An Independent measures design involves using different participants in each condition.
A repeated measures design uses the same group of people to test all conditions
Matched Pairs Design features pairs of participants matched on keyparticipant variables. One member of each pair is placed in the experimental group and the other member in the control group.
strengths of independent groups?
Reduced likelihood of demandcharacteristics because they only take part in one condition
No ordereffects such as boredom/fatigue because participants only take part in one condition
limitations of independent measures?
Individual differences can affect the result. There is little control over participantvariables, so decreases the internal validity of the research and may confound the results.
more participants required
strengths of repeated measures?
Uses fewer participants – saves time and money
Participant variables are not a concern
Each participant acts as their own control/reduces the effect of individualdifferences
limitations of repeated measures?
Order effects (e.g.) fatigue, learning, boredom
Increased chance of demand characteristics.
strengths of matched pair design?
Low order effects
Low demand characteristics
Reduces effects of individual differences
limitations of matched pairs?
Participant variables eg if two participants are matched in terms of age, their skills may still differ