47 lines
1.2 KiB
Markdown
47 lines
1.2 KiB
Markdown
---
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name: results-interpretation
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description: "Interpret statistical results correctly and comprehensively. Use when: (1) Writing results sections, (2) Discussing findings, (3) Avoiding common misinterpretations, (4) Reporting effect sizes and confidence intervals."
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allowed-tools: Read, Write
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version: 1.0.0
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---
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# Results Interpretation Skill
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## Purpose
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Correctly interpret and report statistical findings with appropriate nuance.
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## Key Principles
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**1. Effect Size > p-value**
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- Report effect sizes with 95% CI
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- Statistical significance ≠ practical importance
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**2. Confidence Intervals**
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- Range of plausible values
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- Precision of estimate
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- If CI includes 0, not statistically significant
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**3. P-values**
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- Probability of data given H0
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- NOT: Probability H0 is true
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- NOT: Probability of replication
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**4. Multiple Comparisons**
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- Adjust alpha if running many tests
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- Distinguish primary vs exploratory
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## Correct Reporting
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**Example:**
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"The intervention group showed higher scores (M=45.2, SD=8.3) than control (M=37.8, SD=9.1), t(98)=3.45, p<.001, d=0.69, 95% CI[0.29, 1.09]. This represents a medium-to-large effect."
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**Include:**
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- Descriptive statistics
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- Test statistic and df
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- P-value
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- Effect size with CI
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- Interpretation
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---
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**Version:** 1.0.0
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