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Statistical Power for Randomized Controlled Trials with Clusters of Varying Size
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Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Journal of Experimental Education, 2022
In two-level designs, the total sample is a function of both the number of Level 2 clusters and the average number of Level 1 units per cluster. Traditional multilevel power calculations rely on either the arithmetic average or the harmonic mean when estimating the average number of Level 1 units across clusters of unbalanced size. The current…
Descriptors: Multivariate Analysis, Randomized Controlled Trials, Monte Carlo Methods, Sample Size
Statistical Power for Randomized Controlled Trials with Clusters of Varying Size
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Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Grantee Submission, 2021
Power in multilevel models remains an area of interest to both methodologists and substantive researchers. In two-level designs, the total sample is a function of both the number of level-2 (e.g., schools) clusters and the average number of level-1 (e.g., classrooms) units per cluster. Traditional multilevel power calculations rely on either the…
Descriptors: Multivariate Analysis, Randomized Controlled Trials, Monte Carlo Methods, Sample Size