Differential aging: an exploratory approach using cluster analysis

This article uses cluster analysis to identify different patterns of personal resources within a random sample of the well, elderly population. Ten such patterns or natural groupings are identified and their implications for coping and successful aging are discussed. It is apparent that there are a number of ways both of aging well and aging badly, and that these patterns cannot be predicted solely on the basis of structural data. The article poses a number of questions on the performance of cluster members over time and draws attention to the importance of longitudinal data.