25.010 - PDC15: Designing Adequately Powered Cluster Randomized Trials to Detect Main Effects, Moderation, and Mediation

Session Type: Professional Development Course

Abstract

The purpose of this workshop is to train researchers and evaluators how to plan efficient
and effective cluster-randomized studies that probe hypotheses concerning main effects,
mediation, and moderation. We focus on the conceptual logic and mechanics of multilevel
studies and train participants in how to plan cluster-randomized studies with adequate power to
detect multilevel mediation, moderation, and main effects. We introduce participants to the free
PowerUp! software programs designed to estimate the statistical power to detect mediation,
moderation, and main effects across a wide range of designs. The workshop will combine lecture
with hands-on practice with the free software programs. The target audience includes researchers
and evaluators interested in planning and conducting multilevel studies that investigate
mediation, moderation, or main effects. Participants should bring a laptop to the session.

Sub Unit

• Professional Development and Training Committee

Director

• Benjamin Kelcey, University of Cincinnati

Instructors

• Nianbo Dong, University of North Carolina at Chapel Hill

• Jessaca K. Spybrook, Western Michigan University

• Kyle T. Cox, University of Cincinnati