Description

Book Synopsis

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 (Gillborn et al, 2018). 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 tho

How to QuantCrit

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    £37.99

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    RRP £39.99 – you save £2.00 (5%)

    Order before 4pm tomorrow for delivery by Thu 25 Jun 2026.

    A Paperback by Kamden K. Strunk

    15 in stock


      View other formats and editions of How to QuantCrit by Kamden K. Strunk

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/21/2024
      ISBN13: 9781032552903, 978-1032552903
      ISBN10: 1032552905

      Description

      Book Synopsis

      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 (Gillborn et al, 2018). 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 tho

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