aerj-research-design
Use when defending the research design of an American Educational Research Journal (AERJ) manuscript — quantitative (multilevel, IRT, quasi-experimental, RCT), qualitative (case study, ethnography, interview), or mixed methods. AERJ judges each tradition on its own terms against the AERA reporting standards. Strengthens the design; it does not write code.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-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 (aerj-research-design) AERJ accepts many methodologies but is demanding about each. The design must credibly connect the framework (`aerj-theory-and-framework`) to evidence and meet the relevant **AERA reporting standards**. This skill is mode-aware: name the dominant education-research lens and defend it against the strongest alternative explanation. ## When to trigger - Specifying sampling, measurement, identification, case selection, or an integration plan - A reviewer questioned causal claims, generalizability, trustworthiness, or measurement validity - Preparing a **pre-analysis plan** / preregistration for a prospective design - Justifying how the design addresses the rival account from `aerj-literature-positioning` ## Quantitative (the field's common designs) - **Nesting is the default.** Students in classrooms in schools — use **multilevel/HLM** models; specify levels, random effects, and cluster-correct inference. Report the design effect / ICC. - **Measurement.** Tie constructs to validated instruments; report reliability and, where relevant, **IRT/factor** evidence. Validity is a design issue, not an afterthought. - **Causal claims** need a credible des
- When to trigger
- Quantitative (the field's common designs)
- Qualitative (judged on its own terms)
- Mixed methods
- The adjudication test (AERJ-specific)
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Design-credibility matrix (what each tradition must defend)
- Worked design vignette (illustrative)
- Referee pushback and the venue fix
- Output format
- Supplementary resources
What does the aerj-research-design skill do?
Use when defending the research design of an American Educational Research Journal (AERJ) manuscript — quantitative (multilevel, IRT, quasi-experimental, RCT), qualitative (case study, ethnography, interview), or mixed methods. AERJ judges each tradition on its own terms against the AERA reporting standards. Strengthens the design; it does not write code.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-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.