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jedpsych-data-analysis
Use when analyzing and reporting results for a Journal of Educational Psychology manuscript. JEP expects analyses that respect nesting (multilevel/SEM/growth models), report educationally meaningful effect sizes with confidence intervals, test mechanisms (mediation/moderation), and follow JARS with full disclosure. Guides analysis norms; it does not fabricate results.
Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis/SKILL.md
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# Data Analysis (jedpsych-data-analysis)
The Journal of Educational Psychology holds analyses to the standards of a rigorous psychological research
journal *operating in nested educational settings*. The recurring requirements are: **model the nesting**
(students in classes in schools), report **effect sizes with confidence intervals** that are
**educationally interpretable**, test the **mechanism** (mediation/moderation), and disclose fully under
**JARS**. Analysis scripts and data are expected to be shareable and reproducible.
## When to trigger
- Running and reporting the main and supporting analyses
- A reviewer asked for multilevel modeling, effect sizes, mechanism tests, or disclosure
- Reconciling preregistered analyses with exploratory follow-ups
- Preparing analysis scripts and a codebook for deposit