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ERIC Number: EJ1041345
Record Type: Journal
Publication Date: 2014
Pages: 23
Abstractor: As Provided
Reference Count: 17
ISBN: N/A
ISSN: ISSN-1934-5747
Understanding Statistical Power in Cluster Randomized Trials: Challenges Posed by Differences in Notation and Terminology
Spybrook, Jessaca; Hedges, Larry; Borenstein, Michael
Journal of Research on Educational Effectiveness, v7 n4 p384-406 2014
Research designs in which clusters are the unit of randomization are quite common in the social sciences. Given the multilevel nature of these studies, the power analyses for these studies are more complex than in a simple individually randomized trial. Tools are now available to help researchers conduct power analyses for cluster randomized trials. A key challenge facing researchers in using the tools is that different tools use different language, notation, and design parameters. This makes it difficult for researchers to communicate about the steps for a power analysis or to evaluate the appropriateness of a power analysis. This article provides explicit connections between the language, notation, and design parameters of two widely used approaches and tools for conducting power analyses, "Optimal Design Plus" and "CRT Power." The formulas for translating design parameters between the two programs are provided and the comparability of the two programs is illustrated.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A