Inaccurate Individual Ability Estimates with Three-Parameter Item Response Models in Mixture Settings

Autor/inn/en	Raykov, Tenko; Marcoulides, George A.; Huber, Chuck
Titel	Inaccurate Individual Ability Estimates with Three-Parameter Item Response Models in Mixture Settings
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 18 (2020) 1, S.15-22 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2019.1641876
Schlagwörter	Item Response Theory; Models; Measurement Techniques; Item Analysis; Scores; Individual Differences; Behavioral Science Research; Educational Testing + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Messtechnik; Itemanalyse; Individueller Unterschied
Abstract	It is demonstrated that the popular three-parameter logistic model can lead to markedly inaccurate individual ability level estimates for mixture populations. A theoretically and empirically important setting is initially considered where (a) in one of two subpopulations (latent classes) the two-parameter logistic model holds for each item in a measuring instrument, while (b) this model as well as the three-parameter logistic model for an item with guessing are valid for the instrument in the second class. Fitting the respective hybrid models then to the overall data set, with the three-parameter logistic model assumed for that item, is found to lead to notably inaccurate individual trait score estimates in either class. The implications of the reported results for contemporary empirical educational and behavioral research are finally discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01