Multiple Correspondence Analysis
Brigitte Le Roux, Henry Rouanet
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Sachbuch / Natur und Gesellschaft: Allgemeines, Nachschlagewerke
Beschreibung
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.
Kundenbewertungen
Quantitative Applications in the Social Sciences, Inductive Data Analysis, Multiple Correspondence Analysis, Structured Data Analysis, Typicality Tests, Observational Data, Cloud of Points, Homogeneity Tests, Concentration Ellipses, Statistical Data Analysis, Methodological Points, QASS