- 216 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books? webpage: www.sagepub.co.uk/wrightandlondon.
Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter.
Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets.
The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Very brief introduction to R
- 2 The basic regression
- 3 ANOVA as regression
- 4 ANCOVA: Lord’s paradox and mediation analysis
- 5 Model selection and shrinkage
- 6 Generalized linear models (GLMs)
- 7 Regression splines and generalized additive models (GAMs)
- 8 Multilevel models
- 9 Robust regression
- 10 Conclusion – make your data cool
- Glossary of R functions used in this book
- References
- Index
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Yes, you can access Modern Regression Techniques Using R by Daniel B Wright,Kamala London in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.