인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society Vol.28 No.2
- 발행연도
- 2026.4
- 수록면
- 543 - 557 (15page)
- DOI
- 10.37727/jkdas.2026.28.2.543
이용수
초록· 키워드
This study investigates the heterogeneity associated with multicultural acceptance among multicultural adolescents in South Korea by integrating machine learning with latent profile analysis (LPA). Utilizing a sample of 1,146 adolescents, the research employed a two-stage analytical framework: first, identifying key predictors through random forest and XGBoost algorithms, and second, delineating latent subgroups via LPA. Machine learning results demonstrated that school life satisfaction, academic satisfaction, and peer relationships were the most robust predictors of the multicultural acceptance, outperforming individual psychological symptoms. Subsequent LPA identified three distinct profiles: (1) individuals with consistently high levels of psychosocial and relational resources; (2) those characterized by uniformly low levels across psychosocial indicators; and (3) a moderately disadvantaged group showing slightly average levels across dimensions. These findings contribute to enhancing multicultural acceptance among multicultural adolescents by facilitating differentiated intervention strategies. These results provide a foundation for fostering successful integration into Korean society by enhancing institutional belonging and social cohesion.
#Multicultural Acceptance
#Machine Learning
#Latent Profile Analysis
#Multicultural Adolescents
#MAPS
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목차
- Abstract
- 1. Introduction
- 2. Methods
- 3. Research design
- 4. Results
- 5. Conclusion
- References
참고문헌
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