Measure Justification

Measure Justification is an academic concept referring to a singular scholarly contribution—such as a method, model, framework, theory, construct, dataset, task, or metric—that is systematically defended as appropriate, valid, and proportionate in relation to its intended purpose, theoretical foundation, and empirical context within a given research inquiry.

12

Publications

566

Citations

46

Authors

22

Institutions

Publications per year

2017–2026

3

Authors

46

  1. AA
    Aditya Anand

    Harvard Global Health Institute, United States

    1 publications · 21 citations

    1

    h-index

  2. JA
    Jordan A. Gette

    Texas Tech University, United States

    1 publications · 24 citations

    1

    h-index

  3. CF
    Christopher F. Drescher

    University of Mississippi, United States

    1 publications · 70 citations

    1

    h-index

  4. KL
    Kathleen L. Bagot

    Florey Institute of Neuroscience and Mental Health, Australia

    1 publications · 40 citations

    1

    h-index

  5. JB
    James B. Spies

    Georgetown University, United States

    1 publications · 53 citations

    1

    h-index

1–5 of 46

Venues

  1. Value in Health

    1 publications · 53 citations

    1

    h-index

  2. Personality and Individual Differences

    1 publications · 19 citations

    1

    h-index

  3. The Yearbook of English Studies

    1 publications · 19 citations

    1

    h-index

  4. Journal of Personality Assessment

    1 publications · 70 citations

    1

    h-index

  5. Journal of Business Economics

    1 publications · 222 citations

    1

    h-index

1–5