Category Response Functions

Category Response Function is a probabilistic model within polytomous item response theory that specifies the probability of an examinee selecting a particular response category as a function of a latent trait, distinguished by its capacity to describe how different categories of an item are differentially related to the underlying continuum.

47

Publications

2.9K

Citations

133

Authors

74

Institutions

Publications per year

2017–2026

6

Variants

Category Response CurvesCrfs

Authors

133

  1. FG
    F. Gregory Ashby

    University of California, Santa Barbara, United States

    3 publications · 169 citations

    3

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  2. DR
    Daniel R. Little

    The University of Melbourne, Australia

    2 publications · 30 citations

    2

    h-index

  3. DB
    Derek Besner

    University of Waterloo, Canada

    2 publications · 56 citations

    2

    h-index

  4. HC
    Hua‐Hua Chang

    University of Illinois Urbana-Champaign, United States

    2 publications · 93 citations

    2

    h-index

  5. PC
    Paul C. Jennings

    California Institute of Technology, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 133

Venues

  1. Perception & Psychophysics

    2 publications · 125 citations

    2

    h-index

  2. 2

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  3. Psychometrika

    2 publications · 123 citations

    2

    h-index

  4. Memory & Cognition

    2 publications · 27 citations

    2

    h-index

  5. 1

    h-index

1–5