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Questioning the Science

How Quantitative Methodologies Perpetuate Inequity in Higher Education

Bibliographic Data

ID22048485
AuthorsLucy Arellano Jr (0000-0002-2410-0984, Texas Tech University, corresponding author)
Year2022
Volume12
Issue2
Pages116
Publication date2022-02-09
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci12020116
OpenAlexW4211211413
LanguageEN
Citations received12
References cited12

Higher education is in a moment of pause, facing an opportunity to transform or continue to perpetuate the status quo. The COVID-19 pandemic, coupled with the recognition of racial violence, has created an opportunity for institutions to question their own policies and practices. The purpose of this inquiry is to question the science behind established statistical practices. Specifically, the question guiding this investigation is: How can higher education quantitative scholars (students and faculty) identify and be critical of statistical practices that perpetuate inequity, forms of oppression, and White supremacy? Using a QuantCrit framework, five examples are presented that illustrate multiple forms of oppression, subjectivity, and bias including: (a) comparing across groups, (b) eliminating outliers, (c) addressing non-response bias, (d) small sample sizes, and (e) theory development. Two recommendations are discussed that could help transform higher educational quantitative research and training into a more inclusive, equitable, and anti-racist educational environment

Epistemology · Higher education · Oppression · Pedagogy · Political science · Politics · Racial bias · Racism · Sociology · Status quo · Subjectivity · Gender Studies · Innovative Teaching Methodologies in Social Sciences · Law · Statistics Education and Methodologies

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Citations per year6
Citation span2024 - 2026 (3)
Highly citedNo

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