Correlation refers to the degree to which a pair of variables is linearly related. The effect size quantifies some difference between two groups (e.g. the difference between the means of two datasets). For example, there's the Cohen's effect size.
It seems to me that these concepts are related, but how exactly are they related?
Best Answer
You are right, Cohen's $d$ and the correlation coefficient $r$ are conceptually related, in at least two ways:
However, it is important to remember that $r$ and $d$ are very different and bear no direct relationship. They quantify entirely different types of phenomena. Two series of values can have exactly the same mean ($d=0$) and be totally uncorrelated ($r=0$) or highly correlated ($r=1$); every combination is possible.