experimental design refers to how participants are allocated to the different conditions
there are three types of experimental design: independent groups, repeated measures and matched pairs
in independent groups design the participants take part in one condition only, each condition has a different group of participants
advantages of independent groups:
less chance of order effects
reduces risk of demand characteristics as participants are only in one condition so are less likely to guess the aim of the study
can be used when repeated measures design in inappropriate (e.g. gender) as each condition needs different participants
disadvantages of independent groups:
participant variables may affect the DV as there are separate groups of participants in each condition so it can lower internal validity
more participants are needed as 2 different groups are required
in repeated measures design all participants take part in all conditions of the experiment
advantages of repeated measures:
participant variables between participants are removed
requires fewer participants as the same participants take part in all conditions, it may increase population validity
disadvantages of repeated measures:
increased chance of demand characteristics as participants take part in all conditions so may notice clues and change their behaviour lowering internal validity
order effects may occur as participants take part in both conditions so might get bored or tired
Inappropriate to use for quasi-experiments where participants are unable to take part in all conditions
in matched pairs design, participants are matched on important characteristics (e.g. age or IQ), one member of the pair is then put in each condition
advantages of matched pairs:
controls the participant variables
low chance of order effects as the participants will only do one condition
disadvantages of matched pairs:
very time consuming to match up and find similar participants
difficult to completely match participants on all important characteristics so they may still be some participant variables