Titre : | Multiple correspondence analysis |
Auteurs : | Brigitte Le roux ; Henry Rouanet |
Type de document : | Books |
Année de publication : | 2010 |
Article en page(s) : | 1 vol. (X, 115 p.) |
ISBN/ISSN/EAN : | 978-1-4129-6897-3 |
Langues: | Anglais |
Index. décimale : | 519.23 |
Tags : | Correspondence analysis (Statistics) ; Multiple comparisons (Statistics) ; Social sciences--Statistical methods |
Résumé : |
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 |
Exemplaires (1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
---|---|---|---|---|---|
112879R | SCGW-PSPS 303 LERO | Book | Royal Military Academy | Sciences du comportement | Disponible |