Table 5.
Growth model results for WJ3 Letter–Word Identification predicted by ΔDVAR.
Fixed effect | Coefficient | SE | df | t | p |
---|---|---|---|---|---|
Intercept, β00 | 450.45 | 4.25 | 45 | 105.91 | <.001 |
G2, β10 | 21.94 | 2.51 | 45 | 8.73 | <.001 |
ΔDVAR, β01 | −3.92 | 1.81 | 45 | −2.16 | .036 |
Month, β20 | 6.83 | 0.43 | 45 | 15.84 | <.001 |
G2 × ΔDVAR, β11 | 1.09 | 1.28 | 45 | 0.86 | .398 |
G2 × Month, β30 | −3.64 | 0.51 | 45 | −7.13 | <.001 |
ΔDVAR × Month, β21 | −0.35 | 0.1 | 45 | −3.25 | .003 |
G2 × Month × DVAR, β31 | 0.39 | 0.16 | 45 | 2.42 | .020 |
Random effect | Variance | df | χ2 | p | reduction in variance |
---|---|---|---|---|---|
Intercept, r0 | 823.64 | 35 | 322.90 | <.001 | 0.137 |
G2, r1 | 5.25 | 35 | 63.36 | .003 | 0.171 |
Month, r2 | 145.32 | 35 | 57.33 | .010 | 0.031 |
G2 × Month, r3 | 5.75 | 35 | 41.82 | .199 | 0.187 |
Error, e | 83.57 |