In this episode of the Crime Lab COACH Cast, John Collins discusses the subject of implicit bias and explains why bias is not - and should not - be the focus of our attention.
References
- Greenwald, A. G., Banaji, M. R., & Nosek, B. A. (2015). Statistically small effects of the Implicit Association Test can have societally large effects. Journal of Personality and Social Psychology, 108(4), 553-561. https://doi.org/10.1037/pspa0000016
- Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., & Tetlock, P. E. (2015). Predicting ethnic and racial discrimination: A meta-analysis of IAT criterion studies. Journal of Personality and Social Psychology, 108(4), 562-584. https://doi.org/10.1037/pspa0000010
- Nosek, B. A., & Smyth, F. L. (2007). A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Experimental Psychology, 54(1), 14-29. https://doi.org/10.1027/1618-3169.54.1.14
- Blanton, H., Jaccard, J., González, P., & Christie, C. (2006). Decoding the Implicit Association Test: Implications for criterion prediction. Journal of Experimental Social Psychology, 42(2), 192-212. https://doi.org/10.1016/j.jesp.2005.04.004
- Lane, K. A., Banaji, M. R., Nosek, B. A., & Greenwald, A. G. (2007). Understanding and using the Implicit Association Test: IV. What we know (so far). In B. Wittenbrink & N. Schwarz (Eds.), Implicit measures of attitudes: Procedures and controversies (pp. 59-102). Guilford Press.
Please note that this is not an exhaustive list of studies and reviews related to IATs, and there may be other studies with different findings or perspectives on this topic.
