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Avoiding Bias in the Search for Implicit Bias

Cyrus-Lai, Wilson (author)
INSEAD (FR)
Warren, Tierney (author)
INSEAD (FR)
Plessis, Christilene du (author)
Rotterdam School of Management (NL)
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Nguyen, Huong (author)
Stockholm School of Economics,Handelshögskolan i Stockholm
Schaerer, Michael (author)
INSEAD (FR)
Clemente, Elena Giulia (author)
Swedish House of Finance
Uhlmann, Eric Luis (author)
INSEAD (FR)
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 (creator_code:org_t)
Taylor & Francis Ltd, 2022
2022
English.
In: Psychological Inquiry. - : Taylor & Francis Ltd. - 1532-7965 .- 1047-840X. ; 33:3, s. 203-212
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • To revitalize the study of unconscious bias, Gawronski, Ledgerwood, and Eastwick (this issue) propose a paradigm shift away from implicit measures of inter-group attitudes and beliefs. Specifically, researchers should capture discriminatory biases and demonstrate that participants are unaware of the influence of social category cues on their judgments and actions. Individual differences in scores on implicit measures will be useful to predict and better understand implicitly prejudiced behaviors, but the latter should be the collective focus of researchers interested in unconscious biases against social groups.

Subject headings

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Publication and Content Type

art (subject category)
ref (subject category)

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