Table 2.
Fixed Effects in Level 2 Hierarchical Linear Modeling Equations
| Model 0a | Model 1b | Model 2ac | Model 2bd | |
| Intercept: Mean (,00) | 47.65***,e | 43.40*** | 43.19*** | 43.20*** |
| Slope: Mean (,10) | −0.19f | −0.81 | −0.55 | −0.44 |
| CG status (,11) | 0.64** | 0.34 | 0.27 | |
| T1 Ham D (,12) | −0.19*** | |||
| T2 Ham D (,12) | −0.20*** | |||
| Deviance statistic (−2 log likelihood, no. of estimated parameters = 4) | 4,683.48 | 4,571.24 | 4,568.04 | 4,568.88 |
Notes: CG = caregiver; Ham D = Hamilton depression.
a
Model 0: unconditional linear growth model, with no predictors at Level 2.
b
Model 1: CG status predicting digit symbol test decline.
c
Model 2a: CG status predicting digit symbol test decline, with Hamilton T1 as a mediator.
d
Model 2b: CG status predicting digit symbol test decline, with Hamilton T2 as a mediator.
e
For all models, covariates for intercept equation: age, education, gender, obesity, and stroke history.
f
Covariates for slope equation: age, gender, obesity, and stroke history.
*p < .10. **p < .05. ***p < .01.