Item Response Theory in R Software as Support in Engineering Teaching and Learning

Authors

  • Olga Maria Formigoni Carvalho Walter Doutoranda do Programa de Pós-Graduação em Engenharia de Produção - UFSC
  • Andréa Cristina Konrath Universidade Federal de Santa Catarina - UFSC - Departamento de Informática e Estatística
  • Elisa Henning Universidade do Estado de Santa Catarina - UDESC - Departamento de Matemática
  • Antonio Cezar Bornia Universidade Federal de Santa Catarina - UFSC - Departamento de Engenharia de Produção

DOI:

https://doi.org/10.5752/P.2316-9451.2020v8n2p61-84

Keywords:

Item Response Theory. ltm. irtoy. Teaching. R software.

Abstract

This paper is an exploratory study that aims to investigate the use of irtoys and ltm packages, specific for Item Response Theory (IRT) analysis in the R software. The data used are from the 2014 National Examination of Student Performance (ENADE) applied to the undergraduate course in Production Engineering. ENADE is a compulsory curricular component of undergraduate courses, in which concluding students participate. The results show that, in general, the two packages offer the same functionalities and are stable in the applications studied. We concluded that both packages can aid in the analysis and interpretation, constituting a useful tool to complement the teaching and learning of IRT.

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Published

2020-11-24

How to Cite

WALTER, Olga Maria Formigoni Carvalho; KONRATH, Andréa Cristina; HENNING, Elisa; BORNIA, Antonio Cezar. Item Response Theory in R Software as Support in Engineering Teaching and Learning. Abakós, Belo Horizonte, v. 8, n. 2, p. 61–84, 2020. DOI: 10.5752/P.2316-9451.2020v8n2p61-84. Disponível em: https://periodicos.pucminas.br/abakos/article/view/19507. Acesso em: 25 oct. 2025.

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Artigos completos / Full papers

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