A Comparative Study of the Bias Correction Methods for Differential Item Functioning Analysis in Logistic Regression with Rare Events Data

The logistic regression (LR) model for assessing differential item functioning (DIF) is highly dependent on the asymptotic sampling distributions. However, for rare events data, the maximum likelihood estimation method may be biased and the asymptotic distributions may not be reliable. In this study...

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Detalles Bibliográficos
Autores principales: Faghih, Marjan, Bagheri, Zahra, Stevanovic, Dejan, Ayatollahi, Seyyed Mohhamad Taghi, Jafari, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060847/
https://www.ncbi.nlm.nih.gov/pubmed/32185193
http://dx.doi.org/10.1155/2020/1632350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060847/
https://www.ncbi.nlm.nih.gov/pubmed/32185193
http://dx.doi.org/10.1155/2020/1632350

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