Meta Analysis
Meta-analysis explained — extracting and pooling effect sizes, fixed versus random effects, heterogeneity (I²), forest and funnel plots, publication bias, and the software that runs it all.
All Meta Analysis guides
Put it into practice
Free tools, templates and mentoring connected to meta analysis.
Frequently asked
Do I need a systematic review before a meta-analysis?+
Yes — a meta-analysis is the statistical stage built on a systematic search and screening. Without a reproducible protocol for finding and selecting studies, pooled estimates aren't credible.
Fixed effect or random effects — which model?+
Random effects is the default in most social-science meta-analyses because true effects plausibly vary across contexts and populations. Fixed effect assumes one true effect and suits narrow, homogeneous study sets.
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