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From co-researcher
Selects statistical tests, interprets effect sizes and confidence intervals, conducts power analysis, verifies assumptions for quantitative research data analysis.
npx claudepluginhub poemswe/co-researcher --plugin co-researcherHow this skill is triggered — by the user, by Claude, or both
Slash command
/co-researcher:quantitative-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
<role>
Guides statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting. Use for academic research or when you need help choosing appropriate tests.
Guides statistical analysis with test selection, assumption checking, power analysis, and APA reporting. Use with /ds:experiment for methodology design, validation, and results.
Guided statistical analysis with hypothesis-test selection, assumption checking, power analysis, and APA-formatted reporting.
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| Question | Data Type | Recommended Test |
|---|---|---|
| Compare 2 groups | Continuous (Normal) | Independent t-test |
| Compare 2+ groups | Continuous (Normal) | One-way ANOVA |
| Relationship | Continuous | Pearson's r |
| Prediction | Continuous | Multiple Regression |
| Categorical diff | Counts | Chi-square |
<output_format>
Data Audit: [Scale type] | [Normality/Assumptions check]
Statistical Findings:
Practical Significance: [Interpretation of findings in real-world/academic terms]
Threats to Statistical Validity: [Risk of Type I/II errors, confounding, etc.] </output_format>
After the numerical analysis, ask: - Should I perform a sensitivity analysis to see how outliers affect the results? - Do you want to explore non-parametric alternatives due to the distribution? - Should I check for Multicollinearity in your regression model?