Procedures for the analysis of differential item functioning (DIF) for small sample sizes

Jin Shei Lai*, Jeanne Teresi, Richard Gershon

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

48 Scopus citations

Abstract

An item with differential item functioning (DIF) displays different statistical properties, conditional on a matching variable. The presence of DIF in measures can invalidate the conclusions of medical outcome studies. Numerous approaches have been developed to examine DIF in many areas, including education and health-related quality of life. There is little consensus in the research community regarding selection of one best method, and most methods require large sample sizes. This article describes some approaches to examine DIF with small samples (e.g., less than 200).

Original languageEnglish (US)
Pages (from-to)283-294
Number of pages12
JournalEvaluation and the Health Professions
Volume28
Issue number3
DOIs
StatePublished - Sep 2005

Keywords

  • DIF
  • Differential item functioning
  • Health-related quality of life
  • Item Response Theory
  • Logistic regression
  • Rasch analysis

ASJC Scopus subject areas

  • Health Policy

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