Using SAS PROC IRT for Multidimensional Item Response Theory Analysis

Autor/inn/en	Cole, Ki; Paek, Insu
Titel	Using SAS PROC IRT for Multidimensional Item Response Theory Analysis
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 20 (2022) 1, S.49-55 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2021.1976090
Schlagwörter	Item Response Theory; Computer Software; Item Analysis; Statistical Analysis; Data Analysis + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Itemanalyse; Statistische Analyse; Auswertung
Abstract	Statistical Analysis Software (SAS) is a widely used tool for data management analysis across a variety of fields. The procedure for item response theory (PROC IRT) is one to perform unidimensional and multidimensional item response theory (IRT) analysis for dichotomous and polytomous data. This review provides a summary of the features of PROC IRT specifically for multidimensional data with examples provided for simple structure data, complex structure data, and bifactor data. Instructive examples for dichotomous data (using the Rasch and 2-parameter logistic models) and polytomous data (using the graded response model) are given. Explanations of the syntax are also presented. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01