Continuing today with my favorite fact about Chapter 4 in my textbook. This is a difficult one, as the chapter is a brief overview on Bayesian statistics 😈, but to be a bit cheeky: My favorite fact is that a recent paper shows a distressingly high misuse of Bayesian statistics in psychology papers, suggesting that there is quite some work to be done in educating people.
I found this lecture about academic writing helpful. Like most academics (I think), I sometimes advise my students to SELL their study. But when I say things like this, I kinda feel like a used-car salesman.
This guy gives the same advice, but he does so in a much more elegant and compelling way:
For people interested in #bigteamscience, I highly recommend a paper led by Patrick Forscher: https://journals.sagepub.com/doi/abs/10.1177/17456916221082970
Ungated version here: https://psyarxiv.com/2mdxh/
Hey, here's my introduction!
I am a psychologist who studies motivation.
Here are some studies I am especially stoked about:
- Our big new meta-analysis suggests that mental effort is inherently aversive. (https://psyarxiv.com/m8zf6/)
- Physiological effort and experienced effort are correlated, but mostly so because both respond to task difficulty (https://doi.org/10.1016/j.concog.2018.05.013)
- We studied fatigue, boredom and objectively measured smartphone use at work (https://doi.org/10.1098/rsos.201915)
(1/2)
Assistant Professor of Experimental Psychopathology at Radboud University
Senior Researcher at Donders Institute
Interested in motivation and neuro-computational models of psychopathology
MED Lab - Motivation, Effort & Decision-Making