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Nonequivalent groups with covariates design using propensity scores for 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.ORCID iD: 0000-0001-5549-8262
2017 (English)In: Quantitative Psychology. The 81st annual meeting of the psychometric society, Asheville, North Carolina, 2016, Springer, 2017, 309-320 p.Conference paper, (Refereed)
Abstract [en]

In test score equating, the non-equivalent groups with covariates (NEC) design uses covariates with high correlation to the test scores as a substitute for an anchor test when the latter is lacking. However, as the number of covariates increases, the number of observations for each covariate combination decreases. We suggest to use propensity scores instead, which we include in the kernel equating framework using both post-stratification and chained equating. The two approaches are illustrated with data from a large scale assessment, and the results show an increased precision in comparison with the equivalent groups design, and great similarities in comparison with the results when using an anchor test.

Place, publisher, year, edition, pages
Springer, 2017. 309-320 p.
Series
Springer Proceedings in Mathematics and Statistics
Keyword [en]
collateral information, nonequivalent groups, NEC design
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-138069DOI: 10.1007/978-3-319-56294-0_27ISBN: 978-3-319-56293-3 (print)ISBN: 978-3-319-56294-0 (electronic)OAI: oai:DiVA.org:umu-138069DiVA: diva2:1129666
Conference
International Meeting of the Psychometric Society
Funder
Swedish Research Council, 2014-578
Available from: 2017-08-05 Created: 2017-08-05 Last updated: 2017-08-05

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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