TY - RPRT TI - Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing AU - Drabinová, Adéla AB - 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. UR - http://hdl.handle.net/11104/0259498 UR - http://www.nusl.cz/ntk/nusl-265092 A2 - Martinková, Patrícia LA - eng KW - non-linear regression KW - differential item functioning KW - logistic regression KW - item response theory UR - http://invenio.nusl.cz/record/265092/files/v1229-16.pdf UR - http://invenio.nusl.cz/record/265092/files/v1229-16-version2.pdf UR - http://invenio.nusl.cz/record/265092/files/content.csg.pdf PY - 2016 PB - Ústav informatiky, Pod vodárenskou věží 2, 182 07 Praha 8, http://www.cs.cas.cz/ ER -