Latent Growth Curve Modeling - Preacher, Kristopher J.; Wichman, Aaron L.; MacCallum, Robert C.
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Latent growth curve modeling (LGM) is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This book introduces LGM techniques 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.

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Produktbeschreibung
Latent growth curve modeling (LGM) is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This book introduces LGM techniques 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.
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Autorenporträt
Kristopher J. Preacher, Ph.D. is a Professor in the Quantitative Methods program at Vanderbilt University. His research concerns the use (and combination) of structural equation modeling and multilevel modeling to model correlational and longitudinal data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between substantive theory and statistical practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. He serves on the editorial boards of  Psychological Methods, Multivariate Behavioral Research, and Communication Methods and Measures.