Sentence examples for normed fit from inspiring English sources

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].

Five fit indices have been developed for evaluating how the model fits the data, namely the Normed Fit Index (NFI), Non-Normed Fit Index (NNFI), Comparative Fit Index (CFI), Incremental Fit Index (IFI), and RMSEA (Root Mean Square Error of Approximation).

Confirmatory factor analysis showed that Comparative Fit Index, Normed Fit Index and Non-Normed Fit Index were equal to 1.00.

Comparative Fit Index (CFI), Normed Fit Index (NFI), Non-normed Fit Index (NNFI), Root Mean Square Error of Approximation (RMSEA) and its 90% CI were all calculated.

The Goodness of Fit Index (GFI), Normed Fit Index (NFI), Non-normed Fit Index (NNFI), and Comparative Fit Index (CFI) was 0.60, 0.63, 0.91, and 0.92, respectively, and the RMSEA was 0.05 [90% CI, 0.04 0.065].

They are the Root Mean Square Error of Approximation (RMSEA), Normed Fit Index (NFI), Non-Normed Fit Index (NNFI), Comparative Fit Index (CFI), and Goodness of Fit Index (GFI).

Model fits were considered acceptable, if the goodness-of-fit index (GFI), Bentler-Bonett normed fit index (NFI), non-normed fit index (NNFI) and comparative fit index (CFI) values exceed 0.9, the root mean square error of approximation (RMSEA) values were below 0.05, and the standard root mean-square residual (SRMR) values were below 0.08 [ 22, 23].

Non-normed fit index.

***NNFI: non-normed fit index.

NNFI = Non-normed fit index (>0.9 desired).

As measures of relative fit, we used the non-normed fit index (NNFI) and the comparative fit index (CFI).