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jom-data-analysis
Use when running and reporting the statistical analysis for a Journal of Operations Management (JOM) empirical manuscript — measurement validity for survey constructs, identification and endogeneity for archival operations data, manipulation checks for behavioral-OM experiments, and robustness. Executes and reports the analysis; it does not design the study (jom-methods) or frame the contribution (jom-contribution-framing).
Journal-of-Operations-Management-Skills/skills/jom-data-analysis/SKILL.md
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# Data Analysis & Validity for Empirical OM (jom-data-analysis)
## When to trigger
- Operations data are collected and it is time to estimate and report
- You are unsure whether your estimator matches your design (survey constructs, archival panel, experiment, multilevel/nested plants)
- Reviewers (and the Empirical Research Methods Department) will probe measurement, common-method bias, or endogeneity
- A decision letter says "the analysis does not support the operational inference"
## Establish measurement before estimation (survey/behavioral)
For survey-based OM constructs, defend the measurement model first:
- **Reliability:** Cronbach's alpha and/or composite reliability for each multi-item operations scale.