Effect sizes for contrasts of estimated marginal effects

The statistical literature is replete with calls to report standardized measures of effect size alongside traditional p-values and null hypothesis tests. While effect-size such as Cohen’s d Hedges’s g are straightforward calculate for t tests, this not the case parameters in more complex linear models, where η 2 ω face limitations. After a review sizes their implementation Stata, I introduce community-contributed command mces. This postestimation reports statistics dichotomous comparisons marginal-effect contrasts obtained from margins mimrgns, including samples, continuous outcome variables. mces provides Stata users ability estimates many modeling applications.