Ircres Seminars: an overview of CUB models for the analysis of rating data
Il 17/12/2021 ore 10.00 - 12.00
On line
Many survey questions are designed as ordered rating variables to assess the extent by which perception and opinions hold among respondents.
These responses cannot be treated as objective measures, and a proper statistical analysis to account for their fuzziness is the class of CUB mixture models, acronym of Combination of Uniform and Shifted Binomial (Piccolo and Simone 2019), establishing a different paradigm to model both substantial feeling towards the item (i.e. latent sentiment) and uncertainty.
Uncertainty can be considered as a noise for feeling measurement taking the form of heterogeneity of the distribution in its baseline specification: adjusted specifications are possible to encompass inflated frequencies, for instance.
Featuring parameters can be linked to subjects’ characteristics to derive response profiles. Then, different items (possibly measured on scales with different lengths) and groups of respondents can be represented and compared through effective visualization tools.
The talk is tailored to present CUB modelling and its applicative extent, from its rationale to the latest methodological advances: computational aspects and available software implementation will be also illustrated.
Organizzato da:
Institute on sustainable economic growth (Cnr-Ircres)
Referente organizzativo:
Lucio Morettini
Cnr-Ircres
Via dei Taurini, 19 Roma
lucio.morettini@ircres.cnr.it
06/4993.7851
Modalità di accesso: ingresso libero
The seminar will be held in Italian and online only.
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