ajps-research-design
Use when defending the research design of an American Journal of Political Science (AJPS) manuscript — causal identification for observational work, experimental and survey-experimental design, formal-empirical linkage, or case-based inference. AJPS reviewers are quantitatively demanding, so identification must license the claim being made. Strengthens the design; it does not write code.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajps-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 (ajps-research-design) AJPS publishes many methods but holds identification and inference to a high standard. The design must credibly connect the argument (`ajps-theory-building`) to evidence and rule out the strongest rival. This skill is mode-aware: pick the section that matches your work and defend it on its own terms. ## When to trigger - Specifying identification, sampling, case selection, or experimental design - A reviewer questioned causal claims, a confound, external validity, or inference - Preparing a **pre-analysis plan** before collecting/analyzing data - Justifying why your design adjudicates the rival from `ajps-literature-positioning` ## Quantitative / causal inference - **Identification first.** State the **estimand** and the assumptions that license a causal reading (ignorability, parallel trends, exclusion, continuity). Defend them; do not assert them. - **Designs**: experiments (incl. survey/conjoint), DID/event study (use modern staggered-adoption estimators, not naive TWFE), IV (first-stage strength, exclusion, weak-IV-robust inference), RDD (density/manipulation tests, bandwidth robustness), matching/weighting with balance + sensitivity. -
- When to trigger
- Quantitative / causal inference
- Experiments (lab / survey / field)
- Formal-empirical linkage
- Case-based / qualitative & multi-method
- The adjudication test (AJPS-specific)
- Design-credibility table (the bar AJPS referees apply by design)
- Worked micro-example (illustrative numbers)
- Referee-pushback patterns and the venue-specific fix
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the ajps-research-design skill do?
Use when defending the research design of an American Journal of Political Science (AJPS) manuscript — causal identification for observational work, experimental and survey-experimental design, formal-empirical linkage, or case-based inference. AJPS reviewers are quantitatively demanding, so identification must license the claim being made. Strengthens the design; it does not write code.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ajps-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.