an if-item-deleted sensitive analysis of cronbach’s alpha technique using simulated anneling algorithm
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Abstract
<doi>10.12957/cadest.2014.15758
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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pereira2014cadernosan
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| Authors | ;Valdecy Pereira;Henrique Rego Monteiro da Hora;Helder Gomes Costa;Lívia Dias de Oliveira Nepomuceno |
| Journal | bmc medicine |
| Year | 2014 |
| DOI |
10.12957/cadest.2014.15758
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| URL | |
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