Spurious Latent Classes in the Mixture Rasch Model

Autor/inn/en	Alexeev, Natalia; Templin, Jonathan; Cohen, Allan S.
Titel	Spurious Latent Classes in the Mixture Rasch Model
Quelle	In: Journal of Educational Measurement, 48 (2011) 3, S.313-332 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2011.00146.x
Schlagwörter	Item Response Theory; Models; Psychometrics; Tests + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Psychometry; Psychometrie; Examination; Prüfung; Examen
Abstract	Mixture Rasch models have been used to study a number of psychometric issues such as goodness of fit, response strategy differences, strategy shifts, and multidimensionality. Although these models offer the potential for improving understanding of the latent variables being measured, under some conditions overextraction of latent classes may occur, potentially leading to misinterpretation of results. In this study, a mixture Rasch model was applied to data from a statewide test that was initially calibrated to conform to a 3-parameter logistic (3PL) model. Results suggested how latent classes could be explained and also suggested that these latent classes might be due to applying a mixture Rasch model to 3PL data. To support this latter conjecture, a simulation study was presented to demonstrate how data generated to fit a one-class 2-parameter logistic (2PL) model required more than one class when fit with a mixture Rasch model. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10