Small-sample Bayesian Estimation
Small-Sample Bayesian Estimation is a Bayesian inference method in item response theory that specifically addresses the challenge of estimating model parameters when the sample size is limited by incorporating prior information to enhance estimation accuracy and stability.
46
Publications
2.6K
Citations
96
Authors
63
Institutions
Publications per year
2017–2026
16
46
BAYES MODAL ESTIMATION IN ITEM RESPONSE MODELS*
Robert J. Mislevy · ETS Research Report Series · 1985 · 242 citations
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63
Educational Testing Service
Princeton, United States
4 h-index
8 publications
434 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
5 publications
971 citations
University of California, Merced
Merced, United States
3 h-index
4 publications
227 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
219 citations

University of Tübingen
Tübingen, Germany
2 h-index
2 publications
101 citations
Leibniz Institute for Science and Mathematics Education
Kiel, Germany
2 h-index
5 publications
236 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
217 citations
Arizona State University
Tempe, United States
2 h-index
2 publications
107 citations
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SEM · 5 publications · 745 citations
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3 publications · 126 citations
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JBES · 3 publications · 77 citations
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2 publications · 43 citations
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IJBD · 2 publications · 174 citations
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