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Local Observed-Score Kernel Equating
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 1, 57-74 p.Article in journal (Refereed) Published
Abstract [en]

Three local observed-score kernel equating methods that integrate methods from the local equating and kernel equating frameworks are proposed. The new methods were compared with their earlier counterparts with respect to such measures as biasas defined by Lord's criterion of equityand percent relative error. The local kernel item response theory observed-score equating method, which can be used for any of the common equating designs, had a small amount of bias, a low percent relative error, and a relatively low kernel standard error of equating, even when the accuracy of the test was reduced. The local kernel equating methods for the nonequivalent groups with anchor test generally had low bias and were quite stable against changes in the accuracy or length of the anchor test. Although all proposed methods showed small percent relative errors, the local kernel equating methods for the nonequivalent groups with anchor test design had somewhat larger standard error of equating than their kernel method counterparts.

Place, publisher, year, edition, pages
2014. Vol. 51, no 1, 57-74 p.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-85135DOI: 10.1111/jedm.12034ISI: 000333469400004OAI: oai:DiVA.org:umu-85135DiVA: diva2:691663
Available from: 2014-01-28 Created: 2014-01-28 Last updated: 2017-12-06Bibliographically approved

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