Slomp, David

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https://opus.uleth.ca/handle/10133/3658

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Browsing Slomp, David by Subject "Educational tests and measurements"

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    Justice-oriented, antiracist validation: continuing to disrupt white supremacy in assessment practices
    (Taylor & Francis, 2023) Randall, Jennifer; Poe, Mya; Oliveri, Maria Elena; Slomp, David
    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.
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    Our validity looks like justice. Does yours?
    (Sage, 2023) Randall, Jennifer; Poe, Mya; Slomp, David; Oliveri, Maria E.
    Educational assessments, from kindergarden to 12th grade (K-12) to licensure, have a long, well-documented history of oppression and marginalization. In this paper, we (the authors) ask the field of educational assessment/measurement to actively disrupt the White supremacist and racist logics that fuel this marginalization and re-orient itself toward assessment justice. We describe how a justice-oriented, antiracist validity (JAV) approach to validation processes can support assessment justice efforts, specifically with respect to language assessment. Relying on antiracist principles and critical quantitative methodologies, a JAV approach proposes a set of critical questions to consider when gathering validity evidence, with potential utility for language testers.