Date of Award
2022
Document Type
Dissertation
Degree Name
Ph.D.
Organizational Unit
Morgridge College of Education, Higher Education
First Advisor
P. Bruce Uhrmacher
Second Advisor
Mike H. Nguyen
Third Advisor
Cecilia M. Orphan
Keywords
Critical theory, Data criticism, Descriptive statistics, Equity, Pragmatism, QuantCrit
Abstract
The economic logic of neoliberalism has reached its zenith—now firmly entrenched in our political, social, and cultural transactions (Giroux, 2014; Harvey, 2005). As a result, we stand on the precipice of a new era—the data era—in which neoliberalism’s orientation towards accountability, micro-management, and hierarchical ordering mediates all social and political narratives. Data, it is said, is fast becoming “the new oil”—the most valuable global resource (Bhageshpur, 2019; Harari, 2018).
This is problematic. Although there are countless ways in which the application of data has improved the world, it has a long, dark history as a technology of oppression. Yet, data is different than the powerful resources of the past. Unlike land and factories, data’s power is not tangible. Rather, it exists only through the intellectual interpretation we collectively assign to it. Therefore, data’s false narratives might also be challenged, rather than exercised against us.
This dissertation asks and answers: How might we change our relationship with data to better consume and produce it? And to coax more equity into being, while rooting out oppression?
This is accomplished via a three-manuscript dissertation in which each essay is ready for academic publication. Essay one presents a conceptual framework—a reimagination of the past 100 years of data-criticism literature—providing the reader guidance on how to spot power, thereby becoming a better consumer of data. Through rigorous systematic review, essay two synthesizes the literature of the critical+quant scholars, resulting in a framework for producing better data. Essay three applies the findings of the earlier essays to illustrate how criticality, applied to data heavy higher education public policy reports, improves equity.
Read in totality, these manuscripts suggest that power does not necessarily take the form of a force wielded from above: data’s power exists through the interpretations we assign it. Therefore, as we amend our relationship with data, it might become a tool to harness hope, rather than an apparatus for oppression. In so doing, a fairer, more just world might be realized.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Wendy A. Fish
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
279 pgs
Recommended Citation
Fish, Wendy A., "A Call for Critically Inclined Higher Education Data" (2022). Electronic Theses and Dissertations. 2052.
https://digitalcommons.du.edu/etd/2052
Copyright date
2022
Discipline
Higher education