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: