Two Approaches for Using Multiple Anchors in NEAT Equating: A Description and Demonstration.
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| Title: | Two Approaches for Using Multiple Anchors in NEAT Equating: A Description and Demonstration. |
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| Authors: | Tim Moses1 tmoses@ets.org, Weiling Deng1, Yu-Li Zhang1 |
| Source: | Applied Psychological Measurement. Jul2011, Vol. 35 Issue 5, p362-379. 18p. |
| Subject Terms: | *Standardized tests, Equations, Missing data (Statistics), Multiple imputation (Statistics), Psychometrics |
| Abstract: | Nonequivalent groups with anchor test (NEAT) equating functions that use a single anchor can have accuracy problems when the groups are extremely different and/or when the anchor weakly correlates with the tests being equated. Proposals have been made to address these issues by incorporating more than one anchor into NEAT equating functions. These proposals have not been extensively considered or comparatively evaluated. This study evaluates two proposed approaches for incorporating more than one anchor into NEAT equating functions, poststratification and missing data imputation. The approaches are studied and compared in an example of equating mixed format tests where the use of multiple equating is expected to improve equating. The results show that both approaches produced nearly equivalent equating results but that the poststratification approach has some flexibility and accuracy advantages over imputation in terms of standard errors. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Psychological Measurement is the property of Sage Publications Inc. 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 | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 61766588 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Two Approaches for Using Multiple Anchors in NEAT Equating: A Description and Demonstration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tim+Moses%22">Tim Moses</searchLink><relatesTo>1</relatesTo><i> tmoses@ets.org</i><br /><searchLink fieldCode="AR" term="%22Weiling+Deng%22">Weiling Deng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu-Li+Zhang%22">Yu-Li Zhang</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Psychological+Measurement%22">Applied Psychological Measurement</searchLink>. Jul2011, Vol. 35 Issue 5, p362-379. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Standardized+tests%22">Standardized tests</searchLink><br /><searchLink fieldCode="DE" term="%22Equations%22">Equations</searchLink><br /><searchLink fieldCode="DE" term="%22Missing+data+%28Statistics%29%22">Missing data (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+imputation+%28Statistics%29%22">Multiple imputation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Nonequivalent groups with anchor test (NEAT) equating functions that use a single anchor can have accuracy problems when the groups are extremely different and/or when the anchor weakly correlates with the tests being equated. Proposals have been made to address these issues by incorporating more than one anchor into NEAT equating functions. These proposals have not been extensively considered or comparatively evaluated. This study evaluates two proposed approaches for incorporating more than one anchor into NEAT equating functions, poststratification and missing data imputation. The approaches are studied and compared in an example of equating mixed format tests where the use of multiple equating is expected to improve equating. The results show that both approaches produced nearly equivalent equating results but that the poststratification approach has some flexibility and accuracy advantages over imputation in terms of standard errors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Psychological Measurement is the property of Sage Publications Inc. 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: 10.1177/0146621611405510 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 362 Subjects: – SubjectFull: Standardized tests Type: general – SubjectFull: Equations Type: general – SubjectFull: Missing data (Statistics) Type: general – SubjectFull: Multiple imputation (Statistics) Type: general – SubjectFull: Psychometrics Type: general Titles: – TitleFull: Two Approaches for Using Multiple Anchors in NEAT Equating: A Description and Demonstration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tim Moses – PersonEntity: Name: NameFull: Weiling Deng – PersonEntity: Name: NameFull: Yu-Li Zhang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 01466216 Numbering: – Type: volume Value: 35 – Type: issue Value: 5 Titles: – TitleFull: Applied Psychological Measurement Type: main |
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