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Power and Sample Size in Multilevel Linear Models

Bibliographic Data

ID23326481
AuthorsTom A B Snijders
Year2005
Publication date2005-04-15
Peer ReviewedYes
Open AccessYes
TypeOTHER
VenueEncyclopedia of Statistics in Behavioral Science (JOURNAL)
PublisherWiley (PUBLISHER • GB)
DOI10.1002/0470013192.bsa492
ISBN9780470860809
LanguageEN
Citations received81
References cited11

Sample size determination in multilevel designs requires attention to the fact that statistical power depends on the total sample sizes for each level. It is usually desirable to have as many units as possible at the top level of the multilevel hierarchy. Some formulas are given to obtain insight in the design aspects that are most influential for standard errors and power.

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Unique citing works81
Citations per year4,26
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 81

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