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父母监督:网络欺凌预防中积极参与的预测变量。

Parental Supervision: Predictive Variables of Positive Involvement in Cyberbullying Prevention.

机构信息

Department of Psychology, University of Cordoba, Avda. San Alberto Magno S/N, 14071 Córdoba, Spain.

出版信息

Int J Environ Res Public Health. 2021 Feb 7;18(4):1562. doi: 10.3390/ijerph18041562.

DOI:10.3390/ijerph18041562
PMID:33562183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7914926/
Abstract

From an increasingly early age, parents face the challenge of educating their sons and daughters to act in the world of offline and online relationships. If for professional educators it is not proving easy, the involvement and guidance of parents in their children's use of the internet seems to be a complex and unexplored challenge. This work aims to analyse the variables that influence digital education and determine a predictive model of positive parental involvement. This study was done with a representative sample consisting of five hundred and ninety-six families (596), representing the parents of children from schools with similar socio-cultural indexes. To do this, and using self-report instruments convertible into independent scales, four predictor variables were analysed: (1) parental knowledge of cyberbullying; (2) perception of parental competence in this regard; (3) parental perception of online risks; and (4) the attribution of parental responsibility in digital education. A structural equations model (SEM) examined the predictive value of these variables with respect to positive parental involvement. The structural equations model confirmed direct and mediated relationships between the independent and mediating variables on the dependent variable: parental supervision. The results indicate that positive parental involvement can be predicted from higher scores in parental knowledge of cyberbullying, perception of parental competence, risk adjustment, and attribution of parental responsibility.

摘要

从越来越早的年龄开始,父母就面临着教育他们的儿子和女儿在离线和在线关系世界中行事的挑战。如果对专业教育者来说并不容易,那么父母参与和指导他们的孩子使用互联网似乎是一个复杂且尚未探索的挑战。这项工作旨在分析影响数字教育的变量,并确定积极的父母参与的预测模型。这项研究使用了一个具有代表性的样本,其中包括五百九十六个家庭(596),代表了来自具有相似社会文化指数的学校的孩子的父母。为此,使用可转换为独立量表的自我报告工具,分析了四个预测变量:(1)父母对网络欺凌的了解;(2)在这方面对父母能力的感知;(3)父母对在线风险的看法;(4)在数字教育中分配父母责任。结构方程模型(SEM)检查了这些变量对因变量(父母监督)的预测价值。结构方程模型证实了独立变量和中介变量与因变量之间的直接和中介关系:父母监督。结果表明,从父母对网络欺凌的了解、父母能力的感知、风险调整以及父母在数字教育中的责任归因等方面的较高分数,可以预测积极的父母参与度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ab/7914926/9f71a4242aa8/ijerph-18-01562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ab/7914926/73e4aeb0e5c1/ijerph-18-01562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ab/7914926/9f71a4242aa8/ijerph-18-01562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ab/7914926/73e4aeb0e5c1/ijerph-18-01562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ab/7914926/9f71a4242aa8/ijerph-18-01562-g002.jpg

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