ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models

Measures of effect size are recommended to communicate information on the strength of relationships. Such information supplements the reject/fail-to-reject decision obtained in statistical hypothesis testing. Because sample effect sizes are subject to sampling error, as is any sample statistic, computing confidence intervals for these statistics is a useful strategy to represent the magnitude of uncertainty about the corresponding population effect sizes. This paper provides a SAS macro for computing common effect sizes associated with analysis of variance models. By utilizing data from PROC GLM ODS tables, the macro produces point and interval estimates of etasquared, partial eta-squared, omega-squared, and partial omega-squared. This paper provides the macro programming language, as well as results from an executed example of the macro.