- Created by: Bethany
- Created on: 20-09-19 16:32
research which analyses the strength and direction of a relationship between two co-variables. Co-variables is the name given to the variables in a correlation that are being analysed to see if they have a relationship. Correlations require quantitative data which is plotted on a scattergram.
Differences between correlations and experiments:
In experiments one variable is manipulated whilst one is measured which allows the researcher to establish a cause and effect relationship between variables. In a correlation there is no manipulation of one variable and therefore it is not possible to establish cause and effect. A correlation establishes an association or relationship.
Analysis of the relationship between co-variables:
Positive correlations- as one co-variable increases, so too does the other
Negative correlation- as one co-variable increases, the other decreases
Zero correlation- no relationship between the co-variables
For each participant in a correlation 2 scores are obtained which are used to plot one dot on the scattergram for that individual, the scatter of the dots indicates the degree of correlation between the co-variables.