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apsr-data-analysis

separate

Use when executing and reporting the analysis for an American Political Science Review (APSR) manuscript so it survives expert, double-anonymous review — honest uncertainty, robustness, and triangulation appropriate to quantitative, experimental, or computational work. Guides analysis norms; it does not fabricate results.

When to use

• Running main and supporting analyses
• Building the results section
• Addressing reviewer requests for robustness or heterogeneity
• Reconciling preregistered vs. exploratory analyses
• Making the analysis reproducible before deposit
• Executing computational or text-as-data analyses
• Reporting uncertainty and effect sizes
• Managing multiple comparisons and inference

When not to use

• Fabricating results
• Design decisions (covered by apsr-research-design)
• Transparency and data policy (covered by apsr-transparency-and-data-policy)

Skill page

Source