Just being curious... JASP vs jamovi

[Bobafett]

Both platforms are good at what they do, but in my mind I view JASP as more suited for people who are either more experienced in stats and wish to make use of the litany of options per analysis, or else are very keen on the Bayesian outputs. Personally I prefer the understated elegance and interface of jamovi - it is certainly easier for teaching students who are new to statistics that you do not wish to bombard with analysis options right away.

[reason180]

Jamovi's programmers were the initial develpers of JASP, until they decided to create the jamovi project. In my opinion, jamovi has continued to be very intuitive regarding the basic interface, while JASP has become somewhat less intuitive. That's one reason to prefer jamovi for teaching introductory stats.

Another argument in favor of jamovi is the facility for re-coding data. The Computed Variable interface is clear and intuitive. Moreover, the Rj+ module enables the use of actual, contextualized code, as a way of introducing students to R. JASP, in contrast has a "drag-and-drop" variable re-coding interface that I find highly non-intuitive, despite being drag-and-drop. While JASP offers the option to re-code using R, the user has to use R snippets rather than complete R statements, and only some R functions are whitelisted so as to be usable within JASP.

Despite the above, JASP is now far superior with regard to creating and editing data-plots. JASP also permits students to organize their output before handing it in whereas jamovi currently does not allow re-ordering of the output analyses.

So which to choose? Currently, for me, the answer is "JasMovi"--that is, use both.

[mcfanda@gmail.com]

Simple effects are available in GAMLj3 module for general, generalized, mixed and generalized mixed models.