The Poverty-Related Stress Scale: Development and Validation of a Multidimensional Measure Assessing Poverty-Related Stressors

Table 6

Competing measurement models.

Model type		df	CFI	TLI	RMSEA [Est.; CI]	SRMR	AIC	BIC	aBIC	Meets model fit criteria	Meets measure quality criteria
(1) Unidimensional model	678.70	90	0.81	0.78	0.13; [0.12-0.14]	0.09	14015.08	14194.70	14051.91	No	No
(2) Three correlated first-order factor model	197.79	87	0.96	0.96	0.06; [0.05-0.07]	0.04	13540.17	13731.76	13579.45	Yes	Yes
(3) Second-order model with three first-order factors	197.79	87	0.96	0.96	0.06; [0.05-0.07]	0.04	13540.17	13731.76	13579.45	Yes	Yes
(4) Biactor model (one general & three specific factors	153.12	75	0.98	0.96	0.05; [0.04-0.06]	0.04	13519.50	13758.99	13568.60	Yes	No
(5) ESEM model with three first-order factors	86.05	63	0.99	0.99	0.03; [0.01-0.05]	0.02	13476.43	13763.82	13535.36	Yes	Yes
(6) H-ESEM model with three first-order factors	86.05	63	0.99	0.99	0.03; [0.01-0.05]	0.02	13476.43	13763.82	13535.36	Yes	Yes
(7) Bifactor ESEM model (one general & three specific factors)	52.30	51	1.00	1.00	0.01; [< 0.01-0.03]	0.01	13466.68	13801.96	13535.42	Yes	No

Note: = chi-square; df = degrees of freedom; TLI = Tucker-Lewis Index; CFI = comparative fit index; RMSEA = root mean square error of approximation [90% CI]; SRMR = standardized root mean square residual; AIC = Akaike information criterion; BIC = Bayes information criterion; aBIC = adjusted Bayes information criterion. Bold: nonsignificant . For convergence, first-order factor loadings were constrained to be equal.