Upcoming GRBIO seminars

Online. If you want to attend, please, contact grbio@grbio.eu

Content: (To be announced)

Online. If you want to attend, please, contact grbio@grbio.eu

Content: (To be announced)

Online. If you want to attend, please, contact grbio@grbio.eu

Advances in the analysis of human perceptions within the CUB framework

Questionnaires are widely used across various research fields to assess latent traits such as perceptions, opinions, and attitudes. These traits are typically measured using rating scales like Likert or Semantic Differential scales, generating ordinal data. Analyzing such data presents unique challenges, for which specialized models have been developed. Among these, the CUB (Combination of discrete Uniform and shifted Binomial random variables) class of models stands out as a prominent approach in the literature. CUB models assume that respondents' ratings result from the interplay of two distinct psychological components: feeling, representing a rational response, and uncertainty, reflecting indecision. This talk provides an introduction to CUB models and presents new theoretical contributions to their development. Additionally, an application of these models to analyze the synesthetic experience of museum visitors is presented, showing their practical relevance in studying human perceptions.

Biosketch

Matteo Ventura is completing his PhD in Statistics at the University of Brescia, Italy. His research focuses on both the methodological and applied aspects of Statistical Sciences. His primary interests lie in mixture models and ordinal data, with applications across various fields, including marketing, tourism, culture, and psychology. Additionally, he is interested in graphical models with applications to social sciences and ecology.