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Supporting fair use in context of instruments in engineering education research: A renewed conversation about validity.

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Title: Supporting fair use in context of instruments in engineering education research: A renewed conversation about validity.
Authors: Henderson, Trevion S.1 (AUTHOR) trevion.henderson@tufts.edu, Godwin, Allison2 (AUTHOR) afg64@cornell.edu, Carberry, Adam Robert3 (AUTHOR) carberry.22@osu.edu
Source: Journal of Engineering Education. Jan2026, Vol. 115 Issue 1, p1-5. 5p.
Subjects: Test validity, Engineering education, Statistical reliability, Research methodology, Evaluation methodology, Research integrity
Abstract: The article focuses on the importance of validity in engineering education research, highlighting the need for a robust validation process for assessment instruments. It discusses the historical reliance on external frameworks for instrument development and the ongoing issues with the inadequate consideration of validity in many submissions to the Journal of Engineering Education. The authors emphasize a shift from a trinitarian to a unitarian view of validity, advocating for a comprehensive approach that includes methodological transparency, context-specific considerations, and valid inferences. They encourage the engineering education community to engage with these discussions to enhance the quality and trustworthiness of research findings. [Extracted from the article]
Copyright of Journal of Engineering Education 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: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Test+validity%22">Test validity</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+integrity%22">Research integrity</searchLink>
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  Data: The article focuses on the importance of validity in engineering education research, highlighting the need for a robust validation process for assessment instruments. It discusses the historical reliance on external frameworks for instrument development and the ongoing issues with the inadequate consideration of validity in many submissions to the Journal of Engineering Education. The authors emphasize a shift from a trinitarian to a unitarian view of validity, advocating for a comprehensive approach that includes methodological transparency, context-specific considerations, and valid inferences. They encourage the engineering education community to engage with these discussions to enhance the quality and trustworthiness of research findings. [Extracted from the article]
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  Data: <i>Copyright of Journal of Engineering Education 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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        Value: 10.1002/jee.70041
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        Text: English
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      – SubjectFull: Engineering education
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      – SubjectFull: Statistical reliability
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      – SubjectFull: Research methodology
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      – SubjectFull: Evaluation methodology
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      – SubjectFull: Research integrity
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              Text: Jan2026
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