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jmgmt-data-analysis

Use when estimation and results are the bottleneck for a Journal of Management (JOM) manuscript — SEM/CFA, HLM/multilevel, regression and interactions, mediation/moderation, and meta-analytic estimation with artifact corrections. Runs and validates the analysis; it does not design the study (jmgmt-methods) or frame the contribution (jmgmt-contribution-framing).

Journal-of-Management-Skills/skills/jmgmt-data-analysis/SKILL.md

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# Data Analysis (jmgmt-data-analysis)

## When to trigger

- The model is fit but a reviewer questions the measurement model or fit indices
- Mediation/moderation is tested in a way a JOM methods reviewer would challenge
- Nested data are being analyzed without modeling the nesting
- A meta-analysis needs the right estimator, corrections, and heterogeneity diagnostics
- Results are reported with significance asterisks and no effect sizes

## The JOM analysis bar

JOM houses some of the field's leading **research-methods** scholars and runs methods reviews, so analysis is read by an unusually demanding audience. The expectation is a **transparent measurement model before the structural model**, **effect sizes and confidence intervals** alongside tests (not p-stars alone), and analysis choices that match the level and design set in `jmgmt-methods`. Report enough that the analysis is reconstructable from the paper and the (anonymized) data transparency table.
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