Bias and Uncertainty Corrected Sample Size
Bias and Uncertainty Corrected Sample Size (BUCSS)
Necessary sample size to reach desired power for a between-subjects AN...
Necessary sample size to reach desired power for a one or two-way betw...
Necessary sample size to reach desired power for a dependent t-test us...
Necessary sample size to reach desired power for an independent t-test...
Necessary sample size to reach desired power for a test of model R2 in...
Necessary sample size to reach desired power for a test of multiple pr...
Necessary sample size to reach desired power for a single coefficient ...
Necessary sample size to reach desired power for a split-plot (mixed) ...
Necessary sample size to reach desired power for two-factor split-plot...
Necessary sample size to reach desired power for a within-subjects ANO...
Necessary sample size to reach desired power for a one or two-way with...
Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562).