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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: J Lat Psychol. 2019 Feb 7;7(4):257–272. doi: 10.1037/lat0000126

Table 3.

Goodness of Fit Statistics for Confirmatory Factor Analysis (CFA) Models

Model S-B χ2 Df p SRMR RMSEA ΔSRMR ΔRMSEA Δ S-B χ2 Δdf Δ p
1. Three-factor 866.17 74 <.001 .056 .045 .021 .020 730.88 3 <.001
 English 258.89 74 <.001 .063 .050 .019 .022 321.59 3 <.001
 Spanish 761.97 74 <.001 .056 .047 .019 .017 474.41 3 <.001
2. One-factor 1814.80 77 <.001 .077 .065 -- -- -- -- --
 English 487.90 77 <.001 .082 .072
 Spanish 1439.95 77 <.001 .075 .064
3. Configural 1088.08 148 <.001 .058 .049 -- -- -- -- --
4. Metric 1107.27 159 <.001 .059 .049 .001 .000 11.30 11 .42
5. Factor Variance/Covariance 1189.68 165 <.001 .071 .048 .012 .001 87.55 6 <.001

Note. S-B χ2 = Satorra-Bentler chi-square. Df = degrees of freedom. SRMR = standardized root mean square residual; RMSEA = root mean square error of approximation.