JASP - A Fresh Way to Do Statistics
Extracto
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.
Contenido
Free
JASP is an open-source project supported by the University of Amsterdam.
Friendly
JASP has an intuitive interface that was designed with the user in mind.
Flexible
JASP offers standard analysis procedures in both their classical and Bayesian form.
Main Features
YOUR CHOICE
- Frequentist analyses
- Bayesian analyses
User-friendly Interface
- Dynamic update of all results
- Spreadsheet layout and an intuitive drag-and-drop interface
- Progressive disclosure for increased understanding
- Annotated output for communicating your results
Developed for publishing analyses
- Integrated with The Open Science Framework (OSF)
- Support for APA format (copy graphs and tables directly into Word)
Mission Statement
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 free cross-platform software program with a state-of-the-art graphical user interface.
Your First Steps Using JASP
Getting Started
The introductory video on the left should give you a good idea of how JASP works. You can consult our Getting Started Guide for more information.
How to Use JASP
Take a look at our How to Use JASP page for in-depth explanations of the different features in JASP.
Staying Updated: The JASP Newsletter
Subscribe to the JASP newsletter to receive regular updates about JASP including our latest blog posts, JASP articles, example analyses, new features, interviews with team members, and more! You can unsubscribe at any time.
Want to join our annual workshops?
Click here for more information!
Sponsors
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Advisory Board
- Prof. James O. Berger, Duke University
- Prof. Jon Forster, University of Southampton
- Prof. Merlise A. Clyde, Duke University
- Prof. Ioannis Ntzoufras, Athens University
of Economics and Business - Prof. Jeffrey N. Rouder, University of California, Irvine
- Prof. Zoltan Dienes, University of Sussex
- Prof. Andy Field, University of Sussex
- Prof. Han L. J. van der Maas, University of Amsterdam
- Prof. Erin Buchanan, Missouri State University
- Prof. Casper Albers, University of Groningen
- Dr. Henrik Singmann, University College London
- Dr. Felix Schönbrodt, LMU Munich
For more details on the advisory board, click here.
Fuente: JASP - Free and User-Friendly Statistical Software