Software to Sharpen Your Stats

• Autoři: 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.
• Rok publikování: 2015
• Druh: Článek v odborném periodiku
• Časopis / Zdroj: APS Observer
• Fakulta / Pracoviště MU: Fakulta sociálních studií
• www: http://www.psychologicalscience.org/index.php/publications/observer/2015/march-15/bayes-or-bust-with-new-softwares.html
• Obor: Psychologie
• Klíčová slova: JASP; SPSS; R; statistical software; Bayesian statistics
• Popis: 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.