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Longitudinal Data Analysis for the Behavioral Sciences Using R
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Longitudinal Data Analysis for the Behavioral Sciences Using R



December 2011 | 568 pages | SAGE Publications, Inc
This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time. Such data is collected by researchers in psychology, education, organization studies, public policy, and related fields. A variety of substantive research questions are addressed with longitudinal data, including how student achievement changes over time, how psychopathology develops, and how intra-group conflict evolves.
 
About the Author
 
Preface
 
Chapter 1. Introduction
 
Chapter 2. Brief Introduction to R
 
Chapter 3. Data Structures and Longitudinal Analysis
 
Chapter 4. Graphing Longitudinal Data
 
Chapter 5. Introduction to Linear Mixed Effects Regression
 
Chapter 6. Overview of Maximum Likelihood Estimation
 
Chapter 7. Multimodel Inference and Akaike's Information Criterion
 
Chapter 8. Likelihood Ratio Test
 
Chapter 9. Selecting Time Predictors
 
Chapter 10. Selecting Random Effects
 
Chapter 11. Extending Linear Mixed Effects Regression
 
Chapter 12. Modeling Nonlinear Change
 
Chapter 13. Advanced Topics
 
Appendix: Soft Introduction to Matrix Algebra
 
References
 
Author Index
 
Subject Index

I am currently trying to introduce this text to my course this spring, though I am getting some resistance. I'm finding that most of my students are not familiar enough with R and I can't devote enough class time to help them learn R AND learn about growth modeling. At least for now, considering how the course is structured, I plan to use it as a supplemental text.

Dr Justin Heinze
Educational Psychology, University of Illinois - Chicago
March 5, 2012
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Chapter 1: Introduction

Chapter 2: Brief Introduction to R


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Hardcover
ISBN: 9781412982689
£82.00

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