Table 3. Goodness-of-fit for the DEBQ three-factor model across different groups and measurement invariance across gender, age and BMI.
CFI | TLI | RMSEA (90%CI) | SRMR | Δ CFI | ||
---|---|---|---|---|---|---|
Split half sample (N2 = 1205) | Three-factor model | .903 | .895 | .068 (.066-.071) | .054 | — |
Three-factor model (a) | .937 | .931 | .055 (.053-.058) | .054 | — | |
Gendera | ||||||
Women (N = 1052) | .930 | .924 | .059 (.056-.061) | .057 | — | |
Men (N = 1305) | .920 | .913 | .061 (.058-.064) | .057 | — | |
Multi-group analysisa | ||||||
Model 0 (configural invariance) | .926 | .919 | .042 (.041-.044) | .057 | — | |
Model 1 (metric invariance) | .925 | .921 | .042 (.040-.043) | .059 | .001 | |
Model 2 (scalar invariance) | .917 | .916 | .043 (.042-.044) | .060 | .009 | |
Agea | ||||||
14–24 years (N = 258) | .893 | .884 | .074 (.068-.080) | .068 | ||
25–34 years (N = 360) | .914 | .907 | .065 (.060-.070) | .063 | ||
35–44 years (N = 348) | .928 | .922 | .062 (.057-.067) | .061 | ||
45–54 years (N = 438) | .903 | .895 | .070 (.066-.074) | .065 | ||
55–64 years (N = 435) | .924 | .918 | .060 (.056-.065) | .056 | ||
65–74 years (N = 328) | .913 | .905 | .066 (.061-.072) | .060 | ||
≥ 75 years (N = 190) | .890 | .881 | .069 (.062-.077) | .074 | ||
Multi-group analysisa | ||||||
Model 0 (configural invariance) | .904 | .906 | .025 (.024-.025) | .096 | ||
Model 1 (metric invariance) | .903 | .906 | .025 (.024-.025) | .095 | .001 | |
Model 2 (scalar invariance) | .898 | .907 | .025 (.024-.025) | .095 | .006 | |
BMIa | ||||||
Underweight/normal weight (N = 1038) | .929 | .923 | .057 (.055-.060) | .057 | ||
Overweight (N = 912) | .919 | .912 | .063 (.060-.066) | .055 | ||
Obesity (N = 369) | .912 | .905 | .066 (.062-.071) | .071 | ||
Multi-group analysisa | ||||||
Model 0 (configural invariance) | .922 | .916 | .035 (.034-.036) | .057 | ||
Model 1 (metric invariance) | .921 | .918 | .035 (.034-.036) | .058 | .001 | |
Model 2 (scalar invariance) | .915 | .916 | .035 (.034-.036) | .058 | .007 |
Notes. CFA = confirmatory factor analysis; CFI = comparative fit index; CI, confidence interval, RMSEA = Root Mean Square Error of Approximation; SRMR = standardized root mean square residual; three-factor model = correlated factors with cross-loadings fixed to 0; three-factor model (a) = correlated factors with cross-loadings fixed to 0 and correlation of unique variances between items 8 and 9 (diffuse emotions); Δ CFI, difference values between model 1/2 and model 0
a, three-factor model with correlation of unique variances between items 8 and 9 (diffuse emotions).