Multidimensional Graded Response Model

The Multidimensional Graded Response Model is a multidimensional extension of the graded response model in item response theory that accounts for multiple latent traits by modeling the probability of selecting ordered categorical responses as a function of item discrimination and difficulty parameters across distinct interrelated dimensions.

56

Publications

3.8K

Citations

180

Authors

114

Institutions

Publications per year

2017–2026

18

Authors

180

  1. DJ
    David J. Weiss

    University of Minnesota, United States

    4 publications · 530 citations

    4

    h-index

  2. CW
    Chun Wang

    University of Minnesota, United States

    3 publications · 261 citations

    3

    h-index

  3. AC
    Antônio Cézar Bornia

    Universidade Federal de Santa Catarina, Brazil

    2 publications · 42 citations

    2

    h-index

  4. JM
    John M. Felt

    University of California, Merced, United States

    2 publications · 111 citations

    2

    h-index

  5. SD
    Sarah Depaoli

    University of California, Merced, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 180

Venues

  1. Frontiers in Psychology

    4 publications · 292 citations

    4

    h-index

  2. Applied Psychological Measurement

    4 publications · 392 citations

    4

    h-index

  3. Psychological Assessment

    3 publications · 770 citations

    3

    h-index

  4. Health and Quality of Life Outcomes

    HQLO · 3 publications · 115 citations

    3

    h-index

  5. Educational and Psychological Measurement

    3 publications · 157 citations

    3

    h-index

1–5