Bayesian Psychometric Models

Bayesian Psychometric Models is a statistical framework that integrates Bayesian inference with psychometric theory to estimate latent psychological constructs by specifying prior distributions on model parameters and updating them with observed behavioral data.

181

Publications

17.1K

Citations

398

Authors

214

Institutions

Publications per year

2017–2026

58

Authors

398

  1. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    7 publications · 369 citations

    7

    h-index

  2. EC
    Edgar C. Merkle

    University of Missouri, United States

    5 publications · 252 citations

    5

    h-index

  3. DR
    Donald R. Williams

    University of California, Davis, United States

    5 publications · 132 citations

    5

    h-index

  4. HH
    Herbert Hoijtink

    Utrecht University, Netherlands

    5 publications · 410 citations

    5

    h-index

  5. SR
    Stephen R. Martin

    The Francis Crick Institute, United Kingdom

    4 publications · 88 citations

    4

    h-index

1–5 of 398

Venues

  1. Frontiers in Psychology

    9 publications · 203 citations

    9

    h-index

  2. Journal of Mathematical Psychology

    7 publications · 789 citations

    7

    h-index

  3. 7

    h-index

  4. Applied Psychological Measurement

    6 publications · 395 citations

    6

    h-index

  5. Psychological Methods

    6 publications · 226 citations

    6

    h-index

1–5