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Examining the Impact of Covariates on Anchor Tests to Ascertain Quality Over Time in a College Admissions Test
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0001-5549-8262
2017 (English)In: International Journal of Testing, ISSN 1530-5058, E-ISSN 1532-7574, Vol. 17, no 2, p. 105-126Article in journal (Refereed) Published
Abstract [en]

We propose a comprehensive procedure for the implementation of a quality control process of anchor tests for a college admissions test with multiple consecutive administrations. We propose to examine the anchor tests and their items in connection with covariates to investigate if there was any unusual behavior in the anchor test results over time and if the test results differed for different groups of test takers. Descriptive statistics, ANOVA, and linear mixed effect models were used to examine the impact of covariates on the anchor test over time. Descriptive statistics and logistic regression were used to examine the quality of each anchor item over time. It is concluded that examining the impact of the test takers' covariates at different administrations can help in the process of providing fair tests for all test takers. The results are discussed with recommendations how it can be used in other large testing programs.

Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 17, no 2, p. 105-126
Keywords [en]
item analysis, linear mixed effect model, logistic regression, quality control
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-137416DOI: 10.1080/15305058.2016.1277357ISI: 000402241300001OAI: oai:DiVA.org:umu-137416DiVA, id: diva2:1119725
Available from: 2017-07-04 Created: 2017-07-04 Last updated: 2018-12-20Bibliographically 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