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http://dx.doi.org/10.15207/JKCS.2020.11.5.097

Mother's Perceived Infant Smartphone Over-immersion Prediction Model: Data Mining Decision Tree Analysis  

Jung, Ji-Sook (Gyeongbuk Women's Policy Development Institute)
Oh, Jung-A (Chungcheongnam-do Welfare Foundation)
Publication Information
Journal of the Korea Convergence Society / v.11, no.5, 2020 , pp. 97-105 More about this Journal
Abstract
This study was to identify the main predictors of smartphone overdependece of infants perceived by mothers and to provide basic data useful for education and practice. For this, data-mining decision tree analysis was performed using SPSS program, and the fianl 410 researches were used for analysis. The results. In the case of the whole infants, the most important predictor of smartphone dependence was father's leisure activity parenting participation. For boys, their father's leisure activity was the most dependent on their smartphone dependence. However, even if father's participation in leisure activities was high, smartphone overdependence increased again when mother's overprotection and permissive attitude were high. Finally, For girls, the most influential variable on smartphone dependence was warmth and encouragement among mothers' parenting attitudes.
Keywords
Infant; Smartphone; Overdependence; Data-Mining decision tree analysis; Father behavior; Mother behavior;
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