Correlations show the direction and strength between two variables. This can be illustrated via a scattergram where one variable sits on x-axis and the other is on the y-axis.
A positive correlation means both variables increase together.
A negative correlation means as one variable increases, the other decreases.
Zero correlation means there's no relationship between these variables.
Strength) There is no need for a controlled environment and you can use secondary data in a correlational study. This means they are less time-consuming.
Limitation) Because there is no direct manipulation of an IV, a cause-and-effect relationship cannot be established.