A Census-Level, Multi-Grade Analysis of the Association Between Testing Time, Breaks, and Achievement.

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Title: A Census-Level, Multi-Grade Analysis of the Association Between Testing Time, Breaks, and Achievement.
Authors: Rutkowski, David (AUTHOR), Rutkowski, Leslie (AUTHOR), Valdivia, Dubravka Svetina (AUTHOR), Canbolat, Yusuf (AUTHOR), Underhill, Stephanie (AUTHOR)
Source: Applied Measurement in Education. Jan-Mar2023, Vol. 36 Issue 1, p14-30. 17p.
Subjects: Achievement, Academic achievement, Time management
Abstract: Several states in the US have removed time limits on their state assessments. In Indiana, where this study takes place, the state assessment is both untimed during the testing window and allows unlimited breaks during the testing session. Using grade 3 and 8 math and English state assessment data, in this paper we focus on time used for testing and examine whether students who take more time tend to outperform their peers. Further, we also examine if the number of breaks students take is associated with student achievement scores. Findings suggest that even in an untimed setting, there remains a strong association between time spent on the assessment and achievement at both the student and school level. The number of breaks, on the other hand, show little to no association with achievement after controlling for time. The paper concludes with a discussion of the policy implications of the findings. [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.)
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  Data: A Census-Level, Multi-Grade Analysis of the Association Between Testing Time, Breaks, and Achievement.
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  Data: <searchLink fieldCode="AR" term="%22Rutkowski%2C+David%22">Rutkowski, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rutkowski%2C+Leslie%22">Rutkowski, Leslie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Valdivia%2C+Dubravka+Svetina%22">Valdivia, Dubravka Svetina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Canbolat%2C+Yusuf%22">Canbolat, Yusuf</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Underhill%2C+Stephanie%22">Underhill, Stephanie</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Applied+Measurement+in+Education%22">Applied Measurement in Education</searchLink>. Jan-Mar2023, Vol. 36 Issue 1, p14-30. 17p.
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  Label: Abstract
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  Data: Several states in the US have removed time limits on their state assessments. In Indiana, where this study takes place, the state assessment is both untimed during the testing window and allows unlimited breaks during the testing session. Using grade 3 and 8 math and English state assessment data, in this paper we focus on time used for testing and examine whether students who take more time tend to outperform their peers. Further, we also examine if the number of breaks students take is associated with student achievement scores. Findings suggest that even in an untimed setting, there remains a strong association between time spent on the assessment and achievement at both the student and school level. The number of breaks, on the other hand, show little to no association with achievement after controlling for time. The paper concludes with a discussion of the policy implications of the findings. [ABSTRACT FROM AUTHOR]
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  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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/08957347.2023.2172019
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      – Code: eng
        Text: English
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        Type: general
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      – SubjectFull: Time management
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              Text: Jan-Mar2023
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