Scale Alignment in Between-Item Multidimensional Rasch Models

Autor/inn/en	Feuerstahler, Leah; Wilson, Mark
Titel	Scale Alignment in Between-Item Multidimensional Rasch Models
Quelle	In: Journal of Educational Measurement, 56 (2019) 2, S.280-301 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12209
Schlagwörter	Item Response Theory; Models; Scores; Comparative Analysis; Item Analysis; Simulation; Data Analysis; Evaluation Methods; Multidimensional Scaling + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Itemanalyse; Simulation program; Simulationsprogramm; Auswertung; Mehrdimensionale Analysis
Abstract	Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated item parameters so that dimensions are aligned. Both the DDA and LRA methods are applied to real and simulated data, and it is demonstrated that both methods are broadly effective for achieving aligned scales. The routine use of scale alignment methods is recommended prior to comparing scores across dimensions. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01