Latent Growth Curve and Repeated Measures Analysis of Variance Contrasts: What the Models Are Telling You

• In Event: 25.018 - Advanced Analysis and Inference Issues

Abstract

The relationship between the latent growth curve and repeated measures ANOVA models is often misunderstood. Although a number of investigators have looked into the similarities and differences among these models, a cursory reading of the literature can give the impression that they are very different models. In this paper we show that each model represents a set of contrasts on the occasion means. We demonstrate that the fixed effects parameters of the estimated basis vector latent growth curve model is merely a transformation of the repeated measures ANOVA fixed effect model. We compare the fit of these two models. We show these relationships both algebraically and by using data from a simulation.

Authors

• Michael J. Rovine, University of Pennsylvania

• Paul A. McDermott, University of Pennsylvania