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jm-data-analysis

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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).

When to use

• running and reporting statistical analysis for a JM manuscript
• selecting the right estimator for a big-tent design
• reporting p-values, standard errors, and effect sizes
• addressing identification and robustness
• assembling the JM Dataverse replication packet
• translating effects into managerial units
• executing analysis via StatsPAI or Stata MCP

When not to use

• designing the study
• framing the contribution

Skill page

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