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

Reporting norms JAP expects