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Correlational Analysis -
Advantages and Disadvantages
- Advantages
- Used when it would be unethical or
impractical to manipulate variables and can
make sure of existing data.
- If correlation is significant then further investigation is justified.
- If correlation is not significant than you can probably rule out a casual relationship
- The procedures can be repeated again which means that the findings can be
confirmed.
- The procedures can be repeated again which means that the findings can be
confirmed.
- If correlation is not significant than you can probably rule out a casual relationship
- If correlation is significant then further investigation is justified.
- Used when it would be unethical or
impractical to manipulate variables and can
make sure of existing data.
- Disadvantages
- People often misinterpret correlations and
assume that a cause have been found, whereas
this is not possible.
- Maybe be other, unknown variables, that can explain
why the co-variables being studied are linked.
- May lack external/internal validity e.g. method used to
measure IQ may lack validity or sample used may lack
generalisability.
- May lack external/internal validity e.g. method used to
measure IQ may lack validity or sample used may lack
generalisability.
- Maybe be other, unknown variables, that can explain
why the co-variables being studied are linked.
- People often misinterpret correlations and
assume that a cause have been found, whereas
this is not possible.
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