# Correlation

HideShow resource information
• Created on: 02-02-14 13:02
• Correlation
• positive correlation
• value of one of the variables increases, the values of the second variable also increase
• as the value of one of the variables decreases, the value of the other variable also decreases
• negative correlation
• as the values of one of the variables increase, the values of the second variable decrease
• as the value of one of the variables decreases the value of the other increases
• no correlation
• shows no relationship between the variables
• Strengths
• allows researcher to establish that two variables are linked
• calculate the strength of the relationship between two variables by calculating the correlation coefficient
• easier as there is not IV to manipulate and dont have to control variables
• weaknesses
• cannot establish a cause and effect relationships- eg just because one variable is linked to another it doesnt mean that one causes the other
• lack of correlation may not mean there is no relationship, it could just be non-linear
• two variables can seem to be correlated, but when other variables are accounted for the seeming correlation disappears- called a spurious correlation