Bayesian Graded Response Model

The Bayesian Graded Response Model is a Bayesian extension of the graded response item response theory model that incorporates prior distributions on item and person parameters to estimate latent trait levels and ordered categorical item responses within a hierarchical probabilistic framework.

12

Publications

4K

Citations

33

Authors

24

Institutions

Publications per year

2017–2026

5

Authors

33

  1. CA
    Clement A. Stone

    University of Pittsburgh, United States

    2 publications · 69 citations

    2

    h-index

  2. XZ
    Xiaowen Zhu

    Xi'an Jiaotong University, China

    2 publications · 69 citations

    2

    h-index

  3. TK
    Tzu‐Chun Kuo

    University of Massachusetts Chan Medical School, United States

    1 publications · 10 citations

    1

    h-index

  4. CM
    Caren M. Rotello

    University of Massachusetts Amherst, United States

    1 publications · 161 citations

    1

    h-index

  5. YS
    Yanyan Sheng

    Southern Illinois University Carbondale, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 33

Venues

  1. Educational and Psychological Measurement

    3 publications · 140 citations

    3

    h-index

  2. Behaviormetrika

    1 publications · 10 citations

    1

    h-index

  3. Journal of Educational Measurement

    1 publications · 36 citations

    1

    h-index

  4. 1

    h-index

  5. Psychonomic Bulletin & Review

    1 publications · 161 citations

    1

    h-index

1–5