Indirect Effects
Indirect Effects is a causal mediation analytic construct that represents the extent to which the effect of an independent variable on a dependent variable is transmitted through one or more intermediate variables, distinguishing it from direct effects by isolating the mediated pathways within a hypothesized causal sequence.
8.2K
Publications
691.1K
Citations
24.7K
Authors
5.6K
Institutions
Publications per year
2017–2026
3.5K
Variants
Indirect Causal EffectsMediated Effects
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Harvard University
Cambridge, United States
53 h-index
242 publications
27.4K citations
University of Michigan
Ann Arbor, United States
47 h-index
167 publications
15.8K citations
Arizona State University
Tempe, United States
44 h-index
151 publications
44.8K citations
The Ohio State University
Columbus, United States
41 h-index
111 publications
93.2K citations
The University of Texas at Austin
Austin, United States
41 h-index
100 publications
9.5K citations
University of Washington
Seattle, United States
40 h-index
134 publications
15K citations
University of Oxford
Oxford, United Kingdom
38 h-index
116 publications
11.4K citations
Michigan State University
East Lansing, United States
37 h-index
106 publications
8.7K citations
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135 publications · 5.8K citations
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56 publications · 5.6K citations
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88 publications · 3.8K citations
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77 publications · 4K citations
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39 publications · 9.9K citations
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