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Examination of Turkish University Students’ Internet Addiction in Relation to Their Parental Attachment Styles and Sociodemographics

机译:探查土耳其大学生与父母附​​件款式与社会主干相关的互联网成瘾

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The purpose of this study was to examine university students’ Internet addiction in relation to their parental attachment and sociodemographics. The participants consisted of 402 university students aged 17 to 25 years, 249 (61.9%) of whom were female and 153 (38.1%) of whom were male. The participants completed a questionnaire comprising the Parental Bonding Instrument (PBI), the Internet Addiction Test–Short Version (IAT-SV), and a personal information form. The data were analyzed using the Pearson product-moment correlation coefficient, multiple regression analysis, and one-way analysis of variance (ANOVA). The results of the one-way ANOVA suggested that students whose fathers had low educational levels were more likely to have higher Internet addiction scores than those students whose fathers had high educational levels. The results of the Pearson product-moment correlation coefficient suggested that university students’ Internet addiction scores were negatively correlated with their age, grade point average, maternal care, maternal overprotection, paternal care, and paternal overprotection. However, the results of a stepwise regression analysis suggested that the most important predictors of Internet addiction scores were maternal overprotection and paternal overprotection; the results also suggested that age, grade point average, maternal care, paternal care, and father’s educational level did not explain the additional variance in Internet addiction scores above and beyond the maternal overprotection and paternal overprotection scores.
机译:本研究的目的是研究大学生与他们的父母附件和社会学学相关的互联网成瘾。参与者由17至25岁的402名大学生组成,其中249名(61.9%)是女性,153名(38.1%)是男性的。参与者完成了一个调查问卷,包括父母粘合仪(PBI),互联网成瘾测试 - 短版(IAT-SV)和个人信息表格。使用Pearson Product-Morease相关系数,多元回归分析和方差单向分析进行分析数据(ANOVA)。单向ANOVA的结果表明,父亲的教育水平低的学生比那些父亲高等教育水平的学生更有可能具有更高的互联网成瘾分数。 Pearson Product Mondony相关系数的结果表明,大学生的互联网成瘾分数与他们的年龄,年龄点平均,产妇护理,母体过度统计,父系护理和父体过度呈负相关。然而,逐步回归分析的结果表明,互联网成瘾分数最重要的预测因子是孕产妇过度保护和父体过度保护;结果还建议年龄,年级,级别,母亲护理,父亲护理和父亲的教育水平并未解释互联网成瘾评分的额外方差,超出母体过度保护和父体过度的超级分数。

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