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http://dx.doi.org/10.7465/jkdi.2016.27.5.1327

Study of child abuse families using logistic regression models  

Min, Dae Kee (Department of Statistics and Information, Duksung Women's University)
Choi, Mi Kyung (Department of Human Development and Family Studies, Duksung Women's University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.5, 2016 , pp. 1327-1336 More about this Journal
Abstract
Most cases of child abuse in South Korea are caused by parents in the family home. Currently, these types of incidents are growing. Child abuse creates irreparable damage to a child's development and its effects are prolonged. This damage can create a maladjusted adolescent and adult criminal acts. Because of this damage and the long lasting effects on a person and society as a whole, special attention needs to be paid to this pressing issue. South Korea's rapidly changing social environment has created a variety of new family forms including dual-income families and single-parent families. With the current economic downturn and accompanying employment instability, many families exist in uneasy financial and emotional states. The children in these stressful family environments are the most vulnerable and live in risk of experiencing physical or psychological abuse from their parents. In the context of significant and often difficult social changes, this study identifies the characteristics of child abuse based on family status and parental mental health.
Keywords
Decision tree; logistic regression; variables selection;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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