cogsci-statistics
Cognitive Science Statistical Analysis
Purpose
This skill encodes domain-specific statistical knowledge for cognitive science and neuroscience research. It addresses the modeling decisions, correction strategies, and reporting conventions that a general-purpose statistician or programmer would get wrong without training in the field. For concrete analysis recipes with code, see references/common-analyses.md.
When to Use This Skill
- Choosing between repeated-measures ANOVA and mixed-effects models for a cognitive experiment
- Specifying random effects structure for designs with subjects and items
- Deciding how to handle reaction time (RT) data distributions
- Selecting the appropriate multiple comparison correction
- Deciding whether to use frequentist or Bayesian analysis
- Reporting effect sizes and statistical results for journal submission
Research Planning Protocol
Before executing the domain-specific steps below, you MUST:
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