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Item response theory observed-score kernel equating
Beijing Normal University.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0001-5549-8262
2017 (English)In: Psychometrika, ISSN 0033-3123, E-ISSN 1860-0980, Vol. 82, no 1, 48-66 p.Article in journal (Refereed) Published
Abstract [en]

Item response theory (IRT) observed-score kernel equating is introduced for the non-equivalent groups with anchor test equating design using either chain equating or post-stratification equating. The equating function is treated in a multivariate setting and the asymptotic covariance matrices of IRT observed-score kernel equating functions are derived. Equating is conducted using the two-parameter and three-parameter logistic models with simulated data and data from a standardized achievement test. The results show that IRT observed-score kernel equating offers small standard errors and low equating bias under most settings considered.

Place, publisher, year, edition, pages
2017. Vol. 82, no 1, 48-66 p.
Keyword [en]
observed-score equating, item response theory, equipercentile equating, standard errors, NEAT design
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-126885DOI: 10.1007/s11336-016-9528-7ISI: 000394985400003PubMedID: 27743280OAI: oai:DiVA.org:umu-126885DiVA: diva2:1038604
Funder
Swedish Research Council, 2014-578
Available from: 2016-10-19 Created: 2016-10-19 Last updated: 2017-07-04Bibliographically approved

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CiteExportLink to record
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