Optimal Sample Allocation in Multisite Randomized Trials

Autor/inn/en	Shen, Zuchao; Kelcey, Benjamin
Titel	Optimal Sample Allocation in Multisite Randomized Trials
Quelle	In: Journal of Experimental Education, 90 (2022) 3, S.693-711 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2020.1830361
Schlagwörter	Randomized Controlled Trials; Sampling; Research Design; Statistical Analysis; Sample Size; Equations (Mathematics) + Suchen Sie Ihr Suchwort? Forschungsdesign; Statistische Analyse; Equations; Mathematics; Gleichungslehre
Abstract	Optimal design of multisite randomized trials leverages sampling costs to optimize sampling ratios and ultimately identify more efficient and powerful designs. Past implementations of the optimal design framework have assumed that costs of sampling units are equal across treatment conditions. In this study, we developed a more flexible optimal design framework by introducing additional optimal design parameters that track sampling cost variation across levels and treatment conditions. The proposed framework can frequently suggest more powerful and efficient designs than those identified by conventional frameworks. Additionally, the more flexible framework allows researchers to place constraints for practical considerations. The proposed method has been implemented in the R package "odr." (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01