Discussion of 'The class of CUB models: statistical foundations, inferential issues and empirical evidence'

Autor:	Anna Gottard, Sabrina Giordano, Roberto Colombi
Rok vydání:	2019
Předmět:	Statistics and Probability Multivariate statistics Class (computer programming) Marginal model Settore SECS-P/02 - Politica Economica Mixture model Single item Data science CUB models Focus (linguistics) Ordinal data Statistics Probability and Uncertainty Psychology Association (psychology) Empirical evidence
Zdroj:	Statistical Methods & Applications. 28:441-444
ISSN:	1613-981X 1618-2510
DOI:	10.1007/s10260-019-00463-z
Popis:	We focus on on the multivariate extensions of CUB/GEM models. The interest of rating surveys is rarely focused on a single item or on a single aspect of an item. Respondents are often requested to express their opinion on different aspects of an issue and in such cases it is not negligible the roleof the interdependence of the answers of the same individual. With this aim in mind, we comment some existing classes of multivariate CUB models and present the advantages of a recent proposal.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::906683747e2c9074bfe6996b2f3a0948 https://doi.org/10.1007/s10260-019-00463-z Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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