Multiple and multiway correspondence analysis

Title: Multiple and multiway correspondence analysis
Creator: Beh, Eric J.; Lombardo, Rosaria
Relation: Wiley Interdisciplinary Reviews: Computational Statistics Vol. 11, Issue 5, no. e1464
Publisher Link: http://dx.doi.org/10.1002/wics.1464
Publisher: Wiley
Resource Type: journal article
Date: 2019
Description: 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.
Subject: categorical data; correspondance analysis; generalized singular value decomposition; multiple tables; multiway tables; singular value decomposition
Identifier: http://hdl.handle.net/1959.13/1417711
Identifier: uon:37241
Identifier: ISSN:1939-0068
Language: eng
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