Power and Sample Size in Multilevel Linear Models
Encyclopedia of Statistics in Behavioral SciencePublished 15 April 2005
Tom A. B. Snijders
Citations487
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ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
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LimitationsResearch study limitations comes here
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TL;DR
Some formulas are given to obtain insight in the design aspects that are most influential for standard errors and power in multilevel designs.
Abstract
Abstract 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.
Keywords
Decision SciencesMathematics
Multilevel Analysis
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