PowerUpR

PowerUpR-package

PowerUp! series consist of three excel-based applications to design various multilevel randomized experiments to detect main treatment effects, and to design two- and three-level cluster-randomized trials (CRTs) to detect multilevel moderation and mediation. For more information please refer to <a href="https://www.causalevaluation.org/">https://www.causalevaluation.org/</a>.

Includes tools to calculate statistical power, minimum detectable effect size (MDES), MDES difference (MDESD), and minimum required sample size for various multilevel randomized experiments (MRE) with continuous outcomes.
Accomodates 14 types of MRE designs to detect main treatment effect, seven types of MRE designs to detect moderated treatment effect (2-1-1, 2-1-2, 2-2-1, 2-2-2, 3-3-1, 3-3-2, and 3-3-3 designs; <total.lev> - <trt.lev> - <mod.lev>),
five types of MRE designs to detect mediated treatment effects (2-1-1, 2-2-1, 3-1-1, 3-2-1, and 3-3-1 designs; <trt.lev> - <med.lev> - <out.lev>), four types of partially nested (PN) design to detect main treatment effect,
and three types of PN designs to detect mediated treatment effects (2/1, 3/1, 3/2; <trt.arm.lev> / <ctrl.arm.lev>).
See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.

Metin Bulus

Power Analysis Tools for Multilevel Randomized Experiments

Nianbo Dong

Benjamin Kelcey

Jessaca Spybrook

PowerUpR-package function

PowerUp! series consist of three excel-based applications to design various multilevel randomized experiments to detect main treatment effects, and to design two- and three-level cluster-randomized trials (CRTs) to detect multilevel moderation and mediation. For more information please refer to <a href='https://www.causalevaluation.org/'>https://www.causalevaluation.org/</a>.

PowerUpR-package: Power Analysis Tools for Multilevel Randomized Experiments

Description

Arguments