Rasch trees: A new method for detecting differential item functioning in the Rasch model.

Autor/inn/en	Strobl, Carolin; Kopf, Julia; Zeileis, Achim
Titel	Rasch trees: A new method for detecting differential item functioning in the Rasch model.
Quelle	In: Psychometrika, 80 (2015) 2, S. 289-316 PDF als Volltext Link als defekt meldenVerfügbarkeit
Beigaben	Literaturangaben
Zusatzinformation	Forschungsdaten, Studiendetails und Erhebungsinstrumente
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	0033-3123; 0090-7502; 1860-0980
DOI	10.1007/S11336-013-9388-3
Schlagwörter	Rasch-Modell; Bildungsforschung; Itemanalyse; Testtheorie; Statistische Methode
Abstract	A variety of statistical methods have been suggested for detecting differential item functioning (DIF) in the Rasch model. Most of these methods are designed for the comparison of pre-specified focal and reference groups, such as males and females. Latent class approaches, on the other hand, allow the detection of previously unknown groups exhibiting DIF. However, this approach provides no straightforward interpretation of the groups with respect to person characteristics. Here, we propose a new method for DIF detection based on model-based recursive partitioning that can be considered as a compromise between those two extremes. With this approach it is possible to detect groups of subjects exhibiting DIF, which are not pre-specified, but result from combinations of observed covariates. These groups are directly interpretable and can thus help generate hypotheses about the psychological sources of DIF. The statistical background and construction of the new method are introduced by means of an instructive example, and extensive simulation studies are presented to support and illustrate the statistical properties of the method, which is then applied to empirical data from a general knowledge quiz. A software implementation of the method is freely available in the R system for statistical computing. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2015/4