Table 3.

Results from the CFA.

	n	χ2	df	p	χ2/df	RMSEA (CI)	CFI	IFI	SRMR
Step 1: comparison of different factorial solutions (Chilean confirmation sample)
Three correlated 1st order factors	1850	1050.47	101	<.001	10.40	0.071 (0.067;0.075)	0.861	0.862	0.062
Three 1st order factors under a 2nd order factor	1850	1028.62	100	<.001	10.28	0.071 (0.067;0.075)	0.864	0.865	0.062
Bifactor model	1850	646.21	88	<.001	5.27	0.059 (0.054;0.063)	0.918	0.919	0.041
Step 2: goodness of fit of the bifactor model in the different study samples
Colombia	621	300.99	88	<.001	3.42	0.062 (0.055;0.070)	0.921	0.921	0.047
Ecuador	558	191.32	88	<.001	2.17	0.046 (0.037;0.055)	0.952	0.952	0.037
Mexico	334	233.65	88	<.001	2.65	0.071 (0.059;0.081)	0.910	0.912	0.053
Spain	347	233.18	88	<.001	2.64	0.069 (0.058;0.080)	0.892	0.894	0.056
All countries	5559	1767.62	88	<.001	20.08	0.059 (0.056;0.061)	0.925	0.925	0.037

Note. CFA = confirmatory factor analysis; χ² = Satorra-Bentler chi-square; df = degrees of freedom; p = general model significance; χ²/df = normed chi-square; RMSEA = root mean square error of approximation; CFI = comparative fit index; IFI = incremental fit index; SRMR = standardized root mean square residual.

The table shows, in the first place (Step 1), the fit indices obtained for the three factorial models tested in the Chilean sample. Being the bifactorial model the one with the best fit, secondly (Step 2), the fit indices of the bifactorial model are compared for the other countries.