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Latent Growth Curve Modeling
- Kristopher J. Preacher - Vanderbilt University, USA
- Aaron L. Wichman - Western Kentucky University, USA
- Robert C. MacCallum - University of North Carolina, Chapel Hill, USA
- Nancy E. Briggs - University of Adelaide, Australia
Volume:
157
August 2008 | 112 pages | SAGE Publications, Inc
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.
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
