Latent Growth Curve Modeling

Latent Growth Curve Modeling

by Kristopher J. Preacher, Aaron Lee Wichman, Robert Charles MacCallum, Nancy E. Briggs
     
 

ISBN-10: 1412939550

ISBN-13: 9781412939553

Pub. Date: 06/24/2008

Publisher: SAGE Publications

Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and

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Overview

Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume 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.

The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD)..

Key Features

· Provides easy-to-follow, didactic examples of several common growth modeling approaches

· Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit

· Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data

· Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models

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Product Details

ISBN-13:
9781412939553
Publisher:
SAGE Publications
Publication date:
06/24/2008
Series:
Quantitative Applications in the Social Sciences Series, #157
Edition description:
New Edition
Pages:
112
Product dimensions:
5.30(w) x 8.30(h) x 0.30(d)

Table of Contents

About the Authors
Series Editor Introduction
Acknowledgements
1. Introduction
2. Applying LGM to Empirical Data
3. Specialized Extensions
4. Relationships Between LGM and Multilevel Modeling
5. Summary
Appendix
References

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