TABLE 3.

Goodness-of-fit statistics and information criteria for the competing measurement models.

Model	Type	χ 2	df	CFI	TLI	RMSEA	SRMR	AIC	BIC	aBIC
Model 1	ICM-CFA: One Factor	402.85	54	0.62	0.54	0.14	[0.131, 0.157]	0.12	10063.94	10198.57	10084.39
Model 2	ICM-CFA: Two Factor	143.44	53	0.90	0.89	0.07	[0.060, 0.089]	0.07	9806.52	9944.89	9827.54
Model 3	ICM-CFA: Two Factor Second Order	143.44	54	0.90	0.89	0.06	[0.060, 0.089]	0.07	9806.52	9944.89	9827.54
Model 4	ICM-CFA: Three Factor	128.32	51	0.91	0.89	0.07	[0.055, 0.085]	0.07	9795.40	9941.25	9817.55
Model 5	ICM-CFA: Three Factor Second Order	140.13	52	0.91	0.88	0.07	[0.059, 0.089]	0.07	9805.21	9947.32	9826.81
Model 6	B-ICM-CFA 1:	77.28	42	0.96	0.94	0.05	[0.033, 0.070]	0.05	9762.35	9941.86	9789.62
	General Factor
	Two Factors
Model 7	B-ICM-CFA 2:	43.54	39	0.99	0.98	0.02	[0.001, 0.045]	0.03	9734.62	9925.35	9763.60
	General Factor
	Three Factors
Model 8	ESEM:	74.61	43	0.98	0.97	0.05	[0.029, 0.067]	0.03	9757.68	9933.45	9784.39
	Two Factor
Model 9	ESEM:	35.96	33	0.99	0.98	0.02	[0.001, 0.046]	0.02	9739.04	9952.21	9771.42
	Three Factor
Model 10	B-ESEM	35.96	33	0.99	0.98	0.02	[0.001, 0.046]	0.02	9739.04	9952.21	9771.42

χ², chi-square statistic; df, degrees of freedom; TLI, Tucker–Lewis Index; CFI, Comparative Fit Index; RMSEA, Root Mean Square Error of Approximation; SRMR, Standardized Root Mean Square Residual; AIC, Akaike Information Criterion; BIC, Bayes Information Criterion; aBIC, Sample-size adjusted BIC; p < 0.05.