Multidimensional Item Response Models

Multidimensional Item Response Models is a class of statistical models within item response theory that extends unidimensional models by simultaneously measuring multiple latent traits, thereby capturing the distinct contributions of each trait to item responses through dimension-specific item parameters.

533

Publications

47K

Citations

970

Authors

455

Institutions

Publications per year

2017–2026

140

Authors

970

  1. MW
    Mark Wilson

    University of California, Berkeley, United States

    13 publications · 1.8K citations

    13

    h-index

  2. MV
    Matthias von Davier

    Educational Testing Service, United States

    12 publications · 613 citations

    12

    h-index

  3. WW
    Wen‐Chung Wang

    Education University of Hong Kong, Hong Kong SAR China

    11 publications · 1.5K citations

    11

    h-index

  4. TA
    Terry A. Ackerman

    University of North Carolina at Greensboro, United States

    10 publications · 2K citations

    10

    h-index

  5. MD
    Mark D. Reckase

    Michigan State University, United States

    10 publications · 859 citations

    10

    h-index

1–5 of 970

Venues

  1. Applied Psychological Measurement

    86 publications · 7.9K citations

    42

    h-index

  2. Psychometrika

    38 publications · 4.8K citations

    28

    h-index

  3. Educational and Psychological Measurement

    35 publications · 1.5K citations

    22

    h-index

  4. Journal of Educational Measurement

    29 publications · 1.7K citations

    20

    h-index

  5. Multivariate Behavioral Research

    MBR · 22 publications · 1.4K citations

    18

    h-index

1–5