This Article Full Text (OnlineFirst PDF) All Versions of this Article: 0146621607312277v1 32/8/595    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Fox, J.-P. Articles by Meijer, R. R. Search for Related Content Social Bookmarking                         What's this?

Using Item Response Theory to Obtain Individual Information From Randomized Response Data: An Application Using Cheating Data

^* To whom correspondence should be addressed. E-mail: Fox{at}edte.utwente.nl.

	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.

First published on April 16, 2008, doi:10.1177/0146621607312277

Applied Psychological Measurement 2008;32:595.

A more recent version of this article appeared on November 1, 2008


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?