Longitudinal Data Analysis for the Behavioral Sciences Using R

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Overview

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.

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Product Details

  • ISBN-13: 9781412982689
  • Publisher: SAGE Publications
  • Publication date: 10/25/2011
  • Pages: 568
  • Product dimensions: 7.10 (w) x 9.90 (h) x 0.90 (d)

Meet the Author

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 Huntington's Disease (PREDICT-HD), a longitudinal NIH-funded study of early detection of Huntington's 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.
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Table of Contents

About the Author xv

Preface xviii

1 Introduction 1

2 Brief Introduction to R 33

3 Data Structures and Longitudinal Analysis 63

4 Graphing Longitudinal Data 105

5 Introduction to Linear Mixed Effects Regression 147

6 Overview of Maximum Likelihood Estimation 191

7 Multimodel Inference and Akaike's Information Criterion 227

8 Likelihood Ratio Test 258

9 Selecting Time Predictors 321

10 Selecting Random Effects 357

11 Extending Linear Mixed Effects Regression 405

12 Modeling Nonlinear Change 443

13 Advanced Topics 489

Appendix: Soft Introduction to Matrix Algebra 515

References 525

Author Index 535

Subject Index 539

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