correlation
→a way of establishing whether there is a relationship between 2 co-variables and then we assess the strength of that relationship
the deal with correlations is that they state a relationship, not a cause and effect
to analyse the relationship:
draw a scattergram
calculate a correlation coefficient
positive correlation= 2 co-variables are directly proportional to eachother
negative correlation= 2 co-variables are indirectly proportional to eachother
correlation coefficient
→is a statistical method for assessing the strength of a correlation
(+) and (-) tells you the direction of the correlation

eval
strengths
+can identify a relationship which can prompt more research (pleminary(pre-test for something))
+researchers can analyse the data statistically
+economical
limitations
-can’t establish cause and effect
-variables have to be quantified which means measures may lack validity
-there could be a third variable accounting for association