Statistical Power

Statistical Power is the probability that a statistical test correctly rejects the null hypothesis when the alternative hypothesis is true, distinguishing it from related measures by its focus on the test’s ability to detect an effect of a given size with a specified sample size and significance level.

3.7K

Publications

784.4K

Citations

13.4K

Authors

3.5K

Institutions

Publications per year

2017–2026

944

Authors

13.4K

  1. JC
    Jacob Cohen

    New York University, United States

    14 publications · 50.8K citations

    14

    h-index

  2. SE
    Scott E. Maxwell

    University of Notre Dame, United States

    15 publications · 3.8K citations

    13

    h-index

  3. DL
    Daniël Lakens

    Eindhoven University of Technology, Netherlands

    15 publications · 1.8K citations

    13

    h-index

  4. HA
    Herman Aguinis

    George Washington University, United States

    12 publications · 4.4K citations

    12

    h-index

  5. SO
    Stephen Olejnik

    University of Georgia, United States

    13 publications · 769 citations

    12

    h-index

1–5 of 13.4K

Venues

  1. Statistics in Medicine

    69 publications · 5.1K citations

    37

    h-index

  2. Journal of the American Statistical Association

    57 publications · 43.2K citations

    34

    h-index

  3. PLoS ONE

    72 publications · 4.9K citations

    31

    h-index

  4. Psychological Methods

    38 publications · 18.1K citations

    30

    h-index

  5. PubMed

    Repository · 66 publications · 3.7K citations

    27

    h-index

1–5