Polytomous Model Fit

Polytomous Model Fit is a statistical evaluation method that assesses the degree of correspondence between observed data and a polytomous item response theory model, distinguishing it from binary or continuous model fit approaches by specifically accounting for items with multiple ordered or unordered response categories.

75

Publications

11.1K

Citations

204

Authors

110

Institutions

Publications per year

2017–2026

15

Authors

204

  1. FD
    Fritz Drasgow

    University of Illinois Urbana-Champaign, United States

    3 publications · 310 citations

    3

    h-index

  2. TK
    Taehoon Kang

    Sungshin Women's University, South Korea

    3 publications · 258 citations

    3

    h-index

  3. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    2 publications · 217 citations

    2

    h-index

  4. KB
    Karl Bang Christensen

    University of Copenhagen, Denmark

    2 publications · 210 citations

    2

    h-index

  5. BA
    Bruce A. Williams

    University of Illinois Urbana-Champaign, United States

    2 publications · 267 citations

    2

    h-index

1–5 of 204

Venues

  1. Applied Psychological Measurement

    9 publications · 643 citations

    9

    h-index

  2. Psychometrika

    8 publications · 581 citations

    8

    h-index

  3. Journal of Educational Measurement

    3 publications · 340 citations

    3

    h-index

  4. Educational and Psychological Measurement

    2 publications · 211 citations

    2

    h-index

  5. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 2 publications · 252 citations

    2

    h-index

1–5