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Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It may be seen as an extension of: * Principal component analysis (PCA) when variables are quantitative, * Multiple correspondence analysis (MCA) when variables are qualitative, * Factor analysis of mixed data (FAMD) when the active variables belong to the two types.

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  • L’analyse factorielle multiple (AFM) est la méthode factorielle adaptée à l’étude des tableaux dans lesquels un ensemble d’individus est décrit par un ensemble de variables (quantitatives et/ou qualitatives) structuré en groupes. Elle peut être vue comme une extension : * de l’Analyse en Composantes Principales (ACP) lorsque les variables sont quantitatives, * de l’Analyse des Correspondances Multiples (ACM) lorsque les variables sont qualitatives, * de l’Analyse Factorielle de Données Mixtes (AFDM) lorsque les variables actives sont des deux types. (fr)
  • Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It may be seen as an extension of: * Principal component analysis (PCA) when variables are quantitative, * Multiple correspondence analysis (MCA) when variables are qualitative, * Factor analysis of mixed data (FAMD) when the active variables belong to the two types. (en)
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  • February 2018 (en)
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  • L’analyse factorielle multiple (AFM) est la méthode factorielle adaptée à l’étude des tableaux dans lesquels un ensemble d’individus est décrit par un ensemble de variables (quantitatives et/ou qualitatives) structuré en groupes. Elle peut être vue comme une extension : * de l’Analyse en Composantes Principales (ACP) lorsque les variables sont quantitatives, * de l’Analyse des Correspondances Multiples (ACM) lorsque les variables sont qualitatives, * de l’Analyse Factorielle de Données Mixtes (AFDM) lorsque les variables actives sont des deux types. (fr)
  • Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It may be seen as an extension of: * Principal component analysis (PCA) when variables are quantitative, * Multiple correspondence analysis (MCA) when variables are qualitative, * Factor analysis of mixed data (FAMD) when the active variables belong to the two types. (en)
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  • Analyse factorielle multiple (fr)
  • Multiple factor analysis (en)
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