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dc.contributor.authorOpstad, Leiv
dc.date.accessioned2020-08-31T08:37:48Z
dc.date.available2020-08-31T08:37:48Z
dc.date.created2020-07-31T15:33:55Z
dc.date.issued2020
dc.identifier.citationSustainability. 2020, 12 (15), .en_US
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/11250/2675628
dc.description.abstractThe purpose of this article was to investigate different variables, by combining mathematical skills and personal traits using The Big Five Model, to see which have the most influence on business students’ attitudes towards statistics. The Big Five personality traits make up a model for capturing various personal characteristics. Specifically, we aimed to understand why there is a gender difference in attitudes towards statistics. Statistical skills are a key factor for success in business studies. The chosen methods were pairwise comparisons (t-test) and a linear regression model, using a sample from a Norwegian business school. The finding was that there is a substantial gender gap towards attitudes towards statistics but taking mathematical skills and personal characteristics into consideration then results in this gap becoming much smaller. Furthermore, mathematical skills and personal traits were shown to have an impact on students’ attitudes towards statistics.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAttitudes towards Statistics among Business Students: Do Gender, Mathematical Skills and Personal Traits Matter?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber16en_US
dc.source.volume12en_US
dc.source.journalSustainabilityen_US
dc.source.issue15en_US
dc.identifier.doi10.3390/su12156104
dc.identifier.cristin1821152
dc.description.localcode© 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1


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