Effect Size Extraction

Effect Size Extraction is a data extraction technique that identifies and quantifies the magnitude of an observed phenomenon or relationship within a dataset by isolating standardized measures of effect from primary research outputs.

22

Publications

3.3K

Citations

67

Authors

41

Institutions

Publications per year

2017–2026

9

Authors

67

  1. SN
    Shinichi Nakagawa

    UNSW Sydney, Australia

    2 publications · 263 citations

    2

    h-index

  2. JP
    John P. A. Ioannidis

    Stanford University, United States

    2 publications · 879 citations

    2

    h-index

  3. DW
    Daniel W. A. Noble

    UNSW Sydney, Australia

    2 publications · 263 citations

    2

    h-index

  4. JL
    Joel L. Pick

    University of Zurich, Switzerland

    2 publications · 263 citations

    2

    h-index

  5. DS
    Dénes Szűcs

    University of Cambridge, United Kingdom

    2 publications · 879 citations

    2

    h-index

1–5 of 67

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 149 citations

    2

    h-index

  2. Scandinavian Journal of Psychology

    1 publications · 10 citations

    1

    h-index

  3. PLoS Biology

    1 publications · 765 citations

    1

    h-index

  4. Emotion Review

    1 publications · 18 citations

    1

    h-index

  5. Journal of Educational Computing Research

    1 publications · 38 citations

    1

    h-index

1–5