Table 3.
Linear Mixed Model 1 testing bilingualism effect on IDS in a full dataset.
| Estimate | SE | t | p | |
|---|---|---|---|---|
| Intercept | 1.9 | 0.0469 | 40.4 | 1.1e-60 |
| IDS | 0.105 | 0.0382 | 2.76 | 0.00948 |
| HPP | 0.19 | 0.0575 | 3.31 | 0.00162 |
| Single Screen | 0.243 | 0.0539 | 4.51 | 1.46e-05 |
| Age | −0.0292 | 0.00514 | −5.68 | 1.5e-08 |
| Trial # | −0.0373 | 0.00176 | −21.2 | 3.01e-87 |
| NAE | 0.00299 | 0.0483 | 0.0618 | 0.951 |
| Bilingual | −0.00587 | 0.0254 | −0.231 | 0.817 |
| IDS * HPP | 0.029 | 0.0179 | 1.62 | 0.105 |
| IDS * Single Screen | −0.0204 | 0.0193 | −1.05 | 0.292 |
| Age * Trial # | 0.00105 | 0.000268 | 3.9 | 9.48e-05 |
| IDS * Trial # | −0.00238 | 0.00246 | −0.967 | 0.334 |
| IDS * Age | 0.0131 | 0.00343 | 3.8 | 0.000143 |
| IDS * NAE | 0.0372 | 0.0155 | 2.4 | 0.0163 |
| Age * NAE | 0.00161 | 0.00659 | 0.244 | 0.807 |
| IDS * Bilingual | 0.00294 | 0.0191 | 0.154 | 0.878 |
| Age * Bilingual | −0.00283 | 0.00768 | −0.369 | 0.712 |
| IDS * Age * NAE | 0.00945 | 0.00484 | 1.95 | 0.0509 |
| IDS * Age * Bilingual | −0.00701 | 0.0063 | −1.11 | 0.265 |
| R2 Conditional | 0.361 | |||
| R2 Marginal | 0.11 | |||
| N | 1754 |