jamovi

Hi Elvire,

The updated version(5.2.0) shown below is now available in jamovi library.

Best Regards
Seol

Hi Elvire, Thank you for your patience. I’d like to clarify that this behavior is expected and not caused by an issue with your data or with jamovi itself. The distractor analysis divides respondents into three score groups (lower, middle, upper), and when many participants receive the same total sc...

Hi Thanks for your report — this is not a bug in your data or in jamovi. The distractor analysis divides examinees into three score groups (high / middle / low). In some datasets, many respondents end up with exactly the same total score, which makes it impossible to form distinct groups. It’s expec...

Yes, that makes sense. Since you updated snowIRT and re-downloaded the module, the issue was most likely caused by the previous version still being used in the earlier analysis. After updating, the internal logic was refreshed, which is why the distractor analysis now works correctly. So it looks li...

Hi
I’ve recently updated this issue in the latest version((VERSION 5.1.9) of snowIRT.
Could you please install the most recent version and see if the problem persists?

Best Regards
Seol

Hi Yes, that is very likely the reason. The error "breaks are not unique" is a common R issue that occurs when the data have only a few distinct response categories (such as A, B, C). In these cases, jamovi internally relies on R functions that automatically compute break points for plotti...

Hi
Please attach the OMV file that caused the error as a ZIP file and post it in the Issues section on the following site.
https://github.com/hyunsooseol/snowCluster/issues

Best
Seol

Not yet. Todo list.

This error occurs because your selected variables contain missing or infinite values; please remove or clean these values and the Profile plot will work correctly.

You can create this type of composite boxplot in snowLatent → Profile plot. The Profile plot module allows you to place multiple continuous variables in a single figure, with – variables on the x-axis, – values on the y-axis, and – grouping shown by color. This produces exactly the combined boxplot ...