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Using Quantitative Critical Race Theory (QuantCrit) as a framework, this book will develop the foundation for a praxis to explore a range of questions that research and assessment professionals and other data users can use to be engaged critics in working towards a more just and equitable society.
List of contents
1. What is QuantCrit? Critical Quantitative Methodologies, Critical Race Theory, and QuantCrit as a Methodological Framework 2. The Centrality of Racism 3. Numbers Are Not Neutral 4. Categories Are Neither Neutral nor Natural 5. Voice and Insight: Data Cannot “Speak for Themselves” 6. The Necessity of a Justice and Equity Orientation 7. Conclusion: Quantitative Methodologies for Racial Justice
About the author
Wendy Castillo, Ph.D. is an Assistant Professor in Urban Education and Quantitative Methods at Montclair State University, Montclair, NJ. Her work focuses on applying a racial equity lens to quantitative methods including using QuantCrit and other anti-racism approaches.
Kamden K. Strunk, Ph.D. is a Professor of Educational Research Methodologies at Virginia Commonwealth University, Richmond, VA. His work focuses on critical approaches to quantitative methodologies, intersectional queer and trans studies in education, and improving teaching and learning conditions toward equity.
Summary
How to QuantCrit equips researchers and users of quantitative data with practices to alter how they collect and analyze quantitative data. Using Quantitative Critical Race Theory (QuantCrit) as a framework, this book develops the foundation for an iterative praxis to explore a range of questions that prompt practitioners and stakeholders to be engaged critics in working towards a more just and equitable society.
The book begins with an overview of QuantCrit and its five tenets: (1) the centrality of racism; (2) numbers are not neutral; (3) categories are neither ‘natural’ nor given; (4) the importance voice and insight (data cannot speak for themselves); and (5) a social justice/equity orientation. Each subsequent chapter begins with a more detailed explanation and exploration of the tenet. Then, the chapters move into actionable steps that researchers and data users can take to implement QuantCrit into applied practice. Finally, the book closes with thoughts on working to use quantitative data for racial justice.
This book is intended for researchers, data users, and graduate students in education and education-related disciplines. It offers insights and suggested actions that range from working with existing data sets in more racially just ways to more radically reimagining the entire educational research process. As such, the book offers ideas and information that can be useful for anyone working with quantitative educational data.
The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. The Open Access version of this book was funder by the Spencer Foundation and WT Grant Foundation.
