news

GAMLj and MAJOR: two brand new modules for jamovi

Two new modules are made available in the jamovi library. The first one, GAMLj, developed by Marcello Gallucci, is a general framework for general, mixed, and generalized linear models and allows you to run a large number of useful analyses. Make sure to check out the excellent documentation, which includes elaborate examples for a number of analyses such as multinomial logistic regression and moderated regression.

The second module, MAJOR, developed by Kyle Hamilton, allows you to do a meta-analysis in jamovi using different types of input (e.g., effect sizes, correlations coefficients). MAJOR and jamovi work really well together; new studies can easily be added in the spreadsheet and the results will automatically update, making it easy to always keep your meta-analyses up-to-date.

Both modules can be downloaded straight from the jamovi library and any comments or suggestions can be left on their respective github pages: https://github.com/mcfanda/gamlj for GAMLj, and https://github.com/kylehamilton/MAJOR for MAJOR. Also check out the other modules available in the jamovi library

> CHECK OUT WHICH MODULES ARE AVAILABLE IN THE JAMOVI LIBRARY

jamovi 0.8 adds computed variables

jamovi 0.8 is now available!

Want to calculate sum scores, log transformations, simulate data, and more? With the new computed variables this is now all possible in jamovi. Additionally you can now easily change factor labels in the variable view.

> DOWNLOAD JAMOVI 0.8

Introducing the jamovi blog

We are happy to introduce the jamovi blog. On this blog we will post about various topics, such as how you can use jamovi in your teaching, the development of jamovi modules, and the interplay between jamovi and R.

You can already check out our first blog post: jmv - one R package (not just) for the social sciences.

> GO TO BLOG

Presenting at useR Conference 2017

Jonathon Love, one of our core developers, gave a presentation about jamovi at the annual useR conference – the main meeting of the international R user and developer community. All talks were recorded and generously made available by Microsoft. Check out the talk for a quick introduction to jamovi and its core features.

> WATCH THE PRESENTATION

jamovi 0.7.3 adds five new analyses

jamovi 0.7.3 is now available!

We added five new analyses to jamovi and are getting closer and closer to being a solid SPSS replacement in undergraduate social science programs. The analyses we added are:

  • ANCOVA
  • MANCOVA
  • Linear Regression
  • Principal Component Analysis (PCA)
  • Exploratory Factor Analysis (EFA)

In case you missed it, in the previous release we added copy/paste functionality that allows you to copy data from a spreadsheet editor and paste it directly into jamovi.

> DOWNLOAD JAMOVI 0.7.3

Interview with jamovi core developer Jonathon Love

Interested in why we started jamovi, what our design philosophy is, and what our plans for the future are? JEPS just published an interview with Jonathon Love, one of the core developers of jamovi, that answers these questions and more. Did the interview still leave some of your questions unanswered? Ask away on our forum, twitter, or facebook!

> READ FULL INTERVIEW

TOSTER: a jamovi module by Daniël Lakens

Ever wanted to test whether an effect does not exist but couldn’t find an easy way to do it? Daniël Lakens has published a jamovi module that allows you to do just that. His module, named TOSTER, allows you to test equivalence for t-tests and correlations. TOSTER can be installed directly from the jamovi store.

Read all about TOSTER in Daniël’s blog post. Also, make sure to check out the rest of his blog for more interesting posts about statistics, methods, and open science.

> READ BLOG POST