Strategies for Efficient Experimental Design in Studies Probing 2-1-1 Mediation

Autor/inn/en	Kelcey, Ben; Shen, Zuchao
Titel	Strategies for Efficient Experimental Design in Studies Probing 2-1-1 Mediation
Quelle	In: Journal of Experimental Education, 88 (2020) 2, S.311-334 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2018.1533796
Schlagwörter	Research Design; Sampling; Statistical Analysis; Hierarchical Linear Modeling; Randomized Controlled Trials + Suchen Sie Ihr Suchwort? Forschungsdesign; Statistische Analyse
Abstract	When well-implemented, mediation analyses play a critical role in probing theories of action because their results help lay the ground work for the critical development of a treatment and the iterative advancement of theories that are foundational to a discipline. Despite strong interest in designs that incorporate mediation, few studies have developed effective and efficient strategies to plan experiments examining multilevel mediation. We probe several design strategies for cluster-randomized designs and derive sampling plans that maximize power under cost constraints. The results suggest that among the more durable design strategies for mediation is covariance adjustment on variables predictive of the outcome and optimal sample allocation. The statistical power and optimal sample allocation results are implemented in the R package PowerUpR. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01