Table 2.
Reliability and CFA evidence
| Measure/model | n | α or χ²/df | CFI | TLI | RMSEA | SRMR |
|---|---|---|---|---|---|---|
| Future anxiety (DFS) | 1271 | α = 0.803 | — | — | — | — |
| Physical activity habit automaticity (SRBAI-PA) | 1271 | α = 0.819 | — | — | — | — |
| Brooding rumination (BR) | 1271 | α = 0.860 | — | — | — | — |
| Academic burnout (SBI) | 1254 | α = 0.904 | — | — | — | — |
| Harman single-factor PCA | 1254 | First factor = 29.61%; eigenvalues > 1 = 4 | — | — | — | — |
| Four-factor model | 1254 | 1.180 | 0.997 | 0.996 | 0.012 | 0.022 |
| 3-factor: FA + BR combined | 1254 | 7.722 | 0.870 | 0.855 | 0.073 | 0.078 |
| 2-factor: FA + BR + AB combined | 1254 | 16.238 | 0.703 | 0.672 | 0.110 | 0.114 |
| Single-factor model | 1254 | 22.624 | 0.576 | 0.534 | 0.131 | 0.134 |
CFA and reliability for academic burnout were estimated using item-complete cases (n = 1254), whereas the main regression models used available-item mean scoring and a complete-item sensitivity analysis was also conducted. CFA was estimated using maximum-likelihood estimation in Python 3.11
CFA confirmatory factor analysis, RMSEA root mean square error of approximation, SRMR standardized root mean square residual