Table 6.

Factorial analyses: Comparison of the adjustment measures for the three models evaluated

Modelsa	p	X2/DF	RMSEA	GFI	AGFI	CFI	AIC
Model 1b	0.001	3.751	0.07	0.892	0.861	0.724	639.134
Model 2c	0.001	3.779	0.071	0.892	0.860	0.823	641.462
Model 3d	0.001	2.731	0.056	0.926	0.905	0.889	488.123
Good fit	[0.05; 1]	[0; 2]	[0; 0.05]	[0.95; 1]	[0.9; 1]	[0.97; 1]	> AIC
Acceptable	[0.01; 0.05]	[2; 3]	[0.05; 0.08]	[0.9; 0.95]	[0.85; 0.9]	[0.95; 0.97]	> AIC

DF, degrees of freedom; X2, Khi2 value; p, p value; RMSEA, root mean square error of approximation; GFI, Goodness of Fit Index; CFI, Comparative Fit Index; AGFI, Adjusted Goodness of Fit Index; AIC, Akaike Information Criterion

^aCFA: confirmatory factorial analysis

^bModel 1: CFA with the original three dimensions COHIP-SF19 model

^cModel 2: CFA with the proposed four dimensions COHIP-SF19 model

^dModel 3: CFA with a modified three dimensions model using Modification Indices

> AIC: > to Akaike Information criterion (AIC) for comparison model