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Statistical Assessment of Estimated Transformations in Observed-Score Equating
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
Pontificia Universidad Católica de Chile.
2016 (English)In: Journal of educational measurement, ISSN 0022-0655, E-ISSN 1745-3984, Vol. 53, no 1, 106-125 p.Article in journal (Refereed) PublishedText
Abstract [en]

Equating methods make use of an appropriate transformation function to map the scores of one test form into the scale of another so that scores are comparable and can be used interchangeably. The equating literature shows that the ways of judging the success of an equating (i.e., the score transformation) might differ depending on the adopted framework. Rather than targeting different parts of the equating process and aiming to evaluate the process from different aspects, this article views the equating transformation as a standard statistical estimator and discusses how this estimator should be assessed in an equating framework. For the kernel equating framework, a numerical illustration shows the potentials of viewing the equating transformation as a statistical estimator as opposed to assessing it using equating-specific criteria. A discussion on how this approach can be used to compare other equating estimators from different frameworks is also included.

Place, publisher, year, edition, pages
John Wiley & Sons, 2016. Vol. 53, no 1, 106-125 p.
National Category
Probability Theory and Statistics
URN: urn:nbn:se:umu:diva-119075DOI: 10.1111/jedm.12103ISI: 000372157500006OAI: diva2:920954
Available from: 2016-04-19 Created: 2016-04-11 Last updated: 2016-04-19Bibliographically approved

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