Title: A course in categorical data analysis
First published: 2000
Description: "Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data and categorical data require a different methodology and techniques typically not encountered in introductory statistics courses.

Developed from long experience in teaching categorical data analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most direct ways of extracting real-life conclusions from contingency tables. Written from a Fisherian viewpoint, the author incorporates numerous examples and real data sets.

S-PLUS routines are available through the Internet, but readers do not need full knowledge of a statistical software package - a background in elementary statistics and basic algebra will suffice."--BOOK JACKET.
Subjects: Multivariate analysis, Data editing
LC classification: QA278 .L465 2000