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.

Key Features

@bul:* Correspondence Analysis * Homogeneity Analysis * Loglinear and Association Models * Latent Class Analysis * Multidimensional Scaling * Cluster Analysis * Ideal Point Discriminant Analysis * CHAID * Formal Concept Analysis * Graphical Models


Anyone who collects and organizes categorical data; researchers and students in the social sciences (i.e. sociology), marketing and political science.

Table of Contents

J. de Leeuw, Keynote Chapter: Heres Looking at Multivariables. Graphics for Visualization: M. Friendly, Conceptual Models for Visualizing Contingency Table Data. J.-H. Chauchat and A. Risson, BERTINs Graphics and Multidimensional Data Analysis Methods. B. Francis, M. Fuller, and J. Pritchard, The Use of Visualization in the Examination of Categorical Event Histories. T. Aluja-Banet and E. Nafroa, General Impurity and Data Diagnostics in Decision Trees. U. Frick, J. Rehm, K.E. Wolff, and M. Laschat, Obstetricians Attitudes on Perinatal Risk: The Role of Quantitative and Conceptual Scaling Procedures. K.E. Wolff and S. Gabler, Comparison of Visualizations in Formal Concept Analysisand Correspondence Analysis. V. Choulakian and J. Allard, The Z-Plot: A Graphical Procedure for Contingency Tables with an Ordered Response Variable. Correspondence Analysis: I. Partchev, Using Visualization Techniques to Explore Bulgarian Politics. B. Martens and J. Kastl, Visualization of Agenda Building Processes by Correspondence Analysis. L. Lebart, Visualizations of Textual Data. M.B. Bertaut Visualization of Open Questions: French Study of Pupils Attitudes to Mathematics. F. Fehlen, The Cloud of Candidates. Exploring the Political Field. C. Tarnai and U. Wuggenig, Normative Integration of the Avant-garde? Traditionalism in the Art Fields of Vienna, Hamburg, and Paris. S. Nishisato, Graphing is Believing: Interpretable Graphs for Dual Scaling. B. Le Roux and H. Rouanet, Interpreting the Axes in Multiple Correspondence Analysis: Method of the Contributions of Points and Deviations. M. Greenacre, Diagnostics for Joint Displays in Correspondence Analysis. V. Thiessen and J. Blasius, Using Multiple Correspondence Analysis to Distinguish between Substantive and Non-Substantive Responses. A. Car


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© 1998
Academic Press
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About the authors

Jörg Blasius

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.

Affiliations and Expertise

Zentralarchiv fur empirische Sozialforschung

Michael Greenacre

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).

Affiliations and Expertise

University of South Africa, Pretoria