1) INDEPENDENT GROUP MEASURES:
AD: No issues with ORDER EFFECT as different participants are used, which may take place when participants take part in two or more conditions
DIS:Potential error due to individual differences between participant groups
2)REPEATED MEASURES: Exposing participants to each experiment condition
AD: Individual differences are eliminated as potential confounding variable
-Fewer participants required
DIS: Has less uses than for IGDs
-Order effect may occur as same participants are used in more than one condition
Minimise Repeated measures issues?
1)COUNTER BALANCING: equal number of participants undertake tasks but in different orders
-->Yet performing one condtion may help another condtion
2)RANDOMIZATION: a random stratergy for deciding the presentation order of experimental conditions (e.g. coin tossing)
-->may combinecombining both INDEPENDENT AND REPEATED MEASURES DESIGNS
Matched participants design?
-Gains key advantages from both IGDs and RMDs.
-->matching participants from each experimental condtion closely, in terms of relavant variables
-Participants are seen as some similar under particular condtions they could be classed as one person
-->one condition: reduces order effect
AD: combines advantages of both designs
DIS: finding pairs that match is difficult/time consuming
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