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Showing 1 results for Explanatory Factor Analysis

Neda Vaziri, Ali Ardalan, Elham Ahmadnezhad, Abbas Rahimi Foroshan,
Volume 14, Issue 1 (6-2015)
Abstract

Background: Emergency operation centers (EOC) have been established in recent years aimed to organize and coordinate through disasters. These centers are responsible for decision-making in response and recovery phases after events. This study is aimed to develop a standard function evaluation criteria for EOC.

Materials and Methods: This mixed method study with sequential triangulation approach had been conducted in 1391 among employees of  EOCs which have been running experience  for minimum of one year . validity and reliability of questionnaire had been confirmed by  face and content validity and Cronbach's alpha respectively. The most important factors have been determined by an Explanatory factor analysis which also helped reducing number of questions.

Results: Final tool by six domains had 38 questions. All content validities were higher than +0.6 apart from one at +0.1. Only the activation domain had inappropriate Cronbach at 0.337 and all others were higher than 0.7. Factor analysis reduced number of questions in each domain. Explanatory factor analysis reduced number of questions from the views of information assessment, activation  and coordination and other domains to 5 ,2 and 1 respectively.

Conclusion:It seems that mentioned questionnaire could be an appropriate criteria for assessing performance of EOCs due to its validity and reliability according . The high reliability was resulted from closed correlation of. Appropriate quantity of validity implied EOC personnel great depth of knowledge on all questions asked.



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