Table 8.

Measurement invariance evaluation by estimating configural (Model 0), metric (model 1), scalar (model 2), and strict (model 3) models across gender, age, socioeconomic status, and educational level variables.

Variable	χ2	df	CFI	RMSEA	Comparison	ΔCFI	ΔRMSEA
Gender
Modelo 0	353.23*	102	0.95	0.07
Modelo 1	364.25*	111	0.95	0.07	M1 vs. M0	<0.01	<0.01
Modelo 2	384.45*	120	0.95	0.07	M2 vs. M1	<0.01	<0.01
Modelo 3	399.79*	232	0.95	0.06	M3 vs. M2	<0.01	<0.01
Age
Modelo 0	362.47*	102	0.95	0.07
Modelo 1	370.17*	111	0.95	0.07	M1 vs. M0	<0.01	<0.01
Modelo 2	447.96*	120	0.94	0.07	M2 vs. M1	0.01	<0.01
Modelo 3	457.05*	132	0.94	0.07	M3 vs. M2	<0.01	<0.01
Socioeconomic level
Modelo 0	474.10*	153	0.94	0.08
Modelo 1	490.47*	171	0.94	0.07	M1 vs. M0	<0.01	<0.01
Modelo 2	526.26*	189	0.94	0.07	M2 vs. M1	<0.01	<0.01
Modelo 3	574.72*	213	0.94	0.07	M3 vs. M2	<0.01	<0.01
Educational level
Modelo 0	435.44*	153	0.95	0.07
Modelo 1	465.97*	171	0.95	0.07	M1 vs. M0	<0.01	<0.01
Modelo 2	536.15*	189	0.94	0.07	M2 vs. M1	<0.01	<0.01
Modelo 3	572.40*	213	0.94	0.07	M3 vs. M2	<0.01	<0.01

M1 vs. M0 represents the comparison between configural and metric invariance. M2 vs. M1 between metric and scalar invariance, and M3 vs. M2 between scalar and strict invariance. *p < 0.05.