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Lecture Outline Extra Credit experiment Stereotypes defined Diagnostic ratio revisited Origins of stereotypes Models of stereotype change/maintenance – PowerPoint PPT presentation

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Title: Lecture Outline


1
Lecture Outline
  • Extra Credit experiment
  • Stereotypes defined
  • Diagnostic ratio revisited
  • Origins of stereotypes
  • Models of stereotype change/maintenance
  • Prejudice defined

2
Ashmore Del Boca (1981) A stereotypes
is... A set of beliefs about the personal
attributes of a group of people
3
Ashmore Del Boca (1981)
Limitation Many attributes are perceived as
typical of a group and yet are not part of
peoples stereotypes
4
Stereotypes include attributes that are perceived
as TYPICAL and DISTINGUISH BETWEEN GROUPS
5
Diagnostic Ratio
  • DR of group (with attribute)
  • of reference (with attribute)

6
Diagnostic Ratio
  • When DR 1 (or close to 1), attribute does not
    distinguish between groups
  • attribute not part of stereotype

7
Diagnostic Ratio
  • When DR substantially gt than 1
  • attribute distinguishes between groups
  • attribute is stereotypic of group

8
Diagnostic Ratio
  • When DR substantially lt than 1
  • attribute distinguishes between groups
  • attribute is counterstereotypic of group

9
McCauley Stitt (1978)
  • Purpose
  • 1. Show utility of DR
  • 2. Measure (in)accuracy of stereotype about
    African Americans

10
McCauley Stitt (1978)
  • Sampled five groups
  • Created DRs based on perceptions of African
    Americans and Americans
  • Created criterion DRs based on census information

11
Results McCauley Stitt (1978)
  • Attribute Criteria HS College Union
    Choir SW
  • HS .65 (.68) (.73) (.67)
    (.68) (.60)
  • Illegitimate 3.10 (1.80) (1.70) (2.10)
    (1.90) (2.30)
  • Unemployed 1.90 (1.90) (1.60) (1.80)
    (2.60) (2.30)
  • Victims 1.50 .83 (1.80) (2.00)
    1.50 2.30
  • Welfare 4.60 (2.30) (1.90) (1.60)
    (1.80) 1.40
  • Kids 1.90 (1.60) (1.40) 1.60
    (1.30) (1.30)
  • Female head 2.80 (1.70) (1.90) (1.70)
    (1.50) (1.70)
  • (Green) DRs different from 1 (p lt .05) n 30
  • Black DRs not different from 1 (p gt .05) n 5
  • Underlined DRs different from criteria (p lt
    .05) n 16

76
12
Results McCauley Stitt (1978)
  • Attribute Criteria HS College Union
    Choir SW
  • HS .65 (.68) (.73) (.67)
    (.68) (.60)
  • Illegitimate 3.10 (1.80) (1.70) (2.10)
    (1.90) (2.30)
  • Unemployed 1.90 (1.90) (1.60) (1.80)
    (2.60) (2.30)
  • Victims 1.50 .83 (1.80) (2.00)
    1.50 2.30
  • Welfare 4.60 (2.30) (1.90) (1.60)
    (1.80) 1.40
  • Kids 1.90 (1.60) (1.40) 1.60
    (1.30) (1.30)
  • Female head 2.80 (1.70) (1.90) (1.70)
    (1.50) (1.70)

Most DRs different from one (green) People
held stereotype of African Americans
77
13
Results McCauley Stitt (1978)
  • Attribute Criteria HS College Union
    Choir SW
  • HS .65 (.68) (.73) (.67)
    (.68) (.60)
  • Illegitimate 3.10 (1.80) (1.70) (2.10)
    (1.90) (2.30)
  • Unemployed 1.90 (1.90) (1.60) (1.80)
    (2.60) (2.30)
  • Victims 1.50 .83 (1.80) (2.00)
    1.50 2.30
  • Welfare 4.60 (2.30) (1.90) (1.60)
    (1.80) 1.40
  • Kids 1.90 (1.60) (1.40) 1.60
    (1.30) (1.30)
  • Female head 2.80 (1.70) (1.90) (1.70)
    (1.50) (1.70)

Some DRs different from criteria underlined.
Other DRs not different from criteria not
underlined Peoples stereotypes were both
inaccurate underlined and accurate not
underlined
78
14
Results McCauley Stitt (1978)
  • Attribute Criteria HS College Union
    Choir SW
  • HS .65 (.68) (.73) (.67)
    (.68) (.60)
  • Illegitimate 3.10 (1.80) (1.70) (2.10)
    (1.90) (2.30)
  • Unemployed 1.90 (1.90) (1.60) (1.80)
    (2.60) (2.30)
  • Victims 1.50 .83 (1.80) (2.00)
    1.50 2.30
  • Welfare 4.60 (2.30) (1.90) (1.60)
    (1.80) 1.40
  • Kids 1.90 (1.60) (1.40) 1.60
    (1.30) (1.30)
  • Female head 2.80 (1.70) (1.90) (1.70)
    (1.50) (1.70)

When DRs indicated inaccurate stereotype
underlined, difference was smaller than
criteria Peoples stereotypes underestimated
real differences. They did not exaggerate real
differences
79
15
McCauley Stitt (1978) Summary
  • People endorsed a stereotype of AA
  • most DRs different than 1
  • AA stereotype was accurate inaccurate
  • some DRs different from criteria (inaccurate)
  • other DRs not different from criteria (accurate)
  • AA stereotype underestimated real difference
  • when DR different from criteria, it was smaller

16
Origin of StereotypesWhere do they come from?
  • Socio-cultural perspective
  • Kernel of Truth hypothesis
  • Illusory correlations

17
Socio-Cultural Perspective
  • Premise Individuals are socialized into a
    particular culture
  • (e.g., media or significant others)

18
Socio-Cultural Perspective
  • 1. People are born into a culture
  • 2. People are rewarded/punished for their
  • beliefs, values, behaviors
  • 3. People act in accord with norms
  • 4. People internalize norms
  • 5. Internalization perpetuates the norms

19
Socio-Cultural Perspective
  • Two versions of socio-cultural view
  • Structuralist-Functionalist
  • Conflict theory

20
Structuralist-Functionalist Version
  • A single culture accepted throughout a society
  • i.e., individuals in a society are similar
  • in their beliefs, values and behaviors

21
Structuralist-Functionalist Version
  • Function of stereotypes
  • stereotypes communicate expected behavior
  • stereotypes communicate how different people
    should be treated

22
Structuralist-Functionalist Version
  • More evident in more homogeneous
  • and collectivist societies

23
Conflict Theory Version
  • Multiple subcultures within society
  • People accept norms of their subculture

24
Conflict Theory Version
  • People within a subculture are similar in their
    beliefs, values, behaviors
  • People in different subcultures are different in
    their beliefs, values, behaviors
  • The more different two subcultures, the greater
    the conflict in their beliefs, values, behaviors

25
Conflict Theory Version
  • Function of stereotypes
  • stereotypes justify prejudice
  • incompetence justifies lower pay
  • laziness justifies poverty

26
Conflict Theory Version
More evident in more heterogeneous societies
27
Kernel of Truth Hypothesis
  • Premise Stereotypes are exaggerations that exist
    in some measure in a group

28
Kernel of Truth Hypothesis
  • 1. The larger a real difference between groups,
    the more likely the attribute will be in the
    stereotype
  • Example Circumscribing and non-circumscribing
    tribes

29
Kernel of Truth Hypothesis
  • 2. Stereotypes become more accurate as contact
    between groups increases
  • Example women/men v.s. African Americans/Whites

30
Kernel of Truth Hypothesis
  • 3. Behaviors punished in one group, but not in
    another, tend to be in a stereotype
  • Example nudity and bathroom practices

31
Kernel of Truth Hypothesis
  • 4. Similar behaviors that groups perform in
    different situations tend to be in stereotypes,
    but connote different valences.
  • Example...

32
Kernel of Truth Hypothesis
  • We are loyal.
  • We are brave and progressive.
  • We are thrifty.
  • They are clannish.
  • They are aggressive and expansionistic.
  • They are cheap.

33
Kernel of Truth
  • Cautionary Statements
  • Perceived differences are not veridical
  • Perceived differences are exaggerated
  • Perceived differences reflect social factors, not
    genetic differences

34
Illusory Correlations
  • Definition People overestimate how strongly two
    things are related
  • (e.g., arthritis pain and changes in the weather)

35
  • Illusory correlations stereotype formation
  • People associate a group with an attribute
    (African Americans crime)
  • Cognitive biases corroborate the perceived
    association
  • confirmation biases in hypothesis testing
  • remember consistent information better

36
Illusory Correlation
  • People most susceptible to illusory correlations
    when
  • group is relatively small
  • attribute is rare in population

37
Illusory CorrelationExample
  • African Americans are a minority in the US.
    Whites are the majority
  • Being a media superstar is rare
  • Illusory correlation likely
  • More AA (small group) superstars (rare event)
    than White (large group) superstars (rare event)

38
Illusory Correlation
  • Negative behavior more rare than positive
    behavior
  • Implication
  • Negative behavior by minority more memorable and
    salient than same behavior by majority
  • Negative behavior becomes part of stereotype of
    minority

39
Stereotype Change
  • Consensual stereotypes change over time, across
    individuals.
  • Very little known about stereotype change over
    time, within individuals (see Weber Crocker,
    1983, for an exception)

40
Models of Stereotype Change
  • Bookkeeping Model
  • Conversion Model
  • Subtyping Model
  • Focus on stereotype-inconsistent information

41
Bookkeeping Model
  • Stereotype change is incremental
  • Each instance of inconsistent information
    modifies the stereotype
  • Single instance small change
  • Accumulation large change

42
Bookkeeping Model
  • Implication
  • Stereotype change will be similar regardless of
    whether inconsistent information is concentrated
    or dispersed. Amount (not dispersion) matters.

43
Conversion Model
  • Stereotype change is dramatic
  • Stereotypes change in response to large and
    salient inconsistent info.
  • Stereotypes remain unchanged by minor
    inconsistent information

44
Conversion Model
  • Implication
  • Stereotype change will be greater when
    inconsistent information is concentrated v.s.
    dispersed

45
Subtyping Model
  • Stereotypes hierarchically structured
  • Rare, inconsistent instances lead to creation of
    subtypes.
  • Instances regarded as exceptions
  • Stereotype protected from change
  • Common, inconsistent instances result in
    stereotype change

46
Subtyping Model
  • Implication
  • Stereotype change will be greater when
    inconsistent information is dispersed v.s.
    concentrated

47
Weber Crocker (1983)
  • Purpose
  • Tested the three models of stereotype change

48
Weber Crocker (1983)
  • Procedure
  • Given information about corporate lawyers
  • Rated each lawyer on stereotypic traits

49
Weber Crocker (1983)
  • Manipulations
  • Dispersion of Inconsistent info
  • Dispersed across all members
  • Concentrated in 1/3 of members
  • Group size
  • 6 members v.s. 30 members
  • Amount of inconsistent info higher in larger group

50
Weber Crocker (1983)
  • Predictions
  • Dispersion has no effect on stereotype change,
    but amount does (bookkeeping)
  • Stereotype change greater when inconsistent info
    concentrated (conversion)
  • Stereotype change greater when when inconsistent
    info dispersed (subtyping)

51
Weber Crocker (1983)
  • Operationalization of Stereotype Change
  • More change lower stereotypic judgments
  • Less change higher stereotypic judgments

52
Weber Crocker (1983)Effect of Dispersion
Which stereotype change model does this result
support?
Subtyping Model
53
Weber Crocker (1983)Effect of Group Size
Which stereotype change model does this result
support?
Bookkeeping Model
54
Weber Crocker (1983)
  • Supported subtyping model
  • stereotype change gt dispersed
  • Supported bookkeeping model
  • stereotype change gt large group

55
Stereotype Maintenance
  • Subtyping Model
  • Subtypes help to maintain stereotype
  • Cognitive Biases
  • Better memory for stereotype-consistent
    information
  • Confirmation biases in hypothesis testing

56
  • Cognitive Biases
  • Cognitive biases maintain stereotype by
    increasing confidence in the stereotypes accuracy

57
Cohen (1981)
  • 96 participants watched video of a librarian or
    waitress and her husband
  • Some attributes fit stereotype of librarian or
    waitresses (see next slide for examples), others
    did not
  • Recalled as many of the womans attributes as
    they could

58
  • Example of womans attributes
  • Half fit stereotype of librarians
  • wore glasses
  • ate roast beef
  • Half fit stereotype of waitresses
  • affectionate with husband
  • ate hamburger

59
Cohen (1981)
Conclusion Better recall for stereotype-consisten
t information
60
Confirmation Biases in Hypothesis Testing
  • Definition Search for information that confirms
    ones expectations (stereotype)

61
Snyder and colleagues
  • Through series of studies showed that people
    engage in this bias
  • Example...

62
Snyder and colleagues
  • Told participants they would interview another
    individual
  • Told to figure out if other person was
    introverted or extroverted (initial hypothesis)
  • Given suggested questions to ask
  • 1/2 introverted 1/2 extroverted..

63
Example questions
  • Introverted
  • What factors make it hard for you to really open
    up to people?
  • Extroverted
  • What kind of situations do you seek out if you
    want to meet new people?

64
Snyder Colleagues
  • Results
  • Participants preferentially chose to ask
    questions that would confirm their initial
    hypothesis

65
Prejudice
  • Definition of Prejudice
  • A positive or negative attitude, judgment or
    feeling about a person that is generalized from
    attitudes or beliefs held about the group to
    which the person belongs.

66
Prejudice
  • Negative forms of prejudice studied more because
    has greatest potential to create social problems
  • Cautionary statement preferential treatment
    (positive prejudice) can also cause problems

67
Zanna (1994)
  • Purpose
  • Demonstrate that prejudice is made up of
    different components
  • Correlated prejudice scores with three proposed
    components of prejudice

68
Zanna (1994)
  • Components of prejudice
  • Stereotypic beliefs typical attributes
  • Symbolic beliefs values, traditions, customs
  • Emotions affective reactions (e.g., disgust)

69
Zanna (1994)
  • Procedure
  • 1) Participants indicated their stereotypic
    beliefs, symbolic beliefs, and emotions about
    these social groups
  • English Canadian (ingroup)
  • French Canadian
  • Native Indian
  • Pakistani
  • Homosexual

70
Zanna (1994)
  • Procedure continued
  • 2) Participants rated how favorable each group
    was (i.e., prejudice)

71
Zanna (1994)
  • Results
  • 1) On average, prejudice correlated positively
    with each component (all ps lt .05)
  • 2) But, correlations varied by target group.

72
Zanna (1994)Correlation between prejudice and
components of prejudice
Zanna (1994)Correlation between prejudice and
components of prejudice by group
72
73
Result 1 weakest correlation b/t prejudice and
components for English Canadians overall
73
74
Result 2 strongest correlation b/t prejudice and
components for French Canadians overall
74
75
Result 3 prejudice correlated with stereotypic
beliefs most strongly for French Canadian and
Homosexual
75
76
Result 4 prejudice correlated with symbolic
beliefs most strongly for French Canadian
76
77
Result 5 prejudice correlated with emotion most
strongly for Pakistani
77
78
Zanna (1994)
  • Conclusions
  • Prejudice consists of at least three components
  • stereotypic beliefs
  • symbolic beliefs
  • emotion
  • The components most central to prejudice varies
    across groups
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