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Justice-Oriented, Antiracist Validation: Continuing to Disrupt White Supremacy in Assessment Practices.

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Title: Justice-Oriented, Antiracist Validation: Continuing to Disrupt White Supremacy in Assessment Practices.
Authors: Randall, Jennifer (AUTHOR), Poe, Mya (AUTHOR), Oliveri, Maria Elena (AUTHOR), Slomp, David (AUTHOR)
Source: Educational Assessment. Jan-Mar2024, Vol. 29 Issue 1, p1-20. 20p.
Subjects: White supremacy, Anti-racism, Race, Test design, Data analysis
Abstract: Traditional validation approaches fail to account for the ways oppressive systems (e.g. racism, radical nationalism) impact the test design and development process. To disrupt this legacy of white supremacy, we illustrate how justice-oriented, antiracist validation (JAV) framework can be applied to construct articulation and validation, data analysis, and score reporting/interpretation phases of assessment design/development. In this article, we use the JAV framework to describe validation processes that acknowledge the role and impact of race/racism on our assessment processes—specifically construct articulation, analysis, and score reporting—on Black, Brown, Indigenous, and other students from historically marginalized populations. Through a JAV framework, we seek to disrupt inaccurate white supremacist approaches and interpretations that for too long have fuelled measurement practices. [ABSTRACT FROM AUTHOR]
Copyright of Educational Assessment 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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  Data: Justice-Oriented, Antiracist Validation: Continuing to Disrupt White Supremacy in Assessment Practices.
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  Data: <searchLink fieldCode="JN" term="%22Educational+Assessment%22">Educational Assessment</searchLink>. Jan-Mar2024, Vol. 29 Issue 1, p1-20. 20p.
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  Data: <searchLink fieldCode="DE" term="%22White+supremacy%22">White supremacy</searchLink><br /><searchLink fieldCode="DE" term="%22Anti-racism%22">Anti-racism</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Test+design%22">Test design</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink>
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  Label: Abstract
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  Data: Traditional validation approaches fail to account for the ways oppressive systems (e.g. racism, radical nationalism) impact the test design and development process. To disrupt this legacy of white supremacy, we illustrate how justice-oriented, antiracist validation (JAV) framework can be applied to construct articulation and validation, data analysis, and score reporting/interpretation phases of assessment design/development. In this article, we use the JAV framework to describe validation processes that acknowledge the role and impact of race/racism on our assessment processes—specifically construct articulation, analysis, and score reporting—on Black, Brown, Indigenous, and other students from historically marginalized populations. Through a JAV framework, we seek to disrupt inaccurate white supremacist approaches and interpretations that for too long have fuelled measurement practices. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Assessment 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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        Value: 10.1080/10627197.2023.2285047
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      – SubjectFull: Race
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              Text: Jan-Mar2024
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