Evaluating Interventions: A Practical Primer for Specifying the Smallest Effect Size of Interest

• DOI: 10.31234/osf.io/3qmj4
• Publication Date: 2024-01-20T05:00:56Z
• Authors: Hannah Katharina ...; Maximilian Primbs; leonie dudda; Pia K. Andresen; Charlotte Rebecca...; Samuel James West...; Erin Michelle Buc...

Effect sizes provide important information to evaluate the effectiveness and meaningfulness of various interventions, strategies, or initiatives. However, researchers often experience difficulty in deciding what effect are meaningful how interpret them. In this chapter, we present Smallest Size Interest (SESOI) approach size interpretation, which represents smallest a researcher considers be given study. We highlight three approaches specifying SESOIs that do not require much statistical training: Person as size, cost benefit analysis, minimal differences. also case study demonstrate apply these real-world setting. The hope is chapter facilitates use broader scientific community.