Centering Predictors
Centering Predictors is a statistical technique in multilevel modeling that involves subtracting a group-specific or grand mean from predictor variables to separate within-group and between-group effects, thereby facilitating the interpretation of fixed and random components in hierarchical data structures.
28
Publications
9.5K
Citations
75
Authors
47
Institutions
Publications per year
2017–2026
5
Parents
28
1–5 of 28
75
2
h-index
University of North Carolina at Chapel Hill, United States
2 publications · 2.9K citations
2
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2
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2
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1
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1–5 of 75
47
Michigan State University
East Lansing, United States
2 h-index
2 publications
160 citations
Université de Montréal
Montreal, Canada
2 h-index
2 publications
79 citations

Vanderbilt University
Nashville, United States
2 h-index
2 publications
157 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
44 citations
University of Miami
Coral Gables, United States
2 h-index
6 publications
574 citations
Hamedan University of Medical Sciences
Hamadan, Iran
1 h-index
1 publications
51 citations

Stetson University
DeLand, United States
1 h-index
1 publications
126 citations

Translational Research Institute
Woolloongabba, Australia
1 h-index
3 publications
207 citations
1–8 of 47
JOE · 3 publications · 125 citations
3
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JMLR · 2 publications · 41 citations
2
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2 publications · 49 citations
2
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MBR · 2 publications · 168 citations
2
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JOM · 2 publications · 2.9K citations
2
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1–5