Part of the Quantitative Applications in the Social Sciences Series
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.
|Publication date:||19th August 2008|
|Author:||Kristopher J. Preacher, Dr. Aaron Lee Wichman, Robert Charles MacCallum, Dr. Nancy E. Briggs|
|Publisher:||SAGE Publications Inc|
|Categories:||Research methods: general,|
Kristopher J. Preacher, Ph.D. is an assistant professor of Quantitative Psychology at the University of Kansas. His research focuses primarily on the use of factor analysis, structural equation modeling, and multilevel modeling to analyze longitudinal and correlational data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between theory and practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. Aaron L. Wichman is a doctoral candidate in the Social Psychology program at The Ohio State University, where he serves as coordinator for the department's introductory ...More About Kristopher J. Preacher, Dr. Aaron Lee Wichman, Robert Charles MacCallum, Dr. Nancy E. Briggs