Dif trees: Using classification trees to detect differential item functioning

Brandon K. Vaughn, Qiu Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A nonparametric tree classification procedure is used to detect differential item functioning for items that are dichotomously scored. Classification trees are shown to be an alternative procedure to detect differential item functioning other than the use of traditional Mantel-Haenszel and logistic regression analysis. A nonparametric classification rule is examined through simulation and real data, and Type I error and power are compared with equivalent Mantel-Haenszel, logistic regression, and discriminant analyses.

Original languageEnglish (US)
Pages (from-to)941-952
Number of pages12
JournalEducational and Psychological Measurement
Volume70
Issue number6
DOIs
StatePublished - Dec 2010
Externally publishedYes

Keywords

  • classification
  • classification tree
  • differential item functioning

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology
  • Applied Psychology
  • Applied Mathematics

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