datacolada.org
[73] Don't Trust Internal Meta-Analysis - Data Colada
Researchers have increasingly been using internal meta-analysis to summarize the evidence from multiple studies within the same paper. Much of the time, this involves computing the average effect size across the studies, and assessing whether that effect size is significantly different from zero. At first glance, internal meta-analysis seems like a wonderful idea. It increases...
Guest co-author: Joachim Vosgerau and Uri, Leif, & Joe