IES researchers published an article in Nature Communications

In the social sciences, meta-analyses often rely on observational data, while most meta-analytic methods were originally developed for medical experiments. A team led by Zuzana Havrankova (co-authors Tomas Havranek from Charles University, Pedro Bom from the University of Deusto, and Heiko Rachinger from Universitat de les Illes Balears) introduces MAIVE, a method better suited to observational research. MAIVE uses sample size as a firmer anchor for precision and delivers more stable conclusions across studies. The paper is openly accessible in Nature Communications. The method can be tried instantly via the EasyMeta.org web application, with no installation or coding required.