Posts tagged: acronyms
My textbook now includes an updated figure from Carter & McCullough, 2014. It's now generated from the raw data. It's a striking image. The uncorrected effect size is d = 0.62 based on 198 studies. Now, large replications later, we know the true effect size is 0. What a waste. pic.twitter.com/7DvHhFuyjK
— Daniël Lakens (@lakens) June 12, 2023
contributed by Andy on Jun 12, 2023 in hard to parse, acronyms, replication