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권영란 ( Kweon Young-Ran ) - 조선대학교 간호학과
김세영 ( Kim Se-Young ) - 세한대학교 간호학과
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Abstract
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Purpose: This study was done to identify protective factors which predict internet game addition in middle school students using data mining decision tree analysis.
Methods: The participants were 557 (Male=233, Female=324) middle school students from G city. Data were collected using structured questionnaires from March, 25 to May, 4, 2013, and analyzed using the descriptive analysis, t-test, ANOVA, decision tree, using SPSS 20.0 program.
Results: The result of this research showed the prediction model for protective factors related to internet game addiction. Causative factors included gender, family support and father’s attitude as the family protective factor, and planning ability as the personal protective factor. Level of accuracy of the decision tree was 70.6%.
Conclusion: The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to gender and planning ability in internet game addiction.
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KeyWords
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중학생, 인터넷, 게임중독, 의사결정나무분석
Adolescent, Internet, Addictive behavior, Data mining, Decision trees
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원문 및 링크아웃 정보
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등재저널 정보
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