Individual skill
psychbull-meta-analysis-methods
Use when computing effect sizes and fitting the meta-analytic model for a Psychological Bulletin manuscript — effect-size metrics, random-effects vs. fixed-effect choice, dependent effect sizes (RVE / multilevel), and heterogeneity (Q, I², τ², prediction interval). Guides the core synthesis; moderators and bias diagnostics live in psychbull-moderators-and-bias.
Psychological-Bulletin-Skills/skills/psychbull-meta-analysis-methods/SKILL.md
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# Meta-Analysis Methods (psychbull-meta-analysis-methods)
This is the quantitative core of a Psychological Bulletin meta-analysis: turning coded study
statistics into **effect sizes**, pooling them under a defensible **model**, and characterizing
**heterogeneity** honestly. Psychological Bulletin expects **MARS**-compliant methods. This skill
covers estimation; moderators and publication-bias diagnostics live in `psychbull-moderators-and-bias`.
## When to trigger
- Computing effect sizes from coded statistics
- Choosing fixed-effect vs. random-effects (vs. multilevel) models
- Handling **multiple effect sizes per study** (dependency)
- Quantifying and interpreting **heterogeneity**
