Table B4.
Age | Gender | ||||||
---|---|---|---|---|---|---|---|
Model Fit Index | Configural | Scalar | Δχ2 | Configural | Scalar | Δχ2 | |
χ2 | Statistic | 119.04 | 139.45 | 21.17 | 86.46 | 109.7* | 21.82* |
df | 105 | 121 | 16 | 70 | 78 | 8 | |
RMSEA | Statistic | .04 | .05 | .05 | .06 | ||
90% CI | .000 – .08 | .000–.08 | .000 – .08 | .03–.09 | |||
CFI | Statistic | .98 | .97 | .97 | .94 |
Note. CI = confidence interval. Non-significant chi-square difference (Δχ2) test indicates scalar invariance. Modification indices in the Mplus output indicated that removal of one item (tried a new sport or played a sport you’re not good at when you might have embarrassed yourself) would achieve full scalar invariance for gender, as indicated by a non-significant chi-square difference between the configural and scalar models (Δχ2 = 6.955, p =.434).
p < .05