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.
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23.2K
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713
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369
Institutions
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2017–2026
95
228
Sufficient Sample Sizes for Multilevel Modeling
Cora J. M. Maas, Joop J. Hox · Methodology · 2005 · 3.4K citations
Robustness issues in multilevel regression analysis
Cora J. M. Maas, Joop J. Hox · Statistica Neerlandica · 2004 · 833 citations · Full text
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Utrecht University
Utrecht, The Netherlands
8 h-index
13 publications
10K citations
Wright State University
Dayton, United States
5 h-index
9 publications
435 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
5 publications
433 citations
Florida State University
Tallahassee, United States
4 h-index
6 publications
257 citations

Beijing Normal University
Beijing, China
4 h-index
13 publications
1K citations

University of Groningen
Groningen, The Netherlands
4 h-index
8 publications
804 citations
University of Southern California
Los Angeles, United States
3 h-index
4 publications
189 citations
University of Washington
Seattle, United States
3 h-index
3 publications
255 citations
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6 publications · 308 citations
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ORM · 4 publications · 2.2K citations
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4 publications · 113 citations
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4 publications · 3.9K citations
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4 publications · 420 citations
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