Multiple Correspondence Analysis
eBook - ePub

Multiple Correspondence Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Multiple Correspondence Analysis

About this book

Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.

Key Features

  • Readers learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations.
  • They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.
  • The text uses real examples to help explain concepts.
  • The authors stress the distinctive capacity of MCA to handle full-scale research studies.

This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.

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Yes, you can access Multiple Correspondence Analysis by Brigitte Le Roux,Henry Rouanet in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. About the Authors
  6. Series Editor’s Introduction
  7. Acknowledgments
  8. Chapter 1. Introduction
  9. Chapter 2. The Geometry of a Cloud of Points
  10. Chapter 3. The Method of Multiple Correspondence Analysis
  11. Chapter 4. Structured Data Analysis
  12. Chapter 5. Inductive Data Analysis
  13. Chapter 6. Full-Scale Research Studies
  14. Appendix
  15. References
  16. Index