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, V., Hora, H. R. M. da, Costa, H. G., & Nepomuceno, L. D. de O. (2014). AN IF-ITEM-DELETED SENSITIVE ANALYSIS OF CRONBACH’S ALPHA TECHNIQUE USING SIMULATED ANNELING ALGORITHM. Cadernos Do IME - Série Estatística, 36(1), 29. https://doi.org/10.12957/cadest.2014.15758

Edição

Seção

Artigos Serie Estatística