Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach.
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| Title: | Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach. |
|---|---|
| Authors: | Lim, Hwanggyu1 (AUTHOR), Choe, Edison M.2 (AUTHOR) |
| Source: | Journal of Educational Measurement. Dec2023, Vol. 60 Issue 4, p626-650. 25p. |
| Subject Terms: | *Computer adaptive testing, False positive error |
| Abstract: | The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIFR statistic both as an index for detecting uniform DIF of pretest items in CAT and as a direct measure of the effect size of uniform DIF. Extensive CAT simulations revealed RDIFR to have well‐controlled Type I error and slightly higher power to detect uniform DIF compared with CATSIB, especially when pretest items were calibrated using fixed‐item parameter calibration. Moreover, RDIFR accurately estimated the amount of uniform DIF irrespective of the presence of impact. Therefore, RDIFR demonstrates its potential as a useful tool for evaluating both the statistical and practical significance of uniform DIF in CAT. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Educational Measurement is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 174011257 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lim%2C+Hwanggyu%22">Lim, Hwanggyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choe%2C+Edison+M%2E%22">Choe, Edison M.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Educational+Measurement%22">Journal of Educational Measurement</searchLink>. Dec2023, Vol. 60 Issue 4, p626-650. 25p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Computer+adaptive+testing%22">Computer adaptive testing</searchLink><br /><searchLink fieldCode="DE" term="%22False+positive+error%22">False positive error</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIFR statistic both as an index for detecting uniform DIF of pretest items in CAT and as a direct measure of the effect size of uniform DIF. Extensive CAT simulations revealed RDIFR to have well‐controlled Type I error and slightly higher power to detect uniform DIF compared with CATSIB, especially when pretest items were calibrated using fixed‐item parameter calibration. Moreover, RDIFR accurately estimated the amount of uniform DIF irrespective of the presence of impact. Therefore, RDIFR demonstrates its potential as a useful tool for evaluating both the statistical and practical significance of uniform DIF in CAT. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Educational Measurement is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=174011257 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/jedm.12366 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 626 Subjects: – SubjectFull: Computer adaptive testing Type: general – SubjectFull: False positive error Type: general Titles: – TitleFull: Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lim, Hwanggyu – PersonEntity: Name: NameFull: Choe, Edison M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00220655 Numbering: – Type: volume Value: 60 – Type: issue Value: 4 Titles: – TitleFull: Journal of Educational Measurement Type: main |
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