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dc.contributor.authorMunoz, Juan F
dc.contributor.authorHerzallah, Ahmad M.
dc.contributor.authorGutiérrez-Gutiérrez, Leopoldo
dc.date.accessioned2018-09-05T11:32:48Z
dc.date.available2018-09-05T11:32:48Z
dc.date.issued2014-06-10
dc.identifier.issn0263-2241
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/849
dc.description.abstractMeasurement scales used by many studies in social sciences must satisfy some psychometric conditions to make them valid and reliable. Some conditions are verified by using different statistical techniques within an iterative process, which generally requires a considerable amount of time for the user. We present a computational algorithm for the reliability and the study of unidimensionality associated to measurement scales. The suggested algorithm is implemented using the popular statistical software R. Codes are written in the form of R functions and therefore can be easily used. Assuming real data extracted from the industrial sector, the proposed R codes are used to study the reliability and the unidimensionality of measurement scales. This can serve as a practical guide to show how to use the R functions.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectQuestionnairesen_US
dc.subjectCronbach’s Alphaen_US
dc.subjectPrincipal Component Analysisen_US
dc.subjectConfirmatory Factor Analysisen_US
dc.titleAlgorithms and R Codes for the Analysis of Reliability and Unidimensionality of Measurement Scales:Application to Total Quality Management Practicesen_US
dc.typeArticleen_US


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