Understanding intergroup conflict has been a priority from the start of social psychology, in the aftermath of World War II. This week, we are exploring how prejudice emerges, how it shapes relationships between groups on many levels and it can be reduced.
This week's lecture is split into four parts, that you should watch in order. In between, there are a couple of questions that will allow you to reflect on the content and make sure you have understood the main points.
You can download the lecture slides here
r video_code("QQeC6n2mtsk")
Before you move on, take a moment to reflect on the content of the video and answer the following questions:
r mcq(c("fair and welcoming", answer = "positively distinct", "dominant and powerful"))
r mcq(c(answer = "affect", "behaviour", "cognition"))
r mcq(c("affect", "behaviour", answer = "cognition"))
r mcq(c("affect", answer = "behaviour", "cognition"))
r hide("View answer")
The tendency to use availability - the ease with which one can bring to mind exemplars of an event - as a way to estimate the probability or frequency of that event.
r unhide()
r video_code("dCSQwC6Zcmk")
r fitb("cognitive dissonance", ignore_case = TRUE)
r mcq(c("allows them to test and develop their beliefs", answer = "confirms their belief", "has the highest quality"))
r hide("View test")
r unhide()
r video_code("n82z9C55JeI")
r video_code("-njSO-fsszc")
Can you think of any personal examples where some kind of intergroup contact changed your attitudes? If so, how did that change come about?
True or false: telling people to ignore group memberships in evaluating individuals (i.e. to be 'colour-blind') leads to better intergroup outcomes than promoting multiculturalism. r torf(FALSE)
* What is a meta-analysis? Think about the answer before viewing it.
r hide("View answer")
A study that collects all research (ideally published and unpublished) on a given topic and then statistically combines their results. This gives us the best evidence whether there really is an effect and how strong the effect is likely to be, because random error and variation across studies should cancel out.
r unhide()
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