Multilevel Moderator Models
Multilevel Moderator Models is a statistical modeling framework that extends conventional moderator analysis by incorporating hierarchical data structures to examine how the strength or direction of relationships between variables varies across levels of nested data.
538
Publications
71.8K
Citations
1.6K
Authors
653
Institutions
Publications per year
2017–2026
245
Parents
538
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Pennsylvania State University
State College, United States
25 h-index
90 publications
5.1K citations
University of Michigan
Ann Arbor, United States
13 h-index
26 publications
1.2K citations
Arizona State University
Tempe, United States
13 h-index
18 publications
7.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
11 h-index
20 publications
6.1K citations
The University of Texas at Austin
Austin, United States
10 h-index
15 publications
504 citations
University of Kansas
Lawrence, United States
10 h-index
12 publications
6.3K citations
University of Utah
Salt Lake City, United States
10 h-index
46 publications
1.3K citations
Michigan State University
East Lansing, United States
10 h-index
12 publications
1.6K citations
1–8 of 653
15 publications · 710 citations
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ORM · 9 publications · 1.9K citations
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8 publications · 7.6K citations
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9 publications · 673 citations
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8 publications · 260 citations
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