Table 3.

Competing CFA and ESEM measurement models.

Model	Type	χ2	df	CFI	TLI	RMSEA		SRMR	AIC	BIC	aBIC	Meets Criteria
Confirmatory factor analytical models
Model 0	Unidimensional first-order factor model	2345.02	77	0.78	0.74	0.13	[0.128–0.132]	0.07	77662.47	77893.38	77759.95	No
Model 1	Three first-order factor model	1283.34	74	0.88	0.86	0.10	[0.091–0.100]	0.06	76606.79	76854.19	76711.23	No
Model 2	Second-order factor model	1283.34	74	0.88	0.86	0.10	[0.091–0.100]	0.06	76606.79	76854.19	76711.23	No
Model 3	Bifactor model	868.74	64	0.92	0.89	0.08	[0.079–0.088]	0.05	76212.19	76514.57	76339.84	No
Exploratory structural equation models
Model 4	Three first-order ESEM	634.78	52	0.94	0.90	0.08	[0.073–0.084]	0.03	76002.23	76370.59	76157.73	Yes
Model 5	Higher-order ESEM	983.42	55	0.91	0.85	0.10	[0.091–0.102]	0.08	76344.87	76696.73	76493.40	No
Model 6	Bifactor ESEM	272.29	41	0.98	0.95	0.06	[0.050–0.062]	0.02	75661.74	76090.52	75842.76	Yes
Model 7	ESEM within CFA	634.78	52	0.94	0.90	0.08	[0.073–0.084]	0.03	76002.23	76370.59	76157.73	Yes

χ², 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.