Statistical methods for the analysis of ordinal response data

Abstract

Ordinal response models and in particular cumulative link models are the most prevalent techniques for modelling ordered response data. This thesis examines the advantages of these models versus other approaches in the socio-economic literature and assesses the performance of available residual diagnostics measures by means of simulation studies and four case studies. Furthermore, it proposes solutions to specific issues of flexible versions of cumulative link models