Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-repo...
Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study
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Publisher
Cham: Springer International Publishing
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Language
English
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Publisher
Cham: Springer International Publishing
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Purpose
Mixture item response theory (MixIRT) models can be used to uncover heterogeneity in responses to items that comprise patient-reported outcome measures (PROMs). This is accomplished by identifying relatively homogenous latent subgroups in heterogeneous populations. Misspecification of the number of latent subgroups may affect model accur...
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Full title
Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study
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TN_cdi_proquest_miscellaneous_2678425502
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2678425502
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ISSN
0962-9343
E-ISSN
1573-2649
DOI
10.1007/s11136-022-03169-0
