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Using a practical approach, 'Multiple Correspondence Analysis and Related Methods' brings together the theory and applications of multiple correspondence analysis into a single volume. Because multiple correspondence analysis methods are capable of handling high-dimensional categorical data, they are applicable to survey research efforts in areas such as the social sciences, marketing, health economics, and biomedicine. This book contains a comprehensive overview of these applications. The text also features software notes for each chapter, an appendix on available software, R programs for applying the various methods, and numerous worked examples and case studies.