Polytomous Response Models

Polytomous Response Models is a statistical modeling framework within the class of categorical regression models that specifically accommodates outcomes with more than two unordered or ordered response categories by extending binary response models to handle multiple discrete alternatives through appropriate link functions and parameterizations.

186

Publications

16.5K

Citations

334

Authors

180

Institutions

Publications per year

2017–2026

27

Authors

334

  1. MV
    Matthias von Davier

    Educational Testing Service, United States

    5 publications · 651 citations

    5

    h-index

  2. RD
    Randall D. Penfield

    University of Miami, United States

    5 publications · 198 citations

    5

    h-index

  3. BT
    Bas T. Hemker

    University of Groningen, Netherlands

    4 publications · 340 citations

    4

    h-index

  4. KS
    Klaas Sijtsma

    Tilburg University, Netherlands

    4 publications · 340 citations

    4

    h-index

  5. DA
    David Andrich

    The University of Western Australia, Australia

    4 publications · 201 citations

    4

    h-index

1–5 of 334

Venues

  1. Applied Psychological Measurement

    17 publications · 3K citations

    17

    h-index

  2. Psychometrika

    12 publications · 748 citations

    12

    h-index

  3. Journal of Educational Measurement

    6 publications · 293 citations

    6

    h-index

  4. Biometrika

    6 publications · 1K citations

    6

    h-index

  5. Educational and Psychological Measurement

    6 publications · 217 citations

    6

    h-index

1–5