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Using data from an independent sample, the identified 3-factor model was supported by the confirmatory factor analysis (CFA) showing good fit for the included commonly recommended fit indices.
The model fit was evaluated with recommended fit indices (Hu and Bentler, 1999): the Tucker Lewis index (TLI), the root mean square error of approximation (RMSEA), and the comparative fit index (CFI).
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Model fit was assessed using recommended model fit statistics including the χ test, root-mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) [ 33, 34].
As recommended various fit indices including relative Chi-square (χ/df), Comparative Fit Index (CFI), Incremental Fit Index (IFI), Normed Fit Index (NFI), Non-Normed Fit Index (NNFI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR) were used [ 32].
As recommended various fit indices including: relative Chi-square, Root Mean Square Error of Approximation (RMSEA), Goodness of Fit Index (GFI), Comparative Fit Index (CFI), Non-Normed Fit Index (NNFI), Normed Fit Index (NFI), Standardized Root Mean Square Residual (SRMR) were used [ 31, 32].
Consequently, in order to investigate lower-order effects in the presence of a higher-order interaction, it is recommended to fit the appropriate models corresponding to more aggregate forms of the data.
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