focuses on observable behaviour that can be physically seen & measured
eg when dog salivates can be measured in ml
internal
uses empirical methods so can establish a cause & effect relationship between behaviour & way we have learnt it
as methods are more objective thus more accurate
* practical applications?
has helped us in real world
eg schools use positive reinforcement in school by giving a reward through stickers
also used in prisons as token economy system - rewarding patients for good behaviour through exchanging tokens for something they want eg visiting time
ecological
shows these principles can be reinforced in real life to help explain real world behaviour & improve society
X using animals?
pro - allows us to research behaviour without using humans as subjects which could break the bps guidelines of protection of p from harm
con - if it is too unethical for humans, then should not be used on animals either
credibility
there are more ethical ways to study behaviour opposed to use of animalstudies implemented by behavioural pyschologists
X not generalisable to humans?
both operant & classical use animals in their research
humans are much more complex than animals
our behaviour will not be the same as animals due to our increasedintellectualability & social interactions
population
cannot be certain that behaviour is always learnt through reinforcement & that this will be same for all species
X deterministic?
behaviour is pre determined & not in our control
pro - allows us predict & determine future behaviour
eg we develop phobia after frightening experience & therefore not in our control
con - neglects individual differences & will respond differently to reinforcement
neglects freewill & suggests that everyone responds to reinforcement in the same way
will be unhelpful when trying to treat disordered behaviour