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JASP : Graphical Statistical Software for Common Statistical Designs

2019; Foundation for Open Access Statistics; Volume: 88; Issue: 2 Linguagem: Inglês

10.18637/jss.v088.i02

1548-7660

Jonathon Love, Ravi Selker, Maarten Marsman, Tahira Jamil, Damian Dropmann, Josine Verhagen, Alexander Ly, Quentin F. Gronau, Martin Šmíra, Sacha Epskamp, Dóra Matzke, Anneliese Wild, Patrick Knight, Jeffrey N. Rouder, Richard D. Morey, Eric–Jan Wagenmakers,

Statistical Methods in Clinical Trials

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