Table 5.
Model | CMIN | X2/df | df model | p model | CFI | Difference test X2 (unrestricted model) |
---|---|---|---|---|---|---|
Unrestricted model | 80.560 | 10.070 | 8 | <0.001 | 0.923 | – |
Novelty seeking same for BDI and MBI | 81.608 | 9.068 | 9 | <0.001 | 0.923 | n.s. |
Harm avoidance same for BDI and MBI | 108.651 | 12.072 | 9 | <0.001 | 0.894 | X2 = 28.091; p < 0.001 |
Reward dependence same for BDI and MBI | 82.805 | 9.201 | 9 | <0.001 | 0.992 | n.s. |
Persistence same for BDI and MBI | 95.210 | 10.579 | 9 | <0.001 | 0.909 | X2 = 14.650; p < 0.001 |
Self-directedness same for BDI and MBI | 162.861 | 18.096 | 9 | <0.001 | 0.837 | X2 = 82.301; p < 0.001 |
Cooperativeness same for BDI and MBI | 86.386 | 9.598 | 9 | <0.001 | 0.918 | X2 = 5.826; p = 0.016 |
Self-transcendence same for BDI and MBI | 84.428 | 9.381 | 9 | <0.001 | 0.92 | X2 = 3.867; p = 0.049 |
All subscales same for BDI and MBI | 302.394 | 20.160 | 15 | <0.001 | 0.213 | X2 = 221.833; p < 0.001 |
The table shows the fit of a liberal model (unrestricted model) compared to nested models, which assume the same regression weights between an individual TCI dimension and burnout/depression, while all other respective dimensions stay free (compare Materials and Methods). Furthermore, a model, which assumes the same regression weights for all dimensions, is tested.