Determination of factors affecting happiness level by classification tree technique
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
EJBSS
Access Rights
info:eu-repo/semantics/openAccess
Abstract
Classification 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.
Description
Keywords
Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detector (CHAID), Life Satisfaction, Happiness Level
Journal or Series
European Journal of Business and Social Sciences
WoS Q Value
Scopus Q Value
Volume
6
Issue
2
