Abstract

Research methods Longitudinal statistical models are presented to examine the ageing process. Approaches discussed include the latent growth curve model, multivariate latent growth curve model, latent growth curve model with a time-varying covariate, latent class analysis, growth mixture model, multi-state model and change point model. Methodological lessons learned This chapter highlights the increased access to longitudinal data sources and the variety of different longitudinal models of change available to researchers interested in ageing. These data sources and longitudinal models provide researchers with an opportunity to answer complex research questions related to ageing and within-person change. Researchers should devote efforts to choosing the data source and longitudinal model that matches most closely to their research questions because different models lead to different results.