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Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing

SYSNO ASEP	0459265
Document Type	V - Research Report
R&D Document Type	The record was not marked in the RIV
Title	Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing
Author(s)	Drabinová, Adéla (UIVT-O)_{SAI, ORCID, RID} Martinková, Patrícia (UIVT-O)_{SAI, RID, ORCID}
Issue data	Prague: ICS CAS, 2016
Series	Technical Report
Series number	V-1229
Number of pages	26 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	differential item functioning ; non-linear regression ; logistic regression ; item response theory
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	GJ15-15856Y GA ČR - Czech Science Foundation (CSF)
Institutional support	UIVT-O - RVO:67985807
Annotation	In this article, we present a new method for estimation of Item Response Function and for detection of uniform and non-uniform Differential Item Functioning (DIF) in dichotomous items based on Non-Linear Regression (NLR). Proposed method extends Logistic Regression (LR) procedure by including pseudoguessing parameter. NLR technique is compared to LR procedure and Lord’s and Raju’s statistics for three-parameter Item Response Theory (IRT) models in simulation study based on Graduate Management Admission Test. NLR shows superiority in power at low rejection rate over IRT methods and outperforms LR procedure in power for case of uniform DIF detection. Our research suggests that the newly proposed non-IRT procedure is an attractive and user friendly approach to DIF detection.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2017

Number of the records: 1