DOAJ Open Access 2024

Evaluation of covariate effects in item response theory models

Gustaf J. Wellhagen Ashraf Yassen Dirk Garmann Astrid Bröker Alexander Solms +3 lainnya

Abstrak

Abstract Item response theory (IRT) models are usually the best way to analyze composite or rating scale data. Standard methods to evaluate covariate or treatment effects in IRT models do not allow to identify item‐specific effects. Finding subgroups of patients who respond differently to certain items could be very important when designing inclusion or exclusion criteria for clinical trials, and aid in understanding different treatment responses in varying disease manifestations. We present a new method to investigate item‐specific effects in IRT models, which is based on inspection of residuals. The method was investigated in a simulation exercise with a model for the Epworth Sleepiness Scale. We also provide a detailed discussion as a guidance on how to build a robust covariate IRT model.

Topik & Kata Kunci

Therapeutics. Pharmacology

Penulis (8)

Gustaf J. Wellhagen

Ashraf Yassen

Dirk Garmann

Astrid Bröker

Alexander Solms

Yang Zhang

Maria C. Kjellsson

Mats O. Karlsson

Format Sitasi

APA MLA BibTeX

Wellhagen, G.J., Yassen, A., Garmann, D., Bröker, A., Solms, A., Zhang, Y. et al. (2024). Evaluation of covariate effects in item response theory models. https://doi.org/10.1002/psp4.13120

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1002/psp4.13120
Akses: Open Access ✓