A unique and timely monograph, Visualization of Categorical Data contains a useful balance of theoretical and practical material on this important new area. Top researchers in the field present the books four main topics: visualization, correspondence analysis, biplots and multidimensional scaling, and contingency table models.
This volume discusses how surveys, which are employed in many different research areas, generate categorical data. It will be of great interest to anyone involved in collecting or analyzing categorical data.
* Correspondence Analysis
* Homogeneity Analysis
* Loglinear and Association Models
* Latent Class Analysis
* Multidimensional Scaling
* Cluster Analysis
* Ideal Point Discriminant Analysis
* Formal Concept Analysis
* Graphical Models
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This book comprises chapters from numerous researchers in fields using categorical data, especially the social sciences. The context for this categorical data is visualization; the content explores categorical data through graphical displays such as maps, trees, custom-designed computer graphics, and geometric shapes. Topical coverage also includes models for categorical data and the use of visual tools to aid in the interpretation of models and the modeling processAbout the Author:
Jorg Blasius is Researcher at the Zentralarchiv fur empirische Sozialforschung at the University of Cologne. His primary research interests are multivariate exploratory analysis, urban research, life-styles and methods of empirical social research.
Michael J. Greenacre is Professor of Statistics at the University of South Africa. He has been involved with the theoretical development and practical applications of correspondence analysis in the USA, UK, South Africa and Germany. Previous publications include Theory and Applications of Correspondence Analysis (Academic Press, 1984) and Correspondence Analysis in Practice (Academic Press, 1993).
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Book Description Academic Press, 1998. Hardcover. Book Condition: New. First Edition. Bookseller Inventory # DADAX0122990455