Power Analysis Tools for Multilevel Randomized Experiments
Three-Level Blocked Cluster-level Random Assignment Design, Treatment ...
Four-Level Blocked Cluster-level Random Assignment Design, Treatment a...
Four-Level Blocked Cluster-level Random Assignment Design, Treatment a...
Two-Level Blocked Individual-level Random Assignment Design
Three-Level Blocked Individual-level Random Assignment Design
Four-Level Blocked Individual-level Random Assignment Design
Object Conversion
Two-level Cluster-randomized Trials to Detect Main, Moderation and Med...
Three-level Cluster-randomized Trials to Detect Main, Moderation, and ...
Four-Level Cluster-randomized Trial
Individual-level Random Assignment Designs
Partially Nested Designs Probing Multilevel Mediation
Plots
Power Analysis Tools for Multilevel Randomized Experiments
Unambiguous Test of Replication for Ensemble of Studies
Plots Type I and Type II Error Rates
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/>.