conjoint-design
CommunityDesigns rigorous conjoint experiments with AMCE.
Education & Research#experimental-design#power-analysis#conjoint#amce#factorial-vignette#pre-analysis-plan#design-variants
Authorscdenney
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Specialized logic for designing conjoint and factorial vignette experiments, enabling researchers to plan and execute rigorous, policy-relevant attribute-based studies.
Core Features & Use Cases
- Attribute architecture guidance: ensure orthogonality, randomization strategy, and valid design constraints.
- Power analysis and estimation: AMCE/MM estimation, interaction considerations, and robust statistical best practices.
- Design variant guidance: choose between paired-choice, rating, and factorial vignette formats; draft pre-analysis plans and regression specifications.
- Use Case: Design a new conjoint study with 5 attributes and 4 levels per attribute, compare design variants, and prepare a preregistered analysis plan.
Quick Start
Specify your attributes and levels, then request a design and power analysis for your conjoint study.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: conjoint-design Download link: https://github.com/scdenney/open-science-skills/archive/main.zip#conjoint-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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