# Experiment Design

> Design rigorous experiments following best practices. Use when: (1) Planning research studies, (2) Grant proposal development, (3) Pre-registration, (4) Ensuring internal validity, (5) Meeting NIH rigor standards.

- Skill: `majiayu000/experiment-design-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/experiment-design-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/experiment-design-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/experiment-design-2

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# Experiment Design Skill

## Purpose
Design methodologically rigorous experiments with appropriate controls and randomization.

## Key Design Elements

**1. Research Question**: Clear, testable hypothesis
**2. Study Design**: RCT, quasi-experimental, observational
**3. Sample Size**: Power analysis justified
**4. Randomization**: Method specified
**5. Blinding**: Who is blinded
**6. Controls**: Appropriate comparison groups
**7. Outcomes**: Primary and secondary clearly defined
**8. Analysis Plan**: Pre-specified statistical approach

## Common Designs

**Between-Subjects**: Different participants per condition
**Within-Subjects**: Same participants, repeated measures
**Factorial**: Multiple factors (2x2, 2x3)
**Crossover**: Participants receive all treatments
**Stepped-Wedge**: Phased rollout

## NIH Rigor Checklist

- [ ] Scientific premise established
- [ ] Rigorous design (appropriate controls)
- [ ] Biological variables considered (SABV)
- [ ] Authentication of key resources
- [ ] Transparent reporting planned

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**Version:** 1.0.0