Power Analysis
Power Analysis is a statistical procedure used in experimental design to determine the minimum sample size required to detect an effect of a given size with a specified degree of confidence, thereby distinguishing it from related analytical methods by its focus on the sensitivity and reliability of hypothesis tests within randomized experiments, including those in A/B testing and community organizing research.
4.1K
Publications
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2017–2026
640
4.1K
Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller, Jacob Cohen · Technometrics · 1989 · 83.9K citations
Jacob Cohen · Psychological Bulletin · 1992 · 42.2K citations
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University of North Carolina at Chapel Hill, United States
26 publications · 101.7K citations
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University of North Carolina at Chapel Hill
Chapel Hill, United States
35 h-index
97 publications
10.6K citations
Stanford University
Stanford, United States
32 h-index
68 publications
14.9K citations
University of Southern California
Los Angeles, United States
31 h-index
93 publications
5.9K citations
University of Florida
Gainesville, United States
27 h-index
43 publications
3.2K citations
University of Wisconsin–Madison
Madison, United States
26 h-index
65 publications
12.9K citations
University of California, Los Angeles
Los Angeles, United States
25 h-index
54 publications
10.3K citations
Harvard University
Cambridge, United States
25 h-index
70 publications
4.5K citations
University College London
London, United Kingdom
22 h-index
35 publications
6.2K citations
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209 publications · 18.2K citations
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159 publications · 52.5K citations
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63 publications · 28.7K citations
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61 publications · 4.8K citations
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