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Conveniently analyze data, present and publish valid results in an intuitive manner with the help of this open source and highly efficient utility

Created by a team of dedicated academics from the University of Amsterdam, JASP is a complex and robust piece of software that has been designed from the ground up to help you analyze massive amounts of data and present the results in an intuitive manner.

Here are some of the app's key points

Probably the first thing you should know about this application is the fact that it's capable of performing most types of both Frequentist and Bayesian analysis, with support for ANOVA, ANCOVA, Binomial Test, Contingency Tables, Correlation: Person, Spearman, Kendal, Linear Regression, Log-Linear Regression, and T-Test, as well as many others.

The fact that the app is capable of integrating with The Open Science Framework is also something that might be worth knowing. This means that not only can you access data directly from the OSF, but you can also publish the results there as well.

Unexpectedly accessible GUI

Even though it's capable of performing a varied array of complex tasks, this is by no means a complicated app, quite the opposite. All the primary analysis groups are readily available from the app's top toolbar.

Of course, the app bundles a few advanced analysis modules such as SEM, as well. With the help of this module, you can perform structural equation modeling. With the app's summary stats feature, you can reanalyze and analyze published findings without needing the original data.

A few words on other useful features

One of the app's other highlights stems from the fact that it dynamically updates all of the results in real-time. In short, all the changes are instantly reflected in the output panel. In addition, the utility allows you to write articles and reports, which you can easily export to other, more powerful word processors if you need to.

Furthermore, JASP makes it easy for you to annotate analysis, create various useful records, in order to give properly interpret your results. Last but not least, you're also able to save projects as ONG or EPS to accompany your article submission.

Analyze data, reach relevant conclusions, and publish results with the least amount of effort

All things considered, JASP is a very interesting application that is sure to prove its worth for anyone looking for a powerful tool capable of analyzing vast amounts of data and either presenting or publishing them. The best thing about JASP is its perfect blend of powerful features and user-accessibility.

Filed under

• New Features and improvements:
• Engine improvements
• The new analyses depend on many R package and we’re grateful to the package developers, the newly added/updated packages can be found belowAll R packages used in JASP can be found here
• New modules and analyses:

JASP 0.14.1

runs on:

Windows 10 32/64 bit
Windows 8 32/64 bit
Windows 7 32/64 bit
Windows Vista 32/64 bit

file size:

318 MB

filename:

JASP-0.10.2-x64.zip

main category:

Science / CAD

developer:

visit homepage

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