Jasp Mac Download
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.
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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.
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.
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).
- For these older OS’s, it is possible to download JASP 0.9.2. JASP is installed by downloading and double clicking the.dmg file, and dragging the JASP icon to the Applications folder. This places JASP in your applications folder.
- Download Previous Versions of JASP. JASP 0.13 (Windows) JASP 0.13 (Windows 32 Bit). JASP 0.9.2 (Mac OS X 10.11 EL Capitan version or below) 0.9.1. JASP 0.9.1 (Windows) JASP 0.9.1 (Windows 64 Bit Pre-Installed). For feature requests, for help installing JASP.
- Jasp Paint Shop Pro free download - Saint Paint Studio, Corel PaintShop Pro, The Print Shop Deluxe, and many more programs.
- Download news user guide jamovi library jmv r package community resources testimonials about contribute free and open statistical software to bridge the gap between researcher and statistician.
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 | – |
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Tips & Tricks
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.
| 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 |
Updated 11/9/2020
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Meet the free SPSS clones
I have taught statistics using JASP, Jamovi, and PSPP. Each has advantages and disadvantages, and there is nothing stopping you from using all three depending on what you are trying to do. Ironically, each one has a much faster user interface than SPSS—and all import and export SPSS .sav and syntax files.
JASP is a fork of (it was originally based on) Jamovi; both are still under active development, which have fairly similar user interfaces, and both saved a good deal of time and trouble by not reinventing the wheel—they are essentially user interfaces for another statistics program, the hard-to-learn-and-use R.
| JASP | Jamovi | PSPP | |
| Regression | Stepwise, forward, backward | Enter (supports multi-step) | Enter (one step) |
| Missing values | Program-wide only | By variable | By variable |
| Statistics engine | R | R | PSPP |
| Signed | Yes | Yes! | No |
| M1 native | Build from source | Build from source | Build from source |
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The programs have spreadsheet-like data editors, but it's best to prepare information for them somewhere else; they let you computer variables, but in a clunky and hard to use way. Importing variable labels and missing values from SPSS files sometimes fails (I've only seen the missing values problem on Windows), a major drawback to programs that will read SPSS files otherwise. Download program pabx panasonic kx-tda100.
| JASP and Jamovi | PSPP | |
|---|---|---|
| t-tests | Shared variance only | Shared and unique variance |
| Cost | Free | Free |
| Output | Copies as tables | Copies as plain text |
| More modules? | Yes | No |
| Windows | One triple-pane window | Three windows |
| Syntax | No | Yes, SPSS |
| Contextual help | Yes, nicely integrated | No |
| Can log commands to a file | Yes (can’t easily replay) | In theory/not working |
| Mac open/save/print boxes | No | No |
| Can use as SPV file viewer | Yes |
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JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as desired.
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There’s a third SPSS clone, one which keeps most of the user interface from a relatively ancient version of SPSS: PSPP. At the moment there are some nasty bugs, but overall it might be easier for many people to use than JASP and Jamovi. It's easier to master if you're used to SPSS, but development has been very slow and JASP and Jamovi may be better options for that reason—unless you do a lot of computes and recodes and other data manipulation, or do a lot of t-tests. Then PSPP is the best choice.