Due to the CTMHN postgraduate conference there will be no meeting this week, but please come along next week to hear about the future of statistics (see preview below)!
When: Thursday 6th November, 12-1pm
Where: Keats Reading Room, Psychology Building
Title: JASP ̶ A free and open alternative to SPSS, a rich and user friendly alternative to R.
Authors: Jonathon Love(a), Ravi Selker(a), Josine Verhagen(a), Martin Smira(b), Anneliese Wild(c), Maarten Marsman(a), Quentin Gronau(a), Richard D. Morey(d), Jeff Rouder(e), Eric-Jan Wagenmakers(a)
a University of Amsterdam
b University of Brno
c University of Newcastle, Australia
d University of Groningen
e University of Missouri
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 Bayesian analyses, is free and open source, and provides a rich
user interface such that individuals without programming experience can use.
JASP is available from http://jasp-stats.org
JASP is funded by a grant from the European Research Council.
Jonathon Love is a Software Developer and Researcher at the University of Amsterdam. He
completed his studies with Andrew Heathcote at the University Newcastle, Australia, and has over
15 years experience in Software development. Jonathon's interests are promoting the use of
liberated (free and open source) software in science and developing software which bridges the gap
between methodologists and applied researchers. He is the lead developer of the JASP project.