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

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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Bibliographic Details
Main Authors:	Marjan Faghih, Zahra Bagheri, Dejan Stevanovic, Seyyed Mohhamad Taghi Ayatollahi, Peyman Jafari
Format:	Article
Language:	English
Published:	Hindawi Limited 2020-01-01
Series:	BioMed Research International
Online Access:	http://dx.doi.org/10.1155/2020/1632350

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