An Extension of the Arab Personality Inventory: The Relationship between Dominant Personality Profile(s) and University Fields

dc.contributor.AUBidnumber201502524en_US
dc.contributor.advisorSammouri, Wissam
dc.contributor.advisorDaouk-Öyry, Lina
dc.contributor.authorKaram, Fabienne
dc.contributor.commembersSammouri, Wissam
dc.contributor.commembersDaouk-Öyry, Lina
dc.contributor.degreeMSen_US
dc.contributor.departmentBusiness Analyticsen_US
dc.contributor.facultySuliman S. Olayan School of Businessen_US
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2022-02-08T06:08:07Z
dc.date.available2022-02-08T06:08:07Z
dc.date.issued2/8/2022
dc.date.submitted2/7/2022
dc.description.abstractThe general goal of the current study was to link the seven API personality factors to the educational field. Moreover, the research question that was looked into was what combination of API factor-score contributes to students feeling better fit in their educational fields. This study is based on the API short, which summarizes personality into seven factors across the Arab Levant. The educational majors that make up those fields (Sciences and Social Sciences, Business, Arts, and Engineering and Architecture) are majors that students say they have the right personality for as well as majors they think they would have fit in had given the chance. Based on the Association Rule Mining and Apriori algorithm, the top ten rules per field were identified and used to highlight the relationship between the factors and the field at hand. From which, further analysis and implications have been made based on the results.en_US
dc.identifier.urihttp://hdl.handle.net/10938/23345
dc.language.isoen_USen_US
dc.subjectPersonalityen_US
dc.subjectPersonality Testen_US
dc.subjectUniversity Majorsen_US
dc.subjectArab Personality Inventoryen_US
dc.subjectAPIen_US
dc.subjectEducational settingen_US
dc.titleAn Extension of the Arab Personality Inventory: The Relationship between Dominant Personality Profile(s) and University Fieldsen_US
dc.typeThesisen_US

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