Cut Score Generalizability

Cut Score Generalizability is a measurement theory construct that denotes the extent to which a specified cut score on a standardized assessment maintains its validity and interpretability across diverse testing conditions, populations, or forms.

9

Publications

453

Citations

26

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

26

  1. BE
    Brian E. Clauser

    National Board of Medical Examiners, United States

    3 publications · 91 citations

    3

    h-index

  2. MJ
    Melissa J. Margolis

    National Board of Medical Examiners, United States

    2 publications · 57 citations

    2

    h-index

  3. PH
    Polina Harik

    National Board of Medical Examiners, United States

    2 publications · 74 citations

    2

    h-index

  4. DM
    Daniel M. Lewis

    National Institute for Occupational Safety and Health, United States

    1 publications · 15 citations

    1

    h-index

  5. RL
    Robert L. Brennan

    University of Iowa, United States

    1 publications · 96 citations

    1

    h-index

1–5 of 26

Venues

  1. Journal of Educational Measurement

    2 publications · 51 citations

    2

    h-index

  2. Educational and Psychological Measurement

    2 publications · 30 citations

    2

    h-index

  3. Applied Measurement in Education

    1 publications · 40 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Behavior Research Methods

    BRM · 1 publications · 166 citations

    1

    h-index

1–5