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
145
Path Analysis: Sociological Examples
Otis Dudley Duncan · American Journal of Sociology · 1966 · 1.3K citations
Causal Analysis: Assumptions, Models, and Data
Chester A. Schriesheim, Lawrence R. James, Stanley A. Muliak et al. · Academy of Management Review · 1984 · 1.3K citations
1–5 of 145
315
University of North Carolina at Chapel Hill, United States
6 publications · 918 citations
6
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 315
193
University of North Carolina at Chapel Hill
Chapel Hill, United States
6 h-index
10 publications
1.4K citations
Harvard University
Cambridge, United States
5 h-index
5 publications
790 citations
Stanford University
Stanford, United States
4 h-index
6 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
323 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
156 citations
University of Maryland, College Park
College Park, United States
3 h-index
3 publications
986 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
3 publications
134 citations
University of Chicago
Chicago, United States
3 h-index
4 publications
535 citations
1–8 of 193
Repository · 7 publications · 306 citations
7
h-index
5 publications · 122 citations
5
h-index
5 publications · 1K citations
5
h-index
4 publications · 832 citations
4
h-index
AJS · 4 publications · 1.4K citations
4
h-index
1–5