Table 5.

Maximum likelihood estimates for predicting Aging scores by characteristics of change in FL scores for time centered at the start of the longitudinal study (n=503)

Fixed Effect	MLE (SE)	95% CI
Constant	−.268 (.534)	(−1.31, .78)
FL Level	23.6 (2.99)	(17.7, 29.5)
FL Linear change	.173 (.116)	(−.054, .40)
FL Acceleration	.011 (.019)	(−.026, .048)
Within-individual effect of SS on FL	−.046 (.011)	(−.068, −.024)
Between-individual effect of SS on FL	−.208 (.030)	(−.27, −.15)
Effect of AGE on FL Level	.255 (.039)	(.18, .33)
Effect of FL Level on AGING	−.051 (.011)	(−.073, −.029)
Effect of Mean SS on AGING	.041 (.005)	(.031, .051)
Variance/covariance coefficient	MLE (SE)
Intercept, Intercept	75.0 (5.49)
Linear, Intercept	.157 (1.11)
Linear, Linear	1.58 (.493)
Quadratic, Intercept	−.023 (.168)
Quadratic, Linear	−.201 (.076)
Quadratic, Quadratic	.039 (.014)
Residual AGING Variance	1.97 (.453)

Notes: Tabled values are maximum likelihood estimates (MLE) with robust standard errors (SE) in parentheses. MLE's are averaged across results based on 10 imputed data sets obtained using MI with a MCMC method assuming missing data were missing at random. SE's take MI into account. The 95% CI's are estimated 95% confidence intervals for the fixed effects. Time is centered at the start of the longitudinal study. FL=functional limitation; SS=Social Support; Age=Chronological Age, Aging=Attitude Toward Aging