1- the highly controlled environment eliminates all extraneousvariables, causing the study to have a high internalvalidity as the experimenter can easily establish causeandeffect, therefore can be sure that the study is measuring what it claims to.
2- easily replicable, so has a high externalreliability
1- not a lot of space so a small sample must be used. reduces external reliability- study could be a fluke
2- causes the study to lack mundane realism therefore ecological validity as the highly controlled environment does not reflect everyday settings, so the hawthorne effect may cause participants to act differently than they usually would, and results cannot be generalised to natural settings.
2- has mundane realism therefore a high ecological validity as the natural setting reflects everyday environments, so the hawthorne effect will not cause participants to act differently than they usually would, and results can be generalised to natural settings.
1- the environment isn't as controlled so there could be extraneous variables, reducing the internal validity, so it is difficult to establish cause and effect and the experimenter cannot be sure that the study is measuring what it claims to measure.
1- good for conducting ethical research- sometimes is the only ethical experimental method, as it. an be unethical to create a change in a naturally occurring IV.
1- the IV is naturally occurring, therefore cannot be manipulated, so it can be difficult to establish cause and effect therefore internal validity is lowered
2- can be difficult to replicate as the sample is often scarce.
what are 2 advantages of independent measures design?
different participants are grouped into each condition, therefore participants only undertake the study in one of the conditions,so they are less likely to detect demand characteristics, increasing the internal validity.
participants are grouped into each condition, so each participant undertakes the study in only one condition which eliminates the order effect- this is because participants are less likely to become bored or unmotivated due to repetition, which ensures that the results are valid.
what is a disadvantage of independant measures design?
different participants are grouped into every condition, meaning that participant variables could affect results and make them unrepresentative, as some groups may be higher or lower in levels of a certain characteristic than others.
an experiment where neither the individual nor experimenter know which group the participant is assigned to in order to prevent the experimenter from subconscious treating them in a biased way
individual differences between participants will not influence the results, as participants undertake the study in every condition, so they aren't grouped into conditions
what are the disadvantages of repeated measures design?
each participant is used for every condition so the participants are tested on a multitude of times so are more likely to notice demand characteristics, causing the hawthorne effect- they act differently than they usually would.
each participant is used for every condition so the participants are tested on a multitude of times so are likely to become bored or unmotivated, meaning the order effect can affect the validity of results.
what are the advantages of matched participants design?
particioants are grouped into conditions with other particioants with a range of levels of a certain characteristic, so participant variables cannot affect results.
participants are only tested on for one condition, meaning that the order effect is not likely to make participants become bored or unmotivated, so results are valid.
participants are only tested on for one condition, meaning that they are less likely to notice demand characteristics so the hawthorne effect is eliminated, so participants act as they usually would
motivation may act as an extraneous variable, as participants clearly are willing to take part therefore may put more effort into the study, causing them to act differently than they usually would which lowers the internal validity as the study possibly isn't measuring what it claims to measure.
there is a chance that not many people see the advertisements, leading to a small sample and low external reliability.