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

Youn Jeng Choi, Natalia Alexeev, Allan S. Cohen

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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.

Original languageEnglish
Pages (from-to)239-253
Number of pages15
JournalInternational Journal of Testing
Volume15
Issue number3
DOIs
StatePublished - 3 Jul 2015

Bibliographical note

Publisher Copyright:
© 2015, Copyright © Taylor & Francis Group, LLC.

Keywords

  • differential item functioning
  • mixture IRT model
  • TIMSS 2007

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