Category Probability Functions

Category Probability Functions is a mathematical construct in item response theory that specifies the probability of an examinee selecting or occupying a particular response category as a function of their latent trait level, distinguishing it from other item characteristic functions by modeling graded or ordered categorical responses in polytomous item models.

9

Publications

604

Citations

18

Authors

10

Institutions

Publications per year

2017–2026

1

Variants

Item Category Characteristic Curves

Authors

18

  1. DE
    Dwight E. Erlick

    Wright-Patterson Air Force Base, United States

    1 publications · 36 citations

    1

    h-index

  2. XL
    Xuelong Li

    Xi'an Institute of Optics and Precision Mechanics, China

    1 publications · 42 citations

    1

    h-index

  3. MP
    Michael P. Dahlin

    Pennsylvania State University, United States

    1 publications · 10 citations

    1

    h-index

  4. AM
    Axel Mecklinger

    Saarland University, Germany

    1 publications · 74 citations

    1

    h-index

  5. XL
    Xiaoqiang Lu

    Xi'an Institute of Optics and Precision Mechanics, China

    1 publications · 42 citations

    1

    h-index

1–5 of 18

Venues

  1. NeuroImage

    1 publications · 30 citations

    1

    h-index

  2. IEEE Transactions on Cybernetics

    1 publications · 42 citations

    1

    h-index

  3. Memory & Cognition

    1 publications · 14 citations

    1

    h-index

  4. Analytic Methods in Accident Research

    1 publications · 125 citations

    1

    h-index

  5. 1

    h-index

1–5