id	sid	tid	token	lemma	pos
h128nc60x08	1	1	the	the	DET
h128nc60x08	1	2	randomized	randomized	ADJ
h128nc60x08	1	3	pretest	pretest	ADJ
h128nc60x08	1	4	posttest	posttest	NOUN
h128nc60x08	1	5	(	(	PUNCT
h128nc60x08	1	6	rpp	rpp	PROPN
h128nc60x08	1	7	)	)	PUNCT
h128nc60x08	1	8	study	study	NOUN
h128nc60x08	1	9	is	be	AUX
h128nc60x08	1	10	a	a	DET
h128nc60x08	1	11	common	common	ADJ
h128nc60x08	1	12	experimental	experimental	ADJ
h128nc60x08	1	13	design	design	NOUN
h128nc60x08	1	14	in	in	ADP
h128nc60x08	1	15	psychology	psychology	NOUN
h128nc60x08	1	16	.	.	PUNCT
h128nc60x08	2	1	however	however	ADV
h128nc60x08	2	2	,	,	PUNCT
h128nc60x08	2	3	missing	miss	VERB
h128nc60x08	2	4	data	datum	NOUN
h128nc60x08	2	5	at	at	ADP
h128nc60x08	2	6	posttest	posttest	NOUN
h128nc60x08	2	7	is	be	AUX
h128nc60x08	2	8	a	a	DET
h128nc60x08	2	9	ubiquitous	ubiquitous	ADJ
h128nc60x08	2	10	occurrence	occurrence	NOUN
h128nc60x08	2	11	with	with	ADP
h128nc60x08	2	12	this	this	DET
h128nc60x08	2	13	type	type	NOUN
h128nc60x08	2	14	of	of	ADP
h128nc60x08	2	15	design	design	NOUN
h128nc60x08	2	16	.	.	PUNCT
h128nc60x08	3	1	although	although	SCONJ
h128nc60x08	3	2	missing	miss	VERB
h128nc60x08	3	3	data	datum	NOUN
h128nc60x08	3	4	handling	handling	NOUN
h128nc60x08	3	5	has	have	AUX
h128nc60x08	3	6	seen	see	VERB
h128nc60x08	3	7	advances	advance	NOUN
h128nc60x08	3	8	over	over	ADP
h128nc60x08	3	9	the	the	DET
h128nc60x08	3	10	past	past	ADJ
h128nc60x08	3	11	several	several	ADJ
h128nc60x08	3	12	decades	decade	NOUN
h128nc60x08	3	13	,	,	PUNCT
h128nc60x08	3	14	effective	effective	ADJ
h128nc60x08	3	15	and	and	CCONJ
h128nc60x08	3	16	practical	practical	ADJ
h128nc60x08	3	17	solutions	solution	NOUN
h128nc60x08	3	18	for	for	ADP
h128nc60x08	3	19	handling	handle	VERB
h128nc60x08	3	20	missing	miss	VERB
h128nc60x08	3	21	data	datum	NOUN
h128nc60x08	3	22	in	in	ADP
h128nc60x08	3	23	rpp	rpp	PROPN
h128nc60x08	3	24	designs	design	NOUN
h128nc60x08	3	25	are	be	AUX
h128nc60x08	3	26	lacking	lack	VERB
h128nc60x08	3	27	.	.	PUNCT
h128nc60x08	4	1	this	this	DET
h128nc60x08	4	2	dissertation	dissertation	NOUN
h128nc60x08	4	3	aims	aim	VERB
h128nc60x08	4	4	to	to	PART
h128nc60x08	4	5	fill	fill	VERB
h128nc60x08	4	6	this	this	DET
h128nc60x08	4	7	gap	gap	NOUN
h128nc60x08	4	8	in	in	ADP
h128nc60x08	4	9	the	the	DET
h128nc60x08	4	10	literature	literature	NOUN
h128nc60x08	4	11	by	by	ADP
h128nc60x08	4	12	comparing	compare	VERB
h128nc60x08	4	13	a	a	DET
h128nc60x08	4	14	variety	variety	NOUN
h128nc60x08	4	15	of	of	ADP
h128nc60x08	4	16	analysis	analysis	NOUN
h128nc60x08	4	17	models	model	NOUN
h128nc60x08	4	18	for	for	ADP
h128nc60x08	4	19	estimating	estimate	VERB
h128nc60x08	4	20	the	the	DET
h128nc60x08	4	21	average	average	ADJ
h128nc60x08	4	22	treatment	treatment	NOUN
h128nc60x08	4	23	effect	effect	NOUN
h128nc60x08	4	24	(	(	PUNCT
h128nc60x08	4	25	ate	eat	VERB
h128nc60x08	4	26	)	)	PUNCT
h128nc60x08	4	27	and	and	CCONJ
h128nc60x08	4	28	its	its	PRON
h128nc60x08	4	29	standardized	standardized	ADJ
h128nc60x08	4	30	counterpart	counterpart	NOUN
h128nc60x08	4	31	,	,	PUNCT
h128nc60x08	4	32	the	the	DET
h128nc60x08	4	33	standardized	standardized	ADJ
h128nc60x08	4	34	mean	mean	ADJ
h128nc60x08	4	35	difference	difference	NOUN
h128nc60x08	4	36	(	(	PUNCT
h128nc60x08	4	37	smd	smd	NOUN
h128nc60x08	4	38	)	)	PUNCT
h128nc60x08	4	39	,	,	PUNCT
h128nc60x08	4	40	under	under	ADP
h128nc60x08	4	41	two	two	NUM
h128nc60x08	4	42	different	different	ADJ
h128nc60x08	4	43	missing	missing	ADJ
h128nc60x08	4	44	data	datum	NOUN
h128nc60x08	4	45	handling	handling	NOUN
h128nc60x08	4	46	techniques	technique	NOUN
h128nc60x08	4	47	,	,	PUNCT
h128nc60x08	4	48	listwise	listwise	ADJ
h128nc60x08	4	49	deletion	deletion	NOUN
h128nc60x08	4	50	(	(	PUNCT
h128nc60x08	4	51	ld	ld	PROPN
h128nc60x08	4	52	)	)	PUNCT
h128nc60x08	4	53	and	and	CCONJ
h128nc60x08	4	54	multiple	multiple	ADJ
h128nc60x08	4	55	imputation	imputation	NOUN
h128nc60x08	4	56	(	(	PUNCT
h128nc60x08	4	57	mi	mi	PROPN
h128nc60x08	4	58	)	)	PUNCT
h128nc60x08	4	59	.	.	PUNCT
h128nc60x08	5	1	the	the	DET
h128nc60x08	5	2	analysis	analysis	NOUN
h128nc60x08	5	3	models	model	NOUN
h128nc60x08	5	4	of	of	ADP
h128nc60x08	5	5	interest	interest	NOUN
h128nc60x08	5	6	were	be	AUX
h128nc60x08	5	7	studied	study	VERB
h128nc60x08	5	8	under	under	ADP
h128nc60x08	5	9	three	three	NUM
h128nc60x08	5	10	specific	specific	ADJ
h128nc60x08	5	11	patterns	pattern	NOUN
h128nc60x08	5	12	of	of	ADP
h128nc60x08	5	13	missing	miss	VERB
h128nc60x08	5	14	at	at	ADP
h128nc60x08	5	15	random	random	ADJ
h128nc60x08	5	16	(	(	PUNCT
h128nc60x08	5	17	mar	mar	PROPN
h128nc60x08	5	18	)	)	PUNCT
h128nc60x08	5	19	data	datum	NOUN
h128nc60x08	5	20	,	,	PUNCT
h128nc60x08	5	21	to	to	PART
h128nc60x08	5	22	model	model	VERB
h128nc60x08	5	23	plausible	plausible	ADJ
h128nc60x08	5	24	scenarios	scenario	NOUN
h128nc60x08	5	25	by	by	ADP
h128nc60x08	5	26	which	which	PRON
h128nc60x08	5	27	data	datum	NOUN
h128nc60x08	5	28	may	may	AUX
h128nc60x08	5	29	be	be	AUX
h128nc60x08	5	30	missing	miss	VERB
h128nc60x08	5	31	.	.	PUNCT
h128nc60x08	6	1	moreover	moreover	ADV
h128nc60x08	6	2	,	,	PUNCT
h128nc60x08	6	3	data	datum	NOUN
h128nc60x08	6	4	were	be	AUX
h128nc60x08	6	5	generated	generate	VERB
h128nc60x08	6	6	from	from	ADP
h128nc60x08	6	7	a	a	DET
h128nc60x08	6	8	growth	growth	NOUN
h128nc60x08	6	9	–	–	PUNCT
h128nc60x08	6	10	curve	curve	NOUN
h128nc60x08	6	11	perspective	perspective	NOUN
h128nc60x08	6	12	,	,	PUNCT
h128nc60x08	6	13	under	under	ADP
h128nc60x08	6	14	the	the	DET
h128nc60x08	6	15	assumption	assumption	NOUN
h128nc60x08	6	16	that	that	SCONJ
h128nc60x08	6	17	change	change	NOUN
h128nc60x08	6	18	is	be	AUX
h128nc60x08	6	19	a	a	DET
h128nc60x08	6	20	within	within	ADJ
h128nc60x08	6	21	–	–	PUNCT
h128nc60x08	6	22	person	person	NOUN
h128nc60x08	6	23	phenomenon	phenomenon	NOUN
h128nc60x08	6	24	,	,	PUNCT
h128nc60x08	6	25	regardless	regardless	ADV
h128nc60x08	6	26	of	of	ADP
h128nc60x08	6	27	the	the	DET
h128nc60x08	6	28	type	type	NOUN
h128nc60x08	6	29	of	of	ADP
h128nc60x08	6	30	design	design	NOUN
h128nc60x08	6	31	used	use	VERB
h128nc60x08	6	32	to	to	PART
h128nc60x08	6	33	measure	measure	VERB
h128nc60x08	6	34	the	the	DET
h128nc60x08	6	35	construct	construct	NOUN
h128nc60x08	6	36	of	of	ADP
h128nc60x08	6	37	interest	interest	NOUN
h128nc60x08	6	38	.	.	PUNCT
h128nc60x08	7	1	although	although	SCONJ
h128nc60x08	7	2	data	datum	NOUN
h128nc60x08	7	3	were	be	AUX
h128nc60x08	7	4	generated	generate	VERB
h128nc60x08	7	5	from	from	ADP
h128nc60x08	7	6	growth	growth	NOUN
h128nc60x08	7	7	–	–	PUNCT
h128nc60x08	7	8	curve	curve	NOUN
h128nc60x08	7	9	models	model	NOUN
h128nc60x08	7	10	,	,	PUNCT
h128nc60x08	7	11	model	model	NOUN
h128nc60x08	7	12	assumptions	assumption	NOUN
h128nc60x08	7	13	(	(	PUNCT
h128nc60x08	7	14	e.g.	e.g.	X
h128nc60x08	7	15	,	,	PUNCT
h128nc60x08	7	16	linearity	linearity	NOUN
h128nc60x08	7	17	and	and	CCONJ
h128nc60x08	7	18	homogeneity	homogeneity	NOUN
h128nc60x08	7	19	of	of	ADP
h128nc60x08	7	20	regression	regression	NOUN
h128nc60x08	7	21	)	)	PUNCT
h128nc60x08	7	22	that	that	PRON
h128nc60x08	7	23	may	may	AUX
h128nc60x08	7	24	have	have	VERB
h128nc60x08	7	25	more	more	ADJ
h128nc60x08	7	26	deleterious	deleterious	ADJ
h128nc60x08	7	27	consequences	consequence	NOUN
h128nc60x08	7	28	when	when	SCONJ
h128nc60x08	7	29	violated	violate	VERB
h128nc60x08	7	30	under	under	ADP
h128nc60x08	7	31	missing	miss	VERB
h128nc60x08	7	32	data	datum	NOUN
h128nc60x08	7	33	are	be	AUX
h128nc60x08	7	34	specified	specify	VERB
h128nc60x08	7	35	with	with	ADP
h128nc60x08	7	36	respect	respect	NOUN
h128nc60x08	7	37	to	to	ADP
h128nc60x08	7	38	the	the	DET
h128nc60x08	7	39	pretest	pret	ADJ
h128nc60x08	7	40	posttest	posttest	NOUN
h128nc60x08	7	41	relationship	relationship	NOUN
h128nc60x08	7	42	at	at	ADP
h128nc60x08	7	43	the	the	DET
h128nc60x08	7	44	between	between	ADP
h128nc60x08	7	45	–	–	PUNCT
h128nc60x08	7	46	person	person	NOUN
h128nc60x08	7	47	level	level	NOUN
h128nc60x08	7	48	.	.	PUNCT
h128nc60x08	8	1	thus	thus	ADV
h128nc60x08	8	2	,	,	PUNCT
h128nc60x08	8	3	it	it	PRON
h128nc60x08	8	4	was	be	AUX
h128nc60x08	8	5	first	first	ADV
h128nc60x08	8	6	assessed	assess	VERB
h128nc60x08	8	7	whether	whether	SCONJ
h128nc60x08	8	8	the	the	DET
h128nc60x08	8	9	aforementioned	aforementioned	ADJ
h128nc60x08	8	10	assumptions	assumption	NOUN
h128nc60x08	8	11	were	be	AUX
h128nc60x08	8	12	violated	violate	VERB
h128nc60x08	8	13	at	at	ADP
h128nc60x08	8	14	the	the	DET
h128nc60x08	8	15	between	between	ADP
h128nc60x08	8	16	–	–	PUNCT
h128nc60x08	8	17	person	person	NOUN
h128nc60x08	8	18	level	level	NOUN
h128nc60x08	8	19	under	under	ADP
h128nc60x08	8	20	various	various	ADJ
h128nc60x08	8	21	random	random	ADJ
h128nc60x08	8	22	effect	effect	NOUN
h128nc60x08	8	23	specifications	specification	NOUN
h128nc60x08	8	24	.	.	PUNCT
h128nc60x08	9	1	results	result	NOUN
h128nc60x08	9	2	indicated	indicate	VERB
h128nc60x08	9	3	that	that	SCONJ
h128nc60x08	9	4	ld	ld	PROPN
h128nc60x08	9	5	provided	provide	VERB
h128nc60x08	9	6	unbiased	unbiased	ADJ
h128nc60x08	9	7	and	and	CCONJ
h128nc60x08	9	8	efficient	efficient	ADJ
h128nc60x08	9	9	estimates	estimate	NOUN
h128nc60x08	9	10	of	of	ADP
h128nc60x08	9	11	the	the	DET
h128nc60x08	9	12	ate	ate	NOUN
h128nc60x08	9	13	across	across	ADP
h128nc60x08	9	14	all	all	DET
h128nc60x08	9	15	sample	sample	NOUN
h128nc60x08	9	16	sizes	size	NOUN
h128nc60x08	9	17	and	and	CCONJ
h128nc60x08	9	18	effect	effect	NOUN
h128nc60x08	9	19	sizes	size	NOUN
h128nc60x08	9	20	,	,	PUNCT
h128nc60x08	9	21	as	as	ADV
h128nc60x08	9	22	long	long	ADV
h128nc60x08	9	23	as	as	SCONJ
h128nc60x08	9	24	the	the	DET
h128nc60x08	9	25	analysis	analysis	NOUN
h128nc60x08	9	26	model	model	NOUN
h128nc60x08	9	27	was	be	AUX
h128nc60x08	9	28	appropriately	appropriately	ADV
h128nc60x08	9	29	specified	specify	VERB
h128nc60x08	9	30	to	to	PART
h128nc60x08	9	31	handle	handle	VERB
h128nc60x08	9	32	the	the	DET
h128nc60x08	9	33	violated	violated	ADJ
h128nc60x08	9	34	linearity	linearity	NOUN
h128nc60x08	9	35	or	or	CCONJ
h128nc60x08	9	36	homogeneity	homogeneity	NOUN
h128nc60x08	9	37	of	of	ADP
h128nc60x08	9	38	regression	regression	NOUN
h128nc60x08	9	39	assumption	assumption	NOUN
h128nc60x08	9	40	.	.	PUNCT
h128nc60x08	10	1	for	for	ADP
h128nc60x08	10	2	example	example	NOUN
h128nc60x08	10	3	,	,	PUNCT
h128nc60x08	10	4	although	although	SCONJ
h128nc60x08	10	5	standard	standard	ADJ
h128nc60x08	10	6	analysis	analysis	NOUN
h128nc60x08	10	7	of	of	ADP
h128nc60x08	10	8	covariance	covariance	NOUN
h128nc60x08	10	9	provides	provide	VERB
h128nc60x08	10	10	an	an	DET
h128nc60x08	10	11	unbiased	unbiased	ADJ
h128nc60x08	10	12	ate	ate	NOUN
h128nc60x08	10	13	estimate	estimate	NOUN
h128nc60x08	10	14	with	with	ADP
h128nc60x08	10	15	complete	complete	ADJ
h128nc60x08	10	16	data	datum	NOUN
h128nc60x08	10	17	under	under	ADP
h128nc60x08	10	18	heterogeneity	heterogeneity	NOUN
h128nc60x08	10	19	of	of	ADP
h128nc60x08	10	20	regression	regression	NOUN
h128nc60x08	10	21	,	,	PUNCT
h128nc60x08	10	22	including	include	VERB
h128nc60x08	10	23	the	the	DET
h128nc60x08	10	24	pretest	pret	ADJ
h128nc60x08	10	25	by	by	ADP
h128nc60x08	10	26	group	group	NOUN
h128nc60x08	10	27	interaction	interaction	NOUN
h128nc60x08	10	28	in	in	ADP
h128nc60x08	10	29	the	the	DET
h128nc60x08	10	30	analysis	analysis	NOUN
h128nc60x08	10	31	model	model	NOUN
h128nc60x08	10	32	and	and	CCONJ
h128nc60x08	10	33	centering	center	VERB
h128nc60x08	10	34	pretest	pretest	NOUN
h128nc60x08	10	35	with	with	ADP
h128nc60x08	10	36	respect	respect	NOUN
h128nc60x08	10	37	to	to	ADP
h128nc60x08	10	38	the	the	DET
h128nc60x08	10	39	mean	mean	NOUN
h128nc60x08	10	40	of	of	ADP
h128nc60x08	10	41	all	all	DET
h128nc60x08	10	42	participants	participant	NOUN
h128nc60x08	10	43	were	be	AUX
h128nc60x08	10	44	necessary	necessary	ADJ
h128nc60x08	10	45	when	when	SCONJ
h128nc60x08	10	46	estimating	estimate	VERB
h128nc60x08	10	47	the	the	DET
h128nc60x08	10	48	ate	ate	NOUN
h128nc60x08	10	49	using	use	VERB
h128nc60x08	10	50	ld	ld	PROPN
h128nc60x08	10	51	under	under	ADP
h128nc60x08	10	52	these	these	DET
h128nc60x08	10	53	conditions	condition	NOUN
h128nc60x08	10	54	in	in	ADP
h128nc60x08	10	55	most	most	ADJ
h128nc60x08	10	56	missingness	missingness	NOUN
h128nc60x08	10	57	patterns	pattern	NOUN
h128nc60x08	10	58	.	.	PUNCT
h128nc60x08	11	1	moreover	moreover	ADV
h128nc60x08	11	2	,	,	PUNCT
h128nc60x08	11	3	the	the	DET
h128nc60x08	11	4	type	type	NOUN
h128nc60x08	11	5	of	of	ADP
h128nc60x08	11	6	missingness	missingness	NOUN
h128nc60x08	11	7	pattern	pattern	NOUN
h128nc60x08	11	8	within	within	ADP
h128nc60x08	11	9	mar	mar	PROPN
h128nc60x08	11	10	had	have	VERB
h128nc60x08	11	11	implications	implication	NOUN
h128nc60x08	11	12	for	for	ADP
h128nc60x08	11	13	which	which	PRON
h128nc60x08	11	14	analysis	analysis	NOUN
h128nc60x08	11	15	models	model	NOUN
h128nc60x08	11	16	were	be	AUX
h128nc60x08	11	17	effective	effective	ADJ
h128nc60x08	11	18	.	.	PUNCT
h128nc60x08	12	1	when	when	SCONJ
h128nc60x08	12	2	the	the	DET
h128nc60x08	12	3	goal	goal	NOUN
h128nc60x08	12	4	was	be	AUX
h128nc60x08	12	5	the	the	DET
h128nc60x08	12	6	estimate	estimate	NOUN
h128nc60x08	12	7	the	the	DET
h128nc60x08	12	8	smd	smd	NOUN
h128nc60x08	12	9	,	,	PUNCT
h128nc60x08	12	10	patterns	pattern	NOUN
h128nc60x08	12	11	of	of	ADP
h128nc60x08	12	12	results	result	NOUN
h128nc60x08	12	13	indicated	indicate	VERB
h128nc60x08	12	14	that	that	SCONJ
h128nc60x08	12	15	mi	mi	PROPN
h128nc60x08	12	16	was	be	AUX
h128nc60x08	12	17	more	more	ADV
h128nc60x08	12	18	effective	effective	ADJ
h128nc60x08	12	19	than	than	ADP
h128nc60x08	12	20	ld	ld	INTJ
h128nc60x08	12	21	in	in	ADP
h128nc60x08	12	22	some	some	DET
h128nc60x08	12	23	conditions	condition	NOUN
h128nc60x08	12	24	,	,	PUNCT
h128nc60x08	12	25	although	although	SCONJ
h128nc60x08	12	26	results	result	NOUN
h128nc60x08	12	27	were	be	AUX
h128nc60x08	12	28	more	more	ADV
h128nc60x08	12	29	mixed	mixed	ADJ
h128nc60x08	12	30	.	.	PUNCT