Agreement studies commonly occur in medical research, for example, in the r
eview of Xrays by radiologists, blood tests by a panel of pathologists and
the evaluation of psychopathology by a panel of raters. In these studies, o
ften two observers rate the same subject for some characteristic with a dis
crete number of levels. The kappa -coefficient is a popular measure of agre
ement between the two raters. The kappa -coefficient may depend on covariat
es, i.e. characteristics of the raters and/or the subjects being rated. Our
research was motivated by two agreement problems. The first is a study of
agreement between a pastor and a co-ordinator of Christian education on whe
ther they feel that the congregation puts enough emphasis on encouraging me
mbers to work for social justice (yes versus no). We wish to model the kapp
a -coefficient as a function of covariates such as political orientation (l
iberal versus conservative) of the pastor and co-ordinator. The second exam
ple is a spousal education study, in which we wish to model the kappa -coef
ficient as a function of covariates such as the highest degree of the fathe
r of the wife and the father of the husband. We propose a simple method to
estimate the regression model for the kappa -coefficient, which consists of
two logistic (or multinomial logistic) regressions and one linear regressi
on for binary data. The estimates can be easily obtained in any generalized
linear model software program.