Individual skill
apsr-data-analysis
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.
American-Political-Science-Review-Skills/skills/apsr-data-analysis/SKILL.md
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# Data Analysis (apsr-data-analysis)
APSR reviewers are methodologically sophisticated and the editorial office will later **re-run your
code** against the manuscript's tables and figures (see `apsr-transparency-and-data-policy`). Analyze
as if both are true — because they are. This skill covers execution and reporting norms; design
decisions live in `apsr-research-design`.
## When to trigger
- Running main and supporting analyses; building the results section
- A reviewer asked for robustness, heterogeneity, or alternative specifications
- Reconciling preregistered vs. exploratory analyses
- Making the analysis reproducible before deposit
