Table 5.
Longitudinal Models with Vietnamese MLU as the Dependent Measure.
| Parameter | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 |
|---|---|---|---|---|---|---|---|
| Intercept | 6.81*** (0.22) | 4.21*** (0.94) | 3.88*** (0.82) | 3.85*** (0.92) | 4.31*** (0.84) | 3.95*** (0.81) | 3.67*** (0.79) |
| Year - 4 | 0.16 (0.08) | 0.18* (0.08) | 0.16 (0.09) | 0.17 (0.08) | 0.16 (0.09) | 0.16 (0.09) | 0.16 (0.08) |
| Initial Age | 0.36** (0.13) | 0.19 (0.12) | 0.15 (0.17) | 0.01 (0.16) | 0.15 (0.13) | 0.13 (0.12) | |
| Initial Vietnamese NDW | 0.02*** (0.01) | 0.02*** (0.01) | 0.02** (0.01) | 0.02** (0.01) | |||
| Initial Vietnamese Naming | 2.58 (1.51) | ||||||
| Initial English Naming | 1.26 (0.80) | ||||||
| Initial English NDW | 0.005 (0.001) | ||||||
| Initial English MLU | 0.13 (0.08) | ||||||
| AIC | 244 | 239 | 230 | 238 | 229 | 231 | 230 |
| Total R2 | .05 | .18 | .26 | .21 | .30 | .28 | .31 |
| ΔR2 | ns | .13 | .08 | ns | ns | ns | ns |
Note. The best fitting model is in boldface. Fixed effects estimates are displayed with SE in parentheses. Year is the time variable and is centered on the fourth year of data collection. ΔR2 corresponds to the unique variance accounted for by the last variable in the model. ns = not significant.
*
p < .05;
**
p < .01