Stuart's tau measure of effect size for ordinal variables: Some methodological considerations

摘要

The reporting of measures of effect size has become increasingly important in psychology. A Monte Carlo resampling permutation procedure is introduced to find near-optimum maximum values for Stuart's τ_c measure for two- way ordinal contingency tables, also termed Kendall's τ_c since Kendall introduced τ_a and τ_b. Comparisons between resampling and exact procedures demonstrate the accuracy and utility of resampling measures of effect size for two-way ordinal contingency tables. The resampling procedure is shown to be more precise than the traditional method of standardizing τ_c.