Longitudinal Data Analysis for the Behavioral Sciences Using R

This volume on research technologies in the behavioral sciences provides graduate level students and researchers with detailed information on the development of robust longitudinal analysis tools using the statistical modeling application R. The work provides both theoretical and practical explanations of analysis processes, and covers such topics as data structures for longitudinal analysis, graphing data, linear mixed effects regression, maximum likelihood estimation, multi-model inference, likelihood ratio testing, time predictors and modeling non-linear change. Chapters include detailed R examples, illustrations and tables and access to additional online resources, including data sets used in the text and R code snippets, is provided. Long is a professor of psychiatry at the University of Iowa. Annotation c2011 Book News, Inc., Portland, OR (booknews.com)