jamovi

I would like to add my two cents: Jamovi seems to run extremely fast via emulation but the GAMLJ module is broken. It says that the module is missing but it is clearly installed. Only the mixed model is affected, the other options within the GAMLJ module seem to work fine.

Please disregard my previous email! One only needs to use "dummy" in Factors coding for the variables in the interaction of interest. For all other factors, one needs to use "simple" in Factors coding. All is working well. Thank you for your suggestion! This is wise also because ...

This is wise also because when you have so many df (in your case 370001), the z-test and the t-tests are perfectly the same, so there's no need to wait for a half-hour for a result that is known to be equivalent. Indeed, I forced the calculation of the t-test in your dataset and I got the t-tests e...

Thank you so much for the fast turn around !

It makes sense, as the older dataset was 80 something participants and the new one has 200.

I will give your Factor coding suggestion a try!

Thank you for looking into this! I am attaching two datasets. Both have the same paradigm and both are analyzed with linear mixed models (GAMLj) but were collected at different times (and likely analyzed with different jamovi versions). The old dataset has simple effects and posthoc tests for a two-...

Hello! I am using GAMLJ and the latest jamovi version (1.6.16) for Windows to run linear mixed models. I have noticed that the t scores have been replaced by z scores in both the Simple Effects and the Posthoc tests outputs. Was there a reason for this? Strangely, the z scores only pop up for three-...

That is correct. I downloaded the latest version 1.6.16 and it works.

Thank you everyone for your hard work!

Hello ! Running a Binomial Logistic Regression gives me results that should not be possible. I am trying to determine whether qualifying for Round 1, Round 2, National Finals and International Finals (factor Round) in a Science Olympiad determines whether respondents recommend participating in the O...

Wonderful, thank you!

Thank you very much! Our lab very much looks forward to a solution. I have now tried it with our latest study design and the bug doesn’t allow for 5-way interactions of categorical variables, either. Before, I though it might be because we had some continuous variables into the mix but now all 5 var...