experimental designs Flashcards
experimental designs definition
how participants are allocated to the conditions of an experiment
independent groups
participants are allocated to different groups where each group represents one experimental condition
matched pairs
pairs of participants are first matched on some variable that may affect the DV. Then one member of the pair is randomly assigned to condition A and the other to B
repeated measures
all participants take part in all conditions of the experiment
random allocation
an attempt to control participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition as any other
counterbalancing
an attempt to control order effects in a repeated measures design. half the participants experience the conditions in one order, and the other half in the opposite order
strengths of independent groups
- order effects arent a problem as participants only take part in 1 condition
- demand characteristics less likely
- standardised (can use the same materials in both groups)
weaknesses of independent groups
- participant variables in each of the different groups arent the same so participant variables could be a CV
- less economical as each participant can only contribute a single result so twice the amount of participants would be needed to produce the equivalent data of a repeated measures result
how to overcome weakness of independent groups
- random allocation overcomes participant variables. (each participant has an equal chance of ending up in each condition)
strengths of matched pairs
- order effects arent a problem
- demand characteristics less likely
- can use the same materials in both groups (standardised)
- some participant variables are controlled
weaknesses of matched pairs
- participant variables may still be a problem as we are unlikely to match all participants based on all variables
- matching is time consuming and less economical
- more participants needed than for repeated measures
how to overcome weaknesses of matched pairs
- match them on fewer variables (computer)
- pilot study to work out the most important participant variables and match them on those
strengths of repeated measures
- participant variables not a problem as same people are in each condition
- fewer participants needed so less time consuming and more economical
weaknesses of repeated measures
- order effects
- cant use the same materials in both groups (not standardised)
- demand characteristics likely as participants take part in all conditions
how to overcome weaknesses of repeated measures
- time gap between conditions
- counterbalancing
- use different materials but equivalent materials