Abstract
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages. © 2019, American Statistical Association. All rights reserved.
Highlights
The speed of scientific progress greatly benefits from the availability of free and open-source software
The JASP user interface is written in C++, analyses are implemented in the R programming language (R Core Team 2018), and the results panel is an instance of the WebKit (The WebKit Open Source Project 2015) browser with the resultant tables and plots rendered in HTML through JavaScript libraries built on top of Backbone.js (DocumentCloud 2015)
The adoption of JASP in preference to other proprietary statistical packages will enable peer review of the statistical algorithms, enable scientists to build on existing work, and reduce costs
Summary
The speed of scientific progress greatly benefits from the availability of free and open-source software. R is the program of choice for statisticians and methodologists, its command line interface and steep learning curve are sometimes believed to be a barrier to its broader adoption This concern is most pressing for students and applied researchers, that is, for people who use statistics only occasionally, and for basic problems (Valero-Mora and Ledesma 2012). A select list includes PSPP (The GNU Foundation 2015), SOFA (PatonSimpson & Associates 2015), RKWard (Rödiger et al 2012), Deducer (Fellows 2012), and R Commander (Fox 2005) Continuing in this tradition, we have developed JASP: a graphical, open-source statistical platform for performing common statistical tasks, designed to be simple and intuitive to use, and available for Windows, Mac OS X and Linux.
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