A Course in Categorical Data Analysis

Chatfield, Chris (Series edited by)/ Zidek, Jim (Series edited by)/ Lindsey, Jim (Series edited by)/ Leonard, Thomas (Author)

ISBN 10: 1584881801 / ISBN 13: 9781584881803

Published by Chapman & Hall, 1999

About this Item

1st edition. 208 pages. 9.00x6.00x0.50 inches. In Stock.

Seller Inventory # __1584881801

Bibliographic Details

• Title: A Course in Categorical Data Analysis
• Publisher: Chapman & Hall
• Publication Date: 1999
• Language: English
• ISBN 10: 1584881801
• ISBN 13: 9781584881803
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge. Therefore, the ability to manipulate, understand, and interpret categorical data becomes of interest-if not essential-to professionals and students in a broad range of disciplines. Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered in introductory statistics courses. Developed from long experience in teaching categorical analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most straightforward ways of extracting real-life conclusions from contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. Although he offers S-PLUS routines through the Internet, readers do not need full knowledge of a statistical software package. In this unique text, the author chooses methods and an approach that nurtures intuitive thinking. He trains his readers to focus not on finding a model that fits the data, but on using different models that may lead to meaningful conclusions. The book offers some simple, innovative techniques not highighted in other texts that help make the book accessible to a broad, interdisciplinary audience. A Course in Categorical Data Analysis enables readers to quickly use its offering of tools for drawing scientific, medical, or real-life conclusions from categorical data sets.

About the Author

Leonard, Thomas