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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Eight Characteristics Of Rigorous Multilevel Implementation Research: A Step-By-Step Guide, Rebecca Lengnick-Hall, Nathaniel J. Williams, Mark G. Ehrhart, Cathleen E. Willging, Alicia C. Bunger, Rinad S. Beidas, Gregory A. Aarons
Eight Characteristics Of Rigorous Multilevel Implementation Research: A Step-By-Step Guide, Rebecca Lengnick-Hall, Nathaniel J. Williams, Mark G. Ehrhart, Cathleen E. Willging, Alicia C. Bunger, Rinad S. Beidas, Gregory A. Aarons
Social Work Faculty Publications and Presentations
Background Although healthcare is delivered in inherently multilevel contexts, implementation science has no widely endorsed methodological standards defining the characteristics of rigorous, multilevel implementation research. We identify and describe eight characteristics of high-quality, multilevel implementation research to encourage discussion, spur debate, and guide decision-making around study design and methodological issues.
Recommendations Implementation researchers who conduct rigorous multilevel implementation research demonstrate the following eight characteristics. First, they map and operationalize the specific multilevel context for defined populations and settings. Second, they define and state the level of each construct under study. Third, they describe how constructs relate to each other within …
Required Sample Size To Detect Mediation In 3-Level Implementation Studies, Nathaniel J. Williams, Kristopher J. Preacher, Paul D. Allison, David S. Mandell, Steven C. Marcus
Required Sample Size To Detect Mediation In 3-Level Implementation Studies, Nathaniel J. Williams, Kristopher J. Preacher, Paul D. Allison, David S. Mandell, Steven C. Marcus
Social Work Faculty Publications and Presentations
Background: Statistical tests of mediation are important for advancing implementation science; however, little research has examined the sample sizes needed to detect mediation in 3-level designs (e.g., organization, provider, patient) that are common in implementation research. Using a generalizable Monte Carlo simulation method, this paper examines the sample sizes required to detect mediation in 3-level designs under a range of conditions plausible for implementation studies.
Method: Statistical power was estimated for 17,496 3-level mediation designs in which the independent variable (X) resided at the highest cluster level (e.g., organization), the mediator (M) resided at the intermediate …