An Introduction to Categorical Data Analysis
Praise for the First Edition
"This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended."
"Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few."
"Alan Agresti has written another brilliant account of the analysis of categorical data."
The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses.
This Second Edition features:
Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more.
An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.
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2 Contingency Tables
3 Generalized Linear Models
4 Logistic Regression
5 Building and Applying Logistic Regression Models
6 Multicategory Logit Models
7 Loglinear Models for Contingency Tables
8 Models for Matched Pairs
10 Random Effects Generalized Linear Mixed Models
11 A Historical Tour of Categorical Data Analysis
Appendix A Software for Categorical Data Analysis
Appendix B ChiSquared Distribution Values
Brief Solutions to Some OddNumbered Problems
9 Modeling Correlated Clustered Responses