- JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS.It offers standard analysis procedures in both their classical and Bayesian form.
- How to Use JASP 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.
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.
The 0.6.6 version of JASP for Mac is available as a free download on our software library. The actual developer of this free software for Mac is JASP. The size of the latest downloadable setup file is 107.9.
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 | – | – |
Jasp Stats
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 Software Analysis
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 Manual
| 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 |