ABSTRACT
Despite the growth of sophisticated techniques for multivariate analysis, contingency tables remain a common means for reporting results in both the popular and professional literature. There is good reason for this: contingency tables give readable overviews of the data, and they also illuminate differences among nominal categories or trends across ordinal categories. Furthermore, through cross-tabulation within categories of control variables, they can be used to characterize multivariate relationships.
