[ABE-L] Ciclo de Palestras PPG Estatística UFRJ (Vitor Capdeville - 26/05 às 15:30)

[Kelly Cristina]

Prezados,

dando continuidade ao Ciclo de Palestras do Programa de Pós-Graduação
em Estatística do IM-UFRJ, *na próxima 4a feira, 26/05/21, às 15:30*,
teremos a palestra do nosso aluno:

*Vitor Capdeville (Mestrando do PPGE-UFRJ)*

*Título: *Bayesian factor models for multivariate categorical data obtained
from questionnaires

*Resumo: *Factor analysis is a flexible technique for assessment of
multivariate dependence and codependence. Besides being an exploratory tool
used to reduce the dimensionality of multivariate data, it allows
estimation of common factors that often have an interesting theoretical
interpretation in real problems. However, standard factor analysis is only
applicable when the variables are scaled, which is often inappropriate, for
example, in data obtained from questionnaires in the field of psychology,
where the variables are often categorical. In this framework, we propose a
factor model for the analysis of multivariate ordered and non-ordered
polychotomous data. The inference procedure is done under the Bayesian
approach via Markov chain Monte Carlo methods. Two Monte Carlo simulation
studies are presented to investigate the performance of this approach in
terms of estimation bias, precision and assessment of the number of
factors. We also illustrate the proposed method to analyze participants’
responses to the Motivational State Questionnaire dataset, developed to
study emotions in laboratory and field settings.

*Atenção:* A palestra ocorrerá remotamente com transmissão ao vivo pelo
canal do YouTube  Ciclo de Palestras Estatística UFRJ
<https://www.youtube.com/channel/UCoLTqHW20Ne1qFYL2xYJOcg>.

Contamos com a presença de vocês.
Acompanhem a atualização da programação do nosso ciclo de palestras no
site  http://www.dme.ufrj.br/?page_id=3037.

Atenciosamente,

-- 
*Kelly C. M. Gonçalves*
*Professora Adjunta IV*
*Departamento de Métodos Estatísticos*
*Universidade Federal do Rio de Janeiro*
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