Table 2.
Hierarchical multiple regression analyses: dispersion and processing in phase 1 predicting therapy outcome variables.
| B | SE | β | t | p | R2 | ΔR2 | ΔF | p ΔF | |
|---|---|---|---|---|---|---|---|---|---|
| SCID-II | |||||||||
| Step 1 | 0.11 | 0.11 | 3.15 | 0.088 | |||||
| SCID-II pre | 0.51 | 0.29 | 0.33 | 1.74 | 0.088 | ||||
| Step 2 | 0.24 | 0.13 | 1.93 | 0.168 | |||||
| SCID-II pre | 0.43 | 0.28 | 0.28 | 1.52 | 0.142 | ||||
| Dispersion 1 | -4.75 | 2.66 | -0.33 | -1.79 | 0.087 | ||||
| Processing 1 | -0.81 | 1.15 | -0.13 | -0.70 | 0.490 | ||||
| Negative Pattern | |||||||||
| Step 1 | 0.01 | 0.01 | 0.28 | 0.599 | |||||
| Negative pre | 0.13 | 0.24 | 0.11 | 0.53 | 0.599 | ||||
| Step 2 | 0.01 | 0.001 | 0.01 | 0.987 | |||||
| Negative pre | 0.14 | 0.26 | 0.11 | 0.53 | 0.601 | ||||
| Dispersion 1 | -0.19 | 1.38 | -0.03 | -0.41 | 0.889 | ||||
| Processing 1 | -0.05 | 0.60 | -0.02 | -0.08 | 0.940 | ||||
| Positive Pattern | |||||||||
| Step 1 | 0.25 | 0.25 | 8.36** | 0.008 | |||||
| Positive pre | 0.82 | 0.28 | 0.50 | 2.89** | 0.008 | ||||
| Step 2 | 0.32 | 0.07 | 1.13 | 0.341 | |||||
| Positive pre | 0.68 | 0.33 | 0.41 | 2.07 | 0.050 | ||||
| Dispersion 1 | 1.51 | 1.79 | 0.17 | 0.84 | 0.408 | ||||
| Processing 1 | 0.81 | 0.68 | 0.21 | 1.19 | 0.246 |
SCID-II = Structured Clinical Interview for DSM-IV; 1 = phase 1 (sessions 1–10); Negative = Personality Disorder Pattern; Positive = Positive Pattern; Pre = Baseline; Post = Posttreatment. **p < 0.01.