jamovi

Due to structural changes, jamovi version 2.6.* supports GAMLj3 up to version 3.6.1. Newer versions of GAMLj3 are available for jamovi 2.7.*. So please update jamovi to 2.7. If that is not an option, please remove GAMLj3 3..6.1 from your jamovi 2.6 and install version 3.6.1.

Due to structural changes, jamovi version 2.6.* supports GAMLj3 up to version 3.6.1. Newer versions of GAMLj3 are available for jamovi 2.7.*. We update the 2.6 library to offer GAMLj3 3.6.1. Thus, please remove GAMLj3 3..6.1 from your installation and install version 3.6.1

In any case, if you update to jamovi 2.7 it should be ok

Are you using GAMLj3 3.6.5 on jamovi 2.6.44? On 2.6.44 GAMLj3 3.6.1 should work fine

Hi
please be sure you're working with GAMLj3. Second, trying naming your cluster variable "Dyad_ID" and see whether the issue is solved.

What was the correspondence between lavaan and SEMLj?

HC3 is appropriated when you have issues with etheroschedasticity. Normality violation is better addressed with bootstrap methods. In general, what to do with assumptions violation really depends on which assumption is violated and how much the data depart from the assumption

that's usually a sign that the model did not converge or there are issues with convergence. Can you share a omv file to see the model?

I do not have access to Mplus (it's not open source). Did you try to check the results with R lavaan?

Hi
why can you not replicate the UI of SEMLj? Do you want to have something different? If you want to use the same approach of SEMLj, you can simply use the code (javascript and yaml) you find in the module. Start from there and change it as you wish