
Introducing the p-hacker app: Train your expert p-hacking skills
Democratizing p-hacking: Leveling the playing field by teaching p-hacking to students and early career researchers. Continue Reading …
Prof. Dr. Felix Schönbrodt
Democratizing p-hacking: Leveling the playing field by teaching p-hacking to students and early career researchers. Continue Reading …
If the p-value is < .05, then the probability of falsely rejecting the null hypothesis is <5%, right? That means, a maximum of 5% of all significant results is a false-positive (that’s what we control with the α rate). Well, Continue Reading …
A Bayes factor (BF) is a statistical index that quantifies the evidence for a hypothesis, compared to an alternative hypothesis (for introductions to Bayes factors, see here, here or here). Although the BF is a continuous measure of evidence, humans Continue Reading …
The probably most frequent criticism of Bayesian statistics sounds something like “It’s all subjective – with the ‘right’ prior, you can get any result you want.”. In order to approach this criticism it has been suggested to do a sensitivity Continue Reading …