Study Size Effects

Study Size Effects is a statistical phenomenon in meta-analysis wherein the magnitude or direction of observed treatment effects varies systematically with the precision or sample size of individual studies, often reflecting bias or heterogeneity related to smaller studies yielding discrepant results compared to larger ones.

53

Publications

5.6K

Citations

163

Authors

103

Institutions

Publications per year

2017–2026

9

Authors

163

  1. WS
    William S. LaHaye

    Cal Poly Humboldt, United States

    3 publications · 109 citations

    3

    h-index

  2. XL
    Xiaofeng Liu

    Harvard University, United States

    3 publications · 478 citations

    3

    h-index

  3. SW
    Stephen W. Raudenbush

    University of Chicago, United States

    3 publications · 478 citations

    3

    h-index

  4. JR
    Jeffrey R. Dunk

    Cal Poly Humboldt, United States

    2 publications · 48 citations

    2

    h-index

  5. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    2 publications · 699 citations

    2

    h-index

1–5 of 163

Venues

  1. Journal of Clinical Epidemiology

    3 publications · 61 citations

    3

    h-index

  2. Psychological Methods

    3 publications · 478 citations

    3

    h-index

  3. Ornithological Applications

    2 publications · 48 citations

    2

    h-index

  4. Perspectives on Psychological Science

    PPSC · 2 publications · 105 citations

    2

    h-index

  5. Scientometrics

    1 publications · 16 citations

    1

    h-index

1–5