  A measure of interrater absolute agreement for ordinal scales is proposed
capitalizing on the dispersion index for ordinal variables proposed by Giuseppe
Leti. The procedure allows to avoid the problem of restriction of variance that
sometimes affect traditional measures of interrater agreement in different
fields of application. An unbiased estimator of the proposed measure is
introduced and its sampling properties are investigated. In order to construct
confidence intervals for interrater absolute agreement both asymptotic results
and bootstrapping methods are used and their performance is evaluated.
Simulated data are employed to demonstrate the accuracy and practical utility
of the new procedure for assessing agreement. Finally, an application to a real
case is provided.
