Policy-capturing Models

Policy-Capturing Models is a quantitative modeling approach in decision analysis that belongs to the class of psychological and statistical models used to infer individual or organizational decision rules from observed judgments, distinguished by its focus on empirically identifying the weights and structure of cues individuals use in making pass-fail decisions under uncertainty.

79

Publications

8.3K

Citations

186

Authors

107

Institutions

Publications per year

2017–2026

10

Variants

Policy Capturing

Authors

186

  1. LM
    Lorne M. Sulsky

    University of Calgary, Canada

    4 publications · 295 citations

    4

    h-index

  2. DL
    Daniel Lafond

    Université Laval, Canada

    3 publications · 45 citations

    3

    h-index

  3. ST
    Sébastien Tremblay

    Université Laval, Canada

    3 publications · 45 citations

    3

    h-index

  4. MR
    Maria Rotundo

    University of Toronto, Canada

    2 publications · 1.6K citations

    2

    h-index

  5. KJ
    Karen J. Jansen

    Pennsylvania State University, United States

    2 publications · 531 citations

    2

    h-index

1–5 of 186

Venues

  1. Journal of Applied Psychology

    10 publications · 2.7K citations

    10

    h-index

  2. Journal of Management

    JOM · 4 publications · 851 citations

    4

    h-index

  3. Academy of Management Journal

    AMJ · 4 publications · 1.1K citations

    4

    h-index

  4. Organizational Research Methods

    ORM · 3 publications · 409 citations

    3

    h-index

  5. Human Performance

    3 publications · 121 citations

    3

    h-index

1–5