Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/11897
Title: Modelos multidimensionais de item na avaliação de ingresso da UFLA
Authors: Bueno Filho, Júlio Sílvio de Sousa
Keywords: Estatística educacional
Avaliação educacional
Teoria de Resposta ao Ítem (TRI)
Teoria bayesiana de decisão estatística
Modelo forward (Estatística)
Modelo bidimensional (Estatística)
Educational statistics
Educational evaluation
Item Response Theory (IRT)
Bayesian statistical decision theory
Forward model (Statistics)
Bidimensional model (Statistics)
Issue Date: 7-Oct-2016
Publisher: Universidade Federal de Lavras
Citation: MENDONÇA, J. D. Modelos multidimensionais de item na avaliação de ingresso da UFLA. 2016. 126 p. Tese (Doutorado em Estatística e Experimentação Agropecuária)-Universidade Federal de Lavras, Lavras, 2016.
Abstract: Item Response Theory (IRT) has been shown as a worhty tool to analyse educational data. However, choosing one out of many models is not a simple task. This is specially true when you can vary the dimension of models for each item. In this thesis we try to enlighten some statistical properties and the analytical potential to interpret multidimensional models of IRT (MIRT). In the first part a review of the literature is done foccusing on compensatory multidimensional models for items. This part bring a didactic effort to present a state of art description of the fully Bayesian MIRT analysis. This analysis is illustrated with data from entrance examination of candidates for Agronomy undergraduate program in the second semestre of 2006 at the Universidade Federal de Lavras (UFLA). The best model in this section is the one that has two dimensions for all items. Second part has two papers. The first discusses a forward type of model selection procedure to identify different dimensions for each model. The second bring a pedagogical analysis based on the same data using two dimensions model. As a final chapter we draw the last remarks on what was learned in our investigation.
URI: http://repositorio.ufla.br/jspui/handle/1/11897
Appears in Collections:Estatística e Experimentação Agropecuária - Doutorado (Teses)

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