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Optimal Bandwidth Selection in Observed-Score Kernel Equating
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
2014 (English)In: Journal of educational measurement, ISSN 0022-0655, E-ISSN 1745-3984, Vol. 51, no 2, 201-211 p.Article in journal (Refereed) Published
Abstract [en]

The selection of bandwidth in kernel equating is important because it has a direct impact on the equated test scores. The aim of this article is to examine the use of double smoothing when selecting bandwidths in kernel equating and to compare double smoothing with the commonly used penalty method. This comparison was made using both an equivalent groups design and a nonequivalent group with anchor test design. The performance of the methods was evaluated through simulation studies using both symmetric and skewed score distributions. In addition, the bandwidth selection methods were applied to real data from a college admissions test. The results show that the traditional penalty method works well although double smoothing is a viable alternative because it performs reasonably well compared to the traditional method.

Place, publisher, year, edition, pages
2014. Vol. 51, no 2, 201-211 p.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-89689DOI: 10.1111/jedm.12042ISI: 000337594000005OAI: oai:DiVA.org:umu-89689DiVA: diva2:722914
Available from: 2014-06-09 Created: 2014-06-09 Last updated: 2017-12-05Bibliographically approved

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