Attitudes & Behaviour II Flashcards

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1
Q

KEY TERM ACRONYMS

A
  • attitudes = A
  • theory of reasoned action = TRA
  • theory of planned behaviour = TPB
  • behavioural intentions = BI
  • perceived behavioural control = PBC
  • subjective norms = SN
  • implementation intentions = II
  • motivation/opportunity as determinants of behaviour = MODE model
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2
Q

THEORY OF REASONED ACTION (TRA)

A
  • attitude component = expectancy/value
  • behavioural intentions = do you intend to x?
  • subjective norm = what do others think? normative beliefs + motivation to comply
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3
Q

FISHBRIN & AZJEN (1975)

A
  • TRA
  • attitude toward the beh + subjective norm -> beh intention -> behaviour
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4
Q

TRA: EVALUATION

A
  • good at predicting beh BUT…
  • “can” factor was missing (aka. does person feel they CAN perform beh)
  • AKA. perceived behavioural control (PBC)
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5
Q

AZJEN (1991)

A
  • theory of planned behaviour (TPB)
  • incorporated perceived behavioural control (PBC)
  • PBCs determined by control beliefs
  • PBC influences beh via affecting beh intentions (BI) and direct behaviour
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6
Q

AZJEN & MADDEN (1986)

A
  • theory of planned behaviour (TPB)
  • attitude toward beh + subjective norm + perceived beh control -> behavioural intention -> beh
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7
Q

TPB: COMPARISON

A
  • adding PBC = improvement > TRA
  • TRA/TPB studies; support found for both
    ALBARRACIN ET AL (2001)
  • meta-analysis (96 studies)
  • TRA; condom use
    AMITAGE & CONNOR (2001)
  • meta-analysis (185 studies)
  • TPB; stopping smoking
  • blood donation
  • public transport
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8
Q

ALBARRACIN ET AL (2001)

A
  • future condom use beh = STATSIG related to BI to use condoms (r = .45)
  • B1 predicted via As (r = .58)/SNs (r = .39)
  • As towards condom use predicted by beh beliefs (r = .56)
  • SNs predicted by normative beliefs (r = .46)
  • SO: TRA variables did well in helping beh prediction
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9
Q

ARMITAGE & CONNER (2001)

A
  • suggests TPB = good intention/beh predictor
  • works better for self-reported > observed beh
  • showed that PBC independently predicted intentions/beh in a wide domain number
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10
Q

TPB: EVALUATION

A
  • both meta-analyses = good evidence of effectiveness in predicting thoughtful beh BUT…
    1. ARE SOME BELIEFS MORE IMPORTANT THAN OTHERS?
    2. WHICH IS MORE IMPORTANT IN BI PREDICTION: A/SN?
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11
Q

TPB: ARE SOME TYPES OF BELIEF MORE IMPORTANT THAN OTHERS?

A
  • liked VS disliked outcomes
  • negative outcomes = ^ important in predicting speeding beh
  • positive outcomes = ^ important in predicting smoking initiation (LAWTON ET AL (2007)
  • material costs/benefits to the self; action consequences for feelings/well-being (instrumental VS emotional beliefs)
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12
Q

INSTRUMENTAL VS EMOTIONAL BELIEFS

A
  • action = eating fruits
  • instrumental outcomes = better energy levels/weight control/cardiovascular health
  • emotional outcomes = pride/vitality feelings
  • important distinction when understanding risky beh; negative emotional beliefs = v important
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13
Q

WHICH IS MORE IMPORTANT IN PREDICTING BI: A/SN?

A
  • usually BI better predicted by A > SN BUT not always
  • sometimes difs in whether people/situations emphasise personal (what I think) VS collective (what OTHERS who matter think) beliefs
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14
Q

TRAFIMOV & FINLAY (1996)

A
  • students completed measures of A/SN/BI towards 30 items ie. paying bills on time/eating begs regularly
  • 80% = BIs better predicted by A > SN
  • 20% = reversed pattern
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15
Q

YBARRA & TRAFIMOW (1998)

A
  • do we think more in terms of private VS collective self?
  • pps thought about private VS collective-self cognitions to see if results = affected
  • private self-cognition = “I am funny”
  • collective self-cognition = “my family thinks that I am funny”
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16
Q

YBARRA & TRAFIMOW (1998): METHOD

A
  • 1 pp group asked to think about themselves/expectations/how they DIFFERED from family/friends
  • other asked what they had in COMMON w/family/friends
  • 1st tried to make personal-self beliefs salient
  • 2nd made collective-self beliefs salient
  • rated A/SN/BI towards condom use during sex
17
Q

YBARRA & TRAFIMOW (1998): RESULTS

A
  • private-self belief primed pps = B1s ^ correlated/predicted by As (r = .64) > SNs (r = .48)
  • collective-self belief pps = B1s ^ correlated/predicted by SNs (r = .67) > As (r = .54)
18
Q

! CRITICAL !

A
  • highlight conditions where SNs can be ^ important in predicting BIs
  • fits findings from other studies that dif thinking ways about ourselves affects A-B link
  • relevant when looking at cross-cultural difs in A roles
19
Q

HOW DO BIs TRANSLATE INTO BEHAVIOUR?

A
  • they don’t!
  • important development = implementation intentions (IIs = specific “if-then” plans) ie:
    1. WHEN I encounter situation A, I WILL perform behaviour B.
20
Q

ORBELL ET AL (1997)

A
  • when implementation intentions present -> A-B link ^
  • intervention group instructed to form IIs
  • control group = no instructions
  • 1m post intervention -> 64% of II group reported having performed breast self-examination; 14% in control
21
Q

OTHER IMPORTANT VARIABLES

A
  • if TPB = correct -> only As/SNs/PBC/BIs should matter when predicting beh
  • other things perceived morality of beh/personal need for satisfaction/anticipated negative self-conscious emotion/individual self-efficacy difs/habit
  • REMEMBER = TPB isn’t perfect
22
Q

THE MODE MODEL: SUMMARY

A
  • MODE = Motivation and Opportunity as Determinants of Behaviour
  • dual process model
  • individuals have BOTH sufficient motivation/opportunity
  • may base beh on measured consideration of attitudes
  • if not -> spontaneous info processing
  • accessible attitudes readily activated in spontaneous situations so A-B link = ^ > when attitudes = inaccessible
23
Q

! SUMMARY !

A
  • TRA/TPB = influential in understanding A-B links
  • negative emotional beliefs can have ^ impact on BIs > positive non-emotional beliefs
  • compared to influence of SNs, As influence may be lower when collective self-beliefs = salient < when private self-beliefs = salient
  • IIs can really affect A-B link
  • TPB = useful BUT not exhaustive in terms of factors predicting beh
  • MODE model helps understand how attitude accessibility impacts A-B link