Explanations for gambling addiction: Learning theory Flashcards
Vicarious reinforcement
Learning theory (gambling)
Seeing other being rewarded for gambling through pleasure & money
Not always direct - newspapers, magazines etc report positively on lottery winners
May be trigger for those who haven’t gambled before
Positive & Negative reinforcement
Learning theory (gambling)
Once person starts gambling, there’s 2 sources of direct +reinforcemnt - Winning money & ‘buzz’ that accompanies gambling
Neg reinforcement - gambling can be an esacpe for many; offers distraction from aversive stimuli
Partial reinforcement
Learning theory (gambling)
Partial reinforcemnt schedule creates persistent behaviour seen in gambling
In some types of partial reinforcement (variable) only some bets are rewarded so there is unpredictability
Variable reinforcement
Learning theory (gambling)
Behaviour reinforced intermittently, produces most persistent learning
Reward given after unpredictable number of responses
Takes longer for leanring to be established but once it is it’s more resistant to extinction
Why gamblers continue after big loss - they will win eventually if they persist
Cue reactivity
Learning theory (gambling)
Can explain how behavioural addiction can be maintained & reinstated after a relapse
Experienced gamblers experience many secondary reinforcers
e.g. atmosphere of betting shops, colourful look of scratch cards
These cues are everywhere in social and media environments so difficult for abstaining gambler to avoid
Research support
Learning theory (gambling)
Strength - research from outside lab
Dickerson observed behaviour of gamblers in 2 betting offices in Birmingham
Comapred those who put most bets on horse races & those who placed few
Found high-frequencey gamblers were more likely to place bets in last 2 mins before race start
They find build up exciting
There4, there is evidence for +reinforcement in real world setting
Research support - Counterpoint
Learning theory (gambling)
Study has methodological shortcomings
e.g. gambling behaviour was directly oberserved in betting shops over 14 weeks, no way of checking inter-observer reliability
There4, observer bias wasn’t eliminated & findings of study may not be valid
Limited explanation
Learning theory (gambling)
Limit - struggles to explain some types of gambling
Learning theory can explain gambling addiction in games where there’s no delay between placing bet and outcome
Harder for learning theory to explain addiction to gambling where outcome is known sometime after placing bet
Reward comes long time after behaviour so conditioning is less effective
There4, learning theory is limited as it doesn’t provide general explanation of all gambling addiction
Explains failure to stop
Learning theory (gambling)
Strength: explains why most gamblers cannot stop gambling
Conditioning is ‘automatic’ process - unaware they are learning to be addicted
Even though most gamblers are determined to give up, they fail over and over
Because their conscious desire to give up may conflict w/ conditioning processes that drive them to continue gambling
There4, learning theory explains common everyday experience of most addicted gamblers who find ut hard to stop gambling