Categorical Data Analysis by Example

<p><b>Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code</b></p> <p>This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject.</p> <p>Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book:</p> <ul> <li>Uses an example to illustrate each new topic in categorical data</li> <li>Provides a clear explanation of an important subject</li> <li>Is understandable to most readers with minimal statistical and mathematical backgrounds</li> <li>Contains examples that are accompanied by R code and resulting output</li> <li>Includes starred sections that provide more background details for interested readers</li> </ul> <p><i>Categorical Data Analysis by Example </i>is a reference for students in statistics and researchers in other disciplines, especially the social sciences, who use categorical data. This book is also a reference for practitioners in market research, medicine, and other fields.</p>