Reporting subscores for institutions.
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| Title: | Reporting subscores for institutions. |
|---|---|
| Authors: | Haberman, Shelby (AUTHOR), Sinharay, Sandip (AUTHOR), Puhan, Gautam (AUTHOR) |
| Source: | British Journal of Mathematical & Statistical Psychology. Feb2009, Vol. 62 Issue 1, p79-95. 17p. 6 Charts, 1 Graph. |
| Subjects: | Statistics, Value added (Marketing), Database management, Test theory, Educational Testing Service, Associations, institutions, etc. |
| Abstract: | Recently, there has been an increasing level of interest in reporting subscores for components of larger assessments. This paper examines the issue of reporting subscores at an aggregate level, especially at the level of institutions to which the examinees belong. A new statistical approach based on classical test theory is proposed to assess when subscores at the institutional level have any added value over the total scores. The methods are applied to two operational data sets. For the data under study, the observed results provide little support in favour of reporting subscores for either examinees or institutions. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Mathematical & Statistical Psychology 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: | Psychology and Behavioral Sciences Collection |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 37552992 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reporting subscores for institutions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Haberman%2C+Shelby%22">Haberman, Shelby</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sinharay%2C+Sandip%22">Sinharay, Sandip</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Puhan%2C+Gautam%22">Puhan, Gautam</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Mathematical+%26+Statistical+Psychology%22">British Journal of Mathematical & Statistical Psychology</searchLink>. Feb2009, Vol. 62 Issue 1, p79-95. 17p. 6 Charts, 1 Graph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Value+added+%28Marketing%29%22">Value added (Marketing)</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Test+theory%22">Test theory</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Testing+Service%22">Educational Testing Service</searchLink><br /><searchLink fieldCode="DE" term="%22Associations%2C+institutions%2C+etc%2E%22">Associations, institutions, etc.</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Recently, there has been an increasing level of interest in reporting subscores for components of larger assessments. This paper examines the issue of reporting subscores at an aggregate level, especially at the level of institutions to which the examinees belong. A new statistical approach based on classical test theory is proposed to assess when subscores at the institutional level have any added value over the total scores. The methods are applied to two operational data sets. For the data under study, the observed results provide little support in favour of reporting subscores for either examinees or institutions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of British Journal of Mathematical & Statistical Psychology 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=pbh&AN=37552992 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1348/000711007X248875 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 79 Subjects: – SubjectFull: Statistics Type: general – SubjectFull: Value added (Marketing) Type: general – SubjectFull: Database management Type: general – SubjectFull: Test theory Type: general – SubjectFull: Educational Testing Service Type: general – SubjectFull: Associations, institutions, etc. Type: general Titles: – TitleFull: Reporting subscores for institutions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Haberman, Shelby – PersonEntity: Name: NameFull: Sinharay, Sandip – PersonEntity: Name: NameFull: Puhan, Gautam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 00071102 Numbering: – Type: volume Value: 62 – Type: issue Value: 1 Titles: – TitleFull: British Journal of Mathematical & Statistical Psychology Type: main |
| ResultId | 1 |