How to QuantCrit Applying Critical Race Theory to Quantitative Data in Education

• Main Authors: Castillo, Wendy, Strunk, Kamden K
• Format: eBook
• Language: English
• Published: Oxford Taylor & Francis 2025
• Subjects: bias; critical race theory; data analysis; data collection; Education; educational research; equity; Ethnic studies; eugenics; Methodology; Philosophy and theory of education; Psychological methodology; Psychology; quantcrit; quantitative data; Quantitative research; racism; Reference, Information and Interdisciplinary subjects; Research and information: general; Research methods: general; Social groups, communities and identities; social justice; Social Science; Society and culture: general; Society and Social Sciences; Sociology; Sociology and anthropology; white supremacy
• ISBN: 1032552905; 9781040227039; 9781003429968; 9781040226971; 9781032552897; 1032552891; 9781032552903; 1040227031; 1003429963; 1040226973
• DOI: 10.4324/9781003429968

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.