jim-data-analysis
Use when estimating and reporting results for a Journal of International Marketing (JIM) manuscript — measurement-invariance testing (MGCFA/alignment), multilevel models with country-level predictors, multi-group SEM, and multi-country panels. It executes and reports; jim-methods designed the study.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jim-data-analysis --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.
# Cross-National Data Analysis (jim-data-analysis) ## When to trigger - Multi-country data are in and the invariance battery must be run before anything else - Country-level moderators need estimating (HLM, multi-group SEM, cross-level interactions) - Latent means or path coefficients are about to be compared across countries - A reviewer writes "the cross-national comparisons are not interpretable as reported" ## Invariance first — nothing compares until it passes Run the MGCFA ladder per construct, in order, and report every rung: | Step | Constraint added | Licenses you to… | |------|-----------------|-------------------| | Configural | same factor structure | claim the construct exists everywhere | | Metric | equal loadings | compare structural paths / correlations across countries | | Scalar | equal intercepts | compare latent means across countries | Decision rules: χ² difference plus practical criteria (ΔCFI ≤ .01; monitor ΔRMSEA). When full invariance fails: release the minimum number of parameters for **partial invariance** (at least two invariant items per construct, per the Steenkamp–Baumgartner protocol) and restate exactly which comparisons remain licensed. With many c
- When to trigger
- Invariance first — nothing compares until it passes
- Match the estimator to the cross-national structure
- Report so the cross-national claim is auditable
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jim-data-analysis skill do?
Use when estimating and reporting results for a Journal of International Marketing (JIM) manuscript — measurement-invariance testing (MGCFA/alignment), multilevel models with country-level predictors, multi-group SEM, and multi-country panels. It executes and reports; jim-methods designed the study.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jim-data-analysis --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.