Bayesian Item Response Models
Bayesian Item Response Models is a statistical modeling framework within latent trait theory that employs Bayesian inference to estimate item and ability parameters, distinguishing itself through the incorporation of prior distributions to represent uncertainty and facilitate more robust parameter estimation in the presence of limited data.
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11.9K
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332
Authors
191
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2017–2026
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Bayes Modal Estimation in Item Response Models
Robert J. Mislevy · Psychometrika · 1986 · 302 citations
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Educational Testing Service
Princeton, United States
14 h-index
21 publications
1.7K citations

University of Twente
Enschede, The Netherlands
14 h-index
22 publications
930 citations
University of Maryland, College Park
College Park, United States
9 h-index
13 publications
260 citations
University of Pittsburgh
Pittsburgh, United States
6 h-index
7 publications
381 citations
Universidade de São Paulo
São Paulo, Brazil
6 h-index
9 publications
435 citations
Northeast Normal University
Changchun, China
6 h-index
13 publications
257 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
10 publications
461 citations
University of Missouri
Columbia, United States
5 h-index
7 publications
385 citations
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29 publications · 1.5K citations
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12 publications · 804 citations
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10 publications · 539 citations
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