How to perform a meta-analysis in R

This is a non-technical walkthrough of how to conduct a gold-standard correlational meta-analysis in R. This is a re-recording of a video that I posted a few years ago, but with better audio quality. I also include two new tools that weren't included in the original video: 1) Weight-function models to directly assess the risk of publication bias (because funnel plot asymmetry is not a direct test of publication bias) and 2) Power analysis for studies included in your meta-analysis. Links: The paper: https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01549/full The script and datasets: https://github.com/dsquintana/corr_meta A blog post including a more in-depth explanation of weight selection models: https://www.dsquintana.blog/how-to-perform-a-bayesian-meta-analysis-in-r/ A blog post on power analysis for meta-analysis using the 'metameta' R package: https://www.dsquintana.blog/metameta-r-package-meta-analysis/ The original video: https://youtu.be/d1pYHfCKhyA