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jop-data-analysis
Use for analysis-stage decisions on a The Journal of Politics (JOP) manuscript — uncertainty, robustness, and reporting norms — written so the work is reproducible from line one. JOP makes acceptance contingent on replicability and a JOP replication analyst re-runs the code, so every reported number must come from a script. Guides analysis; it does not fabricate results.
Journal-of-Politics-Skills/skills/jop-data-analysis/SKILL.md
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# Data Analysis (jop-data-analysis)
At JOP, analysis and **reproducibility are the same task**: acceptance is **contingent on
replicability**, and a **JOP replication analyst** re-runs your code at conditional acceptance. Write the
analysis so that every number in the paper is **regenerated by a script** — and reported with honest
uncertainty within the **page budget**.
## When to trigger
- Setting up the estimation/analysis pipeline
- Deciding which robustness checks belong in the main text vs the Online Appendix
- A reviewer asked for additional specifications, uncertainty, or sensitivity
- Preparing numbers that must match the deposited replication package exactly