id	sid	tid	token	lemma	pos
awl-420	1	1	volume	volume	NOUN
awl-420	1	2	41	41	NUM
awl-420	1	3	,	,	PUNCT
awl-420	1	4	2022	2022	NUM
awl-420	1	5	issn	issn	VERB
awl-420	1	6	1093	1093	NUM
awl-420	1	7	-	-	SYM
awl-420	1	8	7099	7099	NUM
awl-420	1	9	editors	editor	NOUN
awl-420	1	10	:	:	PUNCT
awl-420	1	11	beverly	beverly	PROPN
awl-420	1	12	j.	j.	PROPN
awl-420	1	13	irby	irby	PROPN
awl-420	1	14	,	,	PUNCT
awl-420	1	15	nahed	nahed	ADJ
awl-420	1	16	abdelrahman	abdelrahman	NOUN
awl-420	1	17	,	,	PUNCT
awl-420	1	18	and	and	CCONJ
awl-420	1	19	brad	brad	AUX
awl-420	1	20	bizzell	bizzell	PROPN
awl-420	1	21	assistant	assistant	NOUN
awl-420	1	22	editor	editor	NOUN
awl-420	1	23	:	:	PUNCT
awl-420	1	24	jordan	jordan	PROPN
awl-420	1	25	donop	donop	PROPN
awl-420	1	26	104	104	NUM
awl-420	1	27	advancing	advance	VERB
awl-420	1	28	women	woman	NOUN
awl-420	1	29	in	in	ADP
awl-420	1	30	leadership	leadership	NOUN
awl-420	1	31	journal	journal	NOUN
awl-420	1	32	-	-	PUNCT
awl-420	1	33	volume	volume	NOUN
awl-420	1	34	41	41	NUM
awl-420	1	35	advancing	advance	VERB
awl-420	1	36	women	woman	NOUN
awl-420	1	37	in	in	ADP
awl-420	1	38	leadership	leadership	NOUN
awl-420	1	39	vol	vol	NOUN
awl-420	1	40	.	.	PROPN
awl-420	1	41	41	41	NUM
awl-420	1	42	,	,	PUNCT
awl-420	1	43	103	103	NUM
awl-420	1	44	-	-	SYM
awl-420	1	45	111	111	NUM
awl-420	1	46	,	,	PUNCT
awl-420	1	47	2022	2022	NUM
awl-420	1	48	available	available	ADJ
awl-420	1	49	online	online	ADV
awl-420	1	50	at	at	ADP
awl-420	1	51	http://www.awlj.org/	http://www.awlj.org/	NOUN
awl-420	1	52	issn	issn	PROPN
awl-420	1	53	1093	1093	NUM
awl-420	1	54	-	-	SYM
awl-420	1	55	7099	7099	NUM
awl-420	1	56	full	full	ADJ
awl-420	1	57	length	length	NOUN
awl-420	1	58	research	research	NOUN
awl-420	1	59	paper	paper	NOUN
awl-420	1	60	gender	gender	NOUN
awl-420	1	61	pay	pay	NOUN
awl-420	1	62	equity	equity	NOUN
awl-420	1	63	by	by	ADP
awl-420	1	64	state	state	NOUN
awl-420	1	65	and	and	CCONJ
awl-420	1	66	industry	industry	NOUN
awl-420	1	67	ronald	ronald	PROPN
awl-420	1	68	sowadski	sowadski	PROPN
awl-420	1	69	ronald	ronald	PROPN
awl-420	1	70	sowadski	sowadski	PROPN
awl-420	1	71	:	:	PUNCT
awl-420	1	72	business	business	NOUN
awl-420	1	73	consultant	consultant	NOUN
awl-420	1	74	,	,	PUNCT
awl-420	1	75	grand	grand	ADJ
awl-420	1	76	canyon	canyon	PROPN
awl-420	1	77	university	university	NOUN
awl-420	1	78	,	,	PUNCT
awl-420	1	79	ronniec312@gmail.com	ronniec312@gmail.com	X
awl-420	1	80	accepted	accept	VERB
awl-420	1	81	november	november	PROPN
awl-420	1	82	28	28	NUM
awl-420	1	83	,	,	PUNCT
awl-420	1	84	2022	2022	NUM
awl-420	1	85	the	the	DET
awl-420	1	86	purpose	purpose	NOUN
awl-420	1	87	of	of	ADP
awl-420	1	88	this	this	DET
awl-420	1	89	study	study	NOUN
awl-420	1	90	was	be	AUX
awl-420	1	91	to	to	PART
awl-420	1	92	examine	examine	VERB
awl-420	1	93	whether	whether	SCONJ
awl-420	1	94	there	there	PRON
awl-420	1	95	are	be	VERB
awl-420	1	96	differences	difference	NOUN
awl-420	1	97	in	in	ADP
awl-420	1	98	gender	gender	NOUN
awl-420	1	99	pay	pay	NOUN
awl-420	1	100	equity	equity	NOUN
awl-420	1	101	in	in	ADP
awl-420	1	102	the	the	DET
awl-420	1	103	public	public	ADJ
awl-420	1	104	sector	sector	NOUN
awl-420	1	105	,	,	PUNCT
awl-420	1	106	among	among	ADP
awl-420	1	107	states	state	NOUN
awl-420	1	108	,	,	PUNCT
awl-420	1	109	and	and	CCONJ
awl-420	1	110	among	among	ADP
awl-420	1	111	industries	industry	NOUN
awl-420	1	112	in	in	ADP
awl-420	1	113	the	the	DET
awl-420	1	114	united	united	PROPN
awl-420	1	115	states	states	PROPN
awl-420	1	116	.	.	PUNCT
awl-420	2	1	the	the	DET
awl-420	2	2	study	study	NOUN
awl-420	2	3	was	be	AUX
awl-420	2	4	conducted	conduct	VERB
awl-420	2	5	with	with	ADP
awl-420	2	6	archival	archival	NOUN
awl-420	2	7	data	datum	NOUN
awl-420	2	8	from	from	ADP
awl-420	2	9	the	the	DET
awl-420	2	10	american	american	ADJ
awl-420	2	11	community	community	NOUN
awl-420	2	12	survey	survey	NOUN
awl-420	2	13	.	.	PUNCT
awl-420	3	1	results	result	NOUN
awl-420	3	2	of	of	ADP
awl-420	3	3	two	two	NUM
awl-420	3	4	one	one	NUM
awl-420	3	5	-	-	PUNCT
awl-420	3	6	way	way	NOUN
awl-420	3	7	anovas	anovas	NOUN
awl-420	3	8	showed	show	VERB
awl-420	3	9	a	a	DET
awl-420	3	10	significant	significant	ADJ
awl-420	3	11	difference	difference	NOUN
awl-420	3	12	in	in	ADP
awl-420	3	13	the	the	DET
awl-420	3	14	gender	gender	NOUN
awl-420	3	15	pay	pay	NOUN
awl-420	3	16	equity	equity	NOUN
awl-420	3	17	among	among	ADP
awl-420	3	18	the	the	DET
awl-420	3	19	51	51	NUM
awl-420	3	20	states	state	NOUN
awl-420	3	21	(	(	PUNCT
awl-420	3	22	including	include	VERB
awl-420	3	23	d.c	d.c	PROPN
awl-420	3	24	.	.	PROPN
awl-420	3	25	)	)	PUNCT
awl-420	3	26	,	,	PUNCT
awl-420	3	27	f(50	f(50	NOUN
awl-420	3	28	,	,	PUNCT
awl-420	3	29	1740	1740	NUM
awl-420	3	30	)	)	PUNCT
awl-420	3	31	=	=	SYM
awl-420	3	32	1.69	1.69	NUM
awl-420	3	33	,	,	PUNCT
awl-420	3	34	p	p	X
awl-420	3	35	=	=	NOUN
awl-420	3	36	0.019	0.019	NUM
awl-420	3	37	,	,	PUNCT
awl-420	3	38	and	and	CCONJ
awl-420	3	39	among	among	ADP
awl-420	3	40	the	the	DET
awl-420	3	41	five	five	NUM
awl-420	3	42	major	major	ADJ
awl-420	3	43	industries	industry	NOUN
awl-420	3	44	,	,	PUNCT
awl-420	3	45	f(4	f(4	PROPN
awl-420	3	46	,	,	PUNCT
awl-420	3	47	1735	1735	NUM
awl-420	3	48	)	)	PUNCT
awl-420	3	49	=	=	SYM
awl-420	3	50	17.00	17.00	NUM
awl-420	3	51	,	,	PUNCT
awl-420	3	52	p	p	X
awl-420	3	53	<	<	X
awl-420	3	54	0.01	0.01	NUM
awl-420	3	55	.	.	PUNCT
awl-420	4	1	these	these	DET
awl-420	4	2	empirical	empirical	ADJ
awl-420	4	3	findings	finding	NOUN
awl-420	4	4	provide	provide	VERB
awl-420	4	5	a	a	DET
awl-420	4	6	basis	basis	NOUN
awl-420	4	7	for	for	ADP
awl-420	4	8	developing	develop	VERB
awl-420	4	9	policies	policy	NOUN
awl-420	4	10	to	to	PART
awl-420	4	11	address	address	VERB
awl-420	4	12	pay	pay	VERB
awl-420	4	13	inequity	inequity	NOUN
awl-420	4	14	.	.	PUNCT
awl-420	5	1	keywords	keyword	NOUN
awl-420	5	2	:	:	PUNCT
awl-420	5	3	pay	pay	VERB
awl-420	5	4	inequity	inequity	NOUN
awl-420	5	5	,	,	PUNCT
awl-420	5	6	pay	pay	NOUN
awl-420	5	7	equity	equity	NOUN
awl-420	5	8	,	,	PUNCT
awl-420	5	9	inequality	inequality	NOUN
awl-420	5	10	,	,	PUNCT
awl-420	5	11	wage	wage	NOUN
awl-420	5	12	equity	equity	NOUN
awl-420	5	13	,	,	PUNCT
awl-420	5	14	gender	gender	NOUN
awl-420	5	15	-	-	PUNCT
awl-420	5	16	related	relate	VERB
awl-420	5	17	pay	pay	NOUN
awl-420	5	18	equity	equity	NOUN
awl-420	5	19	,	,	PUNCT
awl-420	5	20	gender	gender	NOUN
awl-420	5	21	pay	pay	NOUN
awl-420	5	22	gap	gap	NOUN
awl-420	5	23	since	since	SCONJ
awl-420	5	24	1964	1964	NUM
awl-420	5	25	,	,	PUNCT
awl-420	5	26	pay	pay	NOUN
awl-420	5	27	equity	equity	NOUN
awl-420	5	28	has	have	AUX
awl-420	5	29	been	be	AUX
awl-420	5	30	a	a	DET
awl-420	5	31	social	social	ADJ
awl-420	5	32	issue	issue	NOUN
awl-420	5	33	that	that	SCONJ
awl-420	5	34	the	the	DET
awl-420	5	35	government	government	NOUN
awl-420	5	36	,	,	PUNCT
awl-420	5	37	the	the	DET
awl-420	5	38	entity	entity	NOUN
awl-420	5	39	responsible	responsible	ADJ
awl-420	5	40	for	for	ADP
awl-420	5	41	the	the	DET
awl-420	5	42	regulation	regulation	NOUN
awl-420	5	43	of	of	ADP
awl-420	5	44	pay	pay	NOUN
awl-420	5	45	,	,	PUNCT
awl-420	5	46	has	have	AUX
awl-420	5	47	not	not	PART
awl-420	5	48	been	be	AUX
awl-420	5	49	able	able	ADJ
awl-420	5	50	to	to	PART
awl-420	5	51	solve	solve	VERB
awl-420	5	52	.	.	PUNCT
awl-420	6	1	this	this	PRON
awl-420	6	2	is	be	AUX
awl-420	6	3	due	due	ADJ
awl-420	6	4	—	—	PUNCT
awl-420	6	5	in	in	ADP
awl-420	6	6	part	part	NOUN
awl-420	6	7	—	—	PUNCT
awl-420	6	8	to	to	ADP
awl-420	6	9	the	the	DET
awl-420	6	10	lack	lack	NOUN
awl-420	6	11	of	of	ADP
awl-420	6	12	a	a	DET
awl-420	6	13	complete	complete	ADJ
awl-420	6	14	dataset	dataset	NOUN
awl-420	6	15	(	(	PUNCT
awl-420	6	16	wade	wade	PROPN
awl-420	6	17	&	&	CCONJ
awl-420	6	18	fiorentino	fiorentino	PROPN
awl-420	6	19	,	,	PUNCT
awl-420	6	20	2017	2017	NUM
awl-420	6	21	)	)	PUNCT
awl-420	6	22	.	.	PUNCT
awl-420	7	1	this	this	DET
awl-420	7	2	study	study	NOUN
awl-420	7	3	and	and	CCONJ
awl-420	7	4	the	the	DET
awl-420	7	5	pay	pay	NOUN
awl-420	7	6	equity	equity	NOUN
awl-420	7	7	problem	problem	NOUN
awl-420	7	8	are	be	AUX
awl-420	7	9	based	base	VERB
awl-420	7	10	on	on	ADP
awl-420	7	11	equity	equity	NOUN
awl-420	7	12	theory	theory	NOUN
awl-420	7	13	,	,	PUNCT
awl-420	7	14	fair	fair	ADJ
awl-420	7	15	distribution	distribution	NOUN
awl-420	7	16	of	of	ADP
awl-420	7	17	contributions	contribution	NOUN
awl-420	7	18	,	,	PUNCT
awl-420	7	19	and	and	CCONJ
awl-420	7	20	benefits	benefit	NOUN
awl-420	7	21	for	for	ADP
awl-420	7	22	each	each	DET
awl-420	7	23	person	person	NOUN
awl-420	7	24	(	(	PUNCT
awl-420	7	25	adams	adams	PROPN
awl-420	7	26	,	,	PUNCT
awl-420	7	27	1965	1965	NUM
awl-420	7	28	)	)	PUNCT
awl-420	7	29	.	.	PUNCT
awl-420	8	1	previous	previous	ADJ
awl-420	8	2	scholars	scholar	NOUN
awl-420	8	3	have	have	AUX
awl-420	8	4	utilized	utilize	VERB
awl-420	8	5	equity	equity	NOUN
awl-420	8	6	theory	theory	NOUN
awl-420	8	7	to	to	ADP
awl-420	8	8	research	research	NOUN
awl-420	8	9	pay	pay	NOUN
awl-420	8	10	equity	equity	NOUN
awl-420	8	11	(	(	PUNCT
awl-420	8	12	dennis	dennis	PROPN
awl-420	8	13	,	,	PUNCT
awl-420	8	14	2016	2016	NUM
awl-420	8	15	;	;	PUNCT
awl-420	8	16	rosado	rosado	NOUN
awl-420	8	17	,	,	PUNCT
awl-420	8	18	2018	2018	NUM
awl-420	8	19	;	;	PUNCT
awl-420	8	20	smit	smit	PROPN
awl-420	8	21	&	&	CCONJ
awl-420	8	22	montag	montag	PROPN
awl-420	8	23	-	-	PUNCT
awl-420	8	24	smit	smit	PROPN
awl-420	8	25	,	,	PUNCT
awl-420	8	26	2019	2019	NUM
awl-420	8	27	)	)	PUNCT
awl-420	8	28	.	.	PUNCT
awl-420	9	1	various	various	ADJ
awl-420	9	2	laws	law	NOUN
awl-420	9	3	and	and	CCONJ
awl-420	9	4	acts	act	NOUN
awl-420	9	5	have	have	AUX
awl-420	9	6	been	be	AUX
awl-420	9	7	implemented	implement	VERB
awl-420	9	8	;	;	PUNCT
awl-420	9	9	however	however	ADV
awl-420	9	10	,	,	PUNCT
awl-420	9	11	little	little	ADJ
awl-420	9	12	progress	progress	NOUN
awl-420	9	13	has	have	AUX
awl-420	9	14	been	be	AUX
awl-420	9	15	made	make	VERB
awl-420	9	16	with	with	ADP
awl-420	9	17	this	this	DET
awl-420	9	18	social	social	ADJ
awl-420	9	19	issue	issue	NOUN
awl-420	9	20	.	.	PUNCT
awl-420	10	1	regardless	regardless	ADV
awl-420	10	2	of	of	ADP
awl-420	10	3	the	the	DET
awl-420	10	4	multiple	multiple	ADJ
awl-420	10	5	federal	federal	ADJ
awl-420	10	6	laws	law	NOUN
awl-420	10	7	implemented	implement	VERB
awl-420	10	8	,	,	PUNCT
awl-420	10	9	women	woman	NOUN
awl-420	10	10	still	still	ADV
awl-420	10	11	earn	earn	VERB
awl-420	10	12	less	less	ADJ
awl-420	10	13	than	than	ADP
awl-420	10	14	men	man	NOUN
awl-420	10	15	(	(	PUNCT
awl-420	10	16	white	white	ADJ
awl-420	10	17	,	,	PUNCT
awl-420	10	18	2019	2019	NUM
awl-420	10	19	)	)	PUNCT
awl-420	10	20	.	.	PUNCT
awl-420	11	1	over	over	ADP
awl-420	11	2	the	the	DET
awl-420	11	3	last	last	ADJ
awl-420	11	4	century	century	NOUN
awl-420	11	5	,	,	PUNCT
awl-420	11	6	the	the	DET
awl-420	11	7	gender	gender	NOUN
awl-420	11	8	pay	pay	NOUN
awl-420	11	9	equity	equity	NOUN
awl-420	11	10	issue	issue	NOUN
awl-420	11	11	has	have	AUX
awl-420	11	12	narrowed	narrow	VERB
awl-420	11	13	,	,	PUNCT
awl-420	11	14	but	but	CCONJ
awl-420	11	15	it	it	PRON
awl-420	11	16	remains	remain	VERB
awl-420	11	17	sizable	sizable	ADJ
awl-420	11	18	(	(	PUNCT
awl-420	11	19	phillips	phillip	NOUN
awl-420	11	20	,	,	PUNCT
awl-420	11	21	2018	2018	NUM
awl-420	11	22	)	)	PUNCT
awl-420	11	23	.	.	PUNCT
awl-420	12	1	the	the	DET
awl-420	12	2	federal	federal	ADJ
awl-420	12	3	government	government	NOUN
awl-420	12	4	has	have	AUX
awl-420	12	5	stated	state	VERB
awl-420	12	6	that	that	SCONJ
awl-420	12	7	the	the	DET
awl-420	12	8	pay	pay	NOUN
awl-420	12	9	equality	equality	NOUN
awl-420	12	10	gap	gap	NOUN
awl-420	12	11	is	be	AUX
awl-420	12	12	20	20	NUM
awl-420	12	13	%	%	NOUN
awl-420	12	14	and	and	CCONJ
awl-420	12	15	will	will	AUX
awl-420	12	16	take	take	VERB
awl-420	12	17	another	another	DET
awl-420	12	18	130	130	NUM
awl-420	12	19	years	year	NOUN
awl-420	12	20	to	to	PART
awl-420	12	21	solve	solve	VERB
awl-420	12	22	(	(	PUNCT
awl-420	12	23	geoghegan	geoghegan	NOUN
awl-420	12	24	,	,	PUNCT
awl-420	12	25	2018	2018	NUM
awl-420	12	26	;	;	PUNCT
awl-420	12	27	phillips	phillip	NOUN
awl-420	12	28	,	,	PUNCT
awl-420	12	29	2018	2018	NUM
awl-420	12	30	;	;	PUNCT
awl-420	12	31	rosado	rosado	NOUN
awl-420	12	32	,	,	PUNCT
awl-420	12	33	2018	2018	NUM
awl-420	12	34	)	)	PUNCT
awl-420	12	35	.	.	PUNCT
awl-420	13	1	this	this	DET
awl-420	13	2	study	study	NOUN
awl-420	13	3	may	may	AUX
awl-420	13	4	expose	expose	VERB
awl-420	13	5	what	what	PRON
awl-420	13	6	states	state	NOUN
awl-420	13	7	and	and	CCONJ
awl-420	13	8	industries	industry	NOUN
awl-420	13	9	contribute	contribute	VERB
awl-420	13	10	to	to	ADP
awl-420	13	11	the	the	DET
awl-420	13	12	social	social	ADJ
awl-420	13	13	problem	problem	NOUN
awl-420	13	14	of	of	ADP
awl-420	13	15	inequity	inequity	NOUN
awl-420	13	16	and	and	CCONJ
awl-420	13	17	provide	provide	VERB
awl-420	13	18	evidence	evidence	NOUN
awl-420	13	19	that	that	PRON
awl-420	13	20	can	can	AUX
awl-420	13	21	provoke	provoke	VERB
awl-420	13	22	change	change	NOUN
awl-420	13	23	.	.	PUNCT
awl-420	14	1	the	the	DET
awl-420	14	2	adverse	adverse	ADJ
awl-420	14	3	effects	effect	NOUN
awl-420	14	4	of	of	ADP
awl-420	14	5	the	the	DET
awl-420	14	6	gender	gender	NOUN
awl-420	14	7	pay	pay	NOUN
awl-420	14	8	equity	equity	NOUN
awl-420	14	9	issue	issue	NOUN
awl-420	14	10	are	be	AUX
awl-420	14	11	felt	feel	VERB
awl-420	14	12	throughout	throughout	ADP
awl-420	14	13	the	the	DET
awl-420	14	14	economy	economy	NOUN
awl-420	14	15	and	and	CCONJ
awl-420	14	16	society	society	NOUN
awl-420	14	17	.	.	PUNCT
awl-420	15	1	pay	pay	VERB
awl-420	15	2	equity	equity	NOUN
awl-420	15	3	is	be	AUX
awl-420	15	4	a	a	DET
awl-420	15	5	topic	topic	NOUN
awl-420	15	6	that	that	PRON
awl-420	15	7	affects	affect	VERB
awl-420	15	8	74.6	74.6	NUM
awl-420	15	9	million	million	NUM
awl-420	15	10	women	woman	NOUN
awl-420	15	11	workers	worker	NOUN
awl-420	15	12	in	in	ADP
awl-420	15	13	the	the	DET
awl-420	15	14	civilian	civilian	ADJ
awl-420	15	15	labor	labor	NOUN
awl-420	15	16	force	force	NOUN
awl-420	15	17	(	(	PUNCT
awl-420	15	18	dewolf	dewolf	PROPN
awl-420	15	19	,	,	PUNCT
awl-420	15	20	2017	2017	NUM
awl-420	15	21	)	)	PUNCT
awl-420	15	22	.	.	PUNCT
awl-420	16	1	equal	equal	ADJ
awl-420	16	2	pay	pay	NOUN
awl-420	16	3	between	between	ADP
awl-420	16	4	men	man	NOUN
awl-420	16	5	and	and	CCONJ
awl-420	16	6	women	woman	NOUN
awl-420	16	7	would	would	AUX
awl-420	16	8	reduce	reduce	VERB
awl-420	16	9	poverty	poverty	NOUN
awl-420	16	10	for	for	ADP
awl-420	16	11	working	work	VERB
awl-420	16	12	women	woman	NOUN
awl-420	16	13	from	from	ADP
awl-420	16	14	8.2	8.2	NUM
awl-420	16	15	to	to	PART
awl-420	16	16	4	4	NUM
awl-420	16	17	%	%	NOUN
awl-420	16	18	.	.	PUNCT
awl-420	17	1	each	each	PRON
awl-420	17	2	of	of	ADP
awl-420	17	3	the	the	DET
awl-420	17	4	50	50	NUM
awl-420	17	5	individual	individual	ADJ
awl-420	17	6	states	state	NOUN
awl-420	17	7	would	would	AUX
awl-420	17	8	benefit	benefit	VERB
awl-420	17	9	from	from	ADP
awl-420	17	10	increased	increase	VERB
awl-420	17	11	funds	fund	NOUN
awl-420	17	12	into	into	ADP
awl-420	17	13	their	their	PRON
awl-420	17	14	economies	economy	NOUN
awl-420	17	15	(	(	PUNCT
awl-420	17	16	status	status	NOUN
awl-420	17	17	of	of	ADP
awl-420	17	18	women	woman	NOUN
awl-420	17	19	,	,	PUNCT
awl-420	17	20	2020	2020	NUM
awl-420	17	21	)	)	PUNCT
awl-420	17	22	.	.	PUNCT
awl-420	18	1	the	the	DET
awl-420	18	2	most	most	ADV
awl-420	18	3	significant	significant	ADJ
awl-420	18	4	adverse	adverse	ADJ
awl-420	18	5	effect	effect	NOUN
awl-420	18	6	of	of	ADP
awl-420	18	7	gender	gender	NOUN
awl-420	18	8	wage	wage	NOUN
awl-420	18	9	inequality	inequality	NOUN
awl-420	18	10	is	be	AUX
awl-420	18	11	that	that	PRON
awl-420	18	12	pay	pay	VERB
awl-420	18	13	equity	equity	NOUN
awl-420	18	14	issues	issue	NOUN
awl-420	18	15	contribute	contribute	VERB
awl-420	18	16	to	to	ADP
awl-420	18	17	increased	increase	VERB
awl-420	18	18	anxiety	anxiety	NOUN
awl-420	18	19	and	and	CCONJ
awl-420	18	20	depression	depression	NOUN
awl-420	18	21	rates	rate	NOUN
awl-420	18	22	among	among	ADP
awl-420	18	23	women	woman	NOUN
awl-420	18	24	(	(	PUNCT
awl-420	18	25	platt	platt	PROPN
awl-420	18	26	et	et	PROPN
awl-420	18	27	al	al	PROPN
awl-420	18	28	.	.	PROPN
awl-420	18	29	,	,	PUNCT
awl-420	18	30	2016	2016	NUM
awl-420	18	31	)	)	PUNCT
awl-420	18	32	.	.	PUNCT
awl-420	19	1	in	in	ADP
awl-420	19	2	a	a	DET
awl-420	19	3	partnership	partnership	NOUN
awl-420	19	4	with	with	ADP
awl-420	19	5	the	the	DET
awl-420	19	6	center	center	NOUN
awl-420	19	7	for	for	ADP
awl-420	19	8	workplace	workplace	NOUN
awl-420	19	9	mental	mental	ADJ
awl-420	19	10	health	health	NOUN
awl-420	19	11	,	,	PUNCT
awl-420	19	12	the	the	DET
awl-420	19	13	american	american	PROPN
awl-420	19	14	psychiatric	psychiatric	PROPN
awl-420	19	15	association	association	PROPN
awl-420	19	16	expressed	express	VERB
awl-420	19	17	significant	significant	ADJ
awl-420	19	18	concern	concern	NOUN
awl-420	19	19	about	about	ADP
awl-420	19	20	gender	gender	NOUN
awl-420	19	21	pay	pay	NOUN
awl-420	19	22	equity	equity	NOUN
awl-420	19	23	.	.	PUNCT
awl-420	20	1	the	the	DET
awl-420	20	2	president	president	NOUN
awl-420	20	3	of	of	ADP
awl-420	20	4	the	the	DET
awl-420	20	5	american	american	PROPN
awl-420	20	6	psychiatric	psychiatric	PROPN
awl-420	20	7	association	association	PROPN
awl-420	20	8	stated	state	VERB
awl-420	20	9	that	that	SCONJ
awl-420	20	10	gender	gender	NOUN
awl-420	20	11	pay	pay	NOUN
awl-420	20	12	equity	equity	NOUN
awl-420	20	13	issues	issue	NOUN
awl-420	20	14	are	be	AUX
awl-420	20	15	more	more	ADV
awl-420	20	16	impactful	impactful	ADJ
awl-420	20	17	than	than	ADP
awl-420	20	18	economic	economic	ADJ
awl-420	20	19	issues	issue	NOUN
awl-420	20	20	and	and	CCONJ
awl-420	20	21	contribute	contribute	VERB
awl-420	20	22	to	to	ADP
awl-420	20	23	mental	mental	ADJ
awl-420	20	24	disorders	disorder	NOUN
awl-420	20	25	(	(	PUNCT
awl-420	20	26	american	american	PROPN
awl-420	20	27	psychiatric	psychiatric	PROPN
awl-420	20	28	association	association	PROPN
awl-420	20	29	,	,	PUNCT
awl-420	20	30	2020	2020	NUM
awl-420	20	31	)	)	PUNCT
awl-420	20	32	.	.	PUNCT
awl-420	21	1	furthermore	furthermore	ADV
awl-420	21	2	,	,	PUNCT
awl-420	21	3	more	more	ADV
awl-420	21	4	recent	recent	ADJ
awl-420	21	5	researchers	researcher	NOUN
awl-420	21	6	have	have	AUX
awl-420	21	7	shown	show	VERB
awl-420	21	8	that	that	SCONJ
awl-420	21	9	income	income	NOUN
awl-420	21	10	inequality	inequality	NOUN
awl-420	21	11	increases	increase	VERB
awl-420	21	12	the	the	DET
awl-420	21	13	risk	risk	NOUN
awl-420	21	14	of	of	ADP
awl-420	21	15	obesity	obesity	NOUN
awl-420	21	16	and	and	CCONJ
awl-420	21	17	heart	heart	NOUN
awl-420	21	18	attack	attack	NOUN
awl-420	21	19	(	(	PUNCT
awl-420	21	20	pabayo	pabayo	VERB
awl-420	21	21	et	et	PROPN
awl-420	21	22	al	al	PROPN
awl-420	21	23	.	.	PROPN
awl-420	21	24	,	,	PUNCT
awl-420	21	25	2018	2018	NUM
awl-420	21	26	)	)	PUNCT
awl-420	21	27	.	.	PUNCT
awl-420	22	1	it	it	PRON
awl-420	22	2	is	be	AUX
awl-420	22	3	fair	fair	ADJ
awl-420	22	4	to	to	PART
awl-420	22	5	say	say	VERB
awl-420	22	6	that	that	SCONJ
awl-420	22	7	the	the	DET
awl-420	22	8	adverse	adverse	ADJ
awl-420	22	9	effects	effect	NOUN
awl-420	22	10	of	of	ADP
awl-420	22	11	gender	gender	NOUN
awl-420	22	12	pay	pay	NOUN
awl-420	22	13	equity	equity	NOUN
awl-420	22	14	are	be	AUX
awl-420	22	15	significant	significant	ADJ
awl-420	22	16	to	to	ADP
awl-420	22	17	american	american	ADJ
awl-420	22	18	society	society	NOUN
awl-420	22	19	.	.	PUNCT
awl-420	23	1	the	the	DET
awl-420	23	2	u.s	u.s	PROPN
awl-420	23	3	.	.	PROPN
awl-420	23	4	census	census	PROPN
awl-420	23	5	bureau	bureau	PROPN
awl-420	23	6	and	and	CCONJ
awl-420	23	7	american	american	PROPN
awl-420	23	8	community	community	NOUN
awl-420	23	9	survey	survey	NOUN
awl-420	23	10	data	datum	NOUN
awl-420	23	11	is	be	AUX
awl-420	23	12	the	the	DET
awl-420	23	13	most	most	ADV
awl-420	23	14	appropriate	appropriate	ADJ
awl-420	23	15	dataset	dataset	NOUN
awl-420	23	16	for	for	ADP
awl-420	23	17	assessing	assess	VERB
awl-420	23	18	state	state	NOUN
awl-420	23	19	and	and	CCONJ
awl-420	23	20	industrylevel	industrylevel	ADJ
awl-420	23	21	data	datum	NOUN
awl-420	23	22	.	.	PUNCT
awl-420	24	1	statistics	statistic	NOUN
awl-420	24	2	are	be	AUX
awl-420	24	3	given	give	VERB
awl-420	24	4	from	from	ADP
awl-420	24	5	a	a	DET
awl-420	24	6	national	national	ADJ
awl-420	24	7	perspective	perspective	NOUN
awl-420	24	8	to	to	PART
awl-420	24	9	cover	cover	VERB
awl-420	24	10	individual	individual	ADJ
awl-420	24	11	states	state	NOUN
awl-420	24	12	and	and	CCONJ
awl-420	24	13	industries	industry	NOUN
awl-420	24	14	.	.	PUNCT
awl-420	25	1	this	this	DET
awl-420	25	2	study	study	NOUN
awl-420	25	3	may	may	AUX
awl-420	25	4	provide	provide	VERB
awl-420	25	5	gender	gender	NOUN
awl-420	25	6	pay	pay	NOUN
awl-420	25	7	equity	equity	NOUN
awl-420	25	8	data	datum	NOUN
awl-420	25	9	by	by	ADP
awl-420	25	10	state	state	NOUN
awl-420	25	11	and	and	CCONJ
awl-420	25	12	industry	industry	NOUN
awl-420	25	13	,	,	PUNCT
awl-420	25	14	with	with	ADP
awl-420	25	15	added	add	VERB
awl-420	25	16	analyses	analysis	NOUN
awl-420	25	17	of	of	ADP
awl-420	25	18	potential	potential	ADJ
awl-420	25	19	social	social	ADJ
awl-420	25	20	and	and	CCONJ
awl-420	25	21	economic	economic	ADJ
awl-420	25	22	factors	factor	NOUN
awl-420	25	23	contributing	contribute	VERB
awl-420	25	24	to	to	PART
awl-420	25	25	pay	pay	VERB
awl-420	25	26	equity	equity	NOUN
awl-420	25	27	issues	issue	NOUN
awl-420	25	28	.	.	PUNCT
awl-420	26	1	literature	literature	NOUN
awl-420	26	2	review	review	VERB
awl-420	26	3	the	the	DET
awl-420	26	4	body	body	NOUN
awl-420	26	5	of	of	ADP
awl-420	26	6	research	research	NOUN
awl-420	26	7	on	on	ADP
awl-420	26	8	pay	pay	NOUN
awl-420	26	9	equity	equity	NOUN
awl-420	26	10	has	have	VERB
awl-420	26	11	common	common	ADJ
awl-420	26	12	themes	theme	NOUN
awl-420	26	13	,	,	PUNCT
awl-420	26	14	including	include	VERB
awl-420	26	15	laws	law	NOUN
awl-420	26	16	,	,	PUNCT
awl-420	26	17	acts	act	NOUN
awl-420	26	18	of	of	ADP
awl-420	26	19	legislation	legislation	NOUN
awl-420	26	20	,	,	PUNCT
awl-420	26	21	government	government	NOUN
awl-420	26	22	changes	change	NOUN
awl-420	26	23	,	,	PUNCT
awl-420	26	24	societal	societal	ADJ
awl-420	26	25	awareness	awareness	NOUN
awl-420	26	26	,	,	PUNCT
awl-420	26	27	and	and	CCONJ
awl-420	26	28	human	human	ADJ
awl-420	26	29	resource	resource	NOUN
awl-420	26	30	departments	department	NOUN
awl-420	26	31	'	'	PART
awl-420	26	32	responsibilities	responsibility	NOUN
awl-420	26	33	(	(	PUNCT
awl-420	26	34	burn	burn	VERB
awl-420	26	35	,	,	PUNCT
awl-420	26	36	2018	2018	NUM
awl-420	26	37	;	;	PUNCT
awl-420	26	38	dennis	dennis	PROPN
awl-420	26	39	,	,	PUNCT
awl-420	26	40	2016	2016	NUM
awl-420	26	41	;	;	PUNCT
awl-420	26	42	smit	smit	PROPN
awl-420	26	43	&	&	CCONJ
awl-420	26	44	montag	montag	PROPN
awl-420	26	45	-	-	PUNCT
awl-420	26	46	smit	smit	PROPN
awl-420	26	47	,	,	PUNCT
awl-420	26	48	2019	2019	NUM
awl-420	26	49	;	;	PUNCT
awl-420	26	50	swain	swain	PROPN
awl-420	26	51	,	,	PUNCT
awl-420	26	52	2019	2019	NUM
awl-420	26	53	)	)	PUNCT
awl-420	26	54	.	.	PUNCT
awl-420	27	1	future	future	ADJ
awl-420	27	2	research	research	NOUN
awl-420	27	3	requires	require	VERB
awl-420	27	4	an	an	DET
awl-420	27	5	assessment	assessment	NOUN
awl-420	27	6	of	of	ADP
awl-420	27	7	why	why	SCONJ
awl-420	27	8	the	the	DET
awl-420	27	9	gender	gender	NOUN
awl-420	27	10	pay	pay	NOUN
awl-420	27	11	equity	equity	NOUN
awl-420	27	12	issue	issue	NOUN
awl-420	27	13	has	have	AUX
awl-420	27	14	not	not	PART
awl-420	27	15	been	be	AUX
awl-420	27	16	researched	research	VERB
awl-420	27	17	more	more	ADV
awl-420	27	18	thoroughly	thoroughly	ADV
awl-420	27	19	.	.	PUNCT
awl-420	28	1	this	this	PRON
awl-420	28	2	is	be	AUX
awl-420	28	3	so	so	ADV
awl-420	28	4	despite	despite	SCONJ
awl-420	28	5	the	the	DET
awl-420	28	6	pay	pay	NOUN
awl-420	28	7	equity	equity	NOUN
awl-420	28	8	pay	pay	NOUN
awl-420	28	9	act	act	PROPN
awl-420	28	10	being	be	AUX
awl-420	28	11	passed	pass	VERB
awl-420	28	12	in	in	ADP
awl-420	28	13	1963	1963	NUM
awl-420	28	14	.	.	PUNCT
awl-420	29	1	at	at	ADP
awl-420	29	2	the	the	DET
awl-420	29	3	current	current	ADJ
awl-420	29	4	rate	rate	NOUN
awl-420	29	5	,	,	PUNCT
awl-420	29	6	the	the	DET
awl-420	29	7	gender	gender	NOUN
awl-420	29	8	pay	pay	NOUN
awl-420	29	9	equality	equality	NOUN
awl-420	29	10	issue	issue	NOUN
awl-420	29	11	will	will	AUX
awl-420	29	12	not	not	PART
awl-420	29	13	be	be	AUX
awl-420	29	14	closed	close	VERB
awl-420	29	15	until	until	ADP
awl-420	29	16	the	the	DET
awl-420	29	17	year	year	NOUN
awl-420	29	18	2152	2152	NUM
awl-420	29	19	(	(	PUNCT
awl-420	29	20	lobel	lobel	PROPN
awl-420	29	21	,	,	PUNCT
awl-420	29	22	2020	2020	NUM
awl-420	29	23	;	;	PUNCT
awl-420	29	24	phillips	phillip	NOUN
awl-420	29	25	,	,	PUNCT
awl-420	29	26	2018	2018	NUM
awl-420	29	27	;	;	PUNCT
awl-420	29	28	rosado	rosado	NOUN
awl-420	29	29	,	,	PUNCT
awl-420	29	30	2018	2018	NUM
awl-420	29	31	)	)	PUNCT
awl-420	29	32	.	.	PUNCT
awl-420	30	1	this	this	DET
awl-420	30	2	study	study	NOUN
awl-420	30	3	's	's	PART
awl-420	30	4	findings	finding	NOUN
awl-420	30	5	may	may	AUX
awl-420	30	6	result	result	VERB
awl-420	30	7	in	in	ADP
awl-420	30	8	changed	change	VERB
awl-420	30	9	legislation	legislation	NOUN
awl-420	30	10	at	at	ADP
awl-420	30	11	all	all	DET
awl-420	30	12	levels	level	NOUN
awl-420	30	13	of	of	ADP
awl-420	30	14	government	government	NOUN
awl-420	30	15	and	and	CCONJ
awl-420	30	16	society	society	NOUN
awl-420	30	17	,	,	PUNCT
awl-420	30	18	thereby	thereby	ADV
awl-420	30	19	improving	improve	VERB
awl-420	30	20	the	the	DET
awl-420	30	21	risk	risk	NOUN
awl-420	30	22	of	of	ADP
awl-420	30	23	obesity	obesity	NOUN
awl-420	30	24	,	,	PUNCT
awl-420	30	25	heart	heart	NOUN
awl-420	30	26	attacks	attack	NOUN
awl-420	30	27	,	,	PUNCT
awl-420	30	28	depression	depression	NOUN
awl-420	30	29	,	,	PUNCT
awl-420	30	30	and	and	CCONJ
awl-420	30	31	social	social	ADJ
awl-420	30	32	/	/	SYM
awl-420	30	33	financial	financial	ADJ
awl-420	30	34	inequity	inequity	NOUN
awl-420	30	35	of	of	ADP
awl-420	30	36	74.6	74.6	NUM
awl-420	30	37	million	million	NUM
awl-420	30	38	women	woman	NOUN
awl-420	30	39	.	.	PUNCT
awl-420	31	1	additional	additional	ADJ
awl-420	31	2	scientific	scientific	ADJ
awl-420	31	3	knowledge	knowledge	NOUN
awl-420	31	4	of	of	ADP
awl-420	31	5	pay	pay	NOUN
awl-420	31	6	equity	equity	NOUN
awl-420	31	7	is	be	AUX
awl-420	31	8	required	require	VERB
awl-420	31	9	.	.	PUNCT
awl-420	32	1	this	this	DET
awl-420	32	2	study	study	NOUN
awl-420	32	3	's	's	PART
awl-420	32	4	benefits	benefit	NOUN
awl-420	32	5	may	may	AUX
awl-420	32	6	provide	provide	VERB
awl-420	32	7	societal	societal	ADJ
awl-420	32	8	results	result	NOUN
awl-420	32	9	that	that	PRON
awl-420	32	10	can	can	AUX
awl-420	32	11	change	change	VERB
awl-420	32	12	the	the	DET
awl-420	32	13	u.s	u.s	PROPN
awl-420	32	14	.	.	PROPN
awl-420	32	15	economy	economy	NOUN
awl-420	32	16	while	while	SCONJ
awl-420	32	17	enhancing	enhance	VERB
awl-420	32	18	the	the	DET
awl-420	32	19	discipline	discipline	NOUN
awl-420	32	20	of	of	ADP
awl-420	32	21	industrialorganizational	industrialorganizational	ADJ
awl-420	32	22	psychology	psychology	NOUN
awl-420	32	23	.	.	PUNCT
awl-420	33	1	an	an	DET
awl-420	33	2	additional	additional	ADJ
awl-420	33	3	512.6	512.6	NUM
awl-420	33	4	billion	billion	NUM
awl-420	33	5	dollars	dollar	NOUN
awl-420	33	6	would	would	AUX
awl-420	33	7	enter	enter	VERB
awl-420	33	8	the	the	DET
awl-420	33	9	united	united	PROPN
awl-420	33	10	states	states	PROPN
awl-420	33	11	economy	economy	NOUN
awl-420	33	12	if	if	SCONJ
awl-420	33	13	women	woman	NOUN
awl-420	33	14	were	be	AUX
awl-420	33	15	paid	pay	VERB
awl-420	33	16	equally	equally	ADV
awl-420	33	17	to	to	ADP
awl-420	33	18	men	man	NOUN
awl-420	33	19	(	(	PUNCT
awl-420	33	20	schulze	schulze	NOUN
awl-420	33	21	,	,	PUNCT
awl-420	33	22	2018	2018	NUM
awl-420	33	23	)	)	PUNCT
awl-420	33	24	.	.	PUNCT
awl-420	34	1	the	the	DET
awl-420	34	2	united	united	PROPN
awl-420	34	3	states	states	PROPN
awl-420	34	4	gross	gross	ADJ
awl-420	34	5	national	national	ADJ
awl-420	34	6	mailto:ronniec312@gmail.com	mailto:ronniec312@gmail.com	PROPN
awl-420	34	7	105	105	NUM
awl-420	34	8	advancing	advance	VERB
awl-420	34	9	women	woman	NOUN
awl-420	34	10	in	in	ADP
awl-420	34	11	leadership	leadership	NOUN
awl-420	34	12	journal	journal	NOUN
awl-420	34	13	-	-	PUNCT
awl-420	34	14	volume	volume	NOUN
awl-420	34	15	41	41	NUM
awl-420	34	16	profit	profit	NOUN
awl-420	34	17	is	be	AUX
awl-420	34	18	19.61	19.61	NUM
awl-420	34	19	trillion	trillion	NUM
awl-420	34	20	dollars	dollar	NOUN
awl-420	34	21	and	and	CCONJ
awl-420	34	22	provides	provide	VERB
awl-420	34	23	almost	almost	ADV
awl-420	34	24	a	a	DET
awl-420	34	25	3	3	NUM
awl-420	34	26	%	%	NOUN
awl-420	34	27	increase	increase	NOUN
awl-420	34	28	in	in	ADP
awl-420	34	29	the	the	DET
awl-420	34	30	united	united	PROPN
awl-420	34	31	states	states	PROPN
awl-420	34	32	economy	economy	NOUN
awl-420	34	33	(	(	PUNCT
awl-420	34	34	sowadski	sowadski	NOUN
awl-420	34	35	,	,	PUNCT
awl-420	34	36	2021	2021	NUM
awl-420	34	37	)	)	PUNCT
awl-420	34	38	.	.	PUNCT
awl-420	35	1	a	a	DET
awl-420	35	2	512.6	512.6	NUM
awl-420	35	3	billion	billion	NUM
awl-420	35	4	dollar	dollar	NOUN
awl-420	35	5	per	per	ADP
awl-420	35	6	year	year	NOUN
awl-420	35	7	influx	influx	VERB
awl-420	35	8	into	into	ADP
awl-420	35	9	the	the	DET
awl-420	35	10	economy	economy	NOUN
awl-420	35	11	would	would	AUX
awl-420	35	12	positively	positively	ADV
awl-420	35	13	change	change	VERB
awl-420	35	14	american	american	ADJ
awl-420	35	15	society	society	NOUN
awl-420	35	16	as	as	ADP
awl-420	35	17	a	a	DET
awl-420	35	18	whole	whole	NOUN
awl-420	35	19	.	.	PUNCT
awl-420	36	1	previous	previous	ADJ
awl-420	36	2	researchers	researcher	NOUN
awl-420	36	3	studying	study	VERB
awl-420	36	4	this	this	DET
awl-420	36	5	topic	topic	NOUN
awl-420	36	6	have	have	AUX
awl-420	36	7	used	use	VERB
awl-420	36	8	limited	limited	ADJ
awl-420	36	9	and	and	CCONJ
awl-420	36	10	small	small	ADJ
awl-420	36	11	sample	sample	NOUN
awl-420	36	12	sizes	size	NOUN
awl-420	36	13	,	,	PUNCT
awl-420	36	14	which	which	PRON
awl-420	36	15	required	require	VERB
awl-420	36	16	additional	additional	ADJ
awl-420	36	17	research	research	NOUN
awl-420	36	18	.	.	PUNCT
awl-420	37	1	obloj	obloj	NOUN
awl-420	37	2	and	and	CCONJ
awl-420	37	3	zenger	zenger	X
awl-420	37	4	(	(	PUNCT
awl-420	37	5	2020	2020	NUM
awl-420	37	6	)	)	PUNCT
awl-420	37	7	researched	research	VERB
awl-420	37	8	pay	pay	NOUN
awl-420	37	9	equity	equity	NOUN
awl-420	37	10	with	with	ADP
awl-420	37	11	a	a	DET
awl-420	37	12	sample	sample	NOUN
awl-420	37	13	size	size	NOUN
awl-420	37	14	of	of	ADP
awl-420	37	15	only	only	ADV
awl-420	37	16	eight	eight	NUM
awl-420	37	17	of	of	ADP
awl-420	37	18	the	the	DET
awl-420	37	19	50	50	NUM
awl-420	37	20	states	state	NOUN
awl-420	37	21	.	.	PUNCT
awl-420	38	1	additionally	additionally	ADV
awl-420	38	2	,	,	PUNCT
awl-420	38	3	these	these	DET
awl-420	38	4	authors	author	NOUN
awl-420	38	5	focused	focus	VERB
awl-420	38	6	on	on	ADP
awl-420	38	7	139	139	NUM
awl-420	38	8	institutions	institution	NOUN
awl-420	38	9	,	,	PUNCT
awl-420	38	10	representing	represent	VERB
awl-420	38	11	a	a	DET
awl-420	38	12	limited	limited	ADJ
awl-420	38	13	sample	sample	NOUN
awl-420	38	14	size	size	NOUN
awl-420	38	15	within	within	ADP
awl-420	38	16	the	the	DET
awl-420	38	17	eight	eight	NUM
awl-420	38	18	states	state	NOUN
awl-420	38	19	.	.	PUNCT
awl-420	39	1	cortés	cortés	NOUN
awl-420	39	2	and	and	CCONJ
awl-420	39	3	pan	pan	NOUN
awl-420	39	4	(	(	PUNCT
awl-420	39	5	2019	2019	NUM
awl-420	39	6	)	)	PUNCT
awl-420	39	7	researched	research	VERB
awl-420	39	8	pay	pay	NOUN
awl-420	39	9	equity	equity	NOUN
awl-420	39	10	,	,	PUNCT
awl-420	39	11	finding	find	VERB
awl-420	39	12	the	the	DET
awl-420	39	13	study	study	NOUN
awl-420	39	14	's	's	PART
awl-420	39	15	most	most	ADV
awl-420	39	16	significant	significant	ADJ
awl-420	39	17	limitation	limitation	NOUN
awl-420	39	18	to	to	PART
awl-420	39	19	be	be	AUX
awl-420	39	20	the	the	DET
awl-420	39	21	sample	sample	NOUN
awl-420	39	22	size	size	NOUN
awl-420	39	23	and	and	CCONJ
awl-420	39	24	the	the	DET
awl-420	39	25	need	need	NOUN
awl-420	39	26	to	to	PART
awl-420	39	27	assess	assess	VERB
awl-420	39	28	industry	industry	NOUN
awl-420	39	29	data	datum	NOUN
awl-420	39	30	.	.	PUNCT
awl-420	40	1	the	the	DET
awl-420	40	2	sample	sample	NOUN
awl-420	40	3	size	size	NOUN
awl-420	40	4	only	only	ADV
awl-420	40	5	included	include	VERB
awl-420	40	6	25	25	NUM
awl-420	40	7	united	united	PROPN
awl-420	40	8	states	states	PROPN
awl-420	40	9	cities	city	NOUN
awl-420	40	10	,	,	PUNCT
awl-420	40	11	not	not	PART
awl-420	40	12	representing	represent	VERB
awl-420	40	13	all	all	DET
awl-420	40	14	50	50	NUM
awl-420	40	15	states	state	NOUN
awl-420	40	16	or	or	CCONJ
awl-420	40	17	entire	entire	ADJ
awl-420	40	18	states	state	NOUN
awl-420	40	19	,	,	PUNCT
awl-420	40	20	and	and	CCONJ
awl-420	40	21	did	do	AUX
awl-420	40	22	not	not	PART
awl-420	40	23	consider	consider	VERB
awl-420	40	24	industry	industry	NOUN
awl-420	40	25	data	datum	NOUN
awl-420	40	26	.	.	PUNCT
awl-420	41	1	goldin	goldin	NOUN
awl-420	41	2	(	(	PUNCT
awl-420	41	3	2017	2017	NUM
awl-420	41	4	)	)	PUNCT
awl-420	41	5	identified	identify	VERB
awl-420	41	6	a	a	DET
awl-420	41	7	limitation	limitation	NOUN
awl-420	41	8	of	of	ADP
awl-420	41	9	his	his	PRON
awl-420	41	10	pay	pay	NOUN
awl-420	41	11	equity	equity	NOUN
awl-420	41	12	studies	study	NOUN
awl-420	41	13	,	,	PUNCT
awl-420	41	14	which	which	PRON
awl-420	41	15	included	include	VERB
awl-420	41	16	23	23	NUM
awl-420	41	17	out	out	ADP
awl-420	41	18	of	of	ADP
awl-420	41	19	the	the	DET
awl-420	41	20	50	50	NUM
awl-420	41	21	states	state	NOUN
awl-420	41	22	of	of	ADP
awl-420	41	23	the	the	DET
awl-420	41	24	united	united	PROPN
awl-420	41	25	states	states	PROPN
awl-420	41	26	and	and	CCONJ
awl-420	41	27	only	only	ADV
awl-420	41	28	included	include	VERB
awl-420	41	29	metropolitan	metropolitan	ADJ
awl-420	41	30	areas	area	NOUN
awl-420	41	31	,	,	PUNCT
awl-420	41	32	not	not	PART
awl-420	41	33	the	the	DET
awl-420	41	34	entire	entire	ADJ
awl-420	41	35	state	state	NOUN
awl-420	41	36	.	.	PUNCT
awl-420	42	1	blau	blau	PROPN
awl-420	42	2	and	and	CCONJ
awl-420	42	3	kahn	kahn	PROPN
awl-420	42	4	(	(	PUNCT
awl-420	42	5	2017	2017	NUM
awl-420	42	6	)	)	PUNCT
awl-420	42	7	researched	research	VERB
awl-420	42	8	the	the	DET
awl-420	42	9	gender	gender	NOUN
awl-420	42	10	pay	pay	NOUN
awl-420	42	11	equity	equity	NOUN
awl-420	42	12	issue	issue	NOUN
awl-420	42	13	utilizing	utilize	VERB
awl-420	42	14	a	a	DET
awl-420	42	15	sample	sample	NOUN
awl-420	42	16	size	size	NOUN
awl-420	42	17	that	that	PRON
awl-420	42	18	only	only	ADV
awl-420	42	19	consisted	consist	VERB
awl-420	42	20	of	of	ADP
awl-420	42	21	less	less	ADJ
awl-420	42	22	than	than	ADP
awl-420	42	23	25,000	25,000	NUM
awl-420	42	24	participants	participant	NOUN
awl-420	42	25	,	,	PUNCT
awl-420	42	26	not	not	PART
awl-420	42	27	representing	represent	VERB
awl-420	42	28	all	all	DET
awl-420	42	29	50	50	NUM
awl-420	42	30	states	state	NOUN
awl-420	42	31	,	,	PUNCT
awl-420	42	32	and	and	CCONJ
awl-420	42	33	requested	request	VERB
awl-420	42	34	an	an	DET
awl-420	42	35	entirely	entirely	ADV
awl-420	42	36	nationally	nationally	ADV
awl-420	42	37	representative	representative	ADJ
awl-420	42	38	dataset	dataset	NOUN
awl-420	42	39	.	.	PUNCT
awl-420	43	1	rosado	rosado	NOUN
awl-420	43	2	(	(	PUNCT
awl-420	43	3	2018	2018	NUM
awl-420	43	4	)	)	PUNCT
awl-420	43	5	researched	research	VERB
awl-420	43	6	gender	gender	NOUN
awl-420	43	7	pay	pay	NOUN
awl-420	43	8	equity	equity	NOUN
awl-420	43	9	issues	issue	NOUN
awl-420	43	10	trends	trend	NOUN
awl-420	43	11	but	but	CCONJ
awl-420	43	12	identified	identify	VERB
awl-420	43	13	limitations	limitation	NOUN
awl-420	43	14	in	in	ADP
awl-420	43	15	her	her	PRON
awl-420	43	16	qualitative	qualitative	ADJ
awl-420	43	17	study	study	NOUN
awl-420	43	18	.	.	PUNCT
awl-420	44	1	rosado	rosado	PROPN
awl-420	44	2	requested	request	VERB
awl-420	44	3	future	future	ADJ
awl-420	44	4	research	research	NOUN
awl-420	44	5	to	to	PART
awl-420	44	6	provide	provide	VERB
awl-420	44	7	a	a	DET
awl-420	44	8	larger	large	ADJ
awl-420	44	9	sample	sample	NOUN
awl-420	44	10	size	size	NOUN
awl-420	44	11	,	,	PUNCT
awl-420	44	12	industry	industry	NOUN
awl-420	44	13	assessment	assessment	NOUN
awl-420	44	14	,	,	PUNCT
awl-420	44	15	and	and	CCONJ
awl-420	44	16	the	the	DET
awl-420	44	17	use	use	NOUN
awl-420	44	18	of	of	ADP
awl-420	44	19	a	a	DET
awl-420	44	20	quantitative	quantitative	ADJ
awl-420	44	21	research	research	NOUN
awl-420	44	22	methodology	methodology	NOUN
awl-420	44	23	.	.	PUNCT
awl-420	45	1	the	the	DET
awl-420	45	2	previous	previous	ADJ
awl-420	45	3	literature	literature	NOUN
awl-420	45	4	gap	gap	NOUN
awl-420	45	5	of	of	ADP
awl-420	45	6	limited	limited	ADJ
awl-420	45	7	sample	sample	NOUN
awl-420	45	8	size	size	NOUN
awl-420	45	9	has	have	AUX
awl-420	45	10	led	lead	VERB
awl-420	45	11	to	to	ADP
awl-420	45	12	the	the	DET
awl-420	45	13	need	need	NOUN
awl-420	45	14	for	for	ADP
awl-420	45	15	a	a	DET
awl-420	45	16	qualitative	qualitative	ADJ
awl-420	45	17	nationwide	nationwide	ADJ
awl-420	45	18	data	datum	NOUN
awl-420	45	19	set	set	VERB
awl-420	45	20	that	that	PRON
awl-420	45	21	includes	include	VERB
awl-420	45	22	all	all	DET
awl-420	45	23	51	51	NUM
awl-420	45	24	states	state	NOUN
awl-420	45	25	(	(	PUNCT
awl-420	45	26	including	include	VERB
awl-420	45	27	d.c	d.c	PROPN
awl-420	45	28	.	.	PUNCT
awl-420	45	29	)	)	PUNCT
awl-420	45	30	and	and	CCONJ
awl-420	45	31	industry	industry	NOUN
awl-420	45	32	assessment	assessment	NOUN
awl-420	45	33	.	.	PUNCT
awl-420	46	1	additional	additional	ADJ
awl-420	46	2	gaps	gap	NOUN
awl-420	46	3	were	be	AUX
awl-420	46	4	found	find	VERB
awl-420	46	5	in	in	ADP
awl-420	46	6	the	the	DET
awl-420	46	7	previous	previous	ADJ
awl-420	46	8	literature	literature	NOUN
awl-420	46	9	.	.	PUNCT
awl-420	47	1	previous	previous	ADJ
awl-420	47	2	literature	literature	NOUN
awl-420	47	3	utilized	utilize	VERB
awl-420	47	4	outdated	outdated	ADJ
awl-420	47	5	sample	sample	NOUN
awl-420	47	6	data	datum	NOUN
awl-420	47	7	,	,	PUNCT
awl-420	47	8	which	which	PRON
awl-420	47	9	required	require	VERB
awl-420	47	10	further	further	ADJ
awl-420	47	11	research	research	NOUN
awl-420	47	12	.	.	PUNCT
awl-420	48	1	many	many	ADJ
awl-420	48	2	previous	previous	ADJ
awl-420	48	3	studies	study	NOUN
awl-420	48	4	that	that	PRON
awl-420	48	5	had	have	VERB
awl-420	48	6	limitations	limitation	NOUN
awl-420	48	7	of	of	ADP
awl-420	48	8	sample	sample	NOUN
awl-420	48	9	size	size	NOUN
awl-420	48	10	also	also	ADV
awl-420	48	11	utilized	utilize	VERB
awl-420	48	12	outdated	outdated	ADJ
awl-420	48	13	datasets	dataset	NOUN
awl-420	48	14	.	.	PUNCT
awl-420	49	1	cortés	cortés	NOUN
awl-420	49	2	and	and	CCONJ
awl-420	49	3	pan	pan	PROPN
awl-420	49	4	's	's	PART
awl-420	49	5	(	(	PUNCT
awl-420	49	6	2019	2019	NUM
awl-420	49	7	)	)	PUNCT
awl-420	49	8	researched	research	VERB
awl-420	49	9	pay	pay	NOUN
awl-420	49	10	equity	equity	NOUN
awl-420	49	11	and	and	CCONJ
awl-420	49	12	used	use	VERB
awl-420	49	13	a	a	DET
awl-420	49	14	dataset	dataset	NOUN
awl-420	49	15	that	that	PRON
awl-420	49	16	was	be	AUX
awl-420	49	17	eight	eight	NUM
awl-420	49	18	years	year	NOUN
awl-420	49	19	old	old	ADJ
awl-420	49	20	at	at	ADP
awl-420	49	21	completion	completion	NOUN
awl-420	49	22	.	.	PUNCT
awl-420	50	1	the	the	DET
awl-420	50	2	dataset	dataset	NOUN
awl-420	50	3	that	that	PRON
awl-420	50	4	was	be	AUX
awl-420	50	5	used	use	VERB
awl-420	50	6	was	be	AUX
awl-420	50	7	the	the	DET
awl-420	50	8	2011	2011	NUM
awl-420	50	9	american	american	ADJ
awl-420	50	10	community	community	NOUN
awl-420	50	11	survey	survey	NOUN
awl-420	50	12	data	datum	NOUN
awl-420	50	13	.	.	PUNCT
awl-420	51	1	blau	blau	PROPN
awl-420	51	2	and	and	CCONJ
awl-420	51	3	kahn	kahn	PROPN
awl-420	51	4	's	's	PART
awl-420	51	5	(	(	PUNCT
awl-420	51	6	2017	2017	NUM
awl-420	51	7	)	)	PUNCT
awl-420	51	8	gender	gender	NOUN
awl-420	51	9	earning	earn	VERB
awl-420	51	10	equity	equity	NOUN
awl-420	51	11	study	study	NOUN
awl-420	51	12	utilized	utilize	VERB
awl-420	51	13	a	a	DET
awl-420	51	14	2010	2010	NUM
awl-420	51	15	dataset	dataset	NOUN
awl-420	51	16	that	that	PRON
awl-420	51	17	was	be	AUX
awl-420	51	18	seven	seven	NUM
awl-420	51	19	years	year	NOUN
awl-420	51	20	old	old	ADJ
awl-420	51	21	at	at	ADP
awl-420	51	22	completion	completion	NOUN
awl-420	51	23	and	and	CCONJ
awl-420	51	24	requested	request	VERB
awl-420	51	25	future	future	ADJ
awl-420	51	26	research	research	NOUN
awl-420	51	27	to	to	PART
awl-420	51	28	assess	assess	VERB
awl-420	51	29	occupations	occupation	NOUN
awl-420	51	30	and	and	CCONJ
awl-420	51	31	industries	industry	NOUN
awl-420	51	32	.	.	PUNCT
awl-420	52	1	goldin	goldin	NOUN
awl-420	52	2	(	(	PUNCT
awl-420	52	3	2017	2017	NUM
awl-420	52	4	)	)	PUNCT
awl-420	52	5	researched	research	VERB
awl-420	52	6	gender	gender	NOUN
awl-420	52	7	earning	earn	VERB
awl-420	52	8	equity	equity	NOUN
awl-420	52	9	utilizing	utilize	VERB
awl-420	52	10	a	a	DET
awl-420	52	11	17	17	NUM
awl-420	52	12	-	-	PUNCT
awl-420	52	13	year	year	NOUN
awl-420	52	14	-	-	PUNCT
awl-420	52	15	old	old	ADJ
awl-420	52	16	dataset	dataset	NOUN
awl-420	52	17	from	from	ADP
awl-420	52	18	the	the	DET
awl-420	52	19	year	year	NOUN
awl-420	52	20	2000	2000	NUM
awl-420	52	21	.	.	PUNCT
awl-420	53	1	in	in	ADP
awl-420	53	2	the	the	DET
awl-420	53	3	current	current	ADJ
awl-420	53	4	study	study	NOUN
awl-420	53	5	,	,	PUNCT
awl-420	53	6	the	the	DET
awl-420	53	7	researcher	researcher	NOUN
awl-420	53	8	used	use	VERB
awl-420	53	9	the	the	DET
awl-420	53	10	most	most	ADJ
awl-420	53	11	up	up	ADP
awl-420	53	12	-	-	PUNCT
awl-420	53	13	to	to	ADP
awl-420	53	14	-	-	PUNCT
awl-420	53	15	date	date	NOUN
awl-420	53	16	dataset	dataset	NOUN
awl-420	53	17	to	to	PART
awl-420	53	18	ensure	ensure	VERB
awl-420	53	19	the	the	DET
awl-420	53	20	validity	validity	NOUN
awl-420	53	21	of	of	ADP
awl-420	53	22	the	the	DET
awl-420	53	23	results	result	NOUN
awl-420	53	24	.	.	PUNCT
awl-420	54	1	methods	method	NOUN
awl-420	54	2	the	the	DET
awl-420	54	3	purpose	purpose	NOUN
awl-420	54	4	of	of	ADP
awl-420	54	5	this	this	DET
awl-420	54	6	quantitative	quantitative	ADJ
awl-420	54	7	,	,	PUNCT
awl-420	54	8	nonexperimental	nonexperimental	ADJ
awl-420	54	9	,	,	PUNCT
awl-420	54	10	comparative	comparative	ADJ
awl-420	54	11	study	study	NOUN
awl-420	54	12	was	be	AUX
awl-420	54	13	to	to	PART
awl-420	54	14	examine	examine	VERB
awl-420	54	15	differences	difference	NOUN
awl-420	54	16	in	in	ADP
awl-420	54	17	gender	gender	NOUN
awl-420	54	18	pay	pay	NOUN
awl-420	54	19	equity	equity	NOUN
awl-420	54	20	across	across	ADP
awl-420	54	21	states	state	NOUN
awl-420	54	22	and	and	CCONJ
awl-420	54	23	industries	industry	NOUN
awl-420	54	24	in	in	ADP
awl-420	54	25	the	the	DET
awl-420	54	26	u.s	u.s	PROPN
awl-420	54	27	.	.	PROPN
awl-420	54	28	economy	economy	NOUN
awl-420	54	29	's	's	PART
awl-420	54	30	public	public	ADJ
awl-420	54	31	sector	sector	NOUN
awl-420	54	32	.	.	PUNCT
awl-420	55	1	the	the	DET
awl-420	55	2	study	study	NOUN
awl-420	55	3	was	be	AUX
awl-420	55	4	conducted	conduct	VERB
awl-420	55	5	using	use	VERB
awl-420	55	6	archival	archival	NOUN
awl-420	55	7	data	datum	NOUN
awl-420	55	8	from	from	ADP
awl-420	55	9	the	the	DET
awl-420	55	10	2017	2017	NUM
awl-420	55	11	american	american	ADJ
awl-420	55	12	community	community	NOUN
awl-420	55	13	survey	survey	NOUN
awl-420	55	14	.	.	PUNCT
awl-420	56	1	out	out	ADP
awl-420	56	2	of	of	ADP
awl-420	56	3	3,526,808	3,526,808	NUM
awl-420	56	4	responses	response	NOUN
awl-420	56	5	to	to	ADP
awl-420	56	6	that	that	DET
awl-420	56	7	survey	survey	NOUN
awl-420	56	8	,	,	PUNCT
awl-420	56	9	only	only	ADV
awl-420	56	10	2,145,639	2,145,639	NUM
awl-420	56	11	were	be	AUX
awl-420	56	12	retained	retain	VERB
awl-420	56	13	in	in	ADP
awl-420	56	14	the	the	DET
awl-420	56	15	final	final	ADJ
awl-420	56	16	dataset	dataset	NOUN
awl-420	56	17	because	because	SCONJ
awl-420	56	18	the	the	DET
awl-420	56	19	united	united	PROPN
awl-420	56	20	states	states	PROPN
awl-420	56	21	census	census	PROPN
awl-420	56	22	bureau	bureau	PROPN
awl-420	56	23	only	only	ADV
awl-420	56	24	accepts	accept	VERB
awl-420	56	25	fully	fully	ADV
awl-420	56	26	completed	complete	VERB
awl-420	56	27	surveys	survey	NOUN
awl-420	56	28	.	.	PUNCT
awl-420	57	1	the	the	DET
awl-420	57	2	researcher	researcher	NOUN
awl-420	57	3	downloaded	download	VERB
awl-420	57	4	survey	survey	NOUN
awl-420	57	5	data	datum	NOUN
awl-420	57	6	aggregated	aggregate	VERB
awl-420	57	7	at	at	ADP
awl-420	57	8	the	the	DET
awl-420	57	9	subindustry	subindustry	NOUN
awl-420	57	10	level	level	NOUN
awl-420	57	11	by	by	ADP
awl-420	57	12	state	state	NOUN
awl-420	57	13	.	.	PUNCT
awl-420	58	1	the	the	DET
awl-420	58	2	dataset	dataset	NOUN
awl-420	58	3	analyzed	analyze	VERB
awl-420	58	4	in	in	ADP
awl-420	58	5	this	this	DET
awl-420	58	6	study	study	NOUN
awl-420	58	7	included	include	VERB
awl-420	58	8	1,834	1,834	NUM
awl-420	58	9	data	datum	NOUN
awl-420	58	10	points	point	NOUN
awl-420	58	11	representing	represent	VERB
awl-420	58	12	36	36	NUM
awl-420	58	13	subindustries	subindustrie	NOUN
awl-420	58	14	x	x	SYM
awl-420	58	15	51	51	NUM
awl-420	58	16	states	state	NOUN
awl-420	58	17	(	(	PUNCT
awl-420	58	18	including	include	VERB
awl-420	58	19	d.c	d.c	PROPN
awl-420	58	20	.	.	PUNCT
awl-420	58	21	)	)	PUNCT
awl-420	58	22	.	.	PUNCT
awl-420	59	1	district	district	PROPN
awl-420	59	2	of	of	ADP
awl-420	59	3	columbia	columbia	PROPN
awl-420	59	4	lacked	lack	VERB
awl-420	59	5	data	datum	NOUN
awl-420	59	6	from	from	ADP
awl-420	59	7	two	two	NUM
awl-420	59	8	subindustries	subindustrie	NOUN
awl-420	59	9	within	within	ADP
awl-420	59	10	the	the	DET
awl-420	59	11	major	major	ADJ
awl-420	59	12	industry	industry	NOUN
awl-420	59	13	of	of	ADP
awl-420	59	14	natural	natural	ADJ
awl-420	59	15	resources	resource	NOUN
awl-420	59	16	,	,	PUNCT
awl-420	59	17	construction	construction	NOUN
awl-420	59	18	,	,	PUNCT
awl-420	59	19	and	and	CCONJ
awl-420	59	20	maintenance	maintenance	NOUN
awl-420	59	21	(	(	PUNCT
awl-420	59	22	i.e.	i.e.	X
awl-420	59	23	,	,	PUNCT
awl-420	59	24	farming	farming	NOUN
awl-420	59	25	,	,	PUNCT
awl-420	59	26	fishing	fishing	NOUN
awl-420	59	27	,	,	PUNCT
awl-420	59	28	forestry	forestry	NOUN
awl-420	59	29	,	,	PUNCT
awl-420	59	30	and	and	CCONJ
awl-420	59	31	construction	construction	NOUN
awl-420	59	32	and	and	CCONJ
awl-420	59	33	extraction	extraction	NOUN
awl-420	59	34	occupations	occupation	NOUN
awl-420	59	35	)	)	PUNCT
awl-420	59	36	.	.	PUNCT
awl-420	60	1	this	this	PRON
awl-420	60	2	explains	explain	VERB
awl-420	60	3	why	why	SCONJ
awl-420	60	4	the	the	DET
awl-420	60	5	total	total	ADJ
awl-420	60	6	number	number	NOUN
awl-420	60	7	of	of	ADP
awl-420	60	8	cases	case	NOUN
awl-420	60	9	in	in	ADP
awl-420	60	10	the	the	DET
awl-420	60	11	data	data	NOUN
awl-420	60	12	file	file	NOUN
awl-420	60	13	was	be	AUX
awl-420	60	14	1,834	1,834	NUM
awl-420	60	15	instead	instead	ADV
awl-420	60	16	of	of	ADP
awl-420	60	17	1,836	1,836	NUM
awl-420	60	18	.	.	PUNCT
awl-420	61	1	there	there	PRON
awl-420	61	2	were	be	VERB
awl-420	61	3	36	36	NUM
awl-420	61	4	subindustries	subindustrie	NOUN
awl-420	61	5	within	within	ADP
awl-420	61	6	each	each	DET
awl-420	61	7	state	state	NOUN
awl-420	61	8	,	,	PUNCT
awl-420	61	9	with	with	ADP
awl-420	61	10	the	the	DET
awl-420	61	11	exception	exception	NOUN
awl-420	61	12	of	of	ADP
awl-420	61	13	the	the	DET
awl-420	61	14	district	district	NOUN
awl-420	61	15	of	of	ADP
awl-420	61	16	columbia	columbia	PROPN
awl-420	61	17	,	,	PUNCT
awl-420	61	18	which	which	PRON
awl-420	61	19	had	have	VERB
awl-420	61	20	only	only	ADV
awl-420	61	21	34	34	NUM
awl-420	61	22	subindustries	subindustrie	NOUN
awl-420	61	23	.	.	PUNCT
awl-420	62	1	subindustry	subindustry	NOUN
awl-420	62	2	data	data	PROPN
awl-420	62	3	points	point	NOUN
awl-420	62	4	best	well	ADV
awl-420	62	5	represented	represent	VERB
awl-420	62	6	the	the	DET
awl-420	62	7	total	total	ADJ
awl-420	62	8	population	population	NOUN
awl-420	62	9	.	.	PUNCT
awl-420	63	1	the	the	DET
awl-420	63	2	independent	independent	ADJ
awl-420	63	3	variables	variable	NOUN
awl-420	63	4	were	be	AUX
awl-420	63	5	state	state	NOUN
awl-420	63	6	and	and	CCONJ
awl-420	63	7	industry	industry	NOUN
awl-420	63	8	and	and	CCONJ
awl-420	63	9	compared	compare	VERB
awl-420	63	10	1,834	1,834	NUM
awl-420	63	11	data	datum	NOUN
awl-420	63	12	points	point	NOUN
awl-420	63	13	for	for	ADP
awl-420	63	14	36	36	NUM
awl-420	63	15	subindustries	subindustrie	NOUN
awl-420	63	16	within	within	ADP
awl-420	63	17	each	each	PRON
awl-420	63	18	of	of	ADP
awl-420	63	19	the	the	DET
awl-420	63	20	51	51	NUM
awl-420	63	21	states	state	NOUN
awl-420	63	22	(	(	PUNCT
awl-420	63	23	including	include	VERB
awl-420	63	24	d.c	d.c	PROPN
awl-420	63	25	.	.	PUNCT
awl-420	63	26	)	)	PUNCT
awl-420	64	1	the	the	DET
awl-420	64	2	dependent	dependent	ADJ
awl-420	64	3	variable	variable	NOUN
awl-420	64	4	was	be	AUX
awl-420	64	5	gender	gender	NOUN
awl-420	64	6	pay	pay	NOUN
awl-420	64	7	equity	equity	NOUN
awl-420	64	8	,	,	PUNCT
awl-420	64	9	operationalized	operationalize	VERB
awl-420	64	10	as	as	ADP
awl-420	64	11	the	the	DET
awl-420	64	12	proportion	proportion	NOUN
awl-420	64	13	of	of	ADP
awl-420	64	14	women	woman	NOUN
awl-420	64	15	's	's	PART
awl-420	64	16	pay	pay	NOUN
awl-420	64	17	relative	relative	ADJ
awl-420	64	18	to	to	ADP
awl-420	64	19	men	man	NOUN
awl-420	64	20	's	's	PART
awl-420	64	21	pay	pay	NOUN
awl-420	64	22	at	at	ADP
awl-420	64	23	the	the	DET
awl-420	64	24	subindustry	subindustry	ADJ
awl-420	64	25	level	level	NOUN
awl-420	64	26	in	in	ADP
awl-420	64	27	each	each	DET
awl-420	64	28	state	state	NOUN
awl-420	64	29	(	(	PUNCT
awl-420	64	30	measured	measure	VERB
awl-420	64	31	on	on	ADP
awl-420	64	32	a	a	DET
awl-420	64	33	ratio	ratio	NOUN
awl-420	64	34	scale	scale	NOUN
awl-420	64	35	as	as	ADP
awl-420	64	36	a	a	DET
awl-420	64	37	percentage	percentage	NOUN
awl-420	64	38	)	)	PUNCT
awl-420	64	39	.	.	PUNCT
awl-420	65	1	to	to	PART
awl-420	65	2	be	be	AUX
awl-420	65	3	more	more	ADV
awl-420	65	4	clear	clear	ADJ
awl-420	65	5	,	,	PUNCT
awl-420	65	6	"	"	PUNCT
awl-420	65	7	pay	pay	NOUN
awl-420	65	8	"	"	PUNCT
awl-420	65	9	was	be	AUX
awl-420	65	10	measured	measure	VERB
awl-420	65	11	as	as	ADP
awl-420	65	12	the	the	DET
awl-420	65	13	average	average	ADJ
awl-420	65	14	pay	pay	NOUN
awl-420	65	15	by	by	ADP
awl-420	65	16	gender	gender	NOUN
awl-420	65	17	and	and	CCONJ
awl-420	65	18	total	total	ADJ
awl-420	65	19	pay	pay	NOUN
awl-420	65	20	by	by	ADP
awl-420	65	21	gender	gender	NOUN
awl-420	65	22	(	(	PUNCT
awl-420	65	23	measured	measure	VERB
awl-420	65	24	as	as	ADP
awl-420	65	25	the	the	DET
awl-420	65	26	percent	percent	NOUN
awl-420	65	27	difference	difference	NOUN
awl-420	65	28	between	between	ADP
awl-420	65	29	the	the	DET
awl-420	65	30	median	median	ADJ
awl-420	65	31	values	value	NOUN
awl-420	65	32	for	for	ADP
awl-420	65	33	males	male	NOUN
awl-420	65	34	and	and	CCONJ
awl-420	65	35	for	for	ADP
awl-420	65	36	females	female	NOUN
awl-420	65	37	)	)	PUNCT
awl-420	65	38	.	.	PUNCT
awl-420	66	1	previous	previous	ADJ
awl-420	66	2	scholars	scholar	NOUN
awl-420	66	3	have	have	AUX
awl-420	66	4	called	call	VERB
awl-420	66	5	for	for	ADP
awl-420	66	6	an	an	DET
awl-420	66	7	investigation	investigation	NOUN
awl-420	66	8	on	on	ADP
awl-420	66	9	this	this	DET
awl-420	66	10	topic	topic	NOUN
awl-420	66	11	using	use	VERB
awl-420	66	12	a	a	DET
awl-420	66	13	quantitative	quantitative	ADJ
awl-420	66	14	research	research	NOUN
awl-420	66	15	method	method	NOUN
awl-420	66	16	approach	approach	NOUN
awl-420	66	17	(	(	PUNCT
awl-420	66	18	rosado	rosado	NOUN
awl-420	66	19	,	,	PUNCT
awl-420	66	20	2018	2018	NUM
awl-420	66	21	;	;	PUNCT
awl-420	66	22	swain	swain	PROPN
awl-420	66	23	,	,	PUNCT
awl-420	66	24	2019	2019	NUM
awl-420	66	25	)	)	PUNCT
awl-420	66	26	.	.	PUNCT
awl-420	67	1	a	a	DET
awl-420	67	2	more	more	ADV
awl-420	67	3	robust	robust	ADJ
awl-420	67	4	conclusion	conclusion	NOUN
awl-420	67	5	of	of	ADP
awl-420	67	6	statistical	statistical	ADJ
awl-420	67	7	assessment	assessment	NOUN
awl-420	67	8	to	to	PART
awl-420	67	9	compare	compare	VERB
awl-420	67	10	data	datum	NOUN
awl-420	67	11	between	between	ADP
awl-420	67	12	the	the	DET
awl-420	67	13	studies	study	NOUN
awl-420	67	14	and	and	CCONJ
awl-420	67	15	variables	variable	NOUN
awl-420	67	16	may	may	AUX
awl-420	67	17	increase	increase	VERB
awl-420	67	18	analytical	analytical	ADJ
awl-420	67	19	and	and	CCONJ
awl-420	67	20	generalized	generalized	ADJ
awl-420	67	21	effectiveness	effectiveness	NOUN
awl-420	67	22	utilizing	utilize	VERB
awl-420	67	23	a	a	DET
awl-420	67	24	quantitative	quantitative	ADJ
awl-420	67	25	research	research	NOUN
awl-420	67	26	method	method	NOUN
awl-420	67	27	.	.	PUNCT
awl-420	68	1	the	the	DET
awl-420	68	2	data	data	NOUN
awl-420	68	3	analysis	analysis	NOUN
awl-420	68	4	provided	provide	VERB
awl-420	68	5	information	information	NOUN
awl-420	68	6	about	about	ADP
awl-420	68	7	gender	gender	NOUN
awl-420	68	8	pay	pay	NOUN
awl-420	68	9	equity	equity	NOUN
awl-420	68	10	in	in	ADP
awl-420	68	11	all	all	DET
awl-420	68	12	50	50	NUM
awl-420	68	13	states	state	NOUN
awl-420	68	14	plus	plus	CCONJ
awl-420	68	15	the	the	DET
awl-420	68	16	district	district	NOUN
awl-420	68	17	of	of	ADP
awl-420	68	18	columbia	columbia	PROPN
awl-420	68	19	and	and	CCONJ
awl-420	68	20	the	the	DET
awl-420	68	21	industries	industry	NOUN
awl-420	68	22	within	within	ADP
awl-420	68	23	each	each	DET
awl-420	68	24	state	state	NOUN
awl-420	68	25	.	.	PUNCT
awl-420	69	1	analyses	analysis	NOUN
awl-420	69	2	of	of	ADP
awl-420	69	3	gender	gender	NOUN
awl-420	69	4	pay	pay	NOUN
awl-420	69	5	data	datum	NOUN
awl-420	69	6	were	be	AUX
awl-420	69	7	conducted	conduct	VERB
awl-420	69	8	with	with	ADP
awl-420	69	9	ibm	ibm	PROPN
awl-420	69	10	spss	spss	PROPN
awl-420	69	11	statistics	statistics	PROPN
awl-420	69	12	software	software	NOUN
awl-420	69	13	to	to	PART
awl-420	69	14	assess	assess	VERB
awl-420	69	15	gender	gender	NOUN
awl-420	69	16	pay	pay	NOUN
awl-420	69	17	equity	equity	NOUN
awl-420	69	18	specifics	specific	NOUN
awl-420	69	19	.	.	PUNCT
awl-420	70	1	the	the	DET
awl-420	70	2	u.s	u.s	PROPN
awl-420	70	3	.	.	PROPN
awl-420	70	4	census	census	PROPN
awl-420	70	5	bureau	bureau	PROPN
awl-420	70	6	administered	administer	VERB
awl-420	70	7	the	the	DET
awl-420	70	8	2017	2017	NUM
awl-420	70	9	american	american	ADJ
awl-420	70	10	community	community	NOUN
awl-420	70	11	survey	survey	NOUN
awl-420	70	12	,	,	PUNCT
awl-420	70	13	and	and	CCONJ
awl-420	70	14	this	this	DET
awl-420	70	15	dataset	dataset	NOUN
awl-420	70	16	provided	provide	VERB
awl-420	70	17	a	a	DET
awl-420	70	18	significant	significant	ADJ
awl-420	70	19	amount	amount	NOUN
awl-420	70	20	of	of	ADP
awl-420	70	21	gender	gender	NOUN
awl-420	70	22	pay	pay	NOUN
awl-420	70	23	data	datum	NOUN
awl-420	70	24	for	for	ADP
awl-420	70	25	men	man	NOUN
awl-420	70	26	and	and	CCONJ
awl-420	70	27	women	woman	NOUN
awl-420	70	28	at	at	ADP
awl-420	70	29	an	an	DET
awl-420	70	30	individual	individual	ADJ
awl-420	70	31	state	state	NOUN
awl-420	70	32	level	level	NOUN
awl-420	70	33	.	.	PUNCT
awl-420	71	1	gender	gender	NOUN
awl-420	71	2	pay	pay	NOUN
awl-420	71	3	data	datum	NOUN
awl-420	71	4	retrieved	retrieve	VERB
awl-420	71	5	from	from	ADP
awl-420	71	6	the	the	DET
awl-420	71	7	united	united	PROPN
awl-420	71	8	states	states	PROPN
awl-420	71	9	census	census	PROPN
awl-420	71	10	bureau	bureau	PROPN
awl-420	71	11	(	(	PUNCT
awl-420	71	12	american	american	ADJ
awl-420	71	13	community	community	NOUN
awl-420	71	14	survey	survey	NOUN
awl-420	71	15	)	)	PUNCT
awl-420	71	16	were	be	AUX
awl-420	71	17	analyzed	analyze	VERB
awl-420	71	18	to	to	PART
awl-420	71	19	assess	assess	VERB
awl-420	71	20	the	the	DET
awl-420	71	21	gender	gender	NOUN
awl-420	71	22	pay	pay	NOUN
awl-420	71	23	equity	equity	NOUN
awl-420	71	24	percentage	percentage	NOUN
awl-420	71	25	between	between	ADP
awl-420	71	26	men	man	NOUN
awl-420	71	27	and	and	CCONJ
awl-420	71	28	women	woman	NOUN
awl-420	71	29	.	.	PUNCT
awl-420	72	1	the	the	DET
awl-420	72	2	american	american	PROPN
awl-420	72	3	community	community	NOUN
awl-420	72	4	survey	survey	VERB
awl-420	72	5	raw	raw	ADJ
awl-420	72	6	data	datum	NOUN
awl-420	72	7	provided	provide	VERB
awl-420	72	8	the	the	DET
awl-420	72	9	percentage	percentage	NOUN
awl-420	72	10	of	of	ADP
awl-420	72	11	gender	gender	NOUN
awl-420	72	12	pay	pay	NOUN
awl-420	72	13	equity	equity	NOUN
awl-420	72	14	for	for	ADP
awl-420	72	15	each	each	DET
awl-420	72	16	subindustry	subindustry	NOUN
awl-420	72	17	within	within	ADP
awl-420	72	18	each	each	DET
awl-420	72	19	state	state	NOUN
awl-420	72	20	.	.	PUNCT
awl-420	73	1	in	in	ADP
awl-420	73	2	this	this	DET
awl-420	73	3	study	study	NOUN
awl-420	73	4	,	,	PUNCT
awl-420	73	5	the	the	DET
awl-420	73	6	percentage	percentage	NOUN
awl-420	73	7	of	of	ADP
awl-420	73	8	gender	gender	NOUN
awl-420	73	9	pay	pay	NOUN
awl-420	73	10	represents	represent	VERB
awl-420	73	11	the	the	DET
awl-420	73	12	compensation	compensation	NOUN
awl-420	73	13	ratio	ratio	NOUN
awl-420	73	14	between	between	ADP
awl-420	73	15	men	man	NOUN
awl-420	73	16	and	and	CCONJ
awl-420	73	17	women	woman	NOUN
awl-420	73	18	.	.	PUNCT
awl-420	74	1	higher	high	ADJ
awl-420	74	2	percentages	percentage	NOUN
awl-420	74	3	indicated	indicate	VERB
awl-420	74	4	better	well	ADJ
awl-420	74	5	pay	pay	VERB
awl-420	74	6	equity	equity	NOUN
awl-420	74	7	for	for	ADP
awl-420	74	8	women	woman	NOUN
awl-420	74	9	relative	relative	ADJ
awl-420	74	10	to	to	ADP
awl-420	74	11	men	man	NOUN
awl-420	74	12	.	.	PUNCT
awl-420	75	1	values	value	NOUN
awl-420	75	2	below	below	ADP
awl-420	75	3	100	100	NUM
awl-420	75	4	%	%	NOUN
awl-420	75	5	indicated	indicate	VERB
awl-420	75	6	that	that	SCONJ
awl-420	75	7	women	woman	NOUN
awl-420	75	8	were	be	AUX
awl-420	75	9	paid	pay	VERB
awl-420	75	10	less	less	ADJ
awl-420	75	11	than	than	ADP
awl-420	75	12	men	man	NOUN
awl-420	75	13	,	,	PUNCT
awl-420	75	14	and	and	CCONJ
awl-420	75	15	percentages	percentage	NOUN
awl-420	75	16	above	above	ADP
awl-420	75	17	100	100	NUM
awl-420	75	18	%	%	NOUN
awl-420	75	19	indicated	indicate	VERB
awl-420	75	20	that	that	SCONJ
awl-420	75	21	women	woman	NOUN
awl-420	75	22	were	be	AUX
awl-420	75	23	paid	pay	VERB
awl-420	75	24	more	more	ADJ
awl-420	75	25	than	than	ADP
awl-420	75	26	men	man	NOUN
awl-420	75	27	.	.	PUNCT
awl-420	76	1	states	state	NOUN
awl-420	76	2	were	be	AUX
awl-420	76	3	broken	break	VERB
awl-420	76	4	into	into	ADP
awl-420	76	5	the	the	DET
awl-420	76	6	five	five	NUM
awl-420	76	7	major	major	ADJ
awl-420	76	8	industries	industry	NOUN
awl-420	76	9	to	to	PART
awl-420	76	10	assess	assess	VERB
awl-420	76	11	industry	industry	NOUN
awl-420	76	12	bias	bias	NOUN
awl-420	76	13	.	.	PUNCT
awl-420	77	1	the	the	DET
awl-420	77	2	2017	2017	NUM
awl-420	77	3	american	american	ADJ
awl-420	77	4	community	community	NOUN
awl-420	77	5	survey	survey	VERB
awl-420	77	6	raw	raw	ADJ
awl-420	77	7	dataset	dataset	NOUN
awl-420	77	8	provided	provide	VERB
awl-420	77	9	all	all	DET
awl-420	77	10	data	datum	NOUN
awl-420	77	11	points	point	NOUN
awl-420	77	12	(	(	PUNCT
awl-420	77	13	percentages	percentage	NOUN
awl-420	77	14	)	)	PUNCT
awl-420	77	15	.	.	PUNCT
awl-420	78	1	the	the	DET
awl-420	78	2	variables	variable	NOUN
awl-420	78	3	were	be	AUX
awl-420	78	4	gender	gender	NOUN
awl-420	78	5	pay	pay	NOUN
awl-420	78	6	equity	equity	NOUN
awl-420	78	7	,	,	PUNCT
awl-420	78	8	state	state	NOUN
awl-420	78	9	,	,	PUNCT
awl-420	78	10	and	and	CCONJ
awl-420	78	11	industry	industry	NOUN
awl-420	78	12	.	.	PUNCT
awl-420	79	1	it	it	PRON
awl-420	79	2	is	be	AUX
awl-420	79	3	important	important	ADJ
awl-420	79	4	to	to	PART
awl-420	79	5	note	note	VERB
awl-420	79	6	that	that	SCONJ
awl-420	79	7	the	the	DET
awl-420	79	8	dependent	dependent	ADJ
awl-420	79	9	variable	variable	NOUN
awl-420	79	10	of	of	ADP
awl-420	79	11	gender	gender	NOUN
awl-420	79	12	pay	pay	NOUN
awl-420	79	13	equity	equity	NOUN
awl-420	79	14	was	be	AUX
awl-420	79	15	utilized	utilize	VERB
awl-420	79	16	for	for	ADP
awl-420	79	17	both	both	DET
awl-420	79	18	research	research	NOUN
awl-420	79	19	questions	question	NOUN
awl-420	79	20	.	.	PUNCT
awl-420	80	1	the	the	DET
awl-420	80	2	analysis	analysis	NOUN
awl-420	80	3	involved	involve	VERB
awl-420	80	4	two	two	NUM
awl-420	80	5	anova	anova	PROPN
awl-420	80	6	tests	test	NOUN
awl-420	80	7	comparing	compare	VERB
awl-420	80	8	states	state	NOUN
awl-420	80	9	and	and	CCONJ
awl-420	80	10	industries	industry	NOUN
awl-420	80	11	in	in	ADP
awl-420	80	12	terms	term	NOUN
awl-420	80	13	of	of	ADP
awl-420	80	14	the	the	DET
awl-420	80	15	dependent	dependent	ADJ
awl-420	80	16	variable	variable	NOUN
awl-420	80	17	.	.	PUNCT
awl-420	81	1	a	a	DET
awl-420	81	2	bonferroni	bonferroni	NOUN
awl-420	81	3	(	(	PUNCT
awl-420	81	4	1936	1936	NUM
awl-420	81	5	)	)	PUNCT
awl-420	81	6	correction	correction	NOUN
awl-420	81	7	was	be	AUX
awl-420	81	8	applied	apply	VERB
awl-420	81	9	to	to	ADP
awl-420	81	10	the	the	DET
awl-420	81	11	statistical	statistical	ADJ
awl-420	81	12	significance	significance	NOUN
awl-420	81	13	level	level	NOUN
awl-420	81	14	to	to	PART
awl-420	81	15	prevent	prevent	VERB
awl-420	81	16	type	type	NOUN
awl-420	81	17	i	i	PRON
awl-420	81	18	error	error	NOUN
awl-420	81	19	inflation	inflation	NOUN
awl-420	81	20	.	.	PUNCT
awl-420	82	1	the	the	DET
awl-420	82	2	corrected	correct	VERB
awl-420	82	3	alpha	alpha	NOUN
awl-420	82	4	became	become	VERB
awl-420	82	5	.025	.025	NUM
awl-420	82	6	(	(	PUNCT
awl-420	82	7	.05	.05	NUM
awl-420	82	8	/	/	SYM
awl-420	82	9	2	2	NUM
awl-420	82	10	=	=	SYM
awl-420	82	11	.025	.025	NUM
awl-420	82	12	)	)	PUNCT
awl-420	82	13	.	.	PUNCT
awl-420	83	1	the	the	DET
awl-420	83	2	following	follow	VERB
awl-420	83	3	research	research	NOUN
awl-420	83	4	questions	question	NOUN
awl-420	83	5	and	and	CCONJ
awl-420	83	6	corresponding	correspond	VERB
awl-420	83	7	hypotheses	hypothesis	NOUN
awl-420	83	8	guided	guide	VERB
awl-420	83	9	this	this	DET
awl-420	83	10	quantitative	quantitative	ADJ
awl-420	83	11	comparative	comparative	ADJ
awl-420	83	12	study	study	NOUN
awl-420	83	13	:	:	PUNCT
awl-420	83	14	106	106	NUM
awl-420	83	15	advancing	advance	VERB
awl-420	83	16	women	woman	NOUN
awl-420	83	17	in	in	ADP
awl-420	83	18	leadership	leadership	NOUN
awl-420	83	19	journal	journal	NOUN
awl-420	83	20	-	-	PUNCT
awl-420	83	21	volume	volume	NOUN
awl-420	83	22	41	41	NUM
awl-420	83	23	rq1	rq1	NOUN
awl-420	83	24	:	:	PUNCT
awl-420	83	25	are	be	AUX
awl-420	83	26	there	there	PRON
awl-420	83	27	any	any	DET
awl-420	83	28	statistically	statistically	ADV
awl-420	83	29	significant	significant	ADJ
awl-420	83	30	differences	difference	NOUN
awl-420	83	31	in	in	ADP
awl-420	83	32	gender	gender	NOUN
awl-420	83	33	pay	pay	NOUN
awl-420	83	34	equity	equity	NOUN
awl-420	83	35	among	among	ADP
awl-420	83	36	the	the	DET
awl-420	83	37	51	51	NUM
awl-420	83	38	states	state	NOUN
awl-420	83	39	(	(	PUNCT
awl-420	83	40	including	include	VERB
awl-420	83	41	d.c	d.c	PROPN
awl-420	83	42	.	.	PUNCT
awl-420	83	43	)	)	PUNCT
awl-420	84	1	in	in	ADP
awl-420	84	2	the	the	DET
awl-420	84	3	united	united	PROPN
awl-420	84	4	states	states	PROPN
awl-420	84	5	public	public	ADJ
awl-420	84	6	sector	sector	NOUN
awl-420	84	7	?	?	PUNCT
awl-420	85	1	h10	h10	NOUN
awl-420	85	2	:	:	PUNCT
awl-420	85	3	there	there	PRON
awl-420	85	4	is	be	VERB
awl-420	85	5	no	no	DET
awl-420	85	6	statistically	statistically	ADV
awl-420	85	7	significant	significant	ADJ
awl-420	85	8	difference	difference	NOUN
awl-420	85	9	in	in	ADP
awl-420	85	10	gender	gender	NOUN
awl-420	85	11	pay	pay	NOUN
awl-420	85	12	equity	equity	NOUN
awl-420	85	13	among	among	ADP
awl-420	85	14	the	the	DET
awl-420	85	15	51	51	NUM
awl-420	85	16	states	state	NOUN
awl-420	85	17	(	(	PUNCT
awl-420	85	18	including	include	VERB
awl-420	85	19	d.c	d.c	PROPN
awl-420	85	20	.	.	PUNCT
awl-420	85	21	)	)	PUNCT
awl-420	86	1	in	in	ADP
awl-420	86	2	the	the	DET
awl-420	86	3	united	united	PROPN
awl-420	86	4	states	states	PROPN
awl-420	86	5	public	public	ADJ
awl-420	86	6	sector	sector	NOUN
awl-420	86	7	.	.	PUNCT
awl-420	87	1	h1a	h1a	NOUN
awl-420	87	2	:	:	PUNCT
awl-420	87	3	there	there	PRON
awl-420	87	4	is	be	VERB
awl-420	87	5	at	at	ADV
awl-420	87	6	least	least	ADJ
awl-420	87	7	one	one	NUM
awl-420	87	8	statistically	statistically	ADV
awl-420	87	9	significant	significant	ADJ
awl-420	87	10	difference	difference	NOUN
awl-420	87	11	in	in	ADP
awl-420	87	12	gender	gender	NOUN
awl-420	87	13	pay	pay	NOUN
awl-420	87	14	equity	equity	NOUN
awl-420	87	15	among	among	ADP
awl-420	87	16	the	the	DET
awl-420	87	17	51	51	NUM
awl-420	87	18	states	state	NOUN
awl-420	87	19	(	(	PUNCT
awl-420	87	20	including	include	VERB
awl-420	87	21	d.c	d.c	PROPN
awl-420	87	22	.	.	PUNCT
awl-420	87	23	)	)	PUNCT
awl-420	88	1	in	in	ADP
awl-420	88	2	the	the	DET
awl-420	88	3	united	united	PROPN
awl-420	88	4	states	states	PROPN
awl-420	88	5	public	public	ADJ
awl-420	88	6	sector	sector	NOUN
awl-420	88	7	.	.	PUNCT
awl-420	89	1	rq2	rq2	NOUN
awl-420	89	2	:	:	PUNCT
awl-420	89	3	are	be	AUX
awl-420	89	4	there	there	PRON
awl-420	89	5	any	any	DET
awl-420	89	6	statistically	statistically	ADV
awl-420	89	7	significant	significant	ADJ
awl-420	89	8	differences	difference	NOUN
awl-420	89	9	in	in	ADP
awl-420	89	10	gender	gender	NOUN
awl-420	89	11	pay	pay	NOUN
awl-420	89	12	equity	equity	NOUN
awl-420	89	13	among	among	ADP
awl-420	89	14	the	the	DET
awl-420	89	15	five	five	NUM
awl-420	89	16	major	major	ADJ
awl-420	89	17	industries	industry	NOUN
awl-420	89	18	in	in	ADP
awl-420	89	19	the	the	DET
awl-420	89	20	united	united	PROPN
awl-420	89	21	states	states	PROPN
awl-420	89	22	public	public	ADJ
awl-420	89	23	sector	sector	NOUN
awl-420	89	24	?	?	PUNCT
awl-420	90	1	h20	h20	NOUN
awl-420	90	2	:	:	PUNCT
awl-420	90	3	there	there	PRON
awl-420	90	4	is	be	VERB
awl-420	90	5	no	no	DET
awl-420	90	6	statistically	statistically	ADV
awl-420	90	7	significant	significant	ADJ
awl-420	90	8	difference	difference	NOUN
awl-420	90	9	in	in	ADP
awl-420	90	10	gender	gender	NOUN
awl-420	90	11	pay	pay	NOUN
awl-420	90	12	equity	equity	NOUN
awl-420	90	13	among	among	ADP
awl-420	90	14	the	the	DET
awl-420	90	15	five	five	NUM
awl-420	90	16	major	major	ADJ
awl-420	90	17	industries	industry	NOUN
awl-420	90	18	in	in	ADP
awl-420	90	19	the	the	DET
awl-420	90	20	united	united	PROPN
awl-420	90	21	states	states	PROPN
awl-420	90	22	public	public	ADJ
awl-420	90	23	sector	sector	NOUN
awl-420	90	24	.	.	PUNCT
awl-420	91	1	h2a	h2a	PRON
awl-420	91	2	:	:	PUNCT
awl-420	91	3	there	there	PRON
awl-420	91	4	is	be	VERB
awl-420	91	5	at	at	ADV
awl-420	91	6	least	least	ADJ
awl-420	91	7	one	one	NUM
awl-420	91	8	statistically	statistically	ADV
awl-420	91	9	significant	significant	ADJ
awl-420	91	10	difference	difference	NOUN
awl-420	91	11	in	in	ADP
awl-420	91	12	gender	gender	NOUN
awl-420	91	13	pay	pay	NOUN
awl-420	91	14	equity	equity	NOUN
awl-420	91	15	among	among	ADP
awl-420	91	16	the	the	DET
awl-420	91	17	five	five	NUM
awl-420	91	18	major	major	ADJ
awl-420	91	19	industries	industry	NOUN
awl-420	91	20	in	in	ADP
awl-420	91	21	the	the	DET
awl-420	91	22	united	united	PROPN
awl-420	91	23	states	states	PROPN
awl-420	91	24	public	public	ADJ
awl-420	91	25	sector	sector	NOUN
awl-420	91	26	.	.	PUNCT
awl-420	92	1	population	population	NOUN
awl-420	92	2	and	and	CCONJ
awl-420	92	3	sample	sample	NOUN
awl-420	92	4	selection	selection	NOUN
awl-420	92	5	this	this	DET
awl-420	92	6	study	study	NOUN
awl-420	92	7	's	's	PART
awl-420	92	8	general	general	ADJ
awl-420	92	9	population	population	NOUN
awl-420	92	10	was	be	AUX
awl-420	92	11	2.1	2.1	NUM
awl-420	92	12	million	million	NUM
awl-420	92	13	respondents	respondent	NOUN
awl-420	92	14	to	to	ADP
awl-420	92	15	the	the	DET
awl-420	92	16	american	american	ADJ
awl-420	92	17	community	community	NOUN
awl-420	92	18	survey	survey	NOUN
awl-420	92	19	of	of	ADP
awl-420	92	20	men	man	NOUN
awl-420	92	21	and	and	CCONJ
awl-420	92	22	women	woman	NOUN
awl-420	92	23	from	from	ADP
awl-420	92	24	the	the	DET
awl-420	92	25	united	united	PROPN
awl-420	92	26	states	states	PROPN
awl-420	92	27	public	public	ADJ
awl-420	92	28	sector	sector	NOUN
awl-420	92	29	.	.	PUNCT
awl-420	93	1	all	all	DET
awl-420	93	2	50	50	NUM
awl-420	93	3	states	state	NOUN
awl-420	93	4	,	,	PUNCT
awl-420	93	5	as	as	ADV
awl-420	93	6	well	well	ADV
awl-420	93	7	as	as	ADP
awl-420	93	8	the	the	DET
awl-420	93	9	district	district	NOUN
awl-420	93	10	of	of	ADP
awl-420	93	11	columbia	columbia	PROPN
awl-420	93	12	,	,	PUNCT
awl-420	93	13	were	be	AUX
awl-420	93	14	included	include	VERB
awl-420	93	15	.	.	PUNCT
awl-420	94	1	additionally	additionally	ADV
awl-420	94	2	,	,	PUNCT
awl-420	94	3	the	the	DET
awl-420	94	4	five	five	NUM
awl-420	94	5	major	major	ADJ
awl-420	94	6	industries	industry	NOUN
awl-420	94	7	in	in	ADP
awl-420	94	8	each	each	DET
awl-420	94	9	state	state	NOUN
awl-420	94	10	were	be	AUX
awl-420	94	11	included	include	VERB
awl-420	94	12	.	.	PUNCT
awl-420	95	1	the	the	DET
awl-420	95	2	original	original	ADJ
awl-420	95	3	2.1	2.1	NUM
awl-420	95	4	million	million	NUM
awl-420	95	5	data	datum	NOUN
awl-420	95	6	points	point	NOUN
awl-420	95	7	were	be	AUX
awl-420	95	8	archival	archival	NOUN
awl-420	95	9	data	datum	NOUN
awl-420	95	10	from	from	ADP
awl-420	95	11	the	the	DET
awl-420	95	12	united	united	PROPN
awl-420	95	13	states	states	PROPN
awl-420	95	14	census	census	PROPN
awl-420	95	15	bureau	bureau	PROPN
awl-420	95	16	.	.	PUNCT
awl-420	96	1	data	datum	NOUN
awl-420	96	2	authorization	authorization	NOUN
awl-420	96	3	was	be	AUX
awl-420	96	4	obtained	obtain	VERB
awl-420	96	5	from	from	ADP
awl-420	96	6	the	the	DET
awl-420	96	7	united	united	PROPN
awl-420	96	8	states	states	PROPN
awl-420	96	9	census	census	PROPN
awl-420	96	10	bureau	bureau	PROPN
awl-420	96	11	,	,	PUNCT
awl-420	96	12	center	center	NOUN
awl-420	96	13	for	for	ADP
awl-420	96	14	economic	economic	ADJ
awl-420	96	15	studies	study	NOUN
awl-420	96	16	(	(	PUNCT
awl-420	96	17	ces	ce	NOUN
awl-420	96	18	)	)	PUNCT
awl-420	96	19	,	,	PUNCT
awl-420	96	20	which	which	PRON
awl-420	96	21	provides	provide	VERB
awl-420	96	22	public	public	ADJ
awl-420	96	23	-	-	PUNCT
awl-420	96	24	use	use	NOUN
awl-420	96	25	data	datum	NOUN
awl-420	96	26	.	.	PUNCT
awl-420	97	1	email	email	NOUN
awl-420	97	2	confirmation	confirmation	NOUN
awl-420	97	3	of	of	ADP
awl-420	97	4	approval	approval	NOUN
awl-420	97	5	and	and	CCONJ
awl-420	97	6	authorization	authorization	NOUN
awl-420	97	7	to	to	PART
awl-420	97	8	utilize	utilize	VERB
awl-420	97	9	the	the	DET
awl-420	97	10	united	united	PROPN
awl-420	97	11	states	states	PROPN
awl-420	97	12	census	census	PROPN
awl-420	97	13	bureau	bureau	PROPN
awl-420	97	14	data	datum	NOUN
awl-420	97	15	was	be	AUX
awl-420	97	16	completed	complete	VERB
awl-420	97	17	.	.	PUNCT
awl-420	98	1	if	if	SCONJ
awl-420	98	2	authorization	authorization	NOUN
awl-420	98	3	from	from	ADP
awl-420	98	4	the	the	DET
awl-420	98	5	united	united	PROPN
awl-420	98	6	states	states	PROPN
awl-420	98	7	census	census	PROPN
awl-420	98	8	bureau	bureau	PROPN
awl-420	98	9	had	have	AUX
awl-420	98	10	not	not	PART
awl-420	98	11	been	be	AUX
awl-420	98	12	obtained	obtain	VERB
awl-420	98	13	,	,	PUNCT
awl-420	98	14	other	other	ADJ
awl-420	98	15	public	public	ADJ
awl-420	98	16	archival	archival	NOUN
awl-420	98	17	databases	database	NOUN
awl-420	98	18	would	would	AUX
awl-420	98	19	have	have	AUX
awl-420	98	20	been	be	AUX
awl-420	98	21	considered	consider	VERB
awl-420	98	22	.	.	PUNCT
awl-420	99	1	addressing	address	VERB
awl-420	99	2	the	the	DET
awl-420	99	3	problem	problem	NOUN
awl-420	99	4	statement	statement	NOUN
awl-420	99	5	and	and	CCONJ
awl-420	99	6	answering	answer	VERB
awl-420	99	7	both	both	DET
awl-420	99	8	gender	gender	NOUN
awl-420	99	9	pay	pay	NOUN
awl-420	99	10	equity	equity	NOUN
awl-420	99	11	research	research	NOUN
awl-420	99	12	questions	question	NOUN
awl-420	99	13	required	require	VERB
awl-420	99	14	two	two	NUM
awl-420	99	15	one	one	NUM
awl-420	99	16	-	-	PUNCT
awl-420	99	17	way	way	NOUN
awl-420	99	18	anovas	anovas	NOUN
awl-420	99	19	of	of	ADP
awl-420	99	20	aggregated	aggregate	VERB
awl-420	99	21	archival	archival	NOUN
awl-420	99	22	data	datum	NOUN
awl-420	99	23	collected	collect	VERB
awl-420	99	24	from	from	ADP
awl-420	99	25	the	the	DET
awl-420	99	26	united	united	PROPN
awl-420	99	27	states	states	PROPN
awl-420	99	28	census	census	PROPN
awl-420	99	29	bureau	bureau	PROPN
awl-420	99	30	data	datum	NOUN
awl-420	99	31	(	(	PUNCT
awl-420	99	32	american	american	ADJ
awl-420	99	33	community	community	NOUN
awl-420	99	34	survey	survey	NOUN
awl-420	99	35	)	)	PUNCT
awl-420	99	36	.	.	PUNCT
awl-420	100	1	the	the	DET
awl-420	100	2	aggregated	aggregate	VERB
awl-420	100	3	archival	archival	NOUN
awl-420	100	4	was	be	AUX
awl-420	100	5	retrieved	retrieve	VERB
awl-420	100	6	from	from	ADP
awl-420	100	7	the	the	DET
awl-420	100	8	2017	2017	NUM
awl-420	100	9	acs	acs	PROPN
awl-420	100	10	dataset	dataset	NOUN
awl-420	100	11	.	.	PUNCT
awl-420	101	1	raw	raw	ADJ
awl-420	101	2	data	datum	NOUN
awl-420	101	3	were	be	AUX
awl-420	101	4	aggregated	aggregate	VERB
awl-420	101	5	to	to	PART
awl-420	101	6	provide	provide	VERB
awl-420	101	7	a	a	DET
awl-420	101	8	single	single	ADJ
awl-420	101	9	data	data	NOUN
awl-420	101	10	point	point	NOUN
awl-420	101	11	for	for	ADP
awl-420	101	12	each	each	PRON
awl-420	101	13	of	of	ADP
awl-420	101	14	the	the	DET
awl-420	101	15	36	36	NUM
awl-420	101	16	subindustries	subindustrie	NOUN
awl-420	101	17	from	from	ADP
awl-420	101	18	each	each	PRON
awl-420	101	19	of	of	ADP
awl-420	101	20	the	the	DET
awl-420	101	21	51	51	NUM
awl-420	101	22	states	state	NOUN
awl-420	101	23	(	(	PUNCT
awl-420	101	24	including	include	VERB
awl-420	101	25	d.c	d.c	PROPN
awl-420	101	26	.	.	PROPN
awl-420	101	27	)	)	PUNCT
awl-420	101	28	,	,	PUNCT
awl-420	101	29	representing	represent	VERB
awl-420	101	30	the	the	DET
awl-420	101	31	1,834	1,834	NUM
awl-420	101	32	data	data	NOUN
awl-420	101	33	points	point	NOUN
awl-420	101	34	(	(	PUNCT
awl-420	101	35	the	the	DET
awl-420	101	36	district	district	PROPN
awl-420	101	37	of	of	ADP
awl-420	101	38	columbia	columbia	PROPN
awl-420	101	39	lacked	lack	VERB
awl-420	101	40	data	datum	NOUN
awl-420	101	41	from	from	ADP
awl-420	101	42	two	two	NUM
awl-420	101	43	subindustries	subindustrie	NOUN
awl-420	101	44	)	)	PUNCT
awl-420	101	45	.	.	PUNCT
awl-420	102	1	the	the	DET
awl-420	102	2	unit	unit	NOUN
awl-420	102	3	of	of	ADP
awl-420	102	4	observation	observation	NOUN
awl-420	102	5	in	in	ADP
awl-420	102	6	the	the	DET
awl-420	102	7	survey	survey	NOUN
awl-420	102	8	was	be	AUX
awl-420	102	9	the	the	DET
awl-420	102	10	individual	individual	ADJ
awl-420	102	11	respondent	respondent	NOUN
awl-420	102	12	,	,	PUNCT
awl-420	102	13	and	and	CCONJ
awl-420	102	14	the	the	DET
awl-420	102	15	unit	unit	NOUN
awl-420	102	16	of	of	ADP
awl-420	102	17	analysis	analysis	NOUN
awl-420	102	18	,	,	PUNCT
awl-420	102	19	subindustry	subindustry	NOUN
awl-420	102	20	identified	identify	VERB
awl-420	102	21	by	by	ADP
awl-420	102	22	state	state	NOUN
awl-420	102	23	,	,	PUNCT
awl-420	102	24	was	be	AUX
awl-420	102	25	utilized	utilize	VERB
awl-420	102	26	for	for	ADP
awl-420	102	27	analysis	analysis	NOUN
awl-420	102	28	.	.	PUNCT
awl-420	103	1	the	the	DET
awl-420	103	2	unit	unit	NOUN
awl-420	103	3	of	of	ADP
awl-420	103	4	analysis	analysis	NOUN
awl-420	103	5	had	have	VERB
awl-420	103	6	dual	dual	ADJ
awl-420	103	7	identification	identification	NOUN
awl-420	103	8	:	:	PUNCT
awl-420	103	9	subindustry	subindustry	NOUN
awl-420	103	10	x	x	PUNCT
awl-420	103	11	state	state	NOUN
awl-420	103	12	(	(	PUNCT
awl-420	103	13	36	36	NUM
awl-420	103	14	subindustries	subindustrie	NOUN
awl-420	103	15	x	x	SYM
awl-420	103	16	51	51	NUM
awl-420	103	17	states	state	NOUN
awl-420	103	18	=	=	SYM
awl-420	103	19	1836	1836	NUM
awl-420	103	20	cases	case	NOUN
awl-420	103	21	)	)	PUNCT
awl-420	103	22	.	.	PUNCT
awl-420	104	1	since	since	SCONJ
awl-420	104	2	the	the	DET
awl-420	104	3	unit	unit	NOUN
awl-420	104	4	of	of	ADP
awl-420	104	5	analysis	analysis	NOUN
awl-420	104	6	had	have	VERB
awl-420	104	7	dual	dual	ADJ
awl-420	104	8	identification	identification	NOUN
awl-420	104	9	,	,	PUNCT
awl-420	104	10	pay	pay	VERB
awl-420	104	11	data	datum	NOUN
awl-420	104	12	(	(	PUNCT
awl-420	104	13	unit	unit	NOUN
awl-420	104	14	of	of	ADP
awl-420	104	15	analysis	analysis	NOUN
awl-420	104	16	)	)	PUNCT
awl-420	104	17	from	from	ADP
awl-420	104	18	the	the	DET
awl-420	104	19	36	36	NUM
awl-420	104	20	subindustries	subindustrie	NOUN
awl-420	104	21	represent	represent	VERB
awl-420	104	22	the	the	DET
awl-420	104	23	dataset	dataset	NOUN
awl-420	104	24	for	for	ADP
awl-420	104	25	both	both	DET
awl-420	104	26	questions	question	NOUN
awl-420	104	27	.	.	PUNCT
awl-420	105	1	the	the	DET
awl-420	105	2	acs	acs	PROPN
awl-420	105	3	data	datum	NOUN
awl-420	105	4	are	be	AUX
awl-420	105	5	archival	archival	NOUN
awl-420	105	6	and	and	CCONJ
awl-420	105	7	publicly	publicly	ADV
awl-420	105	8	accessible	accessible	ADJ
awl-420	105	9	,	,	PUNCT
awl-420	105	10	indicating	indicate	VERB
awl-420	105	11	that	that	SCONJ
awl-420	105	12	no	no	DET
awl-420	105	13	participant	participant	ADJ
awl-420	105	14	approvals	approval	NOUN
awl-420	105	15	were	be	AUX
awl-420	105	16	needed	need	VERB
awl-420	105	17	.	.	PUNCT
awl-420	106	1	sample	sample	NOUN
awl-420	106	2	and	and	CCONJ
awl-420	106	3	target	target	NOUN
awl-420	106	4	sizes	size	NOUN
awl-420	106	5	were	be	AUX
awl-420	106	6	the	the	DET
awl-420	106	7	same	same	ADJ
awl-420	106	8	because	because	SCONJ
awl-420	106	9	the	the	DET
awl-420	106	10	archive	archive	NOUN
awl-420	106	11	includes	include	VERB
awl-420	106	12	a	a	DET
awl-420	106	13	total	total	NOUN
awl-420	106	14	of	of	ADP
awl-420	106	15	2.1	2.1	NUM
awl-420	106	16	million	million	NUM
awl-420	106	17	data	datum	NOUN
awl-420	106	18	points	point	NOUN
awl-420	106	19	.	.	PUNCT
awl-420	107	1	the	the	DET
awl-420	107	2	original	original	ADJ
awl-420	107	3	2017	2017	NUM
awl-420	107	4	acs	acs	PROPN
awl-420	107	5	dataset	dataset	NOUN
awl-420	107	6	included	include	VERB
awl-420	107	7	3,526,808	3,526,808	NUM
awl-420	107	8	responses	response	NOUN
awl-420	107	9	.	.	PUNCT
awl-420	108	1	the	the	DET
awl-420	108	2	final	final	ADJ
awl-420	108	3	data	datum	NOUN
awl-420	108	4	set	set	VERB
awl-420	108	5	consisted	consist	VERB
awl-420	108	6	of	of	ADP
awl-420	108	7	2,145,639	2,145,639	NUM
awl-420	108	8	data	datum	NOUN
awl-420	108	9	points	point	NOUN
awl-420	108	10	because	because	SCONJ
awl-420	108	11	the	the	DET
awl-420	108	12	united	united	PROPN
awl-420	108	13	states	states	PROPN
awl-420	108	14	census	census	PROPN
awl-420	108	15	bureau	bureau	PROPN
awl-420	108	16	only	only	ADV
awl-420	108	17	accepts	accept	VERB
awl-420	108	18	fully	fully	ADV
awl-420	108	19	completed	complete	VERB
awl-420	108	20	surveys	survey	NOUN
awl-420	108	21	.	.	PUNCT
awl-420	109	1	the	the	DET
awl-420	109	2	original	original	ADJ
awl-420	109	3	2.1	2.1	NUM
awl-420	109	4	million	million	NUM
awl-420	109	5	data	datum	NOUN
awl-420	109	6	points	point	NOUN
awl-420	109	7	were	be	AUX
awl-420	109	8	compared	compare	VERB
awl-420	109	9	to	to	ADP
awl-420	109	10	1,834	1,834	NUM
awl-420	109	11	data	datum	NOUN
awl-420	109	12	points	point	NOUN
awl-420	109	13	for	for	ADP
awl-420	109	14	analyses	analysis	NOUN
awl-420	109	15	(	(	PUNCT
awl-420	109	16	i.e.	i.e.	X
awl-420	109	17	,	,	PUNCT
awl-420	109	18	51	51	NUM
awl-420	109	19	states	state	NOUN
awl-420	109	20	(	(	PUNCT
awl-420	109	21	including	include	VERB
awl-420	109	22	d.c	d.c	PROPN
awl-420	109	23	.	.	PUNCT
awl-420	109	24	)	)	PUNCT
awl-420	110	1	and	and	CCONJ
awl-420	110	2	the	the	DET
awl-420	110	3	36	36	NUM
awl-420	110	4	subindustries	subindustrie	NOUN
awl-420	110	5	within	within	ADP
awl-420	110	6	each	each	DET
awl-420	110	7	state	state	NOUN
awl-420	110	8	)	)	PUNCT
awl-420	110	9	.	.	PUNCT
awl-420	111	1	district	district	PROPN
awl-420	111	2	of	of	ADP
awl-420	111	3	columbia	columbia	PROPN
awl-420	111	4	lacked	lack	VERB
awl-420	111	5	data	datum	NOUN
awl-420	111	6	from	from	ADP
awl-420	111	7	two	two	NUM
awl-420	111	8	subindustries	subindustrie	NOUN
awl-420	111	9	,	,	PUNCT
awl-420	111	10	resulting	result	VERB
awl-420	111	11	in	in	ADP
awl-420	111	12	a	a	DET
awl-420	111	13	total	total	ADJ
awl-420	111	14	dataset	dataset	NOUN
awl-420	111	15	of	of	ADP
awl-420	111	16	1,834	1,834	NUM
awl-420	111	17	compared	compare	VERB
awl-420	111	18	to	to	ADP
awl-420	111	19	1,836	1,836	NUM
awl-420	111	20	.	.	PUNCT
awl-420	112	1	the	the	DET
awl-420	112	2	two	two	NUM
awl-420	112	3	subindustries	subindustrie	NOUN
awl-420	112	4	not	not	PART
awl-420	112	5	represented	represent	VERB
awl-420	112	6	in	in	ADP
awl-420	112	7	the	the	DET
awl-420	112	8	district	district	NOUN
awl-420	112	9	of	of	ADP
awl-420	112	10	columbia	columbia	PROPN
awl-420	112	11	are	be	AUX
awl-420	112	12	within	within	ADP
awl-420	112	13	the	the	DET
awl-420	112	14	major	major	ADJ
awl-420	112	15	industry	industry	NOUN
awl-420	112	16	of	of	ADP
awl-420	112	17	natural	natural	ADJ
awl-420	112	18	resources	resource	NOUN
awl-420	112	19	,	,	PUNCT
awl-420	112	20	construction	construction	NOUN
awl-420	112	21	,	,	PUNCT
awl-420	112	22	and	and	CCONJ
awl-420	112	23	maintenance	maintenance	NOUN
awl-420	112	24	.	.	PUNCT
awl-420	113	1	the	the	DET
awl-420	113	2	two	two	NUM
awl-420	113	3	subindustries	subindustrie	NOUN
awl-420	113	4	are	be	AUX
awl-420	113	5	farming	farm	VERB
awl-420	113	6	,	,	PUNCT
awl-420	113	7	fishing	fishing	NOUN
awl-420	113	8	,	,	PUNCT
awl-420	113	9	forestry	forestry	NOUN
awl-420	113	10	,	,	PUNCT
awl-420	113	11	and	and	CCONJ
awl-420	113	12	construction	construction	NOUN
awl-420	113	13	and	and	CCONJ
awl-420	113	14	extraction	extraction	NOUN
awl-420	113	15	occupations	occupation	NOUN
awl-420	113	16	.	.	PUNCT
awl-420	114	1	the	the	DET
awl-420	114	2	united	united	PROPN
awl-420	114	3	states	states	PROPN
awl-420	114	4	census	census	PROPN
awl-420	114	5	bureau	bureau	PROPN
awl-420	114	6	has	have	VERB
awl-420	114	7	a	a	DET
awl-420	114	8	minimal	minimal	ADJ
awl-420	114	9	standard	standard	ADJ
awl-420	114	10	confidence	confidence	NOUN
awl-420	114	11	level	level	NOUN
awl-420	114	12	of	of	ADP
awl-420	114	13	90	90	NUM
awl-420	114	14	%	%	NOUN
awl-420	114	15	,	,	PUNCT
awl-420	114	16	with	with	ADP
awl-420	114	17	the	the	DET
awl-420	114	18	margin	margin	NOUN
awl-420	114	19	of	of	ADP
awl-420	114	20	error	error	NOUN
awl-420	114	21	(	(	PUNCT
awl-420	114	22	moe	moe	NOUN
awl-420	114	23	)	)	PUNCT
awl-420	114	24	=	=	NOUN
awl-420	114	25	1.645	1.645	NUM
awl-420	114	26	x	x	SYM
awl-420	114	27	s.e	s.e	PROPN
awl-420	114	28	.	.	PROPN
awl-420	114	29	s.e	s.e	PROPN
awl-420	114	30	.	.	PROPN
awl-420	114	31	stands	stand	VERB
awl-420	114	32	for	for	ADP
awl-420	114	33	standard	standard	ADJ
awl-420	114	34	error	error	NOUN
awl-420	114	35	(	(	PUNCT
awl-420	114	36	s.e	s.e	PROPN
awl-420	114	37	.	.	PROPN
awl-420	114	38	)	)	PUNCT
awl-420	114	39	,	,	PUNCT
awl-420	114	40	the	the	DET
awl-420	114	41	foundational	foundational	ADJ
awl-420	114	42	measure	measure	NOUN
awl-420	114	43	of	of	ADP
awl-420	114	44	the	the	DET
awl-420	114	45	variability	variability	NOUN
awl-420	114	46	of	of	ADP
awl-420	114	47	an	an	DET
awl-420	114	48	estimate	estimate	NOUN
awl-420	114	49	due	due	ADJ
awl-420	114	50	to	to	ADP
awl-420	114	51	sampling	sample	VERB
awl-420	114	52	.	.	PUNCT
awl-420	115	1	the	the	DET
awl-420	115	2	census	census	PROPN
awl-420	115	3	bureau	bureau	PROPN
awl-420	115	4	states	state	VERB
awl-420	115	5	alternate	alternate	ADJ
awl-420	115	6	confidence	confidence	NOUN
awl-420	115	7	levels	level	NOUN
awl-420	115	8	in	in	ADP
awl-420	115	9	data	datum	NOUN
awl-420	115	10	95	95	NUM
awl-420	115	11	%	%	NOUN
awl-420	115	12	and	and	CCONJ
awl-420	115	13	99	99	NUM
awl-420	115	14	%	%	NOUN
awl-420	115	15	,	,	PUNCT
awl-420	115	16	moe	moe	NOUN
awl-420	115	17	=	=	SYM
awl-420	115	18	1.96	1.96	NUM
awl-420	115	19	x	x	SYM
awl-420	115	20	s.e	s.e	PROPN
awl-420	115	21	.	.	PROPN
awl-420	115	22	,	,	PUNCT
awl-420	115	23	and	and	CCONJ
awl-420	115	24	2.58	2.58	NUM
awl-420	115	25	x	x	SYM
awl-420	115	26	s.e	s.e	AUX
awl-420	115	27	.	.	PROPN
awl-420	115	28	achieving	achieve	VERB
awl-420	115	29	the	the	DET
awl-420	115	30	highest	high	ADJ
awl-420	115	31	level	level	NOUN
awl-420	115	32	of	of	ADP
awl-420	115	33	confidence	confidence	NOUN
awl-420	115	34	in	in	ADP
awl-420	115	35	information	information	NOUN
awl-420	115	36	is	be	AUX
awl-420	115	37	critical	critical	ADJ
awl-420	115	38	;	;	PUNCT
awl-420	115	39	utilizing	utilize	VERB
awl-420	115	40	a	a	DET
awl-420	115	41	larger	large	ADJ
awl-420	115	42	geographical	geographical	ADJ
awl-420	115	43	size	size	NOUN
awl-420	115	44	and	and	CCONJ
awl-420	115	45	combining	combine	VERB
awl-420	115	46	estimates	estimate	NOUN
awl-420	115	47	across	across	ADP
awl-420	115	48	characteristics	characteristic	NOUN
awl-420	115	49	and	and	CCONJ
awl-420	115	50	geographies	geography	NOUN
awl-420	115	51	lowers	lower	VERB
awl-420	115	52	the	the	DET
awl-420	115	53	risk	risk	NOUN
awl-420	115	54	of	of	ADP
awl-420	115	55	estimate	estimate	NOUN
awl-420	115	56	sampling	sample	VERB
awl-420	115	57	variability	variability	NOUN
awl-420	115	58	(	(	PUNCT
awl-420	115	59	fuller	full	ADJ
awl-420	115	60	,	,	PUNCT
awl-420	115	61	2018	2018	NUM
awl-420	115	62	)	)	PUNCT
awl-420	115	63	.	.	PUNCT
awl-420	116	1	this	this	DET
awl-420	116	2	researcher	researcher	NOUN
awl-420	116	3	utilized	utilize	VERB
awl-420	116	4	a	a	DET
awl-420	116	5	large	large	ADJ
awl-420	116	6	geographic	geographic	ADJ
awl-420	116	7	size	size	NOUN
awl-420	116	8	consisting	consist	VERB
awl-420	116	9	of	of	ADP
awl-420	116	10	all	all	DET
awl-420	116	11	characteristics	characteristic	NOUN
awl-420	116	12	to	to	PART
awl-420	116	13	achieve	achieve	VERB
awl-420	116	14	99	99	NUM
awl-420	116	15	%	%	NOUN
awl-420	116	16	confidence	confidence	NOUN
awl-420	116	17	in	in	ADP
awl-420	116	18	data	datum	NOUN
awl-420	116	19	integrity	integrity	NOUN
awl-420	116	20	.	.	PUNCT
awl-420	117	1	table	table	NOUN
awl-420	117	2	1	1	NUM
awl-420	117	3	united	united	PROPN
awl-420	117	4	states	states	PROPN
awl-420	117	5	census	census	PROPN
awl-420	117	6	bureau	bureau	PROPN
awl-420	117	7	confidence	confidence	NOUN
awl-420	117	8	chart	chart	NOUN
awl-420	117	9	instrumentation	instrumentation	NOUN
awl-420	117	10	the	the	DET
awl-420	117	11	source	source	NOUN
awl-420	117	12	of	of	ADP
awl-420	117	13	all	all	DET
awl-420	117	14	data	datum	NOUN
awl-420	117	15	used	use	VERB
awl-420	117	16	in	in	ADP
awl-420	117	17	this	this	DET
awl-420	117	18	study	study	NOUN
awl-420	117	19	was	be	AUX
awl-420	117	20	the	the	DET
awl-420	117	21	u.s	u.s	PROPN
awl-420	117	22	.	.	PROPN
awl-420	117	23	census	census	PROPN
awl-420	117	24	bureau	bureau	PROPN
awl-420	117	25	,	,	PUNCT
awl-420	117	26	which	which	PRON
awl-420	117	27	collected	collect	VERB
awl-420	117	28	the	the	DET
awl-420	117	29	data	datum	NOUN
awl-420	117	30	through	through	ADP
awl-420	117	31	the	the	DET
awl-420	117	32	american	american	ADJ
awl-420	117	33	community	community	NOUN
awl-420	117	34	survey	survey	NOUN
awl-420	117	35	(	(	PUNCT
awl-420	117	36	acs	acs	PROPN
awl-420	117	37	)	)	PUNCT
awl-420	117	38	.	.	PUNCT
awl-420	118	1	the	the	DET
awl-420	118	2	2017	2017	NUM
awl-420	118	3	acs	acs	PROPN
awl-420	118	4	collected	collect	VERB
awl-420	118	5	data	datum	NOUN
awl-420	118	6	from	from	ADP
awl-420	118	7	2.1	2.1	NUM
awl-420	118	8	million	million	NUM
awl-420	118	9	public	public	ADJ
awl-420	118	10	sector	sector	NOUN
awl-420	118	11	employees	employee	NOUN
awl-420	118	12	.	.	PUNCT
awl-420	119	1	the	the	DET
awl-420	119	2	united	united	PROPN
awl-420	119	3	states	states	PROPN
awl-420	119	4	census	census	PROPN
awl-420	119	5	bureau	bureau	NOUN
awl-420	119	6	collects	collect	VERB
awl-420	119	7	data	datum	NOUN
awl-420	119	8	through	through	ADP
awl-420	119	9	two	two	NUM
awl-420	119	10	survey	survey	NOUN
awl-420	119	11	methods	method	NOUN
awl-420	119	12	:	:	PUNCT
awl-420	119	13	online	online	ADJ
awl-420	119	14	and	and	CCONJ
awl-420	119	15	paper	paper	NOUN
awl-420	119	16	.	.	PUNCT
awl-420	120	1	the	the	DET
awl-420	120	2	united	united	PROPN
awl-420	120	3	states	states	PROPN
awl-420	120	4	census	census	PROPN
awl-420	120	5	bureau	bureau	PROPN
awl-420	120	6	seeks	seek	VERB
awl-420	120	7	to	to	PART
awl-420	120	8	obtain	obtain	VERB
awl-420	120	9	a	a	DET
awl-420	120	10	significant	significant	ADJ
awl-420	120	11	majority	majority	NOUN
awl-420	120	12	of	of	ADP
awl-420	120	13	data	datum	NOUN
awl-420	120	14	collected	collect	VERB
awl-420	120	15	through	through	ADP
awl-420	120	16	the	the	DET
awl-420	120	17	website	website	NOUN
awl-420	120	18	,	,	PUNCT
awl-420	120	19	online	online	ADJ
awl-420	120	20	survey	survey	NOUN
awl-420	120	21	,	,	PUNCT
awl-420	120	22	and	and	CCONJ
awl-420	120	23	a	a	DET
awl-420	120	24	mail	mail	NOUN
awl-420	120	25	-	-	PUNCT
awl-420	120	26	in	in	ADP
awl-420	120	27	option	option	NOUN
awl-420	120	28	.	.	PUNCT
awl-420	121	1	the	the	DET
awl-420	121	2	u.s	u.s	PROPN
awl-420	121	3	.	.	PROPN
awl-420	121	4	census	census	PROPN
awl-420	121	5	bureau	bureau	PROPN
awl-420	121	6	results	result	NOUN
awl-420	121	7	are	be	AUX
awl-420	121	8	required	require	VERB
awl-420	121	9	under	under	ADP
awl-420	121	10	law	law	NOUN
awl-420	121	11	13	13	NUM
awl-420	121	12	,	,	PUNCT
awl-420	121	13	u.s	u.s	PROPN
awl-420	121	14	.	.	PROPN
awl-420	121	15	code	code	PROPN
awl-420	121	16	,	,	PUNCT
awl-420	121	17	sections	section	NOUN
awl-420	121	18	141	141	NUM
awl-420	121	19	,	,	PUNCT
awl-420	121	20	193	193	NUM
awl-420	121	21	,	,	PUNCT
awl-420	121	22	221	221	NUM
awl-420	121	23	,	,	PUNCT
awl-420	121	24	and	and	CCONJ
awl-420	121	25	inform	inform	VERB
awl-420	121	26	how	how	SCONJ
awl-420	121	27	675	675	NUM
awl-420	121	28	billion	billion	NUM
awl-420	121	29	dollars	dollar	NOUN
awl-420	121	30	of	of	ADP
awl-420	121	31	federal	federal	ADJ
awl-420	121	32	dollars	dollar	NOUN
awl-420	121	33	are	be	AUX
awl-420	121	34	dispersed	disperse	VERB
awl-420	121	35	across	across	ADP
awl-420	121	36	the	the	DET
awl-420	121	37	country	country	NOUN
awl-420	121	38	.	.	PUNCT
awl-420	122	1	the	the	DET
awl-420	122	2	distribution	distribution	NOUN
awl-420	122	3	of	of	ADP
awl-420	122	4	675	675	NUM
awl-420	122	5	billion	billion	NUM
awl-420	122	6	dollars	dollar	NOUN
awl-420	122	7	is	be	AUX
awl-420	122	8	29	29	NUM
awl-420	122	9	percent	percent	NOUN
awl-420	122	10	of	of	ADP
awl-420	122	11	all	all	DET
awl-420	122	12	united	united	PROPN
awl-420	122	13	states	states	PROPN
awl-420	122	14	federal	federal	ADJ
awl-420	122	15	assistance	assistance	NOUN
awl-420	122	16	.	.	PUNCT
awl-420	123	1	data	datum	NOUN
awl-420	123	2	analysis	analysis	NOUN
awl-420	123	3	two	two	NUM
awl-420	123	4	one	one	NUM
awl-420	123	5	-	-	PUNCT
awl-420	123	6	way	way	NOUN
awl-420	123	7	anova	anova	PROPN
awl-420	123	8	analyses	analysis	NOUN
awl-420	123	9	were	be	AUX
awl-420	123	10	used	use	VERB
awl-420	123	11	to	to	PART
awl-420	123	12	compare	compare	VERB
awl-420	123	13	gender	gender	NOUN
awl-420	123	14	pay	pay	NOUN
awl-420	123	15	equity	equity	NOUN
awl-420	123	16	across	across	ADP
awl-420	123	17	states	state	NOUN
awl-420	123	18	and	and	CCONJ
awl-420	123	19	industries	industry	NOUN
awl-420	123	20	.	.	PUNCT
awl-420	124	1	ibm	ibm	PROPN
awl-420	124	2	spss	spss	PROPN
awl-420	124	3	statistics	statistics	PROPN
awl-420	124	4	software	software	NOUN
awl-420	124	5	was	be	AUX
awl-420	124	6	used	use	VERB
awl-420	124	7	for	for	ADP
awl-420	124	8	the	the	DET
awl-420	124	9	entire	entire	ADJ
awl-420	124	10	analysis	analysis	NOUN
awl-420	124	11	.	.	PUNCT
awl-420	125	1	previous	previous	ADJ
awl-420	125	2	researchers	researcher	NOUN
awl-420	125	3	have	have	AUX
awl-420	125	4	analyzed	analyze	VERB
awl-420	125	5	incomplete	incomplete	ADJ
awl-420	125	6	data	datum	NOUN
awl-420	125	7	that	that	PRON
awl-420	125	8	did	do	AUX
awl-420	125	9	not	not	PART
awl-420	125	10	consist	consist	VERB
awl-420	125	11	of	of	ADP
awl-420	125	12	national	national	ADJ
awl-420	125	13	data	datum	NOUN
awl-420	125	14	broken	break	VERB
awl-420	125	15	down	down	ADP
awl-420	125	16	by	by	ADP
awl-420	125	17	state	state	NOUN
awl-420	125	18	,	,	PUNCT
awl-420	125	19	requiring	require	VERB
awl-420	125	20	a	a	DET
awl-420	125	21	larger	large	ADJ
awl-420	125	22	,	,	PUNCT
awl-420	125	23	more	more	ADV
awl-420	125	24	diverse	diverse	ADJ
awl-420	125	25	107	107	NUM
awl-420	125	26	advancing	advance	VERB
awl-420	125	27	women	woman	NOUN
awl-420	125	28	in	in	ADP
awl-420	125	29	leadership	leadership	NOUN
awl-420	125	30	journal	journal	NOUN
awl-420	125	31	-	-	PUNCT
awl-420	125	32	volume	volume	NOUN
awl-420	125	33	41	41	NUM
awl-420	125	34	sample	sample	NOUN
awl-420	125	35	size	size	NOUN
awl-420	125	36	(	(	PUNCT
awl-420	125	37	blau	blau	PROPN
awl-420	125	38	&	&	CCONJ
awl-420	125	39	kahn	kahn	PROPN
awl-420	125	40	,	,	PUNCT
awl-420	125	41	2017	2017	NUM
awl-420	125	42	;	;	PUNCT
awl-420	125	43	cortés	cortés	NOUN
awl-420	125	44	&	&	CCONJ
awl-420	125	45	pan	pan	PROPN
awl-420	125	46	,	,	PUNCT
awl-420	125	47	2019	2019	NUM
awl-420	125	48	;	;	PUNCT
awl-420	125	49	goldin	goldin	VERB
awl-420	125	50	,	,	PUNCT
awl-420	125	51	2017	2017	NUM
awl-420	125	52	;	;	PUNCT
awl-420	125	53	obloj	obloj	NOUN
awl-420	125	54	&	&	CCONJ
awl-420	125	55	zenger	zenger	PROPN
awl-420	125	56	,	,	PUNCT
awl-420	125	57	2020	2020	NUM
awl-420	125	58	)	)	PUNCT
awl-420	125	59	.	.	PUNCT
awl-420	126	1	the	the	DET
awl-420	126	2	minimum	minimum	ADJ
awl-420	126	3	sample	sample	NOUN
awl-420	126	4	size	size	NOUN
awl-420	126	5	for	for	ADP
awl-420	126	6	this	this	DET
awl-420	126	7	quantitative	quantitative	ADJ
awl-420	126	8	,	,	PUNCT
awl-420	126	9	nonexperimental	nonexperimental	ADJ
awl-420	126	10	,	,	PUNCT
awl-420	126	11	comparative	comparative	ADJ
awl-420	126	12	research	research	NOUN
awl-420	126	13	was	be	AUX
awl-420	126	14	estimated	estimate	VERB
awl-420	126	15	in	in	ADP
awl-420	126	16	g*power	g*power	PROPN
awl-420	126	17	3.1.9.7	3.1.9.7	NUM
awl-420	126	18	.	.	PUNCT
awl-420	127	1	for	for	ADP
awl-420	127	2	two	two	NUM
awl-420	127	3	one	one	NUM
awl-420	127	4	-	-	PUNCT
awl-420	127	5	way	way	NOUN
awl-420	127	6	anovas	anovas	NOUN
awl-420	127	7	(	(	PUNCT
awl-420	127	8	fixed	fix	VERB
awl-420	127	9	effects	effect	NOUN
awl-420	127	10	,	,	PUNCT
awl-420	127	11	omnibus	omnibus	NOUN
awl-420	127	12	,	,	PUNCT
awl-420	127	13	one	one	NUM
awl-420	127	14	-	-	PUNCT
awl-420	127	15	way	way	NOUN
awl-420	127	16	)	)	PUNCT
awl-420	127	17	with	with	ADP
awl-420	127	18	the	the	DET
awl-420	127	19	same	same	ADJ
awl-420	127	20	dependent	dependent	ADJ
awl-420	127	21	variable	variable	NOUN
awl-420	127	22	and	and	CCONJ
awl-420	127	23	distinct	distinct	ADJ
awl-420	127	24	,	,	PUNCT
awl-420	127	25	independent	independent	ADJ
awl-420	127	26	variables	variable	NOUN
awl-420	127	27	.	.	PUNCT
awl-420	128	1	the	the	DET
awl-420	128	2	input	input	NOUN
awl-420	128	3	included	include	VERB
awl-420	128	4	an	an	DET
awl-420	128	5	expected	expect	VERB
awl-420	128	6	medium	medium	ADJ
awl-420	128	7	effect	effect	NOUN
awl-420	128	8	size	size	NOUN
awl-420	128	9	(	(	PUNCT
awl-420	128	10	f	f	NOUN
awl-420	128	11	=	=	SYM
awl-420	128	12	.25	.25	NUM
awl-420	128	13	)	)	PUNCT
awl-420	128	14	,	,	PUNCT
awl-420	128	15	corrected	correct	VERB
awl-420	128	16	alpha	alpha	NOUN
awl-420	128	17	(	(	PUNCT
awl-420	128	18	.025	.025	NUM
awl-420	128	19	)	)	PUNCT
awl-420	128	20	,	,	PUNCT
awl-420	128	21	minimum	minimum	NOUN
awl-420	128	22	power	power	NOUN
awl-420	128	23	.95	.95	NUM
awl-420	128	24	(	(	PUNCT
awl-420	128	25	meaning	mean	VERB
awl-420	128	26	5	5	NUM
awl-420	128	27	%	%	NOUN
awl-420	128	28	risk	risk	NOUN
awl-420	128	29	of	of	ADP
awl-420	128	30	type	type	NOUN
awl-420	128	31	ii	ii	NOUN
awl-420	128	32	error	error	NOUN
awl-420	128	33	)	)	PUNCT
awl-420	128	34	,	,	PUNCT
awl-420	128	35	and	and	CCONJ
awl-420	128	36	the	the	DET
awl-420	128	37	maximum	maximum	ADJ
awl-420	128	38	number	number	NOUN
awl-420	128	39	of	of	ADP
awl-420	128	40	compared	compare	VERB
awl-420	128	41	groups	group	NOUN
awl-420	128	42	(	(	PUNCT
awl-420	128	43	51	51	NUM
awl-420	128	44	)	)	PUNCT
awl-420	128	45	.	.	PUNCT
awl-420	129	1	the	the	DET
awl-420	129	2	estimated	estimate	VERB
awl-420	129	3	minimum	minimum	NOUN
awl-420	129	4	sample	sample	NOUN
awl-420	129	5	was	be	AUX
awl-420	129	6	816	816	NUM
awl-420	129	7	cases	case	NOUN
awl-420	129	8	(	(	PUNCT
awl-420	129	9	gender	gender	NOUN
awl-420	129	10	pay	pay	NOUN
awl-420	129	11	ratio	ratio	NOUN
awl-420	129	12	between	between	ADP
awl-420	129	13	men	man	NOUN
awl-420	129	14	and	and	CCONJ
awl-420	129	15	women	woman	NOUN
awl-420	129	16	)	)	PUNCT
awl-420	129	17	,	,	PUNCT
awl-420	129	18	with	with	ADP
awl-420	129	19	complete	complete	ADJ
awl-420	129	20	data	datum	NOUN
awl-420	129	21	for	for	ADP
awl-420	129	22	each	each	DET
awl-420	129	23	research	research	NOUN
awl-420	129	24	question	question	NOUN
awl-420	129	25	(	(	PUNCT
awl-420	129	26	see	see	VERB
awl-420	129	27	appendix	appendix	NOUN
awl-420	129	28	f	f	NOUN
awl-420	129	29	)	)	PUNCT
awl-420	129	30	.	.	PUNCT
awl-420	130	1	the	the	DET
awl-420	130	2	researcher	researcher	NOUN
awl-420	130	3	added	add	VERB
awl-420	130	4	that	that	SCONJ
awl-420	130	5	15	15	NUM
awl-420	130	6	%	%	NOUN
awl-420	130	7	(	(	PUNCT
awl-420	130	8	123	123	NUM
awl-420	130	9	cases	case	NOUN
awl-420	130	10	)	)	PUNCT
awl-420	130	11	discard	discard	ADJ
awl-420	130	12	outliers	outlier	NOUN
awl-420	130	13	or	or	CCONJ
awl-420	130	14	use	use	VERB
awl-420	130	15	nonparametric	nonparametric	NOUN
awl-420	130	16	tests	test	NOUN
awl-420	130	17	for	for	ADP
awl-420	130	18	the	the	DET
awl-420	130	19	preferred	preferred	ADJ
awl-420	130	20	parametric	parametric	ADJ
awl-420	130	21	analysis	analysis	NOUN
awl-420	130	22	in	in	ADP
awl-420	130	23	case	case	NOUN
awl-420	130	24	of	of	ADP
awl-420	130	25	unresolved	unresolved	ADJ
awl-420	130	26	assumption	assumption	NOUN
awl-420	130	27	violations	violation	NOUN
awl-420	130	28	.	.	PUNCT
awl-420	131	1	this	this	PRON
awl-420	131	2	raised	raise	VERB
awl-420	131	3	the	the	DET
awl-420	131	4	minimum	minimum	ADJ
awl-420	131	5	sample	sample	NOUN
awl-420	131	6	size	size	NOUN
awl-420	131	7	to	to	ADP
awl-420	131	8	939	939	NUM
awl-420	131	9	cases	case	NOUN
awl-420	131	10	.	.	PUNCT
awl-420	132	1	the	the	DET
awl-420	132	2	final	final	ADJ
awl-420	132	3	sample	sample	NOUN
awl-420	132	4	included	include	VERB
awl-420	132	5	1,834	1,834	NUM
awl-420	132	6	cases	case	NOUN
awl-420	132	7	(	(	PUNCT
awl-420	132	8	gender	gender	NOUN
awl-420	132	9	pay	pay	NOUN
awl-420	132	10	ratio	ratio	NOUN
awl-420	132	11	between	between	ADP
awl-420	132	12	men	man	NOUN
awl-420	132	13	and	and	CCONJ
awl-420	132	14	women	woman	NOUN
awl-420	132	15	)	)	PUNCT
awl-420	132	16	and	and	CCONJ
awl-420	132	17	exceeded	exceed	VERB
awl-420	132	18	the	the	DET
awl-420	132	19	minimum	minimum	ADJ
awl-420	132	20	sample	sample	NOUN
awl-420	132	21	size	size	NOUN
awl-420	132	22	for	for	ADP
awl-420	132	23	both	both	DET
awl-420	132	24	research	research	NOUN
awl-420	132	25	questions	question	NOUN
awl-420	132	26	.	.	PUNCT
awl-420	133	1	ibm	ibm	PROPN
awl-420	133	2	spss	spss	PROPN
awl-420	133	3	25	25	NUM
awl-420	133	4	premium	premium	NOUN
awl-420	133	5	statistics	statistic	NOUN
awl-420	133	6	were	be	AUX
awl-420	133	7	performed	perform	VERB
awl-420	133	8	with	with	ADP
awl-420	133	9	a	a	DET
awl-420	133	10	multistep	multistep	ADJ
awl-420	133	11	process	process	NOUN
awl-420	133	12	.	.	PUNCT
awl-420	134	1	1	1	X
awl-420	134	2	.	.	X
awl-420	134	3	state	state	NOUN
awl-420	134	4	data	datum	NOUN
awl-420	134	5	were	be	AUX
awl-420	134	6	downloaded	download	VERB
awl-420	134	7	from	from	ADP
awl-420	134	8	the	the	DET
awl-420	134	9	united	united	PROPN
awl-420	134	10	states	states	PROPN
awl-420	134	11	census	census	PROPN
awl-420	134	12	and	and	CCONJ
awl-420	134	13	american	american	ADJ
awl-420	134	14	community	community	NOUN
awl-420	134	15	survey	survey	NOUN
awl-420	134	16	databases	database	NOUN
awl-420	134	17	in	in	ADP
awl-420	134	18	a	a	DET
awl-420	134	19	csv	csv	NOUN
awl-420	134	20	format	format	NOUN
awl-420	134	21	that	that	PRON
awl-420	134	22	is	be	AUX
awl-420	134	23	importable	importable	ADJ
awl-420	134	24	to	to	ADP
awl-420	134	25	ibm	ibm	PROPN
awl-420	134	26	spss	spss	PROPN
awl-420	134	27	premium	premium	PROPN
awl-420	134	28	statistics	statistics	PROPN
awl-420	134	29	software	software	NOUN
awl-420	134	30	.	.	PUNCT
awl-420	135	1	2	2	X
awl-420	135	2	.	.	X
awl-420	135	3	each	each	DET
awl-420	135	4	state	state	NOUN
awl-420	135	5	,	,	PUNCT
awl-420	135	6	the	the	DET
awl-420	135	7	district	district	NOUN
awl-420	135	8	of	of	ADP
awl-420	135	9	columbia	columbia	PROPN
awl-420	135	10	,	,	PUNCT
awl-420	135	11	and	and	CCONJ
awl-420	135	12	industry	industry	NOUN
awl-420	135	13	was	be	AUX
awl-420	135	14	assigned	assign	VERB
awl-420	135	15	a	a	DET
awl-420	135	16	number	number	NOUN
awl-420	135	17	representing	represent	VERB
awl-420	135	18	analysis	analysis	NOUN
awl-420	135	19	for	for	ADP
awl-420	135	20	spss	spss	PROPN
awl-420	135	21	.	.	PUNCT
awl-420	136	1	3	3	X
awl-420	136	2	.	.	X
awl-420	136	3	a	a	DET
awl-420	136	4	state	state	NOUN
awl-420	136	5	and	and	CCONJ
awl-420	136	6	the	the	DET
awl-420	136	7	district	district	NOUN
awl-420	136	8	of	of	ADP
awl-420	136	9	columbia	columbia	PROPN
awl-420	136	10	data	data	PROPN
awl-420	136	11	point	point	NOUN
awl-420	136	12	included	include	VERB
awl-420	136	13	36	36	NUM
awl-420	136	14	individual	individual	ADJ
awl-420	136	15	industries	industry	NOUN
awl-420	136	16	within	within	ADP
awl-420	136	17	each	each	DET
awl-420	136	18	state	state	NOUN
awl-420	136	19	and	and	CCONJ
awl-420	136	20	the	the	DET
awl-420	136	21	district	district	NOUN
awl-420	136	22	of	of	ADP
awl-420	136	23	columbia	columbia	PROPN
awl-420	136	24	.	.	PUNCT
awl-420	137	1	4	4	X
awl-420	137	2	.	.	X
awl-420	137	3	state	state	NOUN
awl-420	137	4	and	and	CCONJ
awl-420	137	5	the	the	DET
awl-420	137	6	district	district	NOUN
awl-420	137	7	of	of	ADP
awl-420	137	8	columbia	columbia	PROPN
awl-420	137	9	data	datum	NOUN
awl-420	137	10	were	be	AUX
awl-420	137	11	calculated	calculate	VERB
awl-420	137	12	to	to	PART
awl-420	137	13	represent	represent	VERB
awl-420	137	14	a	a	DET
awl-420	137	15	total	total	ADJ
awl-420	137	16	dataset	dataset	NOUN
awl-420	137	17	of	of	ADP
awl-420	137	18	1,834	1,834	NUM
awl-420	137	19	data	datum	NOUN
awl-420	137	20	points	point	NOUN
awl-420	137	21	for	for	ADP
awl-420	137	22	analyses	analysis	NOUN
awl-420	137	23	(	(	PUNCT
awl-420	137	24	51	51	NUM
awl-420	137	25	states	state	NOUN
awl-420	137	26	,	,	PUNCT
awl-420	137	27	including	include	VERB
awl-420	137	28	d.c	d.c	PROPN
awl-420	137	29	.	.	PUNCT
awl-420	137	30	)	)	PUNCT
awl-420	138	1	and	and	CCONJ
awl-420	138	2	the	the	DET
awl-420	138	3	36	36	NUM
awl-420	138	4	subindustries	subindustrie	NOUN
awl-420	138	5	within	within	ADP
awl-420	138	6	each	each	DET
awl-420	138	7	state	state	NOUN
awl-420	138	8	)	)	PUNCT
awl-420	138	9	.	.	PUNCT
awl-420	139	1	5	5	X
awl-420	139	2	.	.	X
awl-420	139	3	a	a	DET
awl-420	139	4	csv	csv	NOUN
awl-420	139	5	file	file	NOUN
awl-420	139	6	was	be	AUX
awl-420	139	7	organized	organize	VERB
awl-420	139	8	to	to	PART
awl-420	139	9	represent	represent	VERB
awl-420	139	10	the	the	DET
awl-420	139	11	gender	gender	NOUN
awl-420	139	12	pay	pay	NOUN
awl-420	139	13	equity	equity	NOUN
awl-420	139	14	for	for	ADP
awl-420	139	15	1,834	1,834	NUM
awl-420	139	16	data	datum	NOUN
awl-420	139	17	points	point	NOUN
awl-420	139	18	for	for	ADP
awl-420	139	19	analyses	analysis	NOUN
awl-420	139	20	(	(	PUNCT
awl-420	139	21	51	51	NUM
awl-420	139	22	states	state	NOUN
awl-420	139	23	,	,	PUNCT
awl-420	139	24	including	include	VERB
awl-420	139	25	d.c	d.c	PROPN
awl-420	139	26	.	.	PUNCT
awl-420	139	27	)	)	PUNCT
awl-420	140	1	and	and	CCONJ
awl-420	140	2	the	the	DET
awl-420	140	3	36	36	NUM
awl-420	140	4	subindustries	subindustrie	NOUN
awl-420	140	5	within	within	ADP
awl-420	140	6	each	each	DET
awl-420	140	7	state	state	NOUN
awl-420	140	8	)	)	PUNCT
awl-420	140	9	.	.	PUNCT
awl-420	141	1	6	6	X
awl-420	141	2	.	.	X
awl-420	141	3	the	the	DET
awl-420	141	4	five	five	NUM
awl-420	141	5	major	major	ADJ
awl-420	141	6	industries	industry	NOUN
awl-420	141	7	are	be	AUX
awl-420	141	8	defined	define	VERB
awl-420	141	9	from	from	ADP
awl-420	141	10	the	the	DET
awl-420	141	11	original	original	ADJ
awl-420	141	12	36	36	NUM
awl-420	141	13	subindustries	subindustrie	NOUN
awl-420	141	14	.	.	PUNCT
awl-420	142	1	archival	archival	NOUN
awl-420	142	2	data	datum	NOUN
awl-420	142	3	provide	provide	VERB
awl-420	142	4	significant	significant	ADJ
awl-420	142	5	industry	industry	NOUN
awl-420	142	6	data	datum	NOUN
awl-420	142	7	points	point	NOUN
awl-420	142	8	.	.	PUNCT
awl-420	143	1	7	7	X
awl-420	143	2	.	.	X
awl-420	143	3	the	the	DET
awl-420	143	4	csv	csv	NOUN
awl-420	143	5	file	file	NOUN
awl-420	143	6	was	be	AUX
awl-420	143	7	imported	import	VERB
awl-420	143	8	into	into	ADP
awl-420	143	9	ibm	ibm	PROPN
awl-420	143	10	spss	spss	PROPN
awl-420	143	11	25	25	NUM
awl-420	143	12	premium	premium	PROPN
awl-420	143	13	statistics	statistic	NOUN
awl-420	143	14	software	software	NOUN
awl-420	143	15	.	.	PUNCT
awl-420	144	1	8	8	X
awl-420	144	2	.	.	PUNCT
awl-420	145	1	the	the	DET
awl-420	145	2	analysis	analysis	NOUN
awl-420	145	3	process	process	NOUN
awl-420	145	4	compared	compare	VERB
awl-420	145	5	the	the	DET
awl-420	145	6	means	mean	NOUN
awl-420	145	7	through	through	ADP
awl-420	145	8	the	the	DET
awl-420	145	9	gender	gender	NOUN
awl-420	145	10	pay	pay	NOUN
awl-420	145	11	equity	equity	NOUN
awl-420	145	12	rate	rate	NOUN
awl-420	145	13	test	test	NOUN
awl-420	145	14	variable	variable	NOUN
awl-420	145	15	of	of	ADP
awl-420	145	16	the	the	DET
awl-420	145	17	1,834	1,834	NUM
awl-420	145	18	data	datum	NOUN
awl-420	145	19	points	point	NOUN
awl-420	145	20	.	.	PUNCT
awl-420	146	1	9	9	X
awl-420	146	2	.	.	X
awl-420	146	3	with	with	ADP
awl-420	146	4	the	the	DET
awl-420	146	5	collection	collection	NOUN
awl-420	146	6	of	of	ADP
awl-420	146	7	state	state	NOUN
awl-420	146	8	data	datum	NOUN
awl-420	146	9	into	into	ADP
awl-420	146	10	ibm	ibm	PROPN
awl-420	146	11	spss	spss	PROPN
awl-420	146	12	format	format	NOUN
awl-420	146	13	,	,	PUNCT
awl-420	146	14	a	a	DET
awl-420	146	15	csv	csv	NOUN
awl-420	146	16	file	file	NOUN
awl-420	146	17	was	be	AUX
awl-420	146	18	imported	import	VERB
awl-420	146	19	into	into	ADP
awl-420	146	20	ibm	ibm	PROPN
awl-420	146	21	spss	spss	PROPN
awl-420	146	22	25	25	NUM
awl-420	146	23	premium	premium	PROPN
awl-420	146	24	statistics	statistic	NOUN
awl-420	146	25	software	software	NOUN
awl-420	146	26	.	.	PUNCT
awl-420	147	1	10	10	NUM
awl-420	147	2	.	.	PUNCT
awl-420	148	1	the	the	DET
awl-420	148	2	six	six	NUM
awl-420	148	3	assumptions	assumption	NOUN
awl-420	148	4	for	for	ADP
awl-420	148	5	one	one	NUM
awl-420	148	6	-	-	PUNCT
awl-420	148	7	way	way	NOUN
awl-420	148	8	anova	anova	PROPN
awl-420	148	9	were	be	AUX
awl-420	148	10	tested	test	VERB
awl-420	148	11	using	use	VERB
awl-420	148	12	the	the	DET
awl-420	148	13	shapiro	shapiro	PROPN
awl-420	148	14	-	-	PUNCT
awl-420	148	15	wilk	wilk	NOUN
awl-420	148	16	test	test	NOUN
awl-420	148	17	,	,	PUNCT
awl-420	148	18	levene	levene	NOUN
awl-420	148	19	's	's	PART
awl-420	148	20	test	test	NOUN
awl-420	148	21	,	,	PUNCT
awl-420	148	22	and	and	CCONJ
awl-420	148	23	kolmogorovsmirnov	kolmogorovsmirnov	VERB
awl-420	148	24	test	test	NOUN
awl-420	148	25	.	.	PUNCT
awl-420	149	1	11	11	NUM
awl-420	149	2	.	.	PUNCT
awl-420	150	1	if	if	SCONJ
awl-420	150	2	the	the	DET
awl-420	150	3	sample	sample	NOUN
awl-420	150	4	failed	fail	VERB
awl-420	150	5	assumptions	assumption	NOUN
awl-420	150	6	,	,	PUNCT
awl-420	150	7	then	then	ADV
awl-420	150	8	a	a	DET
awl-420	150	9	nonparametric	nonparametric	NOUN
awl-420	150	10	test	test	NOUN
awl-420	150	11	had	have	VERB
awl-420	150	12	to	to	PART
awl-420	150	13	be	be	AUX
awl-420	150	14	performed	perform	VERB
awl-420	150	15	for	for	ADP
awl-420	150	16	both	both	DET
awl-420	150	17	sets	set	NOUN
awl-420	150	18	of	of	ADP
awl-420	150	19	independent	independent	ADJ
awl-420	150	20	groups	group	NOUN
awl-420	150	21	.	.	PUNCT
awl-420	151	1	12	12	NUM
awl-420	151	2	.	.	PUNCT
awl-420	152	1	ibm	ibm	PROPN
awl-420	152	2	spss	spss	PROPN
awl-420	152	3	univariate	univariate	ADJ
awl-420	152	4	options	option	NOUN
awl-420	152	5	were	be	AUX
awl-420	152	6	set	set	VERB
awl-420	152	7	to	to	PART
awl-420	152	8	descriptive	descriptive	ADJ
awl-420	152	9	statistics	statistic	NOUN
awl-420	152	10	and	and	CCONJ
awl-420	152	11	homogeneity	homogeneity	NOUN
awl-420	152	12	of	of	ADP
awl-420	152	13	variance	variance	NOUN
awl-420	152	14	test	test	NOUN
awl-420	152	15	.	.	PUNCT
awl-420	153	1	13	13	NUM
awl-420	153	2	.	.	PUNCT
awl-420	154	1	the	the	DET
awl-420	154	2	level	level	NOUN
awl-420	154	3	of	of	ADP
awl-420	154	4	statistical	statistical	ADJ
awl-420	154	5	significance	significance	NOUN
awl-420	154	6	was	be	AUX
awl-420	154	7	corrected	correct	VERB
awl-420	154	8	to	to	ADP
awl-420	154	9	.025	.025	NUM
awl-420	154	10	to	to	PART
awl-420	154	11	mitigate	mitigate	VERB
awl-420	154	12	inflation	inflation	NOUN
awl-420	154	13	of	of	ADP
awl-420	154	14	type	type	NOUN
awl-420	154	15	i	i	PRON
awl-420	154	16	error	error	NOUN
awl-420	154	17	(	(	PUNCT
awl-420	154	18	bonferroni	bonferroni	NOUN
awl-420	154	19	,	,	PUNCT
awl-420	154	20	1936	1936	NUM
awl-420	154	21	)	)	PUNCT
awl-420	154	22	.	.	PUNCT
awl-420	155	1	14	14	NUM
awl-420	155	2	.	.	PUNCT
awl-420	156	1	the	the	DET
awl-420	156	2	one	one	NUM
awl-420	156	3	-	-	PUNCT
awl-420	156	4	way	way	NOUN
awl-420	156	5	anova	anova	PROPN
awl-420	156	6	analysis	analysis	NOUN
awl-420	156	7	process	process	NOUN
awl-420	156	8	sought	seek	VERB
awl-420	156	9	to	to	PART
awl-420	156	10	assess	assess	VERB
awl-420	156	11	data	datum	NOUN
awl-420	156	12	interaction	interaction	NOUN
awl-420	156	13	utilizing	utilize	VERB
awl-420	156	14	a	a	DET
awl-420	156	15	general	general	ADJ
awl-420	156	16	linear	linear	NOUN
awl-420	156	17	model	model	NOUN
awl-420	156	18	and	and	CCONJ
awl-420	156	19	univariate	univariate	ADJ
awl-420	156	20	analysis	analysis	NOUN
awl-420	156	21	.	.	PUNCT
awl-420	157	1	15	15	NUM
awl-420	157	2	.	.	PUNCT
awl-420	158	1	the	the	DET
awl-420	158	2	univariate	univariate	ADJ
awl-420	158	3	analysis	analysis	NOUN
awl-420	158	4	variables	variable	NOUN
awl-420	158	5	defined	define	VERB
awl-420	158	6	a	a	DET
awl-420	158	7	dependent	dependent	ADJ
awl-420	158	8	variable	variable	NOUN
awl-420	158	9	of	of	ADP
awl-420	158	10	rate	rate	NOUN
awl-420	158	11	(	(	PUNCT
awl-420	158	12	gender	gender	NOUN
awl-420	158	13	pay	pay	NOUN
awl-420	158	14	equity	equity	NOUN
awl-420	158	15	)	)	PUNCT
awl-420	158	16	,	,	PUNCT
awl-420	158	17	state	state	NOUN
awl-420	158	18	,	,	PUNCT
awl-420	158	19	and	and	CCONJ
awl-420	158	20	industry	industry	NOUN
awl-420	158	21	factors	factor	NOUN
awl-420	158	22	.	.	PUNCT
awl-420	159	1	16	16	NUM
awl-420	159	2	.	.	PUNCT
awl-420	160	1	ibm	ibm	PROPN
awl-420	160	2	spss	spss	PROPN
awl-420	160	3	was	be	AUX
awl-420	160	4	used	use	VERB
awl-420	160	5	to	to	PART
awl-420	160	6	analyze	analyze	VERB
awl-420	160	7	the	the	DET
awl-420	160	8	data	datum	NOUN
awl-420	160	9	results	result	NOUN
awl-420	160	10	in	in	ADP
awl-420	160	11	this	this	DET
awl-420	160	12	nonexperimental	nonexperimental	ADJ
awl-420	160	13	comparative	comparative	ADJ
awl-420	160	14	study	study	NOUN
awl-420	160	15	,	,	PUNCT
awl-420	160	16	the	the	DET
awl-420	160	17	researcher	researcher	NOUN
awl-420	160	18	compared	compare	VERB
awl-420	160	19	data	datum	NOUN
awl-420	160	20	collected	collect	VERB
awl-420	160	21	from	from	ADP
awl-420	160	22	the	the	DET
awl-420	160	23	united	united	PROPN
awl-420	160	24	states	states	PROPN
awl-420	160	25	census	census	PROPN
awl-420	160	26	and	and	CCONJ
awl-420	160	27	american	american	ADJ
awl-420	160	28	community	community	NOUN
awl-420	160	29	survey	survey	NOUN
awl-420	160	30	,	,	PUNCT
awl-420	160	31	2017	2017	NUM
awl-420	160	32	.	.	PUNCT
awl-420	161	1	the	the	DET
awl-420	161	2	dataset	dataset	NOUN
awl-420	161	3	enabled	enable	VERB
awl-420	161	4	the	the	DET
awl-420	161	5	researcher	researcher	NOUN
awl-420	161	6	to	to	PART
awl-420	161	7	examine	examine	VERB
awl-420	161	8	a	a	DET
awl-420	161	9	nationwide	nationwide	ADJ
awl-420	161	10	sample	sample	NOUN
awl-420	161	11	.	.	PUNCT
awl-420	162	1	the	the	DET
awl-420	162	2	nonexperimental	nonexperimental	ADJ
awl-420	162	3	comparative	comparative	ADJ
awl-420	162	4	method	method	NOUN
awl-420	162	5	provided	provide	VERB
awl-420	162	6	the	the	DET
awl-420	162	7	research	research	NOUN
awl-420	162	8	framework	framework	NOUN
awl-420	162	9	to	to	PART
awl-420	162	10	compare	compare	VERB
awl-420	162	11	gender	gender	NOUN
awl-420	162	12	pay	pay	NOUN
awl-420	162	13	equity	equity	NOUN
awl-420	162	14	between	between	ADP
awl-420	162	15	men	man	NOUN
awl-420	162	16	and	and	CCONJ
awl-420	162	17	women	woman	NOUN
awl-420	162	18	of	of	ADP
awl-420	162	19	all	all	DET
awl-420	162	20	50	50	NUM
awl-420	162	21	states	state	NOUN
awl-420	162	22	,	,	PUNCT
awl-420	162	23	the	the	DET
awl-420	162	24	district	district	NOUN
awl-420	162	25	of	of	ADP
awl-420	162	26	columbia	columbia	PROPN
awl-420	162	27	,	,	PUNCT
awl-420	162	28	and	and	CCONJ
awl-420	162	29	five	five	NUM
awl-420	162	30	significate	significate	ADJ
awl-420	162	31	industries	industry	NOUN
awl-420	162	32	(	(	PUNCT
awl-420	162	33	36	36	NUM
awl-420	162	34	subindustries	subindustrie	NOUN
awl-420	162	35	)	)	PUNCT
awl-420	162	36	.	.	PUNCT
awl-420	163	1	the	the	DET
awl-420	163	2	dependent	dependent	ADJ
awl-420	163	3	variable	variable	NOUN
awl-420	163	4	was	be	AUX
awl-420	163	5	gender	gender	NOUN
awl-420	163	6	pay	pay	NOUN
awl-420	163	7	equity	equity	NOUN
awl-420	163	8	.	.	PUNCT
awl-420	164	1	this	this	DET
awl-420	164	2	variable	variable	NOUN
awl-420	164	3	was	be	AUX
awl-420	164	4	operationalized	operationalize	VERB
awl-420	164	5	as	as	ADP
awl-420	164	6	the	the	DET
awl-420	164	7	proportion	proportion	NOUN
awl-420	164	8	of	of	ADP
awl-420	164	9	women	woman	NOUN
awl-420	164	10	's	's	PART
awl-420	164	11	pay	pay	NOUN
awl-420	164	12	relative	relative	ADJ
awl-420	164	13	to	to	ADP
awl-420	164	14	men	man	NOUN
awl-420	164	15	's	's	PART
awl-420	164	16	pay	pay	NOUN
awl-420	164	17	at	at	ADP
awl-420	164	18	the	the	DET
awl-420	164	19	subindustry	subindustry	NOUN
awl-420	164	20	level	level	NOUN
awl-420	164	21	by	by	ADP
awl-420	164	22	state	state	NOUN
awl-420	164	23	.	.	PUNCT
awl-420	165	1	in	in	ADP
awl-420	165	2	addition	addition	NOUN
awl-420	165	3	,	,	PUNCT
awl-420	165	4	the	the	DET
awl-420	165	5	sample	sample	NOUN
awl-420	165	6	of	of	ADP
awl-420	165	7	data	datum	NOUN
awl-420	165	8	is	be	AUX
awl-420	165	9	per	per	ADP
awl-420	165	10	individual	individual	ADJ
awl-420	165	11	state	state	NOUN
awl-420	165	12	data	datum	NOUN
awl-420	165	13	in	in	ADP
awl-420	165	14	the	the	DET
awl-420	165	15	united	united	PROPN
awl-420	165	16	states	states	PROPN
awl-420	165	17	.	.	PUNCT
awl-420	166	1	the	the	DET
awl-420	166	2	descriptive	descriptive	ADJ
awl-420	166	3	statistics	statistic	NOUN
awl-420	166	4	summaries	summary	NOUN
awl-420	166	5	of	of	ADP
awl-420	166	6	gender	gender	NOUN
awl-420	166	7	pay	pay	NOUN
awl-420	166	8	equity	equity	NOUN
awl-420	166	9	are	be	AUX
awl-420	166	10	shown	show	VERB
awl-420	166	11	in	in	ADP
awl-420	166	12	tables	table	NOUN
awl-420	166	13	2	2	NUM
awl-420	166	14	and	and	CCONJ
awl-420	166	15	3	3	NUM
awl-420	166	16	.	.	PUNCT
awl-420	167	1	the	the	DET
awl-420	167	2	mean	mean	ADJ
awl-420	167	3	gender	gender	NOUN
awl-420	167	4	pay	pay	NOUN
awl-420	167	5	equity	equity	NOUN
awl-420	167	6	is	be	AUX
awl-420	167	7	74.73	74.73	NUM
awl-420	167	8	%	%	NOUN
awl-420	167	9	(	(	PUNCT
awl-420	167	10	sd	sd	NOUN
awl-420	167	11	=	=	SYM
awl-420	167	12	14.24	14.24	NUM
awl-420	167	13	%	%	NOUN
awl-420	167	14	)	)	PUNCT
awl-420	167	15	for	for	ADP
awl-420	167	16	the	the	DET
awl-420	167	17	general	general	ADJ
awl-420	167	18	population	population	NOUN
awl-420	167	19	.	.	PUNCT
awl-420	168	1	the	the	DET
awl-420	168	2	highest	high	ADJ
awl-420	168	3	gender	gender	NOUN
awl-420	168	4	pay	pay	NOUN
awl-420	168	5	equity	equity	NOUN
awl-420	168	6	in	in	ADP
awl-420	168	7	the	the	DET
awl-420	168	8	dataset	dataset	NOUN
awl-420	168	9	is	be	AUX
awl-420	168	10	118.16	118.16	NUM
awl-420	168	11	%	%	NOUN
awl-420	168	12	,	,	PUNCT
awl-420	168	13	while	while	SCONJ
awl-420	168	14	the	the	DET
awl-420	168	15	lowest	low	ADJ
awl-420	168	16	gender	gender	NOUN
awl-420	168	17	pay	pay	NOUN
awl-420	168	18	equity	equity	NOUN
awl-420	168	19	of	of	ADP
awl-420	168	20	the	the	DET
awl-420	168	21	general	general	ADJ
awl-420	168	22	population	population	NOUN
awl-420	168	23	is	be	AUX
awl-420	168	24	32.71	32.71	NUM
awl-420	168	25	%	%	NOUN
awl-420	168	26	,	,	PUNCT
awl-420	168	27	shown	show	VERB
awl-420	168	28	in	in	ADP
awl-420	168	29	tables	table	NOUN
awl-420	168	30	2	2	NUM
awl-420	168	31	and	and	CCONJ
awl-420	168	32	3	3	NUM
awl-420	168	33	.	.	PUNCT
awl-420	169	1	it	it	PRON
awl-420	169	2	should	should	AUX
awl-420	169	3	be	be	AUX
awl-420	169	4	noted	note	VERB
awl-420	169	5	that	that	SCONJ
awl-420	169	6	male	male	ADJ
awl-420	169	7	samples	sample	NOUN
awl-420	169	8	have	have	VERB
awl-420	169	9	higher	high	ADJ
awl-420	169	10	pay	pay	NOUN
awl-420	169	11	data	datum	NOUN
awl-420	169	12	than	than	ADP
awl-420	169	13	female	female	ADJ
awl-420	169	14	samples	sample	NOUN
awl-420	169	15	because	because	SCONJ
awl-420	169	16	the	the	DET
awl-420	169	17	percentage	percentage	NOUN
awl-420	169	18	is	be	AUX
awl-420	169	19	below	below	ADP
awl-420	169	20	100	100	NUM
awl-420	169	21	%	%	NOUN
awl-420	169	22	.	.	PUNCT
awl-420	170	1	this	this	PRON
awl-420	170	2	means	mean	VERB
awl-420	170	3	that	that	SCONJ
awl-420	170	4	men	man	NOUN
awl-420	170	5	are	be	AUX
awl-420	170	6	in	in	ADP
awl-420	170	7	favor	favor	NOUN
awl-420	170	8	of	of	ADP
awl-420	170	9	women	woman	NOUN
awl-420	170	10	(	(	PUNCT
awl-420	170	11	women	woman	NOUN
awl-420	170	12	are	be	AUX
awl-420	170	13	paid	pay	VERB
awl-420	170	14	less	less	ADJ
awl-420	170	15	than	than	ADP
awl-420	170	16	men	man	NOUN
awl-420	170	17	)	)	PUNCT
awl-420	170	18	.	.	PUNCT
awl-420	171	1	thus	thus	ADV
awl-420	171	2	,	,	PUNCT
awl-420	171	3	a	a	DET
awl-420	171	4	gender	gender	NOUN
awl-420	171	5	pay	pay	NOUN
awl-420	171	6	equity	equity	NOUN
awl-420	171	7	issue	issue	NOUN
awl-420	171	8	was	be	AUX
awl-420	171	9	observed	observe	VERB
awl-420	171	10	;	;	PUNCT
awl-420	171	11	however	however	ADV
awl-420	171	12	,	,	PUNCT
awl-420	171	13	the	the	DET
awl-420	171	14	significance	significance	NOUN
awl-420	171	15	of	of	ADP
awl-420	171	16	the	the	DET
awl-420	171	17	difference	difference	NOUN
awl-420	171	18	in	in	ADP
awl-420	171	19	gender	gender	NOUN
awl-420	171	20	pay	pay	NOUN
awl-420	171	21	equity	equity	NOUN
awl-420	171	22	was	be	AUX
awl-420	171	23	determined	determine	VERB
awl-420	171	24	using	use	VERB
awl-420	171	25	a	a	DET
awl-420	171	26	one	one	NUM
awl-420	171	27	-	-	PUNCT
awl-420	171	28	way	way	NOUN
awl-420	171	29	anova	anova	PROPN
awl-420	171	30	to	to	PART
awl-420	171	31	determine	determine	VERB
awl-420	171	32	significant	significant	ADJ
awl-420	171	33	differences	difference	NOUN
awl-420	171	34	in	in	ADP
awl-420	171	35	gender	gender	NOUN
awl-420	171	36	pay	pay	NOUN
awl-420	171	37	equity	equity	NOUN
awl-420	171	38	by	by	ADP
awl-420	171	39	states	state	NOUN
awl-420	171	40	and	and	CCONJ
awl-420	171	41	industry	industry	NOUN
awl-420	171	42	of	of	ADP
awl-420	171	43	the	the	DET
awl-420	171	44	united	united	PROPN
awl-420	171	45	states	states	PROPN
awl-420	171	46	public	public	ADJ
awl-420	171	47	sector	sector	NOUN
awl-420	171	48	.	.	PUNCT
awl-420	172	1	table	table	NOUN
awl-420	172	2	refers	refer	VERB
awl-420	172	3	to	to	ADP
awl-420	172	4	the	the	DET
awl-420	172	5	composite	composite	ADJ
awl-420	172	6	abuse	abuse	NOUN
awl-420	172	7	scale	scale	NOUN
awl-420	172	8	revised	revise	VERB
awl-420	172	9	(	(	PUNCT
awl-420	172	10	casr	casr	PROPN
awl-420	172	11	-	-	PUNCT
awl-420	172	12	sf	sf	PROPN
awl-420	172	13	)	)	PUNCT
awl-420	172	14	.	.	PUNCT
awl-420	173	1	the	the	DET
awl-420	173	2	composite	composite	ADJ
awl-420	173	3	abuse	abuse	NOUN
awl-420	173	4	scale	scale	NOUN
awl-420	173	5	revised	revise	VERB
awl-420	173	6	refers	refer	VERB
awl-420	173	7	to	to	ADP
awl-420	173	8	the	the	DET
awl-420	173	9	relationship	relationship	NOUN
awl-420	173	10	we	we	PRON
awl-420	173	11	mean	mean	VERB
awl-420	173	12	a	a	DET
awl-420	173	13	current	current	ADJ
awl-420	173	14	partner	partner	NOUN
awl-420	173	15	.	.	PUNCT
awl-420	174	1	a	a	DET
awl-420	174	2	main	main	ADJ
awl-420	174	3	interpretation	interpretation	NOUN
awl-420	174	4	of	of	ADP
awl-420	174	5	casr	casr	PROPN
awl-420	174	6	-	-	PUNCT
awl-420	174	7	sf	sf	PROPN
awl-420	174	8	is	be	AUX
awl-420	174	9	to	to	PART
awl-420	174	10	validate	validate	VERB
awl-420	174	11	the	the	DET
awl-420	174	12	reliable	reliable	ADJ
awl-420	174	13	brief	brief	NOUN
awl-420	174	14	of	of	ADP
awl-420	174	15	self	self	NOUN
awl-420	174	16	-	-	PUNCT
awl-420	174	17	reporting	report	VERB
awl-420	174	18	measurement	measurement	NOUN
awl-420	174	19	developed	develop	VERB
awl-420	174	20	while	while	SCONJ
awl-420	174	21	utilizing	utilize	VERB
awl-420	174	22	a	a	DET
awl-420	174	23	mixed	mixed	ADJ
awl-420	174	24	-	-	PUNCT
awl-420	174	25	method	method	NOUN
awl-420	174	26	approach	approach	NOUN
awl-420	174	27	.	.	PUNCT
awl-420	175	1	the	the	DET
awl-420	175	2	majority	majority	NOUN
awl-420	175	3	focus	focus	NOUN
awl-420	175	4	of	of	ADP
awl-420	175	5	casr	casr	PROPN
awl-420	175	6	-	-	PUNCT
awl-420	175	7	sf	sf	PROPN
awl-420	175	8	is	be	AUX
awl-420	175	9	to	to	PART
awl-420	175	10	focus	focus	VERB
awl-420	175	11	on	on	ADP
awl-420	175	12	the	the	DET
awl-420	175	13	severity	severity	NOUN
awl-420	175	14	and	and	CCONJ
awl-420	175	15	intensity	intensity	NOUN
awl-420	175	16	of	of	ADP
awl-420	175	17	the	the	DET
awl-420	175	18	data	data	NOUN
awl-420	175	19	point	point	NOUN
awl-420	175	20	captured	capture	VERB
awl-420	175	21	.	.	PUNCT
awl-420	176	1	108	108	NUM
awl-420	176	2	advancing	advance	VERB
awl-420	176	3	women	woman	NOUN
awl-420	176	4	in	in	ADP
awl-420	176	5	leadership	leadership	NOUN
awl-420	176	6	journal	journal	NOUN
awl-420	176	7	-	-	PUNCT
awl-420	176	8	volume	volume	NOUN
awl-420	176	9	41	41	NUM
awl-420	176	10	table	table	NOUN
awl-420	176	11	2	2	NUM
awl-420	176	12	descriptive	descriptive	ADJ
awl-420	176	13	statistics	statistic	NOUN
awl-420	176	14	summaries	summary	NOUN
awl-420	176	15	of	of	ADP
awl-420	176	16	gender	gender	NOUN
awl-420	176	17	pay	pay	NOUN
awl-420	176	18	equity	equity	NOUN
awl-420	176	19	data	datum	NOUN
awl-420	176	20	table	table	NOUN
awl-420	176	21	3	3	NUM
awl-420	176	22	descriptive	descriptive	ADJ
awl-420	176	23	statistics	statistic	NOUN
awl-420	176	24	for	for	ADP
awl-420	176	25	gender	gender	NOUN
awl-420	176	26	pay	pay	NOUN
awl-420	176	27	equity	equity	NOUN
awl-420	176	28	variables	variable	NOUN
awl-420	176	29	of	of	ADP
awl-420	176	30	measured	measure	VERB
awl-420	176	31	as	as	ADP
awl-420	176	32	𝐶𝐴𝑆𝑅-sf	𝐶𝐴𝑆𝑅-sf	X
awl-420	176	33	(	(	PUNCT
awl-420	176	34	n=1,79	n=1,79	PROPN
awl-420	176	35	)	)	PUNCT
awl-420	176	36	rq1	rq1	NOUN
awl-420	176	37	:	:	PUNCT
awl-420	176	38	are	be	AUX
awl-420	176	39	there	there	PRON
awl-420	176	40	any	any	DET
awl-420	176	41	statistically	statistically	ADV
awl-420	176	42	significant	significant	ADJ
awl-420	176	43	differences	difference	NOUN
awl-420	176	44	in	in	ADP
awl-420	176	45	gender	gender	NOUN
awl-420	176	46	pay	pay	NOUN
awl-420	176	47	equity	equity	NOUN
awl-420	176	48	among	among	ADP
awl-420	176	49	the	the	DET
awl-420	176	50	51	51	NUM
awl-420	176	51	states	state	NOUN
awl-420	176	52	(	(	PUNCT
awl-420	176	53	including	include	VERB
awl-420	176	54	d.c	d.c	PROPN
awl-420	176	55	.	.	PUNCT
awl-420	176	56	)	)	PUNCT
awl-420	177	1	in	in	ADP
awl-420	177	2	the	the	DET
awl-420	177	3	united	united	PROPN
awl-420	177	4	states	states	PROPN
awl-420	177	5	public	public	ADJ
awl-420	177	6	sector	sector	NOUN
awl-420	177	7	?	?	PUNCT
awl-420	178	1	the	the	DET
awl-420	178	2	results	result	NOUN
awl-420	178	3	presented	present	VERB
awl-420	178	4	in	in	ADP
awl-420	178	5	table	table	NOUN
awl-420	178	6	4	4	NUM
awl-420	178	7	indicate	indicate	VERB
awl-420	178	8	a	a	DET
awl-420	178	9	statistically	statistically	ADV
awl-420	178	10	significant	significant	ADJ
awl-420	178	11	difference	difference	NOUN
awl-420	178	12	across	across	ADP
awl-420	178	13	the	the	DET
awl-420	178	14	51	51	NUM
awl-420	178	15	states	state	NOUN
awl-420	178	16	(	(	PUNCT
awl-420	178	17	including	include	VERB
awl-420	178	18	d.c	d.c	PROPN
awl-420	178	19	.	.	PUNCT
awl-420	178	20	)	)	PUNCT
awl-420	179	1	in	in	ADP
awl-420	179	2	terms	term	NOUN
awl-420	179	3	of	of	ADP
awl-420	179	4	gender	gender	NOUN
awl-420	179	5	pay	pay	NOUN
awl-420	179	6	equity	equity	NOUN
awl-420	179	7	,	,	PUNCT
awl-420	179	8	f(50	f(50	NOUN
awl-420	179	9	,	,	PUNCT
awl-420	179	10	1740	1740	NUM
awl-420	179	11	)	)	PUNCT
awl-420	179	12	=	=	SYM
awl-420	179	13	1.69	1.69	NUM
awl-420	179	14	,	,	PUNCT
awl-420	179	15	p	p	X
awl-420	179	16	=	=	NOUN
awl-420	179	17	0.019	0.019	NUM
awl-420	179	18	.	.	PUNCT
awl-420	180	1	the	the	DET
awl-420	180	2	difference	difference	NOUN
awl-420	180	3	is	be	AUX
awl-420	180	4	significant	significant	ADJ
awl-420	180	5	because	because	SCONJ
awl-420	180	6	the	the	DET
awl-420	180	7	p	p	NOUN
awl-420	180	8	-	-	PUNCT
awl-420	180	9	value	value	NOUN
awl-420	180	10	is	be	AUX
awl-420	180	11	below	below	ADP
awl-420	180	12	the	the	DET
awl-420	180	13	corrected	correct	VERB
awl-420	180	14	level	level	NOUN
awl-420	180	15	of	of	ADP
awl-420	180	16	significance	significance	NOUN
awl-420	180	17	value	value	NOUN
awl-420	180	18	(	(	PUNCT
awl-420	180	19	α	α	NOUN
awl-420	180	20	=	=	NOUN
awl-420	180	21	.025	.025	NUM
awl-420	180	22	)	)	PUNCT
awl-420	180	23	.	.	PUNCT
awl-420	181	1	no	no	DET
awl-420	181	2	posthoc	posthoc	NOUN
awl-420	181	3	tests	test	NOUN
awl-420	181	4	were	be	AUX
awl-420	181	5	performed	perform	VERB
awl-420	181	6	because	because	SCONJ
awl-420	181	7	of	of	ADP
awl-420	181	8	the	the	DET
awl-420	181	9	very	very	ADV
awl-420	181	10	large	large	ADJ
awl-420	181	11	number	number	NOUN
awl-420	181	12	of	of	ADP
awl-420	181	13	compared	compare	VERB
awl-420	181	14	groups	group	NOUN
awl-420	181	15	(	(	PUNCT
awl-420	181	16	51	51	NUM
awl-420	181	17	)	)	PUNCT
awl-420	181	18	.	.	PUNCT
awl-420	182	1	based	base	VERB
awl-420	182	2	on	on	ADP
awl-420	182	3	these	these	DET
awl-420	182	4	findings	finding	NOUN
awl-420	182	5	,	,	PUNCT
awl-420	182	6	which	which	PRON
awl-420	182	7	showed	show	VERB
awl-420	182	8	statistically	statistically	ADV
awl-420	182	9	significant	significant	ADJ
awl-420	182	10	differences	difference	NOUN
awl-420	182	11	in	in	ADP
awl-420	182	12	gender	gender	NOUN
awl-420	182	13	pay	pay	NOUN
awl-420	182	14	equity	equity	NOUN
awl-420	182	15	across	across	ADP
awl-420	182	16	the	the	DET
awl-420	182	17	51	51	NUM
awl-420	182	18	states	state	NOUN
awl-420	182	19	(	(	PUNCT
awl-420	182	20	including	include	VERB
awl-420	182	21	d.c	d.c	PROPN
awl-420	182	22	.	.	PUNCT
awl-420	182	23	)	)	PUNCT
awl-420	182	24	for	for	ADP
awl-420	182	25	u.s	u.s	PROPN
awl-420	182	26	.	.	PROPN
awl-420	182	27	public	public	ADJ
awl-420	182	28	sector	sector	NOUN
awl-420	182	29	employees	employee	NOUN
awl-420	182	30	,	,	PUNCT
awl-420	182	31	the	the	DET
awl-420	182	32	null	null	ADJ
awl-420	182	33	hypothesis	hypothesis	NOUN
awl-420	182	34	for	for	ADP
awl-420	182	35	research	research	NOUN
awl-420	182	36	question	question	NOUN
awl-420	182	37	1	1	NUM
awl-420	182	38	was	be	AUX
awl-420	182	39	rejected	reject	VERB
awl-420	182	40	.	.	PUNCT
awl-420	183	1	table	table	NOUN
awl-420	183	2	4	4	NUM
awl-420	183	3	results	result	NOUN
awl-420	183	4	of	of	ADP
awl-420	183	5	one	one	NUM
awl-420	183	6	-	-	PUNCT
awl-420	183	7	way	way	NOUN
awl-420	183	8	anova	anova	PROPN
awl-420	183	9	for	for	ADP
awl-420	183	10	gender	gender	NOUN
awl-420	183	11	pay	pay	NOUN
awl-420	183	12	equity	equity	NOUN
awl-420	183	13	by	by	ADP
awl-420	183	14	state	state	NOUN
awl-420	183	15	states	state	NOUN
awl-420	183	16	with	with	ADP
awl-420	183	17	the	the	DET
awl-420	183	18	lowest	low	ADJ
awl-420	183	19	gender	gender	NOUN
awl-420	183	20	pay	pay	NOUN
awl-420	183	21	equity	equity	NOUN
awl-420	183	22	,	,	PUNCT
awl-420	183	23	women	woman	NOUN
awl-420	183	24	were	be	AUX
awl-420	183	25	paid	pay	VERB
awl-420	183	26	lowest	low	ADJ
awl-420	183	27	to	to	ADP
awl-420	183	28	men	man	NOUN
awl-420	183	29	(	(	PUNCT
awl-420	183	30	measured	measure	VERB
awl-420	183	31	as	as	ADP
awl-420	183	32	the	the	DET
awl-420	183	33	percent	percent	NOUN
awl-420	183	34	difference	difference	NOUN
awl-420	183	35	between	between	ADP
awl-420	183	36	the	the	DET
awl-420	183	37	median	median	ADJ
awl-420	183	38	values	value	NOUN
awl-420	183	39	for	for	ADP
awl-420	183	40	males	male	NOUN
awl-420	183	41	and	and	CCONJ
awl-420	183	42	for	for	ADP
awl-420	183	43	females	female	NOUN
awl-420	183	44	)	)	PUNCT
awl-420	183	45	were	be	AUX
awl-420	183	46	idaho	idaho	NOUN
awl-420	183	47	(	(	PUNCT
awl-420	183	48	m	m	PROPN
awl-420	183	49	=	=	X
awl-420	183	50	66.91	66.91	NUM
awl-420	183	51	%	%	NOUN
awl-420	183	52	;	;	PUNCT
awl-420	183	53	sd	sd	ADP
awl-420	183	54	=	=	SYM
awl-420	183	55	16.55	16.55	NUM
awl-420	183	56	%	%	NOUN
awl-420	183	57	)	)	PUNCT
awl-420	183	58	,	,	PUNCT
awl-420	183	59	utah	utah	PROPN
awl-420	183	60	(	(	PUNCT
awl-420	183	61	m	m	PROPN
awl-420	183	62	=	=	SYM
awl-420	183	63	67.53	67.53	NUM
awl-420	183	64	%	%	NOUN
awl-420	183	65	;	;	PUNCT
awl-420	183	66	sd	sd	ADP
awl-420	183	67	=	=	SYM
awl-420	183	68	15.35	15.35	NUM
awl-420	183	69	%	%	NOUN
awl-420	183	70	)	)	PUNCT
awl-420	183	71	,	,	PUNCT
awl-420	183	72	louisiana	louisiana	PROPN
awl-420	183	73	(	(	PUNCT
awl-420	183	74	m	m	PROPN
awl-420	183	75	=	=	NOUN
awl-420	183	76	69.53	69.53	NUM
awl-420	183	77	%	%	NOUN
awl-420	183	78	;	;	PUNCT
awl-420	183	79	sd	sd	ADP
awl-420	183	80	=	=	SYM
awl-420	183	81	12.66	12.66	NUM
awl-420	183	82	%	%	NOUN
awl-420	183	83	)	)	PUNCT
awl-420	183	84	,	,	PUNCT
awl-420	183	85	wyoming	wyoming	NOUN
awl-420	183	86	(	(	PUNCT
awl-420	183	87	m	m	PROPN
awl-420	183	88	=	=	SYM
awl-420	183	89	70.80	70.80	NUM
awl-420	183	90	%	%	NOUN
awl-420	183	91	;	;	PUNCT
awl-420	183	92	sd	sd	ADP
awl-420	183	93	=	=	SYM
awl-420	183	94	18.93	18.93	NUM
awl-420	183	95	%	%	NOUN
awl-420	183	96	)	)	PUNCT
awl-420	183	97	,	,	PUNCT
awl-420	183	98	and	and	CCONJ
awl-420	183	99	connecticut	connecticut	PROPN
awl-420	183	100	(	(	PUNCT
awl-420	183	101	m	m	PROPN
awl-420	183	102	=	=	SYM
awl-420	183	103	71.58	71.58	NUM
awl-420	183	104	%	%	NOUN
awl-420	183	105	;	;	PUNCT
awl-420	183	106	sd	sd	ADP
awl-420	183	107	=	=	SYM
awl-420	183	108	13.31	13.31	NUM
awl-420	183	109	%	%	NOUN
awl-420	183	110	)	)	PUNCT
awl-420	183	111	.	.	PUNCT
awl-420	184	1	the	the	DET
awl-420	184	2	states	state	NOUN
awl-420	184	3	with	with	ADP
awl-420	184	4	the	the	DET
awl-420	184	5	highest	high	ADJ
awl-420	184	6	(	(	PUNCT
awl-420	184	7	i.e.	i.e.	X
awl-420	184	8	,	,	PUNCT
awl-420	184	9	best	good	ADJ
awl-420	184	10	)	)	PUNCT
awl-420	184	11	gender	gender	NOUN
awl-420	184	12	pay	pay	NOUN
awl-420	184	13	equity	equity	NOUN
awl-420	184	14	were	be	AUX
awl-420	184	15	the	the	DET
awl-420	184	16	district	district	NOUN
awl-420	184	17	of	of	ADP
awl-420	184	18	columbia	columbia	PROPN
awl-420	184	19	(	(	PUNCT
awl-420	184	20	m	m	PROPN
awl-420	184	21	=	=	SYM
awl-420	184	22	81.69	81.69	NUM
awl-420	184	23	%	%	NOUN
awl-420	184	24	;	;	PUNCT
awl-420	184	25	sd	sd	ADP
awl-420	184	26	=	=	SYM
awl-420	184	27	13.31	13.31	NUM
awl-420	184	28	%	%	NOUN
awl-420	184	29	)	)	PUNCT
awl-420	184	30	,	,	PUNCT
awl-420	184	31	nevada	nevada	PROPN
awl-420	184	32	(	(	PUNCT
awl-420	184	33	m	m	PROPN
awl-420	184	34	=	=	NOUN
awl-420	184	35	81.18	81.18	NUM
awl-420	184	36	%	%	NOUN
awl-420	184	37	;	;	PUNCT
awl-420	184	38	sd	sd	ADP
awl-420	184	39	=	=	SYM
awl-420	184	40	73.86	73.86	NUM
awl-420	184	41	%	%	NOUN
awl-420	184	42	)	)	PUNCT
awl-420	184	43	,	,	PUNCT
awl-420	184	44	arizona	arizona	PROPN
awl-420	184	45	(	(	PUNCT
awl-420	184	46	m	m	PROPN
awl-420	184	47	=	=	SYM
awl-420	184	48	80.67	80.67	NUM
awl-420	184	49	%	%	NOUN
awl-420	184	50	;	;	PUNCT
awl-420	184	51	sd	sd	ADP
awl-420	184	52	=	=	SYM
awl-420	184	53	11.75	11.75	NUM
awl-420	184	54	%	%	NOUN
awl-420	184	55	)	)	PUNCT
awl-420	184	56	,	,	PUNCT
awl-420	184	57	vermont	vermont	PROPN
awl-420	184	58	(	(	PUNCT
awl-420	184	59	m	m	PROPN
awl-420	184	60	=	=	SYM
awl-420	184	61	79.55	79.55	NUM
awl-420	184	62	%	%	NOUN
awl-420	184	63	;	;	PUNCT
awl-420	184	64	sd	sd	ADP
awl-420	184	65	=	=	SYM
awl-420	184	66	17.82	17.82	NUM
awl-420	184	67	%	%	NOUN
awl-420	184	68	)	)	PUNCT
awl-420	184	69	,	,	PUNCT
awl-420	184	70	and	and	CCONJ
awl-420	184	71	maryland	maryland	NOUN
awl-420	184	72	(	(	PUNCT
awl-420	184	73	m	m	PROPN
awl-420	184	74	=	=	X
awl-420	184	75	79.15	79.15	NUM
awl-420	184	76	%	%	NOUN
awl-420	184	77	;	;	PUNCT
awl-420	184	78	sd	sd	ADP
awl-420	184	79	=	=	SYM
awl-420	184	80	14.17	14.17	NUM
awl-420	184	81	%	%	NOUN
awl-420	184	82	)	)	PUNCT
awl-420	184	83	.	.	PUNCT
awl-420	185	1	rq2	rq2	NOUN
awl-420	185	2	:	:	PUNCT
awl-420	185	3	are	be	AUX
awl-420	185	4	there	there	PRON
awl-420	185	5	any	any	DET
awl-420	185	6	statistically	statistically	ADV
awl-420	185	7	significant	significant	ADJ
awl-420	185	8	differences	difference	NOUN
awl-420	185	9	in	in	ADP
awl-420	185	10	gender	gender	NOUN
awl-420	185	11	pay	pay	NOUN
awl-420	185	12	equity	equity	NOUN
awl-420	185	13	among	among	ADP
awl-420	185	14	the	the	DET
awl-420	185	15	five	five	NUM
awl-420	185	16	major	major	ADJ
awl-420	185	17	industries	industry	NOUN
awl-420	185	18	in	in	ADP
awl-420	185	19	the	the	DET
awl-420	185	20	united	united	PROPN
awl-420	185	21	states	states	PROPN
awl-420	185	22	public	public	ADJ
awl-420	185	23	sector	sector	NOUN
awl-420	185	24	?	?	PUNCT
awl-420	186	1	the	the	DET
awl-420	186	2	categorical	categorical	ADJ
awl-420	186	3	independent	independent	ADJ
awl-420	186	4	variable	variable	NOUN
awl-420	186	5	defined	define	VERB
awl-420	186	6	five	five	NUM
awl-420	186	7	groups	group	NOUN
awl-420	186	8	that	that	PRON
awl-420	186	9	were	be	AUX
awl-420	186	10	compared	compare	VERB
awl-420	186	11	:	:	PUNCT
awl-420	186	12	(	(	PUNCT
awl-420	186	13	a	a	X
awl-420	186	14	)	)	PUNCT
awl-420	186	15	management	management	NOUN
awl-420	186	16	,	,	PUNCT
awl-420	186	17	business	business	NOUN
awl-420	186	18	,	,	PUNCT
awl-420	186	19	science	science	NOUN
awl-420	186	20	,	,	PUNCT
awl-420	186	21	and	and	CCONJ
awl-420	186	22	art	art	NOUN
awl-420	186	23	occupations	occupation	NOUN
awl-420	186	24	,	,	PUNCT
awl-420	186	25	(	(	PUNCT
awl-420	186	26	b	b	X
awl-420	186	27	)	)	PUNCT
awl-420	186	28	service	service	NOUN
awl-420	186	29	occupations	occupation	NOUN
awl-420	186	30	,	,	PUNCT
awl-420	186	31	(	(	PUNCT
awl-420	186	32	c	c	X
awl-420	186	33	)	)	PUNCT
awl-420	186	34	sales	sale	NOUN
awl-420	186	35	and	and	CCONJ
awl-420	186	36	office	office	NOUN
awl-420	186	37	occupations	occupation	NOUN
awl-420	186	38	,	,	PUNCT
awl-420	186	39	(	(	PUNCT
awl-420	186	40	d	d	NOUN
awl-420	186	41	)	)	PUNCT
awl-420	186	42	natural	natural	ADJ
awl-420	186	43	resources	resource	NOUN
awl-420	186	44	,	,	PUNCT
awl-420	186	45	construction	construction	NOUN
awl-420	186	46	,	,	PUNCT
awl-420	186	47	and	and	CCONJ
awl-420	186	48	maintenance	maintenance	NOUN
awl-420	186	49	occupations	occupation	NOUN
awl-420	186	50	,	,	PUNCT
awl-420	186	51	and	and	CCONJ
awl-420	186	52	(	(	PUNCT
awl-420	186	53	e	e	NOUN
awl-420	186	54	)	)	PUNCT
awl-420	186	55	production	production	NOUN
awl-420	186	56	occupations	occupation	NOUN
awl-420	186	57	.	.	PUNCT
awl-420	187	1	a	a	DET
awl-420	187	2	level	level	NOUN
awl-420	187	3	of	of	ADP
awl-420	187	4	significance	significance	NOUN
awl-420	187	5	of	of	ADP
awl-420	187	6	.025	.025	NUM
awl-420	187	7	was	be	AUX
awl-420	187	8	also	also	ADV
awl-420	187	9	used	use	VERB
awl-420	187	10	in	in	ADP
awl-420	187	11	the	the	DET
awl-420	187	12	one	one	NUM
awl-420	187	13	-	-	PUNCT
awl-420	187	14	way	way	NOUN
awl-420	187	15	anova	anova	PROPN
awl-420	187	16	.	.	PUNCT
awl-420	188	1	the	the	DET
awl-420	188	2	one	one	NUM
awl-420	188	3	-	-	PUNCT
awl-420	188	4	way	way	NOUN
awl-420	188	5	anova	anova	PROPN
awl-420	188	6	results	result	NOUN
awl-420	188	7	determined	determine	VERB
awl-420	188	8	the	the	DET
awl-420	188	9	significance	significance	NOUN
awl-420	188	10	of	of	ADP
awl-420	188	11	the	the	DET
awl-420	188	12	difference	difference	NOUN
awl-420	188	13	in	in	ADP
awl-420	188	14	gender	gender	NOUN
awl-420	188	15	pay	pay	NOUN
awl-420	188	16	equity	equity	NOUN
awl-420	188	17	by	by	ADP
awl-420	188	18	industry	industry	NOUN
awl-420	188	19	;	;	PUNCT
awl-420	188	20	the	the	DET
awl-420	188	21	results	result	NOUN
awl-420	188	22	are	be	AUX
awl-420	188	23	shown	show	VERB
awl-420	188	24	in	in	ADP
awl-420	188	25	table	table	NOUN
awl-420	188	26	5	5	NUM
awl-420	188	27	.	.	PUNCT
awl-420	189	1	the	the	DET
awl-420	189	2	one	one	NUM
awl-420	189	3	-	-	PUNCT
awl-420	189	4	way	way	NOUN
awl-420	189	5	anova	anova	PROPN
awl-420	189	6	revealed	reveal	VERB
awl-420	189	7	a	a	DET
awl-420	189	8	significant	significant	ADJ
awl-420	189	9	difference	difference	NOUN
awl-420	189	10	in	in	ADP
awl-420	189	11	gender	gender	NOUN
awl-420	189	12	pay	pay	NOUN
awl-420	189	13	equity	equity	NOUN
awl-420	189	14	among	among	ADP
awl-420	189	15	the	the	DET
awl-420	189	16	five	five	NUM
awl-420	189	17	major	major	ADJ
awl-420	189	18	industries	industry	NOUN
awl-420	189	19	,	,	PUNCT
awl-420	189	20	f(4	f(4	PROPN
awl-420	189	21	,	,	PUNCT
awl-420	189	22	1735	1735	NUM
awl-420	189	23	)	)	PUNCT
awl-420	189	24	=	=	SYM
awl-420	189	25	17.00	17.00	NUM
awl-420	189	26	,	,	PUNCT
awl-420	189	27	p	p	X
awl-420	189	28	<	<	X
awl-420	189	29	.001	.001	NUM
awl-420	189	30	(	(	PUNCT
awl-420	189	31	table	table	NOUN
awl-420	189	32	4	4	NUM
awl-420	189	33	)	)	PUNCT
awl-420	189	34	.	.	PUNCT
awl-420	190	1	there	there	PRON
awl-420	190	2	is	be	VERB
awl-420	190	3	a	a	DET
awl-420	190	4	significant	significant	ADJ
awl-420	190	5	difference	difference	NOUN
awl-420	190	6	because	because	SCONJ
awl-420	190	7	the	the	DET
awl-420	190	8	p	p	NOUN
awl-420	190	9	-	-	PUNCT
awl-420	190	10	value	value	NOUN
awl-420	190	11	corresponding	corresponding	NOUN
awl-420	190	12	to	to	ADP
awl-420	190	13	the	the	DET
awl-420	190	14	f	f	PROPN
awl-420	190	15	statistic	statistic	NOUN
awl-420	190	16	is	be	AUX
awl-420	190	17	lower	low	ADJ
awl-420	190	18	than	than	ADP
awl-420	190	19	the	the	DET
awl-420	190	20	corrected	correct	VERB
awl-420	190	21	level	level	NOUN
awl-420	190	22	of	of	ADP
awl-420	190	23	significance	significance	NOUN
awl-420	190	24	(	(	PUNCT
awl-420	190	25	α	α	NOUN
awl-420	190	26	=	=	NOUN
awl-420	190	27	.025	.025	NUM
awl-420	190	28	)	)	PUNCT
awl-420	190	29	.	.	PUNCT
awl-420	191	1	it	it	PRON
awl-420	191	2	is	be	AUX
awl-420	191	3	important	important	ADJ
awl-420	191	4	to	to	PART
awl-420	191	5	note	note	VERB
awl-420	191	6	that	that	SCONJ
awl-420	191	7	the	the	DET
awl-420	191	8	analysis	analysis	NOUN
awl-420	191	9	of	of	ADP
awl-420	191	10	the	the	DET
awl-420	191	11	major	major	ADJ
awl-420	191	12	industries	industry	NOUN
awl-420	191	13	had	have	VERB
awl-420	191	14	51	51	NUM
awl-420	191	15	fewer	few	ADJ
awl-420	191	16	data	datum	NOUN
awl-420	191	17	points	point	NOUN
awl-420	191	18	since	since	SCONJ
awl-420	191	19	"	"	PUNCT
awl-420	191	20	civilian	civilian	ADJ
awl-420	191	21	employed	employ	VERB
awl-420	191	22	population	population	NOUN
awl-420	191	23	16	16	NUM
awl-420	191	24	years	year	NOUN
awl-420	191	25	and	and	CCONJ
awl-420	191	26	over	over	ADP
awl-420	191	27	with	with	ADP
awl-420	191	28	earnings	earning	NOUN
awl-420	191	29	"	"	PUNCT
awl-420	191	30	does	do	AUX
awl-420	191	31	not	not	PART
awl-420	191	32	have	have	VERB
awl-420	191	33	a	a	DET
awl-420	191	34	specific	specific	ADJ
awl-420	191	35	industry	industry	NOUN
awl-420	191	36	since	since	SCONJ
awl-420	191	37	it	it	PRON
awl-420	191	38	represents	represent	VERB
awl-420	191	39	all	all	DET
awl-420	191	40	data	datum	NOUN
awl-420	191	41	points	point	NOUN
awl-420	191	42	that	that	PRON
awl-420	191	43	were	be	AUX
awl-420	191	44	not	not	PART
awl-420	191	45	specifically	specifically	ADV
awl-420	191	46	classified	classify	VERB
awl-420	191	47	under	under	ADP
awl-420	191	48	one	one	NUM
awl-420	191	49	of	of	ADP
awl-420	191	50	the	the	DET
awl-420	191	51	5	5	NUM
awl-420	191	52	major	major	ADJ
awl-420	191	53	industries	industry	NOUN
awl-420	191	54	.	.	PUNCT
awl-420	192	1	the	the	DET
awl-420	192	2	posthoc	posthoc	NOUN
awl-420	192	3	test	test	NOUN
awl-420	192	4	results	result	NOUN
awl-420	192	5	of	of	ADP
awl-420	192	6	the	the	DET
awl-420	192	7	games	games	PROPN
awl-420	192	8	-	-	PUNCT
awl-420	192	9	howell	howell	PROPN
awl-420	192	10	tests	test	NOUN
awl-420	192	11	(	(	PUNCT
awl-420	192	12	table	table	NOUN
awl-420	192	13	6	6	NUM
awl-420	192	14	)	)	PUNCT
awl-420	192	15	identified	identify	VERB
awl-420	192	16	the	the	DET
awl-420	192	17	statistically	statistically	ADV
awl-420	192	18	significant	significant	ADJ
awl-420	192	19	differences	difference	NOUN
awl-420	192	20	for	for	ADP
awl-420	192	21	multiple	multiple	ADJ
awl-420	192	22	pairings	pairing	NOUN
awl-420	192	23	of	of	ADP
awl-420	192	24	groups	group	NOUN
awl-420	192	25	.	.	PUNCT
awl-420	193	1	specifically	specifically	ADV
awl-420	193	2	,	,	PUNCT
awl-420	193	3	there	there	PRON
awl-420	193	4	were	be	VERB
awl-420	193	5	significant	significant	ADJ
awl-420	193	6	differences	difference	NOUN
awl-420	193	7	in	in	ADP
awl-420	193	8	the	the	DET
awl-420	193	9	gender	gender	NOUN
awl-420	193	10	pay	pay	NOUN
awl-420	193	11	equity	equity	NOUN
awl-420	193	12	between	between	ADP
awl-420	193	13	management	management	NOUN
awl-420	193	14	,	,	PUNCT
awl-420	193	15	business	business	NOUN
awl-420	193	16	,	,	PUNCT
awl-420	193	17	science	science	NOUN
awl-420	193	18	,	,	PUNCT
awl-420	193	19	and	and	CCONJ
awl-420	193	20	art	art	NOUN
awl-420	193	21	occupations	occupation	NOUN
awl-420	193	22	;	;	PUNCT
awl-420	193	23	and	and	CCONJ
awl-420	193	24	natural	natural	ADJ
awl-420	193	25	resources	resource	NOUN
awl-420	193	26	,	,	PUNCT
awl-420	193	27	construction	construction	NOUN
awl-420	193	28	,	,	PUNCT
awl-420	193	29	and	and	CCONJ
awl-420	193	30	maintenance	maintenance	NOUN
awl-420	193	31	occupation	occupation	NOUN
awl-420	193	32	(	(	PUNCT
awl-420	193	33	p	p	X
awl-420	193	34	<	<	X
awl-420	193	35	0.001	0.001	NUM
awl-420	193	36	)	)	PUNCT
awl-420	193	37	by	by	ADP
awl-420	193	38	a	a	DET
awl-420	193	39	mean	mean	ADJ
awl-420	193	40	difference	difference	NOUN
awl-420	193	41	of	of	ADP
awl-420	193	42	4.34	4.34	NUM
awl-420	193	43	%	%	NOUN
awl-420	193	44	.	.	PUNCT
awl-420	194	1	there	there	PRON
awl-420	194	2	were	be	VERB
awl-420	194	3	significant	significant	ADJ
awl-420	194	4	differences	difference	NOUN
awl-420	194	5	in	in	ADP
awl-420	194	6	the	the	DET
awl-420	194	7	gender	gender	NOUN
awl-420	194	8	pay	pay	NOUN
awl-420	194	9	equity	equity	NOUN
awl-420	194	10	between	between	ADP
awl-420	194	11	management	management	NOUN
awl-420	194	12	,	,	PUNCT
awl-420	194	13	business	business	NOUN
awl-420	194	14	,	,	PUNCT
awl-420	194	15	science	science	NOUN
awl-420	194	16	,	,	PUNCT
awl-420	194	17	and	and	CCONJ
awl-420	194	18	art	art	NOUN
awl-420	194	19	occupations	occupation	NOUN
awl-420	194	20	;	;	PUNCT
awl-420	194	21	and	and	CCONJ
awl-420	194	22	production	production	NOUN
awl-420	194	23	occupations	occupation	NOUN
awl-420	194	24	(	(	PUNCT
awl-420	194	25	p	p	X
awl-420	194	26	<	<	X
awl-420	194	27	0.001	0.001	NUM
awl-420	194	28	)	)	PUNCT
awl-420	194	29	by	by	ADP
awl-420	194	30	a	a	DET
awl-420	194	31	mean	mean	ADJ
awl-420	194	32	difference	difference	NOUN
awl-420	194	33	of	of	ADP
awl-420	194	34	8.35	8.35	NUM
awl-420	194	35	%	%	NOUN
awl-420	194	36	.	.	PUNCT
awl-420	195	1	there	there	PRON
awl-420	195	2	were	be	VERB
awl-420	195	3	significant	significant	ADJ
awl-420	195	4	differences	difference	NOUN
awl-420	195	5	in	in	ADP
awl-420	195	6	the	the	DET
awl-420	195	7	gender	gender	NOUN
awl-420	195	8	pay	pay	NOUN
awl-420	195	9	equity	equity	NOUN
awl-420	195	10	between	between	ADP
awl-420	195	11	service	service	NOUN
awl-420	195	12	occupations	occupation	NOUN
awl-420	195	13	;	;	PUNCT
awl-420	195	14	and	and	CCONJ
awl-420	195	15	natural	natural	ADJ
awl-420	195	16	resources	resource	NOUN
awl-420	195	17	,	,	PUNCT
awl-420	195	18	construction	construction	NOUN
awl-420	195	19	,	,	PUNCT
awl-420	195	20	and	and	CCONJ
awl-420	195	21	maintenance	maintenance	NOUN
awl-420	195	22	occupation	occupation	NOUN
awl-420	195	23	(	(	PUNCT
awl-420	195	24	p	p	X
awl-420	195	25	=	=	NOUN
awl-420	195	26	0.01	0.01	NUM
awl-420	195	27	)	)	PUNCT
awl-420	195	28	by	by	ADP
awl-420	195	29	a	a	DET
awl-420	195	30	mean	mean	ADJ
awl-420	195	31	difference	difference	NOUN
awl-420	195	32	of	of	ADP
awl-420	195	33	4.14	4.14	NUM
awl-420	195	34	%	%	NOUN
awl-420	195	35	.	.	PUNCT
awl-420	196	1	there	there	PRON
awl-420	196	2	were	be	VERB
awl-420	196	3	significant	significant	ADJ
awl-420	196	4	differences	difference	NOUN
awl-420	196	5	in	in	ADP
awl-420	196	6	the	the	DET
awl-420	196	7	gender	gender	NOUN
awl-420	196	8	pay	pay	NOUN
awl-420	196	9	equity	equity	NOUN
awl-420	196	10	between	between	ADP
awl-420	196	11	service	service	NOUN
awl-420	196	12	occupations	occupation	NOUN
awl-420	196	13	and	and	CCONJ
awl-420	196	14	production	production	NOUN
awl-420	196	15	occupations	occupation	NOUN
awl-420	196	16	(	(	PUNCT
awl-420	196	17	p	p	NOUN
awl-420	196	18	=	=	NOUN
awl-420	196	19	0.001	0.001	NUM
awl-420	196	20	)	)	PUNCT
awl-420	196	21	by	by	ADP
awl-420	196	22	a	a	DET
awl-420	196	23	mean	mean	ADJ
awl-420	196	24	difference	difference	NOUN
awl-420	196	25	of	of	ADP
awl-420	196	26	4.75	4.75	NUM
awl-420	196	27	%	%	NOUN
awl-420	196	28	.	.	PUNCT
awl-420	197	1	also	also	ADV
awl-420	197	2	,	,	PUNCT
awl-420	197	3	there	there	PRON
awl-420	197	4	was	be	VERB
awl-420	197	5	a	a	DET
awl-420	197	6	significant	significant	ADJ
awl-420	197	7	difference	difference	NOUN
awl-420	197	8	in	in	ADP
awl-420	197	9	the	the	DET
awl-420	197	10	gender	gender	NOUN
awl-420	197	11	pay	pay	NOUN
awl-420	197	12	equity	equity	NOUN
awl-420	197	13	between	between	ADP
awl-420	197	14	sales	sale	NOUN
awl-420	197	15	and	and	CCONJ
awl-420	197	16	office	office	NOUN
awl-420	197	17	occupations	occupation	NOUN
awl-420	197	18	and	and	CCONJ
awl-420	197	19	production	production	NOUN
awl-420	197	20	occupations	occupation	NOUN
awl-420	197	21	(	(	PUNCT
awl-420	197	22	p	p	X
awl-420	197	23	<	<	X
awl-420	197	24	0.001	0.001	NUM
awl-420	197	25	)	)	PUNCT
awl-420	197	26	by	by	ADP
awl-420	197	27	a	a	DET
awl-420	197	28	mean	mean	ADJ
awl-420	197	29	difference	difference	NOUN
awl-420	197	30	of	of	ADP
awl-420	197	31	5.43	5.43	NUM
awl-420	197	32	%	%	NOUN
awl-420	197	33	.	.	PUNCT
awl-420	198	1	there	there	PRON
awl-420	198	2	was	be	VERB
awl-420	198	3	a	a	DET
awl-420	198	4	significant	significant	ADJ
awl-420	198	5	difference	difference	NOUN
awl-420	198	6	in	in	ADP
awl-420	198	7	the	the	DET
awl-420	198	8	gender	gender	NOUN
awl-420	198	9	pay	pay	NOUN
awl-420	198	10	equity	equity	NOUN
awl-420	198	11	between	between	ADP
awl-420	198	12	natural	natural	ADJ
awl-420	198	13	resources	resource	NOUN
awl-420	198	14	,	,	PUNCT
awl-420	198	15	construction	construction	NOUN
awl-420	198	16	and	and	CCONJ
awl-420	198	17	maintenance	maintenance	NOUN
awl-420	198	18	occupations	occupation	NOUN
awl-420	198	19	,	,	PUNCT
awl-420	198	20	and	and	CCONJ
awl-420	198	21	production	production	NOUN
awl-420	198	22	occupations	occupation	NOUN
awl-420	198	23	(	(	PUNCT
awl-420	198	24	p	p	X
awl-420	198	25	=	=	NOUN
awl-420	198	26	0.04	0.04	NUM
awl-420	198	27	)	)	PUNCT
awl-420	198	28	by	by	ADP
awl-420	198	29	a	a	DET
awl-420	198	30	mean	mean	ADJ
awl-420	198	31	difference	difference	NOUN
awl-420	198	32	of	of	ADP
awl-420	198	33	4.01	4.01	NUM
awl-420	198	34	%	%	NOUN
awl-420	198	35	.	.	PUNCT
awl-420	199	1	table	table	NOUN
awl-420	199	2	5	5	NUM
awl-420	199	3	results	result	NOUN
awl-420	199	4	of	of	ADP
awl-420	199	5	one	one	NUM
awl-420	199	6	-	-	PUNCT
awl-420	199	7	way	way	NOUN
awl-420	199	8	anova	anova	PROPN
awl-420	199	9	for	for	ADP
awl-420	199	10	gender	gender	NOUN
awl-420	199	11	pay	pay	NOUN
awl-420	199	12	equity	equity	NOUN
awl-420	199	13	by	by	ADP
awl-420	199	14	major	major	ADJ
awl-420	199	15	industry	industry	NOUN
awl-420	199	16	109	109	NUM
awl-420	199	17	advancing	advance	VERB
awl-420	199	18	women	woman	NOUN
awl-420	199	19	in	in	ADP
awl-420	199	20	leadership	leadership	NOUN
awl-420	199	21	journal	journal	NOUN
awl-420	199	22	-	-	PUNCT
awl-420	199	23	volume	volume	NOUN
awl-420	199	24	41	41	NUM
awl-420	199	25	table	table	NOUN
awl-420	199	26	6	6	NUM
awl-420	199	27	results	result	NOUN
awl-420	199	28	of	of	ADP
awl-420	199	29	games	games	PROPN
awl-420	199	30	-	-	PUNCT
awl-420	199	31	howell	howell	PROPN
awl-420	199	32	test	test	NOUN
awl-420	199	33	for	for	ADP
awl-420	199	34	gender	gender	NOUN
awl-420	199	35	pay	pay	NOUN
awl-420	199	36	equity	equity	NOUN
awl-420	199	37	by	by	ADP
awl-420	199	38	major	major	ADJ
awl-420	199	39	industry	industry	NOUN
awl-420	199	40	*	*	PUNCT
awl-420	199	41	the	the	DET
awl-420	199	42	comparison	comparison	NOUN
awl-420	199	43	of	of	ADP
awl-420	199	44	means	mean	NOUN
awl-420	199	45	in	in	ADP
awl-420	199	46	table	table	NOUN
awl-420	199	47	7	7	NUM
awl-420	199	48	shows	show	VERB
awl-420	199	49	that	that	SCONJ
awl-420	199	50	the	the	DET
awl-420	199	51	industries	industry	NOUN
awl-420	199	52	with	with	ADP
awl-420	199	53	the	the	DET
awl-420	199	54	highest	high	ADJ
awl-420	199	55	gender	gender	NOUN
awl-420	199	56	pay	pay	NOUN
awl-420	199	57	equity	equity	NOUN
awl-420	199	58	(	(	PUNCT
awl-420	199	59	i.e.	i.e.	X
awl-420	199	60	,	,	PUNCT
awl-420	199	61	the	the	DET
awl-420	199	62	lowest	low	ADJ
awl-420	199	63	percentage	percentage	NOUN
awl-420	199	64	of	of	ADP
awl-420	199	65	female	female	ADJ
awl-420	199	66	earnings	earning	NOUN
awl-420	199	67	relative	relative	ADJ
awl-420	199	68	to	to	ADP
awl-420	199	69	male	male	ADJ
awl-420	199	70	earnings	earning	NOUN
awl-420	199	71	)	)	PUNCT
awl-420	199	72	were	be	AUX
awl-420	199	73	production	production	NOUN
awl-420	199	74	occupations	occupation	NOUN
awl-420	199	75	(	(	PUNCT
awl-420	199	76	m	m	NOUN
awl-420	199	77	=	=	SYM
awl-420	199	78	68.18	68.18	NUM
awl-420	199	79	%	%	NOUN
awl-420	199	80	;	;	PUNCT
awl-420	199	81	sd	sd	ADP
awl-420	199	82	=	=	SYM
awl-420	199	83	11.84	11.84	NUM
awl-420	199	84	%	%	NOUN
awl-420	199	85	)	)	PUNCT
awl-420	199	86	;	;	PUNCT
awl-420	199	87	and	and	CCONJ
awl-420	199	88	natural	natural	ADJ
awl-420	199	89	resources	resource	NOUN
awl-420	199	90	,	,	PUNCT
awl-420	199	91	construction	construction	NOUN
awl-420	199	92	,	,	PUNCT
awl-420	199	93	and	and	CCONJ
awl-420	199	94	maintenance	maintenance	NOUN
awl-420	199	95	occupations	occupation	NOUN
awl-420	199	96	(	(	PUNCT
awl-420	199	97	m	m	PROPN
awl-420	199	98	=	=	SYM
awl-420	199	99	72.18	72.18	NUM
awl-420	199	100	%	%	NOUN
awl-420	199	101	;	;	PUNCT
awl-420	199	102	sd	sd	ADP
awl-420	199	103	=	=	SYM
awl-420	199	104	16.53	16.53	NUM
awl-420	199	105	%	%	NOUN
awl-420	199	106	)	)	PUNCT
awl-420	199	107	.	.	PUNCT
awl-420	200	1	the	the	DET
awl-420	200	2	industries	industry	NOUN
awl-420	200	3	with	with	ADP
awl-420	200	4	the	the	DET
awl-420	200	5	lowest	low	ADJ
awl-420	200	6	gender	gender	NOUN
awl-420	200	7	pay	pay	NOUN
awl-420	200	8	equity	equity	NOUN
awl-420	200	9	(	(	PUNCT
awl-420	200	10	i.e.	i.e.	X
awl-420	200	11	,	,	PUNCT
awl-420	200	12	the	the	DET
awl-420	200	13	highest	high	ADJ
awl-420	200	14	percentage	percentage	NOUN
awl-420	200	15	of	of	ADP
awl-420	200	16	female	female	ADJ
awl-420	200	17	earnings	earning	NOUN
awl-420	200	18	relative	relative	ADJ
awl-420	200	19	to	to	ADP
awl-420	200	20	male	male	ADJ
awl-420	200	21	earnings	earning	NOUN
awl-420	200	22	)	)	PUNCT
awl-420	200	23	were	be	AUX
awl-420	200	24	management	management	NOUN
awl-420	200	25	,	,	PUNCT
awl-420	200	26	business	business	NOUN
awl-420	200	27	,	,	PUNCT
awl-420	200	28	science	science	NOUN
awl-420	200	29	,	,	PUNCT
awl-420	200	30	and	and	CCONJ
awl-420	200	31	art	art	NOUN
awl-420	200	32	occupations	occupation	NOUN
awl-420	200	33	(	(	PUNCT
awl-420	200	34	m	m	PROPN
awl-420	200	35	=	=	SYM
awl-420	200	36	76.53	76.53	NUM
awl-420	200	37	%	%	NOUN
awl-420	200	38	;	;	PUNCT
awl-420	200	39	sd	sd	ADP
awl-420	200	40	=	=	SYM
awl-420	200	41	12.29	12.29	NUM
awl-420	200	42	%	%	NOUN
awl-420	200	43	)	)	PUNCT
awl-420	200	44	followed	follow	VERB
awl-420	200	45	by	by	ADP
awl-420	200	46	service	service	NOUN
awl-420	200	47	occupations	occupation	NOUN
awl-420	200	48	(	(	PUNCT
awl-420	200	49	m	m	NOUN
awl-420	200	50	=	=	SYM
awl-420	200	51	76,33	76,33	NUM
awl-420	200	52	%	%	NOUN
awl-420	200	53	;	;	PUNCT
awl-420	200	54	sd	sd	X
awl-420	200	55	=	=	SYM
awl-420	200	56	14.95	14.95	NUM
awl-420	200	57	%	%	NOUN
awl-420	200	58	)	)	PUNCT
awl-420	200	59	.	.	PUNCT
awl-420	201	1	these	these	DET
awl-420	201	2	results	result	NOUN
awl-420	201	3	provided	provide	VERB
awl-420	201	4	evidence	evidence	NOUN
awl-420	201	5	of	of	ADP
awl-420	201	6	statistically	statistically	ADV
awl-420	201	7	significant	significant	ADJ
awl-420	201	8	differences	difference	NOUN
awl-420	201	9	in	in	ADP
awl-420	201	10	gender	gender	NOUN
awl-420	201	11	pay	pay	NOUN
awl-420	201	12	equity	equity	NOUN
awl-420	201	13	across	across	ADP
awl-420	201	14	the	the	DET
awl-420	201	15	five	five	NUM
awl-420	201	16	main	main	ADJ
awl-420	201	17	industries	industry	NOUN
awl-420	201	18	for	for	ADP
awl-420	201	19	the	the	DET
awl-420	201	20	united	united	PROPN
awl-420	201	21	states	states	PROPN
awl-420	201	22	public	public	ADJ
awl-420	201	23	sector	sector	NOUN
awl-420	201	24	.	.	PUNCT
awl-420	202	1	based	base	VERB
awl-420	202	2	on	on	ADP
awl-420	202	3	these	these	DET
awl-420	202	4	findings	finding	NOUN
awl-420	202	5	of	of	ADP
awl-420	202	6	the	the	DET
awl-420	202	7	one	one	NUM
awl-420	202	8	-	-	PUNCT
awl-420	202	9	way	way	NOUN
awl-420	202	10	anova	anova	PROPN
awl-420	202	11	,	,	PUNCT
awl-420	202	12	the	the	DET
awl-420	202	13	null	null	ADJ
awl-420	202	14	hypothesis	hypothesis	NOUN
awl-420	202	15	for	for	ADP
awl-420	202	16	research	research	NOUN
awl-420	202	17	question	question	NOUN
awl-420	202	18	2	2	NUM
awl-420	202	19	was	be	AUX
awl-420	202	20	rejected	reject	VERB
awl-420	202	21	.	.	PUNCT
awl-420	203	1	table	table	NOUN
awl-420	203	2	7	7	NUM
awl-420	203	3	descriptive	descriptive	ADJ
awl-420	203	4	statistics	statistic	NOUN
awl-420	203	5	for	for	ADP
awl-420	203	6	gender	gender	NOUN
awl-420	203	7	pay	pay	NOUN
awl-420	203	8	equity	equity	NOUN
awl-420	203	9	across	across	ADP
awl-420	203	10	the	the	DET
awl-420	203	11	five	five	NUM
awl-420	203	12	major	major	ADJ
awl-420	203	13	industries	industry	NOUN
awl-420	203	14	discussion	discussion	NOUN
awl-420	203	15	the	the	DET
awl-420	203	16	study	study	NOUN
awl-420	203	17	results	result	NOUN
awl-420	203	18	have	have	VERB
awl-420	203	19	profound	profound	ADJ
awl-420	203	20	practical	practical	ADJ
awl-420	203	21	implications	implication	NOUN
awl-420	203	22	and	and	CCONJ
awl-420	203	23	applications	application	NOUN
awl-420	203	24	regarding	regard	VERB
awl-420	203	25	gender	gender	NOUN
awl-420	203	26	pay	pay	NOUN
awl-420	203	27	equity	equity	NOUN
awl-420	203	28	.	.	PUNCT
awl-420	204	1	the	the	DET
awl-420	204	2	study	study	NOUN
awl-420	204	3	results	result	NOUN
awl-420	204	4	suggest	suggest	VERB
awl-420	204	5	that	that	SCONJ
awl-420	204	6	gender	gender	NOUN
awl-420	204	7	pay	pay	NOUN
awl-420	204	8	equity	equity	NOUN
awl-420	204	9	is	be	AUX
awl-420	204	10	significantly	significantly	ADV
awl-420	204	11	influenced	influence	VERB
awl-420	204	12	by	by	ADP
awl-420	204	13	the	the	DET
awl-420	204	14	individual	individual	ADJ
awl-420	204	15	state	state	NOUN
awl-420	204	16	in	in	ADP
awl-420	204	17	which	which	PRON
awl-420	204	18	a	a	DET
awl-420	204	19	woman	woman	NOUN
awl-420	204	20	lives	live	VERB
awl-420	204	21	and	and	CCONJ
awl-420	204	22	industry	industry	NOUN
awl-420	204	23	type	type	NOUN
awl-420	204	24	.	.	PUNCT
awl-420	205	1	as	as	SCONJ
awl-420	205	2	stated	state	VERB
awl-420	205	3	before	before	ADV
awl-420	205	4	,	,	PUNCT
awl-420	205	5	the	the	DET
awl-420	205	6	adverse	adverse	ADJ
awl-420	205	7	effects	effect	NOUN
awl-420	205	8	of	of	ADP
awl-420	205	9	gender	gender	NOUN
awl-420	205	10	pay	pay	NOUN
awl-420	205	11	equity	equity	NOUN
awl-420	205	12	are	be	AUX
awl-420	205	13	felt	feel	VERB
awl-420	205	14	throughout	throughout	ADP
awl-420	205	15	our	our	PRON
awl-420	205	16	economy	economy	NOUN
awl-420	205	17	and	and	CCONJ
awl-420	205	18	society	society	NOUN
awl-420	205	19	.	.	PUNCT
awl-420	206	1	pay	pay	VERB
awl-420	206	2	equity	equity	NOUN
awl-420	206	3	is	be	AUX
awl-420	206	4	a	a	DET
awl-420	206	5	topic	topic	NOUN
awl-420	206	6	that	that	PRON
awl-420	206	7	affects	affect	VERB
awl-420	206	8	74.6	74.6	NUM
awl-420	206	9	million	million	NUM
awl-420	206	10	women	woman	NOUN
awl-420	206	11	workers	worker	NOUN
awl-420	206	12	in	in	ADP
awl-420	206	13	the	the	DET
awl-420	206	14	civilian	civilian	ADJ
awl-420	206	15	labor	labor	NOUN
awl-420	206	16	force	force	NOUN
awl-420	206	17	(	(	PUNCT
awl-420	206	18	dewolf	dewolf	PROPN
awl-420	206	19	,	,	PUNCT
awl-420	206	20	2017	2017	NUM
awl-420	206	21	)	)	PUNCT
awl-420	206	22	.	.	PUNCT
awl-420	207	1	equal	equal	ADJ
awl-420	207	2	pay	pay	NOUN
awl-420	207	3	between	between	ADP
awl-420	207	4	men	man	NOUN
awl-420	207	5	and	and	CCONJ
awl-420	207	6	women	woman	NOUN
awl-420	207	7	would	would	AUX
awl-420	207	8	reduce	reduce	VERB
awl-420	207	9	poverty	poverty	NOUN
awl-420	207	10	for	for	ADP
awl-420	207	11	working	work	VERB
awl-420	207	12	women	woman	NOUN
awl-420	207	13	from	from	ADP
awl-420	207	14	8.2	8.2	NUM
awl-420	207	15	%	%	NOUN
awl-420	207	16	to	to	PART
awl-420	207	17	4	4	NUM
awl-420	207	18	%	%	NOUN
awl-420	207	19	.	.	PUNCT
awl-420	208	1	each	each	PRON
awl-420	208	2	of	of	ADP
awl-420	208	3	the	the	DET
awl-420	208	4	50	50	NUM
awl-420	208	5	individual	individual	ADJ
awl-420	208	6	states	state	NOUN
awl-420	208	7	would	would	AUX
awl-420	208	8	benefit	benefit	VERB
awl-420	208	9	from	from	ADP
awl-420	208	10	an	an	DET
awl-420	208	11	increase	increase	NOUN
awl-420	208	12	in	in	ADP
awl-420	208	13	funds	fund	NOUN
awl-420	208	14	in	in	ADP
awl-420	208	15	their	their	PRON
awl-420	208	16	economies	economy	NOUN
awl-420	208	17	(	(	PUNCT
awl-420	208	18	status	status	NOUN
awl-420	208	19	of	of	ADP
awl-420	208	20	women	woman	NOUN
awl-420	208	21	,	,	PUNCT
awl-420	208	22	2020	2020	NUM
awl-420	208	23	)	)	PUNCT
awl-420	208	24	.	.	PUNCT
awl-420	209	1	another	another	DET
awl-420	209	2	negative	negative	ADJ
awl-420	209	3	effect	effect	NOUN
awl-420	209	4	of	of	ADP
awl-420	209	5	gender	gender	NOUN
awl-420	209	6	wage	wage	NOUN
awl-420	209	7	inequality	inequality	NOUN
awl-420	209	8	is	be	AUX
awl-420	209	9	that	that	SCONJ
awl-420	209	10	gender	gender	NOUN
awl-420	209	11	pay	pay	NOUN
awl-420	209	12	equity	equity	NOUN
awl-420	209	13	contributes	contribute	VERB
awl-420	209	14	to	to	ADP
awl-420	209	15	increased	increase	VERB
awl-420	209	16	rates	rate	NOUN
awl-420	209	17	of	of	ADP
awl-420	209	18	anxiety	anxiety	NOUN
awl-420	209	19	and	and	CCONJ
awl-420	209	20	depression	depression	NOUN
awl-420	209	21	among	among	ADP
awl-420	209	22	women	woman	NOUN
awl-420	209	23	(	(	PUNCT
awl-420	209	24	platt	platt	PROPN
awl-420	209	25	et	et	PROPN
awl-420	209	26	al	al	PROPN
awl-420	209	27	.	.	PROPN
awl-420	209	28	,	,	PUNCT
awl-420	209	29	2016	2016	NUM
awl-420	209	30	)	)	PUNCT
awl-420	209	31	.	.	PUNCT
awl-420	210	1	in	in	ADP
awl-420	210	2	a	a	DET
awl-420	210	3	partnership	partnership	NOUN
awl-420	210	4	with	with	ADP
awl-420	210	5	the	the	DET
awl-420	210	6	center	center	NOUN
awl-420	210	7	for	for	ADP
awl-420	210	8	workplace	workplace	NOUN
awl-420	210	9	mental	mental	ADJ
awl-420	210	10	health	health	NOUN
awl-420	210	11	,	,	PUNCT
awl-420	210	12	the	the	DET
awl-420	210	13	american	american	PROPN
awl-420	210	14	psychiatric	psychiatric	PROPN
awl-420	210	15	association	association	PROPN
awl-420	210	16	expressed	express	VERB
awl-420	210	17	significant	significant	ADJ
awl-420	210	18	concern	concern	NOUN
awl-420	210	19	on	on	ADP
awl-420	210	20	the	the	DET
awl-420	210	21	topic	topic	NOUN
awl-420	210	22	of	of	ADP
awl-420	210	23	gender	gender	NOUN
awl-420	210	24	pay	pay	NOUN
awl-420	210	25	equity	equity	NOUN
awl-420	210	26	.	.	PUNCT
awl-420	211	1	the	the	DET
awl-420	211	2	president	president	NOUN
awl-420	211	3	of	of	ADP
awl-420	211	4	the	the	DET
awl-420	211	5	american	american	PROPN
awl-420	211	6	psychiatric	psychiatric	PROPN
awl-420	211	7	association	association	PROPN
awl-420	211	8	,	,	PUNCT
awl-420	211	9	renee	renee	PROPN
awl-420	211	10	binder	binder	PROPN
awl-420	211	11	,	,	PUNCT
awl-420	211	12	md	md	PROPN
awl-420	211	13	,	,	PUNCT
awl-420	211	14	stated	state	VERB
awl-420	211	15	that	that	SCONJ
awl-420	211	16	gender	gender	NOUN
awl-420	211	17	pay	pay	NOUN
awl-420	211	18	equity	equity	NOUN
awl-420	211	19	is	be	AUX
awl-420	211	20	more	more	ADV
awl-420	211	21	impactful	impactful	ADJ
awl-420	211	22	than	than	ADP
awl-420	211	23	economic	economic	ADJ
awl-420	211	24	issues	issue	NOUN
awl-420	211	25	and	and	CCONJ
awl-420	211	26	contributes	contribute	VERB
awl-420	211	27	to	to	ADP
awl-420	211	28	mental	mental	ADJ
awl-420	211	29	disorders	disorder	NOUN
awl-420	211	30	(	(	PUNCT
awl-420	211	31	american	american	PROPN
awl-420	211	32	psychiatric	psychiatric	PROPN
awl-420	211	33	association	association	PROPN
awl-420	211	34	,	,	PUNCT
awl-420	211	35	2020	2020	NUM
awl-420	211	36	)	)	PUNCT
awl-420	211	37	.	.	PUNCT
awl-420	212	1	researchers	researcher	NOUN
awl-420	212	2	have	have	AUX
awl-420	212	3	shown	show	VERB
awl-420	212	4	that	that	SCONJ
awl-420	212	5	income	income	NOUN
awl-420	212	6	inequality	inequality	NOUN
awl-420	212	7	increases	increase	VERB
awl-420	212	8	the	the	DET
awl-420	212	9	risk	risk	NOUN
awl-420	212	10	of	of	ADP
awl-420	212	11	obesity	obesity	NOUN
awl-420	212	12	and	and	CCONJ
awl-420	212	13	heart	heart	NOUN
awl-420	212	14	attack	attack	NOUN
awl-420	212	15	(	(	PUNCT
awl-420	212	16	pabayo	pabayo	VERB
awl-420	212	17	et	et	PROPN
awl-420	212	18	al	al	PROPN
awl-420	212	19	.	.	PROPN
awl-420	212	20	,	,	PUNCT
awl-420	212	21	2018	2018	NUM
awl-420	212	22	)	)	PUNCT
awl-420	212	23	.	.	PUNCT
awl-420	213	1	scholars	scholar	NOUN
awl-420	213	2	have	have	AUX
awl-420	213	3	suggested	suggest	VERB
awl-420	213	4	that	that	SCONJ
awl-420	213	5	gender	gender	NOUN
awl-420	213	6	pay	pay	NOUN
awl-420	213	7	equity	equity	NOUN
awl-420	213	8	is	be	AUX
awl-420	213	9	significantly	significantly	ADV
awl-420	213	10	based	base	VERB
awl-420	213	11	on	on	ADP
awl-420	213	12	the	the	DET
awl-420	213	13	state	state	NOUN
awl-420	213	14	of	of	ADP
awl-420	213	15	the	the	DET
awl-420	213	16	united	united	PROPN
awl-420	213	17	states	states	PROPN
awl-420	213	18	;	;	PUNCT
awl-420	213	19	therefore	therefore	ADV
awl-420	213	20	,	,	PUNCT
awl-420	213	21	more	more	ADJ
awl-420	213	22	resources	resource	NOUN
awl-420	213	23	can	can	AUX
awl-420	213	24	be	be	AUX
awl-420	213	25	implemented	implement	VERB
awl-420	213	26	in	in	ADP
awl-420	213	27	areas	area	NOUN
awl-420	213	28	of	of	ADP
awl-420	213	29	need	need	NOUN
awl-420	213	30	.	.	PUNCT
awl-420	214	1	such	such	ADJ
awl-420	214	2	resources	resource	NOUN
awl-420	214	3	can	can	AUX
awl-420	214	4	include	include	VERB
awl-420	214	5	money	money	NOUN
awl-420	214	6	,	,	PUNCT
awl-420	214	7	economic	economic	ADJ
awl-420	214	8	pressure	pressure	NOUN
awl-420	214	9	,	,	PUNCT
awl-420	214	10	social	social	ADJ
awl-420	214	11	pressure	pressure	NOUN
awl-420	214	12	,	,	PUNCT
awl-420	214	13	and	and	CCONJ
awl-420	214	14	education	education	NOUN
awl-420	214	15	.	.	PUNCT
awl-420	215	1	because	because	SCONJ
awl-420	215	2	gender	gender	NOUN
awl-420	215	3	pay	pay	NOUN
awl-420	215	4	equity	equity	NOUN
awl-420	215	5	has	have	VERB
awl-420	215	6	significant	significant	ADJ
awl-420	215	7	adverse	adverse	ADJ
awl-420	215	8	health	health	NOUN
awl-420	215	9	effects	effect	NOUN
awl-420	215	10	,	,	PUNCT
awl-420	215	11	there	there	PRON
awl-420	215	12	is	be	VERB
awl-420	215	13	a	a	DET
awl-420	215	14	need	need	NOUN
awl-420	215	15	to	to	PART
awl-420	215	16	increase	increase	VERB
awl-420	215	17	the	the	DET
awl-420	215	18	country	country	NOUN
awl-420	215	19	's	's	PART
awl-420	215	20	mental	mental	ADJ
awl-420	215	21	and	and	CCONJ
awl-420	215	22	physical	physical	ADJ
awl-420	215	23	health	health	NOUN
awl-420	215	24	resources	resource	NOUN
awl-420	215	25	.	.	PUNCT
awl-420	216	1	federal	federal	ADJ
awl-420	216	2	funding	funding	NOUN
awl-420	216	3	can	can	AUX
awl-420	216	4	be	be	AUX
awl-420	216	5	withheld	withhold	VERB
awl-420	216	6	from	from	ADP
awl-420	216	7	states	state	NOUN
awl-420	216	8	for	for	ADP
awl-420	216	9	not	not	PART
awl-420	216	10	following	follow	VERB
awl-420	216	11	federal	federal	ADJ
awl-420	216	12	laws	law	NOUN
awl-420	216	13	.	.	PUNCT
awl-420	217	1	110	110	NUM
awl-420	217	2	advancing	advance	VERB
awl-420	217	3	women	woman	NOUN
awl-420	217	4	in	in	ADP
awl-420	217	5	leadership	leadership	NOUN
awl-420	217	6	journal	journal	NOUN
awl-420	217	7	-	-	PUNCT
awl-420	217	8	volume	volume	NOUN
awl-420	217	9	41	41	NUM
awl-420	217	10	future	future	ADJ
awl-420	217	11	implications	implication	NOUN
awl-420	217	12	the	the	DET
awl-420	217	13	implications	implication	NOUN
awl-420	217	14	of	of	ADP
awl-420	217	15	finding	find	VERB
awl-420	217	16	out	out	ADP
awl-420	217	17	that	that	SCONJ
awl-420	217	18	states	state	NOUN
awl-420	217	19	have	have	AUX
awl-420	217	20	not	not	PART
awl-420	217	21	adhered	adhere	VERB
awl-420	217	22	to	to	ADP
awl-420	217	23	previous	previous	ADJ
awl-420	217	24	legislation	legislation	NOUN
awl-420	217	25	will	will	AUX
awl-420	217	26	create	create	VERB
awl-420	217	27	challenging	challenging	ADJ
awl-420	217	28	questions	question	NOUN
awl-420	217	29	.	.	PUNCT
awl-420	218	1	negative	negative	ADJ
awl-420	218	2	findings	finding	NOUN
awl-420	218	3	could	could	AUX
awl-420	218	4	cause	cause	VERB
awl-420	218	5	a	a	DET
awl-420	218	6	halt	halt	NOUN
awl-420	218	7	in	in	ADP
awl-420	218	8	billions	billion	NOUN
awl-420	218	9	of	of	ADP
awl-420	218	10	dollars	dollar	NOUN
awl-420	218	11	of	of	ADP
awl-420	218	12	federal	federal	ADJ
awl-420	218	13	funds	fund	NOUN
awl-420	218	14	.	.	PUNCT
awl-420	219	1	federal	federal	ADJ
awl-420	219	2	funding	funding	NOUN
awl-420	219	3	is	be	AUX
awl-420	219	4	meant	mean	VERB
awl-420	219	5	to	to	PART
awl-420	219	6	assist	assist	VERB
awl-420	219	7	the	the	DET
awl-420	219	8	state	state	NOUN
awl-420	219	9	in	in	ADP
awl-420	219	10	infrastructure	infrastructure	NOUN
awl-420	219	11	,	,	PUNCT
awl-420	219	12	education	education	NOUN
awl-420	219	13	,	,	PUNCT
awl-420	219	14	relief	relief	NOUN
awl-420	219	15	,	,	PUNCT
awl-420	219	16	and	and	CCONJ
awl-420	219	17	economic	economic	ADJ
awl-420	219	18	benefits	benefit	NOUN
awl-420	219	19	.	.	PUNCT
awl-420	220	1	this	this	PRON
awl-420	220	2	completed	complete	VERB
awl-420	220	3	dataset	dataset	NOUN
awl-420	220	4	will	will	AUX
awl-420	220	5	provide	provide	VERB
awl-420	220	6	practical	practical	ADJ
awl-420	220	7	applications	application	NOUN
awl-420	220	8	as	as	ADP
awl-420	220	9	the	the	DET
awl-420	220	10	blueprint	blueprint	NOUN
awl-420	220	11	of	of	ADP
awl-420	220	12	gender	gender	NOUN
awl-420	220	13	pay	pay	NOUN
awl-420	220	14	equity	equity	NOUN
awl-420	220	15	,	,	PUNCT
awl-420	220	16	providing	provide	VERB
awl-420	220	17	americans	americans	PROPN
awl-420	220	18	information	information	NOUN
awl-420	220	19	to	to	PART
awl-420	220	20	apply	apply	VERB
awl-420	220	21	legislation	legislation	NOUN
awl-420	220	22	and	and	CCONJ
awl-420	220	23	political	political	ADJ
awl-420	220	24	pressure	pressure	NOUN
awl-420	220	25	for	for	ADP
awl-420	220	26	change	change	NOUN
awl-420	220	27	and	and	CCONJ
awl-420	220	28	benefit	benefit	VERB
awl-420	220	29	74.6	74.6	NUM
awl-420	220	30	million	million	NUM
awl-420	220	31	american	american	ADJ
awl-420	220	32	women	woman	NOUN
awl-420	220	33	workers	worker	NOUN
awl-420	220	34	.	.	PUNCT
awl-420	221	1	states	state	NOUN
awl-420	221	2	of	of	ADP
awl-420	221	3	the	the	DET
awl-420	221	4	united	united	PROPN
awl-420	221	5	states	states	PROPN
awl-420	221	6	are	be	AUX
awl-420	221	7	not	not	PART
awl-420	221	8	protecting	protect	VERB
awl-420	221	9	the	the	DET
awl-420	221	10	women	woman	NOUN
awl-420	221	11	that	that	PRON
awl-420	221	12	live	live	VERB
awl-420	221	13	within	within	ADP
awl-420	221	14	them	they	PRON
awl-420	221	15	.	.	PUNCT
awl-420	222	1	these	these	DET
awl-420	222	2	women	woman	NOUN
awl-420	222	3	's	's	PART
awl-420	222	4	mental	mental	ADJ
awl-420	222	5	,	,	PUNCT
awl-420	222	6	physical	physical	ADJ
awl-420	222	7	,	,	PUNCT
awl-420	222	8	social	social	ADJ
awl-420	222	9	,	,	PUNCT
awl-420	222	10	and	and	CCONJ
awl-420	222	11	economic	economic	ADJ
awl-420	222	12	health	health	NOUN
awl-420	222	13	is	be	AUX
awl-420	222	14	negatively	negatively	ADV
awl-420	222	15	affected	affect	VERB
awl-420	222	16	by	by	ADP
awl-420	222	17	gender	gender	NOUN
awl-420	222	18	pay	pay	NOUN
awl-420	222	19	equity	equity	NOUN
awl-420	222	20	.	.	PUNCT
awl-420	223	1	it	it	PRON
awl-420	223	2	has	have	AUX
awl-420	223	3	been	be	AUX
awl-420	223	4	discovered	discover	VERB
awl-420	223	5	that	that	SCONJ
awl-420	223	6	individual	individual	ADJ
awl-420	223	7	states	state	NOUN
awl-420	223	8	are	be	AUX
awl-420	223	9	not	not	PART
awl-420	223	10	protecting	protect	VERB
awl-420	223	11	women	woman	NOUN
awl-420	223	12	workers	worker	NOUN
awl-420	223	13	.	.	PUNCT
awl-420	224	1	the	the	DET
awl-420	224	2	failings	failing	NOUN
awl-420	224	3	of	of	ADP
awl-420	224	4	state	state	NOUN
awl-420	224	5	governments	government	NOUN
awl-420	224	6	,	,	PUNCT
awl-420	224	7	businesses	business	NOUN
awl-420	224	8	,	,	PUNCT
awl-420	224	9	and	and	CCONJ
awl-420	224	10	organizations	organization	NOUN
awl-420	224	11	can	can	AUX
awl-420	224	12	no	no	ADV
awl-420	224	13	longer	long	ADV
awl-420	224	14	go	go	VERB
awl-420	224	15	unnoticed	unnoticed	ADJ
awl-420	224	16	.	.	PUNCT
awl-420	225	1	future	future	ADJ
awl-420	225	2	researchers	researcher	NOUN
awl-420	225	3	have	have	AUX
awl-420	225	4	provided	provide	VERB
awl-420	225	5	the	the	DET
awl-420	225	6	framework	framework	NOUN
awl-420	225	7	for	for	ADP
awl-420	225	8	assessing	assess	VERB
awl-420	225	9	why	why	SCONJ
awl-420	225	10	their	their	PRON
awl-420	225	11	state	state	NOUN
awl-420	225	12	influences	influence	VERB
awl-420	225	13	gender	gender	NOUN
awl-420	225	14	pay	pay	NOUN
awl-420	225	15	equity	equity	NOUN
awl-420	225	16	.	.	PUNCT
awl-420	226	1	more	more	ADJ
awl-420	226	2	state	state	NOUN
awl-420	226	3	and	and	CCONJ
awl-420	226	4	industry	industry	NOUN
awl-420	226	5	-	-	PUNCT
awl-420	226	6	specific	specific	ADJ
awl-420	226	7	research	research	NOUN
awl-420	226	8	can	can	AUX
awl-420	226	9	be	be	AUX
awl-420	226	10	conducted	conduct	VERB
awl-420	226	11	to	to	PART
awl-420	226	12	evaluate	evaluate	VERB
awl-420	226	13	gender	gender	NOUN
awl-420	226	14	pay	pay	NOUN
awl-420	226	15	equity	equity	NOUN
awl-420	226	16	at	at	ADP
awl-420	226	17	the	the	DET
awl-420	226	18	state	state	NOUN
awl-420	226	19	and	and	CCONJ
awl-420	226	20	industry	industry	NOUN
awl-420	226	21	levels	level	NOUN
awl-420	226	22	.	.	PUNCT
awl-420	227	1	declaration	declaration	NOUN
awl-420	227	2	of	of	ADP
awl-420	227	3	conflict	conflict	NOUN
awl-420	227	4	of	of	ADP
awl-420	227	5	interest	interest	NOUN
awl-420	227	6	the	the	DET
awl-420	227	7	author	author	NOUN
awl-420	227	8	declares	declare	VERB
awl-420	227	9	no	no	DET
awl-420	227	10	conflict	conflict	NOUN
awl-420	227	11	of	of	ADP
awl-420	227	12	interest	interest	NOUN
awl-420	227	13	.	.	PUNCT
awl-420	228	1	references	reference	NOUN
awl-420	228	2	adams	adams	PROPN
awl-420	228	3	,	,	PUNCT
awl-420	228	4	j.	j.	PROPN
awl-420	228	5	s.	s.	PROPN
awl-420	228	6	(	(	PUNCT
awl-420	228	7	1965	1965	NUM
awl-420	228	8	)	)	PUNCT
awl-420	228	9	.	.	PUNCT
awl-420	229	1	inequity	inequity	NOUN
awl-420	229	2	in	in	ADP
awl-420	229	3	social	social	ADJ
awl-420	229	4	exchange	exchange	NOUN
awl-420	229	5	.	.	PUNCT
awl-420	230	1	advances	advance	NOUN
awl-420	230	2	in	in	ADP
awl-420	230	3	experimental	experimental	ADJ
awl-420	230	4	social	social	ADJ
awl-420	230	5	psychology	psychology	NOUN
awl-420	230	6	,	,	PUNCT
awl-420	230	7	2	2	NUM
awl-420	230	8	,	,	PUNCT
awl-420	230	9	267	267	NUM
awl-420	230	10	-	-	SYM
awl-420	230	11	299	299	NUM
awl-420	230	12	.	.	PUNCT
awl-420	230	13	https://doi.org/10.1016/s0065-2601(08)60108-2	https://doi.org/10.1016/s0065-2601(08)60108-2	VERB
awl-420	230	14	american	american	PROPN
awl-420	230	15	psychiatric	psychiatric	PROPN
awl-420	230	16	association	association	PROPN
awl-420	230	17	.	.	PUNCT
awl-420	231	1	(	(	PUNCT
awl-420	231	2	2020	2020	NUM
awl-420	231	3	)	)	PUNCT
awl-420	231	4	.	.	PUNCT
awl-420	232	1	gender	gender	NOUN
awl-420	232	2	pay	pay	NOUN
awl-420	232	3	gap	gap	NOUN
awl-420	232	4	contributes	contribute	VERB
awl-420	232	5	to	to	ADP
awl-420	232	6	increased	increase	VERB
awl-420	232	7	rates	rate	NOUN
awl-420	232	8	of	of	ADP
awl-420	232	9	depression	depression	NOUN
awl-420	232	10	and	and	CCONJ
awl-420	232	11	anxiety	anxiety	NOUN
awl-420	232	12	among	among	ADP
awl-420	232	13	women	woman	NOUN
awl-420	232	14	.	.	PUNCT
awl-420	233	1	workplace	workplace	PROPN
awl-420	233	2	mental	mental	ADJ
awl-420	233	3	health	health	NOUN
awl-420	233	4	.	.	PUNCT
awl-420	234	1	https://www.workplacementalhealth.org/mental-healthtopics/depression/gender-pay-gap-contributes-toincreased-rates-of-d	https://www.workplacementalhealth.org/mental-healthtopics/depression/gender-pay-gap-contributes-toincreased-rates-of-d	PROPN
awl-420	234	2	blau	blau	PROPN
awl-420	234	3	,	,	PUNCT
awl-420	234	4	f.	f.	PROPN
awl-420	234	5	d.	d.	PROPN
awl-420	234	6	,	,	PUNCT
awl-420	234	7	&	&	CCONJ
awl-420	234	8	kahn	kahn	PROPN
awl-420	234	9	,	,	PUNCT
awl-420	234	10	l.	l.	PROPN
awl-420	234	11	m.	m.	PROPN
awl-420	234	12	(	(	PUNCT
awl-420	234	13	2017	2017	NUM
awl-420	234	14	)	)	PUNCT
awl-420	234	15	.	.	PUNCT
awl-420	235	1	the	the	DET
awl-420	235	2	gender	gender	NOUN
awl-420	235	3	wage	wage	NOUN
awl-420	235	4	gap	gap	NOUN
awl-420	235	5	:	:	PUNCT
awl-420	235	6	extent	extent	NOUN
awl-420	235	7	,	,	PUNCT
awl-420	235	8	trends	trend	NOUN
awl-420	235	9	,	,	PUNCT
awl-420	235	10	and	and	CCONJ
awl-420	235	11	explanations	explanation	NOUN
awl-420	235	12	.	.	PUNCT
awl-420	236	1	journal	journal	NOUN
awl-420	236	2	of	of	ADP
awl-420	236	3	economic	economic	ADJ
awl-420	236	4	literature	literature	NOUN
awl-420	236	5	,	,	PUNCT
awl-420	236	6	55(3	55(3	PROPN
awl-420	236	7	)	)	PUNCT
awl-420	236	8	,	,	PUNCT
awl-420	236	9	789	789	NUM
awl-420	236	10	-	-	SYM
awl-420	236	11	865	865	NUM
awl-420	236	12	.	.	NUM
awl-420	236	13	burn	burn	NOUN
awl-420	236	14	,	,	PUNCT
awl-420	236	15	i.	i.	PROPN
awl-420	236	16	(	(	PUNCT
awl-420	236	17	2018	2018	NUM
awl-420	236	18	)	)	PUNCT
awl-420	236	19	.	.	PUNCT
awl-420	237	1	not	not	PART
awl-420	237	2	all	all	DET
awl-420	237	3	laws	law	NOUN
awl-420	237	4	are	be	AUX
awl-420	237	5	created	create	VERB
awl-420	237	6	equal	equal	ADJ
awl-420	237	7	:	:	PUNCT
awl-420	237	8	legal	legal	ADJ
awl-420	237	9	differences	difference	NOUN
awl-420	237	10	in	in	ADP
awl-420	237	11	state	state	NOUN
awl-420	237	12	non	non	ADJ
awl-420	237	13	-	-	ADJ
awl-420	237	14	discrimination	discrimination	ADJ
awl-420	237	15	laws	law	NOUN
awl-420	237	16	and	and	CCONJ
awl-420	237	17	the	the	DET
awl-420	237	18	impact	impact	NOUN
awl-420	237	19	of	of	ADP
awl-420	237	20	lgbt	lgbt	PROPN
awl-420	237	21	employment	employment	NOUN
awl-420	237	22	protections	protection	NOUN
awl-420	237	23	.	.	PUNCT
awl-420	238	1	journal	journal	NOUN
awl-420	238	2	of	of	ADP
awl-420	238	3	labor	labor	PROPN
awl-420	238	4	research	research	NOUN
awl-420	238	5	,	,	PUNCT
awl-420	238	6	39(4	39(4	NOUN
awl-420	238	7	)	)	PUNCT
awl-420	238	8	,	,	PUNCT
awl-420	238	9	462	462	NUM
awl-420	238	10	-	-	SYM
awl-420	238	11	497	497	NUM
awl-420	238	12	.	.	PUNCT
awl-420	239	1	https://doi.org/10.1007/s12122-018-92720	https://doi.org/10.1007/s12122-018-92720	NOUN
awl-420	239	2	.	.	PUNCT
awl-420	239	3	cortés	cortés	PROPN
awl-420	239	4	,	,	PUNCT
awl-420	239	5	p.	p.	PROPN
awl-420	239	6	,	,	PUNCT
awl-420	239	7	&	&	CCONJ
awl-420	239	8	pan	pan	PROPN
awl-420	239	9	,	,	PUNCT
awl-420	239	10	j.	j.	PROPN
awl-420	239	11	(	(	PUNCT
awl-420	239	12	2019	2019	NUM
awl-420	239	13	)	)	PUNCT
awl-420	239	14	.	.	PUNCT
awl-420	240	1	when	when	SCONJ
awl-420	240	2	time	time	NOUN
awl-420	240	3	binds	bind	VERB
awl-420	240	4	:	:	PUNCT
awl-420	240	5	substitutes	substitute	NOUN
awl-420	240	6	for	for	ADP
awl-420	240	7	household	household	NOUN
awl-420	240	8	production	production	NOUN
awl-420	240	9	,	,	PUNCT
awl-420	240	10	returns	return	NOUN
awl-420	240	11	to	to	ADP
awl-420	240	12	working	work	VERB
awl-420	240	13	long	long	ADJ
awl-420	240	14	hours	hour	NOUN
awl-420	240	15	,	,	PUNCT
awl-420	240	16	and	and	CCONJ
awl-420	240	17	the	the	DET
awl-420	240	18	skilled	skilled	ADJ
awl-420	240	19	gender	gender	NOUN
awl-420	240	20	wage	wage	NOUN
awl-420	240	21	gap	gap	NOUN
awl-420	240	22	.	.	PUNCT
awl-420	241	1	journal	journal	PROPN
awl-420	241	2	of	of	ADP
awl-420	241	3	labor	labor	NOUN
awl-420	241	4	economics	economic	NOUN
awl-420	241	5	,	,	PUNCT
awl-420	241	6	37(2	37(2	PROPN
awl-420	241	7	)	)	PUNCT
awl-420	241	8	,	,	PUNCT
awl-420	241	9	351	351	NUM
awl-420	241	10	-	-	SYM
awl-420	241	11	398	398	NUM
awl-420	241	12	.	.	PUNCT
awl-420	242	1	https://www.journals.uchicago.edu/doi/abs/10.1086/7001	https://www.journals.uchicago.edu/doi/abs/10.1086/7001	NOUN
awl-420	243	1	85	85	NUM
awl-420	243	2	.	.	PUNCT
awl-420	244	1	dennis	dennis	PROPN
awl-420	244	2	,	,	PUNCT
awl-420	244	3	g.	g.	PROPN
awl-420	244	4	(	(	PUNCT
awl-420	244	5	2016	2016	NUM
awl-420	244	6	)	)	PUNCT
awl-420	244	7	.	.	PUNCT
awl-420	245	1	gender	gender	NOUN
awl-420	245	2	pay	pay	VERB
awl-420	245	3	disparity	disparity	NOUN
awl-420	245	4	among	among	ADP
awl-420	245	5	women	woman	NOUN
awl-420	245	6	.	.	PUNCT
awl-420	246	1	exceptional	exceptional	ADJ
awl-420	246	2	children	child	NOUN
awl-420	246	3	,	,	PUNCT
awl-420	246	4	85(2	85(2	NUM
awl-420	246	5	)	)	PUNCT
awl-420	246	6	,	,	PUNCT
awl-420	246	7	124	124	NUM
awl-420	246	8	.	.	PUNCT
awl-420	247	1	https://doi.org/10.1177/0014402918811447	https://doi.org/10.1177/0014402918811447	PROPN
awl-420	247	2	.	.	PUNCT
awl-420	248	1	dewolf	dewolf	PROPN
awl-420	248	2	,	,	PUNCT
awl-420	248	3	m.	m.	NOUN
awl-420	248	4	(	(	PUNCT
awl-420	248	5	2017	2017	NUM
awl-420	248	6	)	)	PUNCT
awl-420	248	7	.	.	PUNCT
awl-420	249	1	12	12	NUM
awl-420	249	2	stats	stat	NOUN
awl-420	249	3	about	about	ADP
awl-420	249	4	working	work	VERB
awl-420	249	5	women	woman	NOUN
awl-420	249	6	.	.	PUNCT
awl-420	250	1	u.s	u.s	PROPN
awl-420	250	2	.	.	PROPN
awl-420	250	3	department	department	PROPN
awl-420	250	4	of	of	ADP
awl-420	250	5	labor	labor	PROPN
awl-420	250	6	blog	blog	PROPN
awl-420	250	7	.	.	PUNCT
awl-420	251	1	https://blog.dol.gov/2017/03/01/12-stats-about-workingwomen	https://blog.dol.gov/2017/03/01/12-stats-about-workingwoman	NOUN
awl-420	251	2	.	.	PUNCT
awl-420	252	1	fuller	full	ADJ
awl-420	252	2	,	,	PUNCT
awl-420	252	3	s.	s.	PROPN
awl-420	252	4	(	(	PUNCT
awl-420	252	5	2018	2018	NUM
awl-420	252	6	)	)	PUNCT
awl-420	252	7	.	.	PUNCT
awl-420	253	1	using	use	VERB
awl-420	253	2	american	american	ADJ
awl-420	253	3	community	community	NOUN
awl-420	253	4	survey	survey	NOUN
awl-420	253	5	estimates	estimate	NOUN
awl-420	253	6	and	and	CCONJ
awl-420	253	7	margins	margin	NOUN
awl-420	253	8	of	of	ADP
awl-420	253	9	error	error	NOUN
awl-420	253	10	u.s	u.s	PROPN
awl-420	253	11	.	.	PROPN
awl-420	253	12	census	census	PROPN
awl-420	253	13	bureau	bureau	PROPN
awl-420	253	14	,	,	PUNCT
awl-420	253	15	decennial	decennial	ADJ
awl-420	253	16	statistical	statistical	ADJ
awl-420	253	17	studies	study	NOUN
awl-420	253	18	division	division	NOUN
awl-420	253	19	.	.	PUNCT
awl-420	254	1	https://www.census.gov/content/dam/census/programssurveys/acs/guidance/trainingpresentations/20180418_moe_webinar_transcript.pdf	https://www.census.gov/content/dam/census/programssurveys/acs/guidance/trainingpresentations/20180418_moe_webinar_transcript.pdf	PROPN
awl-420	254	2	.	.	PROPN
awl-420	254	3	geoghegan	geoghegan	PROPN
awl-420	254	4	,	,	PUNCT
awl-420	254	5	f.	f.	PROPN
awl-420	254	6	j.	j.	PROPN
awl-420	254	7	(	(	PUNCT
awl-420	254	8	2018	2018	NUM
awl-420	254	9	)	)	PUNCT
awl-420	254	10	.	.	PUNCT
awl-420	255	1	the	the	DET
awl-420	255	2	gender	gender	NOUN
awl-420	255	3	wage	wage	NOUN
awl-420	255	4	gap	gap	NOUN
awl-420	255	5	:	:	PUNCT
awl-420	255	6	how	how	SCONJ
awl-420	255	7	paid	pay	VERB
awl-420	255	8	family	family	NOUN
awl-420	255	9	leave	leave	NOUN
awl-420	255	10	affects	affect	VERB
awl-420	255	11	women	woman	NOUN
awl-420	255	12	of	of	ADP
awl-420	255	13	childbearing	childbeare	VERB
awl-420	255	14	age	age	NOUN
awl-420	255	15	[	[	X
awl-420	255	16	master	master	NOUN
awl-420	255	17	's	's	PART
awl-420	255	18	thesis	thesis	NOUN
awl-420	255	19	,	,	PUNCT
awl-420	255	20	georgetown	georgetown	PROPN
awl-420	255	21	university	university	PROPN
awl-420	255	22	]	]	PUNCT
awl-420	255	23	.	.	PUNCT
awl-420	256	1	proquest	proquest	PROPN
awl-420	256	2	dissertations	dissertations	PROPN
awl-420	256	3	&	&	CCONJ
awl-420	256	4	theses	theses	PROPN
awl-420	256	5	global	global	PROPN
awl-420	256	6	.	.	PUNCT
awl-420	257	1	goldin	goldin	PROPN
awl-420	257	2	,	,	PUNCT
awl-420	257	3	c.	c.	PROPN
awl-420	257	4	(	(	PUNCT
awl-420	257	5	2017	2017	NUM
awl-420	257	6	)	)	PUNCT
awl-420	257	7	.	.	PUNCT
awl-420	258	1	the	the	DET
awl-420	258	2	expanding	expand	VERB
awl-420	258	3	gender	gender	NOUN
awl-420	258	4	earnings	earning	NOUN
awl-420	258	5	gap	gap	NOUN
awl-420	258	6	.	.	PUNCT
awl-420	259	1	american	american	PROPN
awl-420	259	2	economic	economic	PROPN
awl-420	259	3	review	review	PROPN
awl-420	259	4	,	,	PUNCT
awl-420	259	5	107(5	107(5	NUM
awl-420	259	6	)	)	PUNCT
awl-420	259	7	,	,	PUNCT
awl-420	259	8	110	110	NUM
awl-420	259	9	-	-	SYM
awl-420	259	10	114	114	NUM
awl-420	259	11	.	.	PUNCT
awl-420	260	1	https://doi.org/10.1257/aer.p20171065	https://doi.org/10.1257/aer.p20171065	PROPN
awl-420	260	2	lobel	lobel	PROPN
awl-420	260	3	,	,	PUNCT
awl-420	260	4	o.	o.	PROPN
awl-420	260	5	(	(	PUNCT
awl-420	260	6	2020	2020	NUM
awl-420	260	7	)	)	PUNCT
awl-420	260	8	.	.	PUNCT
awl-420	261	1	knowledge	knowledge	NOUN
awl-420	261	2	pays	pay	VERB
awl-420	261	3	:	:	PUNCT
awl-420	261	4	reversing	reverse	VERB
awl-420	261	5	information	information	NOUN
awl-420	261	6	flows	flow	NOUN
awl-420	261	7	and	and	CCONJ
awl-420	261	8	the	the	DET
awl-420	261	9	future	future	NOUN
awl-420	261	10	of	of	ADP
awl-420	261	11	pay	pay	NOUN
awl-420	261	12	equity	equity	NOUN
awl-420	261	13	.	.	PUNCT
awl-420	262	1	columbia	columbia	PROPN
awl-420	262	2	law	law	PROPN
awl-420	262	3	review	review	PROPN
awl-420	262	4	,	,	PUNCT
awl-420	262	5	120(3	120(3	NUM
awl-420	262	6	)	)	PUNCT
awl-420	262	7	,	,	PUNCT
awl-420	262	8	547	547	NUM
awl-420	262	9	-	-	SYM
awl-420	262	10	611	611	NUM
awl-420	262	11	.	.	PUNCT
awl-420	263	1	obloj	obloj	ADJ
awl-420	263	2	,	,	PUNCT
awl-420	263	3	t.	t.	PROPN
awl-420	263	4	,	,	PUNCT
awl-420	263	5	&	&	CCONJ
awl-420	263	6	zenger	zenger	PROPN
awl-420	263	7	,	,	PUNCT
awl-420	263	8	t.	t.	PROPN
awl-420	263	9	(	(	PUNCT
awl-420	263	10	2022	2022	NUM
awl-420	263	11	.	.	PUNCT
awl-420	264	1	the	the	DET
awl-420	264	2	influence	influence	NOUN
awl-420	264	3	of	of	ADP
awl-420	264	4	pay	pay	VERB
awl-420	264	5	transparency	transparency	NOUN
awl-420	264	6	on	on	ADP
awl-420	264	7	inequity	inequity	NOUN
awl-420	264	8	,	,	PUNCT
awl-420	264	9	inequality	inequality	NOUN
awl-420	264	10	,	,	PUNCT
awl-420	264	11	and	and	CCONJ
awl-420	264	12	the	the	DET
awl-420	264	13	performance	performance	NOUN
awl-420	264	14	-	-	PUNCT
awl-420	264	15	basis	basis	NOUN
awl-420	264	16	of	of	ADP
awl-420	264	17	pay	pay	NOUN
awl-420	264	18	in	in	ADP
awl-420	264	19	organizations	organization	NOUN
awl-420	264	20	.	.	PUNCT
awl-420	265	1	national	national	ADJ
awl-420	265	2	human	human	ADJ
awl-420	265	3	behavior	behavior	PROPN
awl-420	265	4	,	,	PUNCT
awl-420	265	5	.	.	PUNCT
awl-420	266	1	6(5):646	6(5):646	X
awl-420	266	2	-	-	SYM
awl-420	266	3	655	655	NUM
awl-420	266	4	.	.	PUNCT
awl-420	267	1	doi	doi	NOUN
awl-420	267	2	:	:	PUNCT
awl-420	267	3	10.1038	10.1038	NUM
awl-420	267	4	/	/	SYM
awl-420	267	5	s41562022	s41562022	NOUN
awl-420	267	6	-	-	NOUN
awl-420	267	7	01288	01288	NUM
awl-420	267	8	-	-	SYM
awl-420	267	9	9	9	NUM
awl-420	267	10	.	.	PUNCT
awl-420	268	1	pabayo	pabayo	PROPN
awl-420	268	2	,	,	PUNCT
awl-420	268	3	r.	r.	PROPN
awl-420	268	4	,	,	PUNCT
awl-420	268	5	fuller	full	ADJ
awl-420	268	6	,	,	PUNCT
awl-420	268	7	d.	d.	PROPN
awl-420	268	8	,	,	PUNCT
awl-420	268	9	lee	lee	PROPN
awl-420	268	10	,	,	PUNCT
awl-420	268	11	e.	e.	PROPN
awl-420	268	12	,	,	PUNCT
awl-420	268	13	horino	horino	PROPN
awl-420	268	14	,	,	PUNCT
awl-420	268	15	m.	m.	NOUN
awl-420	268	16	,	,	PUNCT
awl-420	268	17	&	&	CCONJ
awl-420	268	18	kawachi	kawachi	PROPN
awl-420	268	19	,	,	PUNCT
awl-420	268	20	i.	i.	NOUN
awl-420	268	21	(	(	PUNCT
awl-420	268	22	2018	2018	NUM
awl-420	268	23	)	)	PUNCT
awl-420	268	24	.	.	PUNCT
awl-420	269	1	state	state	NOUN
awl-420	269	2	-	-	PUNCT
awl-420	269	3	level	level	NOUN
awl-420	269	4	income	income	NOUN
awl-420	269	5	inequality	inequality	NOUN
awl-420	269	6	and	and	CCONJ
awl-420	269	7	meeting	meet	VERB
awl-420	269	8	physical	physical	ADJ
awl-420	269	9	activity	activity	NOUN
awl-420	269	10	guidelines	guideline	NOUN
awl-420	269	11	:	:	PUNCT
awl-420	269	12	differential	differential	ADJ
awl-420	269	13	associations	association	NOUN
awl-420	269	14	among	among	ADP
awl-420	269	15	u.s	u.s	PROPN
awl-420	269	16	.	.	PROPN
awl-420	269	17	men	man	NOUN
awl-420	269	18	and	and	CCONJ
awl-420	269	19	women	woman	NOUN
awl-420	269	20	.	.	PUNCT
awl-420	270	1	journal	journal	PROPN
awl-420	270	2	of	of	ADP
awl-420	270	3	public	public	ADJ
awl-420	270	4	health	health	NOUN
awl-420	270	5	,	,	PUNCT
awl-420	270	6	40(2	40(2	NUM
awl-420	270	7	)	)	PUNCT
awl-420	270	8	,	,	PUNCT
awl-420	270	9	229	229	NUM
awl-420	270	10	-	-	SYM
awl-420	270	11	236	236	NUM
awl-420	270	12	.	.	PUNCT
awl-420	271	1	https://doi.org/10.1093/pubmed/fdx082	https://doi.org/10.1093/pubmed/fdx082	PROPN
awl-420	271	2	.	.	PUNCT
awl-420	272	1	phillips	phillips	PROPN
awl-420	272	2	,	,	PUNCT
awl-420	272	3	a.	a.	PROPN
awl-420	272	4	n.	n.	PROPN
awl-420	272	5	(	(	PUNCT
awl-420	272	6	2018	2018	NUM
awl-420	272	7	)	)	PUNCT
awl-420	272	8	.	.	PUNCT
awl-420	273	1	promulgating	promulgate	VERB
awl-420	273	2	parity	parity	NOUN
awl-420	273	3	:	:	PUNCT
awl-420	273	4	an	an	DET
awl-420	273	5	argument	argument	NOUN
awl-420	273	6	for	for	ADP
awl-420	273	7	a	a	DET
awl-420	273	8	states	state	NOUN
awl-420	273	9	-	-	PUNCT
awl-420	273	10	based	base	VERB
awl-420	273	11	approach	approach	NOUN
awl-420	273	12	to	to	ADP
awl-420	273	13	valuing	value	VERB
awl-420	273	14	women	woman	NOUN
awl-420	273	15	's	's	PART
awl-420	273	16	work	work	NOUN
awl-420	273	17	and	and	CCONJ
awl-420	273	18	ensuring	ensure	VERB
awl-420	273	19	pay	pay	NOUN
awl-420	273	20	equity	equity	NOUN
awl-420	273	21	in	in	ADP
awl-420	273	22	the	the	DET
awl-420	273	23	united	united	PROPN
awl-420	273	24	states	states	PROPN
awl-420	273	25	.	.	PUNCT
awl-420	274	1	tulane	tulane	PROPN
awl-420	274	2	law	law	PROPN
awl-420	274	3	review	review	PROPN
awl-420	274	4	,	,	PUNCT
awl-420	274	5	92(3	92(3	NUM
awl-420	274	6	)	)	PUNCT
awl-420	274	7	,	,	PUNCT
awl-420	274	8	719	719	NUM
awl-420	274	9	-	-	SYM
awl-420	274	10	743	743	NUM
awl-420	274	11	.	.	PUNCT
awl-420	275	1	https://www.tulanelawreview.org/.	https://www.tulanelawreview.org/.	PROPN
awl-420	275	2	platt	platt	PROPN
awl-420	275	3	,	,	PUNCT
awl-420	275	4	j.	j.	PROPN
awl-420	275	5	,	,	PUNCT
awl-420	275	6	prins	prins	PROPN
awl-420	275	7	,	,	PUNCT
awl-420	275	8	s.	s.	PROPN
awl-420	275	9	,	,	PUNCT
awl-420	275	10	bates	bates	PROPN
awl-420	275	11	,	,	PUNCT
awl-420	275	12	l.	l.	PROPN
awl-420	275	13	,	,	PUNCT
awl-420	275	14	&	&	CCONJ
awl-420	275	15	keyes	keyes	PROPN
awl-420	275	16	,	,	PUNCT
awl-420	275	17	k.	k.	PROPN
awl-420	275	18	(	(	PUNCT
awl-420	275	19	2016	2016	NUM
awl-420	275	20	)	)	PUNCT
awl-420	275	21	.	.	PUNCT
awl-420	276	1	unequal	unequal	ADJ
awl-420	276	2	depression	depression	NOUN
awl-420	276	3	for	for	ADP
awl-420	276	4	equal	equal	ADJ
awl-420	276	5	work	work	NOUN
awl-420	276	6	?	?	PUNCT
awl-420	277	1	how	how	SCONJ
awl-420	277	2	the	the	DET
awl-420	277	3	wage	wage	NOUN
awl-420	277	4	gap	gap	NOUN
awl-420	277	5	explains	explain	VERB
awl-420	277	6	gendered	gendere	VERB
awl-420	277	7	disparities	disparity	NOUN
awl-420	277	8	in	in	ADP
awl-420	277	9	mood	mood	NOUN
awl-420	277	10	disorders	disorder	NOUN
awl-420	277	11	.	.	PUNCT
awl-420	278	1	social	social	ADJ
awl-420	278	2	science	science	PROPN
awl-420	278	3	&	&	CCONJ
awl-420	278	4	medicine	medicine	NOUN
awl-420	278	5	,	,	PUNCT
awl-420	278	6	149	149	NUM
awl-420	278	7	,	,	PUNCT
awl-420	278	8	1	1	NUM
awl-420	278	9	-	-	SYM
awl-420	278	10	8	8	NUM
awl-420	278	11	.	.	PUNCT
awl-420	278	12	https://doi.org/10.1016/j.socscimed.2015.11.056	https://doi.org/10.1016/j.socscimed.2015.11.056	PROPN
awl-420	278	13	.	.	PUNCT
awl-420	279	1	rosado	rosado	NOUN
awl-420	279	2	,	,	PUNCT
awl-420	279	3	o.	o.	NOUN
awl-420	279	4	m.	m.	NOUN
awl-420	279	5	(	(	PUNCT
awl-420	279	6	2018	2018	NUM
awl-420	279	7	)	)	PUNCT
awl-420	279	8	.	.	PUNCT
awl-420	280	1	trends	trend	NOUN
awl-420	280	2	in	in	ADP
awl-420	280	3	gender	gender	NOUN
awl-420	280	4	wage	wage	NOUN
awl-420	280	5	gaps	gap	NOUN
awl-420	280	6	:	:	PUNCT
awl-420	280	7	a	a	DET
awl-420	280	8	qualitative	qualitative	ADJ
awl-420	280	9	study	study	NOUN
awl-420	280	10	[	[	X
awl-420	280	11	doctoral	doctoral	ADJ
awl-420	280	12	dissertation	dissertation	NOUN
awl-420	280	13	,	,	PUNCT
awl-420	280	14	northcentral	northcentral	ADJ
awl-420	280	15	university	university	NOUN
awl-420	280	16	]	]	PUNCT
awl-420	280	17	.	.	PUNCT
awl-420	281	1	proquest	proquest	PROPN
awl-420	281	2	dissertations	dissertations	PROPN
awl-420	281	3	&	&	CCONJ
awl-420	281	4	theses	theses	PROPN
awl-420	281	5	global	global	PROPN
awl-420	281	6	.	.	PUNCT
awl-420	281	7	schulze	schulze	PROPN
awl-420	281	8	,	,	PUNCT
awl-420	281	9	e.	e.	PROPN
awl-420	281	10	(	(	PUNCT
awl-420	281	11	2018	2018	NUM
awl-420	281	12	)	)	PUNCT
awl-420	281	13	.	.	PUNCT
awl-420	282	1	closing	close	VERB
awl-420	282	2	the	the	DET
awl-420	282	3	gender	gender	NOUN
awl-420	282	4	pay	pay	NOUN
awl-420	282	5	gap	gap	NOUN
awl-420	282	6	could	could	AUX
awl-420	282	7	have	have	VERB
awl-420	282	8	big	big	ADJ
awl-420	282	9	economic	economic	ADJ
awl-420	282	10	benefits	benefit	NOUN
awl-420	282	11	.	.	PUNCT
awl-420	283	1	cnbc	cnbc	PROPN
awl-420	283	2	.	.	PUNCT
awl-420	284	1	https://www.cnbc.com/2018/03/08/closing-the-genderpay-gap-could-have-big-economic-benefits.html	https://www.cnbc.com/2018/03/08/closing-the-genderpay-gap-could-have-big-economic-benefits.html	X
awl-420	284	2	.	.	PUNCT
awl-420	285	1	smit	smit	PROPN
awl-420	285	2	,	,	PUNCT
awl-420	285	3	b.	b.	PROPN
awl-420	285	4	w.	w.	PROPN
awl-420	285	5	,	,	PUNCT
awl-420	285	6	&	&	CCONJ
awl-420	285	7	montag	montag	PROPN
awl-420	285	8	-	-	PUNCT
awl-420	285	9	smit	smit	PROPN
awl-420	285	10	,	,	PUNCT
awl-420	285	11	t.	t.	PROPN
awl-420	285	12	(	(	PUNCT
awl-420	285	13	2019	2019	NUM
awl-420	285	14	)	)	PUNCT
awl-420	285	15	.	.	PUNCT
awl-420	286	1	the	the	DET
awl-420	286	2	pay	pay	NOUN
awl-420	286	3	transparency	transparency	NOUN
awl-420	286	4	dilemma	dilemma	NOUN
awl-420	286	5	:	:	PUNCT
awl-420	286	6	development	development	NOUN
awl-420	286	7	and	and	CCONJ
awl-420	286	8	validation	validation	NOUN
awl-420	286	9	of	of	ADP
awl-420	286	10	the	the	DET
awl-420	286	11	pay	pay	NOUN
awl-420	286	12	information	information	NOUN
awl-420	286	13	exchange	exchange	NOUN
awl-420	286	14	preferences	preference	NOUN
awl-420	286	15	scale	scale	NOUN
awl-420	286	16	.	.	PUNCT
awl-420	287	1	journal	journal	NOUN
awl-420	287	2	of	of	ADP
awl-420	287	3	applied	apply	VERB
awl-420	287	4	psychology	psychology	NOUN
awl-420	287	5	,	,	PUNCT
awl-420	287	6	104(4	104(4	NUM
awl-420	287	7	)	)	PUNCT
awl-420	287	8	,	,	PUNCT
awl-420	287	9	537	537	NUM
awl-420	287	10	-	-	SYM
awl-420	287	11	558	558	NUM
awl-420	287	12	.	.	PUNCT
awl-420	288	1	https://doi.org/10.1037/apl0000355	https://doi.org/10.1037/apl0000355	PROPN
awl-420	288	2	.	.	PUNCT
awl-420	288	3	sowadski	sowadski	PROPN
awl-420	288	4	,	,	PUNCT
awl-420	288	5	r.	r.	PROPN
awl-420	288	6	(	(	PUNCT
awl-420	288	7	2021	2021	NUM
awl-420	288	8	)	)	PUNCT
awl-420	288	9	.	.	PUNCT
awl-420	289	1	gender	gender	NOUN
awl-420	289	2	-	-	PUNCT
awl-420	289	3	related	relate	VERB
awl-420	289	4	pay	pay	NOUN
awl-420	289	5	equity	equity	NOUN
awl-420	289	6	by	by	ADP
awl-420	289	7	state	state	NOUN
awl-420	289	8	and	and	CCONJ
awl-420	289	9	industry	industry	NOUN
awl-420	289	10	[	[	X
awl-420	289	11	doctoral	doctoral	ADJ
awl-420	289	12	dissertation	dissertation	NOUN
awl-420	289	13	,	,	PUNCT
awl-420	289	14	grand	grand	ADJ
awl-420	289	15	canyon	canyon	NOUN
awl-420	289	16	university	university	PROPN
awl-420	289	17	]	]	PUNCT
awl-420	289	18	.	.	PUNCT
awl-420	290	1	https://www.proquest.com/openview/c4750440883351fc7	https://www.proquest.com/openview/c4750440883351fc7	PROPN
awl-420	290	2	e7dc26026917f75/1?pqorigsite	e7dc26026917f75/1?pqorigsite	ADJ
awl-420	290	3	=	=	SYM
awl-420	290	4	gscholar&cbl=18750&diss	gscholar&cbl=18750&diss	X
awl-420	290	5	=	=	PROPN
awl-420	290	6	y	y	PROPN
awl-420	290	7	status	status	NOUN
awl-420	290	8	of	of	ADP
awl-420	290	9	women	woman	NOUN
awl-420	290	10	.	.	PUNCT
awl-420	291	1	(	(	PUNCT
awl-420	291	2	2020	2020	NUM
awl-420	291	3	)	)	PUNCT
awl-420	291	4	.	.	PUNCT
awl-420	292	1	the	the	DET
awl-420	292	2	economic	economic	ADJ
awl-420	292	3	impact	impact	NOUN
awl-420	292	4	of	of	ADP
awl-420	292	5	equal	equal	ADJ
awl-420	292	6	pay	pay	NOUN
awl-420	292	7	by	by	ADP
awl-420	292	8	state	state	NOUN
awl-420	292	9	.	.	PUNCT
awl-420	292	10	https://statusofwomendata.org/featured/theeconomic-impact-of-equal-pay-by-state/.	https://statusofwomendata.org/featured/theeconomic-impact-of-equal-pay-by-state/.	PROPN
awl-420	292	11	https://doi.org/10.1016/s0065-2601(08)60108-2	https://doi.org/10.1016/s0065-2601(08)60108-2	VERB
awl-420	292	12	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	NOUN
awl-420	292	13	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	NOUN
awl-420	292	14	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	https://www.census.gov/content/dam/census/programs-surveys/acs/guidance/training-presentations/20180418_moe_webinar_transcript.pdf	NOUN
awl-420	292	15	111	111	NUM
awl-420	292	16	advancing	advance	VERB
awl-420	292	17	women	woman	NOUN
awl-420	292	18	in	in	ADP
awl-420	292	19	leadership	leadership	NOUN
awl-420	292	20	journal	journal	NOUN
awl-420	292	21	-	-	PUNCT
awl-420	292	22	volume	volume	NOUN
awl-420	292	23	41	41	NUM
awl-420	292	24	swain	swain	PROPN
awl-420	292	25	,	,	PUNCT
awl-420	292	26	p.	p.	NOUN
awl-420	292	27	(	(	PUNCT
awl-420	292	28	2019	2019	NUM
awl-420	292	29	)	)	PUNCT
awl-420	292	30	.	.	PUNCT
awl-420	293	1	the	the	DET
awl-420	293	2	lived	live	VERB
awl-420	293	3	experiences	experience	NOUN
awl-420	293	4	of	of	ADP
awl-420	293	5	u.s	u.s	PROPN
awl-420	293	6	.	.	PROPN
awl-420	293	7	female	female	ADJ
awl-420	293	8	employees	employee	NOUN
awl-420	293	9	who	who	PRON
awl-420	293	10	encountered	encounter	VERB
awl-420	293	11	gender	gender	NOUN
awl-420	293	12	-	-	PUNCT
awl-420	293	13	based	base	VERB
awl-420	293	14	wage	wage	NOUN
awl-420	293	15	disparity	disparity	NOUN
awl-420	293	16	[	[	X
awl-420	293	17	doctoral	doctoral	ADJ
awl-420	293	18	dissertation	dissertation	NOUN
awl-420	293	19	,	,	PUNCT
awl-420	293	20	capella	capella	NOUN
awl-420	293	21	university	university	NOUN
awl-420	293	22	]	]	PUNCT
awl-420	293	23	.	.	PUNCT
awl-420	294	1	proquest	proquest	PROPN
awl-420	294	2	dissertations	dissertations	PROPN
awl-420	294	3	&	&	CCONJ
awl-420	294	4	theses	theses	PROPN
awl-420	294	5	.	.	PROPN
awl-420	294	6	wade	wade	PROPN
awl-420	294	7	,	,	PUNCT
awl-420	294	8	m.	m.	NOUN
awl-420	294	9	,	,	PUNCT
awl-420	294	10	&	&	CCONJ
awl-420	294	11	fiorentino	fiorentino	PROPN
awl-420	294	12	,	,	PUNCT
awl-420	294	13	s.	s.	PROPN
awl-420	294	14	(	(	PUNCT
awl-420	294	15	2017	2017	NUM
awl-420	294	16	)	)	PUNCT
awl-420	294	17	.	.	PUNCT
awl-420	295	1	gender	gender	NOUN
awl-420	295	2	pay	pay	NOUN
awl-420	295	3	inequality	inequality	NOUN
awl-420	295	4	:	:	PUNCT
awl-420	295	5	an	an	DET
awl-420	295	6	examination	examination	NOUN
awl-420	295	7	of	of	ADP
awl-420	295	8	the	the	DET
awl-420	295	9	lilly	lilly	PROPN
awl-420	295	10	ledbetter	ledbetter	PROPN
awl-420	295	11	fair	fair	PROPN
awl-420	295	12	pay	pay	PROPN
awl-420	295	13	act	act	NOUN
awl-420	295	14	six	six	NUM
awl-420	295	15	years	year	NOUN
awl-420	295	16	later	later	ADV
awl-420	295	17	.	.	PUNCT
awl-420	296	1	advancing	advance	VERB
awl-420	296	2	women	woman	NOUN
awl-420	296	3	in	in	ADP
awl-420	296	4	leadership	leadership	NOUN
awl-420	296	5	journal	journal	NOUN
awl-420	296	6	,	,	PUNCT
awl-420	296	7	37	37	NUM
awl-420	296	8	.	.	PUNCT
awl-420	297	1	https://doi.org/10.18738/awl.v37i0.11	https://doi.org/10.18738/awl.v37i0.11	NOUN
awl-420	297	2	.	.	PUNCT
awl-420	298	1	white	white	PROPN
awl-420	298	2	,	,	PUNCT
awl-420	298	3	k.	k.	PROPN
awl-420	298	4	(	(	PUNCT
awl-420	298	5	2019	2019	NUM
awl-420	298	6	)	)	PUNCT
awl-420	298	7	.	.	PUNCT
awl-420	299	1	the	the	DET
awl-420	299	2	effect	effect	NOUN
awl-420	299	3	of	of	ADP
awl-420	299	4	union	union	NOUN
awl-420	299	5	affiliation	affiliation	NOUN
awl-420	299	6	on	on	ADP
awl-420	299	7	salary	salary	NOUN
awl-420	299	8	for	for	ADP
awl-420	299	9	female	female	ADJ
awl-420	299	10	community	community	NOUN
awl-420	299	11	college	college	NOUN
awl-420	299	12	faculty	faculty	NOUN
awl-420	299	13	[	[	X
awl-420	299	14	doctoral	doctoral	ADJ
awl-420	299	15	dissertation	dissertation	NOUN
awl-420	299	16	,	,	PUNCT
awl-420	299	17	university	university	NOUN
awl-420	299	18	of	of	ADP
awl-420	299	19	missouri	missouri	PROPN
awl-420	299	20	–	–	PUNCT
awl-420	299	21	st	st	PROPN
awl-420	299	22	.	.	PROPN
awl-420	299	23	louis	louis	PROPN
awl-420	299	24	]	]	PUNCT
awl-420	299	25	.	.	PUNCT
awl-420	300	1	https://irl.umsl.edu/dissertation/913/.	https://irl.umsl.edu/dissertation/913/.	PROPN