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jmr-data-analysis

Use when running and reporting the analysis for a Journal of Marketing Research (JMR) manuscript — selecting the estimator that matches the design, and meeting JMR's hard journal-level reporting mandate of exact p-values, standard errors, and effect sizes, plus replication-ready disclosure. Executes and reports; jmr-methods designs the study and jmr-contribution-framing states the payoff.

Journal-of-Marketing-Research-Skills/skills/jmr-data-analysis/SKILL.md

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# Data Analysis & Reporting (jmr-data-analysis)

## When to trigger

- Data are collected (experimental or observational) and it is time to estimate and report
- You are unsure whether your estimator matches your design
- You must conform to JMR's exact-statistics reporting rules
- A reviewer says "the analysis does not support the inference" or "report effect sizes"

## JMR's hard reporting mandate (journal-level)

JMR enforces statistics reporting more explicitly than generic top journals. Empirical papers must report:

- **Actual p-values to three digits** — *not* thresholds (no "p < .05"), *not* asterisks.
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