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Standard root mean square residual.

standardized root mean square residual.

Model F-value is calculated as ratio of mean square regression and mean square residual.

The overall model showed a good fit (comparative fit index = 0.91, root mean square of approximation = 0.09, and standardized root mean square residual = 0.05).

In Table 4, the statistical significance of the ratio of mean square variation due to regression and mean square residual error was tested using ANOVA.

Comparative fit index (CFI), root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), and goodness of fit index (GFI) were used as fit statistics.

(sigma) is the root-mean-square residual, also calculated iteratively with Huber weights.

The fit of items to the measurement method was assessed with infit mean-square and outfit mean-square residual indexes.

Fitting a one-factor model to the data produced a root mean-square residual statistic of.048.

The item fit to the Rasch model is commonly measured by the mean-square residual fit statistic [ 19].

Standardised Root Mean-Square Residual (SRMR) and the Root Mean-Square Error of Approximation (RMSEA) were assessed.