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