An Integrated Bayesian Model for DIF Analysis

Autor/inn/en	Soares, Tufi M.; Goncalves, Flavio B.; Gamerman, Dani
Titel	An Integrated Bayesian Model for DIF Analysis
Quelle	In: Journal of Educational and Behavioral Statistics, 34 (2009) 3, S.348-377 (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998609332752
Schlagwörter	Test Bias; Bayesian Statistics; Models; Item Response Theory; Statistical Analysis; Regression (Statistics); Computation; Mathematics Tests; Foreign Countries; Brazil + Suchen Sie Ihr Suchwort? Testkritik; Analogiemodell; Item-Response-Theorie; Statistische Analyse; Regression; Regressionsanalyse; Ausland; Brasilien
Abstract	In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is proposed. The model is integrated in the sense of modeling the responses along with the DIF analysis. This approach allows DIF detection and explanation in a simultaneous setup. Previous empirical studies and/or subjective beliefs about the item parameters, including differential functioning behavior, may be conveniently expressed in terms of prior distributions. Values of indicator variables are estimated in the model, indicating which items have DIF and which do not; as a result, the data analyst may not be required to specify an "anchor set" of items that do not exhibit DIF a priori to identify the model. It reduces the iterative procedures that are commonly used for proficiency purification and DIF detection and explanation. Examples demonstrate the efficiency of this method in simulated and real situations. (Contains 8 tables and 4 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10