🔬 Scientific Research · Study Design
Power studies before collecting a single datapoint
Effect-size estimates, power targets, and preregistration preventing underpowered regrets.
foundation~30 minResearchersPhD StudentsPostdocs
Steps
- 1Estimate effect size from prior literature or pilot data honestly
- 2Set α=0.05, power=0.80 minimum; compute required N per group
- 3Account for expected attrition/contamination in recruitment numbers
- 4Preregister hypotheses, exclusions, and analysis plan
- 5Define stopping rules and interim analysis boundaries upfront
- 6Archive design doc citable regardless of outcome
Common Pitfalls
- ▲N=10 convenience samples dressed as exploratory
- ▲HARKing after unblinded looks at trends
Commands
Install with skills CLI
$ npx skills add aniruddhaadak80/skills --skill study-design-power-analysis-firstInstall globally
$ npx skills add aniruddhaadak80/skills --skill study-design-power-analysis-first -gTags
#statistics#power#preregistration#scientific-research#study-design