This exercise is best to complete if you have
read (a) the correlation section of the statistics page and (b) the correlational
studies section of the descriptive and correlational research methods page.
If you have not checked these out you can go to either or both of these pages.
INSTRUCTIONS
Read each of the descriptions below. Then
determine whether the relationship described suggests a positive or negative
correlation (the section on "statistics: correlation"
will review what is meant by Positive and Negative correlation).
Then consider why we might find this relationship. The more you think
about the correlation suggested the more possible explanations for this relationship
you are likely to find. This highlights why causality cannot be established
through correlational research. (The section on
correlational studies reviews this idea).
A researcher finds that students who attend fewer classes get poorer grades.
Moral of the Lesson:
In each case above there was more than one explanation for why we might find the relationship between the variables. Since we cannot rule out these alternative explanations, we cannot conclude that changes in one variable "caused" changes in the other variable.
The snappy phrase to express this idea is: CORRELATION does not equal CAUSATION
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©svf 03/27/03