Spss Point Biserial Correlation. They are also called dichotomous variables or dummy variables in regression analysis. Point biserial is a correlation test used when assessing the relationship between a categorical and a continuous variable.
The point biserial correlation coefficient is a correlation measure of the strength of association between a continuous level variable ratio or interval data and a binary variable. There is no special command in spss to calculate the point biserial correlation coefficient. Since we use the pearson r as point biserial correlation coefficient we should first test whether there is a relationship between both variables.
A point biserial correlation is used to measure the strength and direction of the association that exists between one continuous variable and one dichotomous variable.
Simply run a correlations between your dichotomous and continuous variable. The point biserial correlation coefficient is a correlation measure of the strength of association between a continuous level variable ratio or interval data and a binary variable. Since the point biserial correlation is simply the special case of the pearson product moment correlation applied to a dichotomous and a continuous variable the coefficients produced by correlations are point biserial correlations when these types of variables are involved. Simply run a correlations between your dichotomous and continuous variable.