Visualization of categorical data 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 * CHAID * Formal Concept Analysis * Graphical Models 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. Carlier and P.M. Kroonenberg The Case of the French Cantons: An Application of Three Way Correspondence Analysis. J.J. Meulman and W.J. Heiser Visual Display of Interaction in Multiway Contingency Tables by Homogeneity in Analysis: the 2 x 2 x 2 Case. S. Balbi Graphical Displays in Non Symmetric Correspondence Analysis. R. Siciliano and F. Mola Ternary Classification Trees: A Factorial Approach. Multidimensional Scaling and Biplot: A. Kimball Ronney C.C. Moore and T.J. Brazill Correspondence Analysis as A Multidimensional Scaling Technique for Non Frequency Similarity Matrices. I. Borg and P.J.F. Groenen Regional Interpretations in Multidimensional Scaling. C.M. Cuadras and J. Fortiana Visualizing Categorical Data with Related Metric Scaling. M. Vuylsteke Wauters J. Billiet H. De Witte and F. Symons Contrasting the Electorates of Eight Political Parties: A Visual Presentation Using the Biplot. K. Ruben Gabriel M. Purificacion Galindo and J.L. Vicente Villardon Use of Biplots to Diagnose Independence Models in Three Way Contingency Tables. J.C. Gower and S.A. Harding Prediction Regions for Categorical Variables. Visualization in Modeling: C.C. Clogg T. Rudas and S. Matthews Analysis of Contingency Tables Using Graphical Displays Based on the Mixture Index of Fit. Y. Takane Visualization in Ideal Point Discriminant Analysis. U. Bickenholt Modeling Time Dependent Preferences: Drifts in Ideal Points. A.L. McCutcheon Correspondence Analysis Used Complementary to Latent Class Analysis in Comparative Social Research. L. Andries van der Ark and P.G.M. van der Heijden Graphical Display of Latent Class Analysis with Special Reference to Correspondence Analysis. J. Magidson Using New General Ordinal Logit Displays to Visualizethe Effects in Categorical Outcome Data. A. de Falguerolles Log bilinear Biplots in Action. References. Index