In: Statistics and Probability
give an example when you would use both experimental and correlational study?
Answer:
Correlational and Experimental Study:
In correlational studies a looks for associations among naturally occurring variables, whereas in experimental studies the introduces a change and then monitors its effects.
Example of when we use both Correlational and Experimental Study:
Example:
A health magazine reports that depressed people who continue
medication for at least six months are less likely to relapse than
are people who take medication for less than six months. What would
you need to know about the design of this study, in order to
interpret the report?
Explanation:
Here, enough information to see whether it was a correlational
study or an experiment.
In a correlational study, we would take advantage
of the fact that some depressed people stay on medication longer
than others. Suppose we finds that people on medication more than
six months are less likely to relapse. Then we cannot conclude that
the increased time on medication improved the relapse rate because
other explanations have not been ruled out.
In an experimental study, we controls how long
people stay on medication. Half of a sample of depressed people is
randomly chosen to receive medication for less than six months; the
others receive medication for more than six months. The only way
the two groups differ is in the duration of the medication.