A Comparison of Single Sample and Bootstrap Methods to Assess Mediation in Cluster Randomized Trials

Autor/inn/en	Pituch, Keenan A.; Stapleton, Laura M.; Kang, Joo Youn
Titel	A Comparison of Single Sample and Bootstrap Methods to Assess Mediation in Cluster Randomized Trials
Quelle	In: Multivariate Behavioral Research, 41 (2006) 3, S.367-400 (34 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
DOI	10.1207/s15327906mbr4103_5
Schlagwörter	Monte Carlo Methods; Research Design; Mediation Theory; Comparative Testing; Scoring Rubrics; Evaluation Research; Methods Research; Cluster Grouping + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Forschungsdesign; Mediationsverfahren; Scoring formulas; Auswertungsbogen; Evaluationsforschung; Methodenforschung; Eingruppierung
Abstract	A Monte Carlo study examined the statistical performance of single sample and bootstrap methods that can be used to test and form confidence interval estimates of indirect effects in two cluster randomized experimental designs. The designs were similar in that they featured random assignment of clusters to one of two treatment conditions and included a single intervening variable and outcome, but they differed in whether the mediator was measured at the participant or site level. A bias-corrected bootstrap had the best statistical performance for each design and was closely followed by the empirical-Mtest, either of which is recommended for testing and estimating indirect effects in multilevel designs. In addition, consistent with previous research, the commonly used z test had relatively poor performance. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10