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Table 5 This table shows summaries for five regression models each using one of the administered psychological tests as it dependent variable. Emphasis is on the effects of adding D_AEP and all its interactions to regression models after first using only gender, group and their interactions. For most dependent variables, adding D_AEP and its interactions improved the R2 values as demonstrated by the significance of the F changes in the table under Model 2.
| Dependent Variable | Model Summary | Model 1 Gender, Group, interactions | Model 2 Adding D_AEP and Interactions |
|---|---|---|---|
| ASIQ_T | R2 | 0.051 | 0.755 |
| F | 1.310 | 11.060 | |
| df | 3,14 | 4,10 | |
| Sig. F Change | 0.001 | ||
| SCL_OVR | R2 | 0.534 | 0.720 |
| F | 9.180 | 6.020 | |
| df | 3,24 | 4,20 | |
| Sig. F Change | 0.002 | ||
| HAM_D | R2 | 0.622 | 0.762 |
| F | 13.165 | 2.940 | |
| df | 3,24 | 4,20 | |
| Sig. F Change | 0.046, ns | ||
| DES | R2 | 0.220 | 0.634 |
| F | 2.263 | 5.647 | |
| df | 3,24 | 4,20 | |
| Sig. F Change | 0.003 | ||
| MISS | R2 | 0.194 | 0.534 |
| F | 1.930 | 3.640 | |
| df | 3,24 | 4,20 | |
| Sig. F Change | 0.022, ns |
