Table 3.

Comparison of the goodness of fit for the 1-, 2-, 3- and 4-factor CFA models.

	Likelihood ratio	Population error	Information criteria		Baseline comparison		Size of residuals
Index	χ2/df	RMSEA (95% CI)	AIC	BIC	CFI	LFI	SRMR	SD
Criteria	Fit: χ2/df ≤ 2	Fit: ≤ 0.06	Fit: model with lowest AIC	Fit: model with lowest BIC	Fit: ≥0.90	Fit: ≥0.90	Fit: ≤0.06	Fit: greatest SD value
M1: Benefits one-factor model	5.2	0.122 (0.114; 0.131)	8739.1	8947.1	0.740	0.707	0.111	0.928
M2: Benefits three-factor model	2.5	0.073 (0.064; 0.083)	8325.8	8544.7	0.908	0.894	0.051	0.991
M3: Benefits uncorrelated four-factor model	5.2	0.121 (0.113; 0.130)	8728.5	8936.5	0.744	0.712	0.271	0.999
M4: Benefits correlated four-factor model	2.2	0.065 (0.056; 0.075)	8278.4	8508.2	0.928	0.916	0.048	0.996
M1: Barriers one-factor model	3.7	0.098 (0.070; 0.127)	4219.0	4295.6	0.894	0.842	0.063	0.778
M2: Barriers uncorrelated two-factor model	13.1	0.206 (0.180; 0.234)	4349.8	4426.5	0.530	0.296	0.205	0.905
M3: Barriers correlated two-factor model	3.9	0.101 (0.073; 0.131)	4219.7	4300.0	0.895	0.831	0.062	0.741
M1: Full-scale one-factor model	10.0	–	13275.9	13556.9	1.0	-	0.117	0.928
M2: Full-scale uncorrelated six-factor model	2.1	0.062 (0.055; 0.069)	12498.0	12808.2	0.891	0.878	0.062	0.999
M3: Full-scale correlated six-factor model	2.1	0.062 (0.055; 0.069)	12492.4	12831.7	0.895	0.880	0.055	0.999
M4:Full-scale uncorrelated 4-factor model	2.3	0.067 (0.060; 0.073)	12544.8	12840.4	0.874	0.861	0.063	0.998
M4: Full-scale correlated 4-factor model	2.3	0.067 (0.060; 0.073)	12544.2	12850.7	0.875	0.861	0.059	0.998

Best fit.