Candidate Performance Prediction

Candidate Performance Prediction is a computational or statistical modeling approach that distinguishes itself within educational assessment methodologies by forecasting individual examinees' outcomes on licensure examinations based on prior academic, cognitive, or behavioral indicators.

118

Publications

5.2K

Citations

381

Authors

166

Institutions

Publications per year

2017–2026

29

Authors

381

  1. JC
    Jennifer Cleland

    University of Aberdeen, United Kingdom

    8 publications · 234 citations

    8

    h-index

  2. RM
    Rhoda MacKenzie

    University of Aberdeen, United Kingdom

    3 publications · 131 citations

    3

    h-index

  3. TR
    Thomas R. Carretta

    United States Air Force Research Laboratory, United States

    3 publications · 88 citations

    3

    h-index

  4. PA
    Peter A. Brennan

    Queen Alexandra Hospital, United Kingdom

    2 publications · 37 citations

    2

    h-index

  5. KB
    Kitty B.J.M. Cleutjens

    Maastricht University, Netherlands

    2 publications · 48 citations

    2

    h-index

1–5 of 381

Venues

  1. Medical Education

    9 publications · 572 citations

    9

    h-index

  2. Academic Medicine

    8 publications · 323 citations

    8

    h-index

  3. Teaching and Learning in Medicine

    4 publications · 250 citations

    4

    h-index

  4. JAMA

    4 publications · 236 citations

    4

    h-index

  5. BMJ Open

    4 publications · 154 citations

    4

    h-index

1–5