Optimal Design and Statistical Power for Experimental Studies
Investigating Main, Mediation, and Moderation Effects
Description
Calculate the optimal sample size allocation that
produces the highest statistical power for experimental
studies under a budget constraint, and
perform power analyses with and without accommodating
cost structures of sampling. The designs cover single-level
and multilevel experiments detecting main, mediation,
and moderation effects (and some combinations).
The references for the proposed methods include:
(1) Shen, Z., & Kelcey, B. (2020).
Optimal sample allocation under unequal costs in
cluster-randomized trials.
Journal of Educational and Behavioral Statistics, 45(4): 446-474.
.
(2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for
three-level multisite cluster-randomized trials.
Journal of Research on Educational Effectiveness, 15 (1), 130-150.
.
(3) Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in
multisite randomized trials. The Journal of Experimental Education.
.
(4) Champely, S. (2020). pwr: Basic functions for power analysis
(Version 1.3-0) [Software]. Available from
.