Determination of factors affecting happiness level by classification tree technique

dc.authorid0000-0003-3002-2983en_US
dc.contributor.authorBağdatlı Kalkan, Seda
dc.contributor.authorYücel Bahar, Yasemin
dc.date.accessioned2019-10-23T07:33:11Z
dc.date.available2019-10-23T07:33:11Z
dc.date.issued2017en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractClassification and regression tree techniques have been often used especially in the social sciences in recent years. Since these techniques do not require any statistical assumption, they make contribution to many researches. The data of life satisfaction questionnaire, applied by Turkish Statistical Institute (TSI) to 9397 people in Turkey in 2015, was used in this study. The aim of the study is to determine the factors that affect persons’ happiness level by using the classification trees technique. The classification trees were created using Classification and Regression Tree (CART) and Chi- Squared Automatic Interaction Detector (CHAID) algorithms. The created trees were construed comparatively.en_US
dc.identifier.endpage62en_US
dc.identifier.issue2en_US
dc.identifier.startpage54en_US
dc.identifier.urihttps://hdl.handle.net/11467/3055
dc.identifier.volume6en_US
dc.language.isoenen_US
dc.publisherEJBSSen_US
dc.relation.ispartofEuropean Journal of Business and Social Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClassification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detector (CHAID)en_US
dc.subjectLife Satisfactionen_US
dc.subjectHappiness Levelen_US
dc.titleDetermination of factors affecting happiness level by classification tree techniqueen_US
dc.typeArticleen_US

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