tl;dr
Today is a huge day for jamovi! version 1.0 is now available! This represents the culmination of thousands of hours of work since our first release in 2017, and one of the most rewarding projects we’ve ever worked on. We’re also acutely conscious of the fact that we could never have made it this far without the belief, the help, bug reports, and feature requests of the broader jamovi community. We really feel quite humbled by the level of support we have received.
To celebrate this significant milestone, We’d like to thank some of the more prominent jamovi contributors – people who, often in the background, have made quite substantial contributions, and have helped make jamovi what it is today. As you’ll see, it’s quite a diverse list of contributors!
Marcello Gallucci (University of Milano-Bicocca, Italy)
Marcello is the developer of the GAMLj and jAMM modules. GAMLj is a module for general linear models, linear mixed effects models, and generalised linear models. In the past, LMEs and GZLMs have proven intimidating for many people to come to grips with. GAMLj changes that, and makes specifying these models a much simpler process; allowing people to think about what they’re doing, rather than how they’re doing it. Indeed, we’ve been encouraged to see LMEs even being taught in undergraduate programs!
jAMM is an alternative to the popular PROCESS macro for SPSS. jAMM brings complex mediation and moderation analyses to an accessible free and open platform. If you haven’t taken a look at jAMM, I’d encourage you to take a look.
Barton Poulson (datalab.cc)
No platform is complete without a comprehensive set of videos to walk new-comers and students through the process – so it’s been fabulous to have barton provide a comprehensive (4.5 hours!) set of videos under a creative commons license. We’ve heard much positive feedback from people using them in their courses.
David Foxcroft (Brookes, UK)
In the same vein, David Foxcroft (and Dani Navarro) have provided the learning statistics with jamovi textbook. This fabulous text provides a complete introduction to the sorts of statistics used in psychology and the social sciences. Once again, we’ve heard only positive things about it.
Kyle Hamilton (University of California, Merced, USA)
It is really satisfying to start a meta-analysis in jamovi, type the values for each of the studies into the spreadsheet, and watch as the results update as you go. For this, we have Kyle Hamilton to thank.
Seiji Shibata (Sagami Women’s University, Japan)
One of the challenges of international software is to translate it into different languages. Although we’re still embarrassed that jamovi isn’t available in non-english languages, there are some great foreign language resources available. One person who has worked tirelessly on producing these is Seiji Shibata; Translating the text learning statistics with jamovi into Japanese, and providing a number of additional jamovi japanese language resources.
Bob Muenchen (r4stats.com)
jamovi has really benefitted from a lot of great suggestions from a lot of people, but sometimes someone comes along who goes above and beyond, providing compelling suggestions and nuanced feedback. Bob muenchen is this man. It’s been great to be able to run design ideas by him, and draw upon his experience. More than a few of jamovi’s slick and sexy features have been inspired by Bob. Thanks Bob!
Romaric Hainez (Université de Picardie, France)
Romaric was probably the first person to trial jamovi across large classes of people, back in 2017. His early feedback was invaluable as we ironed out the sorts of issues that beset newly launched software products. It’s hard to overstate the value of early adopters to a fledgling project. Romaric continues to make insightful suggestions in our forums to this day.
And many more …
And of course there’s many more people, more than we could ever hope to thank. Community lies right at the core of our values. Scientific software should be shaped by a diverse community of people, from diverse backgrounds, with diverse philosophies, and so it’s exciting to see the breadth of people involved with jamovi.
But what about you? Have you thought about how you or your institution could contribute to the jamovi community, and it’s mission? Head on over to our Contribute page, and see if there’s something that you can do.
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