Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지
DOI QR코드

DOI QR Code

A longitudinal study for child aggression with Korea Welfare Panel Study data

한국복지패널 자료를 이용한 아동기 공격성에 대한 경시적 자료 분석

  • Choi, Nayeon (Department of Statistics, Duksung Women's University) ;
  • Huh, Jib (Department of Statistics, Duksung Women's University)
  • 최나연 (덕성여자대학교 정보통계학과) ;
  • 허집 (덕성여자대학교 정보통계학과)
  • Received : 2014.09.26
  • Accepted : 2014.11.09
  • Published : 2014.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Most of literatures on Korean child aggression are based on using the cross-sectional data sets. Although there is a related study with a longitudinal data set, it is assumed that the data sets measured repeatedly in the longitudinal data are mutually independent. A longitudinal data analysis for Korean child aggression is then necessary. This study is to analyze the effect of child development outcomes including academic achievement, self-esteem, depression anxiety, delinquency, victimization by peers, abuse by parents and internet using time on child aggression with Korea Welfare Panel Study data observed three times between 2006 and 2012. Since Korea Welfare Panel Study data have missing values, the missing at random is assumed. The linear mixed effect model and the restricted maximum likelihood estimation are considered.

한국 학생들의 아동기 혹은 청소년기의 공격성에 대한 연구들은 대부분 횡단자료를 이용한 것들이다. 경시적 자료를 이용한 연구가 있지만, 반복측정된 자료들이 서로 독립이라는 가정 하에 연구되었다. 본 연구에서는 2006년부터 2012년까지 세 차례 반복측정에 의해 얻어진 한국복지패널 자료를 이용하여, 횡단자료 분석 연구의 결과인 아동 혹은 청소년의 공격성에 영향을 미치는 요인들로 알려진 학교 적응, 자아존중감, 우울 및 불안, 비행, 학교 폭력 피해 경험, 부모로부터 학대 경험과 인터넷 사용시간이 경시적 자료 분석에서도 공격성에 영향을 주는 지를 분석하고자 한다. 한국복지패널 자료의 결측치는 임의결측을 가정하고, 제한적 최우추정량을 이용한 선형혼합모형을 적합하고자 한다.

Keywords

References

  1. Diggle, P. J., Heagerty, P., Liang, K. Y. and Zeger, S. L. (2001). Analysis of longitudinal data, 2nd ed., Oxford, New York.
  2. Ha, M. S. and Kim, J. H. (2013). The validation of the Korean Peer Conflict Scale(K-PCS) for use with young adolescents. Studies on Korean Youth, 24, 71-101.
  3. Hong, B. S. and Nam, M. A. (2000). Youth welfare, Yangseowon, Seoul.
  4. Jeon, Y. L., Kim, Y. J. and Song, H. N. (2013). The analysis of influential factors in adolescent's delinquency. Korean Psychological Association Annual Conference, 338.
  5. Ji, E. S. and Jang, M. H. (2010). Aggression and related factors in elementary school students. Journal of Korean Academy of Nursing, 40, 642-649. https://doi.org/10.4040/jkan.2010.40.5.642
  6. Jo, J. and Chang, U. J. (2013). A statistical analysis of the fat mass repeated measures data using mixed model. Journal of the Korean Data & Information Science Society, 24, 303-310. https://doi.org/10.7465/jkdi.2013.24.2.303
  7. Kim, B. S., Kim, D., Ha, M. and Kwon, H. (2014). Derivation of benchmark dose lower limit of lead for ADHD based on a longitudinal cohort data set. Journal of the Korean Data & Information Science Society, 25, 987-998. https://doi.org/10.7465/jkdi.2014.25.5.987
  8. Kim, H. H. (2002). The Relation between bullying-victimization and adolescents' self-esteem: The implication of peer support. Family and Environment Research, 40, 47-61.
  9. Kim, J. C. and Choi, J. Y. (2011). The influence of child abuse by parents on child aggression: The mediating effect of self-esteem and victimization. The Korean Journal of Child Education, 20, 19-32.
  10. Kim, M. J. and Doh, H. S. (2001). The influence of parenting behaviors, marital conflict, and sibling relations on aggression in children. Korean Journal of Child Studies, 22, 149-166.
  11. Kim, S. J. and Chung, I. J. (2013). A longitudinal study of persistent and recency effects of child maltreatment on depression.anxiety and aggression. Journal of Korean Society of Child Welfare, 43, 1-28.
  12. Laird, N. (1988). Missing data in longitudinal studies. Statistics in Medicine, 7, 305-315. https://doi.org/10.1002/sim.4780070131
  13. Lee, E. S. (2007). Construction of a structural model about male and female adolescents' alienation, depression, and suicidal thoughts. Journal of Korean Academy of Nursing, 37, 576-585. https://doi.org/10.4040/jkan.2007.37.4.576
  14. Lee, K. N. (2006). Relationships between children's aggression and the variables as individual, family, and school adjustment. Korean Journal of Human Ecology, 15, 31-44.
  15. Lim, S. and Baek, J. (2012). A credit classification method based on generalized additive models using factor scores of mixtures of common factor analyzers. Journal of the Korean Data & Information Science Society, 23, 235-245. https://doi.org/10.7465/jkdi.2012.23.2.235
  16. Lindstrom, M. J. and Bates, D. M. (1988). Newton-Raphson and EM algorithms for linear mixed-effects models for repeated-measures data. Journal of the American Statistical Association, 83, 1014-1022.
  17. McCulloch, C. E., Searle, S. and Nuehaus, J. M. (2008). Generalized linear and mixed models, 2nd ed., John Wiley & Sons, New Jersey.
  18. Min, D. K. (2014). The influence of parents' child abuse, school violence and friends attachment on mental health in childhood. Journal of the Korean Data & Information Science Society, 25, 293-304. https://doi.org/10.7465/jkdi.2014.25.2.293
  19. Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-590. https://doi.org/10.1093/biomet/63.3.581
  20. Shim, J., Kim, Y. and Hwang, C. (2013). Generalized kernel estimating equation for panel estimation of small area unemployment rates. Journal of the Korean Data & Information Science Society, 24, 1199-1210. https://doi.org/10.7465/jkdi.2013.24.6.1199
  21. Verbeke, G. and Molenberghs, G. (2009). Linear mixed models for longitudinal data, Springer Verlag, New York.
  22. Yoon, Y. H. and Choi, B. (2012). Model selection method for categorical data with non-response. Journal of the Korean Data & Information Science Society, 23, 627-641. https://doi.org/10.7465/jkdi.2012.23.4.627

Cited by

  1. Modeling of random effects covariance matrix in marginalized random effects models vol.27, pp.3, 2016, https://doi.org/10.7465/jkdi.2016.27.3.815
  2. The Development of Aggression During Adolescence: A Comparison of Trajectories between Poverty and Non-poverty Groups vol.36, pp.1, 2014, https://doi.org/10.15709/hswr.2016.36.1.89
  3. 반복 측정 자료를 이용한 장애인 우울에 대한 분석 vol.28, pp.5, 2014, https://doi.org/10.7465/jkdi.2017.28.5.1055