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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010304348 | H62 L64 2012 | Open Access Book | Book | Searching... |
Searching... | 30000010297989 | H62 L64 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
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
Table of Contents
| About the Author | p. xv |
| Preface | p. xviii |
| 1 Introduction | p. 1 |
| 2 Brief Introduction to R | p. 33 |
| 3 Data Structures and Longitudinal Analysis | p. 63 |
| 4 Graphing Longitudinal Data | p. 105 |
| 5 Introduction to Linear Mixed Effects Regression | p. 147 |
| 6 Overview of Maximum Likelihood Estimation | p. 191 |
| 7 Multimodel Inference and Akaike's Information Criterion | p. 227 |
| 8 Likelihood Ratio Test | p. 258 |
| 9 Selecting Time Predictors | p. 321 |
| 10 Selecting Random Effects | p. 357 |
| 11 Extending Linear Mixed Effects Regression | p. 405 |
| 12 Modeling Nonlinear Change | p. 443 |
| 13 Advanced Topics | p. 489 |
| Appendix: Soft Introduction to Matrix Algebra | p. 515 |
| References | p. 525 |
| Author Index | p. 535 |
| Subject Index | p. 539 |
