Abstract
A review of association measures of effect size between two categorical variables in contingency tables is presented. Relationships among measures of effect size are explicated by considering the test statistics of independence, the nominal or ordinal nature of categorical variables, and the size of contingency tables. Tables that contain minimum sample sizes for testing independence between two categorical variables in contingency tables are also presented. Cramer’s V2 was employed as a main measure of association in tabulation. Illustrations are provided using data from 2018 General Social Survey for obtaining test statistics and measures of effect size for contingency tables. Determining appropriate sample sizes for statistical analysis of data in contingency tables is important for studies in behavioral sciences.
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