Mediation Effects
Mediation Effects is a statistical phenomenon in causal analysis wherein the effect of an independent variable on a dependent variable is transmitted through an intervening variable, thereby explaining the underlying mechanism or pathway of the relationship.
1.9K
Publications
311.8K
Citations
6K
Authors
2.1K
Institutions
Publications per year
2017–2026
1.1K
Parents
1.9K
1–5 of 1.9K
6K
43
h-index
19
h-index
16
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15
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11
h-index
1–5 of 6K
2.1K
Arizona State University
Tempe, United States
46 h-index
122 publications
97.1K citations
Harvard University
Cambridge, United States
26 h-index
72 publications
12.8K citations
The Ohio State University
Columbus, United States
25 h-index
39 publications
99.1K citations

University of Notre Dame
Notre Dame, United States
20 h-index
32 publications
13.6K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
19 h-index
51 publications
2.5K citations
Columbia University
New York, United States
19 h-index
29 publications
2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
19 h-index
62 publications
5.7K citations

Beijing Normal University
Beijing, China
18 h-index
45 publications
1.9K citations
1–8 of 2.1K
57 publications · 2.6K citations
31
h-index
MBR · 35 publications · 21.8K citations
28
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34 publications · 42K citations
24
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38 publications · 2.1K citations
23
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SEM · 25 publications · 5.5K citations
20
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1–5