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Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing
- 1.0459265 - ÚI 2017 CZ eng V - Research Report
Drabinová, Adéla - Martinková, Patrícia
Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing.
Prague: ICS CAS, 2016. 26 s. Technical Report, V-1229.
R&D Projects: GA ČR GJ15-15856Y
Institutional support: RVO:67985807
Keywords : differential item functioning * non-linear regression * logistic regression * item response theory
Subject RIV: BB - Applied Statistics, Operational Research
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.
Permanent Link: http://hdl.handle.net/11104/0259498
File Download Size Commentary Version Access v1229-16-version2.pdf 89 589.3 KB September 2016 Other open-access v1229-16.pdf 59 420.1 KB May 2016 Other open-access
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