In this paper, two new weighted coefficients of agreement to measure the concordance among several (more than two) sets of ranks, putting more weight in the lower and upper ranks simultaneously, are presented. These new coefficients, the signed Klotz and the signed Mood, generalize the correspondent rank-order coefficients to measure the agreement between two sets of ranks previously proposed by the authors [1]. Under the null hypothesis of no agreement or no association among the rankings, the asymptotic distribution of these new coefficients was derived. To illustrate the worth of these measures, an example is presented to compare them with the Kendall’s coefficient and the van der Waerden correlation coefficient.info:eu-repo/semantics/pu...
The Kappa coefficient is widely used in assessing categorical agreement between two raters or two me...
The agreement between two raters judging items on a categorical scale is traditionally assessed by C...
Problem Statement: There have been many cases in real life where two independent sources have ranked...
Two new weighted correlation coefficients, that allow to give more weight to the lower and upper ran...
The aim of this study is to introduce weighted inter-rater agreement statistics used in ordinal scal...
Three new weighted rank correlation coefficients are proposed which are sensitive to both agreement ...
A method is presented for comparing the strength of agreement of a group rankings with an external o...
We propose a coefficient of agreement to assess the degree of concordance between two independent gr...
Preference data represent a particular type of ranking data where a group of people gives their pref...
Agreement can be regarded as a special case of association and not the other way round. Virtually i...
In square contingency tables, analysis of agreement between the row and column classifications is of...
Preference data are a particular type of ranking data where some subjects (voters, judges, ...) give...
Data from rating scale assessments have rank-invariant properties only, which means that the data re...
An experiment in the field of social psychology is presented, emphasising the application of some le...
ordinal agreement coefficients, rank-order correlation, concordance, intraclass correlation, effect ...
The Kappa coefficient is widely used in assessing categorical agreement between two raters or two me...
The agreement between two raters judging items on a categorical scale is traditionally assessed by C...
Problem Statement: There have been many cases in real life where two independent sources have ranked...
Two new weighted correlation coefficients, that allow to give more weight to the lower and upper ran...
The aim of this study is to introduce weighted inter-rater agreement statistics used in ordinal scal...
Three new weighted rank correlation coefficients are proposed which are sensitive to both agreement ...
A method is presented for comparing the strength of agreement of a group rankings with an external o...
We propose a coefficient of agreement to assess the degree of concordance between two independent gr...
Preference data represent a particular type of ranking data where a group of people gives their pref...
Agreement can be regarded as a special case of association and not the other way round. Virtually i...
In square contingency tables, analysis of agreement between the row and column classifications is of...
Preference data are a particular type of ranking data where some subjects (voters, judges, ...) give...
Data from rating scale assessments have rank-invariant properties only, which means that the data re...
An experiment in the field of social psychology is presented, emphasising the application of some le...
ordinal agreement coefficients, rank-order correlation, concordance, intraclass correlation, effect ...
The Kappa coefficient is widely used in assessing categorical agreement between two raters or two me...
The agreement between two raters judging items on a categorical scale is traditionally assessed by C...
Problem Statement: There have been many cases in real life where two independent sources have ranked...