The Design of Cluster Randomized Trials with Random Cross-Classifications

Autor/inn/en	Moerbeek, Mirjam; Safarkhani, Maryam
Titel	The Design of Cluster Randomized Trials with Random Cross-Classifications
Quelle	In: Journal of Educational and Behavioral Statistics, 43 (2018) 2, S.159-181 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998617730303
Schlagwörter	Randomized Controlled Trials; Classification; Research Methodology; Military Personnel; Training; Health Promotion; Sample Size; Statistical Analysis; Program Effectiveness; Intervention + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Research method; Forschungsmethode; Ausbildung; Gesundheitsfürsorge; Gesundheitshilfe; Reihenuntersuchung; Statistische Analyse
Abstract	Data from cluster randomized trials do not always have a pure hierarchical structure. For instance, students are nested within schools that may be crossed by neighborhoods, and soldiers are nested within army units that may be crossed by mental health-care professionals. It is important that the random cross-classification is taken into account while planning a cluster randomized trial. This article presents sample size equations, such that a desired power level is achieved for the test on treatment effect. Furthermore, it also presents optimal sample sizes given a budgetary constraint, with a special focus on conditional optimal designs where one of the sample sizes is fixed beforehand. The optimal design methodology is illustrated using a postdeployment training to reduce ill-health in armed forces personnel. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01