What is it about?
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.
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Why is it important?
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.
Perspectives
The obtained solution indicates the deletion of 8 items for maximum alpha or 2 items to exclude the most problematic items.
Professor Helder Gomes Costa
Universidade Federal Fluminense
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This page is a summary of: AN IF-ITEM-DELETED SENSITIVE ANALYSIS OF CRONBACH’S ALPHA TECHNIQUE USING SIMULATED ANNELING ALGORITHM, Cadernos do IME - Série Estatística, November 2014, Universidade de Estado do Rio de Janeiro,
DOI: 10.12957/cadest.2014.15758.
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