The existence of implicit bias is beyond reasonable doubt: A refutation of ideological and methodological objections and executive summary of ten studies that no manager should ignore
By John T. Jost, Laurie A. Rudman, Irene V. Blair, D. Carney, Nilanjana Dasgupta, Jack Glaser, Curtis D. Hardin. 2009
319 citations recorded by the source corpus.
Subfields: Gender Studies, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/cde77fdb59ce21432b69b362dc85e0ab9e975b51
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
- Daniel J. Lee
- Mel Slater
- John F. Dovidio
- S. Hurst
- Brian A. Nosek
- Chloë Fitzgerald
- Suzanne R Horwitz
- John T. Jost
In Sociology and Political Science
- John F. Dovidio
- Daniel J. Lee
- Suzanne R Horwitz
- Calvin K. Lai
- Mel Slater
- Domna Banakou
- Jack Glaser
- Kelly M. Hoffman
Citations in the corpus
- Reducing Implicit Prejudice (2013, background): “Substantial correlational evidence demonstrates that implicit prejudice predicts discriminatory behavior (Greenwald et al., 2009; Jost et al., 2009), and a few studies have found evidence for interventions that were effective at changing both implicit prejudice and discrimination concurrently…”
- Responsibility for implicit bias (2012, unknown): “2 For debate over how likely this is, see Jost et al., 2009; Greenwald, Poehlman, Uhlmann, & Banagi, 2009; and Oswald, Mitchel, Blanton, Jaccard, & Tetlock, 2013.”
- Implicit Bias and Policing (2016, background): “…of the cognitive theory behind implicit associations (e.g., Greenwald & Banaji, 1995), the psychometric reliability of the measurement methods (Bar-Anan & Nosek, 2014), and the predictive validity of implicit bias measures for organizationally relevant behaviors (e.g., Jost et al., 2009).”
- Virtual Embodiment of White People in a Black Virtual Body Leads to a Sustained Reduction in Their Implicit Racial Bias (2016, background): “Even though the use and interpretation of the IATmay be controversial there is significant evidence of its explanatory and predictive power (Jost et al., 2009).”
- The Assessment of Research Quality in UK Universities: Peer Review or Metrics? (2011, unknown): “In other words, individual departments may benefit from a ‘halo effect’ independent of the quality of their research output due to the presence of implicit bias in organizational decision-making (Jost et al., 2009; Nisbett and Wilson, 1977; Reich et al., 2007; Wilson et al., 1993).”
- The rich—love them or hate them? Divergent implicit and explicit attitudes toward the wealthy (2017, background): “As work in other domains has shown that implicit bias influences social judgments in many domains, such as healthcare, and hiring (Jost et al., 2009), we should be aware that the implicit wealth bias identified here likely has the potential to influence judgments in many domains as well.”
- Implicit bias in healthcare professionals: a systematic review (2017, background): “Other biases tested include gender, ethnicity, nationality and sexual orientation; there is evidence that these implicit attitudes are widespread among the population worldwide and influence behaviour outside the laboratory [6, 7].”
- Implicit race attitudes predict trustworthiness judgments and economic trust decisions (2011, unknown): “Recent work on measures of implicit biases has shown that they are pervasive and robust (14) and that they can predict social behaviors (15, 16), including the decisions of highly trained professionals, such as doctors (12, 17).”
- Teaching Who You Are: Connecting Teachers’ Civic Education Ideology to Instructional Strategies (2018, background): “Political science scholarship has demonstrated that these assumptions guide individuals’ decision making and moral judgments (Graham, Haidt, & Nosek, 2009; Haidt & Joseph, 2007; Jost et al., 2009).”