Cognitive Science Statistical Analysis
CommunityStatistical best-practices for cognitive science
Education & Research#statistics#cognitive-science#bayesian#power-analysis#reporting-standards#mixed-effects#rt-analysis
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill encodes domain-specific statistical knowledge for cognitive science and neuroscience research, providing structured guidance on model choice, correction methods, and rigorous reporting to reduce common analytical errors.
Core Features & Use Cases
- Guidance on choosing between repeated-measures ANOVA and mixed-effects models, handling reaction time data, and deciding between frequentist and Bayesian frameworks.
- Ready-to-use analysis recipes and code patterns for common cognitive science designs (within- and between-subjects, RT, EEG, fMRI, mediation, and more).
- Clear reporting conventions, effect size guidance, and a structured planning protocol to ensure methodological rigor.
Quick Start
Provide your study design and I will generate a complete analysis plan, modeling choices, and reporting templates tailored to your data.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: Cognitive Science Statistical Analysis Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#cognitive-science-statistical-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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