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  • 标题:AN IF-ITEM-DELETED SENSITIVE ANALYSIS OF CRONBACH’S ALPHA TECHNIQUE USING SIMULATED ANNELING ALGORITHM
  • 本地全文:下载
  • 作者:Valdecy Pereira ; Henrique Rego Monteiro da Hora ; Helder Gomes Costa
  • 期刊名称:Cadernos do IME - Série Estatística
  • 印刷版ISSN:2317-4536
  • 出版年度:2014
  • 卷号:36
  • 期号:1
  • 页码:29
  • 语种:English
  • 出版社:Cadernos do IME - Série Estatística
  • 摘要: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.
  • 其他摘要: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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