Attribution Theory Flashcards

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1
Q

ATTRIBUTION DEFINITION

A

MOSKOWITZ (2005)
- result of classifying/explaining beh process to arrive at decision regarding beh cause/reason
- aka. WHY SOMEONE ACTS IN THE WAY WE OBSERVE

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2
Q

LAYPERSON = NAIVE SCIENTIST

A

HEIDER (1958)
- chronic need to see causality (even where there is none)
MALLE (2003)
- perceivers use agency/intentionality language even when describing/explaining abstract movements
- if they appear agentic, they are deemed as such

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3
Q

CAUSES OF ACTIONS

A

HEIDER (1958)
- two global forces
- person -> personal causality (human pref)
- situation -> impersonal causality

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4
Q

WHY PERSONAL EXPLANATIONS PREF?

A

HEIDER (1958)
- beh engulfs the field
- personal explanations are stable/clear/concrete causes
- important common sense psych principle
- scientific general theory that we grasp/predict/control reality
- we refer transient/variable beh/events to mostly stable underlying conditions AKA. dispositional properties of the world

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5
Q

LOC

A
  • internal LOC = motivation/ability
  • external LOC = situational factors
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6
Q

WEINER’S ATTRIBUTION MODEL (CAUSES OF BEH)

A

INTERNAL LOC
- stable = ability
- unstable = effort
EXTERNAL LOC
- stable = task difficulty
- unstable = luck

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7
Q

HEIDER’S LEGACY

A
  • predictability/control of beh
  • inspiration for JONES/DAVIES/KELLEY
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8
Q

CORRESPONDANT INTERFERENCE THEORY

A

JONES & DAVIES (1965)
- central CI concept = perceiver’s judgement that actor’s beh caused by/corresponds to trait
- seeking of closure over accuracy
- basic assumption = trait attributions -> stability (daisuki~ <3)

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9
Q

MULTIPLE EFFECTS

A
  • one act can have many consequences/effects
  • people use consequences to decide if act = intended/unintended (ie. ending relationship)
  • weighing up multiple effects -> perceivers make better inferences about internal actor state
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10
Q

WORKING OUT INTENTIONALITY

A
  1. Does actor have knowledge of action consequences?
  2. Does actor wish for these consequences?
  3. Is actor capable of achieving desired consequences?
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11
Q

INTENTIONALITY LIKELINESS

A
  • desirability of consequences
  • noncommon effects
  • situational constraint
  • is beh normative/unique?
  • hedonic relevance of action
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12
Q

ATTRIBUTION OF DISPOSITIONS

A
  • what did chosen beh produce that other beh wouldn’t? (ie. choosing uni)
  • implications -> infer dispositions more confidently with fewer non-common effects
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13
Q

ANALYSIS OF NON-COMMON EFFECTS I

A

JANE SMITH
- uni X = A/B/C/D
- uni Y = A/C/D
- A = prestigious rep
- B = year abroad option
- C = great social scene
- D = higher grades
CHOICE = X
CONCL = X has year abroad
INFER = Jane wants a year abroad (B = NCE)

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14
Q

ANALYSIS OF NON-COMMON EFFECTS II

A

JOHN SMITH
- uni W = A/B/C
- uni Y = A/C/D
- A = prestigious rep
- B = year abroad option
- C = great social scene
- D = higher grades
CHOICE = W
CONCL = John wants year abroad OR doesn’t think he’ll get the grades
INFER = Unclear (NCE = 0)

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15
Q

COVARIATION/CONFIGURATION MODELS

A

KELLEY (1963)
- situation VS entity attribution
- causal schemas = assumptions based on prior experience

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16
Q

KELLEY’S CAUSAL SCHEMA IDEA

A
  • mature individual = abstract idea repertoire about operation/interaction of causal factors
  • conceptions let perceivers make economical/fast attributional analysis via framework where relevant info can be fitted for reasonable good causal inferences
17
Q

CAUSAL SCHEMAS

A
  1. DISCOUNTING PRINCIPLE
  2. AUGMENTATION PRINCIPLE
18
Q

DISCOUNTING PRINCIPLE

A
  • potential causes discounted if observers = aware of another factor working to observed effect
  • IE. cyclist doesn’t need strength to cycle fast DOWN steep hill
  • less influence attributed to cycling power when gravity already explains speed
19
Q

AUGEMENTATION PRINCIPLE

A
  • potential causes augmented if observers aware of another factor working against observed effect
  • IE. cyclist NEEDS strength to cycle fast UP steep hill
  • more influence attributed to cycling power when gravity normally slows cyclist down
20
Q

KELLEY’S ANOVA MODEL

A
  • we don’t always use theory driven schemas; sometime we need more careful/data-driven analysis
  • need for deliberate/systematic/rational causality
  • covariation = variance in one event linked to variance in another
21
Q

FACTORS HELPING ATTRIBUTE BEH

A
  • consensus = how would others react in same situation? (HIGH VS LOW)
  • distinctiveness = how does same actor react to dif entities? (HIGH VS LOW)
  • consistency = does action generalise across time (HIGH VS LOW)
22
Q

! SUMMARY !

A

ATTRIBUTION THEORY
- how the social perceiver gathers/combines info for causal explanations for events
KEY WORK
- Heider (1958)
- Jones & Davies (1958)
- Kelley (1965)
COMMON FACTORS
- concern w/common sense explanations/answers
- attempt to formalise rules we might use in CA process