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Applying Test Score Equating Methods using R
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0001-5549-8262
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

The aim of test equating is to adjust the test scores on different test forms so that they can be comparable and used interchangeably. This is extremely important in order to provide fair assessments to all test takers. The goals of the pre-conference workshop are for attendees to be able to understand the principles of equating, to conduct equating, and to interpret the results of equating in reasonable ways. Different R packages will be used to illustrate how to perform equating when test scores data are collected under different data collection designs. Traditional equating methods, kernel equating methods, item response theory (IRT) equating methods and local equating methods will be illustrated. The main part of the training session is devoted to practical exercises in how to prepare and analyze test score data using different data collection designs and different equating methods. Recent developments in equating are also discussed and examples are provided. Expected audience includes researchers, graduate students and practitioners. An introductory statistical background as well as experience in R is recommended but not required.

Place, publisher, year, edition, pages
2017.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-163915OAI: oai:DiVA.org:umu-163915DiVA, id: diva2:1358706
Conference
Assessment cultures in a globalised world, The 18th Annual AEA-Europe Conference, 8-11 November 2017, Prague, Czech Republic
Available from: 2019-10-08 Created: 2019-10-08 Last updated: 2019-10-24Bibliographically approved

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Wiberg, Marie

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf