This guide provides accessible transformations for meta-analytic effect sizes for non-research audiences, enhancing understanding.
Key Points
The aim is to improve how researchers present meta-analytic effect sizes to non-research audiences to facilitate better understanding and application.
Developed accessible transformations for standardized mean difference effect sizes from random-effects models.
Provided calculations, R code, and statistical interpretations geared towards non-research audiences.
Reviewed literature on comprehension of these transformations by non-research audiences.
Introduced four transformation methods: Cohen’s U 3, overlapping coefficient, common language effect size, and probability of study effect superiority.
Summarized findings on non-researcher comprehension of these transformations, highlighting areas needing further research.