Evaluating Statistical Targets for Assembling Parallel Mixed-Format Test Forms.
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| Title: | Evaluating Statistical Targets for Assembling Parallel Mixed-Format Test Forms. |
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| Authors: | Debeer, Dries1 dries.debeer@uzh.ch, Ali, Usama S.2 uali@ets.org, Rijn, Peter W.3 pvanrijn@etsglobal.org |
| Source: | Journal of Educational Measurement. Summer2017, Vol. 54 Issue 2, p218-242. 25p. |
| Subject Terms: | *Educational testing services, *Educational programs, *Item response theory, Parameters (Statistics), Logistic model (Demography) |
| Abstract: | Test assembly is the process of selecting items from an item pool to form one or more new test forms. Often new test forms are constructed to be parallel with an existing (or an ideal) test. Within the context of item response theory, the test information function (TIF) or the test characteristic curve (TCC) are commonly used as statistical targets to obtain this parallelism. In a recent study, Ali and van Rijn proposed combining the TIF and TCC as statistical targets, rather than using only a single statistical target. In this article, we propose two new methods using this combined approach, and compare these methods with single statistical targets for the assembly of mixed-format tests. In addition, we introduce new criteria to evaluate the parallelism of multiple forms. The results show that single statistical targets can be problematic, while the combined targets perform better, especially in situations with increasing numbers of polytomous items. Implications of using the combined target are discussed. [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: 123349882 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating Statistical Targets for Assembling Parallel Mixed-Format Test Forms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Debeer%2C+Dries%22">Debeer, Dries</searchLink><relatesTo>1</relatesTo><i> dries.debeer@uzh.ch</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Usama+S%2E%22">Ali, Usama S.</searchLink><relatesTo>2</relatesTo><i> uali@ets.org</i><br /><searchLink fieldCode="AR" term="%22Rijn%2C+Peter+W%2E%22">Rijn, Peter W.</searchLink><relatesTo>3</relatesTo><i> pvanrijn@etsglobal.org</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Educational+Measurement%22">Journal of Educational Measurement</searchLink>. Summer2017, Vol. 54 Issue 2, p218-242. 25p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Educational+testing+services%22">Educational testing services</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+programs%22">Educational programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Item+response+theory%22">Item response theory</searchLink><br /><searchLink fieldCode="DE" term="%22Parameters+%28Statistics%29%22">Parameters (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+model+%28Demography%29%22">Logistic model (Demography)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Test assembly is the process of selecting items from an item pool to form one or more new test forms. Often new test forms are constructed to be parallel with an existing (or an ideal) test. Within the context of item response theory, the test information function (TIF) or the test characteristic curve (TCC) are commonly used as statistical targets to obtain this parallelism. In a recent study, Ali and van Rijn proposed combining the TIF and TCC as statistical targets, rather than using only a single statistical target. In this article, we propose two new methods using this combined approach, and compare these methods with single statistical targets for the assembly of mixed-format tests. In addition, we introduce new criteria to evaluate the parallelism of multiple forms. The results show that single statistical targets can be problematic, while the combined targets perform better, especially in situations with increasing numbers of polytomous items. Implications of using the combined target are discussed. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/jedm.12142 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 218 Subjects: – SubjectFull: Educational testing services Type: general – SubjectFull: Educational programs Type: general – SubjectFull: Item response theory Type: general – SubjectFull: Parameters (Statistics) Type: general – SubjectFull: Logistic model (Demography) Type: general Titles: – TitleFull: Evaluating Statistical Targets for Assembling Parallel Mixed-Format Test Forms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Debeer, Dries – PersonEntity: Name: NameFull: Ali, Usama S. – PersonEntity: Name: NameFull: Rijn, Peter W. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Summer2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 00220655 Numbering: – Type: volume Value: 54 – Type: issue Value: 2 Titles: – TitleFull: Journal of Educational Measurement Type: main |
| ResultId | 1 |
