Local Dependence Modeling

Local Dependence Modeling is a methodological framework within Bayesian Item Response Theory that accounts for residual dependencies among items by introducing additional latent variables or covariance structures, thereby relaxing the assumption of conditional independence given the latent trait.

199

Publications

19.1K

Citations

390

Authors

224

Institutions

Publications per year

2017–2026

35

Authors

390

  1. DT
    David Thissen

    University of North Carolina at Chapel Hill, United States

    7 publications · 1.2K citations

    7

    h-index

  2. HW
    Howard Wainer

    Educational Testing Service, United States

    6 publications · 353 citations

    6

    h-index

  3. WW
    Wen‐Chung Wang

    Education University of Hong Kong, Hong Kong SAR China

    5 publications · 185 citations

    5

    h-index

  4. DT
    Dag Tjøstheim

    University of Bergen, Norway

    5 publications · 154 citations

    5

    h-index

  5. KB
    Karl Bang Christensen

    University of Copenhagen, Denmark

    4 publications · 831 citations

    4

    h-index

1–5 of 390

Venues

  1. Applied Psychological Measurement

    14 publications · 2K citations

    12

    h-index

  2. Psychometrika

    10 publications · 362 citations

    10

    h-index

  3. Journal of Educational Measurement

    10 publications · 1.2K citations

    10

    h-index

  4. Educational and Psychological Measurement

    5 publications · 161 citations

    5

    h-index

  5. Journal of Educational and Behavioral Statistics

    5 publications · 1.2K citations

    5

    h-index

1–5