Lakens and 87 other researches, including me, recently published a position paper on the p-level controversy. You can find the OSF-repo here: https://osf.io/by2kc/ Part of our argument is that instead of swallowing a specific alpha-threshold (e.g. 0.05 or 0.005) as gospel, every researcher is asked to justify her or his choices (ideally before data collection). What… Read more »
I work in a neuroscience lab. Yet, during most day hours (and some night hours), I sit in front of a computer and write code. I guess you could group this code in three domains: Study Preparation This can be workspace definitions, protocols and scripts to run experiments, or low-level code to interface measurement devices…. Read more »
Many researchers naively follow the concept that a p-value below a certain threshold (traditionally .05) is to be considered significant, and can therefore be considered as evidence that H1 is true, while a p-value above that level is considered not significant and therefore evidence that H0 is true. This Neyman-Pearson approach to statistical testing is… Read more »
Richard Royall starts his discussion about the interpretation of some data in regard to hypothesis A versus B as asking one of three questions: What does this observation tell me about A versus B? What do i believe, now that i have this observation? What should i do, now that i have this observation?1 He… Read more »
There is nothing that compares to watching middle-aged men talking nerdy to an invisible audience and scribbling math on a chalkboard! I collected a list of free lectures which i enjoyed. The collection has a focus on STEM, and includes math, probability, information theory and electronics. I will probably add lectures to the collection when… Read more »
