Implicit stereotyping Flashcards
mindbugs
“…ingrained habits of thought that lead to errors in how we perceive, remember, reason and make decisions” (Banaji & Greenwald, 2013, p. 4)
We see this in the perceptual errors we often make (e.g., visual perception)
We mess up – cognitively – more often than we might like
But we are fundamentally GOOD people, right?
how the IAT works
Your brain stores past experiences of stuff that goes together (e.g., valence)
It’s hard to set aside these associations. When valence is shared (lilac and happy = pleasant) we find the task easy
When it is not (lilac and ugly) it’s more tricky and we slow down (you can FEEL it!)
IATs that followed
Some examples - age, race, gender/careers/educational attainment, weight
reasons to be cautious
Old-fashioned self-report of overtly negative attitudes and the IAT results do not appear to tap same hostility
Initially, no one really knew for sure if those who scored high on IAT were those most likely to engage in racially discriminatory behaviour, but…
what we now know
75% of those who take Race IAT reveal automatic white preference
It has been shown to predict some forms of discriminatory behaviour
do mere associations show up in behaviour? - McConnell and Leibold (2001)
ps videotaped interviewed by either black or white woman (after ps completed race IAT)
Did IAT results predict behaviour toward white interviewer?
Tapes analysed for signs of COMFORT or FRIENDLINESS: smiling, speaking at greater length, laughing, making spontaneous social comments
And also for signs of DISCOMFORT or UNFRIENDLINESS: speech errors, hesitations, seating distance;
Interviewers also provided rating of ps on these
McConnell and Leibold results
Ps with higher level of automatic White preference on race IAT showed less comfort and friendliness when talking with black than white interviewer
more evidence 1
Race IAT result predicted:
- In simulated hiring decision, judging White job applicants more favourably than equally qualified Black applicants (Ziegert and Hanges, 2005)
- ER doctors recommending optimal treatment – thrombolytic therapy – less often for Black than White patient presenting with same acute cardiac symptoms (Green et al., 2007)
- College students being more ready to perceive anger in Black than in White faces (Hugenberg and Bodenhausen, 2003)
more evidence 2
Greenwald et al. (2009) - large meta-analysis (184 studies) – Race IAT clearly predicts racially discriminatory behaviour
And since then…other examples: voting for John McCain rather than Barack Obama**; laughing at anti-black racial humour
But how strong is association? Correlation was 0.24 – medium – explain
But Banaji & Greenwald say – not overt discrimination, so correct answer is IAT does not strictly = prejudice
ways of outsmarting the implicit mindbug
Virtuoso = male: Blind auditions for orchestra applicants (over 20 years proportion of women hired increased from 20-40%)
Academic work: blind marking but…not always possible to do things without knowing other’s identity
We see some of the other methods in the lecture on controlling stereotypes