eBook - PDF
Multiple Correspondence Analysis and Related Methods
- 608 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Multiple Correspondence Analysis and Related Methods
About this book
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
Table of contents
- 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