Abstract
This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square. Examples and a MATLAB source listing are provided.
Highlights
Introduction to bivariate and multivariate analysisGlenville, IL: Scott, Foresman & Company.Macdonald, P
The use of BMD09M, BMDP6M or BMDX75 for the Mickey method is straightforward since there are different options as to what the canonical correlation analysis would use in terms of the dispersion matrix
In examining the first set of canonical coefficients that corresponds to the largest canonical correlation we find Current User, Past User and
Summary
Introduction to bivariate and multivariate analysisGlenville, IL: Scott, Foresman & Company.Macdonald, P. The traditional approach to 2-dimensional contingency tables did not yield information about categorical variables in the same way that canonical correlation could (Mickey, 1970). Et al.’s (2000) approach was to take a contingency table and transform it into a correlation matrix that is submitted to a canned computer program such as SPSS1 or SAS for canonical analysis. This paper will examine the Mickey method of analyzing contingency table data using canonical correlation.
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