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advantages:
its ideal for testing demographic variables which cannot be manipulated. like a non-experimental design it doesn't require much to collect data, but just merely shows effects of a presence or absence of an Independent variable on a Dependent variable.
disadvantages:
it cannot acquire as much data as an experimental design, the levels of the "IV" are already established. If anything it tries to be an experimental design but it cannot.

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