Bayesian Testlet Models

Bayesian Testlet Models is a psychometric modeling framework that extends item response theory by incorporating Bayesian hierarchical structures to account for local dependence among items within testlets through random effects.

8

Publications

978

Citations

13

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

13

  1. ET
    Eric T. Bradlow

    University of Pennsylvania, United States

    4 publications · 909 citations

    4

    h-index

  2. HW
    Howard Wainer

    Educational Testing Service, United States

    4 publications · 909 citations

    4

    h-index

  3. XW
    Xiaohui Wang

    Sun Yat-sen University, China

    3 publications · 571 citations

    3

    h-index

  4. AB
    Aimée Boyd

    The University of Texas at Austin, United States

    1 publications · 15 citations

    1

    h-index

  5. XW
    Xiaohui Wang

    University of Virginia, United States

    1 publications · 338 citations

    1

    h-index

1–5 of 13

Venues

  1. ETS Research Report Series

    2 publications · 456 citations

    2

    h-index

  2. Applied Measurement in Education

    2 publications · 27 citations

    2

    h-index

  3. Psychometrika

    1 publications · 338 citations

    1

    h-index

  4. Applied Psychological Measurement

    1 publications · 115 citations

    1

    h-index

  5. Frontiers in Psychology

    1 publications · 30 citations

    1

    h-index

1–5