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Can a multidimensional test be evaluated with unidimensional item response theory?
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (statistik)
2012 (English)In: Educational Research and Evaluation, ISSN 1380-3611, E-ISSN 1744-4187, Vol. 18, no 4, 307-320 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to evaluate possible consequences of using unidimensional item response theory (UIRT) on a multidimensional college admission test. The test consists of 5 subscales and can be divided into two sections, that is, it can be considered both as a unidimensional and a multidimensional test. The test was examined with both UIRT and multidimensional IRT (MIRT). Simulations were used to examine item and ability parameter recovery when UIRT and MIRT models were used. The results obtained from the college admission test showed that although we get a better model fit when using MIRT instead of UIRT, the difference is small if we compare it with using a consecutive UIRT approach. The results from the simulations indicate that if the test only has between-item multidimensionality, it is probably not harmful to use UIRT instead of MIRT models.

Place, publisher, year, edition, pages
2012. Vol. 18, no 4, 307-320 p.
Keyword [en]
MIRT, UIRT, bias parameter recovery, real data
National Category
Educational Sciences Probability Theory and Statistics
Research subject
URN: urn:nbn:se:umu:diva-54296DOI: 10.1080/13803611.2012.670416OAI: diva2:517558
Available from: 2012-04-24 Created: 2012-04-24 Last updated: 2016-08-26Bibliographically approved

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