1. Software for categorical data analyses: Here is a file containing information and links for several software packages.

Dr. Laura Thompson has prepared a detailed manual on the use of R or S to conduct all the analyses in the CDA text. You can get a copy of this excellent resource at Laura Thompson R and S manual for CDA. Thanks very much to Dr. Thompson for providing this manual. For my lower-level text, An Introduction to Categorical Data Analysis (2nd ed. 2007), an especially useful resource is the website of Chris Bilder, where the link to R has examples of the use of R for most chapters of the text and the link to Schedule has course notes following the ICDA text as well as imbedded R code and output. He also has an extremely useful set of links at the "Link" branch on his menu, including links to home pages for various courses on categorical data analysis. 2. Primary datasets: For data sets for many of the main examples in the text, in the form of SAS programs for conducting the analyses, click on 3. Other datasets not shown in text: Here is a pdf file of**other datasets**used in some of the homework exercises for which tables are not shown in the text.

**solutions**for many of the odd-numbered exercises at the ends of the chapters:

**corrections**of typos/errors in the second edition.

8. I had intended to include a chapter in the second edition on Bayesian analyses for categorical data analysis (to beef up the short section in Chapter 15), but the book just became too long. However, David Hitchcock (Statistics Dept., Univ. of South Carolina) and I have written a survey paper about such methods:

**Bayesian inference for categorical data analysis**that appeared in Statistical Methods and Applications, the Journal of the Italian Statistical Society, in 2005 (volume 14, pages 297-330). It was partly a by-product of a very nice summer that I spent in Florence, Italy.

A somewhat longer version of this paper is a

**UF technical report**in the Statistics Department at UF.