Table 1 Summaiy of Goodness-of-Fit Indices and Invariance Analysis for the 2 x 2 PMCQPAS Multiple Indices [chi Model square] df TLI GFI CFI RMSEA
Confirmatory factor analysis 1.
Alternative models for the multidimensional structure of Wisconsin Schizotypy Scales [chi square] SD [chi square]/df RMSEA
984) [[chi square] = 110,80 (50 df; p = 0); RMSEA
Although the CFI did not meet established criterion (Raykov & Marcoulides, 2006; Kline, 2011), the GFI (Raykov & Marcoulides, 2006), RMR (Flu & Bentler, 1999), Critical N (CN) (Schreiber, Nora, Stage, Barlow, & King, 2006), RMSEA
and 90% Cl for RMSEA
(Kline, 2011) were all within acceptable range.
96), but the RMSEA
was not within the acceptable criteria range (RMSEA
of Model 4 was slightly above the cutoff value of .
Most commonly used criteria include AIC (Akaike Information Criteria), RMSEA
(Root Mean Square Error of Approximation), GFI (Goodness of Fit Index), AGFI (Adjusted Goodness of Fit Index) and CFI (Comparative Fit Index) (8, 10-11).
The Robust RMSEA
also accounts for non-normality in the data and is based on the average lack of fit per degree of freedom; therefore, as the fit improves, the RMSEA
08 for the RMSEA
, was set (Browne and Cudeck 1992).
Tomando los criterios de Byrne (2010) y Hu y Bentler (1998), se asumio que un buen ajuste del modelo conllevaria valores de CFI, GFI y AGFI superiores a 0,90, valores de SRMR inferiores a 0,05 y valores de RMSEA
entre 0,06 y 0,08.
TABLE 3 Fit Statistics for Two Structural Equation Models Model [chi square] df RMSEA
CFI Model 1 5.
Results of the cross-validation were measured using Chi-square and RMSEA
(Root Mean Square Error of Approximation).