Table 3.
Variable | B | β | SE | DF | p |
---|---|---|---|---|---|
intercept | -0.197 | 0.013 | 0.060 | 3977 | .001 |
time | 0.000 | -0.036 | 0.008 | 3977 | .963 |
Predictors of the intercepts | |||||
| |||||
female | 0.477 | 0.183 | 0.081 | 539 | < .001 |
African American | -0.189 | -0.089 | 0.112 | 539 | .091 |
Other Ethnicity | -0.329 | -0.024 | 0.343 | 539 | .337 |
Predictors of the slopes | |||||
| |||||
female | -0.018 | -0.029 | 0.010 | 3977 | .078 |
African American | -0.014 | -0.016 | 0.015 | 3977 | .329 |
Other Ethnicity | 0.022 | 0.009 | 0.043 | 3977 | .601 |
Variance components | SD | ||||
| |||||
intercept | 0.83 | ||||
time | 0.10 | ||||
residual | 0.58 | ||||
Correlation between intercept and slope | r = -.41 | ||||
Model Pseudo-R2 | .753 |
Note: The model's pseudo R2 was calculated as the squared correlation between the model's fitted and observed values (Singer & Willett, 2003).