Using an Empirical Binomial Hierarchical Bayesian Model as an Alternative to Analyzing Data from Multisite Studies

Autor/inn/en	Hardin, J. Michael; Anderson, Billie S.; Woodby, Lesa L.; Crawford, Myra A.; Russell, Toya V.
Titel	Using an Empirical Binomial Hierarchical Bayesian Model as an Alternative to Analyzing Data from Multisite Studies
Quelle	In: Evaluation Review, 32 (2008) 2, S.143-156 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0193-841X
DOI	10.1177/0193841X07303585
Schlagwörter	Bayesian Statistics; Alternative Assessment; Data Analysis; Statistical Studies; Research Methodology; Demonstration Programs; Program Effectiveness; Multitrait Multimethod Techniques; Evaluation Problems; Inferences; Intervention; Smoking; Milieu Therapy; Case Studies + Suchen Sie Ihr Suchwort? Auswertung; Research method; Forschungsmethode; Inference; Inferenz; Rauchen; Milieutherapie; Case study; Fallstudie; Case Study
Abstract	This article explores the statistical methodologies used in demonstration and effectiveness studies when the treatments are applied across multiple settings. The importance of evaluating and how to evaluate these types of studies are discussed. As an alternative to standard methodology, the authors of this article offer an empirical binomial hierarchical Bayesian model as a way to effectively evaluate multisite studies. An application of using the Bayesian model in a real-world multisite study is given. (Contains 1 figure and 2 tables.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10