Sequential Response Model

Sequential Response Model is a polytomous item response theory model that belongs to the class of cumulative probability models, distinguished by its assumption that responses progress through ordered categories via a stepwise process in which the probability of advancing to the next category depends on a latent trait and category-specific thresholds.

69

Publications

3.3K

Citations

185

Authors

90

Institutions

Publications per year

2017–2026

9

Authors

185

  1. GT
    Gerhard Tutz

    Ludwig-Maximilians-Universität München, Germany

    4 publications · 339 citations

    4

    h-index

  2. SW
    S. Wiegersma

    Utrecht University, Netherlands

    2 publications · 57 citations

    2

    h-index

  3. PF
    Pio Forzatti

    Politecnico di Milano, Italy

    2 publications · 129 citations

    2

    h-index

  4. JA
    John A. Clithero

    Duke University, United States

    2 publications · 103 citations

    2

    h-index

  5. DV
    Dalila Visani

    University of Bologna, Italy

    2 publications · 23 citations

    2

    h-index

1–5 of 185

Venues

  1. PubMed

    Repository · 4 publications · 105 citations

    4

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  2. Perception & Psychophysics

    3 publications · 113 citations

    3

    h-index

  3. Water Research

    2 publications · 97 citations

    2

    h-index

  4. Multivariate Behavioral Research

    MBR · 2 publications · 43 citations

    2

    h-index

  5. 2

    h-index

1–5