Lesson 1658 of 2244
AI Power-Analysis Narrative: Drafting Sample-Size Justification Sections
AI can draft power-analysis sample-size justification narratives, but the effect-size assumption stays with the investigator.
Adults & Professionals · Research & Analysis · ~7 min read
The premise
AI can draft power-analysis narratives that document effect-size assumption, alpha, power, and the resulting sample-size estimate.
What AI does well here
- Render the power-analysis assumption set into one paragraph.
- Mirror the sensitivity-analysis approach across plausible effect sizes.
What AI cannot do
- Decide the effect-size assumption.
- Replace the biostatistician's calculation.
Key terms in this lesson
Practice this safely
Use a real but low-risk workflow from your day. Treat AI as a drafting and organizing layer, then verify the output before anyone relies on it.
- 1Ask AI to explain power analysis in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Power-Analysis Narrative: Drafting Sample-Size Justification Sections" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check effect size against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
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