Latent growth curve modeling (LGM) is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This book introduces LGMtechniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit.

Specialized Extensions

We have by no means exhausted the possibilities of LGM with the examples presented thus far. As scientific hypotheses become more complex, the models used to represent those hypotheses will show a concomitant increase in complexity and flexibility. In this chapter, we present several interesting and ...

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