Multiple Membership Models

Multiple Membership Models is a type of multilevel model in which lower-level units are nested within more than one higher-level unit, allowing for partial membership across multiple contexts or groups, thereby extending standard hierarchical modeling to account for complex dependency structures arising from overlapping group affiliations.

84

Publications

4.1K

Citations

211

Authors

123

Institutions

Publications per year

2017–2026

27

Authors

211

  1. HG
    Harvey Goldstein

    University of Bristol, United Kingdom

    7 publications · 787 citations

    7

    h-index

  2. SN
    S. Natasha Beretvas

    The University of Texas at Austin, United States

    4 publications · 181 citations

    4

    h-index

  3. EM
    Edoardo M. Airoldi

    Harvard University, United States

    3 publications · 58 citations

    3

    h-index

  4. WJ
    William J. Browne

    University of Bristol, United Kingdom

    3 publications · 586 citations

    3

    h-index

  5. SE
    Stephen E. Fienberg

    Carnegie Mellon University, United States

    3 publications · 58 citations

    3

    h-index

1–5 of 211

Venues

  1. 4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 81 citations

    3

    h-index

  3. Multivariate Behavioral Research

    MBR · 3 publications · 75 citations

    3

    h-index

  4. 2

    h-index

  5. Statistical Modelling

    2 publications · 473 citations

    2

    h-index

1–5