Chapter19
Growth Models: Longitudinal Data as Multilevel Data
In this chapterchange as the object of study; time as a predictor, its metric, and its origin; exploring longitudinal data; the unconditional means and unconditional growth models; polynomial and piecewise trajectories; time-invariant and time-varying predictors; the Riesby final model; repeated-measures ANOVA and MANOVA as special cases; missing occasions and dropout; reporting a growth model.
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Cite this bookYu, H.-T. (2026). Multilevel modeling for psychology and the social sciences: Models, graphs, and practice (Web ed.). Chapter 19.