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청소년의 다문화 수용성 구조 모형 구축

A Structural Equation Model on Korean Adolescents' Multi-cultural Acceptance

  • Lee, Ha-na (Department of Nursing, Dongyang University)
  • 투고 : 2017.12.18
  • 심사 : 2018.02.02
  • 발행 : 2018.02.28

초록

본 연구는 청소년의 다문화 수용성의 영향을 미치는 요인들 사이의 관계를 확인하고 모델을 구축하기 위해 시도되었다. 이 연구는 2016 한국아동 청소년 패널조사(korean children and youth panel survey: kcps)의 자료 중 7차년도 자료를 이용하였으며, 청소년 본인 1881명 중 응답률이 불충분한 101명을 제외한 1780명을 최종 분석에 활용 하였다. 본 연구의 자료분석은 SPSS 22와 Amos Program 22를 이용하여 유의수준 .05 수준에서 분석하였으며, 대상자의 인구학적 특성과 연구변수의 특성을 파악하기 위해 기술 통계 분석(descriptive analysis)을 실시하였다. 가설적 모형의 적합도 검증 및 가설 검증은 최대우도법(maximum likelihood estimate)을 사용하였으며 모형 적합도 평가는 $X^2$ 통계량, GFI, AGFI, CFI, IFI, RMSEA를 이용하였다. 본 연구의 모형은 우수한 모델 적합도를 나타내었으며, 자아탄력성, 또래관계, 공동체 의식은 청소년의 다문화 수용성에 영향을 주는 요인임을 확인 할 수 있었다. 따라서 청소년의 다문화 수용성을 증진시키기 위해, 자아탄력성, 또래관계, 공동체 의식을 높일 수 있는 혼합형 중재가 필요할 것임을 제안한다.

This study was conducted to develop a unified structural model that defines relationships among factors that affect Multi Cultural Acceptance (MCA) for adolescents. This study was performed using the dataset from the 2016 Korean Children and Youth Panel Survey (KCPS). We analyzed the survey result from the dataset at the 0.05 significance level using the SPSS and AMOS version 22 programs. Specifically, we investigated several demographic characteristics of the survey participants by a descriptive analysis method that adopted the maximum likelihood estimate method to verify the fitness of the hypothetical model and the hypotheses therein. In addition, we applied the ${\chi}^2$-test, GFI, AGFI, CFI, IFI, and RMSEA to show the fitness level of our structural model. The results showed that our proposed structural model demonstrated a fine fitness level. We found that key factors that affect MCA for adolescents were ego-resilience, peer relationships, and sense of community. Overall, the results of our study indicate that combinational intervention is needed to help adolescents lift their ego-resilience, as well as to develop peer relationships and a sense of community.

키워드

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