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Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone

Academic Article
Publication Date:
2019
Abstract:
In this paper we discuss the article “The class of CUB models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo e Rosaria Simone. The main considered topic is the decision process that, according to the CUB paradigm, leads the respondent to express a rating about a latent trait on a given ordinal scale. We discuss a generalized formalization of this decision process, comprising the basic CUB model, some already existing extensions and possible future developments.
CRIS type:
1.1 Articolo in rivista
Keywords:
CUB models; Decision process; Latent variables; Mixture distributions; Ordinal data; Rating
List of contributors:
Manisera, M.; Zuccolotto, P.
Authors of the University:
MANISERA Marica
ZUCCOLOTTO Paola
Handle:
https://iris.unibs.it/handle/11379/524912
Published in:
STATISTICAL METHODS & APPLICATIONS
Journal
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