14	j.	j.	PROPN
gsjp-14087	369	15	(	(	PUNCT
gsjp-14087	369	16	2021	2021	NUM
gsjp-14087	369	17	)	)	PUNCT
gsjp-14087	369	18	.	.	PUNCT
gsjp-14087	370	1	parameter	parameter	PROPN
gsjp-14087	370	2	estimation	estimation	NOUN
gsjp-14087	370	3	accuracy	accuracy	NOUN
gsjp-14087	370	4	of	of	ADP
gsjp-14087	370	5	the	the	DET
gsjp-14087	370	6	effort	effort	NOUN
gsjp-14087	370	7	-	-	PUNCT
gsjp-14087	370	8	moderated	moderate	VERB
gsjp-14087	370	9	item	item	NOUN
gsjp-14087	370	10	response	response	NOUN
gsjp-14087	370	11	theory	theory	NOUN
gsjp-14087	370	12	model	model	NOUN
gsjp-14087	370	13	under	under	ADP
gsjp-14087	370	14	multiple	multiple	ADJ
gsjp-14087	370	15	assumption	assumption	NOUN
gsjp-14087	370	16	violations	violation	NOUN
gsjp-14087	370	17	.	.	PUNCT
gsjp-14087	371	1	educational	educational	ADJ
gsjp-14087	371	2	and	and	CCONJ
gsjp-14087	371	3	psychological	psychological	ADJ
gsjp-14087	371	4	measurement	measurement	NOUN
gsjp-14087	371	5	,	,	PUNCT
gsjp-14087	371	6	81(3	81(3	NUM
gsjp-14087	371	7	)	)	PUNCT
gsjp-14087	371	8	,	,	PUNCT
gsjp-14087	371	9	569–594	569–594	NUM
gsjp-14087	371	10	.	.	PUNCT
gsjp-14087	372	1	https://doi	https://doi	X
gsjp-14087	372	2	.	.	PUNCT
gsjp-14087	372	3	org/10.1177/0013164420949896	org/10.1177/0013164420949896	PROPN
gsjp-14087	372	4	salthouse	salthouse	PROPN
gsjp-14087	372	5	t.	t.	PROPN
gsjp-14087	372	6	a.	a.	PROPN
gsjp-14087	372	7	(	(	PUNCT
gsjp-14087	372	8	2012	2012	NUM
gsjp-14087	372	9	)	)	PUNCT
gsjp-14087	372	10	.	.	PUNCT
gsjp-14087	373	1	how	how	SCONJ
gsjp-14087	373	2	general	general	ADJ
gsjp-14087	373	3	are	be	AUX
gsjp-14087	373	4	the	the	DET
gsjp-14087	373	5	effects	effect	NOUN
gsjp-14087	373	6	of	of	ADP
gsjp-14087	373	7	trait	trait	NOUN
gsjp-14087	373	8	anxiety	anxiety	NOUN
gsjp-14087	373	9	and	and	CCONJ
gsjp-14087	373	10	depressive	depressive	ADJ
gsjp-14087	373	11	symptoms	symptom	NOUN
gsjp-14087	373	12	on	on	ADP
gsjp-14087	373	13	cognitive	cognitive	ADJ
gsjp-14087	373	14	functioning	functioning	NOUN
gsjp-14087	373	15	?	?	PUNCT
gsjp-14087	374	1	emotion	emotion	NOUN
gsjp-14087	374	2	,	,	PUNCT
gsjp-14087	374	3	12(5	12(5	NUM
gsjp-14087	374	4	)	)	PUNCT
gsjp-14087	374	5	,	,	PUNCT
gsjp-14087	374	6	1075–1084	1075–1084	NUM
gsjp-14087	374	7	.	.	PUNCT
gsjp-14087	375	1	https://doi.org/10.1037/a0025615	https://doi.org/10.1037/a0025615	NUM
gsjp-14087	375	2	schnipke	schnipke	NOUN
gsjp-14087	375	3	,	,	PUNCT
gsjp-14087	375	4	d.	d.	PROPN
gsjp-14087	375	5	l.	l.	PROPN
gsjp-14087	375	6	,	,	PUNCT
gsjp-14087	375	7	&	&	CCONJ
gsjp-14087	375	8	scrams	scrams	PROPN
gsjp-14087	375	9	,	,	PUNCT
gsjp-14087	375	10	d.	d.	PROPN
gsjp-14087	375	11	j.	j.	PROPN
gsjp-14087	375	12	(	(	PUNCT
gsjp-14087	375	13	1997	1997	NUM
gsjp-14087	375	14	)	)	PUNCT
gsjp-14087	375	15	.	.	PUNCT
gsjp-14087	376	1	modeling	model	VERB
gsjp-14087	376	2	item	item	NOUN
gsjp-14087	376	3	response	response	NOUN
gsjp-14087	376	4	times	time	NOUN
gsjp-14087	376	5	with	with	ADP
gsjp-14087	376	6	a	a	DET
gsjp-14087	376	7	two	two	NUM
gsjp-14087	376	8	-	-	PUNCT
gsjp-14087	376	9	state	state	NOUN
gsjp-14087	376	10	mixture	mixture	NOUN
gsjp-14087	376	11	model	model	NOUN
gsjp-14087	376	12	:	:	PUNCT
gsjp-14087	376	13	a	a	DET
gsjp-14087	376	14	new	new	ADJ
gsjp-14087	376	15	method	method	NOUN
gsjp-14087	376	16	of	of	ADP
gsjp-14087	376	17	measuring	measure	VERB
gsjp-14087	376	18	speededness	speededness	NOUN
gsjp-14087	376	19	.	.	PUNCT
gsjp-14087	377	1	journal	journal	NOUN
gsjp-14087	377	2	of	of	ADP
gsjp-14087	377	3	educational	educational	ADJ
gsjp-14087	377	4	measurement	measurement	NOUN
gsjp-14087	377	5	,	,	PUNCT
gsjp-14087	377	6	34(3	34(3	NUM
gsjp-14087	377	7	)	)	PUNCT
gsjp-14087	377	8	,	,	PUNCT
gsjp-14087	377	9	213	213	NUM
gsjp-14087	377	10	–	–	PUNCT
gsjp-14087	377	11	232	232	NUM
gsjp-14087	377	12	.	.	PUNCT
gsjp-14087	378	1	https://doi.org/10.1111/j.1745-3984.1997	https://doi.org/10.1111/j.1745-3984.1997	NOUN
gsjp-14087	378	2	.	.	PUNCT
gsjp-14087	379	1	tb00516.x	tb00516.x	PROPN
gsjp-14087	379	2	snyder	snyder	PROPN
gsjp-14087	379	3	,	,	PUNCT
gsjp-14087	379	4	h.	h.	PROPN
gsjp-14087	379	5	r.	r.	PROPN
gsjp-14087	379	6	,	,	PUNCT
gsjp-14087	379	7	kaiser	kaiser	PROPN
gsjp-14087	379	8	,	,	PUNCT
gsjp-14087	379	9	r.	r.	PROPN
gsjp-14087	379	10	h.	h.	PROPN
gsjp-14087	379	11	,	,	PUNCT
gsjp-14087	379	12	warren	warren	PROPN
gsjp-14087	379	13	,	,	PUNCT
gsjp-14087	379	14	s.	s.	PROPN
gsjp-14087	379	15	l.	l.	PROPN
gsjp-14087	379	16	,	,	PUNCT
gsjp-14087	379	17	&	&	CCONJ
gsjp-14087	379	18	heller	heller	PROPN
gsjp-14087	379	19	,	,	PUNCT
gsjp-14087	379	20	w.	w.	PROPN
gsjp-14087	379	21	(	(	PUNCT
gsjp-14087	379	22	2015	2015	NUM
gsjp-14087	379	23	)	)	PUNCT
gsjp-14087	379	24	.	.	PUNCT
gsjp-14087	380	1	obsessive	obsessive	ADJ
gsjp-14087	380	2	-	-	PUNCT
gsjp-14087	380	3	compulsive	compulsive	ADJ
gsjp-14087	380	4	disorder	disorder	NOUN
gsjp-14087	380	5	is	be	AUX
gsjp-14087	380	6	associated	associate	VERB
gsjp-14087	380	7	with	with	ADP
gsjp-14087	380	8	broad	broad	ADJ
gsjp-14087	380	9	impairments	impairment	NOUN
gsjp-14087	380	10	in	in	ADP
gsjp-14087	380	11	exec83	exec83	PROPN
gsjp-14087	380	12	zentner	zentner	PROPN
gsjp-14087	380	13	&	&	CCONJ
gsjp-14087	380	14	yildirim	yildirim	PROPN
gsjp-14087	380	15	-	-	PUNCT
gsjp-14087	380	16	erbasli	erbasli	PROPN
gsjp-14087	380	17	utive	utive	ADJ
gsjp-14087	380	18	function	function	NOUN
gsjp-14087	380	19	:	:	PUNCT
gsjp-14087	380	20	a	a	DET
gsjp-14087	380	21	meta	meta	ADJ
gsjp-14087	380	22	-	-	PUNCT
gsjp-14087	380	23	analysis	analysis	NOUN
gsjp-14087	380	24	.	.	PUNCT
gsjp-14087	381	1	clinical	clinical	ADJ
gsjp-14087	381	2	psychological	psychological	ADJ
gsjp-14087	381	3	science	science	NOUN
gsjp-14087	381	4	,	,	PUNCT
gsjp-14087	381	5	3(2	3(2	NUM
gsjp-14087	381	6	)	)	PUNCT
gsjp-14087	381	7	,	,	PUNCT
gsjp-14087	381	8	301–330	301–330	NUM
gsjp-14087	381	9	.	.	PUNCT
gsjp-14087	382	1	https://doi	https://doi	PROPN
gsjp-14087	382	2	.	.	PUNCT
gsjp-14087	382	3	org/10.1177/2167702614534210	org/10.1177/2167702614534210	PROPN
gsjp-14087	382	4	snyder	snyder	PROPN
gsjp-14087	382	5	,	,	PUNCT
gsjp-14087	382	6	h.	h.	PROPN
gsjp-14087	382	7	r.	r.	PROPN
gsjp-14087	382	8	,	,	PUNCT
gsjp-14087	382	9	miyake	miyake	PROPN
gsjp-14087	382	10	,	,	PUNCT
gsjp-14087	382	11	a.	a.	PROPN
gsjp-14087	382	12	,	,	PUNCT
gsjp-14087	382	13	&	&	CCONJ
gsjp-14087	382	14	hankin	hankin	PROPN
gsjp-14087	382	15	,	,	PUNCT
gsjp-14087	382	16	b.	b.	PROPN
gsjp-14087	382	17	l.	l.	PROPN
gsjp-14087	382	18	(	(	PUNCT
gsjp-14087	382	19	2015	2015	NUM
gsjp-14087	382	20	)	)	PUNCT
gsjp-14087	382	21	.	.	PUNCT
gsjp-14087	383	1	advancing	advance	VERB
gsjp-14087	383	2	understanding	understanding	NOUN
gsjp-14087	383	3	of	of	ADP
gsjp-14087	383	4	executive	executive	ADJ
gsjp-14087	383	5	function	function	NOUN
gsjp-14087	383	6	impairments	impairment	NOUN
gsjp-14087	383	7	and	and	CCONJ
gsjp-14087	383	8	psychopathology	psychopathology	NOUN
gsjp-14087	383	9	:	:	PUNCT
gsjp-14087	383	10	bridging	bridge	VERB
gsjp-14087	383	11	the	the	DET
gsjp-14087	383	12	gap	gap	NOUN
gsjp-14087	383	13	between	between	ADP
gsjp-14087	383	14	clinical	clinical	ADJ
gsjp-14087	383	15	and	and	CCONJ
gsjp-14087	383	16	cognitive	cognitive	ADJ
gsjp-14087	383	17	approaches	approach	NOUN
gsjp-14087	383	18	.	.	PUNCT
gsjp-14087	384	1	frontiers	frontier	NOUN
gsjp-14087	384	2	in	in	ADP
gsjp-14087	384	3	psychology	psychology	NOUN
gsjp-14087	384	4	,	,	PUNCT
gsjp-14087	384	5	6	6	NUM
gsjp-14087	384	6	,	,	PUNCT
gsjp-14087	384	7	328	328	NUM
gsjp-14087	384	8	.	.	PUNCT
gsjp-14087	385	1	https://doi	https://doi	PROPN
gsjp-14087	385	2	.	.	PUNCT
gsjp-14087	385	3	org/10.3389	org/10.3389	PROPN
gsjp-14087	385	4	/	/	SYM
gsjp-14087	385	5	fpsyg.2015.00328	fpsyg.2015.00328	PROPN
gsjp-14087	385	6	srinath	srinath	PROPN
gsjp-14087	385	7	,	,	PUNCT
gsjp-14087	385	8	k.	k.	PROPN
gsjp-14087	385	9	s.	s.	PROPN
gsjp-14087	385	10	,	,	PUNCT
gsjp-14087	385	11	kiran	kiran	PROPN
gsjp-14087	385	12	,	,	PUNCT
gsjp-14087	385	13	k.	k.	PROPN
gsjp-14087	385	14	,	,	PUNCT
gsjp-14087	385	15	pranavi	pranavi	PROPN
gsjp-14087	385	16	,	,	PUNCT
gsjp-14087	385	17	s.	s.	PROPN
gsjp-14087	385	18	,	,	PUNCT
gsjp-14087	385	19	amrutha	amrutha	NOUN
gsjp-14087	385	20	,	,	PUNCT
gsjp-14087	385	21	m.	m.	NOUN
gsjp-14087	385	22	,	,	PUNCT
gsjp-14087	385	23	shenoy	shenoy	NOUN
gsjp-14087	385	24	,	,	PUNCT
gsjp-14087	385	25	p.	p.	PROPN
gsjp-14087	385	26	d.	d.	PROPN
gsjp-14087	385	27	,	,	PUNCT
gsjp-14087	385	28	&	&	CCONJ
gsjp-14087	385	29	venugopal	venugopal	PROPN
gsjp-14087	385	30	,	,	PUNCT
gsjp-14087	385	31	k.	k.	PROPN
gsjp-14087	385	32	r.	r.	PROPN
gsjp-14087	385	33	(	(	PUNCT
gsjp-14087	385	34	2022	2022	NUM
gsjp-14087	385	35	)	)	PUNCT
gsjp-14087	385	36	.	.	PUNCT
gsjp-14087	386	1	prediction	prediction	NOUN
gsjp-14087	386	2	of	of	ADP
gsjp-14087	386	3	depression	depression	NOUN
gsjp-14087	386	4	,	,	PUNCT
gsjp-14087	386	5	anxiety	anxiety	NOUN
gsjp-14087	386	6	and	and	CCONJ
gsjp-14087	386	7	stress	stress	NOUN
gsjp-14087	386	8	levels	level	NOUN
gsjp-14087	386	9	using	use	VERB
gsjp-14087	386	10	dass-42	dass-42	PROPN
gsjp-14087	387	1	[	[	X
gsjp-14087	387	2	paper	paper	NOUN
gsjp-14087	387	3	presentation	presentation	NOUN
gsjp-14087	387	4	]	]	X
gsjp-14087	387	5	.	.	PUNCT
gsjp-14087	388	1	2022	2022	NUM
gsjp-14087	388	2	ieee	ieee	PROPN
gsjp-14087	388	3	7th	7th	ADJ
gsjp-14087	388	4	international	international	ADJ
gsjp-14087	388	5	conference	conference	NOUN
gsjp-14087	388	6	for	for	ADP
gsjp-14087	388	7	convergence	convergence	NOUN
gsjp-14087	388	8	in	in	ADP
gsjp-14087	388	9	technology	technology	NOUN
gsjp-14087	388	10	(	(	PUNCT
gsjp-14087	388	11	i2ct	i2ct	NOUN
gsjp-14087	388	12	)	)	PUNCT
gsjp-14087	388	13	,	,	PUNCT
gsjp-14087	388	14	mumbai	mumbai	PROPN
gsjp-14087	388	15	,	,	PUNCT
gsjp-14087	388	16	india	india	PROPN
gsjp-14087	388	17	,	,	PUNCT
gsjp-14087	388	18	1–6	1–6	NUM
gsjp-14087	388	19	.	.	PUNCT
gsjp-14087	389	1	sun	sun	PROPN
gsjp-14087	389	2	,	,	PUNCT
gsjp-14087	389	3	m.	m.	NOUN
gsjp-14087	389	4	k.	k.	PROPN
gsjp-14087	389	5	,	,	PUNCT
gsjp-14087	389	6	&	&	CCONJ
gsjp-14087	389	7	alkon	alkon	PROPN
gsjp-14087	389	8	,	,	PUNCT
gsjp-14087	389	9	d.	d.	PROPN
gsjp-14087	389	10	l.	l.	PROPN
gsjp-14087	389	11	(	(	PUNCT
gsjp-14087	389	12	2014	2014	NUM
gsjp-14087	389	13	)	)	PUNCT
gsjp-14087	389	14	.	.	PUNCT
gsjp-14087	390	1	stress	stress	NOUN
gsjp-14087	390	2	:	:	PUNCT
gsjp-14087	390	3	perspectives	perspective	NOUN
gsjp-14087	390	4	on	on	ADP
gsjp-14087	390	5	its	its	PRON
gsjp-14087	390	6	impact	impact	NOUN
gsjp-14087	390	7	on	on	ADP
gsjp-14087	390	8	cognition	cognition	NOUN
gsjp-14087	390	9	and	and	CCONJ
gsjp-14087	390	10	pharmacological	pharmacological	ADJ
gsjp-14087	390	11	treatment	treatment	NOUN
gsjp-14087	390	12	.	.	PUNCT
gsjp-14087	391	1	behavioural	behavioural	ADJ
gsjp-14087	391	2	pharmacology	pharmacology	NOUN
gsjp-14087	391	3	,	,	PUNCT
gsjp-14087	391	4	25(5–6	25(5–6	PROPN
gsjp-14087	391	5	)	)	PUNCT
gsjp-14087	391	6	,	,	PUNCT
gsjp-14087	391	7	410–424	410–424	NUM
gsjp-14087	391	8	.	.	PUNCT
gsjp-14087	392	1	https://doi.org/10.1097/	https://doi.org/10.1097/	NOUN
gsjp-14087	392	2	fbp.0000000000000045	fbp.0000000000000045	ADP
gsjp-14087	392	3	tada	tada	PROPN
gsjp-14087	392	4	,	,	PUNCT
gsjp-14087	392	5	m.	m.	NOUN
gsjp-14087	392	6	,	,	PUNCT
gsjp-14087	392	7	uchida	uchida	PROPN
gsjp-14087	392	8	,	,	PUNCT
gsjp-14087	392	9	h.	h.	PROPN
gsjp-14087	392	10	,	,	PUNCT
gsjp-14087	392	11	suzuki	suzuki	PROPN
gsjp-14087	392	12	,	,	PUNCT
gsjp-14087	392	13	t.	t.	PROPN
gsjp-14087	392	14	,	,	PUNCT
gsjp-14087	392	15	abe	abe	PROPN
gsjp-14087	392	16	,	,	PUNCT
gsjp-14087	392	17	t.	t.	PROPN
gsjp-14087	392	18	,	,	PUNCT
gsjp-14087	392	19	pollock	pollock	NOUN
gsjp-14087	392	20	,	,	PUNCT
gsjp-14087	392	21	b.	b.	PROPN
gsjp-14087	392	22	g.	g.	PROPN
gsjp-14087	392	23	,	,	PUNCT
gsjp-14087	392	24	&	&	CCONJ
gsjp-14087	392	25	mimura	mimura	NOUN
gsjp-14087	392	26	,	,	PUNCT
gsjp-14087	392	27	m.	m.	NOUN
gsjp-14087	392	28	(	(	PUNCT
gsjp-14087	392	29	2014	2014	NUM
gsjp-14087	392	30	)	)	PUNCT
gsjp-14087	392	31	.	.	PUNCT
gsjp-14087	393	1	baseline	baseline	ADJ
gsjp-14087	393	2	difference	difference	NOUN
gsjp-14087	393	3	between	between	ADP
gsjp-14087	393	4	patients	patient	NOUN
gsjp-14087	393	5	’	'	PUNCT
gsjp-14087	393	6	and	and	CCONJ
gsjp-14087	393	7	clinicians	clinician	NOUN
gsjp-14087	393	8	’	'	PUNCT
gsjp-14087	393	9	rated	rate	VERB
gsjp-14087	393	10	illness	illness	NOUN
gsjp-14087	393	11	severity	severity	NOUN
gsjp-14087	393	12	scores	score	NOUN
gsjp-14087	393	13	and	and	CCONJ
gsjp-14087	393	14	subsequent	subsequent	ADJ
gsjp-14087	393	15	outcomes	outcome	NOUN
gsjp-14087	393	16	in	in	ADP
gsjp-14087	393	17	major	major	ADJ
gsjp-14087	393	18	depressive	depressive	ADJ
gsjp-14087	393	19	disorder	disorder	NOUN
gsjp-14087	393	20	:	:	PUNCT
gsjp-14087	393	21	analysis	analysis	NOUN
gsjp-14087	393	22	of	of	ADP
gsjp-14087	393	23	the	the	DET
gsjp-14087	393	24	sequenced	sequence	VERB
gsjp-14087	393	25	treatment	treatment	NOUN
gsjp-14087	393	26	alternatives	alternative	NOUN
gsjp-14087	393	27	to	to	PART
gsjp-14087	393	28	relieve	relieve	VERB
gsjp-14087	393	29	depression	depression	NOUN
gsjp-14087	393	30	data	datum	NOUN
gsjp-14087	393	31	.	.	PUNCT
gsjp-14087	394	1	journal	journal	PROPN
gsjp-14087	394	2	of	of	ADP
gsjp-14087	394	3	clinical	clinical	ADJ
gsjp-14087	394	4	psychopharmacology	psychopharmacology	NOUN
gsjp-14087	394	5	,	,	PUNCT
gsjp-14087	394	6	34(3	34(3	NUM
gsjp-14087	394	7	)	)	PUNCT
gsjp-14087	394	8	,	,	PUNCT
gsjp-14087	394	9	297–302	297–302	NUM
gsjp-14087	394	10	.	.	PUNCT
gsjp-14087	395	1	https://doi.org/10.1097/	https://doi.org/10.1097/	PROPN
gsjp-14087	395	2	jcp.0000000000000112	jcp.0000000000000112	PROPN
gsjp-14087	395	3	van	van	PROPN
gsjp-14087	395	4	der	der	PROPN
gsjp-14087	395	5	linden	linden	PROPN
gsjp-14087	395	6	,	,	PUNCT
gsjp-14087	395	7	w.	w.	PROPN
gsjp-14087	395	8	j.	j.	PROPN
gsjp-14087	395	9	,	,	PUNCT
gsjp-14087	395	10	klein	klein	PROPN
gsjp-14087	395	11	entink	entink	PROPN
gsjp-14087	395	12	,	,	PUNCT
gsjp-14087	395	13	r.	r.	PROPN
gsjp-14087	395	14	h.	h.	PROPN
gsjp-14087	395	15	,	,	PUNCT
gsjp-14087	395	16	&	&	CCONJ
gsjp-14087	395	17	fox	fox	PROPN
gsjp-14087	395	18	,	,	PUNCT
gsjp-14087	395	19	j.	j.	PROPN
gsjp-14087	395	20	p.	p.	PROPN
gsjp-14087	395	21	(	(	PUNCT
gsjp-14087	395	22	2010	2010	NUM
gsjp-14087	395	23	)	)	PUNCT
gsjp-14087	395	24	.	.	PUNCT
gsjp-14087	396	1	irt	irt	PROPN
gsjp-14087	396	2	parameter	parameter	PROPN
gsjp-14087	396	3	estimation	estimation	NOUN
gsjp-14087	396	4	with	with	ADP
gsjp-14087	396	5	response	response	NOUN
gsjp-14087	396	6	times	time	NOUN
gsjp-14087	396	7	as	as	ADP
gsjp-14087	396	8	collateral	collateral	ADJ
gsjp-14087	396	9	information	information	NOUN
gsjp-14087	396	10	.	.	PUNCT
gsjp-14087	397	1	applied	apply	VERB
gsjp-14087	397	2	psychological	psychological	ADJ
gsjp-14087	397	3	measurement	measurement	NOUN
gsjp-14087	397	4	,	,	PUNCT
gsjp-14087	397	5	34(5	34(5	PROPN
gsjp-14087	397	6	)	)	PUNCT
gsjp-14087	397	7	,	,	PUNCT
gsjp-14087	397	8	327–347	327–347	NUM
gsjp-14087	397	9	.	.	PUNCT
gsjp-14087	398	1	https://doi	https://doi	PROPN
gsjp-14087	398	2	.	.	NOUN
gsjp-14087	398	3	org/10.1177/0146621609349800	org/10.1177/0146621609349800	NOUN
gsjp-14087	398	4	ward	ward	NOUN
gsjp-14087	398	5	,	,	PUNCT
gsjp-14087	398	6	m.	m.	NOUN
gsjp-14087	398	7	k.	k.	PROPN
gsjp-14087	398	8	,	,	PUNCT
gsjp-14087	398	9	&	&	CCONJ
gsjp-14087	398	10	meade	meade	PROPN
gsjp-14087	398	11	,	,	PUNCT
gsjp-14087	398	12	a.	a.	PROPN
gsjp-14087	398	13	w.	w.	PROPN
gsjp-14087	398	14	(	(	PUNCT
gsjp-14087	398	15	2023	2023	NUM
gsjp-14087	398	16	)	)	PUNCT
gsjp-14087	398	17	.	.	PUNCT
gsjp-14087	399	1	dealing	deal	VERB
gsjp-14087	399	2	with	with	ADP
gsjp-14087	399	3	careless	careless	ADJ
gsjp-14087	399	4	responding	respond	VERB
gsjp-14087	399	5	in	in	ADP
gsjp-14087	399	6	survey	survey	NOUN
gsjp-14087	399	7	data	datum	NOUN
gsjp-14087	399	8	:	:	PUNCT
gsjp-14087	399	9	prevention	prevention	NOUN
gsjp-14087	399	10	,	,	PUNCT
gsjp-14087	399	11	identification	identification	NOUN
gsjp-14087	399	12	,	,	PUNCT
gsjp-14087	399	13	and	and	CCONJ
gsjp-14087	399	14	recommended	recommend	VERB
gsjp-14087	399	15	best	good	ADJ
gsjp-14087	399	16	practices	practice	NOUN
gsjp-14087	399	17	.	.	PUNCT
gsjp-14087	400	1	annual	annual	ADJ
gsjp-14087	400	2	review	review	NOUN
gsjp-14087	400	3	of	of	ADP
gsjp-14087	400	4	psychology	psychology	NOUN
gsjp-14087	400	5	,	,	PUNCT
gsjp-14087	400	6	74	74	NUM
gsjp-14087	400	7	,	,	PUNCT
gsjp-14087	400	8	577–596	577–596	NUM
gsjp-14087	400	9	.	.	PUNCT
gsjp-14087	401	1	https://	https://	PROPN
gsjp-14087	401	2	doi.org/10.1146/annurev-psych-040422-045007	doi.org/10.1146/annurev-psych-040422-045007	VERB
gsjp-14087	401	3	wardenaar	wardenaar	NOUN
gsjp-14087	401	4	,	,	PUNCT
gsjp-14087	401	5	k.	k.	PROPN
gsjp-14087	401	6	j.	j.	PROPN
gsjp-14087	401	7	,	,	PUNCT
gsjp-14087	401	8	wanders	wander	NOUN
gsjp-14087	401	9	,	,	PUNCT
gsjp-14087	401	10	r.	r.	PROPN
gsjp-14087	401	11	b.	b.	PROPN
gsjp-14087	401	12	k.	k.	PROPN
gsjp-14087	401	13	,	,	PUNCT
gsjp-14087	401	14	roest	roest	PROPN
gsjp-14087	401	15	,	,	PUNCT
gsjp-14087	401	16	a.	a.	NOUN
gsjp-14087	401	17	m.	m.	NOUN
gsjp-14087	401	18	,	,	PUNCT
gsjp-14087	401	19	meijer	meijer	PROPN
gsjp-14087	401	20	,	,	PUNCT
gsjp-14087	401	21	r.	r.	PROPN
gsjp-14087	401	22	r.	r.	PROPN
gsjp-14087	401	23	,	,	PUNCT
gsjp-14087	401	24	&	&	CCONJ
gsjp-14087	401	25	de	de	PROPN
gsjp-14087	401	26	jonge	jonge	PROPN
gsjp-14087	401	27	,	,	PUNCT
gsjp-14087	401	28	p.	p.	NOUN
gsjp-14087	401	29	(	(	PUNCT
gsjp-14087	401	30	2015	2015	NUM
gsjp-14087	401	31	)	)	PUNCT
gsjp-14087	401	32	.	.	PUNCT
gsjp-14087	402	1	what	what	PRON
gsjp-14087	402	2	does	do	AUX
gsjp-14087	402	3	the	the	DET
gsjp-14087	402	4	beck	beck	NOUN
gsjp-14087	402	5	depression	depression	NOUN
gsjp-14087	402	6	inventory	inventory	NOUN
gsjp-14087	402	7	measure	measure	NOUN
gsjp-14087	402	8	in	in	ADP
gsjp-14087	402	9	myocardial	myocardial	ADJ
gsjp-14087	402	10	infarction	infarction	NOUN
gsjp-14087	402	11	patients	patient	NOUN
gsjp-14087	402	12	?	?	PUNCT
gsjp-14087	403	1	a	a	DET
gsjp-14087	403	2	psychometric	psychometric	ADJ
gsjp-14087	403	3	approach	approach	NOUN
gsjp-14087	403	4	using	use	VERB
gsjp-14087	403	5	item	item	NOUN
gsjp-14087	403	6	response	response	NOUN
gsjp-14087	403	7	theory	theory	NOUN
gsjp-14087	403	8	and	and	CCONJ
gsjp-14087	403	9	person	person	NOUN
gsjp-14087	403	10	-	-	PUNCT
gsjp-14087	403	11	fit	fit	NOUN
gsjp-14087	403	12	.	.	PUNCT
gsjp-14087	404	1	international	international	ADJ
gsjp-14087	404	2	journal	journal	PROPN
gsjp-14087	404	3	of	of	ADP
gsjp-14087	404	4	methods	method	NOUN
gsjp-14087	404	5	in	in	ADP
gsjp-14087	404	6	psychiatric	psychiatric	ADJ
gsjp-14087	404	7	research	research	NOUN
gsjp-14087	404	8	,	,	PUNCT
gsjp-14087	404	9	24(2	24(2	NUM
gsjp-14087	404	10	)	)	PUNCT
gsjp-14087	404	11	,	,	PUNCT
gsjp-14087	404	12	130–142	130–142	NUM
gsjp-14087	404	13	.	.	PUNCT
gsjp-14087	405	1	https://doi.org/10.1002/	https://doi.org/10.1002/	PROPN
gsjp-14087	405	2	mpr.1467	mpr.1467	PROPN
gsjp-14087	405	3	watson	watson	NOUN
gsjp-14087	405	4	,	,	PUNCT
gsjp-14087	405	5	d.	d.	PROPN
gsjp-14087	405	6	,	,	PUNCT
gsjp-14087	405	7	&	&	CCONJ
gsjp-14087	405	8	clark	clark	PROPN
gsjp-14087	405	9	,	,	PUNCT
gsjp-14087	405	10	l.	l.	PROPN
gsjp-14087	405	11	a.	a.	PROPN
gsjp-14087	405	12	(	(	PUNCT
gsjp-14087	405	13	1994	1994	NUM
gsjp-14087	405	14	)	)	PUNCT
gsjp-14087	405	15	.	.	PUNCT
gsjp-14087	406	1	the	the	DET
gsjp-14087	406	2	panas	panas	PROPN
gsjp-14087	406	3	-	-	PUNCT
gsjp-14087	406	4	x	x	NOUN
gsjp-14087	406	5	:	:	PUNCT
gsjp-14087	406	6	manual	manual	NOUN
gsjp-14087	406	7	for	for	ADP
gsjp-14087	406	8	the	the	DET
gsjp-14087	406	9	positive	positive	ADJ
gsjp-14087	406	10	and	and	CCONJ
gsjp-14087	406	11	negative	negative	ADJ
gsjp-14087	406	12	affect	affect	NOUN
gsjp-14087	406	13	schedule	schedule	NOUN
gsjp-14087	406	14	expanded	expand	VERB
gsjp-14087	406	15	form	form	NOUN
gsjp-14087	406	16	.	.	PUNCT
gsjp-14087	407	1	university	university	NOUN
gsjp-14087	407	2	of	of	ADP
gsjp-14087	407	3	iowa	iowa	PROPN
gsjp-14087	407	4	.	.	PUNCT
gsjp-14087	408	1	wise	wise	PROPN
gsjp-14087	408	2	,	,	PUNCT
gsjp-14087	408	3	s.	s.	PROPN
gsjp-14087	408	4	l.	l.	PROPN
gsjp-14087	408	5	(	(	PUNCT
gsjp-14087	408	6	2006	2006	NUM
gsjp-14087	408	7	)	)	PUNCT
gsjp-14087	408	8	.	.	PUNCT
gsjp-14087	409	1	an	an	DET
gsjp-14087	409	2	investigation	investigation	NOUN
gsjp-14087	409	3	of	of	ADP
gsjp-14087	409	4	the	the	DET
gsjp-14087	409	5	differential	differential	ADJ
gsjp-14087	409	6	effort	effort	NOUN
gsjp-14087	409	7	received	receive	VERB
gsjp-14087	409	8	by	by	ADP
gsjp-14087	409	9	items	item	NOUN
gsjp-14087	409	10	on	on	ADP
gsjp-14087	409	11	a	a	DET
gsjp-14087	409	12	low	low	ADJ
gsjp-14087	409	13	-	-	PUNCT
gsjp-14087	409	14	stakes	stake	NOUN
gsjp-14087	409	15	,	,	PUNCT
gsjp-14087	409	16	computer	computer	NOUN
gsjp-14087	409	17	-	-	PUNCT
gsjp-14087	409	18	based	base	VERB
gsjp-14087	409	19	test	test	NOUN
gsjp-14087	409	20	.	.	PUNCT
gsjp-14087	410	1	applied	apply	VERB
gsjp-14087	410	2	measurement	measurement	NOUN
gsjp-14087	410	3	in	in	ADP
gsjp-14087	410	4	education	education	NOUN
gsjp-14087	410	5	,	,	PUNCT
gsjp-14087	410	6	19(2	19(2	NUM
gsjp-14087	410	7	)	)	PUNCT
gsjp-14087	410	8	,	,	PUNCT
gsjp-14087	410	9	25–114	25–114	X
gsjp-14087	410	10	.	.	PUNCT
gsjp-14087	411	1	https://doi.org/10.1207/	https://doi.org/10.1207/	PROPN
gsjp-14087	411	2	s15324818ame1902_2	s15324818ame1902_2	VERB
gsjp-14087	411	3	wise	wise	ADJ
gsjp-14087	411	4	,	,	PUNCT
gsjp-14087	411	5	s.	s.	PROPN
gsjp-14087	411	6	l.	l.	PROPN
gsjp-14087	411	7	(	(	PUNCT
gsjp-14087	411	8	2020	2020	NUM
gsjp-14087	411	9	)	)	PUNCT
gsjp-14087	411	10	.	.	PUNCT
gsjp-14087	412	1	an	an	DET
gsjp-14087	412	2	intelligent	intelligent	ADJ
gsjp-14087	412	3	cat	cat	NOUN
gsjp-14087	412	4	that	that	PRON
gsjp-14087	412	5	can	can	AUX
gsjp-14087	412	6	deal	deal	VERB
gsjp-14087	412	7	with	with	ADP
gsjp-14087	412	8	disengaged	disengage	VERB
gsjp-14087	412	9	test	test	NOUN
gsjp-14087	412	10	taking	taking	NOUN
gsjp-14087	412	11	.	.	PUNCT
gsjp-14087	413	1	in	in	ADP
gsjp-14087	413	2	h.	h.	PROPN
gsjp-14087	413	3	jiao	jiao	PROPN
gsjp-14087	413	4	&	&	CCONJ
gsjp-14087	413	5	r.	r.	PROPN
gsjp-14087	413	6	w.	w.	PROPN
gsjp-14087	413	7	lissitz	lissitz	PROPN
gsjp-14087	413	8	(	(	PUNCT
gsjp-14087	413	9	eds	ed	NOUN
gsjp-14087	413	10	.	.	PUNCT
gsjp-14087	413	11	)	)	PUNCT
gsjp-14087	413	12	,	,	PUNCT
gsjp-14087	413	13	application	application	NOUN
gsjp-14087	413	14	of	of	ADP
gsjp-14087	413	15	artificial	artificial	ADJ
gsjp-14087	413	16	intelligence	intelligence	NOUN
gsjp-14087	413	17	to	to	PART
gsjp-14087	413	18	assessment	assessment	VERB
gsjp-14087	413	19	(	(	PUNCT
gsjp-14087	413	20	pp	pp	ADJ
gsjp-14087	413	21	.	.	PUNCT
gsjp-14087	414	1	161–174	161–174	NUM
gsjp-14087	414	2	)	)	PUNCT
gsjp-14087	414	3	.	.	PUNCT
gsjp-14087	415	1	information	information	NOUN
gsjp-14087	415	2	age	age	NOUN
gsjp-14087	415	3	publishing	publishing	PROPN
gsjp-14087	415	4	,	,	PUNCT
gsjp-14087	415	5	inc	inc	PROPN
gsjp-14087	415	6	.	.	PROPN
gsjp-14087	415	7	wise	wise	PROPN
gsjp-14087	415	8	,	,	PUNCT
gsjp-14087	415	9	s.	s.	PROPN
gsjp-14087	415	10	l.	l.	PROPN
gsjp-14087	415	11	,	,	PUNCT
gsjp-14087	415	12	&	&	CCONJ
gsjp-14087	415	13	kong	kong	PROPN
gsjp-14087	415	14	,	,	PUNCT
gsjp-14087	415	15	x.	x.	NOUN
gsjp-14087	415	16	(	(	PUNCT
gsjp-14087	415	17	2005	2005	NUM
gsjp-14087	415	18	)	)	PUNCT
gsjp-14087	415	19	.	.	PUNCT
gsjp-14087	416	1	response	response	NOUN
gsjp-14087	416	2	time	time	NOUN
gsjp-14087	416	3	effort	effort	NOUN
gsjp-14087	416	4	:	:	PUNCT
gsjp-14087	416	5	a	a	DET
gsjp-14087	416	6	new	new	ADJ
gsjp-14087	416	7	measure	measure	NOUN
gsjp-14087	416	8	of	of	ADP
gsjp-14087	416	9	examinee	examinee	NOUN
gsjp-14087	416	10	motivation	motivation	NOUN
gsjp-14087	416	11	in	in	ADP
gsjp-14087	416	12	computer	computer	NOUN
gsjp-14087	416	13	-	-	PUNCT
gsjp-14087	416	14	based	base	VERB
gsjp-14087	416	15	tests	test	NOUN
gsjp-14087	416	16	.	.	PUNCT
gsjp-14087	417	1	applied	apply	VERB
gsjp-14087	417	2	measurement	measurement	NOUN
gsjp-14087	417	3	in	in	ADP
gsjp-14087	417	4	education	education	NOUN
gsjp-14087	417	5	,	,	PUNCT
gsjp-14087	417	6	18(2	18(2	NUM
gsjp-14087	417	7	)	)	PUNCT
gsjp-14087	417	8	,	,	PUNCT
gsjp-14087	417	9	163–183	163–183	NUM
gsjp-14087	417	10	.	.	PUNCT
gsjp-14087	418	1	https://doi.org/10.1207/	https://doi.org/10.1207/	VERB
gsjp-14087	418	2	s15324818ame1802_2	s15324818ame1802_2	ADV
gsjp-14087	418	3	wise	wise	PROPN
gsjp-14087	418	4	,	,	PUNCT
gsjp-14087	418	5	s.	s.	PROPN
gsjp-14087	418	6	l.	l.	PROPN
gsjp-14087	418	7	,	,	PUNCT
gsjp-14087	418	8	&	&	CCONJ
gsjp-14087	418	9	ma	ma	PROPN
gsjp-14087	418	10	,	,	PUNCT
gsjp-14087	418	11	l.	l.	PROPN
gsjp-14087	418	12	(	(	PUNCT
gsjp-14087	418	13	2012	2012	NUM
gsjp-14087	418	14	,	,	PUNCT
gsjp-14087	418	15	april	april	PROPN
gsjp-14087	418	16	)	)	PUNCT
gsjp-14087	418	17	.	.	PUNCT
gsjp-14087	419	1	setting	set	VERB
gsjp-14087	419	2	response	response	NOUN
gsjp-14087	419	3	time	time	NOUN
gsjp-14087	419	4	thresholds	threshold	NOUN
gsjp-14087	419	5	for	for	ADP
gsjp-14087	419	6	a	a	DET
gsjp-14087	419	7	cat	cat	NOUN
gsjp-14087	419	8	item	item	NOUN
gsjp-14087	419	9	pool	pool	NOUN
gsjp-14087	419	10	:	:	PUNCT
gsjp-14087	419	11	the	the	DET
gsjp-14087	419	12	normative	normative	ADJ
gsjp-14087	419	13	threshold	threshold	NOUN
gsjp-14087	419	14	method	method	NOUN
gsjp-14087	419	15	[	[	X
gsjp-14087	419	16	paper	paper	NOUN
gsjp-14087	419	17	presentation	presentation	NOUN
gsjp-14087	419	18	]	]	X
gsjp-14087	419	19	.	.	PUNCT
gsjp-14087	420	1	annual	annual	ADJ
gsjp-14087	420	2	meeting	meeting	NOUN
gsjp-14087	420	3	of	of	ADP
gsjp-14087	420	4	the	the	DET
gsjp-14087	420	5	national	national	PROPN
gsjp-14087	420	6	council	council	PROPN
gsjp-14087	420	7	on	on	ADP
gsjp-14087	420	8	measurement	measurement	NOUN
gsjp-14087	420	9	in	in	ADP
gsjp-14087	420	10	education	education	NOUN
gsjp-14087	420	11	,	,	PUNCT
gsjp-14087	420	12	vancouver	vancouver	PROPN
gsjp-14087	420	13	,	,	PUNCT
gsjp-14087	420	14	british	british	PROPN
gsjp-14087	420	15	columbia	columbia	PROPN
gsjp-14087	420	16	,	,	PUNCT
gsjp-14087	420	17	canada	canada	PROPN
gsjp-14087	420	18	.	.	PUNCT
gsjp-14087	421	1	zuckerman	zuckerman	PROPN
gsjp-14087	421	2	,	,	PUNCT
gsjp-14087	421	3	m.	m.	NOUN
gsjp-14087	421	4	,	,	PUNCT
gsjp-14087	421	5	&	&	CCONJ
gsjp-14087	421	6	lubin	lubin	PROPN
gsjp-14087	421	7	,	,	PUNCT
gsjp-14087	421	8	b.	b.	PROPN
gsjp-14087	421	9	(	(	PUNCT
gsjp-14087	421	10	1985	1985	NUM
gsjp-14087	421	11	)	)	PUNCT
gsjp-14087	421	12	.	.	PUNCT
gsjp-14087	422	1	manual	manual	NOUN
gsjp-14087	422	2	for	for	ADP
gsjp-14087	422	3	the	the	DET
gsjp-14087	422	4	multiple	multiple	ADJ
gsjp-14087	422	5	affect	affect	VERB
gsjp-14087	422	6	adjective	adjective	ADJ
gsjp-14087	422	7	check	check	NOUN
gsjp-14087	422	8	list	list	NOUN
gsjp-14087	422	9	.	.	PUNCT
gsjp-14087	423	1	san	san	PROPN
gsjp-14087	423	2	diego	diego	PROPN
gsjp-14087	423	3	:	:	PUNCT
gsjp-14087	423	4	educational	educational	ADJ
gsjp-14087	423	5	and	and	CCONJ
gsjp-14087	423	6	industrial	industrial	ADJ
gsjp-14087	423	7	testing	testing	NOUN
gsjp-14087	423	8	service	service	NOUN
gsjp-14087	423	9	.	.	PUNCT
gsjp-14087	424	1	84	84	NUM
gsjp-14087	424	2	response	response	NOUN
gsjp-14087	424	3	time	time	NOUN
gsjp-14087	424	4	to	to	PART
gsjp-14087	424	5	identify	identify	VERB
gsjp-14087	424	6	careless	careless	ADJ
gsjp-14087	424	7	responders	responder	NOUN
gsjp-14087	424	8	figure	figure	VERB
gsjp-14087	424	9	1	1	NUM
gsjp-14087	424	10	methodological	methodological	ADJ
gsjp-14087	424	11	framework	framework	NOUN
gsjp-14087	424	12	for	for	ADP
gsjp-14087	424	13	addressing	address	VERB
gsjp-14087	424	14	research	research	NOUN
gsjp-14087	424	15	question	question	NOUN
gsjp-14087	424	16	1	1	NUM
gsjp-14087	424	17	85	85	NUM
gsjp-14087	424	18	zentner	zentner	NOUN
gsjp-14087	424	19	&	&	CCONJ
gsjp-14087	424	20	yildirim	yildirim	PROPN
gsjp-14087	424	21	-	-	PUNCT
gsjp-14087	424	22	erbasli	erbasli	NOUN
gsjp-14087	424	23	figure	figure	NOUN
gsjp-14087	424	24	2	2	NUM
gsjp-14087	424	25	methodological	methodological	ADJ
gsjp-14087	424	26	framework	framework	NOUN
gsjp-14087	424	27	for	for	ADP
gsjp-14087	424	28	addressing	address	VERB
gsjp-14087	424	29	research	research	NOUN
gsjp-14087	424	30	question	question	NOUN
gsjp-14087	424	31	2	2	NUM
gsjp-14087	424	32	86	86	NUM
gsjp-14087	424	33	response	response	NOUN
gsjp-14087	424	34	time	time	NOUN
gsjp-14087	424	35	to	to	PART
gsjp-14087	424	36	identify	identify	VERB
gsjp-14087	424	37	careless	careless	ADJ
gsjp-14087	424	38	responders	responder	NOUN
gsjp-14087	424	39	figure	figure	VERB
gsjp-14087	424	40	3	3	NUM
gsjp-14087	424	41	comparison	comparison	NOUN
gsjp-14087	424	42	of	of	ADP
gsjp-14087	424	43	dass-42	dass-42	PROPN
gsjp-14087	424	44	subscale	subscale	PROPN
gsjp-14087	424	45	scores	score	NOUN
gsjp-14087	424	46	between	between	ADP
gsjp-14087	424	47	careful	careful	ADJ
gsjp-14087	424	48	and	and	CCONJ
gsjp-14087	424	49	careless	careless	ADJ
gsjp-14087	424	50	responders	responder	NOUN
gsjp-14087	424	51	87	87	NUM
gsjp-14087	424	52	zentner	zentner	NOUN
gsjp-14087	424	53	&	&	CCONJ
gsjp-14087	424	54	yildirim	yildirim	PROPN
gsjp-14087	424	55	-	-	PUNCT
gsjp-14087	424	56	erbasli	erbasli	NOUN
gsjp-14087	424	57	figure	figure	NOUN
gsjp-14087	424	58	4	4	NUM
gsjp-14087	424	59	macro	macro	ADJ
gsjp-14087	424	60	-	-	ADJ
gsjp-14087	424	61	averaged	average	VERB
gsjp-14087	424	62	classification	classification	NOUN
gsjp-14087	424	63	metrics	metric	NOUN
gsjp-14087	424	64	for	for	ADP
gsjp-14087	424	65	emotional	emotional	ADJ
gsjp-14087	424	66	distress	distress	NOUN
gsjp-14087	424	67	note	note	NOUN
gsjp-14087	424	68	.	.	PUNCT
gsjp-14087	425	1	dt	dt	X
gsjp-14087	425	2	:	:	PUNCT
gsjp-14087	425	3	decision	decision	NOUN
gsjp-14087	425	4	tree	tree	NOUN
gsjp-14087	425	5	;	;	PUNCT
gsjp-14087	425	6	rf	rf	ADJ
gsjp-14087	425	7	:	:	PUNCT
gsjp-14087	425	8	random	random	ADJ
gsjp-14087	425	9	forest	forest	NOUN
gsjp-14087	425	10	;	;	PUNCT
gsjp-14087	425	11	nb	nb	INTJ
gsjp-14087	425	12	:	:	PUNCT
gsjp-14087	425	13	naive	naive	ADJ
gsjp-14087	425	14	bayes	bayes	NOUN
gsjp-14087	425	15	;	;	PUNCT
gsjp-14087	425	16	svm	svm	ADJ
gsjp-14087	425	17	:	:	PUNCT
gsjp-14087	425	18	support	support	NOUN
gsjp-14087	425	19	vector	vector	NOUN
gsjp-14087	425	20	machine	machine	NOUN
gsjp-14087	425	21	.	.	PUNCT
gsjp-14087	426	1	88	88	NUM
gsjp-14087	426	2	response	response	NOUN
gsjp-14087	426	3	time	time	NOUN
gsjp-14087	426	4	to	to	PART
gsjp-14087	426	5	identify	identify	VERB
gsjp-14087	426	6	careless	careless	ADJ
gsjp-14087	426	7	responders	responder	NOUN
gsjp-14087	426	8	figure	figure	VERB
gsjp-14087	426	9	5	5	NUM
gsjp-14087	426	10	accuracy	accuracy	NOUN
gsjp-14087	426	11	of	of	ADP
gsjp-14087	426	12	classification	classification	NOUN
gsjp-14087	426	13	for	for	ADP
gsjp-14087	426	14	machine	machine	NOUN
gsjp-14087	426	15	learning	learning	NOUN
gsjp-14087	426	16	models	model	NOUN
gsjp-14087	426	17	note	note	VERB
gsjp-14087	426	18	.	.	PUNCT
gsjp-14087	427	1	dt	dt	X
gsjp-14087	427	2	:	:	PUNCT
gsjp-14087	427	3	decision	decision	NOUN
gsjp-14087	427	4	tree	tree	NOUN
gsjp-14087	427	5	;	;	PUNCT
gsjp-14087	427	6	rf	rf	ADJ
gsjp-14087	427	7	:	:	PUNCT
gsjp-14087	427	8	random	random	ADJ
gsjp-14087	427	9	forest	forest	NOUN
gsjp-14087	427	10	;	;	PUNCT
gsjp-14087	427	11	nb	nb	INTJ
gsjp-14087	427	12	:	:	PUNCT
gsjp-14087	427	13	naive	naive	ADJ
gsjp-14087	427	14	bayes	bayes	NOUN
gsjp-14087	427	15	;	;	PUNCT
gsjp-14087	427	16	svm	svm	ADJ
gsjp-14087	427	17	:	:	PUNCT
gsjp-14087	427	18	support	support	NOUN
gsjp-14087	427	19	vector	vector	NOUN
gsjp-14087	427	20	machine	machine	NOUN
gsjp-14087	427	21	89	89	NUM
gsjp-14087	427	22	zentner	zentner	PROPN
gsjp-14087	427	23	&	&	CCONJ
gsjp-14087	427	24	yildirim	yildirim	PROPN
gsjp-14087	427	25	-	-	PUNCT
gsjp-14087	427	26	erbasli	erbasli	NOUN
gsjp-14087	427	27	table	table	NOUN
gsjp-14087	427	28	1	1	NUM
gsjp-14087	427	29	sociodemographic	sociodemographic	ADJ
gsjp-14087	427	30	summary	summary	NOUN
gsjp-14087	427	31	90	90	NUM
gsjp-14087	427	32	response	response	NOUN
gsjp-14087	427	33	time	time	NOUN
gsjp-14087	427	34	to	to	PART
gsjp-14087	427	35	identify	identify	VERB
gsjp-14087	427	36	careless	careless	ADJ
gsjp-14087	427	37	responders	responder	NOUN
gsjp-14087	427	38	table	table	NOUN
gsjp-14087	427	39	2	2	NUM
gsjp-14087	427	40	guide	guide	NOUN
gsjp-14087	427	41	for	for	ADP
gsjp-14087	427	42	severity	severity	NOUN
gsjp-14087	427	43	levels	level	NOUN
gsjp-14087	427	44	of	of	ADP
gsjp-14087	427	45	emotional	emotional	ADJ
gsjp-14087	427	46	distress	distress	NOUN
gsjp-14087	427	47	in	in	ADP
gsjp-14087	427	48	dass-42	dass-42	PROPN
gsjp-14087	427	49	91	91	NUM
gsjp-14087	427	50	zentner	zentner	NOUN
gsjp-14087	427	51	&	&	CCONJ
gsjp-14087	427	52	yildirim	yildirim	PROPN
gsjp-14087	427	53	-	-	PUNCT
gsjp-14087	427	54	erbasli	erbasli	NOUN
gsjp-14087	427	55	table	table	NOUN
gsjp-14087	427	56	3	3	NUM
gsjp-14087	427	57	single	single	ADJ
gsjp-14087	427	58	classification	classification	NOUN
gsjp-14087	427	59	metrics	metric	NOUN
gsjp-14087	427	60	for	for	ADP
gsjp-14087	427	61	emotional	emotional	ADJ
gsjp-14087	427	62	distress	distress	NOUN
gsjp-14087	427	63	by	by	ADP
gsjp-14087	427	64	each	each	DET
gsjp-14087	427	65	level	level	NOUN
gsjp-14087	427	66	92	92	NUM
gsjp-14087	427	67	response	response	NOUN
gsjp-14087	427	68	time	time	NOUN
gsjp-14087	427	69	to	to	PART
gsjp-14087	427	70	identify	identify	VERB
gsjp-14087	427	71	careless	careless	ADJ
gsjp-14087	427	72	responders	responder	NOUN
gsjp-14087	427	73	table	table	NOUN
gsjp-14087	427	74	3	3	NUM
gsjp-14087	427	75	(	(	PUNCT
gsjp-14087	427	76	continued	continue	VERB
gsjp-14087	427	77	)	)	PUNCT
gsjp-14087	427	78	93	93	NUM
gsjp-14087	427	79	zentner	zentner	NOUN
gsjp-14087	427	80	&	&	CCONJ
gsjp-14087	427	81	yildirim	yildirim	PROPN
gsjp-14087	427	82	-	-	PUNCT
gsjp-14087	427	83	erbasli	erbasli	NOUN
gsjp-14087	427	84	table	table	NOUN
gsjp-14087	427	85	3	3	NUM
gsjp-14087	427	86	(	(	PUNCT
gsjp-14087	427	87	continued	continued	ADJ
gsjp-14087	427	88	)	)	PUNCT
gsjp-14087	427	89	note	note	NOUN
gsjp-14087	427	90	.	.	PUNCT
gsjp-14087	428	1	dt	dt	X
gsjp-14087	428	2	:	:	PUNCT
gsjp-14087	428	3	decision	decision	NOUN
gsjp-14087	428	4	tree	tree	NOUN
gsjp-14087	428	5	;	;	PUNCT
gsjp-14087	428	6	rf	rf	ADJ
gsjp-14087	428	7	:	:	PUNCT
gsjp-14087	428	8	random	random	ADJ
gsjp-14087	428	9	forest	forest	NOUN
gsjp-14087	428	10	;	;	PUNCT
gsjp-14087	428	11	nb	nb	INTJ
gsjp-14087	428	12	:	:	PUNCT
gsjp-14087	428	13	naive	naive	ADJ
gsjp-14087	428	14	bayes	bayes	NOUN
gsjp-14087	428	15	;	;	PUNCT
gsjp-14087	428	16	svm	svm	ADJ
gsjp-14087	428	17	:	:	PUNCT
gsjp-14087	428	18	support	support	NOUN
gsjp-14087	428	19	vector	vector	NOUN
gsjp-14087	428	20	machine	machine	NOUN
gsjp-14087	428	21	.	.	PUNCT
gsjp-14087	429	1	bold	bold	ADJ
gsjp-14087	429	2	indicates	indicate	VERB
gsjp-14087	429	3	the	the	DET
gsjp-14087	429	4	highest	high	ADJ
gsjp-14087	429	5	,	,	PUNCT
gsjp-14087	429	6	with	with	ADP
gsjp-14087	429	7	70	70	NUM
gsjp-14087	429	8	%	%	NOUN
gsjp-14087	429	9	acceptable	acceptable	ADJ
gsjp-14087	429	10	and	and	CCONJ
gsjp-14087	429	11	80	80	NUM
gsjp-14087	429	12	%	%	NOUN
gsjp-14087	429	13	optimal	optimal	ADJ
gsjp-14087	429	14	thresholds	threshold	NOUN
gsjp-14087	429	15	in	in	ADP
gsjp-14087	429	16	each	each	DET
gsjp-14087	429	17	subscale	subscale	NOUN
gsjp-14087	429	18	.	.	PUNCT