Modern Regression Techniques Using R: A Practical Guide for Students and Researchers

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Overview

In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala 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 via the SAGE homepage. 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 using a range of real research examples conducted by the authors in every chapter.

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Product Details

  • ISBN-13: 9781847879035
  • Publisher: SAGE Publications
  • Publication date: 3/5/2009
  • Edition description: New Edition
  • Pages: 218
  • Product dimensions: 6.60 (w) x 9.50 (h) x 0.50 (d)

Meet the Author

Daniel B Wright is a Lecturer in the Department of Psychology at the University of Bristol

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Table of Contents

Very Brief Introduction to R
Very brief introduction to R
The basic regression
ANOVA as regression
ANCOVA: Lord's paradox and mediation analysis
Model selection and shrinkage
Generalized linear models (GLMs)
Regression splines and generalized additive models (GAMs)
Multilevel models
Robust regression
Conclusion - make your data cool

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