Table 4.

Model fit indexes of the 10 tested models with best fitting model boldfaced.

		Chi-square test of model fit							RMSEA
Model	Number of estimated parameters	Value	df	p	Scaling correction factor for MLR	CFI	TLI	SRMR	Est.	90% CI	Pr. RMSEA ≤ 0.05	ΔAIC	ΔBIC
1	30	331.495	35	0.0000	1.0523	0.840	0.794	0.062	0.114	0.103–0.125	0.000	275.4	226.1
2	30	646.463	35	0.0000	1.0423	0.669	0.575	0.214	0.163	0.152–0.174	0.000	600.4	551.1
3	31	308.529	34	0.0000	1.0446	0.852	0.804	0.061	0.111	0.100–0.122	0.000	250.9	206.1
4	31	250.776	34	0.0000	1.0538	0.883	0.845	0.055	0.099	0.087–0.110	0.000	192.9	148.1
5	30	550.693	35	0.0000	1.0446	0.721	0.642	0.211	0.150	0.139–0.161	0.000	501.9	452.6
6	31	278.573	34	0.0000	1.0277	0.868	0.825	0.063	0.105	0.094–0.116	0.000	214.9	170.1
7	40	69.546	25	0.0000	1.0229	0.976	0.957	0.030	0.052	0.038–0.067	0.382	17.8	13.3
8	41	50.914	24	0.0011	1.0088	0.985	0.973	0.022	0.041	0.025–0.057	0.804	0	0
9	40	402.494	25	0.0000	0.9761	0.796	0.633	0.177	0.152	0.139–0.165	0.000	339.5	335.0
10	42	50.906	23	0.0007	1.0079	0.985	0.970	0.022	0.043	0.027–0.059	0.747	1.9	6.4

Df, degrees of freedom; CFI, Comparative Fit Index; TLI, Tucker-Lewis Index; SRMR, Standardized Root Mean Square Residual; RMSEA, Root Mean Square Error of Approximation; Est., estimated value of RMSEA; AIC, akaike information criterion; BIC, Bayesian information criterion, ΔAIC and ΔBIC represent the difference between the model’s values and the best fitting model’s values.