The desirability of longitudinal data is generally accepted among researchers in aging and gerontology. In recent years, a great deal of such data have been collected either in the form of large scale national surveys of more local efforts. Not uncommonly, such data are underanalyzed. While part of the reason for this waste of data has to do with the unavailability of suitable methods of data analysis, recent developments provide researchers with several new and exciting ways of looking at longitudinal data. This article surveys three of them: multivariate analysis of variance, the LISREL model, and event history analysis.
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