Zero-inflated graded response model

[Nicolas Pardo]

Hi there, 

I am trying to run a zero-inflated graded response model. Which I am currently running as a standard GRM and getting the empirical Bayes predicted values. 

I would say I am trying to do what is in this paper (ZIM-GRM): A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement

https://pmc.ncbi.nlm.nih.gov/articles/PMC7221458/

The context is very similar, 39 items, a couple thousand respondents. The zeros are actually straight-lined responses of 1. 

At the time, this was not possible in R. Has that changed. It seems like yes from https://cran.r-project.org/web/packages/mirt/mirt.pdf

I am having trouble with it. And I would also like they EB predicted values (or MAP) just something I can run a linear regression on. 

[Phil Chalmers]

Hi Nicolas,

I'm not sure what your question is. Yes, this is now possible in mirt, and you can find an example of it in the ?mirt documentation. The predicted values are possible to obtain using the fscores() function. HTH for now.

Phil

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