Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A verification of algorithm on resilience leisure programs for the productive aging of the new elderly in Korea

한국 신노년층의 생산적 노화를 위한 회복탄력형 여가 프로그램 알고리즘 검증

  • 이은석 (가천대학교 운동재활복지학과) ;
  • 황희정 (가천대학교 컴퓨터공학과) ;
  • 심승구 (한국체육대학교 교양교직과정부) ;
  • 조건상 (부산대학교 체육교육과) ;
  • 안찬우 (대구한의대학교 실버스포츠학과)
  • Received : 2017.03.30
  • Accepted : 2017.05.20
  • Published : 2017.05.28
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Abstract

This study examines the verification of algorithm on resilience leisure programs for the productive aging of the new elderly in Korea. The subjects for this study were 525 new elderly who lived in metropolis, medium-sized cities and farming area. The reliability and validity test of the questionnaire were conducted by using SPSS 20.0 program; the results of tree analysis are as follows; First, The influential factor in the resilience leisure programs is subjective health status, desire for activity, interpersonal exchange and household income. The most influential resilience factor of algorithm is interpersonal relationship, self-regulating and affirmative. The structural algorithm of resilience was that low interpersonal relationship group related to the affirmative and high interpersonal relationship group related to the self-regulating.

이 연구는 한국 신노년층의 생산적 노화를 위한 회복탄력형 여가 프로그램 알고리즘을 검증하는데 목적이 있다. 연구의 목적을 달성하기 위해서 2014년 대도시와 중/소도시 그리고 농촌지역에 예비노인(56세-64세)을 모집단으로 설정하여 525명을 대상으로 설문조사를 실시하였으며, 수집된 자료는 SPSS 20.0프로그램을 이용하여 설문지의 신뢰도와 타당도검사, 의사결정나무분석을 실시한 결과 다음과 같은 결과를 도출하였다. 첫째, 의사결정나무분석을 이용한 회복탄력형 여가프로그램에 영향을 미치는 요인은 주관적 건강상태, 활동욕구, 대인관계교류, 가계소득으로 나타났다. 둘째, 의사결정 나무분석을 이용하여 회복탄력성 변인의 알고리즘을 분석한 결과, 대인관계성, 자기조절성, 긍정성 요인 순으로 나타났다. 회복탄력성의 구성요인들 간의 구조적 알고리즘은 대인관계성에 따라 대인관계성이 낮은 집단의 경우는 긍정성과 관련이 있고, 높은 집단은 자기조절성과 관련이 있음을 알 수 있었다.

Keywords

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