This Title All WIREs
How to cite this WIREs title:
WIREs Comp Stat

Multiple and multiway correspondence analysis

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

One of the most popular, and versatile, ways of visually analyzing the associating between categorical data is to perform a correspondence analysis on the contingency table that is formed from their cross‐classification. Traditionally the analysis of multiple categorical variables involves transforming such a table into a two‐way form through “flattening,” stacking or by some other means; doing so leads to simple or multiple correspondence analysis. Although such a transformation does not always preserve some of the truly multivariate nature of the association. Therefore one may instead adopt the less common multiway correspondence analysis. This paper will briefly explore the development, literature, and possible research opportunities of multiple and multiway correspondence analysis. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Multivariate Analysis Statistical and Graphical Methods of Data Analysis > Dimension Reduction Data: Types and Structures > Categorical Data

Browse by Topic

Statistical and Graphical Methods of Data Analysis > Dimensional Reduction
Statistical and Graphical Methods of Data Analysis > Multivariate Analysis
Data: Types and Structure > Categorical Data

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts