Table 3.
Tests for invariance of the SAS-A-SF goodness of fit statistics.
Model | S-Bχ2(df) | ΔS-Bχ2(df) | aCFI (ΔCFI) | aRMSEA (ΔRMSEA) |
---|---|---|---|---|
Cross gender (male/female) | ||||
1. Configural model (no constrains) | 307.91(102) | -- | .96(--) | .07(--) |
2. Weak (metric) invariance | 322.17(111) | 11.77(9)ns | .96(.00) | .07(.00) |
3. Strong (scalar) invariance | 338.73(117) | 27.83(15)a | .96(.00) | .07(.00) |
Cross sample (school/institution) | ||||
1. Configural model (no constrains) | 256.43(102) | -- | .96(--) | .07(--) |
2. Weak (metric) invariance | 265.33(111) | 6.43(9)ns | .96(.00) | .07(.00) |
3. Strong (scalar) invariance | 277.09(117) | 17.93(15)ns | .96(.00) | .07(.00) |
Note. S-Bχ2(df) = Satorra-Bentler chi-square (degrees of freedom); *CFI = robust Comparative Fit Index; *RMSEA = robust Root Mean Square Error of Approximation; C.I. = confidence interval.
p < .05; ns = non-significant.