Pearson Correlation Analysis Spss. Higher scores on one variable imply lower scores on the other variable. Using the pearson correlation statistic in research this easy tutorial will show you how to run the pearson correlation test in spss and how to interpret the result.
It s best understood by looking at some scatterplots. Click on analyze correlate bivariate. Higher scores on one variable imply lower scores on the other variable.
For example you can use a pearson correlation to determine if there is a significance association between the age and total cholesterol levels within a population.
To run a bivariate pearson correlation in spss click analyze correlate bivariate. The result will appear in the spss output viewer. For example you could use a pearson s correlation to understand whether there is an association between exam performance and time spent revising. In actuality there is always a chance of error so you should report the value as p 001 if spss reports 000 and the number of pairs n 9.
