id	sid	tid	token	lemma	pos
qz20sq89x8q	1	1	the	the	DET
qz20sq89x8q	1	2	problem	problem	NOUN
qz20sq89x8q	1	3	of	of	ADP
qz20sq89x8q	1	4	finding	find	VERB
qz20sq89x8q	1	5	structure	structure	NOUN
qz20sq89x8q	1	6	in	in	ADP
qz20sq89x8q	1	7	big	big	ADJ
qz20sq89x8q	1	8	data	data	NOUN
qz20sq89x8q	1	9	sets	set	NOUN
qz20sq89x8q	1	10	is	be	AUX
qz20sq89x8q	1	11	becoming	become	VERB
qz20sq89x8q	1	12	increasingly	increasingly	ADV
qz20sq89x8q	1	13	relevant	relevant	ADJ
qz20sq89x8q	1	14	to	to	ADP
qz20sq89x8q	1	15	psychologists	psychologist	NOUN
qz20sq89x8q	1	16	as	as	SCONJ
qz20sq89x8q	1	17	it	it	PRON
qz20sq89x8q	1	18	becomes	become	VERB
qz20sq89x8q	1	19	easier	easy	ADJ
qz20sq89x8q	1	20	and	and	CCONJ
qz20sq89x8q	1	21	cheaper	cheap	ADJ
qz20sq89x8q	1	22	to	to	PART
qz20sq89x8q	1	23	collect	collect	VERB
qz20sq89x8q	1	24	data	datum	NOUN
qz20sq89x8q	1	25	on	on	ADP
qz20sq89x8q	1	26	human	human	ADJ
qz20sq89x8q	1	27	behavior	behavior	NOUN
qz20sq89x8q	1	28	.	.	PUNCT
qz20sq89x8q	2	1	this	this	DET
qz20sq89x8q	2	2	dissertation	dissertation	NOUN
qz20sq89x8q	2	3	focuses	focus	VERB
qz20sq89x8q	2	4	on	on	ADP
qz20sq89x8q	2	5	the	the	DET
qz20sq89x8q	2	6	problem	problem	NOUN
qz20sq89x8q	2	7	of	of	ADP
qz20sq89x8q	2	8	identifying	identify	VERB
qz20sq89x8q	2	9	important	important	ADJ
qz20sq89x8q	2	10	structural	structural	ADJ
qz20sq89x8q	2	11	features	feature	NOUN
qz20sq89x8q	2	12	like	like	ADP
qz20sq89x8q	2	13	main	main	ADJ
qz20sq89x8q	2	14	effects	effect	NOUN
qz20sq89x8q	2	15	,	,	PUNCT
qz20sq89x8q	2	16	nonlinear	nonlinear	ADJ
qz20sq89x8q	2	17	effects	effect	NOUN
qz20sq89x8q	2	18	,	,	PUNCT
qz20sq89x8q	2	19	and	and	CCONJ
qz20sq89x8q	2	20	interactions	interaction	NOUN
qz20sq89x8q	2	21	in	in	ADP
qz20sq89x8q	2	22	big	big	ADJ
qz20sq89x8q	2	23	data	datum	NOUN
qz20sq89x8q	2	24	sets	set	NOUN
qz20sq89x8q	2	25	when	when	SCONJ
qz20sq89x8q	2	26	the	the	DET
qz20sq89x8q	2	27	number	number	NOUN
qz20sq89x8q	2	28	of	of	ADP
qz20sq89x8q	2	29	predictors	predictor	NOUN
qz20sq89x8q	2	30	is	be	AUX
qz20sq89x8q	2	31	large	large	ADJ
qz20sq89x8q	2	32	.	.	PUNCT
qz20sq89x8q	3	1	in	in	ADP
qz20sq89x8q	3	2	general	general	ADJ
qz20sq89x8q	3	3	,	,	PUNCT
qz20sq89x8q	3	4	this	this	DET
qz20sq89x8q	3	5	goal	goal	NOUN
qz20sq89x8q	3	6	can	can	AUX
qz20sq89x8q	3	7	be	be	AUX
qz20sq89x8q	3	8	referred	refer	VERB
qz20sq89x8q	3	9	to	to	ADP
qz20sq89x8q	3	10	as	as	ADP
qz20sq89x8q	3	11	exploratory	exploratory	ADJ
qz20sq89x8q	3	12	regression	regression	NOUN
qz20sq89x8q	3	13	analysis	analysis	NOUN
qz20sq89x8q	3	14	.	.	PUNCT
qz20sq89x8q	4	1	exploratory	exploratory	ADJ
qz20sq89x8q	4	2	regression	regression	NOUN
qz20sq89x8q	4	3	analysis	analysis	NOUN
qz20sq89x8q	4	4	is	be	AUX
qz20sq89x8q	4	5	beneficial	beneficial	ADJ
qz20sq89x8q	4	6	because	because	SCONJ
qz20sq89x8q	4	7	the	the	DET
qz20sq89x8q	4	8	results	result	NOUN
qz20sq89x8q	4	9	suggest	suggest	VERB
qz20sq89x8q	4	10	testable	testable	ADJ
qz20sq89x8q	4	11	hypotheses	hypothesis	NOUN
qz20sq89x8q	4	12	,	,	PUNCT
qz20sq89x8q	4	13	can	can	AUX
qz20sq89x8q	4	14	limit	limit	VERB
qz20sq89x8q	4	15	the	the	DET
qz20sq89x8q	4	16	number	number	NOUN
qz20sq89x8q	4	17	of	of	ADP
qz20sq89x8q	4	18	plausible	plausible	ADJ
qz20sq89x8q	4	19	models	model	NOUN
qz20sq89x8q	4	20	,	,	PUNCT
qz20sq89x8q	4	21	and	and	CCONJ
qz20sq89x8q	4	22	help	help	VERB
qz20sq89x8q	4	23	avoid	avoid	VERB
qz20sq89x8q	4	24	errors	error	NOUN
qz20sq89x8q	4	25	in	in	ADP
qz20sq89x8q	4	26	model	model	NOUN
qz20sq89x8q	4	27	specification	specification	NOUN
qz20sq89x8q	4	28	.	.	PUNCT
qz20sq89x8q	5	1	exploratory	exploratory	ADJ
qz20sq89x8q	5	2	regression	regression	NOUN
qz20sq89x8q	5	3	analysis	analysis	NOUN
qz20sq89x8q	5	4	is	be	AUX
qz20sq89x8q	5	5	usually	usually	ADV
qz20sq89x8q	5	6	carried	carry	VERB
qz20sq89x8q	5	7	out	out	ADP
qz20sq89x8q	5	8	using	use	VERB
qz20sq89x8q	5	9	basic	basic	ADJ
qz20sq89x8q	5	10	data	datum	NOUN
qz20sq89x8q	5	11	visualization	visualization	NOUN
qz20sq89x8q	5	12	techniques	technique	NOUN
qz20sq89x8q	5	13	,	,	PUNCT
qz20sq89x8q	5	14	simple	simple	ADJ
qz20sq89x8q	5	15	statistical	statistical	ADJ
qz20sq89x8q	5	16	models	model	NOUN
qz20sq89x8q	5	17	,	,	PUNCT
qz20sq89x8q	5	18	or	or	CCONJ
qz20sq89x8q	5	19	by	by	ADP
qz20sq89x8q	5	20	fitting	fit	VERB
qz20sq89x8q	5	21	a	a	DET
qz20sq89x8q	5	22	number	number	NOUN
qz20sq89x8q	5	23	of	of	ADP
qz20sq89x8q	5	24	parametric	parametric	NOUN
qz20sq89x8q	5	25	models	model	NOUN
qz20sq89x8q	5	26	and	and	CCONJ
qz20sq89x8q	5	27	selecting	select	VERB
qz20sq89x8q	5	28	the	the	DET
qz20sq89x8q	5	29	best	good	ADJ
qz20sq89x8q	5	30	from	from	ADP
qz20sq89x8q	5	31	among	among	ADP
qz20sq89x8q	5	32	them	they	PRON
qz20sq89x8q	5	33	.	.	PUNCT
qz20sq89x8q	6	1	however	however	ADV
qz20sq89x8q	6	2	,	,	PUNCT
qz20sq89x8q	6	3	these	these	DET
qz20sq89x8q	6	4	procedures	procedure	NOUN
qz20sq89x8q	6	5	can	can	AUX
qz20sq89x8q	6	6	require	require	VERB
qz20sq89x8q	6	7	strong	strong	ADJ
qz20sq89x8q	6	8	assumptions	assumption	NOUN
qz20sq89x8q	6	9	and	and	CCONJ
qz20sq89x8q	6	10	may	may	AUX
qz20sq89x8q	6	11	not	not	PART
qz20sq89x8q	6	12	be	be	AUX
qz20sq89x8q	6	13	feasible	feasible	ADJ
qz20sq89x8q	6	14	when	when	SCONJ
qz20sq89x8q	6	15	the	the	DET
qz20sq89x8q	6	16	number	number	NOUN
qz20sq89x8q	6	17	of	of	ADP
qz20sq89x8q	6	18	predictors	predictor	NOUN
qz20sq89x8q	6	19	is	be	AUX
qz20sq89x8q	6	20	large.gradient	large.gradient	ADJ
qz20sq89x8q	6	21	tree	tree	NOUN
qz20sq89x8q	6	22	boosting	boost	VERB
qz20sq89x8q	6	23	(	(	PUNCT
qz20sq89x8q	6	24	friedman_greedy_2001	friedman_greedy_2001	PROPN
qz20sq89x8q	6	25	)	)	PUNCT
qz20sq89x8q	6	26	is	be	AUX
qz20sq89x8q	6	27	a	a	DET
qz20sq89x8q	6	28	promising	promising	ADJ
qz20sq89x8q	6	29	alternative	alternative	NOUN
qz20sq89x8q	6	30	for	for	ADP
qz20sq89x8q	6	31	exploratory	exploratory	ADJ
qz20sq89x8q	6	32	regression	regression	NOUN
qz20sq89x8q	6	33	analysis	analysis	NOUN
qz20sq89x8q	6	34	because	because	SCONJ
qz20sq89x8q	6	35	it	it	PRON
qz20sq89x8q	6	36	builds	build	VERB
qz20sq89x8q	6	37	an	an	DET
qz20sq89x8q	6	38	interpretable	interpretable	ADJ
qz20sq89x8q	6	39	model	model	NOUN
qz20sq89x8q	6	40	that	that	PRON
qz20sq89x8q	6	41	approximates	approximate	VERB
qz20sq89x8q	6	42	nonlinear	nonlinear	ADJ
qz20sq89x8q	6	43	effects	effect	NOUN
qz20sq89x8q	6	44	and	and	CCONJ
qz20sq89x8q	6	45	interactions	interaction	NOUN
qz20sq89x8q	6	46	among	among	ADP
qz20sq89x8q	6	47	predictors	predictor	NOUN
qz20sq89x8q	6	48	without	without	ADP
qz20sq89x8q	6	49	a	a	DET
qz20sq89x8q	6	50	priori	priori	ADJ
qz20sq89x8q	6	51	specification	specification	NOUN
qz20sq89x8q	6	52	.	.	PUNCT
qz20sq89x8q	7	1	however	however	ADV
qz20sq89x8q	7	2	,	,	PUNCT
qz20sq89x8q	7	3	it	it	PRON
qz20sq89x8q	7	4	is	be	AUX
qz20sq89x8q	7	5	not	not	PART
qz20sq89x8q	7	6	clear	clear	ADJ
qz20sq89x8q	7	7	how	how	SCONJ
qz20sq89x8q	7	8	to	to	PART
qz20sq89x8q	7	9	build	build	VERB
qz20sq89x8q	7	10	and	and	CCONJ
qz20sq89x8q	7	11	interpret	interpret	VERB
qz20sq89x8q	7	12	gradient	gradient	NOUN
qz20sq89x8q	7	13	tree	tree	NOUN
qz20sq89x8q	7	14	boosting	boost	VERB
qz20sq89x8q	7	15	models	model	NOUN
qz20sq89x8q	7	16	in	in	ADP
qz20sq89x8q	7	17	the	the	DET
qz20sq89x8q	7	18	context	context	NOUN
qz20sq89x8q	7	19	of	of	ADP
qz20sq89x8q	7	20	multivariate	multivariate	NOUN
qz20sq89x8q	7	21	,	,	PUNCT
qz20sq89x8q	7	22	longitudinal	longitudinal	ADJ
qz20sq89x8q	7	23	,	,	PUNCT
qz20sq89x8q	7	24	and	and	CCONJ
qz20sq89x8q	7	25	hierarchically	hierarchically	ADV
qz20sq89x8q	7	26	clustered	cluster	VERB
qz20sq89x8q	7	27	data	datum	NOUN
qz20sq89x8q	7	28	commonly	commonly	ADV
qz20sq89x8q	7	29	found	find	VERB
qz20sq89x8q	7	30	in	in	ADP
qz20sq89x8q	7	31	psychological	psychological	ADJ
qz20sq89x8q	7	32	research.this	research.this	NOUN
qz20sq89x8q	7	33	dissertation	dissertation	NOUN
qz20sq89x8q	7	34	develops	develop	VERB
qz20sq89x8q	7	35	two	two	NUM
qz20sq89x8q	7	36	procedures	procedure	NOUN
qz20sq89x8q	7	37	for	for	ADP
qz20sq89x8q	7	38	estimating	estimate	VERB
qz20sq89x8q	7	39	gradient	gradient	NOUN
qz20sq89x8q	7	40	tree	tree	NOUN
qz20sq89x8q	7	41	boosting	boost	VERB
qz20sq89x8q	7	42	models	model	NOUN
qz20sq89x8q	7	43	for	for	ADP
qz20sq89x8q	7	44	multivariate	multivariate	NOUN
qz20sq89x8q	7	45	,	,	PUNCT
qz20sq89x8q	7	46	longitudinal	longitudinal	ADJ
qz20sq89x8q	7	47	and	and	CCONJ
qz20sq89x8q	7	48	hierarchically	hierarchically	ADV
qz20sq89x8q	7	49	clustered	cluster	VERB
qz20sq89x8q	7	50	data	datum	NOUN
qz20sq89x8q	7	51	.	.	PUNCT
qz20sq89x8q	8	1	multivariate	multivariate	NOUN
qz20sq89x8q	8	2	tree	tree	NOUN
qz20sq89x8q	8	3	boosting	boost	VERB
qz20sq89x8q	8	4	selects	select	NOUN
qz20sq89x8q	8	5	predictors	predictor	NOUN
qz20sq89x8q	8	6	that	that	PRON
qz20sq89x8q	8	7	explain	explain	VERB
qz20sq89x8q	8	8	covariance	covariance	NOUN
qz20sq89x8q	8	9	in	in	ADP
qz20sq89x8q	8	10	multiple	multiple	ADJ
qz20sq89x8q	8	11	outcomes	outcome	NOUN
qz20sq89x8q	8	12	.	.	PUNCT
qz20sq89x8q	9	1	mixed	mixed	ADJ
qz20sq89x8q	9	2	effects	effect	NOUN
qz20sq89x8q	9	3	tree	tree	NOUN
qz20sq89x8q	9	4	boosting	boosting	NOUN
qz20sq89x8q	9	5	takes	take	VERB
qz20sq89x8q	9	6	hierarchically	hierarchically	ADV
qz20sq89x8q	9	7	clustered	cluster	VERB
qz20sq89x8q	9	8	data	datum	NOUN
qz20sq89x8q	9	9	into	into	ADP
qz20sq89x8q	9	10	account	account	NOUN
qz20sq89x8q	9	11	by	by	ADP
qz20sq89x8q	9	12	treating	treat	VERB
qz20sq89x8q	9	13	a	a	DET
qz20sq89x8q	9	14	grouping	group	VERB
qz20sq89x8q	9	15	variable	variable	NOUN
qz20sq89x8q	9	16	as	as	ADP
qz20sq89x8q	9	17	random	random	ADJ
qz20sq89x8q	9	18	.	.	PUNCT
qz20sq89x8q	10	1	longitudinal	longitudinal	ADJ
qz20sq89x8q	10	2	data	datum	NOUN
qz20sq89x8q	10	3	can	can	AUX
qz20sq89x8q	10	4	be	be	AUX
qz20sq89x8q	10	5	modeled	model	VERB
qz20sq89x8q	10	6	in	in	ADP
qz20sq89x8q	10	7	boosted	boosted	ADJ
qz20sq89x8q	10	8	decision	decision	NOUN
qz20sq89x8q	10	9	trees	tree	NOUN
qz20sq89x8q	10	10	by	by	ADP
qz20sq89x8q	10	11	including	include	VERB
qz20sq89x8q	10	12	time	time	NOUN
qz20sq89x8q	10	13	as	as	ADP
qz20sq89x8q	10	14	a	a	DET
qz20sq89x8q	10	15	candidate	candidate	NOUN
qz20sq89x8q	10	16	for	for	ADP
qz20sq89x8q	10	17	splitting	splitting	NOUN
qz20sq89x8q	10	18	in	in	ADP
qz20sq89x8q	10	19	mixed	mixed	ADJ
qz20sq89x8q	10	20	effects	effect	NOUN
qz20sq89x8q	10	21	tree	tree	NOUN
qz20sq89x8q	10	22	boosting	boost	VERB
qz20sq89x8q	10	23	.	.	PUNCT
qz20sq89x8q	11	1	these	these	DET
qz20sq89x8q	11	2	procedures	procedure	NOUN
qz20sq89x8q	11	3	are	be	AUX
qz20sq89x8q	11	4	illustrated	illustrate	VERB
qz20sq89x8q	11	5	by	by	ADP
qz20sq89x8q	11	6	application	application	NOUN
qz20sq89x8q	11	7	to	to	ADP
qz20sq89x8q	11	8	real	real	ADJ
qz20sq89x8q	11	9	data	datum	NOUN
qz20sq89x8q	11	10	.	.	PUNCT
qz20sq89x8q	12	1	simulations	simulation	NOUN
qz20sq89x8q	12	2	demonstrate	demonstrate	VERB
qz20sq89x8q	12	3	that	that	SCONJ
qz20sq89x8q	12	4	the	the	DET
qz20sq89x8q	12	5	methods	method	NOUN
qz20sq89x8q	12	6	balance	balance	VERB
qz20sq89x8q	12	7	true	true	ADJ
qz20sq89x8q	12	8	and	and	CCONJ
qz20sq89x8q	12	9	false	false	ADJ
qz20sq89x8q	12	10	positive	positive	ADJ
qz20sq89x8q	12	11	rates	rate	NOUN
qz20sq89x8q	12	12	when	when	SCONJ
qz20sq89x8q	12	13	selecting	select	VERB
qz20sq89x8q	12	14	variables	variable	NOUN
qz20sq89x8q	12	15	,	,	PUNCT
qz20sq89x8q	12	16	and	and	CCONJ
qz20sq89x8q	12	17	achieve	achieve	VERB
qz20sq89x8q	12	18	low	low	ADJ
qz20sq89x8q	12	19	prediction	prediction	NOUN
qz20sq89x8q	12	20	error	error	NOUN
qz20sq89x8q	12	21	at	at	ADP
qz20sq89x8q	12	22	sample	sample	NOUN
qz20sq89x8q	12	23	and	and	CCONJ
qz20sq89x8q	12	24	effect	effect	NOUN
qz20sq89x8q	12	25	sizes	size	NOUN
qz20sq89x8q	12	26	commonly	commonly	ADV
qz20sq89x8q	12	27	observed	observe	VERB
qz20sq89x8q	12	28	in	in	ADP
qz20sq89x8q	12	29	psychology	psychology	NOUN
qz20sq89x8q	12	30	.	.	PUNCT