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Experimental design
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Experimental design
It refers to how the participants that are taking part in a study are allocated to
conditions
(which of group are they put into)
Independent
group
Two separate groups of participants take part in two different conditions of the experiment
If there's
2
levels of IV, only
1
group will experience it and there will be a
control
group.
The two groups can the be
compared.
Repeated measures
Both groups experience the conditions of the experiment. The participants will be tested on one condition but then later by a different condition.
2 sets of data will be compared to identify difference comparing the effect
Matched pairs
Participants are paired together on variable/variables relevant to the experiment
Then one participant would be allocated to a different condition, so there is control over confounding variables of participant variables.
Independent group advantages
Order effects are not a problem
Less chance of guessing the aim and changing their behaviour (demand characteristics)
Independent
group disadvantages
Less economical
participants who occupy the different group designs are not the same
Individual differences
may affect the dependent variable (your abilities)
Independent
group solution
To deal with it, they could use
random allocator.
Repeated measure design advantages
Same participants are used, meaning participant variables are reduced
Individual differences would not occur as it is the same person
Repeated measure
design
disadvantages
Order effects are a problem
Demand characteristics
Each participant has to do at least two tasks and the order of the tasks may be significant
Repeated measure design solutions
Counterbalancing- half take part A and the other take part B.
Control order effects
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