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).
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - **
- When to trigger
- JCR is methodologically pluralistic by mandate
- Designing the multi-study experimental package
- Designing interpretive / CCT work
- Transparency is a design decision, not an afterthought
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
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.