Experimental designs Flashcards
Independent groups
One group does condition A and a second group does condition B
Participants should be randomly allocated to experimental groups
3 experimental designs
Independent groups
Repeated measures
Matched pairs
2 advantages of independent groups + explain
No order effects - participants are only tested once so can’t practise or become bored/tired. This controls an important CV
Will not guess aim - participants only tested once so are unlikely to guess the research aims. Therefore behaviour may be more ‘natural’ (higher realism)
2 disadvantages of independent group + explain
Participant variables - the participants in the two groups are different, acting as EV/CV. May reduce the validity of the study.
Less economical - need twice as many participants as repeated measures for the same data. More time spent recruiting which is expensive
Repeated measures
Same participants take part in all conditions of an experiment.
The order of conditions should be counterbalanced to avoid order effects
2 advantages of repeated measures + explain
Participant variables - The person in both conditions has the same characteristics. This controls an important
Fewer participants - Half the number of participants is needed than in independent groups. Less time is spent recruiting
2 disadvantages of repeated measures + explain
Order effects are a problem - participants may be doing better or worse when doing a similar task twice. Also practice/fatigue effects. Reduces the validity of the results
Participants guess aims - participants may change their behaviour. This may reduce the validity of the results
Matched pairs
Two groups of participants are used but they are also related to each other by being paired on participant variables that matter for the experiment
2 advantages of matched pairs + explain
Participant variables - participants matched on a variable that is relevant to the experiment. This controls participant variables and enhances the validity of results
No order effects - participants are only tested once so no practice or fatigue effects. This enhances the validity of the results
2 disadvantages of matches pairs + explain
Matching is not perfect - it is time consuming and can’t control all relevant variables. Cannot address all participant variables
More participants - need twice as many participants as repeated measures for same data. More time spent recruiting which is expensive