Point-Biserial Correlation Calculator

If you want to calculate a point biserial correlation, choose a metric variable and a nominal variable with two values. Just try it with the example data above.

If you want to use your own data, just copy it into the table above and then select the respective variables. The results of the calculated point biserial correlation will be displayed clearly.

Point biserial correlation

A point biserial correlation is a statistical measure of the strength and direction of the relationship between a dichotomous (binary) variable and a metric variable. A dichotomous variable has only two possible values, such as yes/no, present/absent, pass/fail, and so on. A metric variable has continuous values, such as age, weight or income.

The point biserial correlation is a special case of the Pearson correlation. It measures the linear relationship between the dichotomous variable and the metric variable and indicates whether they are positively or negatively correlated.

The point biserial correlation can take values between -1 and 1, where a value of -1 indicates a perfect negative correlation, a value of 1 indicates a perfect positive correlation, and a value of 0 indicates a lack of correlation between the variables.

However, it is important to note that the point biserial correlation only measures the linear relationship between the variables and that other factors that may influence the relationship must be taken into account.