This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes.

The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

About the Author

Emilio Ferrer is Professor in the Department of Psychology at the University of California, Davis, and a member of the Graduate Groups in Biostatistics, Education, and Human Development. His research interests include methods to examine multivariate change and developmental processes.

Steven M. Boker is Professor of Quantitative Psychology at the University of Virginia, Director of the Human Dynamics Lab, Speaker-Director of the LIFE Academy, and Director of the Center for Dynamics of Healthy Development. His research concerns dynamical systems modeling, interpersonal communication, and methods for the study of development over the lifespan.

Kevin J. Grimm is Professor of Psychology at Arizona State University, and head of the Quantitative Research Methods PhD program. His research interests include longitudinal data analysis and data mining.

Reviews

"The volume by Ferrer, Boker, and Grimm illuminates insightful and revealing methods for analyzing longitudinal multivariate data, while paying tribute to the brilliance of Jack McArdle, who elevated this field and made it accessible and applicable to a wide swath of researchers."

-Lisa L. Harlow, University of Rhode Island, USA

Book Information
ISBN 9781138064232
Author Emilio Ferrer
Format Paperback
Page Count 348
Imprint Routledge
Publisher Taylor & Francis Ltd
Weight(grams) 45g