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Applying Test Equating methods using R
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0001-5549-8262
2018 (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. Equating has a central role in large testing programs and it constitutes an important step in the process of collecting, analyzing, and reporting test scores. Equating is important as it ensures a fair assessment regardless which time, place or background different test takers might have. This workshop has two main goals. The first goal is to introduce equating. Through a number of examples and practical exercises, attendees will get both a conceptual and practical understanding of various equating methods conducted under different data collection designs. The R software will be used throughout the session with special focus on the packages; equate, kequate, and SNSequate. The second goal is to provide the necessary tools to be able to perform different equating methods in practice by using available R packages for equating. The training session follows some of the chapters in the book Applying test equating methods using R which has been written by the instructors and was released in 2017 by Springer. The workshop will start by introducing traditional equating methods and different data collection designs and the attendees will be acquainted on how to perform these methods using the R packages equate. Next, the attendees will be guided through the five steps of kernel equating; presmoothing, estimating score probabilities, continuization, equating and calculating the standard error of equating, using the R packages kequate and SNSequate. The attendees will then be introduced to item response theory equating and will receive practical guidance on how to perform these methods using R.

Place, publisher, year, edition, pages
2018.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-163916OAI: oai:DiVA.org:umu-163916DiVA, id: diva2:1358709
Conference
On the Beat of Testing, 11th conference of The International Test Commission, July 2-5, 2018, Montréal, Canada
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
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf