Table 2.

Goodness-of-fit statistics of competing measurement models.

Model	χ2	df	TLI	CFI	RMSEA [95% CI]	SRMR	AIC	BIC
1a	983.12	367	0.87	0.88	0.06 [0.05, 0.06]	0.06	51334.79	51751.79
1b	908.07	366	0.89	0.90	0.05 [0.05, 0.06]	0.06	51245.65	51666.94
1c	836.21	365	0.90	0.91	0.05 [0.04, 0.05]	0.06	51162.97	51588.57
1d	789.82	364	0.91	0.92	0.05 [0.04, 0.05]	0.06	51110.62	51540.51
1e	763.43	363	0.91	0.92	0.05 [0.04, 0.05]	0.06	51080.06	51514.25
2	2101.70	371	0.64	0.67	0.09 [0.09, 0.10]	0.09	52553.93	52953.73
3	1257.91	371	0.81	0.83	0.07 [0.06, 0.07]	0.08	51646.12	52045.93
4	3024.33	377	0.45	0.49	0.11 [0.11, 0.12]	0.11	53721.54	54095.55

^*Values significant at the p < 0.01 level (two-tailed). χ², chi-square; 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; 95% CI = 95% confidence intervals; AIC, Akaike information criterion; BIC, Bayesian information criterion; ABIC, adjusted Bayesian information criterion.