From public-administration-review-skills
Defends research designs for PAR manuscripts: causal inference (DiD, IV, RD, experiments), case comparisons, process tracing, and mixed methods. Strengthens design justification against reviewer critiques.
How this skill is triggered — by the user, by Claude, or both
Slash command
/public-administration-review-skills:pubar-research-designThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
PAR accepts many methodologies but is demanding about each. The design must credibly connect the
PAR accepts many methodologies but is demanding about each. The design must credibly connect the
argument (pubar-theory-building) to evidence drawn from public organizations, bureaucrats, citizens,
or jurisdictions. This skill is mode-aware: pick the section that matches your work and defend it
against the strongest alternative explanation.
pubar-literature-positioningFor the single strongest rival explanation, write one sentence: "If the rival were true rather than my argument, the agencies/managers/citizens would look like ___; instead they look like ___." If you cannot, the design does not yet identify the contribution — and the practitioner takeaway is unsafe.
【Mode】quant-causal / experiment / qualitative / mixed
【Estimand or claim】what is being identified/shown
【Key assumption(s)】and how each is defended
【Rival ruled out】the adjudication sentence
【Robustness/sensitivity】planned checks (clustering, few-cluster, Oster/E-value)
【Next】pubar-data-analysis
../../resources/external_tools.md — design/identification packages (R/Stata/Python) and CAQDAS for qualitative work../../resources/official-source-map.md — pre-registration badges and TOP notesnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin public-administration-review-skillsDefends research design for JPART manuscripts, covering experimental and causal identification, multilevel structures, and mixed methods.
Defends research design for APSR manuscripts: causal identification, case selection, process tracing, experimental design, and formal-empirical linkage.
Defends research design for BJPS manuscripts: causal identification, case selection, process tracing, experimental design, and formal-empirical linkage.