jim-methods
Use when designing a multi-country or cross-cultural study for a Journal of International Marketing (JIM) manuscript — country selection, sampling and translation equivalence, measurement-invariance planning, cross-cultural experiments, and export/entry-mode secondary data. It designs; jim-data-analysis estimates and reports.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jim-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.
# Multi-Country Research Design (jim-methods) ## When to trigger - Countries, samples, or data sources are being chosen for a JIM-bound study - Scales developed in one language are about to be fielded in others - A cross-cultural experiment or an export panel is on the table - A reviewer asks why *these* countries, or whether samples are comparable ## Country selection is a theoretical act Countries are your levels of the theoretical variable — pick them the way an experimentalist picks conditions: - **Theory-driven contrast.** Choose countries that sit far apart on the focal dimension (e.g., high vs. low uncertainty avoidance; strong vs. weak contract enforcement) while as similar as possible on rivals. Two well-chosen countries beat six convenient ones. - **Confound audit.** For every focal dimension, list the country characteristics that co-vary with it (income, language family, region, market maturity) and state how the design or the models separate them. - **Many-country designs (10+).** Move from contrast logic to variable logic: measure the country dimension continuously, plan multilevel estimation, and check that the country sample spans the dimension's range rather than cl
- When to trigger
- Country selection is a theoretical act
- Equivalence before comparison — the JIM discipline
- Design lanes
- Multi-country survey (the JIM staple)
- Cross-cultural experiment
- Export / entry-mode secondary data
- Meta-analysis of cross-national effects
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jim-methods skill do?
Use when designing a multi-country or cross-cultural study for a Journal of International Marketing (JIM) manuscript — country selection, sampling and translation equivalence, measurement-invariance planning, cross-cultural experiments, and export/entry-mode secondary data. It designs; jim-data-analysis estimates and reports.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jim-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.