Individual skill
jm-data-analysis
Use when running and reporting the statistical analysis for a Journal of Marketing (JM) manuscript — the right estimator for a big-tent design, JM's exact p-value / standard-error / effect-size reporting mandate, identification and robustness, and the JM Dataverse replication packet. Executes and reports the analysis; it does not design the study (jm-methods) or frame the contribution (jm-contribution-framing).
Journal-of-Marketing-Skills/skills/jm-data-analysis/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 27, 2026
- License
- MIT
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# Data Analysis & Reporting (jm-data-analysis)
## When to trigger
- Data are collected and it is time to estimate and report
- You are unsure your estimator matches a big-tent design (experiment, panel, choice, qualitative)
- A reviewer will probe identification, robustness, or whether the effect is *managerially* meaningful
- You reached conditional acceptance and must assemble the JM Dataverse replication packet
## JM's hard reporting mandate (non-negotiable)
JM's submission rules bake in statistical transparency. Empirical papers **must report**:
- **Actual p-values** — not thresholds such as "p < .05" or stars-only tables.