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Sparse data #110

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ISipi opened this issue Sep 30, 2021 · 2 comments
Closed

Sparse data #110

ISipi opened this issue Sep 30, 2021 · 2 comments

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@ISipi
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ISipi commented Sep 30, 2021

Hi,

Do you happen to know if using sparse data would work for IRT? In my case I have x subjects, n items, but each subject is shown only a random subset of the items, which means that most items won't be answered by more than 4-6 subjects (although this ranges from 0-17 for all items). Would using the missing data method solve this?

@eribean
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eribean commented Sep 30, 2021

Using the tag_missing_data function would be able to handle this type of data. The scenario you described is going to produce estimates with large uncertainties. A test length of roughly 5 and a small sample size, there isn't a lot of information available. I would recommend using twopl_mml_eap or ``'grm_mml_eap``` for estimation. Alternatively, look at girth_mcmc for bayesian methods.

@ISipi
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ISipi commented Sep 30, 2021

Thanks, I figured that IRT might be out of the question for my data. Fortunately this isn't related to my primary research question. Thanks again.

@ISipi ISipi closed this as completed Sep 30, 2021
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