Multiple Correspondence Analysis

Authored by: François Husson , Julie Josse

Visualization and Verbalization of Data

Print publication date:  April  2014
Online publication date:  April  2014

Print ISBN: 9781466589803
eBook ISBN: 9781466589810
Adobe ISBN:

10.1201/b16741-14

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Abstract

Multiple correspondence analysis (MCA) is a method of analyse des données used to describe, explore, summarize, and visualize information contained within a data table of N individuals described by Q categorical variables. This method is often used to analyse questionnaire data. It can be seen as an analogue of principal components analysis (PCA) for categorical variables (rather than quantitative variables) or even as an extension of correspondence analysis (CA) to the case of more than two categorical variables.

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