AN IF-ITEM-DELETED SENSITIVE ANALYSIS OF CRONBACH’S ALPHA TECHNIQUE USING SIMULATED ANNELING ALGORITHM

Autores

  • Valdecy Pereira UFF/PURO
  • Henrique Rego Monteiro da Hora IFF
  • Helder Gomes Costa UFF
  • Lívia Dias de Oliveira Nepomuceno CEFET-RJ

DOI:

https://doi.org/10.12957/cadest.2014.15758

Resumo

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This work proposes a nonlinear model and also a solution method to improve the overall Cronbach’s alpha coefficient technique, by grouping items of an instrument (questionnaire) that should be considered to deletion. The classical method called if-item-deleted Alpha also improves the overall reliability, however it considerers the deletion of only one item per time. Due to the combinatorial nature of the proposed model, a simulated annealing algorithm was implemented in order to achieve optimal or near optimal solutions. We presented an example for a simulated questionnaire with 15 items and 22 respondents. The obtained solution indicates the deletion of 8 items for maximum alpha or 2 items to exclude the most problematic items.

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Publicado

2014-11-07

Como Citar

PEREIRA, Valdecy; HORA, Henrique Rego Monteiro da; COSTA, Helder Gomes; NEPOMUCENO, Lívia Dias de Oliveira. AN IF-ITEM-DELETED SENSITIVE ANALYSIS OF CRONBACH’S ALPHA TECHNIQUE USING SIMULATED ANNELING ALGORITHM. Cadernos do IME - Série Estatística, Rio de Janeiro, v. 36, n. 1, p. 29, 2014. DOI: 10.12957/cadest.2014.15758. Disponível em: https://www.e-publicacoes.uerj.br/cadest/article/view/15758. Acesso em: 1 maio. 2025.

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Artigos Serie Estatística

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