Education Commons^™

Powerup!: A Tool For Calculating Minimum Detectable Effect Sizes And Minimum Required Sample Sizes For Experimental And Quasi-Experimental Designs, Nianbo Dong, Rebecca A. Maynard

REBECCA A MAYNARD

This paper complements existing power analysis tools by offering tools to compute minimum detectable effect sizes (MDES) for existing studies and to estimate minimum required sample sizes (MRSS) for studies under design. The tools that accompany this paper support estimates of MDES or MSSR for 21 different study designs that include 14 random assignment designs (6 designs in which individuals are randomly assigned to treatment or control condition and 8 in which clusters of individuals are randomly assigned to condition, with models differing depending on whether the sample was blocked prior to random assignment and by whether the analytic models …