Conditional Optimal Design in Three- and Four-Level Experiments

Autor/inn/en	Hedges, Larry V.; Borenstein, Michael
Titel	Conditional Optimal Design in Three- and Four-Level Experiments
Quelle	In: Journal of Educational and Behavioral Statistics, 39 (2014) 4, S.257-281 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998614534897
Schlagwörter	Experiments; Research Design; Sample Size; Correlation; Robustness (Statistics); Computation + Suchen Sie Ihr Suchwort? Erprobung; Forschungsdesign; Korrelation; Widerstandsfähigkeit
Abstract	The precision of estimates of treatment effects in multilevel experiments depends on the sample sizes chosen at each level. It is often desirable to choose sample sizes at each level to obtain the smallest variance for a fixed total cost, that is, to obtain optimal sample allocation. This article extends previous results on optimal allocation to four-level cluster randomized designs and randomized block designs. It also introduces the idea of constrained optimal allocation, where the sample size at one or more levels is fixed by considerations other than cost or sampling variation. Explicit formulas are given for constrained optimal allocation in three- and four-level designs. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10