Multilevel Meta-analysis

Multilevel Meta-Analysis is a statistical methodology within the broader class of meta-analytic techniques that accounts for hierarchical dependencies in effect sizes by modeling variation at multiple levels, such as within- and between-study heterogeneity, through the incorporation of random effects at each level.

297

Publications

45.8K

Citations

685

Authors

374

Institutions

Publications per year

2017–2026

110

Authors

685

  1. WV
    Wim Van Den Noortgate

    KU Leuven, Belgium

    17 publications · 3K citations

    15

    h-index

  2. MM
    Mariola Moeyaert

    University at Albany, State University of New York, United States

    11 publications · 610 citations

    11

    h-index

  3. SN
    Shinichi Nakagawa

    UNSW Sydney, Australia

    10 publications · 2K citations

    10

    h-index

  4. JM
    John M. Ferron

    University of South Florida, United States

    7 publications · 480 citations

    7

    h-index

  5. SN
    S. Natasha Beretvas

    The University of Texas at Austin, United States

    7 publications · 481 citations

    7

    h-index

1–5 of 685

Venues

  1. Statistics in Medicine

    14 publications · 2.1K citations

    14

    h-index

  2. Research Synthesis Methods

    10 publications · 796 citations

    10

    h-index

  3. Psychological Methods

    9 publications · 4.6K citations

    9

    h-index

  4. Statistical Methods in Medical Research

    8 publications · 742 citations

    8

    h-index

  5. Behavior Research Methods

    BRM · 7 publications · 1.6K citations

    6

    h-index

1–5