Summary
Contents
Subject index
In a way that is refreshingly engaging and readable, Wright and London describe the most useful regression 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 out using a range of real research examples conducted by the authors in every chapter. The authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.
ANOVA as regression
ANOVA as regression
Learning outcomes
- Running a oneway ANOVA as a regression;
- Using different contrasts in R;
- Learning why you should not categorize variables unless necessary;
- Learning how R treats factors and numeric variables.
This chapter covers two almost opposite topics. This first is what to do if you have predictor variables that are categorical. This involves using ...
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