Table 5. Hierarchical linear model of multiply imputed data (imputations=20): the effects of alcohol specific communication on alcohol-related consequences.
β (SE) | t-value | |
---|---|---|
Sample Size | 1511 | |
Fixed Effects | ||
Intercept | 0.08 (0.02)*** | 4.89 |
Age | 0.0002 (0.005) | 0.03 |
Gender | −0.02 (0.01) | −1.50 |
Parent Education | −0.003 (0.004) | −0.67 |
Family Structure | −0.02 (0.01) | −1.75 |
Responsiveness | 0.0004 (0.008) | −0.05 |
Demandingness | −0.01 (0.009) | −1.33 |
Parental Alcohol Use | −0.0002 (0.001) | −0.13 |
Adolescent Baseline Alcohol Consequences | 0.29 (0.05)*** | 6.27 |
Black | −0.01 (0.01) | −0.78 |
Other Race/Ethnicity | 0.02 (0.02) | 0.81 |
Negative Alcohol Messages | −0.01 (0.02) | −0.80 |
Permissive Alcohol Messages | 0.02 (0.02) | 0.91 |
Adolescent Baseline Alcohol Use | 0.01 (0.009) | 1.15 |
Negative Messages* Adol Baseline Alcohol Use | −0.001 (0.01) | −0.07 |
Permissive Messages* Adol Baseline Alcohol Use | 0.03 (0.02)* | 1.99 |
Random Effects | ||
Intercept | 0.0004 (0.0004) | 0.88 |
Residual | 0.03 (0.002)*** | 18.22 |
R2 (compared to intercept only model) | .1465 |
Note:
p < .05
p<.001