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A Latent Profile Analysis of Middle School Students' Core Competencies: Focused on the Effects of ParentChild Relationships

중학생의 핵심역량 잠재프로파일 분류 및 부모자녀와의 관계 탐색

  • Received : 2022.06.15
  • Accepted : 2022.06.29
  • Published : 2022.06.30

Abstract

The purpose of this study was to identify the latent profiles according to the core competencies of middle school students and to examine whether the parent-child relationship predicts the latent profiles based on the core competencies for students defined by the Korean Ministry of Education. To achieve the purpose of the study, a total of 6,065 second-year middle school students were analyzed from the fourth year of the Korean Educational Longitudinal Study (KELS 2013), which was conducted by the Korean Educational Development Institute in 2016. The results of latent profile analysis and multinomial logistic regression are as follows. First, three latent profiles (higher competency group (19.54%), middle competency group (49.03%), and lower competency group (31.43%)) were derived according to the core competencies. For all groups, the highest competency was communication ability, and the lowest was creative ability. Second, the variables of the parent-child relationship (i.e., parental academic support, emotional support, and attachment level) were significant in predicting differences among the core competency latent profiles. In particular, the emotional support of parents was found to have the greatest influence on the core competencies of middle school students. This study identified the influence of the parent-child relationship on the development of core competencies. Further, it showed that a good family relationship is important for the holistic development of adolescents.

본 연구는 중학생의 핵심역량에 따른 잠재프로파일을 분류하고, 부모자녀 관계가 핵심역량 잠재프로파일을 다르게 예측하는지 살펴보는 데 목적이 있었다. 이를 위해 2016년에 실시된 '한국교육종단연구 2013' 4차년도 자료 중 중학생 2학년 6,065명을 대상으로 분석하였다. 잠재프로파일 분석과 다항 로지스틱 회귀분석을 실시한 결과는 다음과 같다. 첫째, 핵심역량에 따라 3개 잠재프로파일('상위 역량 집단(19.54%)', '중위 역량 집단(49.03%)', '하위 역량 집단(31.43%)')을 도출하였다. 모든 집단에서 공통적으로 의사소통 역량이 가장 높고, 창의적 사고 역량이 가장 낮게 나타났다. 둘째, 부모자녀 관계 변인(부모의 학업적 지원과 정서적 지원, 애착 수준)은 모두 각 핵심역량 잠재프로파일별 유의한 차이를 예측하였다. 특히 부모의 정서적 지원은 중학생의 핵심역량에 가장 큰 영향을 미치는 것으로 나타났다. 본 연구는 핵심역량 발달에 있어 부모자녀 관계의 영향력을 파악하고, 나아가 가족관계가 청소년의 전인적 발달에 중요함을 보여주었다.

Keywords

References

  1. An, S. (2000). A study on the addictive usage of the internet. Unpublished master's thesis, Yonsei University, Seoul, Korea.
  2. Asparouhov, T., & Muthen, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using M plus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329-341. doi:10.1080/10705511.2014.915181
  3. Bae, S. M., Park, J. K., & Ko, Y. S. (2012). The relationships between parent-child communication and internet addiction: Dual mediating effects of psychological, behavioral problem and internet use motivation. The Korean Journal of School Psychology, 9(3), 529-544. https://doi.org/10.16983/KJSP.2012.9.3.529
  4. Bergman, L. R., & Magnusson, D. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9(2), 291-319. doi:10.1017/s095457949700206x
  5. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Massachusetts: Harvard University press.
  6. Chong, Y. S. (1992). The relation between family environment, mother's psychosocial competence and children's social. Korean Journal of Human Ecology, 1(1), 27-55.
  7. Chung, H., Won, J., & Park, S. (2018). Classifying the academic achievements and core competencies of adolescents and testing the effects of variable factors. Studies on Korean Youth, 29(2), 185-215. doi:10.14816/sky.2018.29.2.185
  8. Clark, S. L., & Muthen, B. (2009). Relating latent class analysis results to variables not included in the analysis. Retrieved from https://www.researchgate.net/publication/237346694
  9. Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral and health sciences. New York: Wiley. doi:10.1002/9780470567333
  10. Hong, H. J. (1999). Paradigm shift in national curriculum development an quality control: From total revision paradigm to partial improvement paradi. The Journal of Curriculum Studies, 17(2), 209-234.
  11. Hong, H. J. (2006). Paradigm shift in curriculum development and quality control of Korean national curriculum standards(3): Focused on the relationship between general guidelines and subject-area curriculum. The Journal of Curriculum Studies, 24(2), 183-206.
  12. Hoy, W. K., & Sweetland, S. R. (2001). Designing better schools: The meaning and measure of enabling school structures. Educational Administration Quarterly, 37(3), 296-321. doi:10.1177/00131610121969334
  13. Hwang, H., & Kim, N. (2018). Understanding parenting style profiles: Characteristics and longitudinal change. Asian Journal of Education, 19(3), 679-702. doi:10.15753/aje.2018.09.19.3.679
  14. Kang, J.-H., & Lee, E.-H. (2009). Affectionate and self-regulating parenting behavior and adolescents' abilities to empathize: The mediating role of the big-five personality. Studies on Korean Youth, 20(4), 71-103.
  15. Kil, H., & Kim, J. (2018). Influence of key elements of competencybased curriculum on competencies of middle school student. Korean Journal of Educational Research, 56(4), 289-315. doi:10.30916/KERA.56.4.289
  16. Kim, A. Y. (2014). A key competency for future education: Selfdirectedness. The Korean Journal of Educational Psychology, 28(4), 593-617. doi:10.17286/KJEP.2014.28.4.03
  17. Kim, B.-S. (2009). A study on the relationship among family strengths, cultural disposition and interpersonal relations dispositions in adolescent's sex. Journal of Home Economics Education Research, 21(4), 91-103.
  18. Kim, C.-J. (2008). The environments variables that affect adolescents' creative personality. The Journal of Yeolin Education, 16(3), 159-181.
  19. Kim, E. H., & Yoo, S. K. (2012). Influence of family resilience on social competence of children living in poverty. Korean Journal of Family Social Work, 35, 145-171.
  20. Kim, H.-B. (2015). The relationship among parental social support, self-efficacy and school adjustment of elementary students. The Korea Journal of Sport, 13(4), 443-452.
  21. Kim, K. J., Kim, A. Y., & Cho, S. H. (1997). Conceptualization of creative problem solving for the development of curriculum for school subjects. The Journal of Curriculum Studies, 15(2), 129-153.
  22. Kim, K.-K. (2006). The effects of family disruption on academic achievement. Korean Journal of Sociology of Education, 16(2), 27-49.
  23. Kim, S. M., & Yu, N. S. (2019). Analyses of subject competencies of the units related to core concept relation in middle school technology-home economics textbooks based on 2015 revised curriculum. Journal of Home Economics Education Research, 31(2), 1-18. doi:10.19031/jkheea.2019.06.31.2.1
  24. Kim, Y., Namkung, J., Park, K., Choi, I., Kang, H., Kim, M.,...Song, S. (2016). 2016 Korean education longitudinal development study (KELS) 2013(I): Survey summary report. Chung Buk: Korean Educational Development Institute.
  25. Kim, Y. J., & Kim, J. S. (2020). Latent profile analysis on interpersonal competency of adolescents in school-level transition and validation of influential factors in parental attitude. Journal of Learner-Centered Curriculum and Instruction, 20(17), 47-66. doi:10.22251/jlcci.2020.20.17.47
  26. Koo, B. H., & Kim, J. C. (2018). Latent profile analysis on academic achievement, career identity, friendship and teacher-student relationship of adolescents. Korean Journal of Youth Studies, 25(11), 125-149. doi:10.21509/KJYS.2018.11.25.11.125
  27. Kwon, M. S., & Shin, J. H. (2009). The impacts on the creative tendency of the social capital of family background and that of parent-child relations. The Korean Journal of Child Education, 18(2), 49-64.
  28. Lee, J.-D. (2019). A Study on the level of creative thinking ability and influence factors of high school self-directed learning entrance admission students. Journal of Education & Culture, 25(2), 529-548. doi:10.24159/joec.2019.25.2.529
  29. Lee, K., Beak, K., & Lee, S. J. (2017). Key competencies in the 2015 revised curriculum: The relationship with the idea of the educated person, educational goals, and subject competencies. The Journal of Curriculum Studies, 35(2), 67-94.
  30. Lee, K.-W., & Hong, W.-P. (2012). A study on relation the Korean national curriculum framework to core competencies. The Journal of Curriculum and Evaluation, 15(2), 1-23.
  31. Lee, S., Jang, Y., Song, J., & Hong, S. (2021). Classification of academic motivation in adolescence and relation with learning strategy, academic stress, career maturity, happiness by applying latent profile analysis. Korean Journal of Youth Studies, 28(3), 85-112. doi:10.21509/KJYS.2021.03.28.3.85
  32. Lee, S.-Y., & Song, J. (2017). The mediating effects of self-concept on the relationship between parental academic.emotional support and career maturity: The longitudinal changes over 4 years. Studies on Korean Youth, 28(4), 77-112. doi:10.14816/sky.2017.28.4.77
  33. Lee, Y.-K., Park, S.-Y., Min, J., & Shin, Y. (2021a). The relation between the latent profiles of high school students' core competency and the perceptions of competency-based classes. Asian Journal of Education, 22(1), 1-29. doi:10.15753/aje.2021.03.22.1.1
  34. Lee, Y.-K., Shin, Y., Kim, B., & Min, J. (2021b). Stability of core competency latent profiles and their predictors and outcomes among secondary school students in South Korea. The Korean Journal of Educational Psychology, 35(3), 507-532. doi:10.17286/KJEP.2021.35.3.06
  35. Lim, J. A. (2005). A study on the adolescents' family strengths and school adjustment. Unpublished master's thesis, Seoul Women's University, Seoul, Korea.
  36. Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778. https://doi.org/10.1093/biomet/88.3.767
  37. Lubke, G., & Muthen, B. O. (2007). Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling: A Multidisciplinary Journal, 14(1), 26-47. doi:10.1080/10705510709336735
  38. Lucas, B. (2001). Creative teaching, teaching creativity and creative learning. In A. Craft, B. Jeffrey & M. Leibling (Eds.), Creativity in education (pp. 35-44). London, England: Continuum.
  39. Ministry of Education (2015a). Ministry of education press release (The announcement and the confirmation of the general guidelines for the 2015 revised national curriculum, (2015. 9. 23.)). Retrieved from http://www.moe.go.kr
  40. Ministry of Education (2015b). 2015 Revised technology-home economics curriculum. Sejong: Author.
  41. Ministry of Education (2015c). The national guidelines for the primary and secondary schools. Sejong: Author.
  42. Ministry of Education (2021). Ministry of education press release (2022 revised curriculum general guidelines highlight (2021. 11. 24)). Retrieved from http://www.moe.go.kr
  43. Muthen, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313-335. https://doi.org/10.1037/a0026802
  44. Muthen, L. K., & Muthen, B. O. (1998). Mplus: The comprehensive modeling program for applied researchers: User's guide. Los Angeles, CA: Muthen & Muthen.
  45. Namkung, J., Kim, Y., Park, K., Choi, I., Park, H., & Kim, Y. (2016). 2016 KEDI survey research on student competencies. Chung Buk: Korean Educational Development Institute.
  46. Namkung, J., Kim, Y., Park, K., Jung, D., Park, H., & Kim, Y. (2015). KEDI survey research on student competencies: The development and validation of instruments. Chung Buk: Korean Educational Development Institute.
  47. No, U., Jung, S., & Hong, S. (2014). Classifying latent profiles in delinquency of children and adolescents and testing the effects of determinants. Studies on Korean Youth, 25(4), 211-240. doi:10.14816/sky.2014.11.75.211
  48. Nylund-Gibson, K., Grimm, R., Quirk, M., & Furlong, M. (2014). A latent transition mixture model using the three-step specification. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 439-454. doi:10.1080/10705511.2014.915375
  49. OECD. (2006). Measuring the effects of education on health and civic engagement. Paris: OECD Publishing.
  50. Park, H., & Namkung, J. (2016). Factors influencing the key competencies of middle school students in South Korea. Journal of LearnerCentered Curriculum and Instruction, 16(8), 149-172.
  51. Park, M. J. (2009). Analysis of the characteristics of competencebased curriculum and its critical issues. The Journal of Curriculum Studies, 27(4), 71-94. https://doi.org/10.15708/KSCS.27.4.200912.004004
  52. Park, S.-H., Kim, J.-H., & Kim, J.-M. (2014). The effects of perceived parenting attitude on adolescents' empathy ability: The mediating role of parent-adolescent communication. Journal of the Korea Institute of Youth Facility and Environment, 12(4), 225-237.
  53. Pastor, D. A., Barron, K. E., Miller, B. J., & Davis, S. L. (2007). A latent profile analysis of college students' achievement goal orientation. Contemporary Educational Psychology, 32(1), 8-47. https://doi.org/10.1016/j.cedpsych.2006.10.003
  54. Rychen, D. S., & Salganik, L. H. (2000). A contribution of the OECD program definition and selection of competencies: Theoretical and conceptual foundations definition and selection of key competencies. INES General Assembly, 8. Retrieved from https://www.semanticscholar.org/paper/A-Contribution-of-the-OECD-Program-Definition-and-Rychen-Salganik/0e68bea4cdad0c35fad9c3fee9e586e2bba61204
  55. Ryu, D.-S., & Kim, B.-J. (2010). Relationships between parental behavior and children's intrinsic motivation toward physical education. Korean Journal of Sport Psychology, 21(1), 85-98.
  56. Schmiege, S. J., Meek, P., Bryan, A. D., & Petersen, H. (2012). Latent variable mixture modeling: A flexible statistical approach for identifying and classifying heterogeneity. Nursing Research, 61(3), 204-212. doi:10.1097/NNR.0b013e3182539f4c
  57. Shin, T. (2010). Latent class study using longitudinal profile analysis and cluster analysis: Comparing growth mixture modeling. Journal of Educational Evaluation, 23(3), 641-664.
  58. Shon, M. H. (2006). Competence, and everydayness of practical knowledge as its practical foundation. The Journal of Curriculum Studies, 24(4), 1-25.
  59. So, K. H. (2007). 'Competency' in the context of schooling: It's meaning and curricular implications. The Journal of Curriculum Studies, 25(3), 1-21. https://doi.org/10.15708/KSCS.25.3.200709.001001
  60. So, K. H. (2016). A review of main issues surrounding creativity in school education: Implications for curriculum study. The Journal of Curriculum Studies, 34(4), 99-119.
  61. Son, Y., & Kim, N. (2019). The classification of high school students' creative competences using multilevel latent profile analysis: Influential factors and student agency. Secondary Education Research, 67(4), 611-641. https://doi.org/10.25152/SER.2019.67.4.611
  62. Synn, M. H., & Lee, H. W. (2010). The relationship between home environment and self-regulated learning: The case of middle-school students in South Korea. Asian Journal of Education, 11(2), 113-134. https://doi.org/10.15753/AJE.2010.11.2.005
  63. Tein, J. Y., Coxe, S., & Cham, H. (2013). Statistical power to detect the correct number of classes in latent profile analysis. Structural Equation Modeling, 20(4), 640-657. doi:10.1080/10705511.2013.824781
  64. Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. Chichester: John Wiley/Higher Education Press.
  65. Yang, J. S., & Yoo, T. M. (2015). Relations of key competencies and home economics curriculum in the competency-based curriculum. Journal of Home Economics Education Research, 27(3), 1-18.
  66. Yoo, S. J., & Lee, Y. S. (2018). Systematic development of instruction for family life planning of high school curriculum for technology and home economics based on backward design. Family and Environment Research, 56(1), 33-54. doi:10.6115/fer.2018.003
  67. Yoon, C.-H. (2015). The mediating effect of basic psychological needs on the relation of perceived social support and high school students' career identity: A self-determination theory approach. Asian Journal of Education, 16(4), 129-154. https://doi.org/10.15753/aje.2015.12.16.4.129