Analysis of Categorical Data : : Dual Scaling and its Applications / / Shizuhiko Nishisato.

• Superior document: Title is part of eBook package: De Gruyter University of Toronto Press eBook-Package Archive 1933-1999
• VerfasserIn: Nishisato, Shizuhiko,
• Place / Publishing House: Toronto : : University of Toronto Press, , [2019]; ©1980
• Year of Publication: 2019
• Language: English
• Series: Heritage
• Physical Description: 1 online resource (292 p.)
• Other title: Frontmatter --; Contents --; Preface --; 1. Introduction --; 2. Dual scaling I --; 3. Dual scaling II --; 4. Contingency (two-item) and response-frequency tables --; 5. Response-pattern table: multiple-choice (n-item) data --; 6. Rank order and paired comparison tables --; 7. Multidimensional tables --; 8. Miscellaneous topics --; APPENDICES --; A. Matrix Calculus --; B. Computer program --; References --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781487577995; 9783110490947
• DOI: 10.3138/9781487577995
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Shizuhiko Nishisato.

This volume presents a unified and up-to-date account of the theory and methods of applying one of the most useful and widely applicable techniques of data analysis, ‘dual scaling.’ It addresses issues of interest to a wide variety of researchers concerned with data that are categorical in nature or by design: in the life sciences, the social sciences, and statistics.The eight chapters introduce the nature of categorical data and concept of dual scaling and present the applications of dual scaling to different forms of categorical data: the contingency table, the response-frequency table, the response-pattern table for multiple-choice data, ranking and paired comparison data, multidimensional tables, partially ordered and successively ordered categories, and incomplete data. The book also includes appendices outlining a minimum package of matrix calculus and a small FORTRAN program.Clear, concise, and comprehensive, Analysis of Categorical Data will be a useful textbook or handbook for students and researcher in a variety of fields.