Statistical Objectivity

Statistical Objectivity is a methodological principle in scientific inquiry that belongs to the broader class of objectivity norms, distinguished by its reliance on standardized statistical procedures and empirical data analysis to minimize bias, ensure replicability, and warrant collective acceptance of results independently of individual researchers' beliefs or perspectives.

52

Publications

4.8K

Citations

81

Authors

57

Institutions

Publications per year

2017–2026

11

Authors

81

  1. AG
    Andrew Gelman

    Columbia University, United States

    2 publications · 275 citations

    2

    h-index

  2. GR
    George R. Terrell

    Rice University, United States

    2 publications · 550 citations

    2

    h-index

  3. DG
    Deborah G. Mayo

    Virginia Tech, United States

    2 publications · 66 citations

    2

    h-index

  4. DW
    David W. Scott

    Rice University, United States

    2 publications · 550 citations

    2

    h-index

  5. WG
    William G. Hunter

    University of Wisconsin–Madison, United States

    2 publications · 55 citations

    2

    h-index

1–5 of 81

Venues

  1. 4

    h-index

  2. The American Statistician

    4 publications · 607 citations

    4

    h-index

  3. Synthese

    3 publications · 85 citations

    3

    h-index

  4. Science News

    SN · 1 publications · 30 citations

    1

    h-index

  5. 1

    h-index

1–5