The idea of the course is based on the recent debate concerning the crisis of reproducibility and replicability in scientific research. We will tackle these issues by presenting recent perspectives that aim to increase researchers’ sensitivity and critical thinking in the use of statistics in psychological science. Activities will include  both main  lectures and workshops for Ph.D. students, post-doctoral research fellows and early career scholars coming from different  countries. 

During lectures, participants will be provided with a set of theoretical and applied tools to conduct and critically evaluate methodologically and statistically rigorous research. In workshop activities, they will have the opportunity to discuss their ongoing research projects with both teachers and peers in order to overcome traditional boundaries between statistics and psychology as well as to stimulate innovative research hypotheses and international collaborations.

The themes of the Winter School will be organized around the following main topics:

• Critical aspects of Null Hypothesis Significance Testing (NHST)
• Open science and pre-registered studies
• Planning before conducting a study
• Bayesian approach to data analysis
• Perspectives on data mining and big data

Pdf of the program (please, note that the program could be slightly modified):