Examining the Impact of Violations of Local Item Independence Assumption on Test Equating Methods

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Title: Examining the Impact of Violations of Local Item Independence Assumption on Test Equating Methods
Language: English
Authors: Mehmet Fatih Doguyurt (ORCID 0000-0001-9206-3321), Seref Tan (ORCID 0000-0002-9892-3369)
Source: International Journal of Assessment Tools in Education. 2025 12(3):629-661.
Availability: International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://dergipark.org.tr/en/pub/ijate
Peer Reviewed: Y
Page Count: 33
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Secondary Education
Descriptors: Equated Scores, Test Items, Mathematics Tests, International Assessment, Secondary School Students, Achievement Tests, Foreign Countries, Test Theory, Item Response Theory, Error of Measurement, Sample Size, Test Length, Test Bias
Assessment and Survey Identifiers: Program for International Student Assessment
ISSN: 2148-7456
Abstract: This study investigates the impact of violating the local item independence assumption by loading certain items onto a second dimension on test equating errors in unidimensional and dichotomous tests. The research was designed as a simulation study, using data generated based on the PISA 2018 mathematics exam. Analyses were conducted under 36 different conditions, varying by sample sizes (250, 1000, and 5000), test lengths (20, 40, and 60 items), and proportions of items loaded onto the second dimension (0%, 15%, 30%, and 50%). A "random groups design" was used, resulting in the creation of 3600 datasets through 100 replications. The results revealed that the equating methods based on classical test theory (CTT) showed varying levels of error depending on the error types and conditions. Among the item response theory (IRT) scale transformation methods, the Stocking-Lord method produced the least error values and was the least affected by violations of the local independence assumption. Additionally, the observed score equating method demonstrated lower root mean square error (RMSE) values than the true score equating method and was less affected by local independence violations. The SS-MIRT observed score equating method yielded lower RMSE values compared to the other methods and was found to be more robust against the violation of the local independence assumption.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1482887
Database: ERIC
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  Data: Examining the Impact of Violations of Local Item Independence Assumption on Test Equating Methods
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  Data: <searchLink fieldCode="AR" term="%22Mehmet+Fatih+Doguyurt%22">Mehmet Fatih Doguyurt</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9206-3321">0000-0001-9206-3321</externalLink>)<br /><searchLink fieldCode="AR" term="%22Seref+Tan%22">Seref Tan</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9892-3369">0000-0002-9892-3369</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Assessment+Tools+in+Education%22"><i>International Journal of Assessment Tools in Education</i></searchLink>. 2025 12(3):629-661.
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  Data: International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://dergipark.org.tr/en/pub/ijate
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  Data: 33
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– Name: Abstract
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  Data: This study investigates the impact of violating the local item independence assumption by loading certain items onto a second dimension on test equating errors in unidimensional and dichotomous tests. The research was designed as a simulation study, using data generated based on the PISA 2018 mathematics exam. Analyses were conducted under 36 different conditions, varying by sample sizes (250, 1000, and 5000), test lengths (20, 40, and 60 items), and proportions of items loaded onto the second dimension (0%, 15%, 30%, and 50%). A "random groups design" was used, resulting in the creation of 3600 datasets through 100 replications. The results revealed that the equating methods based on classical test theory (CTT) showed varying levels of error depending on the error types and conditions. Among the item response theory (IRT) scale transformation methods, the Stocking-Lord method produced the least error values and was the least affected by violations of the local independence assumption. Additionally, the observed score equating method demonstrated lower root mean square error (RMSE) values than the true score equating method and was less affected by local independence violations. The SS-MIRT observed score equating method yielded lower RMSE values compared to the other methods and was found to be more robust against the violation of the local independence assumption.
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  Data: 2025
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  Data: EJ1482887
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 33
        StartPage: 629
    Subjects:
      – SubjectFull: Equated Scores
        Type: general
      – SubjectFull: Test Items
        Type: general
      – SubjectFull: Mathematics Tests
        Type: general
      – SubjectFull: International Assessment
        Type: general
      – SubjectFull: Secondary School Students
        Type: general
      – SubjectFull: Achievement Tests
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Test Theory
        Type: general
      – SubjectFull: Item Response Theory
        Type: general
      – SubjectFull: Error of Measurement
        Type: general
      – SubjectFull: Sample Size
        Type: general
      – SubjectFull: Test Length
        Type: general
      – SubjectFull: Test Bias
        Type: general
      – SubjectFull: Program for International Student Assessment
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      – TitleFull: Examining the Impact of Violations of Local Item Independence Assumption on Test Equating Methods
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            NameFull: Mehmet Fatih Doguyurt
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            NameFull: Seref Tan
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