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Methods and Applications of Longitudinal Data Analysis by Xian Liu

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Chapter 13

Latent growth, latent growth mixture, and group-based models

Abstract

Chapter 13 provides an account of the latent growth modeling techniques. To familiarize the reader with latent growth methodology, I first provide a brief overview of structural equation modeling (SEM), based on which various latent growth models were developed. Next, I delineate the specification and statistical inference of the latent growth model (LGM). It is emphasized that in many ways, LGM is an SEM expression of linear mixed modeling in the context of longitudinal analysis. The latent growth mixture model (LGMM) is an extension of LGM with introducing latent classes in the model specification and statistical inference for modeling the developmental trajectory ...

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