Table 4. Hierarchical linear model of multiply imputed data (imputations=20): the effects of alcohol specific communication on adolescent alcohol use.
β (SE) | t-value | |
---|---|---|
Sample Size | 1511 | |
Fixed Effects | ||
Intercept | 0.07 (0.07) | 1.00 |
Age | 0.04 (0.02) | 1.71 |
Gender | −0.02 (0.05) | −0.33 |
Parent Education | −0.002 (0.02) | −0.12 |
Family Structure | −0.09 (0.06) | −1.58 |
Responsiveness | −0.003 (0.03) | −0.08 |
Demandingness | −0.02 (0.04) | −0.68 |
Parental Alcohol Use | 0.007 (0.005) | 1.30 |
Adolescent Baseline Alcohol Use | 0.40 (0.03)*** | 14.61 |
Black | −0.10 (0.06) | −1.68 |
Other Race/Ethnicity | −0.06 (0.10) | −0.62 |
Negative Alcohol Messages | −0.15 (0.08) | −1.80 |
Permissive Alcohol Messages | 0.16 (0.10) | 1.56 |
Negative Messages* Adol Baseline Alcohol Use | 0.06 (0.09) | 0.63 |
Permissive Messages* Adol Baseline Alcohol Use | 0.23 (0.10)* | 2.34 |
Random Effects | ||
Intercept | 0.02 (0.01) | 1.47 |
Residual | 0.69 (0.03)*** | 24.73 |
R2 (compared to intercept only model) | .2113 |
Note:
p < .05
p<.001