Course Title: Social Beliefs and Judgements
Week: 18
Instructor: Dr. Jared Piazza
Institution: Lancaster University
What are Schemas?
Cognitive structures that organize knowledge about a stimulus domain.
Role Schemas (stereotypes)
Structure and usage.
Impact on emotions, attention, and memory.
Stability and changeability of stereotypes.
Other Features:
Stereotypes, entitativity, essentialism, prejudice.
External validity of schema-related research.
Forming Judgments:
Heuristics, Attributions, & Explaining the Social World.
Schemas: “...an abstract knowledge structure, stored in memory, that specifies the defining features of some stimulus domain (…) social schemas may be representations of types of people, social roles or events.” (Crocker et al., 1984)
Examples:
Objects (e.g., chairs, cats)
Concepts (e.g., love)
Events (e.g., lectures)
Groups (e.g., liberals, vegans)
Categorisation: Identifying instances of categories based on shared features.
Once activated they facilitate top-down processing – incoming information is interpreted in terms of that schema
Contrasted with “data-driven” or bottom-up processing (Fiske, 1993
Schemas organize our world and thereby shape our expectations about the world
Schemas have “circumscribed accuracy” (Swann, 1984), i.e., they tend to be “typically functional” and “accurate enough” for navigating the world. But they often lead us to make prediction errors, e.g.:
We can miscategorise people (e.g., inferring political orientation from hair style or accent)
Members of a category do not share all the same features, therefore, we underestimate category heterogeneity (e.g., assume Jared is loud, friendly, likes guns and hamburgers because he’s American)
Person Schemas: Traits related to types of individuals (e.g., neurotic).
Event Schemas (Scripts): Expected sequences in distinct situations (e.g., classroom vs. social events).
Self-Schemas: Cognitive representations about oneself based on past experiences.
Role Schemas (Stereotypes): Expectations about social roles based on societal context.
Prototypes: Prototypes are cognitive representations of a category (‘fuzzy set’) – based on collections of instances that share a family resemblance or defining properties (E.g. Spanish women are loud and emotional. They have dark hair and eyes.)
Exemplars: Specific instances representing a category (e.g., a Spanish actress).
Schemas are organized as associative networks
(Wyer & Carlston, 1994)
They involve representational content connected by learned associative links (e.g., men → aggressive; women → emotional)
Cognitive activation can spread through these networks through exposure to relevant stimuli (“priming”)
Priming of a schema shapes both
What we attend to in a social situation
What we remember of that social situation
Categories range from superordinate (broad) to subordinate (specific):
Example: Spanish Women → Specific group categories (e.g., actresses, politicians).
Individuals use intermediate-level categories for balance between inclusivity and exclusivity.
In addition to intermediate-level categories, we tend to use schemas that are:
Cued by easily detected features
skin colour
Dress
Physical appearance
Features that are contextually distinctive
e.g., gender schemas (e.g., “men”) will be less accessible in an “all male” context than a single man in a group of women
Schemas that have a bearing on features that are important to oneself in that context
E.g., if ”race” or “nationality” are important categories, that are salient in memory and habitually used to process person information, then they are likely to be used
Schemas can be “primed” by relevant stimuli, often non-consciously
(Aarts & Dijksterhuis, 2003; Hassin et al., 2007)
If a schema has been used recently, it tends to be more accessible for reuse (Srull & Wyer, 1979, 1980; Todorov & Bargh, 2002)
Primed schemas can influence judgments and behaviors, but enactment can vary.
Activation of a schema (“priming”), whether conscious or non-conscious, does not necessitate enactment of behavioural goals
Unscrambling Task: Participants primed with age-related words led to behaviours indicating aging (e.g., walking slower).
Other age-associated terms used to prime the schema for ‘elderly’, e.g., ‘old’, ‘wise’, ‘retired’, ‘grey’, ‘wrinkles’
Walking slower = schema-congruent behaviour (Bargh et al., 1996)
However: Doyen et al. (2012) failed to replicate the effect
There are replication issues in social priming studies, esp. w/ behavioural outcomes (see also Harris et al., 2013; Pashler et al., 2012, 2013)
Two versions of the video, overall quite similar, but each had some “schema-congruent” and “schema-incongruent” features
Participants learn that the woman is either:
Participants were more likely to remember schema-consistent rather than schema-inconsistent information
E.g., when participants are told that the woman is a librarian they remember her drinking wine, eating salad and wearing glasses (regardless of whether it’s correct)
E.g., when they are told the women is a waitress they are more likely to remember her drinking beer, eating a hamburger and not wearing glasses (regardless of whether it’s correct)
Conclusion: selective processing and retrieval of the scene and details guided by schema (stereotype)
However, findings emerged from meta-analyses provide a more complex picture
Rojahn and Pettigrew (1992) and Stangor and McMillan (1992) found that schema-inconsistent information (e.g., a librarian without glasses!) is sometimes remembered better (because it is novel and distinctive)
Recall and recognition tests (corrected for guessing) suggests schema- inconsistent information is remembered better
Recognition tests (not corrected for guessing) suggests schema-consistent information is remembered better
Be wary of relying on a single method or individual studies! (CWA reminder)
As a set of normative expectations, schemas are inherently evaluative (Fiske, 1982)
I.e., when you encounter someone (Jared), they are immediately compared against the relevant schemas (lecturer, American, man, White, etc.)
This evaluation often generates an affective response
E.g., the stereotype of “tattooed-man” may include associations of aggression and thereby elicit anxiety
E.g., the stereotype of a “senior lecturer at UK university” may include a stuffy, posh accent and thus Jared (lacking this trait) elicits surprise & confusion
They are constructed and develop by direct and indirect experience w/ the social environment (including parents, peers, TV, media, etc.)
Initially, in early childhood, they comprise simple, independent and unintegrated units
e.g., boys wear blue; boys play with guns; boys don’t cry, etc.
With experience (i.e., more instances of a category encountered), schemas become more detailed, integrated and complex (Linville, 1982; Park 1986)
e.g., boys are good at maths, are competitive, play sports, don’t show vulnerability, like eating meat, drink excessively, etc.
They also begin to incorporate exceptions and contradictions
Huston (1983) found gender schemas become less rigid in middle to late childhood (e.g., some boys are not interested in sports, express their emotions, enjoy a good salad, etc.)
Schemas are highly stable and resistant to change; they persist in the face of contradictory evidence (Crocker, Fiske & Taylor, 1984)
Leading us to miscategorise people and underestimate category diversity
However, they can be changed! Rothbart (1981) and Weber and Crocker (1983) identified 3 models of schema change:
Book-keeping – constant updating of the schema over time; accumulating contradictory experience results in gradual change
e.g., encountering more and more boys practicing a vegetarian diet will ”quiet” the association between “boys” →”eat meat”
Conversion – encountering inconsistencies don’t result in change at first, but schemas can change suddenly once a critical mass of disconfirming evidence has accumulated
Subtyping – disconfirming instances are relegated to subtypes of the schema (hierarchically organised) – this tends to preserve the schema
E.g., “Introverted Spanish women”, or “Spanish women without dark hair” get subtyped (i.e., treated as a subordinate category), which results in the “Spanish women” prototype (i.e., central features: outgoing, dark hair) being preserved.
‘School police officer’ encountered as part of a police-school liaison scheme
Used a card-sorting task with school pupils to assess beliefs about 24 authority figures, including this target occupation
‘Foot patrol police officer’, ‘police officer in transit van’ , ‘woman police officer’ and ‘mounted police officer’ were grouped together as having similar characteristics
‘School police officer’ was categorised separately and as having characteristics more in common with ‘teachers’ and ‘social workers’
Arguably, this was evidence for subtyping, i.e., the schema ‘police officer’ was not updated to include a school-based police officer
Under certain conditions, individuals are less likely to use schemas and employ more careful “bottom-up” or data-driven processes
When there are costs of being wrong (Erber & Fiske, 1984; Neuberg & Fiske, 1987)
E.g., when accountable for one’s decision or need to justify one’s actions
When there are NO costs of being indecisive and can take ones time (Jamieson & Zanna, 1989)
E.g., when NOT under time pressure or distracted (Wilder & Shapiro, 1989)
Individual differences in awareness that “stereotyping” (schema use) is often inaccurate and may lead to prejudice
E.g., People more comfortable with uncertainty and cognitive complexity use schemas less (Crockett, 1965; Sorrentino & Roney, 1999)
Entitativity
First introduced by Campbell (1958) refers to the extent to which a social category (e.g., ‘men’) is perceived to be a unified, coherent and meaningful entity
Connected to ‘Psychological Essentialism’ (Medin & Ortony, 1989)
a tendency to believe that social categories have essences, i.e., that they are an immutable ‘natural kind’, rather than being socially constructed (see also Yzerbyt & Rocher, 2002)
Haslam et al. (2000, 2002): Believing that a social category is entitative and essentialised might support prejudice
40 social categories, e.g., age (young, old), gender (male, female), personality (extroverts, introverts) rated on nine elements related to essentialism and entitativity, e.g.:
–Discreteness – ‘Some categories have sharper boundaries than others’
–Uniformity – ‘Some categories contain members who are very similar to one another’
–Informativeness – ‘Some categories allow people to make many judgments about their members’
–Naturalness – ‘Some categories are more natural than others’
–Immutability – ‘Membership in some categories is relatively immutable; it is difficult for category members to become non-members’
–Stability – ‘Some categories are more stable over time than others’
–Inherence – ‘Some categories have an underlying reality; although their members have similarities and differences on the surface, underneath they are basically the same’
Essentialised categories:
i.e., were seen as discrete, natural, immutable, and stable categories with “necessary” features
Included: Gender (e.g., female, male), Ethnicity (e.g., Asian, Hispanic) and Race (e.g., Black, White) exemplified “natural kinds”
Highly entitative categories:
I.e., were seen as uniform, highly informative, and exclusive categories
Included: Politics (e.g., liberal, Republican), Religion (e.g., Catholic, Jew), Sexual orientation (e.g., heterosexual, homosexual)
Essentialism & entitativity in relation to sexism and racial prejudice
Essentialised categories:
‘Black people’ and ‘Women’ exemplified “natural kinds”
However, essentialism ratings were not related to measures of racism or sexism
Highly entitative categories:
‘Gay men’ were seen as an entitative group, i.e., as uniform, highly informative, and an exclusive category
Entitative ratings related to measures of anti-gay attitudes
Gender essentialism involves the view of gender as binary (discrete), natural, and immutable
Might gender essentialism relate to transphobic attitudes?
Sample of 2,281 heterosexual men and women
Measured attitudes towards transgender people, using feeling thermometer, along with sexual-orientation groups (e.g., “bisexual men”), “men in general” and “women in general”
Also measured gender essentialism, political ideology, religiosity, etc.
E.g., “These days there is not enough respect for the natural divisions between the sexes.”
Negative attitudes (thermometer rating) towards transgender people were associated with:
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•Endorsement of gender essentialism and higher political conservatism
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•Conclusion: essentialising social categories (e.g., gender) can sometimes foster prejudice towards individuals that don’t conform to schema-based expectations
Experimental manipulation of racial identity (Black vs. White target) in a ‘shoot/don’t shoot’ task
Time pressure: Participants given 850ms to decide “shoot” or “don’t shoot” (button press)
Four possible types of outcomes:
Hit – shooting an armed person
Miss – not shooting an armed person
False alarm – shooting an unarmed person
Correct rejection – not shooting an unarmed person
Main effect of Object – i.e., more errors in the non-gun condition (false alarms – shooting an unarmed person) than in the gun condition (misses – not shooting an armed person)
Thus, already prone to shoot unarmed persons holding a non-gun object when under time pressure
Interaction between Ethnicity and Object – the tendency to make more false alarms (shoot an unarmed person) than misses (not shoot an armed target) was more pronounced for Black rather than White targets
Note: participants saw the person and the object at exactly the same time; thus, attending only to the object should result in no differences based on Ethnicity
Incorporated stereotype activation – participants read vignettes about Black or White violent criminals prior to the shoot/don’t shoot task
Exposure to stereotype-consistent information emphasising ‘aggressiveness’ of Black criminals (stereotype activation) increased racial bias – more lenient decision criterion for shooting Black targets
Exposure to ‘aggressiveness’ information about White criminals lowered decision criterion for shooting White targets
In this condition, participants were just as likely to shoot White targets as Black targets
First person shooter task (FPST)
Static images (not moving)
Multiple trials in quick succession (more like a video game)
Keyboard button pushing (not pulling trigger)
No social context - no bystanders in images and lone participant
Isolated decision – not part of a dynamic interactional process
Lab-based – safe and consequence free
these studies have limited ecological validity and should be considered as preliminary
Other methods needed to establish convergent validity
Schemas provide for fast, efficient processing:
•Schemas are theory-driven structures – rely on prior knowledge to guide expectations
–May involve prototypes, exemplars, and associative networks; organised hierarchically
•Schemas influence attention/memory, are evaluative and affective, are learned/acquired over time, are BOTH stable and able to change
•Schemas are effort-saving devices – fast, automatic, and “typically functional”; but sometimes problematic, leading to prediction errors and reinforcing prejudices!
–They often involve essentialist notions of “natural kinds”; beliefs about categories being discrete, uniform, natural and immutable, which has been linked to prejudice (e.g., transphobia)
–Schema research has implications for real world issues but ecological limitations must be acknowledged
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