jcp-data-analysis
Use when analyzing experimental data for a Journal of Consumer Psychology (JCP) manuscript — ANOVA/regression on the effect, measured and experimental mediation, moderation and moderated mediation, measurement of the process, and the rigor-era reporting standards. Analyzes the studies; it does not design them (jcp-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-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.
# Data Analysis (jcp-data-analysis) ## When to trigger - Your effect is significant but the **process evidence** does not yet hold up - You ran mediation but a reviewer calls it correlational or under-powered - A moderation is predicted but the interaction is messy or the simple effects are not probed - You need to report results to JCP's post-rigor-reform standards (effect sizes, CIs, exclusions) - The measure of your psychological process is noisy or its validity is in question ## Analyze the process, not just the p-value JCP's contribution is a mechanism, so the analysis must make the **process** visible and defensible. The headline test of the effect (typically ANOVA or regression with the manipulated IV) is necessary but not sufficient; the paper lives or dies on whether the **mediation/moderation** evidence supports the proposed psychological process and rules out rivals. Report estimates with **effect sizes and confidence intervals**, exact statistics, and full Ns before and after pre-specified exclusions. APA reporting style is the house norm. ## The analysis toolkit by link in the chain | Link | Standard analysis | What reviewers look for | |------|-------------------|----
- When to trigger
- Analyze the process, not just the p-value
- The analysis toolkit by link in the chain
- Measuring the psychological process
- Rigor-era reporting (post-2010s consumer-psych reforms)
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jcp-data-analysis skill do?
Use when analyzing experimental data for a Journal of Consumer Psychology (JCP) manuscript — ANOVA/regression on the effect, measured and experimental mediation, moderation and moderated mediation, measurement of the process, and the rigor-era reporting standards. Analyzes the studies; it does not design them (jcp-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-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.