Using item response theory to obtain individual information from randomized response data: an application using cheating data

Jean-Paul Fox, Rob R. Meijer

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

Abstract

The authors discuss a new method that combines the randomized response technique with item response theory. This method allows the researcher to obtain information at the individual person level without knowing the true responses. With this new method, it is possible to compare groups of individuals by means of analysis of variance or regression analysis. To illustrate the advantages of this new method, 349 students of a university in the Netherlands were surveyed with respect to frequency and reasons to cheat on exams, and students' attitudes toward cheating were investigated. Thirty-six items tapping different types of cheating behavior were used to measure attitude toward cheating, and responses to questions were obtained via a randomized response technique. The new method was used to explain differences among students' attitudes using different kinds of background information.
Original languageEnglish
Pages (from-to)595-610
Number of pages16
JournalApplied psychological measurement
Volume32
Issue number8
DOIs
Publication statusPublished - 2008

Keywords

  • ANOVA
  • Attitudes
  • Cheating
  • Item response theory (IRT)
  • Randomized response data

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