My research focuses on judgment and decision making in general, with a special interest in consumer financial decision-making, numerical cognition, and probabilistic reasoning. I also care about open-science, replicability, and reproducibility.
On this website, I share a summary of my current projects and publications, tools and software that I have programmed, and occasional thoughts and tutorials on various research-related topics.
PhD in Marketing, 2018
MSc in Managerial and Financial Economics, 2012
HEC Paris, France
Bachelor in History of Arts, 2009
Sorbonne University, France
If power analysis cannot be based on the expected effect size, what should it be based on?
Why power analysis, as traditionally performed, isn’t a good tool for choosing sample size.
Can p-values be close to .05 because researchers ran careful power analysis, and collected ‘just enough’ participants to detect their effect? In this blog post, I evaluate the merits of this argument.
A short blog post showing the immense benefits of pre-registration on false-positive rates, even when the pre-registration is underspecified.
What can we learn from effect sizes, and under which conditions?