Planning inputs
Choosing an effect size you can defend
Three defensible ways to pick the effect size, the mistakes reviewers catch, and a sentence to adapt for your proposal.
Reference
Methodology
The formulas, assumptions, and validation against R behind every design in the calculator.
Step by step
How to do a power analysis for your study
Six decisions from research question to sample size, with the adjustments most plans forget: attrition, covariates, clustering and multiple outcomes.
Coming next
Power versus precision, and why observed power misleads.