Experimental Design and Statistical Power for Cluster Randomized Cost-Effectiveness Trials

Autor/inn/en	Li, Wei; Dong, Nianbo; Maynarad, Rebecca; Spybrook, Jessaca; Kelcey, Ben
Titel	Experimental Design and Statistical Power for Cluster Randomized Cost-Effectiveness Trials
Quelle	In: Journal of Research on Educational Effectiveness, 16 (2023) 4, S.681-706 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Li, Wei) ORCID (Dong, Nianbo) ORCID (Maynarad, Rebecca) ORCID (Spybrook, Jessaca)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1934-5747
DOI	10.1080/19345747.2022.2142177
Schlagwörter	Research Design; Statistical Analysis; Randomized Controlled Trials; Cost Effectiveness; Hierarchical Linear Modeling; Computation; Mathematical Formulas; Computer Software; Sample Size + Suchen Sie Ihr Suchwort? Forschungsdesign; Statistische Analyse; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Mathematische Formel
Abstract	Cluster randomized trials (CRTs) are commonly used to evaluate educational interventions, particularly their effectiveness. Recently there has been greater emphasis on using these trials to explore cost-effectiveness. However, methods for establishing the power of cluster randomized cost-effectiveness trials (CRCETs) are limited. This study develops power computation formulas and statistical software to help researchers plan two- and three-level CRCETs. We illustrate the application of our formulas and software for the designs of CRCETs and discuss the influence of sample size, nesting effects, covariates, and the covariance between cost and effectiveness measures on the statistical power of cost-effectiveness estimates. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01