Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/17937
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLeontitsis, Al.en
dc.contributor.authorPagge, Jennyen
dc.date.accessioned2015-11-24T18:45:43Z-
dc.date.available2015-11-24T18:45:43Z-
dc.identifier.issn0378-4754-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/17937-
dc.rightsΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Αγωγής. Παιδαγωγικό Τμήμα Νηπιαγωγών-
dc.subjectCronbach's alphaen
dc.subjectSimulationen
dc.subjectStatistical significanceen
dc.titleA simulation approach on Cronbach's alpha statistical significanceen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryhttp://dx.doi.org/10.1016/j.matcom.2006.08.001-
heal.identifier.secondaryhttp://www.sciencedirect.com/science/article/pii/S0378475406002059-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιώνel
heal.publicationDate2007-
heal.abstractIn 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.en
heal.journalNameMathematics and Computers in Simulationen
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

Files in This Item:
File Description SizeFormat 
pagge-2007-simulation approach on cronbach's....pdf139.5 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons