jcp-data-analysis — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited jcp-data-analysis (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
Run the battery, don't just enumerate it. Full map: execution-with-mcp. JCP is experimental consumer psychology; randomization inference, mediation done right (mediate, not naive controlling-away), and family-wise corrections matter most.
romano_wolf (step-down FWER) orbenjamini_hochberg — report the adjusted threshold.
oster_delta / sensemakr.wild_cluster_bootstrap (few clusters), twoway_cluster / conley;multilevel data → cluster at the right level.
audit_result(result_id) lists the missing checks and theexact suggest_function for each.
etable / did_summary_to_latex from the handle — no retyped numbers.Keep the decisive checks in the body and the exhaustive battery in the appendix. See the executed chain in the JF execution walkthrough.
【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~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.