View in EDS

How to 'QuantCrit:' Practices and Questions for Education Data Researchers and Users. EdWorkingPaper No. 22-546

Saved in:
Bibliographic Details
Title: How to 'QuantCrit:' Practices and Questions for Education Data Researchers and Users. EdWorkingPaper No. 22-546
Language: English
Authors: Wendy Castillo, David Gillborn, Annenberg Institute for School Reform at Brown University
Source: Annenberg Institute for School Reform at Brown University. 2023.
Availability: Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/
Peer Reviewed: N
Page Count: 20
Publication Date: 2023
Document Type: Reports - Descriptive
Descriptors: Educational Research, Data Use, Educational Researchers, Interdisciplinary Approach, Statistical Data, Barriers, Literature, Medicine, Teaching Methods, Racial Factors, Statistical Analysis, Research Design, Experimenter Characteristics, Bias, Social Justice, Equal Education
Abstract: 'QuantCrit' (Quantitative Critical Race Theory) is a rapidly developing approach that seeks to challenge and improve the use of statistical data in social research by applying the insights of Critical Race Theory. As originally formulated, QuantCrit rests on five principles; 1) the centrality of racism; 2) numbers are not neutral; 3) categories are not natural; 4) voice and insight (data cannot 'speak for itself); and 5) a social justice/equity orientation (Gillborn et al, 2018). The approach has quickly developed an international and interdisciplinary character, including applications in medicine (Gerido, 2020) and literature (Hammond, 2019). Simultaneously, there has been ferocious criticism from detractors outraged by the suggestion that numbers are anything other than objective and scientific (Airaksinen, 2018). In this context it is vital that the approach establishes some common understandings about good practice; in order to sustain rigor, make QuantCrit accessible to academics, practioners, and policymakers alike, and resist widespread attempts to over-simplify and pillory. This paper is intended to advance an iterative process of expanding and clarifying how to 'QuantCrit'.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED672027
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED672027
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED672027
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: How to 'QuantCrit:' Practices and Questions for Education Data Researchers and Users. EdWorkingPaper No. 22-546
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wendy+Castillo%22">Wendy Castillo</searchLink><br /><searchLink fieldCode="AR" term="%22David+Gillborn%22">David Gillborn</searchLink><br /><searchLink fieldCode="AR" term="%22Annenberg+Institute+for+School+Reform+at+Brown+University%22">Annenberg Institute for School Reform at Brown University</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Annenberg+Institute+for+School+Reform+at+Brown+University%22"><i>Annenberg Institute for School Reform at Brown University</i></searchLink>. 2023.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 20
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2023
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Descriptive
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Researchers%22">Educational Researchers</searchLink><br /><searchLink fieldCode="DE" term="%22Interdisciplinary+Approach%22">Interdisciplinary Approach</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Data%22">Statistical Data</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Literature%22">Literature</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine%22">Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Racial+Factors%22">Racial Factors</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Design%22">Research Design</searchLink><br /><searchLink fieldCode="DE" term="%22Experimenter+Characteristics%22">Experimenter Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Bias%22">Bias</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Justice%22">Social Justice</searchLink><br /><searchLink fieldCode="DE" term="%22Equal+Education%22">Equal Education</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 'QuantCrit' (Quantitative Critical Race Theory) is a rapidly developing approach that seeks to challenge and improve the use of statistical data in social research by applying the insights of Critical Race Theory. As originally formulated, QuantCrit rests on five principles; 1) the centrality of racism; 2) numbers are not neutral; 3) categories are not natural; 4) voice and insight (data cannot 'speak for itself); and 5) a social justice/equity orientation (Gillborn et al, 2018). The approach has quickly developed an international and interdisciplinary character, including applications in medicine (Gerido, 2020) and literature (Hammond, 2019). Simultaneously, there has been ferocious criticism from detractors outraged by the suggestion that numbers are anything other than objective and scientific (Airaksinen, 2018). In this context it is vital that the approach establishes some common understandings about good practice; in order to sustain rigor, make QuantCrit accessible to academics, practioners, and policymakers alike, and resist widespread attempts to over-simplify and pillory. This paper is intended to advance an iterative process of expanding and clarifying how to 'QuantCrit'.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED672027
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED672027
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
    Subjects:
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Educational Researchers
        Type: general
      – SubjectFull: Interdisciplinary Approach
        Type: general
      – SubjectFull: Statistical Data
        Type: general
      – SubjectFull: Barriers
        Type: general
      – SubjectFull: Literature
        Type: general
      – SubjectFull: Medicine
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Racial Factors
        Type: general
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Research Design
        Type: general
      – SubjectFull: Experimenter Characteristics
        Type: general
      – SubjectFull: Bias
        Type: general
      – SubjectFull: Social Justice
        Type: general
      – SubjectFull: Equal Education
        Type: general
    Titles:
      – TitleFull: How to 'QuantCrit:' Practices and Questions for Education Data Researchers and Users. EdWorkingPaper No. 22-546
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Annenberg Institute for School Reform at Brown University
      – PersonEntity:
          Name:
            NameFull: Wendy Castillo
      – PersonEntity:
          Name:
            NameFull: David Gillborn
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2023
          Titles:
            – TitleFull: Annenberg Institute for School Reform at Brown University
              Type: main
ResultId 1