A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement

It is often unrealistic to assume normally distributed latent traits in the measurement of health outcomes. If normality is violated, the item response theory (IRT) models that are used to calibrate questionnaires may yield parameter estimates that are biased. Recently, IRT models were developed for...

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Detalles Bibliográficos
Autores principales: Smits, Niels, Öğreden, Oğuzhan, Garnier-Villarreal, Mauricio, Terwee, Caroline B, Chalmers, R Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221458/
https://www.ncbi.nlm.nih.gov/pubmed/32156195
http://dx.doi.org/10.1177/0962280220907625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221458/
https://www.ncbi.nlm.nih.gov/pubmed/32156195
http://dx.doi.org/10.1177/0962280220907625

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