I am working on a intertester-reliability project, and I am currently facing the same kind of problem. Tester #1 gets the same score on each patient, and it isn´t possible to calculate kappa due to "cannot be computed because at least one of the variables is a constant". But the percentage agreement is neiter 0 nor 1.. How do I solve this?
A constant has no correlation with any other variable because when all the values are the same it can't possibly tell you anything about another variable. Maybe it helps if you think of correlation as a number that tells you how well the small values of one variable predict the small values in another variable, and the same for big ones. Something that you might want to do (depending on how your data looks like and what you want to know) is a T-Test that tells you whether the mean of the moving variable is significantly different from the constant.
This problem happened to me, but for some reason, after I MERGE FILES, one od the DataSets looses all data. When I GET FILES, all data is there, but when I MERGE, one file comes only with 'dots', like there was no data informed. Does anyone know how to fix this?