A didactic example of latent curve analysis applicable to the study of aging

Objectives: This article provides an example and application of growth curv e analysis for modeling individual differences in behavioral rates of chang e in aging. The latent curve modeling approach to the analysis of change al lows researchers to describe change as a continuous process and to address issues related to individual differences in change over time. Methods: Data are used from the Longitudinal Study of Aging (LSOA) on change in activiti es of daily living (ADLs) in the elderly. Analyses involved direct maximum likelihood estimation using complete and incomplete cases. Results: It is p ossible to statistically capture developmental changes. Change in participa nts' ADLs was characterized by a negative linear trajectory, and there was evidence of significant individual variability in the starting point of the trajectory and the rate of change over time. Discussion: The article discu sses the utility of latent curve analysis in aging research as well as othe r techniques that are extensions of latent curve analysis.