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

Authors

75

  1. PJ
    Philip J. Brown

    University of Kent, United Kingdom

    2 publications · 49 citations

    2

    h-index

  2. DA
    David A. Hofmann

    University of North Carolina at Chapel Hill, United States

    2 publications · 2.9K citations

    2

    h-index

  3. AM
    Ahnalee M. Brincks

    University of Miami, United States

    2 publications · 150 citations

    2

    h-index

  4. CK
    Craig K. Enders

    Arizona State University, United States

    2 publications · 4.5K citations

    2

    h-index

  5. RB
    Raoul Bonan

    Montreal Heart Institute, Canada

    1 publications · 10 citations

    1

    h-index

1–5 of 75

Venues

  1. Journal of Endodontics

    JOE · 3 publications · 125 citations

    3

    h-index

  2. Journal of Machine Learning Research

    JMLR · 2 publications · 41 citations

    2

    h-index

  3. Technometrics

    2 publications · 49 citations

    2

    h-index

  4. Multivariate Behavioral Research

    MBR · 2 publications · 168 citations

    2

    h-index

  5. Journal of Management

    JOM · 2 publications · 2.9K citations

    2

    h-index

1–5