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Longitudinal Data Analysis for the Behavioral Sciences Using R Jeffrey D. Long

Longitudinal Data Analysis for the Behavioral Sciences Using R By Jeffrey D. Long

Longitudinal Data Analysis for the Behavioral Sciences Using R by Jeffrey D. Long


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Summary

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.

Longitudinal Data Analysis for the Behavioral Sciences Using R Summary

Longitudinal Data Analysis for the Behavioral Sciences Using R by Jeffrey D. Long

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

About Jeffrey D. Long

Jeffrey D. Long, PhD, is Professor of Psychiatry in the Carver College of Medicine at the University of Iowa. He is also the Head Statistician for Neurobiological Predictors of Huntingtons Disease (PREDICT-HD), a longitudinal NIH-funded study of early detection of Huntingtons Disease. His undergraduate degree is from the University of California at Los Angeles, and his doctoral degree is from the University of Southern California in the area of quantitative psychology.

Table of Contents

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 Akaikes 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

Additional information

NPB9781412982689
9781412982689
1412982685
Longitudinal Data Analysis for the Behavioral Sciences Using R by Jeffrey D. Long
New
Hardback
SAGE Publications Inc
2011-12-13
568
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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