This is a handy guide on experimental problems that cause effect-size under-estimation. Has practical tips to avoid these issues during design. Pitched at poli-sci, but should be useful to any behavioral scientist. Just needs a companion on effect-size over-estimation.
🚨One of my favorite things I've EVER written is conditionally accepted at JEPS!
Do you run survey experiments? Ever get null results? This article is for you! 7 things that can increase the risk of null/ns results & how to detect/prevent them 👇
drive.google.com/file/d/1wHDe...
