About the Course

This course provides a working introduction to JASP, a free and open-source statistical software program with an attractive graphical user interface (jasp-stats.org). With R as its computational core, JASP offers both standard and state-of-the-art analyses. At its current state of development, JASP is already a complete replacement for commercial, closed-source programs such as SPSS and Minitab, which extract vast sums of money from academia and industry on a yearly basis. We offer an in-depth tour of the functionality that JASP has to offer, both for teaching and for research. Practical exercises are conducted throughout the entire day.

Instructors' biographies:

Johnny van Doorn

Johnny van Doorn is an assistant professor at the University of Amsterdam, where he works on statistical software JASP and making (Bayesian) statistics more accessible by writing software, tutorials, and textbooks. In his spare time, Johnny likes to gather data to statistically prove that he is better at Mario kart and Terraforming mars than his friends.

Eric-Jan Wagenmakers

Eric-Jan (“EJ”) Wagenmakers is professor in Bayesian Methodology at the Psychological Methods Unit of the University of Amsterdam. His main research interest is Bayes factor hypothesis testing in the style of Sir Harold Jeffreys. Together with Dora Matzke, Wagenmakers authored the course book “Bayesian inference from the ground up: The theory of common sense”, which is freely available on BayesianSpectacles.org. Moreover, with 43 pages and 43 dinosaurs, Wagenmakers’s children’s book “Bayesian thinking for toddlers” is a must-have for any toddler with even a passing interest in Ockham’s razor and the prequential principle. Wagenmakers also guides the development of the open source statistical software program JASP, which aims to replace commercial software such as SPSS and Minitab.

For whom is this course intended?

Graduate and undergraduate students from any field who have a basic knowledge of statistics.