Differential Item Functioning Analysis Using a Mixture 3-Parameter Logistic Model with a Covariate on the TIMSS 2007 Mathematics Test

Autor/inn/en	Choi, Youn-Jeng; Alexeev, Natalia; Cohen, Allan S.
Titel	Differential Item Functioning Analysis Using a Mixture 3-Parameter Logistic Model with a Covariate on the TIMSS 2007 Mathematics Test
Quelle	In: International Journal of Testing, 15 (2015) 3, S.239-253 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1530-5058
DOI	10.1080/15305058.2015.1007241
Schlagwörter	Test Bias; Mathematics Achievement; Mathematics Tests; Item Response Theory; Multivariate Analysis; Regression (Statistics); Grade 4; Elementary School Students; Foreign Countries; Markov Processes; Monte Carlo Methods; Comparative Analysis; Australia; Austria; El Salvador; Hong Kong; Qatar; Singapore; Slovakia; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Testkritik; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Item-Response-Theorie; Multivariate Analyse; Regression; Regressionsanalyse; School year 04; 4. Schuljahr; Schuljahr 04; Ausland; Markowscher Prozess; Monte-Carlo-Methode; Australien; Österreich; Hongkong; Katar; Singapur; Slowakei
Abstract	The purpose of this study was to explore what may be contributing to differences in performance in mathematics on the Trends in International Mathematics and Science Study 2007. This was done by using a mixture item response theory modeling approach to first detect latent classes in the data and then to examine differences in performance on items taken by examinees in the different latent classes. An exploratory mixture 3-Parameter Logistic model analysis detected two latent groups in the data. The model considered in this study used internet access as a covariate to illustrate the effect of the covariate on latent class membership. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01