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  • 标题:DETERMINATION OF FACTORS AFFECTING HAPPINESS LEVEL BY CLASSIFICATION TREE TECHNIQUE
  • 作者:Seda BAĞDATLI KALKAN Ph.D ; Yasemin BAHAR YÜCEL
  • 期刊名称:European Journal of Business and Social Sciences
  • 印刷版ISSN:2235-767X
  • 出版年度:2017
  • 卷号:6
  • 期号:2
  • 页码:54-62
  • 出版社:European Society of Business and Social Sciences
  • 摘要:Classification and regression tree techniques have beenoften used especially in the social sciences in recentyears. Since these techniques do not require anystatistical assumption, they make contribution to manyresearches. The data of life satisfaction questionnaire, applied byTurkish Statistical Institute (TSI) to 9397 people in Turkey in2015, was used in this study. The aim of the study is to determinethe factors that affect persons’ happiness level by using theclassification trees technique. The classification trees werecreated using Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detector (CHAID) algorithms.The created trees were construed comparatively.
  • 关键词:Classification and Regression Tree (CART) and;Chi-Squared Automatic Interaction Detector (CHAID); Life;Satisfaction; Happiness Level
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