07 positive-negative schizotypy GFI AGFI CFI NNFI
The CFI, NFI, and NNFI
all indicated an acceptable fit of the model to the data.
Other model fit measures such as GFI, AGFI, CFI, NNFI
, IFI were employed to assess the "goodness of fit" of the measurement model (Byrne 2001).
Goodness-of-fit indexes CFI, NFI, NNFI
, all over 0.
06, respectively, and both CFI and NNFI
indices were above .
The following goodness-of-fit indices were used during the MGCFA analysis: Chi-squared, RMSEA, CFI and NNFI
(Tucker Lewis index or Non-Normed fit index).
An analysis of a more stringent standard presented by Hu and Bentler (1999) indicated that the NNFI
and CFI should exceed a .
97 para NFI, NNFI
, CFI, indicativos todos de un buen ajuste (Schermelleh-Engel, Moosbrugger y Muller, 2003).
compares the hypothesized model to a null model in which covariances among observed variables are assumed to be 0.
Invariance testing involves examining differences in fit between the constrained and unconstrained models in terms of the chi-square index, the CFI, and the NNFI
(Cheung & Rensvold, 2002; Little, 1997).
and CFI results, when compared to a critical value of .
The fit indices such as GFI, AGFI, NNFI
and CFI were all more than 0.