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ARS Home » Research » Publications at this Location » Publication #306332
Title: Correspondence analysis

Author
item Thomson, Jessica

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 8/20/2014
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Correspondence analysis is a powerful exploratory multivariate technique for categorical variables with many levels. It is a data analysis tool that characterizes associations between levels of 2 or more categorical variables using graphical representations of the information in a contingency table. It is particularly useful when categorical variables have many levels. This presentation will give a brief introduction and overview of the use of correspondence analysis, including examples interpreting both simple and multiple correspondence plots.