Use when
- A group difference, within-subject change, or association needs magnitude context.
- The page compares outcomes across methods, cohorts, or time points.
- Statistical significance alone would hide practical interpretation.
Effect size describes the magnitude of a result, making a finding interpretable beyond whether a statistical threshold was crossed.
Use effect size to communicate how large a difference or association is in practical terms. Pair it with uncertainty and raw-unit context so readers can judge whether the result is meaningful for the method.
| Raw scale | The endpoint unit before standardization or transformation. |
|---|---|
| Effect metric | Mean difference, standardized difference, ratio, odds, slope, or other planned metric. |
| Uncertainty | Confidence interval, credible interval, or other interval estimate. |
| Interpretation limit | Magnitude does not prove mechanism or external validity. |
Use these related surfaces to move from the scientific method question to the relevant product page, endpoint definition, analysis tool, or adjacent guide.