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joap-data-analysis
Use when analyzing and reporting results for a Journal of Applied Psychology (JAP) manuscript using SEM, multilevel (HLM) models, mediation/moderation, or meta-analysis. JAP requires effect sizes with confidence intervals, model-based indirect effects with bootstrap CIs, fit indices, full disclosure, and a clean confirmatory/exploratory split. Guides analysis norms; it does not fabricate results.
Journal-of-Applied-Psychology-Skills/skills/joap-data-analysis/SKILL.md
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# Data Analysis (joap-data-analysis)
JAP analyses must be **model-appropriate, fully reported, and reproducible**. The house toolkit is
**SEM/CFA**, **multilevel (HLM) models**, **mediation and moderation** with proper inference, and
**meta-analysis**. The journal expects **effect sizes with confidence intervals**, **fit indices**,
**bootstrap CIs for indirect effects**, full disclosure of how data were handled, and a clean
**confirmatory vs. exploratory** separation, with data and code shareable under TOP.
## When to trigger
- Specifying and reporting the main and supporting analyses
- A reviewer asked for fit indices, indirect-effect CIs, robustness, or disclosure
- Reconciling preregistered analyses with exploratory follow-ups
- Preparing analysis scripts and a data/codebook for deposit