Diagnosing item score patterns using IRT based person-fit statistics

R.R. Meijer

Research output: Book/ReportReportProfessional

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Abstract

Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. This study investigated how these statistics can be used to detect different types of misfit. Intelligence test data for 992 people at or beyond college level were analyzed using person-fit statistics in the context of the Rasch model and Mokkens IRT models (R. Mokken, 1997). The sensitivity for different types of misfit was illustrated. The effect of the choice of an IRT model to detect person misfit and the usefulness of person-fit statistics as a diagnostic instrument are discussed.
Original languageEnglish
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty Educational Science and Technology
Number of pages41
Publication statusPublished - 2001

Publication series

NameOMD research report
PublisherUniversity of Twente, Faculty of Educational Science and Technology
No.01-02

Keywords

  • Intelligence Tests
  • College Students
  • Adults
  • Test Items
  • Diagnostic Tests
  • IR-104131
  • METIS-205702
  • Item Response Theory
  • Goodness of Fit
  • Foreign Countries
  • Higher Education
  • Scores

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