TABLE 2.
χ2(df) | CFI | TLI | SRMR | RMSEA [90% CI] | Model (M) comparison | Δχ2(df) | ΔCFI | |
Baseline model | ||||||||
Singapore | 222.595 (101)*** | 0.913 | 0.897 | 0.086 | 0.073 [0.060, 0.087] | – | – | – |
Australia | 208.383 (101)*** | 0.892 | 0.868 | 0.089 | 0.077 [0.062, 0.092] | – | – | – |
M1: configural | 430.978 (202)*** | 0.905 | 0.887 | 0.086 | 0.053 [0.046, 0.060] | – | – | – |
M2: metric | 460.383 (216)*** | 0.898 | 0.887 | 0.088 | 0.053 [0.044, 0.052] | 2 vs.1 | 29.405 (14)* | 0.007 |
M3: scalar | 690.069 (230)*** | 0.809 | 0.803 | 0.090 | 0.070 [0.064, 0.076] | 3 vs. 2 | 229.686 (14)*** | 0.089 |
M3b: partial scalar | 477.849 (224)*** | 0.894 | 0.887 | 0.090 | 0.053 [0.047, 0.060] | 3b vs. 2 | 17.466 (8)* | 0.004 |
In the Baseline Model, error terms of items 1 and 5, and items 4 and 16 were covaried as free parameters in each group. In Model 3b, intercepts of items 2, 3, 9, 10, 14, and 16 were freely estimated. *p < 0.05; ***p < 0.001.