Historique
Livre
Multiple Correspondence Analysis
Auteur(s) :
LE ROUX, B. ;
ROUANET, H.
Année
2010
Page(s) :
115 p.
Langue(s) :
Anglais
Éditeur(s) :
Sage Publications
Collection :
Quantitative Applications in the Social Sciences, n°163
ISBN :
978-1-4129-6897-3
Domaine :
Hors addiction / No addiction
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
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
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.
The procedures are presented in detail using a real example, stressing the unique capacity of MCA to handle full scale research studies.
Affiliation :
Université Paris Descartes, France
Cote :
USUEL 66