Multilevel Model Sample Size

Multilevel Model Sample Size is a methodological framework within Bayesian sample size determination that specifies the minimum number of units at each hierarchical level required to achieve desired statistical power and precision when analyzing data with nested or clustered structures.

228

Publications

23.2K

Citations

713

Authors

369

Institutions

Publications per year

2017–2026

95

Authors

713

  1. JJ
    Joop J. Hox

    Utrecht University, Netherlands

    4 publications · 4.8K citations

    4

    h-index

  2. JR
    Jon Rasbash

    University of London, United Kingdom

    4 publications · 740 citations

    4

    h-index

  3. CJ
    Cora J. M. Maas

    Utrecht University, Netherlands

    4 publications · 4.6K citations

    4

    h-index

  4. HG
    Harvey Goldstein

    University of Bristol, United Kingdom

    4 publications · 716 citations

    4

    h-index

  5. DM
    Daniel McNeish

    Arizona State University, United States

    3 publications · 561 citations

    3

    h-index

1–5 of 713

Venues

  1. Frontiers in Psychology

    6 publications · 308 citations

    6

    h-index

  2. Organizational Research Methods

    ORM · 4 publications · 2.2K citations

    4

    h-index

  3. PLoS ONE

    4 publications · 113 citations

    4

    h-index

  4. Methodology

    4 publications · 3.9K citations

    4

    h-index

  5. Statistics in Medicine

    4 publications · 420 citations

    4

    h-index

1–5