ERIC Number: EJ1070906
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: 18
Differential Item Functioning Analysis Using a Mixture 3-Parameter Logistic Model with a Covariate on the TIMSS 2007 Mathematics Test
Choi, Youn-Jeng; Alexeev, Natalia; Cohen, Allan S.
International Journal of Testing, v15 n3 p239-253 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 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.
Descriptors: 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
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Publication Type: Journal Articles; Reports - Research
Education Level: Grade 4; Intermediate Grades; Elementary Education
Authoring Institution: N/A
Identifiers - Location: Australia; Austria; El Salvador; Hong Kong; Qatar; Singapore; Slovakia
Identifiers - Assessments and Surveys: Trends in International Mathematics and Science Study