Bayesian Test Scoring
Bayesian Test Scoring is a statistical inference framework within item response theory that uses Bayesian methods to estimate examinee ability parameters by incorporating prior distributions and updating them with observed item responses.
28
Publications
2.7K
Citations
59
Authors
34
Institutions
Publications per year
2017–2026
3
28
Joanna Jaworska, Andreas Natsch, Cindy A. Ryan et al. · Archives of Toxicology · 2015 · 162 citations
1–5 of 28
59
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 85 citations
2
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2
h-index
1–5 of 59
34
University of Pittsburgh
Pittsburgh, United States
3 h-index
5 publications
401 citations
University of California, Davis
Davis, United States
2 h-index
2 publications
45 citations
Decision Sciences (United States)
Fort Walton Beach, United States
2 h-index
2 publications
85 citations
Duke University
Durham, United States
2 h-index
2 publications
85 citations

University of Twente
Enschede, The Netherlands
2 h-index
4 publications
62 citations
University of Virginia
Charlottesville, United States
2 h-index
2 publications
44 citations
National Board of Medical Examiners
Philadelphia, United States
2 h-index
2 publications
44 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
44 citations
1–8 of 34
4 publications · 255 citations
4
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3 publications · 114 citations
3
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2 publications · 45 citations
2
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Repository · 2 publications · 134 citations
2
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1 publications · 12 citations
1
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1–5