From comparative-political-studies-skills
Runs and reports analyses for Comparative Political Studies manuscripts: estimation, uncertainty, robustness, and multi-method triangulation on comparative data.
How this skill is triggered — by the user, by Claude, or both
Slash command
/comparative-political-studies-skills:cps-data-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Once the design is fixed (`cps-research-design`), this skill governs how the analyses are run and
Once the design is fixed (cps-research-design), this skill governs how the analyses are run and
reported so a CPS reviewer trusts them. Comparative data bring distinctive hazards: few clusters
(countries), cross-national measurement error, missing data that differ by regime, and the temptation to
over-read a panel correlation as causal. The standard is modern, transparent, and replication-ready.
cps-theory-building), not data-mined; adjust for multiple comparisons.| Hazard | Symptom | Fix |
|---|---|---|
| Few clusters (countries) | over-rejection, tiny SEs | wild-cluster bootstrap / randomization inference |
| Cross-national measurement error | results flip across codings | show robustness to V-Dem/Polity/alt scales |
| Differential missingness | sample changes by regime type | report attrition; multiple imputation with caution |
| Time-series confounding | spurious trend correlations | unit + period FE; over-time placebo |
Run this audit before interpreting the main coefficient:
The output should connect each failure mode to a design threat. Do not add a robustness table unless it
answers a named threat in cps-research-design.
【Headline result】estimate + CI, with the design it rests on
【Inference】clustering level + few-cluster correction if any
【Measurement】sources/codings + alt-coding robustness
【Failure-mode audit】concept equivalence / observation selection / temporal dependence / cluster leverage / multiplicity
【Robustness】the design-threats probed
【Heterogeneity】theory-driven subgroups + multiple-testing fix
【Reproducible?】script regenerates every exhibit [Y/N]
【Next】cps-tables-figures
../../resources/code/ — clean → estimate → robustness → tables skeleton (Stata + Python)../../resources/external_tools.md — estimation and inference packages (R / Stata / Python)npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin comparative-political-studies-skillsGuides analysis execution and reporting for World Politics manuscripts, emphasizing honest uncertainty, robustness checks, cross-national inference, measurement validation, and reproducibility for Dataverse replication.
Defends research design for Comparative Political Studies manuscripts — causal identification, case comparison, process tracing, experiments, and multi-method designs.
Executes and reports cross-national governance analysis for Governance journal manuscripts, covering inference, clustering, robustness, multi-method triangulation, measurement validity, and small-N comparative samples.