“Exposing omitted moderators: Explaining why effect sizes differ in the social sciences”

Statistical Modeling, Causal Inference, and Social Science 2025-04-03

Summary:

Antonia Krefeld-Schwalb, Eli Rosen Sugerman, and Eric Johnson write: Policymakers increasingly rely on behavioral science in response to global challenges, such as climate change or global health crises. But applications of behavioral science face an important problem: Interventions often exert … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2025/04/03/exposing-omitted-moderators-explaining-why-effect-sizes-differ-in-the-social-sciences/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

causal

Authors:

Andrew

Date tagged:

04/03/2025, 11:01

Date published:

04/03/2025, 09:45