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http://dx.doi.org/10.14400/JDC.2020.18.6.297

Analysis of Korean Adolescents' Life Satisfaction based on Public Database and Data Mining Techniques: Emphasis on Decision Tree  

Jo, Hyun Jin (SKK Business School, Sungkyunkwan University)
Ko, Geo Nu (Department of International Business & Trade, Kyung Hee University)
Lee, Kun Chang (Global Business Administration/Department of Health Sciences & Technology, SAIHST(Samsung Advanced Institute for Health Sciences & Technology), Sungkyunkwan University)
Publication Information
Journal of Digital Convergence / v.18, no.6, 2020 , pp. 297-309 More about this Journal
Abstract
This study focuses on the application of the data mining technique logistic regression analysis and decision tree analysis to the domestic public database called Korean Children Youth Panel Survey (KCYPS) to derive a series of important factors affecting the enhancement of life satisfaction of domestic youth. As a result, the general impact factors on life satisfaction for each grade were derived from logistic regression. Using decision tree analysis, we came to conclusions that those factors such as depression, overall grade satisfaction, household economic level, and school adaptation play crucial roles in affecting high school adolesscents' life satisfaction.
Keywords
Korean Children and Youth Panel Survey(KCYPS); Data Mining; Logistic regression; Decision Tree Analysis; Life Satisfaction;
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Times Cited By KSCI : 4  (Citation Analysis)
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