Bayesian Two-parameter Logistic Model

The Bayesian Two-Parameter Logistic Model is a Bayesian extension of the two-parameter logistic item response theory model that incorporates prior distributions on item discrimination and difficulty parameters to estimate latent traits and item characteristics within a hierarchical probabilistic framework.

20

Publications

1.2K

Citations

56

Authors

38

Institutions

Publications per year

2017–2026

6

Variants

Bayesian 2PlBayesian 2Pl Model

Authors

56

  1. RK
    Robert K. Tsutakawa

    University of Missouri, United States

    2 publications · 68 citations

    2

    h-index

  2. FE
    Frans E. S. Tan

    Maastricht University, Netherlands

    2 publications · 28 citations

    2

    h-index

  3. BW
    Brian W. Junker

    Carnegie Mellon University, United States

    2 publications · 395 citations

    2

    h-index

  4. MS
    Michael Soltys

    California State University, Channel Islands, United States

    2 publications · 68 citations

    2

    h-index

  5. RJ
    Richard J. Patz

    Carnegie Mellon University, United States

    2 publications · 395 citations

    2

    h-index

1–5 of 56

Venues

  1. Applied Psychological Measurement

    3 publications · 154 citations

    3

    h-index

  2. Accident Analysis & Prevention

    2 publications · 146 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Educational Statistics

    2 publications · 68 citations

    2

    h-index

  5. Entropy

    1 publications · 10 citations

    1

    h-index

1–5