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Oliveri, María Elena; Ercikan, Kadriye; Zumbo, Bruno D.; Lawless, René – International Journal of Testing, 2014
In this study, we contrast results from two differential item functioning (DIF) approaches (manifest and latent class) by the number of items and sources of items identified as DIF using data from an international reading assessment. The latter approach yielded three latent classes, presenting evidence of heterogeneity in examinee response…
Descriptors: Test Bias, Comparative Analysis, Reading Tests, Effect Size
Choi, Youn-Jeng; Alexeev, Natalia; Cohen, Allan S. – International Journal of Testing, 2015
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…
Descriptors: Test Bias, Mathematics Achievement, Mathematics Tests, Item Response Theory
Oliveri, Maria Elena; Ercikan, Kadriye; Zumbo, Bruno – International Journal of Testing, 2013
In this study, we investigated differential item functioning (DIF) and its sources using a latent class (LC) modeling approach. Potential sources of LC DIF related to instruction and teacher-related variables were investigated using substantive and three statistical approaches: descriptive discriminant function, multinomial logistic regression,…
Descriptors: Test Bias, Test Items, Multivariate Analysis, Discriminant Analysis