JASP crashed

[Birkaeuf]

System Info

• JASP version: 0.95
• OS name and version: Windows 11 Version 24H2
• Commit used: jasp-stats/jasp-desktop@c4045c3

JASP Module

Mixed Models

Is there a specific analysis that caused the crash?

Bayesian generalized linear mixed models

Log files

No log files are available. To get more information, please turn logging on. For this: open the file menu (the blue hamburger button left top), navigate to Advanced Preferences and check the 'Log to file' checkbox.
Debug information: Engine # 0 process is running and it's state is analysis. Analysis is MixedModelsBGLMM with status running
Engine # 1 process does not exist (anymore) and it's state is resuming.

Steps to Reproduce

I try to analyse my data. And then the Warining apeared. On the other side there are other Warings that my data inculdes "$" but i checed everything an there was no "$" in my data. It also takes a lot of time to get results, the loading prozess takes forever is there somethig i can do?

[github-actions]

@Birkaeuf, thanks for taking the time to create this report. Please upload to the issue website (#3607, attaching to an email does not work) the log files from JASP. For more information read our Logging Guide page to learn where to (and how to) find JASP log files.

[tomtomme]

Can you share your data Here?

[Birkaeuf]

Yes, these are the data i imported in JASP. I dont know how to send you the jasp file... But i worked with the data in JASP (i labeled each Item)

umstrukturiretedata31 Juli.csv

[tomtomme]

you can rename the .jasp file to .zip to post it here

[tomtomme]

I also could not find any $ in the csv. The data however seems not to be correctly UTF8 encoded, so some Ü Ä etc. are not correctly imported - also in libreoffice, where I had to switch to west-europe encoding. How did you produce the CSV? Where did the original data came from? (not that important, but would be good to know if something like this comes up again)

In any case you could try and remove the Ä Ü etc. before imporiting or change the encoding beforehand.

Also most variables have between hundreds or even thousands of missin values which could make the model instable - or even tell us that something is wrong with the data / went wrong during data preprocessing.