Optimal Design for Two-Level Random Assignment and Regression Discontinuity Studies

Autor/inn/en	Rhoads, Christopher H.; Dye, Charles
Titel	Optimal Design for Two-Level Random Assignment and Regression Discontinuity Studies
Quelle	In: Journal of Experimental Education, 84 (2016) 3, S.421-448 (28 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2015.1048846
Schlagwörter	Research Design; Hierarchical Linear Modeling; Regression (Statistics); Sample Size; Computation; Costs; Statistical Analysis; Models + Suchen Sie Ihr Suchwort? Forschungsdesign; Regression; Regressionsanalyse; Cost; Kosten; Statistische Analyse; Analogiemodell
Abstract	An important concern when planning research studies is to obtain maximum precision of an estimate of a treatment effect given a budget constraint. When research designs have a "multilevel" or "hierarchical" structure changes in sample size at different levels of the design will impact precision differently. Furthermore, there will typically be differential costs of enrolling additional units at different levels of the hierarchy. The optimal design problem in multilevel research studies involves determining the optimal sample size at each level of the design given specified design parameters and a specified marginal cost of recruitment at each level. The current work extends existing results by considering optimal design for (a) unbalanced random assignment designs and (b) regression discontinuity designs. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01