Multiple Correspondence Analysis

Informationen zum Autor Brigitte Le Roux has a doctorate in mathematics ( specialty Statistics ) ( Faculty of Sciences in Paris , 1970) and holds an HDR in Applied Mathematics ( University of Paris Dauphine , 2000) . She is a member of the laboratory MAP5 ( Applied Mathematics Paris 5) of the University Paris Descartes . His research focuses on the geometric data analysis and its applications in social sciences and in particular to the analysis of questionnaires . Brigitte Le Roux is a member of the editorial board of the journal Mathematics and Humanities and the Acts of Research in Social Sciences . Klappentext This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation is practically oriented and with the needs of research in mind: gathering relevant data, formulating questions of interest, and linking statistical interpretation to geometric representations. The procedures are presented in detail using a real example, stressing the unique capacity of MCA to handle full scale research studies. Zusammenfassung This book provides a nontechnical introduction to Multiple Correspondence Analysis Inhaltsverzeichnis About the Authors Series Editor¿s Introduction Acknowledgments 1. Introduction 2. The Geometry of a Cloud of Points 3. The Method of Multiple Correspondence Analysis 4. Structured Data Analysis 5. Inductive Data Analysis 6. Full-Scale Research Studies Appendix References Index ...

Product details

• Authors: Brigitte Le Roux, Henry Rouanet, Rouanet Henry, Brigitte Le Roux, Brigitte Le Rouanet Roux
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 19.01.2010
• EAN: 9781412968973
• ISBN: 978-1-4129-6897-3
• No. of pages: 128
• Dimensions: 140 mm x 215 mm x 5 mm
• Series: Quantitative Applications in the Social Sciences; Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology > General, dictionaries; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics, Data analysis: general, Data science and analysis: general