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dc.contributor.authorHerington, C
dc.contributor.authorWeaven, S
dc.contributor.editorAlex C. Michalos
dc.date.accessioned2017-05-03T12:52:58Z
dc.date.available2017-05-03T12:52:58Z
dc.date.issued2008
dc.date.modified2011-06-30T08:41:01Z
dc.identifier.issn0167-4544
dc.identifier.doi10.1007/s10551-007-9451-z
dc.identifier.urihttp://hdl.handle.net/10072/22298
dc.description.abstractABSTRACT. In this article, cluster analysis is used to explore the conflicting results reported when the Defining Issues Test is used to explain moral reasoning ability in business situations. Using a convenience sample, gender, age, work experience, and ethics training were examined to determine their impact on the level of moral reasoning ability as measured by the Defining Issues Test. Using the whole sample, a significant difference was found for average P scores reported for males and females, but no significant differences were found based on age, work experience, and ethics training. However, the sample fell into distinct clusters that identified distinct male and female groupings. While females naturally fell into two distinct high- and low-moral reasoning ability clusters, male clusters were dominated more by work experience and ethics training. Clearly there are other factors mitigating the level of moral reasoning ability for males which require further exploration. The findings suggest that while the P score provides an initial point of comparison, the real benefit to the test is in exploring what is different for males and females in terms of training needs, and the impact of work experience on the moral reasoning ability, and most importantly, how to make ethics training enticing. Recommendations for future research are also discussed.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer Netherlands
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom499
dc.relation.ispartofpageto514
dc.relation.ispartofissue3
dc.relation.ispartofjournalJournal of Business Ethics
dc.relation.ispartofvolume80
dc.rights.retentionY
dc.subject.fieldofresearchMarketing
dc.subject.fieldofresearchApplied ethics
dc.subject.fieldofresearchcode3506
dc.subject.fieldofresearchcode5001
dc.titleImproving Consistency for DIT Results Using Cluster Analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Business School, Department of Marketing
gro.date.issued2008
gro.hasfulltextNo Full Text
gro.griffith.authorWeaven, Scott K.


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