Longitudinal Data Analysis for the Behavioral Sciences Using R
eBook - ePub

Longitudinal Data Analysis for the Behavioral Sciences Using R

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Longitudinal Data Analysis for the Behavioral Sciences Using R

About this book

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

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Yes, you can access Longitudinal Data Analysis for the Behavioral Sciences Using R by Jeffrey D. Long in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Dedication
  3. Title
  4. Copyright
  5. Brief Contents
  6. Detailed Contents
  7. About the Author
  8. Preface
  9. 1 Introduction
  10. 2 Brief Introduction to R
  11. 3 Data Structures and Longitudinal Analysis
  12. 4 Graphing Longitudinal Data
  13. 5 Introduction to Linear Mixed Effects Regression
  14. 6 Overview of Maximum Likelihood Estimation
  15. 7 Multimodel Inference and Akaike’s Information Criterion
  16. 8 Likelihood Ratio Test
  17. 9 Selecting Time Predictors
  18. 10 Selecting Random Effects
  19. 11 Extending Linear Mixed Effects Regression
  20. 12 Modeling Nonlinear Change
  21. 13 Advanced Topics
  22. Appendix: Soft Introduction to Matrix Algebra
  23. References
  24. Author Index
  25. Subject Index