Cognitive Science Power Analysis
Cognitive Science Power Analysis
Purpose
This skill encodes domain-specific knowledge for planning adequately powered studies in cognitive science and neuroscience. It provides:
- Effect size priors calibrated to specific paradigms and modalities (behavioral, EEG/ERP, fMRI, clinical/developmental)
- Sample size recommendations grounded in empirical meta-analyses rather than arbitrary conventions
- Power analysis workflow guidance tailored to the design complexities of cognitive neuroscience (repeated measures, multilevel, neuroimaging-specific tools)
An AI agent needs this because generic power analysis advice (e.g., "use G*Power with d = 0.5") fails to capture the enormous variability in effect sizes across cognitive science paradigms, and because neuroimaging modalities have unique statistical considerations.
When to Use This Skill
- A researcher is designing a new behavioral, EEG, or fMRI experiment and needs sample size justification
- A grant proposal requires a power analysis section
- A preregistration document needs effect size justification and sample size rationale
- Someone asks "how many participants do I need?" for a cognitive/neuroscience study
- Reviewing whether a published study was adequately powered
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