Effect sizes don't matter for experiments. Or do they?
Some accounting researchers argue that effect sizes do not matter in experiments. In this post, I explain why effect sizes do matter and why they can be particularly valuable for experiments in the field of accounting.
September 17, 2020
When and how to cluster standard errors in experimental data?
Choosing whether and on which level to cluster standard errors in experimental data turns out to be less straightforward that I originally thought. However, some practical advice for experimental researchers is emerging.
July 18, 2020
Deception when generating random numbers
Many experiments generate random numbers for participants. Yet, the code used to generate those numbers sometimes does not do what we think it does, which could lead to deception when reporting about the number generation process to participants.
February 24, 2020
Sliders with feedback and without anchoring
Sliders are a great way to elicit input from participants. In this post, I share a few lines of code helping you program sliders with real-time feedback and without anchoring.
February 19, 2020