The use of loglinear models for assessing differential item functioning across manifest and latent examinee groups

Henk Kelderman, George B. Macready

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models. Further, an item may exhibit DIF with respect to a manifest grouping variable, a latent grouping variable, or both. Likelihood-ratio tests for assessing the presence of various types of DIF are described, and these methods are illustrated through the analysis of a "real world" data set.
Original languageUndefined
Pages (from-to)307-328
Number of pages21
JournalJournal of educational measurement
Volume27
Issue number4
DOIs
Publication statusPublished - 1990

Keywords

  • METIS-135288
  • IR-58475

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