Effect Size

Effect Size is a standardized measure within statistical analysis that quantifies the magnitude of a phenomenon or the strength of the relationship between variables, distinguishing it from inferential statistics by focusing on practical rather than probabilistic significance.

8.3K

Publications

890.7K

Citations

28.2K

Authors

6.1K

Institutions

Publications per year

2017–2026

3.4K

Authors

28.2K

  1. LV
    Larry V. Hedges

    University of Chicago, United States

    50 publications · 30.3K citations

    37

    h-index

  2. RR
    Robert Rosenthal

    Harvard University Press, United States

    27 publications · 11.5K citations

    24

    h-index

  3. JE
    James E. Pustejovsky

    The University of Texas at Austin, United States

    22 publications · 2.8K citations

    21

    h-index

  4. DL
    Daniël Lakens

    Eindhoven University of Technology, Netherlands

    22 publications · 7.7K citations

    21

    h-index

  5. BT
    Bruce Thompson

    Massachusetts General Hospital, United States

    21 publications · 3K citations

    18

    h-index

1–5 of 28.2K

Venues

  1. Review of Educational Research

    RER · 64 publications · 21.1K citations

    49

    h-index

  2. PubMed

    Repository · 146 publications · 7.8K citations

    49

    h-index

  3. Psychological Methods

    71 publications · 44.4K citations

    45

    h-index

  4. PLoS ONE

    120 publications · 6.4K citations

    42

    h-index

  5. Statistics in Medicine

    55 publications · 8.9K citations

    39

    h-index

1–5