Ban Estimates of Class Boundaries Under Likert-Type Scaling

Abstract

Abtsrcat

We prove that under very mild assumptions, the estimated class boundaries for the method of Likert-type scaling are Best Asymptotic Normal estimators of the true values. Also, we show that in the situation where the number of categories increases with sample size, the estimates are uniformly consistent under suitable conditions.