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Autor*innen: Boubekki, Ahcène; Brefeld, Ulf; Delacroix, Thomas
Titel: Generalising IRT to discriminate between examinees
Aus: Santos, O. C.; Boticario, J. G.; Romero, C.; Pechenizkiy, M.; Merceron, A.; Mitros, P.;Luna, J. M.; Mihaescu, C.; Moreno, P.; Hershkovitz, A. ;Ventura, S.; Desmarais, M. (Hrsg.): Proceedings of the 8th International Conference on Educational Data Mining (EMD 2015) 26-29 June Madrid, Spain, Madrid: International Educational Data Mining Society, 2015 , S. 604-606
URL: http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf
Dokumenttyp: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: Item-Response-Theory; Leistungstest; PISA <Programme for International Student Assessment>; Rasch-Modell; Testauswertung; Testkonstruktion
Abstract: We present a generalisation of the IRT framework that allows to discriminate between examinees. Our model therefore introduces examinee parameters that can be optimised with Expectation Maximisation-like algorithms. We provide empirical results on PISA data showing that our approach leads to a more appropriate grouping of PISA countries than by test scores and socio-economic indicators. (DIPF/Orig.)
DIPF-Abteilung: Informationszentrum Bildung