Agent skill · Data & Analytics

jcr-methods

Use when choosing or stress-testing the research design for a Journal of Consumer Research (JCR) manuscript — multi-study behavioral experiments, interpretive Consumer Culture Theory (CCT) fieldwork, mixed designs, or a Registered Report — so the evidence matches the conceptual claim. Designs the studies; it does not analyze them (jcr-data-analysis).

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claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcr-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-Consumer-Research-Skills/skills/jcr-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

# Methods & Design (jcr-methods) ## When to trigger - You have a mechanism but are unsure how to test it - Deciding between a behavioral-experiments paper and a CCT fieldwork paper - A reviewer asks whether your design can actually support the process claim - You are weighing a Registered Report for a confirmatory question ## JCR is methodologically pluralistic by mandate JCR states **no single preferred method**; the bar is a clear conceptual contribution supported by *appropriate* empirical evidence. In practice two flagship traditions coexist under one masthead, and you should commit to one design logic (or a principled mix): - **Theory-driven behavioral experimentation** (the dominant tradition): multiple lab and online experiments that isolate a **psychological process** and its boundary conditions. - **Interpretive / Consumer Culture Theory (CCT)**: ethnography, depth interviews, phenomenology, or netnography that theorizes the sociocultural meanings of consumption. The journal also publishes quantitative/modeling and methodological work. Choose the design the **conceptual claim** demands, not the one you find convenient. ## Designing the multi-study experimental package - **

What's inside
Steps it walks through
  1. When to trigger
  2. JCR is methodologically pluralistic by mandate
  3. Designing the multi-study experimental package
  4. Designing interpretive / CCT work
  5. Transparency is a design decision, not an afterthought
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Checklist
  8. Anti-patterns
  9. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jcr-methods skill do?

Use when choosing or stress-testing the research design for a Journal of Consumer Research (JCR) manuscript — multi-study behavioral experiments, interpretive Consumer Culture Theory (CCT) fieldwork, mixed designs, or a Registered Report — so the evidence matches the conceptual claim. Designs the studies; it does not analyze them (jcr-data-analysis).

How do I install it?

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

Keep going