jams-methods
Use when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design, secondary-data identification, experiments, or meta-analysis. Designs the study and stress-tests validity; jams-data-analysis executes and reports the estimates.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-methods --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, Measurement & Identification (jams-methods) ## When to trigger - The design may not actually support the theoretical claim - Constructs are measured but scale validity (reliability, convergent, discriminant) is unestablished - A causal claim rests on a cross-sectional survey or OLS-with-controls - Reviewers will probe common method variance, endogeneity, manipulation validity, or coding reliability ## Match design to claim by genre JAMS publishes several empirical genres; the validity question is genre-specific. Pick the genre, then clear its bar. ### Survey + SEM/PLS (strategy, B2B, services, branding) - **Construct validity is the gate.** Report reliability (composite reliability / Cronbach's α), **convergent validity** (AVE ≥ .50, loadings), and **discriminant validity** (Fornell–Larcker and/or the **HTMT** ratio — JAMS reviewers increasingly expect HTMT). - **Common method variance (CMV):** design against it (temporal/source separation, marker variable) and test for it (Harman is weak — prefer a marker-variable or CFA-marker approach). CMV is a top reason survey papers stall at JAMS. - **Measurement before structure:** establish the measurement model (CFA) be
- When to trigger
- Match design to claim by genre
- Survey + SEM/PLS (strategy, B2B, services, branding)
- Secondary-data econometrics (scanner, CRM, marketing–finance)
- Behavioral experiment
- Meta-analysis
- Construct validity is JAMS's most-policed area
- Tie the design back to the claim and the manager
- Sample, power, and data provenance
- Pre-registration and replicability
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jams-methods skill do?
Use when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design, secondary-data identification, experiments, or meta-analysis. Designs the study and stress-tests validity; jams-data-analysis executes and reports the estimates.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-methods --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.