The observed proportional correspondence between X and Y is defined as follows: To get the kappa statistics in SAS, we use proc freq with the kappa test statement. By default, SAS only calculates kappa statistics if the two variables have exactly the same categories, which is not the case in this particular case. We can work around this problem by adding a false observation and a weight variable displayed below. The weight variable takes the value 1 for all real observations and the value of 0 for the false observation we have just added. The trick is then to use the Zero option for the statement. We can see from the next edition that the “Simple Kappa” gives kappa`s estimated value of 0.389 with its asymptotic default error (ASE) of 0.0598. The difference between compliance with the agreement and the expected independent concordance is about 40% of the maximum possible difference.