Titre : | Multiple Correspondence Analysis |
Auteurs : | B. LE ROUX ; H. ROUANET |
Type de document : | Livre |
Editeur : | Sage Publications, 2010 |
Collection : | Quantitative Applications in the Social Sciences, num. n°163 |
ISBN/ISSN/EAN : | 978-1-4129-6897-3 |
Format : | 115 p. / ann., index |
Langues: | Anglais |
Discipline : | SHS (Sciences humaines et sociales / Humanities and social sciences) |
Mots-clés : |
Thésaurus mots-clés MODELE STATISTIQUE ; METHODE |
Résumé : |
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. |
Note de contenu : |
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 |
Domaine : | Hors addiction / No addiction |
Affiliation : | Université Paris Descartes, France |
Cote : | USUEL 66 |
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