Effect measures for group comparisons in a two-component mixture model: a cyber risk analysis

This article deals with ordinal effect measures in the cup models. They are mixture models for ordinal data with an uncertainty component, where the Uniform distribution is used to model indecision and the standard cumulative model is employed for the analysis of evaluation. We present probability-based measures for comparing clusters on ratings, while adjusting for other explanatory variables, and discuss marginal effects to address the interpretation of the results on the extreme categories of a cyber risk scale.