Moderating Effects
Moderating Effects is a statistical phenomenon in which the strength or direction of the relationship between two variables depends on the levels of a third variable, thereby altering the interpretation of causal or predictive linkages within a theoretical model.
18.5K
Publications
1.1M
Citations
41.6K
Authors
6.6K
Institutions
Publications per year
2017–2026
11.2K
Variants
Moderation Effects
18.5K
1–5 of 18.5K
41.6K
31
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22
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1–5 of 41.6K
6.6K

Pennsylvania State University
State College, United States
59 h-index
235 publications
17.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
55 h-index
224 publications
17.2K citations

Renmin University of China
Beijing, China
51 h-index
295 publications
17.9K citations
Michigan State University
East Lansing, United States
48 h-index
187 publications
16.1K citations

University of Minnesota
Minneapolis, United States
48 h-index
153 publications
13.4K citations
Florida State University
Tallahassee, United States
47 h-index
177 publications
15.6K citations
University of Michigan
Ann Arbor, United States
46 h-index
149 publications
11.1K citations
Arizona State University
Tempe, United States
46 h-index
160 publications
16.5K citations
1–8 of 6.6K
532 publications · 23.8K citations
75
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111 publications · 20.3K citations
74
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536 publications · 20.6K citations
66
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BSE · 96 publications · 10.4K citations
61
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86 publications · 9.7K citations
60
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1–5