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

Authors

59

  1. ET
    Eric T. Bradlow

    University of Pennsylvania, United States

    2 publications · 44 citations

    2

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  2. GT
    George T. Duncan

    Carnegie Mellon University, United States

    2 publications · 45 citations

    2

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  3. HW
    Howard Wainer

    Educational Testing Service, United States

    2 publications · 44 citations

    2

    h-index

  4. VE
    Valen E. Johnson

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 85 citations

    2

    h-index

  5. JJ
    J. J. Martin

    University of Pittsburgh, United States

    2 publications · 207 citations

    2

    h-index

1–5 of 59

Venues

  1. 4

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  2. 3

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  3. ETS Research Report Series

    2 publications · 45 citations

    2

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  4. PubMed

    Repository · 2 publications · 134 citations

    2

    h-index

  5. Journal of Educational Measurement

    1 publications · 12 citations

    1

    h-index

1–5