Non-normed fit index

FIG. 3. Structural equation model of data re-analysed from Nettelbeck Rabbitt (1992 = 98). A latent speed of processing factor mediates the effect of age on Performance IQ subtests. Fit statistics are as follows average off-diagonal standardized residuals = 0.02 chi square = 15.7 (df= 13), P = 0.26 Bentler-Bonett normed fit index = 0.95 Bentler-Bonett non-normed fit index = 0.99 comparative fit index = 0.99 all parameters are significant. 

TLI orNNFI Tucker-Lewis Index or Non-normed Fit Index >.90... 

The next step in the analysis involved assessment of the model. Given that the multivariate kurtosis in the data was elevated, as indicated by the Mardia coefficient, the robust method was used in this analysis (Bentler, 2006). A specified model is generally indieated as a good fit with the data when the /df ratio is less than 3, the RCFI (Robust Comparative Fit Index) and NNFl (Bentler-Bonnet Non-Normed Fit Index) are above. 90, and when RMSEA (Root Mean-Square Error of Approximation) is below. 07 (Byrne, 2006). Two multi-sample analyses (Byrne, 2006) were carried out contrasting Canadian and Swedish students and, female and male students. 

RMSEA Root mean square error of approximation (<0.08) NNFI = Non-normed fit index (>0.90)... 

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