Journal
MATHEMATICS AND COMPUTERS IN SIMULATION
Volume 73, Issue 5, Pages 336-340Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.matcom.2006.08.001
Keywords
Cronbach's alpha; simulation; statistical significance
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In this work we propose the use of simulation for the solution of the Cronbach's alpha statistical significance problem. This coefficient measures the reliability of a questionnaire's answers. Many analytical tests have been developed over the years which gave birth to very complicated formulas [2,4,6-9]. A simulation approach to the solution of this problem takes advantage of the computational power in order to give exact results for the distribution of the null hypothesis regarding this coefficient. (c) 2006 IMACS. Published by Elsevier B.V. All rights reserved.
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