Buchanan Missouri State University Fall 2018 This video covers our JASP guides on how to install JASP - especially if you are a Mac use. Available for Mac OS X, version 10.8 (Mountain Lion) and above (Which version do I have? Currently JASP depends on XQuartz. This should be installed before commencing installation. JASP can be installed by downloading and double clicking the.dmg file, and dragging the JASP icon to the Applications folder.
- Here's how to download, install, and open files in JASP. I illustrate on a Windows 10 computer, but I give some guidance as to how to install on a Mac as wel.
- Download and install the best free stats program.
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
JASP was reviewed by Vladimir Ciobica- 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
add to watchlistsend us an update- 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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Welcome to the JASP Tutorial section. Below you can find all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files.
Click on the JASP-logo to go to a blog post, on the play-button to go to the video on Youtube, or the GIF-button to go to the animated GIF-file. We’re working hard to complete this list of tutorials. To request a tutorial for a specific analysis procedure, please send an email to info@jasp-stats.org and we will prioritize accordingly.
NB. 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).
Frequentist Analyses
| Blog Post | Video | GIF | |
| ANCOVA | – | ||
| ANOVA | – | ||
| Binomial Test | – | – | – |
| Confirmatory Factor Analysis | – | – | |
| Contingency Tables | – | – | |
| Correlation | – | ||
| Descriptive Statistics | – | ||
| Exploratory Factor Analysis | – | – | |
| Generalized Linear Mixed Models | – | – | – |
| Hierarchical Regression | |||
| Independent Samples T-Test | |||
| Linear Mixed Models | – | – | |
| Linear Regression | – | ||
| Logistic Regression | – | ||
| Log-Linear Regression | – | – | – |
| MANOVA | – | – | |
| Mediation Analysis | – | – | |
| Multinomial Test and Chi-Square Test | |||
| Nonparametric tests | – | – | |
| One Sample T-Test | |||
| Paired Samples T-Test | – | – | |
| Principal Component Analysis | – | – | – |
| Repeated Measures ANOVA | – | ||
| Selection Models | – | – | |
| Structural Equation Modeling | – | – |
Bayesian Analyses
| Blog Post | Video | GIF | |
| A/B Test | – | – | – |
| ANCOVA | – | – | – |
| ANOVA | – | – | |
| Binomial Test | – | – | |
| Contingency Tables | – | – | – |
| Correlation | – | ||
| Generalized Linear Mixed Models | – | – | – |
| Independent Samples T-Test | – | – | – |
| Linear Mixed Models | – | – | – |
| Linear Regression | – | – | |
| Log-Linear Regression | – | – | – |
| Multinomial Test | – | – | |
| One Sample T-Test | – | – | – |
| Paired Samples T-Test | – | – | |
| Repeated Measures ANOVA | – | – | – |
| Robust Bayesian Meta-Analysis | – | – |
Modules
| Blog Post | Video | GIF | |
| Audit | – | ||
| Bain | – | – | – |
| Distributions | – | ||
| Equivalence T-Tests (Beta) | – | – | – |
| JAGS | – | ||
| Learn Bayes | – | – | |
| Machine Learning | – | ||
| Meta-Analysis | |||
| Network | |||
| R (Beta) | – | – | |
| Reliability | – | ||
| Structural Equation Modeling (SEM) | – | – | – |
| Summary Stats | – | ||
| Visual Modeling (Beta) | – |
Functions
| Blog Post | Video | GIF |
| Compute Columns | – | |
| Data & Label Editing | ||
| Exact P-Values | – | |
| Filtering | – | |
| OSF support | – | |
| Test Interval-Null Hypotheses | – | – |
| VS-MPR | – |
Tips & Tricks
Jasp Machine Learning
Below you can find a list of small features as well as tips and tricks in JASP, explained with a simple animated GIF or video. Click on the icon to get to the file.
Jasp Fur Machine
Jasp Mac Review
| How to… |
| Add a new module |
| Add confidence intervals for effect sizes |
| Arrange analyses in desired order |
| Change a variable type |
| Change the default language |
| Cite and reference in APA Style |
| Copy tables directly into your word processor |
| Copy tables in LaTeX format |
| Export results to HTML |
| Load a data set from the JASP Data Library |
| Make your plots have a transparent / white background |
| Resize the data view |
| Save plots as images |
| Save plots as PowerPoint file (.pptx) |
| Search for variables by typing the variable name |
| Select dark theme |
| Tell JASP which values in your dataset are NA values |
| View a help file |
| Write annotations in the output |