By default, PROC CORR prints a report that includes descriptive statistics and correlation statistics for each variable. The descriptive statistics include the number of observations with nonmissing values, the mean, the standard deviation, the minimum, and the maximum.
If a nonparametric measure of association is requested, the descriptive statistics include the median. Otherwise, the sample sum is included. If a Pearson partial correlation is requested, the descriptive statistics also include the partial variance and partial standard deviation.
If variable labels are available, PROC CORR labels the variables. If you specify the CSSCP, SSCP, or COV option, the appropriate sums of squares and crossproducts and covariance matrix appear at the top of the correlation report. If the data set contains missing values, PROC CORR prints additional statistics for each pair of variables. These statistics, calculated from the observations with nonmissing row and column variable values, might include the following:
SSCP(’W’,’V’), uncorrected sums of squares and crossproducts
USS(’W’), uncorrected sums of squares for the row variable
USS(’V’), uncorrected sums of squares for the column variable
CSSCP(’W’,’V’), corrected sums of squares and crossproducts
CSS(’W’), corrected sums of squares for the row variable
CSS(’V’), corrected sums of squares for the column variable
COV(’W’,’V’), covariance
VAR(’W’), variance for the row variable
VAR(’V’), variance for the column variable
DF(’W’,’V’), divisor for calculating covariance and variances
For each pair of variables, PROC CORR prints the correlation coefficients, the number of observations used to calculate the coefficient, and the -value.
If you specify the ALPHA option, PROC CORR prints Cronbach’s coefficient alpha, the correlation between the variable and the total of the remaining variables, and Cronbach’s coefficient alpha by using the remaining variables for the raw variables and the standardized variables.