Are Online and Paper Tests Comparable? Evidence from Statewide K-12 Tests.
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| Title: | Are Online and Paper Tests Comparable? Evidence from Statewide K-12 Tests. |
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| Authors: | Backes, Ben (AUTHOR), Cowan, James (AUTHOR) |
| Source: | Applied Measurement in Education. Jan-Mar2024, Vol. 37 Issue 1, p1-13. 13p. |
| Subjects: | Predictive validity, Computer adaptive testing, Grade point average, Research questions, Test scoring |
| Geographic Terms: | Massachusetts |
| Abstract: | We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small mode effects for a more recent transition in Massachusetts. Second, we investigate the predictive evidence of validity for paper and online tests for predictions of future test scores and grades. We generally find minimal differences for the extent to which scores on paper tests can differentially predict future online versus paper test scores. Finally, online and paper test scores are similarly predictive of future grade point average. We conclude that the online test penalty can vary substantially by test and that extreme care should be taken when administering online tests to some students and paper tests to others. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Measurement in Education is the property of Taylor & Francis Ltd 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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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 175570130 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Are Online and Paper Tests Comparable? Evidence from Statewide K-12 Tests. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Backes%2C+Ben%22">Backes, Ben</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cowan%2C+James%22">Cowan, James</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Measurement+in+Education%22">Applied Measurement in Education</searchLink>. Jan-Mar2024, Vol. 37 Issue 1, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Predictive+validity%22">Predictive validity</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+adaptive+testing%22">Computer adaptive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+point+average%22">Grade point average</searchLink><br /><searchLink fieldCode="DE" term="%22Research+questions%22">Research questions</searchLink><br /><searchLink fieldCode="DE" term="%22Test+scoring%22">Test scoring</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Massachusetts%22">Massachusetts</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small mode effects for a more recent transition in Massachusetts. Second, we investigate the predictive evidence of validity for paper and online tests for predictions of future test scores and grades. We generally find minimal differences for the extent to which scores on paper tests can differentially predict future online versus paper test scores. Finally, online and paper test scores are similarly predictive of future grade point average. We conclude that the online test penalty can vary substantially by test and that extreme care should be taken when administering online tests to some students and paper tests to others. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Measurement in Education is the property of Taylor & Francis Ltd 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=175570130 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08957347.2024.2311933 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Predictive validity Type: general – SubjectFull: Computer adaptive testing Type: general – SubjectFull: Grade point average Type: general – SubjectFull: Research questions Type: general – SubjectFull: Test scoring Type: general – SubjectFull: Massachusetts Type: general Titles: – TitleFull: Are Online and Paper Tests Comparable? Evidence from Statewide K-12 Tests. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Backes, Ben – PersonEntity: Name: NameFull: Cowan, James IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan-Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 08957347 Numbering: – Type: volume Value: 37 – Type: issue Value: 1 Titles: – TitleFull: Applied Measurement in Education Type: main |
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