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
Parents
118
1–5 of 118
381
8
h-index
3
h-index
United States Air Force Research Laboratory, United States
3 publications · 88 citations
3
h-index
2
h-index
2
h-index
1–5 of 381
166

University of Aberdeen
Aberdeen, United Kingdom
8 h-index
19 publications
589 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
15 publications
554 citations
University College London
London, United Kingdom
3 h-index
6 publications
197 citations

University of Dundee
Dundee, United Kingdom
3 h-index
4 publications
204 citations

Vanderbilt University
Nashville, United States
2 h-index
2 publications
59 citations
Baylor College of Medicine
Houston, United States
2 h-index
6 publications
97 citations

McMaster University
Hamilton, Canada
2 h-index
7 publications
1.8K citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
2 publications
67 citations
1–8 of 166
9 publications · 572 citations
9
h-index
8 publications · 323 citations
8
h-index
4 publications · 250 citations
4
h-index
4 publications · 236 citations
4
h-index
4 publications · 154 citations
4
h-index
1–5