jpart-research-design
Use when defending the research design of a Journal of Public Administration Research and Theory (JPART) manuscript — survey/lab/field experiments on public employees and citizens, causal observational designs, multilevel structures, or mixed methods. JPART has moved strongly toward experimental and causal identification. Strengthens the design; it does not write code.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-research-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Design (jpart-research-design) JPART has moved toward **experimental and causal** identification, and reviewers expect the design to connect the theory (`jpart-theory-building`) to evidence credibly. This skill is mode-aware: pick the section that matches your work and defend it against the strongest alternative explanation a public-management reviewer will raise. ## When to trigger - Specifying identification, an experiment, sampling, or measurement - A reviewer questioned causal claims, common-method bias, endogeneity, or external validity - Preparing a **pre-analysis plan** / preregistration (JPART accepts blinded pre-reg reports) - Justifying why the design adjudicates the rival account from `jpart-literature-positioning` ## Design-choice gate Start by matching the theoretical claim to the minimum credible design. Do not choose the design by data availability alone. | Claim type | Minimum design burden | Common downgrade | |------------|-----------------------|------------------| | "X causes Y in public organizations" | Identification strategy with an estimand, assignment/variation story, and falsification or sensitivity evidence | Reframe as association or theory-bu
- When to trigger
- Design-choice gate
- Experiments (the modern JPART workhorse)
- Observational / causal
- Multilevel / organizational
- Mixed methods
- The adjudication test (JPART-specific)
- Reviewer stress tests
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the jpart-research-design skill do?
Use when defending the research design of a Journal of Public Administration Research and Theory (JPART) manuscript — survey/lab/field experiments on public employees and citizens, causal observational designs, multilevel structures, or mixed methods. JPART has moved strongly toward experimental and causal identification. Strengthens the design; it does not write code.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-research-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.