case of correlational research
one quantitative IV and one quantitative DV.
Example: Self-esteem (IV) and class performance (DV).
· You would look for the relationship by calculating the correlation coefficient.
· The correlation coefficient is a number that varies between -1 and +1, and 0 stands for no relationship. The farther the number is from 0, the stronger the relationship.
· If the sign of the correlation coefficient is positive (e.g., +.65) then you have a positive correlation, which means the two variables move in the same direction (as one variable increases, so does the other variable). Education level and annual income are positively correlated (i.e., the higher the education, the higher the annual income).
· If the sign of the correlation coefficient is negative (e.g., -.71) then you have a negative correlation, which means the two variables move in opposite directions (as one variable increases, the other decreases). Smoking and life expectancy are negatively correlated (i.e., the higher the smoking, the lower the life expectancy).