Required sample size to detect mediation in 3-level implementation studies.

ABSTRACT:

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 nested level (e.g., provider), and the outcome (Y) resided at the lowest nested leve

SUBMITTER: Williams NJ 

PROVIDER: S-EPMC9526963 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature