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

어머니가 지각한 유아의 스마트폰 과의존 예측모형 탐색: 데이터마이닝 의사결정나무 분석 활용

  • Jung, Ji-Sook (Gyeongbuk Women's Policy Development Institute) ;
  • Oh, Jung-A (Chungcheongnam-do Welfare Foundation)
  • Received : 2020.03.13
  • Accepted : 2020.05.20
  • Published : 2020.05.28

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.

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