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

0459265 - ÚI 2017 CZ eng V - Výzkumná zpráva
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.
Grant CEP: GA ČR GJ15-15856Y
Institucionální podpora: RVO:67985807
Klíčová slova: differential item functioning * non-linear regression * logistic regression * item response theory
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum

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.
Trvalý link: http://hdl.handle.net/11104/0259498