Causal Measurement

Causal Measurement is a scholarly construct that belongs to the class of academic contributions designed to quantify or assess causal relationships, distinguished by its specific focus on developing or applying methods, models, frameworks, theories, datasets, tasks, or metrics that enable the empirical identification, estimation, or validation of cause-and-effect dynamics within a defined research context.

145

Publications

16.7K

Citations

315

Authors

193

Institutions

Publications per year

2017–2026

40

Authors

315

  1. KA
    Kenneth A. Bollen

    University of North Carolina at Chapel Hill, United States

    6 publications · 918 citations

    6

    h-index

  2. DW
    Daniel W. Russell

    Iowa State University, United States

    3 publications · 853 citations

    3

    h-index

  3. HM
    H. M. Blalock

    University of Michigan, United States

    3 publications · 164 citations

    3

    h-index

  4. MR
    Michael R. Waldmann

    University of Göttingen, Germany

    2 publications · 134 citations

    2

    h-index

  5. GN
    Gaylen N. Chandler

    Wichita State University, United States

    2 publications · 126 citations

    2

    h-index

1–5 of 315

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 306 citations

    7

    h-index

  2. 5

    h-index

  3. Journal of Personality and Social Psychology

    5 publications · 1K citations

    5

    h-index

  4. Psychological Methods

    4 publications · 832 citations

    4

    h-index

  5. American Journal of Sociology

    AJS · 4 publications · 1.4K citations

    4

    h-index

1–5