Title: JASP, a low fat alternative to SPSS, a delicious alternative to R

Author: Jonathon Love, Ravi Selker, Josine Verhagen, Maarten Marsman,
Quentin Gronau, Martin Smira, Anneliese Wild, Alexander Ly, Dora Matzke,
Richard D. Morey, Jeff Rouder, Eric-Jan Wagenmaker

Affiliation: University of Amsterdam

Abstract: The two dominant software platforms for performing statistical
analyses in psychology are SPSS and the R programming language.  SPSS is
expensive, closed source, and does not implement the newest analyses (such
as recent developments in bayesian statistics).  In contrast, the R
programming environment is open source and implements the newest analyses,
however it requires users to write software in a programming language, and
is a challenging platform for people without programming experience to use.

This talk introduces JASP, an alternative to both SPSS and R which
combines the best of both worlds. JASP implements the latest analyses,
is released under an open source license and provides a rich user
interface such that individuals without programming experience can use.

https://jasp-stats.org