A simulation approach on Cronbach's alpha statistical significance
| dc.contributor.author | Leontitsis, Al. | en |
| dc.contributor.author | Pagge, Jenny | en |
| dc.date.accessioned | 2015-11-24T18:45:43Z | |
| dc.date.available | 2015-11-24T18:45:43Z | |
| dc.identifier.issn | 0378-4754 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/17937 | |
| dc.rights | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Αγωγής. Παιδαγωγικό Τμήμα Νηπιαγωγών | - |
| dc.subject | Cronbach's alpha | en |
| dc.subject | Simulation | en |
| dc.subject | Statistical significance | en |
| dc.title | A simulation approach on Cronbach's alpha statistical significance | en |
| heal.abstract | 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. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | http://dx.doi.org/10.1016/j.matcom.2006.08.001 | - |
| heal.identifier.secondary | http://www.sciencedirect.com/science/article/pii/S0378475406002059 | - |
| heal.journalName | Mathematics and Computers in Simulation | en |
| heal.journalType | peer-reviewed | - |
| heal.publicationDate | 2007 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιών | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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