Minimum Detectable Effects

1995/10/01 by Howard S. Bloom · 1 voice · 4 citations
Decision Sciences · #Optimal Experimental Design Methods

paper · doi:10.1177/0193841x9501900504

openalex publication_date 1995/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

Abstract

This article describes a simple way to assess the statistical power of experimental designs. The approach presented is based on the concept of a minimum detectable effect, which, intuitively, is the smallest true impact that an experiment has a good chance of detecting. The article illustrates how to compute minimum detectable effects and how to apply this concept to the assessment of alternative experimental designs. Applications to impact estimators for both continuous and binary outcome measures are considered

Citations

• Statistical power analysis for the behavioral sciences

Cited by

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Discussions

• Paper #2 Second, we need a way to understand/compute power. For this, I recommend Bloom’s “Minimum Detectable Effects.” Gated DOI: doi.org/10.1177/0193... Ungated PDF: bpb-us-e2.wpmucdn.com/sites [bsky, 2 points, 1 comments]

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