Key Difference Between Fixed-Effect and Random-Effects Meta-Analysis
The main difference between a fixed-effect and a random-effects meta-analysis lies in their underlying assumptions about the nature of the effect size being investigated and the generalizability of the findings.
* Fixed-effect meta-analysis: assumes a single, common effect size (or "true effect") that all studies in the meta-analysis are