Table 2.
Hierarchical multiple regression predicting character recognition at Time 2 (Significant variables are marked in bold).
| Variable | B | SE | Beta | Significant | Adjusted R2 | ΔR2 |
|---|---|---|---|---|---|---|
| Dependent variable: character recognition. | ||||||
| Step 1 | 0.085 | 0.148 | ||||
| Gender | 9.97 | 8.67 | 0.17 | 0.257 | ||
| Age 1 | 4.16 | 69.85 | 0.04 | 0.953 | ||
| Age 2 | 31.86 | 67.92 | 0.32 | 0.642 | ||
| Step 2 | 0.241 | 0.163 | ||||
| T1_PA | 18.49 | 6.08 | 0.41 | 0.004 | ||
| Step3 | 0.350 | 0.159 | ||||
| T1_Consonant MMN | 5.75 | 3.20 | 0.28 | 0.081 | ||
| T1_Consonant LDN | 1.42 | 3.23 | 0.07 | 0.662 | ||
| T1_Tone MMN | −0.69 | 3.83 | −0.03 | 0.859 | ||
| T1_Tone LDN | −5.97 | 2.71 | −0.33 | 0.034 | ||