Statistical Conclusion Validity

Statistical Conclusion Validity is the degree to which conclusions about the presence or absence of a relationship between variables in a study are supported by appropriate and accurate statistical evidence, distinguishing it from other forms of validity by focusing specifically on the correctness of the statistical inference process.

47

Publications

5.6K

Citations

98

Authors

73

Institutions

Publications per year

2017–2026

10

Authors

98

  1. KJ
    Kenneth J. Ottenbacher

    The University of Texas Medical Branch at Galveston, United States

    4 publications · 78 citations

    4

    h-index

  2. PO
    Patrick Onghena

    KU Leuven, Belgium

    2 publications · 117 citations

    2

    h-index

  3. KA
    Kathryn A. Barrett

    University of Wisconsin–Madison, United States

    2 publications · 46 citations

    2

    h-index

  4. DP
    David P. Farrington

    University of Cambridge, United Kingdom

    2 publications · 373 citations

    2

    h-index

  5. MC
    Melissa Coulson

    La Trobe University, Australia

    1 publications · 79 citations

    1

    h-index

1–5 of 98

Venues

  1. 3

    h-index

  2. Frontiers in Psychology

    2 publications · 173 citations

    2

    h-index

  3. PubMed

    Repository · 2 publications · 32 citations

    2

    h-index

  4. Communications of the Association for Information Systems

    CAIS · 2 publications · 2.8K citations

    2

    h-index

  5. International Journal of Sports Medicine

    1 publications · 17 citations

    1

    h-index

1–5