Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Analysis of Korean Adolescents' Life Satisfaction based on Public Database and Data Mining Techniques: Emphasis on Decision Tree

공공 DB 데이터마이닝 기법을 활용한 국내 청소년 삶의 만족도 분석에 관한 실증연구: 의사결정나무 기법을 중심으로

  • 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)
  • 조현진 (성균관대학교 경영학과) ;
  • 고건우 (경희대학교 무역학과) ;
  • 이건창 (성균관대학교 글로벌 경영학과/삼성융합의과학원(SAIHST) 융합의과학과)
  • Received : 2020.04.01
  • Accepted : 2020.06.20
  • Published : 2020.06.28
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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.

본 연구는 국내 공공 DB에 데이터마이닝 기법인 로지스틱 회귀분석과 의사결정나무 분석을 적용하여 국내 청소년의 삶의 만족도 증진에 관한 의미 있는 의사결정 규칙을 추출하는 과정을 분석한다. 분석을 위하여 한국아동·청소년패널조사(KYCPS) 중에서 중1 패널데이터의 4~6차연도 자료인 고등학생 학년별 자료를 활용하였다. 로지스틱 회귀분석으로 추출된 영향요인은 1학년은 전체 성적 만족도, 주의집중 문제, 우울, 자아 탄력성, 애정, 과잉간섭, 학습활동, 교사관계, 2학년은 가정의 경제 수준, 건강상태, 전체 성적 만족도, 신뢰, 소외, 학습활동, 학교규칙, 교우관계, 교사 관계, 3학년은 가정의 경제 수준, 전체 성적 만족도, 우울, 자아 탄력성, 애정, 학대, 학교규칙, 교사 관계로 나타났다. 의사결정나무 기법을 적용한 결과 국내 고등학생의 삶의 만족도는 개인의 정서 문제, 학교성적, 가정의 경제적 환경, 학교적응 등에 의하여 복합적으로 영향을 받는 것으로 파악되었다.

Keywords

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