Before fitting we standardized the variables.
We re-analyzed these data with statistical outliers removed, having defined the latter as any country or state flagged by R in at least one of the four diagnostic graphs elicited by the "plot" command (residuals vs. fitted values, standardized residuals vs. theoretical quantiles, standardized residuals vs. fitted values, or standardized residuals vs. leverage).
Functional and anatomical data sets for each subject were aligned and fit to standardized Talairach space [58].
χ 2 chi-square, df degrees of freedom, AGFI adjusted goodness of fit, SRMR standardized root-mean-squared residual, CFI comparative fit index, RMSEA root-mean-square error of approximation.
Once all items had ordered thresholds, all fit statistics, standardized residuals, chi-square and F-statistics, were re-examined.
If random effects were not included in the final model, a Pearson χ test was used to assess model fit and standardized Pearson residuals were evaluated to identify outliers.
F tests of regression of fitted values upon standardized residuals (P > 0.05) and squared standardized residuals (P > 0.05) did not show dependence of residuals upon expected values or heteroskedasticity.
The overall fit of the model to the data was evaluated through Chi square statistics, goodness-of-fit index (GFI), comparative fit index (CFI), normed fit index (NFI), incremental fit index (IFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA).
The goodness of fit indices valued between 0 and 1 included goodness of fit index (GFI), adjusted goodness of fit index (AGFI), non-normed fit index (NNFI) and comparative fit index (CFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA).
Model fit without the latent common methods variance factor was good: root mean square error of approximation (RMSEA)=.04, non-normed fit index (NNFI =.97, comparative fit index (CFI =.97, standardized root mean square residual (SRMR =.08.
The comparative fit index (CFI), normed fit index (NFI), standardized root mean square residual (SRMR), and the root mean square error of approximation (RMSEA) were used to evaluate model fit.
