Although peer raters of personality traits do tend to agree, the stren
gth of their consensus is often modest. This article focuses on method
s for analyzing determinants of consensus. Variance components methods
adapted from generalizability theory have some untapped potential for
understanding gradations in consensus. The methods allow explicit ana
lysis of how social categories of targets might affect judgments of ra
ters from the same or different social categories. Limitations of the
variance components approach are also discussed. The methods are illus
trated with artificial data.