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What does CFI stand for?

CFI stands for Comparative Fit Index


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Therefore, several disparate indices were used, as suggested by Tanaka (1993) to converge on an overall assessment, including the Root Mean Squared Error of Approximation (RMSEA) as discussed by Steiger (1990), Non-Normed Fit Index (Bentler & Bonett, 1980), Incremental Fit Index (Bollen, 1989), Comparative Fit Index (Bentler, 1990), and Goodness-of-Fit Index (Joreskog & Sorbom, 1981).
These indices include [chi square], the goodness-of-fit index (GFI), the adjusted goodness-of-fit index (AGFI), the comparative fit index (CFI), the root mean squared residual (RMSR), the root mean square error of approximation (RMSEA), the normed fit index (NFI), the non-normed fit index or Tucker Lewis index (NNFI) and the parsimonious fit index (PNFI).
Finally, comparative fit statistics assess the fit of the model specified with a null model--typically one where the covariances among all indicators are fixed to zero (variances are not constrained; Brown, 2006), with the most popular being the comparative fit index (CFI).
In performing the current analyses, six statistics reflecting fit were reported: the chi-square test statistic; the ratio of chi-square statistic to degrees of freedom; the root mean square error of approximation; the Tucker Lewis Index, also known as the Non Normed Fit Index; Weighted Root Mean Square Residual; and the Comparative Fit Index as appropriate.