Longitudinal Data Analysis for the Behavioral Sciences Using R

A practical guide for the analysis of longitudinal behavioural data. It addresses a variety of substantive research questions with longitudinal data, including how student achievement changes over time, how psychopathology develops, and how intra-group conflict evolves.

This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.

"This text excels in the explanation of models with the side-by-side use of R, so the audience can see the models in action. There is a gentle coverage of the mathematics driving the models, which does not seem intimidating to a non technical audience."—William Anderson, Cornell University