Statistical power and optimal design for multisite randomized trials.
The multisite trial, widely used in mental health research and education, enables experimenters to assess the average impact of a treatment across sites, the variance of treatment impact across sites, and the moderating effect of site characteristics on treatment efficacy. Key design decisions include the sample size per site and the number of sites. To consider power implications, this article proposes a standardized hierarchical linear model and uses rules of thumb similar to those proposed by J. Cohen (1988) for small, medium, and large effect sizes and for small, medium, and large treatment-by-site variance. Optimal allocation of resources within and between sites as a function of variance components and costs at each level are also considered. The approach generalizes to quasiexperiments with a similar structure. These ideas are illustrated with newly developed software.
School of Education, University of Michigan, Ann Arbor 48109, USA. rauden@umich.edu
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Raudenbush
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Liu
D015276:Health Care Rationing / Q000706:statistics & numerical data; D006801:Humans; D016014:Linear Models; D008432:Mathematical Computing; D015337:Multicenter Studies as Topic / Q000706:statistics & numerical data*; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012984:Software