![]() ![]() When you choose to analyse your data using Pearson’s correlation, part of the process involves checking to make sure that the data you want to analyse can actually be analysed using Pearson’s correlation. ![]() However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for a Pearson's correlation to give you a valid result. This "quick start" guide shows you how to carry out a Pearson's correlation using SPSS Statistics, as well as interpret and report the results from this test. Note: If one of your two variables is dichotomous you can use a point-biserial correlation instead, or if you have one or more control variables, you can run a Pearson's partial correlation. You can learn more in our more general guide on Pearson's correlation, which we recommend if you are not familiar with this test. You could also use a Pearson's correlation to understand whether there is an association between depression and length of unemployment.Ī Pearson’s correlation attempts to draw a line of best fit through the data of two variables, and the Pearson correlation coefficient, r, indicates how far away all these data points are from this line of best fit (i.e., how well the data points fit this model/line of best fit). The Pearson product-moment correlation coefficient (Pearson’s correlation, for short) is a measure of the strength and direction of association that exists between two variables measured on at least an interval scale.įor example, you could use a Pearson’s correlation to understand whether there is an association between exam performance and time spent revising. ![]() Pearson's Product-Moment Correlation using SPSS Statistics Introduction ![]()
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