Abstract
A definition of concordance is derived from Rao's concept of a perfect diversity measure in order to identify aspects about which two populations of judges agree. In the case where each judge independently ranks a fixed set of items, the class of concordance measures based on the marginal distributions of the ranks is characterized by bi-affine similarity functions that measure how well pairs of judges tend to agree. This class contains population versions of several familiar indices of concordance, including Kendall's W. Concordance between two populations, refered to as intergroup concordance, is also scaled against its corresponding intragroup measures. Small sample properties of estimators of the ratio of inter-to-intra group concordance are investigated in a Monte Carlo study. An example is given to illustrate components of concordance attributable to subsets of items, and to contrast the proposed methods with previous analyses.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
