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White Logic, White Methods: Racism and Methodology

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In this collection of essays, the authors examine how racial considerations have affected the way social science is conducted; how issues are framed, and data is analyzed. With an assemblage of leading scholars, White Logic, White Methods explores the possibilities and necessary dethroning of current social research practices, and demands a complete overhaul of current met In this collection of essays, the authors examine how racial considerations have affected the way social science is conducted; how issues are framed, and data is analyzed. With an assemblage of leading scholars, White Logic, White Methods explores the possibilities and necessary dethroning of current social research practices, and demands a complete overhaul of current methods, towards multicultural and pluralist approach to what we know, think, and question.


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In this collection of essays, the authors examine how racial considerations have affected the way social science is conducted; how issues are framed, and data is analyzed. With an assemblage of leading scholars, White Logic, White Methods explores the possibilities and necessary dethroning of current social research practices, and demands a complete overhaul of current met In this collection of essays, the authors examine how racial considerations have affected the way social science is conducted; how issues are framed, and data is analyzed. With an assemblage of leading scholars, White Logic, White Methods explores the possibilities and necessary dethroning of current social research practices, and demands a complete overhaul of current methods, towards multicultural and pluralist approach to what we know, think, and question.

30 review for White Logic, White Methods: Racism and Methodology

  1. 5 out of 5

    Abby Suzanne

    I've taken at least 12 statistics classes in my higher education career, and never once did I read White Logic, White Methods. I read this book slowly, a couple of chapters at a time, in an attempt to take it all in and really learn how I can change my research practices. I expected the book to be all about how race variables are bad because race isn't really something that can be captured in distinct, fixed categories required by categorical variables, and quantitative research shouldn't really I've taken at least 12 statistics classes in my higher education career, and never once did I read White Logic, White Methods. I read this book slowly, a couple of chapters at a time, in an attempt to take it all in and really learn how I can change my research practices. I expected the book to be all about how race variables are bad because race isn't really something that can be captured in distinct, fixed categories required by categorical variables, and quantitative research shouldn't really be done because of this. I was pretty much totally wrong. Yes, the book definitely discussed the problems with measuring race, but for the most part the book acknowledged these problems- and the problems in quantitative methodologies, their basis in eugenics and their history of racism and perpetuating racist systems and ideas- and then discussed how quantitative researchers can and should do research on race. My biggest takeaways for my personal work: 1.) Race is not a control variable. Race is a socially constructed context that influences processes, experiences, etc. Moderation is key. 2.) Race should always be interpreted, because not interpreting race when it's included in statistical models and allowing others to interpret as they choose perpetuates racist interpretations and racist ideas. 3.) Race effects should be explicitly interpreted as the effects of racial bias- rather than just writing "being black is associated with a X unit increase in Y outcome", the meaning of this association should be interpreted in light of social structures and oppression. For my work specifically, this will usually mean being explicit and detailed about bias in agents/institutions of social control in my discussion of the association between race and some kind of externally-imposed punishment. For behavioral research, this means being explicit in discussing how social context, opportunities, expectations, social control, etc., shape behavior, limit choices, etc. 4.) Be robust in your inclusion of control variables, so for me, this means if I'm including race and looking at the association between race and the application of some sanction, I should be including measures of individual behavior, derived from multiple reporters including self-reports, and running moderation tests. Because if you're not including lots of controls, you may falsely attribute variation in some outcome to race (as has happened in a huge bulk of social science research), and you'll weaken your interpretations of race association as the consequences of racial bias.

  2. 5 out of 5

    Erin

    Some interesting perspectives and points for researchers to consider.

  3. 5 out of 5

    Katy

    Fascinating and a must-read for those engaged in research, public policy, and academia.

  4. 4 out of 5

    Jewel

    Good read!

  5. 4 out of 5

    Wendy

  6. 4 out of 5

    John

  7. 4 out of 5

    Kareem Manuel

  8. 4 out of 5

    Maria Krol-Sinclair

  9. 4 out of 5

    AJ

  10. 4 out of 5

    Sara

  11. 4 out of 5

    Lauralea

  12. 4 out of 5

    C

  13. 4 out of 5

    Elizabeth Otwell

  14. 5 out of 5

    Kristina

  15. 5 out of 5

    Mari McD

  16. 4 out of 5

    Molly

  17. 5 out of 5

    Lourdes Vera

  18. 5 out of 5

    Mari Gray

  19. 4 out of 5

    Ashley

  20. 4 out of 5

    Allan

  21. 4 out of 5

    Kelli Rushek

  22. 4 out of 5

    CJ Venable

  23. 5 out of 5

    Kate Watson

  24. 4 out of 5

    Shay Akil McLean

  25. 5 out of 5

    Howard Bannister

  26. 5 out of 5

    Walker

  27. 5 out of 5

    Tiff

  28. 4 out of 5

    Dana villalobos

  29. 4 out of 5

    Rook

  30. 5 out of 5

    Alexis Hernandez

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