Table 4. Hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).
| Model | M1 | M2 | M3 | M4 | M5 | M6 |
|---|---|---|---|---|---|---|
| Predictor | β | |||||
| Age in months | .332** | .207 | .154 | .146 | .110 | .155 |
| WASI vocabulary | .310** | .135 | .111 | .100 | .060 | .040 |
| Block design (log) | .383** | .279* | .266* | .231 | .249* | |
| Rotation | .128 | .125 | .139 | -.085 | ||
| Paper-folding | .131 | .133 | .089 | .109 | ||
| Speed | .060 | .054 | .097 | |||
| Flow of liquid | .261** | .266** | ||||
| Age x rotation | -.278** | |||||
AdjR2 = .494; ΔR2 = .347*** for M1; .071** for M2; .024 for M3; .003 for M4; .051**for M5; .037** for M6.
*p < .05.
**p < .01.
***p < .001.