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.

majiayu000 Updated 567 repo stars

File contents

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

Version: 1.0.0

majiayu000/claude-skill-registry-data/tree/main/development/experiment-design commit e1b70e57e8

Frequently asked questions

npx skillmds@latest add majiayu000/experiment-design-2