From jcp-skills
Analyzes experimental data for JCP manuscripts: ANOVA/regression, mediation, moderation, and moderated mediation with rigor-era reporting standards.
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/jcp-skills:jcp-data-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Your effect is significant but the **process evidence** does not yet hold up
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.
| Link | Standard analysis | What reviewers look for |
|---|---|---|
| Existence of effect | t-test / ANOVA / OLS with the manipulated IV | clean cells, effect size (d, η²), CI, no covariate fishing |
| Measured mediation | bootstrapped indirect effect (e.g., PROCESS / lavaan), bias-corrected CI | indirect effect with CI excluding 0; honesty that this is correlational evidence on the mediator |
| Experimental mediation | causal-chain design or manipulated-mediator analysis | the manipulation of M moves Y as the theory predicts |
| Moderation | regression interaction; ANOVA factorial | interaction term + probed simple effects (spotlight/floodlight), not just a significant interaction |
| Moderated mediation | conditional indirect effects (index of moderated mediation) | the index, with CI, and conditional indirect effects by moderator level |
Prefer experimental/causal-chain mediation and moderation-of-process over measured-mediator-only inference: JCP reviewers now treat a bootstrapped indirect effect on a self-reported mediator as suggestive, not dispositive, because it cannot establish the causal direction of M → Y.
【Effect】test, stat, effect size, CI, cell Ns
【Mediation】measured / experimental; indirect effect + CI; correlational caveat if measured-only
【Moderation】interaction + probed simple effects (spotlight/floodlight)
【Moderated mediation】index + conditional indirect effects (if applicable)
【Process measure】reliability + rival mediators ruled out
【Rigor disclosures】exclusions, all conditions/measures, preregistration deviations
【Next skill】jcp-contribution-framing
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin jcp-skillsAnalyzes and reports evidence for Journal of Consumer Research manuscripts, including mediation/moderation bootstrapping, simple slopes, spotlight/floodlight analysis, and transparency reporting.
Guides analysis and reporting for Journal of Applied Psychology manuscripts, covering SEM, multilevel models, mediation/moderation, and meta-analysis with proper effect sizes and confidence intervals.
Designs and stress-tests experiments for JCP manuscripts: manipulations, confounds, checks, power, multi-study chains, and pre-registration.