I-squared Statistic

I-Squared Statistic is a statistical metric that quantifies the percentage of total variation across studies in a meta-analysis attributable to heterogeneity rather than chance.

64

Publications

15.9K

Citations

248

Authors

134

Institutions

Publications per year

2017–2026

33

Variants

I-squaredI2 Statistic

Authors

248

  1. JP
    Julian P. T. Higgins

    University of Bristol, United Kingdom

    3 publications · 2K citations

    3

    h-index

  2. MB
    Michael Borenstein

    Long Island Jewish Medical Center, United States

    3 publications · 2.2K citations

    3

    h-index

  3. VN
    Victoria Nyawira Nyaga

    Institut Scientifique de Santé Publique, Belgium

    2 publications · 28 citations

    2

    h-index

  4. MA
    Marc Aerts

    Hasselt University, Belgium

    2 publications · 28 citations

    2

    h-index

  5. JA
    James Algina

    University of Florida, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 248

Venues

  1. Psychological Methods

    3 publications · 4.3K citations

    3

    h-index

  2. Biometrika

    3 publications · 115 citations

    3

    h-index

  3. Research Synthesis Methods

    3 publications · 2.4K citations

    3

    h-index

  4. Medicine

    2 publications · 60 citations

    2

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 2 publications · 100 citations

    2

    h-index

1–5