caa a22 4500 606242368 CHVBK 20210128101318.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11336-013-9388-3 doi (NATIONALLICENCE)springer-10.1007/s11336-013-9388-3 Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model [Elektronische Daten] [Carolin Strobl, Julia Kopf, Achim Zeileis] 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. Asoftware implementation of the method is freely available in the R system for statistical computing. The Psychometric Society, 2013 item response theory nationallicence IRT nationallicence Rasch model nationallicence differential item functioning nationallicence DIF nationallicence measurement invariance nationallicence structural change nationallicence model-based recursive partitioning nationallicence Strobl Carolin Department of Psychology, Universität Zürich, Binzmühlestr. 14, 8050, Zürich, Switzerland aut Kopf Julia Department of Statistics, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539, München, Germany aut Zeileis Achim Department of Statistics, Universität Innsbruck, Universitätsstr. 15, 6020, Innsbruck, Austria aut Psychometrika Springer US; http://www.springer-ny.com 80/2(2015-06-01), 289-316 0033-3123 80:2<289 2015 80 11336 https://doi.org/10.1007/s11336-013-9388-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-013-9388-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Strobl Carolin Department of Psychology, Universität Zürich, Binzmühlestr. 14, 8050, Zürich, Switzerland aut NATIONALLICENCE 700 1- Kopf Julia Department of Statistics, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539, München, Germany aut NATIONALLICENCE 700 1- Zeileis Achim Department of Statistics, Universität Innsbruck, Universitätsstr. 15, 6020, Innsbruck, Austria aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/2(2015-06-01), 289-316 0033-3123 80:2<289 2015 80 11336