Factorial Design Sample Size Calculator. The FactorialPowerPlan macro can be used to do sample size and power calculations for planning either a factorial or fractional factorial experiment. This routine calculates power or sample size for F tests from a multi-factor analysis of variance design using only Cohens 1988 effect sizes as input.
Get an overall sample size and simulate data based on these means and sample size. Factorial designs Able to estimate uncertainty Replication Randomization. In Values of the maximum difference between main effect means enter 04.
Use an observed Cohens d to inform you of this.
In my case I will have 4 samples. To perform a power and sample size calculation for a 2-level factorial design choose Stat. 2 Sample size calculation To compute the sample sizes from which to measure the means given above we consider the so-called concept of power. We usually try to determine the sample size to give a particular power often 80.
