Biserial correlation is a statistical measure used to assess the relationship between one continuous variable and one binary variable. The continuous variable can take on a range of values, while the binary variable has only two categories, such as "yes/no" or "success/failure." This correlation helps researchers understand how changes in the continuous variable relate to the two categories of the binary variable. This method is particularly useful in fields like psychology and social sciences, where researchers often deal with data that includes both types of variables. By calculating the biserial correlation, they can gain insights into patterns and associations that may exist between the two variables.