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Background- social cognition
Walter Lippmann (1922)
limited information processing capacity in humans
we avoid information overload by:
summarising information
selecting information
generalising- avoiding detailed info
these form the hallmarks for stereotyping!
paradigm shift
1970’s cognitive psychologists turn to social phenomena
basic premise:
people are ‘cognitive misers’
faulty information processing due to limited capacity
aim of social cognition
social phenomena can be explained without political and sociological theories but with social cognition instead
stripped back to the smallest unit of the brain and perception system
questions surrounding stereotypes
why are there so many negative views of ethic minorities?
why do so many different people share the same negative views?
could it be the same cognitive mechanism?
what did Hamilton and Gifford suggest
as a consequence of the need to simplify, we only pay attention to the things that demand attention
some things grab our attention by being distinctive
distinctive is often novel and rare (rather than common)
statistical infrequency may bias thinking by creating distinctiveness
if you combine novelty and rarity create
illusory correlation
Loren & Jean Chapman (1967) first use of this term
refers to unrelated clinical concepts that are seen as related because they were expected to relate to each other (self-fulfilling prophecy)
how did Hamilton and Gifford use this concept
not creating it, you are noticing it
minority groups are, by definition rare (statistically speaking)
undesirable behaviour is distinct (outside the social norms= rare)
negative behaviour by minority groups is doubly distinct and particularly attention grabbing
→ more likely to remember these two things together
attention grabbing information gets stored in memory
The study (1)- design
39 statements that described positive or negaitve behaviours shown by group A or group B
told: ‘as in the real world, group B is smaller than group A, so there will be fewer statements about group B’
26 statements about group A, 13 about group B
27 statements about positive behaviour, 12 about negative behaviour
9:4 ratio desirable: undesirable fro both groups
prediction for study 1
rare/distinct characteristics better remembered
minority members of group B are rare (13 vs 26)
undesirable behaviour is more distinct (12 vs 27 statements)
so the following hypothesis derived → participants rate group B more negatively than group A, despite the ratio desirable : undesirable being the same
= illusory correlation
what did they measure?
assignment task- all 39 behaviours are presented and participants asked to say whether the behaviour was shown by a member of group A or B
frequency estimation- how many negative behaviours performed by group A and B
correlation coefficient >0 → illusory correlation
trait ratings- group A and B are rated in a number of trait dimensions (e.g. popularity, intelligence)
1 & 2 test memory, 3 measures stereotype judgement
findings
assignment estimates:
Group A:
correct for desirable
underestimate undesirable- actual → 8, estimate → 5.79
Group B:
correct for desirable
overestimate undesirable- actual → 4, estimate → 6.21
frequency estimates:
Group A → correct
Group B → underestimate desirable and overestimate undesirable
study 2
switched the desirable behaviour and undesirable behaviour frequency
testing the novelty and rarity hypothesis or whether its just more interesting
findings for study 2
same results:
desirable behaviour is underestimated in group A (5.87, actual 8) and overestimated in group B (6.13, actual 4)
shows statistically infrequent behaviour is more frequently remembered for the minority group, not just the behaviour
illusory correlation is due to rarity, not desirability!!
Debate and controversy- explaining stereotypes
illusory correlations do not explain stereotypes in real life (lack external validity)
stereotypes are often very specific rather than a positive/negative evaluation of a group in relation to another group
we often do not encounter groups we know nothing about except what the individual members do
what else can be argued
may be a mere exposure effect (Zajonc, 1968)
grater frequency of group A members leads to familiarity which leads to liking
but this does not explain study 2 findings- when desirable behaviour is rare, group B are perceived as nice
conceptual criticism
distinctiveness may not be the key explanatory feature:
the skewed distribution and the statistical infrequency may explain findings
Fiedler
random information loss likely because of a large number of behaviours that need to be remembered
random information loss will disadvantage small groups
even simpler suggestion to random information loss
Smith (1991)
participants focus on the absolute number creates an overly positive (study 1) or overly negative (study 2) impression
who has the highest number?- group A desirable (1) or undesirable (2)
meaning-based explanation
McGarthy et al (1993)- base don self-categorisation theory
participants will try to find out how the groups differ (find the ‘differentiated meaning’)
we are motivated to distinguish- there is support to see group A as positive (18-8) but not much about group B (9-4)
testing this idea
Haslam et al (1996) replicate the original study except:
method:
participants were told a difference between the group (e.g., A → left-handed vs B → right handed) before the information about behaviour from Hamilton and Gifford’s research
hypothesis:
no illusory correlation because there is no need to differentiate the groups- to motivation to differentiate
result:
no illusory correlation
recap of debate and controversy
lack of external validity (does not explain real life specific stereotypes)
mere exposure (zajonc) (more A= greater familiarity = positive evaluation)
does not explain findings from study 2
random information loss (Fiedler)- skewed distribution and statistical infrequency would disadvantage small groups)
Smith- focus on absolute number (more A= more positive evaluation)
McGarthy SCT- motivated to find the differentiated meaning- try yo distinguish between both groups
haslam replicates and tells participants difference between the groups= no illusory correlation as not trying to find a difference
Impact- follow-up research
White Americans overestimate the arrest rate of African Americans (Hamilton & Sherman, 1996)
explained by:
African Americans= minority group
Arrest rate= rare/distinct
to do with illusory correlation, not prejudice
what else has it had a large impact on
most widely cited account of stereotype formation
explains social phenomenon in simple terms and social context is unnecessary
robust: meta-analysis Mullen & Johnson (1990) shows the effect is robust
Murphy et al (2011)- knowing about illusory correlations can decrease them!!
finally random point
start of cognitive revolution in social psychology
key example of the social-cognitive approach to the study of social phenomena
big impact on how people try to ‘fix’ stereotypes