Table 6 Tests of measurement invariance
From: Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis
Model | X2/df | CFI | RMSEA (90% CI) | SRMR | Model comp | ΔCFI | Decision |
|---|---|---|---|---|---|---|---|
All Groups | 1.78 | 0.945 | 0.056 [0.048, 0.065] | 0.050 | – | – | – |
Male | 1.58 | 0.921 | 0.069 [0.056, 0.081] | 0.064 | – | – | – |
Female | 1.63 | 0.915 | 0.072 [0.059, 0.084] | 0.061 | – | – | – |
M1: Configural Invariance | 1.61 | 0.918 | 0.070 [0.061, 0.079] | 0.062 | – | – | – |
M2: Metric Invariance | 1.60 | 0.916 | 0.070 [0.061, 0.079] | 0.065 | M1 | 0.002 | Accept |
M3: Scalar Invariance | 1.59 | 0.914 | 0.069 [0.060, 0.078] | 0.066 | M2 | 0.002 | Accept |
M4: Strict Invariance | 1.63 | 0.903 | 0.072 [0.063, 0.080] | 0.068 | M3 | 0.011 | Reject |
M4a: Partial Strict Invariance | 1.58 | 0.913 | 0.068 [0.060, 0.070] | 0.068 | M3 | 0.001 | Accept |