As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su

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Yes, you can access Multiple Correspondence Analysis and Related Methods by Michael Greenacre, Jorg Blasius, Michael Greenacre, Jorg Blasius in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2006

ISBN

9781420011319

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Front Cover
Preface
About the authors
Table of Contents
1. Correspondence Analysis and Related Methods in Practice
2. From Simple to Multiple Correspondence Analysis
3. Divided by a Common Language: Analyzing and Visualizing Two-Way Arrays
4. Nonlinear Principal Component Analysis and Related Techniques
5. The Geometric Analysis of Structured Individuals × Variables Tables
6. Correlational Structure of Multiple-Choice Data as Viewed from Dual Scaling
7. Validation Techniques in Multiple Correspondence Analysis
8. Multiple Correspondence Analysis of Subsets of Response Categories
9. Scaling Unidimensional Models with Multiple Correspondence Analysis
10. The Unfolding Fallacy Unveiled: Visualizing Structures of Dichotomous Unidimensional Item–Response–Theory Data by Multiple Correspondence Analysis
11. Regularized Multiple Correspondence Analysis
12. The Evaluation of “Don’t Know” Responses by Generalized Canonical Analysis
13. Multiple Factor Analysis for Contingency Tables
14. Simultaneous Analysis: A Joint Study of Several Contingency Tables with Different Margins
15. Multiple Factor Analysis of Mixed Tables of Metric and Categorical Data
16. Correspondence Analysis and Classification
17. Multiblock Canonical Correlation Analysis for Categorical Variables: Application to Epidemiological Data
18. Projection-Pursuit Approach for Categorical Data
19. Correspondence Analysis and Categorical Conjoint Measurement
20. A Three-Step Approach to Assessing the Behavior of Survey Items in Cross-National Research
21. Additive and Multiplicative Models for Three-Way Contingency Tables: Darroch (1974) Revisited
22. A New Model for Visualizing Interactions in Analysis of Variance
23. Logistic Biplots
Appendix
References
Index