Correlation Studies

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We have talked some about correlational studies. Correlational studies are designs meant to examine the extent to which two variables are related. There are three types of correlation; negative, positive, and zero correlation. Negative is when one variable goes up the other goes down or in the opposite direction. Positive is when both variables go in the same direction. A zero correlation means that neither of the variables are related. I believe this is very important in psychology because psychologists do numerous studies and it is important to be able to find out whether two variables are correlated or not.
In psychology we can't always be sure that two variables are correlated. Of course there are studies, like the one we did in class, where we graphed the correlation of quiz scores to exam scores. If you think about it, those two variables make sense. In most cases the higher the quiz scores the higher the exam score. But, sometimes there are outrageous correlations that don't make any sense. For example, eye color and math exam score. There would most likely be a zero correlation and those two things are pretty ridiculous to correlate in the first place. Sometimes there are studies that you just can't tell and that is when the research and experiments can help to support your claim.
Here is an article about an interesting correlation study I found:
http://www.huffingtonpost.com/2011/09/21/divorce-causes-hair-loss-_n_974544.html

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Correlation Studies - Psych 1001 Section 010 and 011 Fall 2011 Read More

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This page contains a single entry by schle346 published on October 2, 2011 9:27 PM.

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