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JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
JASP is compatible with most 64bit operating systems and processors from AMD, Intel and ARM. 32bit only operating systems and processors are not supported. In more detail: Microsoft: Windows 10 version 2004 or higher are supported.
Features. See the list below for all the modules and its analyses currently available in JASP. To find out how to perform certain analyses or how to use certain features, visit the How to Use JASP section. If you think that JASP is missing an important analysis, you can issue a feature request.
Take a look at our How to Use JASP page for in-depth explanations of the different features in JASP. Below you can find the JASP Tutorial section with all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files.
For feature requests, for help installing JASP, or for bug reports: please post your issue on our GitHub page so the JASP team can assist you efficiently (for details see this blog post). Our Goals. Features. Team. Scientific Advisory Board.
Our main goal is to help statistical practitioners reach maximally informative conclusions with a minimum of fuss. This is why we have developed JASP, a cross-platform software program with a state-of-the-art graphical user interface.
JASP 0.19 contains the following new features and improvements: JASP has expanded and reorganised its Descriptives module, adding the submodules Raincloud Plots, Times Series Descriptives, and Flexplot. The functionality to produce raincloud plots has been greatly enhanced, and this will be….
Statistical Analysis in JASP. A Guide for Students by Mark Goss-Sampson (PDF) is a 172-page long, in-depth guide on how to perform various forms of frequentist analyses in JASP. (data sets). Teachers are free to use the guides and share it with their students.
Getting Started. Before you do anything else, we strongly recommend that you visit the JASP YouTube channel and the ‘How to Use JASP’ page, where you can find introductory blog posts and videos. Below is some general information about JASP that may be helpful as you analyze your first data set.
In order to confirm that the results from JASP are reliable and accurate, we use a series of robust testing procedures, including automated unit tests, manual verification, and comparisons with recognized benchmarks. Our top priority is to deliver results you can trust.