Publication details

Software to Sharpen Your Stats

Authors

LOVE Jonathon SELKER Ravi VERHAGEN Josine MARSMAN Maarten GRONAU Quentin F. JAMIL Tahira ŠMÍRA Martin EPSKAMP Sasha WILD Anneliese LY Alexander MATZKE Dora WAGENMAKERS Eric-Jan MOREY Richard D. ROUDER Jeffrey N.

Year of publication 2015
Type Article in Periodical
Magazine / Source APS Observer
MU Faculty or unit

Faculty of Social Studies

Citation
Web http://www.psychologicalscience.org/index.php/publications/observer/2015/march-15/bayes-or-bust-with-new-softwares.html
Field Psychology
Keywords JASP; SPSS; R; statistical software; Bayesian statistics
Description While there is a call for the use of novel statistical inference methods in the social sciences, the scientific community is slow in adapting to using such statistical methods. A possible reason for this is that state-of-the-art statistical methods are mostly implemented in the statistical programming language R whereas empirical social scientists more often rely on propitiatory statistical software such as SPSS. We introduce JASP, an graphical environment for statistical analyses that combines the strength of R, open-source and state-of-the-art statistical methods, with the flexibility and accessibility of proprietary statistical software. JASP provides a rich graphical user interface and implements a wide range of classical as well as Bayesian analyses. JASP is freely available for Windows, Mac OS X and Linux under an open source license from https://jasp-stats.org.

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