Mixture Rasch model analysis with free software Jamovi

[@frankzinatra3777]

It seems there is no more Wright map option under Mixture Rasch model analysis in Jamovi..

[@learn5081]

Thank you so much for the video. Is the mixture Rasch analysis also possible in Jamovi for test data with raters (e.g., Mixture Rasch in Many-facet Rasch model)? If not, do you know what software should be used?

[@AyanAli-vm9hl]

love you sir...sir please make a video on response surface methodology..

[@hoonjinkim28]

I really appreciate your detailed explanation. I have a quick question. Even though I use the same data and enter the same conditions (e.g., class number and step), the information criteria values are substantially changed whenever I try to execute the model. Do you have any solution to that?

[@VahidAryadoust]

You should fix the seed value.

[@hoonjinkim28]

@@VahidAryadoust Thank you so much! :)

[@MrCycologist]

JMLE is a 'nono' (biased) estimator. Rasch Mixture models should be estimated with MML or CML.

[@hannahbrossler9694]

Thank you so much! One question: if I only have one tested population, I should stick to class 1, right?

[@VahidAryadoust]

You should still compare models with different number of classes.

[@alagyegeoffrey3693]

Hello good day. I have downloaded the jamovi software but it is not working despite following the procedures involved. What should I do?

[@chokriimed8419]

Are statistical analyzes made by Jamovie accepted in scientific journals? Because I find same differences between SPSS and Jamovie outputs (eg. Omega MC'd = 0.66 (jamovie) / spss = 0.89 )

[@VahidAryadoust]

Omega MC'd is estimated in different ways in SPSS and Jamovi. Please watch my videos on SEM in Jamovi.

[@peteradu5103]

Please can I have issues with publication if I use a particular software like jasp or Jamovi ?

[@VahidAryadoust]

I do not think you will have any issues. Check the list of publication using the software on their websites.

[@tecolee9392]

The analysis results of MRM conducted by Winmira is different from the results given by Jamovi, why？

[@VahidAryadoust]

In principle, the technique is the same. But their outputs might be different, due to the use of different estimators.

[@tecolee9392]

​@@VahidAryadoust Thanks, prof.

[@MrCycologist]

Very simple: Jamvi uses an R package that utilizes a biased estimator for the Mixed Rasch Model: Joint Maximum Likelihood does not provide accurate estimates

[@soehartosoeharto8471]

Is it possible using winstep to run Mixture Rasch?

[@VahidAryadoust]

No, Winsteps does not handle MRM.

[@soehartosoeharto8471]

@@VahidAryadoust thanks prof

[@MrCycologist]

No, Also Winsteps uses JMLE, which is a biased estimator. Use WINMIRA for Mixed Rasch Model. Or Latent Gold for other mixtures, or Mplus for Mixture Factor Models, or use Conquest for Rasch Models. JMLE-based software should not be used if alternatives are available.

[@soehartosoeharto8471]

@@MrCycologist thank you

[@b93menezes]

class is the same as dimensions?

[@VahidAryadoust]

No, they are different.

[@MrCycologist]

NO