Agent skill · Data & Analytics

jibs-methods

Use when designing the empirical study for a Journal of International Business Studies (JIBS) manuscript — matching a cross-country and/or multilevel design to the question, planning for measurement equivalence, common-method variance, and endogeneity before data collection. Designs the study; it does not run the estimation (jibs-data-analysis) or build the mechanism (jibs-theory-development).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jibs-methods --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Journal-of-International-Business-Studies-Skills/skills/jibs-methods/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Cross-Country & Multilevel Research Design (jibs-methods) ## When to trigger - You are choosing a design for a cross-border or multi-country question - Your data are nested (individuals in firms in countries) and you need the right structure - You anticipate reviewers probing measurement equivalence, CMV, or endogeneity - A reviewer says "the design cannot support a cross-country inference" ## JIBS is method-pluralistic; rigor is the gatekeeper JIBS is **paradigmatically and methodologically pluralistic** by policy — quantitative, qualitative, mixed, and pure-theory work are all in scope. There is **no single mandated method**. But its practical center of gravity is **theory-driven, hypothesis-testing empirical work on cross-country or multilevel data**, held to demanding standards. Pick the design that fits the phenomenon, then engineer in the three rigor demands JIBS reviewers apply most insistently. ## Match the design to the claim | Phenomenon / claim | Design | |------------------------------------------------------|---------------------------------------------------------------| | Country/culture shapes a firm or individual outcome | Multilevel (firm/individual nested in co

What's inside
Steps it walks through
  1. When to trigger
  2. JIBS is method-pluralistic; rigor is the gatekeeper
  3. Match the design to the claim
  4. Build in JIBS's three rigor demands at the design stage
  5. Consult the methods-editorial canon
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Output format
  8. Anti-patterns
More from Awesome-Journal-Skills
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About this skill
What does the jibs-methods skill do?

Use when designing the empirical study for a Journal of International Business Studies (JIBS) manuscript — matching a cross-country and/or multilevel design to the question, planning for measurement equivalence, common-method variance, and endogeneity before data collection. Designs the study; it does not run the estimation (jibs-data-analysis) or build the mechanism (jibs-theory-development).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jibs-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.

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