In this paper, we present alternative frameworks for clustered ordinal data concerning a specific class of models denoted as CUB. Specifically, we analyze models that contain variables measured at different levels of the hierarchy by integrating them in a multi-context or multilevel structure. After a brief review on CUB models, we describe the two approaches and introduce the methodological issues for interpreting and discussing of the results
The CUB model is a class of model for ordinal data obtained as a mixture distribution. It is adopted...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
In rating surveys, people are requested to evaluate objects, items, services, and so on, by choosing...
Considerable progress in methodology development for the analysis of ordinal response data has been ...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
Hierarchical cub models are a generalization of cub models in which parameters are allowed to be ran...
estimate a CUB models within the framework of tree based methods in order to provide a tool for gro...
The paper introduces a new technique for growing trees for ordinal responses in the model-based fram...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
This chapter is devoted to regression models for ordinal responses with special emphasis on random e...
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2...
The CUB model is a class of model for ordinal data obtained as a mixture distribution. It is adopted...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
In rating surveys, people are requested to evaluate objects, items, services, and so on, by choosing...
Considerable progress in methodology development for the analysis of ordinal response data has been ...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
Hierarchical cub models are a generalization of cub models in which parameters are allowed to be ran...
estimate a CUB models within the framework of tree based methods in order to provide a tool for gro...
The paper introduces a new technique for growing trees for ordinal responses in the model-based fram...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
n Module 6 we saw how multiple regression models for continuous responses can be generalised to hand...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
This chapter is devoted to regression models for ordinal responses with special emphasis on random e...
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2...
The CUB model is a class of model for ordinal data obtained as a mixture distribution. It is adopted...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
In rating surveys, people are requested to evaluate objects, items, services, and so on, by choosing...