Bayesian Rasch Model

The Bayesian Rasch Model is a probabilistic item response model within the class of Item Response Theory models that incorporates Bayesian inference to estimate person abilities and item difficulties by specifying prior distributions over parameters, thereby distinguishing it through its use of Bayesian hierarchical modeling for parameter estimation and uncertainty quantification.

14

Publications

505

Citations

30

Authors

17

Institutions

Publications per year

2017–2026

4

Authors

30

  1. HS
    Hariharan Swaminathan

    University of Massachusetts Amherst, United States

    2 publications · 141 citations

    2

    h-index

  2. DM
    David M. Furst

    San Jose State University, United States

    2 publications · 89 citations

    2

    h-index

  3. PD
    Paul De Boeck

    KU Leuven, Belgium

    2 publications · 102 citations

    2

    h-index

  4. JA
    Janice A. Gifford

    Mount Holyoke College, United States

    2 publications · 141 citations

    2

    h-index

  5. GT
    Gershon Tenenbaum

    Florida State University, United States

    2 publications · 89 citations

    2

    h-index

1–5 of 30

Venues

  1. Applied Psychological Measurement

    3 publications · 119 citations

    3

    h-index

  2. Journal of Educational Statistics

    2 publications · 141 citations

    2

    h-index

  3. Psychological Methods

    1 publications · 39 citations

    1

    h-index

  4. Journal of Clinical Psychology

    1 publications · 79 citations

    1

    h-index

  5. Journal of Educational Measurement

    1 publications · 47 citations

    1

    h-index

1–5