• Journal of the Korean Home Economics Association
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• v.46 no.10
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• pp.147-157
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• 2008

The purpose of this study was to ascertain if psychological home environment and parental verbal control type had gender-specific affects on a child's self-resilience. Questionnaires were used to collect information on 356 children who attend elementary school. The major findings were as follows : (1) Positive correlations were established among psychological home environment and parental verbal control type;(2)Fathers' verbal control type was significantly positively related to a child's gender;(3) Father's verbal control type affected self-resilience of boys, while mother's verbal control type affected self-resilience of girls.

• Survey Research
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• v.18 no.2
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• pp.67-98
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• 2017

The purposes of this study are to identify the latent classes of school violence depending on bullying and victimized experience by type and the influences of individual-level and school-level variables on determining these latent profiles. For these research goals, the present study utilized data from the Seoul Education Longitudinal Study(SELS) 5th wave, containing data from 2,195 middle school students who experienced school violences more than once. Multilevel latent profile models were applied to examine school violence among students. Our results indicated that there were four latent classes; high-level bullying and victimized group (1.7%), mainly bullying group(2.1%), mainly victimized group(3.7%), verbal bullying and victimized group(92.5%). Gender, resilience, self-control, peer relationship, parental relationship were significant determinants of the latent profiles at student level. Teacher-student relationships, school violence prevention, gender ratio of school were significant determinants of the latent profiles at school level. The present study contributed to extending theoretical discussions by classifying students into groups based on frequency and different forms of bullying and victimization. Moreover, this study examined determinants of student and school level simultaneously by dealing with multilevel data.