Table 8.
Testing measurement invariance across groups based on anhedonia and hybrid models.
Anhedonia model | Goodness of fit indexes | |||||
---|---|---|---|---|---|---|
Cross groups | χ2 (df) | CFI | TLI | RMSEA | RMSEA 90% CI | SRMR |
NATIONALITY | ||||||
Configural invariance | 1,088.110 (310)** | 0.92 | 0.91 | 0.04 | [0.038, 0.043] | 0.04 |
Metric invariance | 1,206.252 (324)** | 0.91 | 0.90 | 0.04 | [0.040, 0.045] | 0.05 |
Scalar invariance | 1,331.118 (345)** | 0.91 | 0.90 | 0.04 | [0.041, 0.046] | 0.08 |
LANGUAGE OF INTERVIEW | ||||||
Configural invariance | 1,066.579 (310)** | 0.93 | 0.92 | 0.04 | [0.038, 0.043] | 0.04 |
Metric invariance | 1,164.512 (324)** | 0.92 | 0.91 | 0.04 | [0.039, 0.044] | 0.04 |
Scalar invariance | 1,276.287 (345)** | 0.92 | 0.91 | 0.04 | [0.040, 0.045] | 0.06 |
ETHNICITY | ||||||
Configural invariance | 1,012.723 (310)** | 0.940 | 0.926 | 0.039 | [0.036, 0.041] | 0.03 |
Metric invariance | 1,061.266 (324)** | 0.937 | 0.926 | 0.039 | [0.036, 0.041] | 0.03 |
Scalar invariance | 1,156.890 (345)** | 0.930 | 0.923 | 0.039 | [0.037, 0.042] | 0.03 |
Hybrid model | Goodness of fit indexes | |||||
Cross groups | χ2 (df) | CFI | TLI | RMSEA | RMSEA 90% CI | SRMR |
NATIONALITY | ||||||
Configural invariance | 1,044.91 (298)** | 0.93 | 0.91 | 0.04 | [0.038, 0.043] | 0.04 |
Metric invariance | 1,161.84 (311)** | 0.92 | 0.90 | 0.04 | [0.040, 0.045] | 0.05 |
Scalar invariance | 1,295.11 (339)** | 0.91 | 0.90 | 0.04 | [0.041, 0.046] | 0.08 |
LANGUAGE OF INTERVIEW | ||||||
Configural invariance | 1,031.57 (298)** | 0.93 | 0.92 | 0.04 | [0.038, 0.043] | 0.04 |
Metric invariance | 1,130.79 (311)** | 0.93 | 0.91 | 0.04 | [0.039, 0.044] | 0.04 |
Scalar invariance | 1,244.73 (339)** | 0.92 | 0.91 | 0.04 | [0.040, 0.045] | 0.06 |
ETHNICITY | ||||||
Configural invariance | 967.118 (298) | 0.94 | 0.92 | 0.03 | [0.036, 0.041] | 0.03 |
Metric invariance | 1,012.247 (311) | 0.94 | 0.92 | 0.03 | [0.036, 0.041] | 0.03 |
Scalar invariance | 1,123.460 (339) | 0.93 | 0.92 | 0.03 | [0.037, 0.042] | 0.03 |
p = 0.000.