Table 4.
Hierarchical linear regression predicting NPI Disinhibition with Interference performance
| Model | Dependent Variable | Step | Predictor | β | Δ R2 | F | df | Δ R2 p-value |
|---|---|---|---|---|---|---|---|---|
| 1 | NPI Disinhibition | 1 | Interference correct | −0.01 | 0.04 | 4.12 | 100 | 0.045 |
| 2 | NPI Disinhibition | 1 | Color Naming correct | −0.02 | 0.07 | 7.43 | 1 | 0.008 |
| 2 | Interference correct | 0.01 | 0.00 | 0.40 | 1 | 0.53 | ||
| 3 | NPI Disinhibition | 1 | Age | −0.02 | 0.01 | 1.08 | 1 | 0.30 |
| 1 | MMSE | −0.05 | 0.01 | 0.87 | 1 | 0.35 | ||
| 1 | Color Naming correct | −0.02 | 0.07 | 7.43 | 1 | 0.008 | ||
| 2 | Interference correct | 0.01 | 0.01 | 1.12 | 1 | 0.29 | ||
| 4 | NPI Disinhibition | 1 | Age | −0.02 | 0.01 | 1.08 | 1 | 0.30 |
| 1 | MMSE | −0.05 | 0.01 | 0.87 | 1 | 0.35 | ||
| 1 | Color Naming correct | −0.02 | 0.07 | 7.43 | 1 | 0.008 | ||
| 2 | Interference correct | 0.02 | 0.01 | 1.12 | 1 | 0.29 | ||
| 2 | Interference Errors | 0.10 | 0.01 | 0.69 | 1 | 0.41 |
Note. N=101.