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传统受害经历与网络受害经历与内化问题的差异关系的元分析。

A meta-analysis of the differential relations of traditional and cyber-victimization with internalizing problems.

作者信息

Gini Gianluca, Card Noel A, Pozzoli Tiziana

机构信息

Department of Developmental and Social Psychology, University of Padua, Padova, Italy.

University of Connecticut, Storrs, Connecticut.

出版信息

Aggress Behav. 2018 Mar;44(2):185-198. doi: 10.1002/ab.21742. Epub 2017 Nov 21.

Abstract

This meta-analysis examined the associations between cyber-victimization and internalizing problems controlling for the occurrence of traditional victimization. Twenty independent samples with a total of 90,877 participants were included. Results confirmed the significant intercorrelation between traditional and cyber-victimization (r = .43). They both have medium-to-large bivariate correlations with internalizing problems. Traditional victimization (sr = .22) and cyber-victimization (sr = .12) were also uniquely related to internalizing problems. The difference in the relations between each type of victimization and internalizing problems was small (differential d = .06) and not statistically significant (p = .053). Moderation of these effect sizes by sample characteristics (e.g., age and proportion of girls) and study features (e.g., whether a definition of bullying was provided to participants and the time frame used as reference) was investigated. Results are discussed within the extant literature on cyber-aggression and cyber-victimization and future directions are proposed.

摘要

这项荟萃分析研究了网络受害与内化问题之间的关联,并控制了传统受害情况的发生。纳入了20个独立样本,共计90,877名参与者。结果证实了传统受害与网络受害之间存在显著的相互关联(r = 0.43)。它们与内化问题均具有中等到较大的双变量相关性。传统受害(sr = 0.22)和网络受害(sr = 0.12)也分别与内化问题存在独特关联。每种受害类型与内化问题之间关系的差异较小(差异d = 0.06),且无统计学显著性(p = 0.053)。研究了样本特征(如年龄和女孩比例)和研究特征(如是否向参与者提供了欺凌的定义以及用作参考的时间框架)对这些效应量的调节作用。在关于网络攻击和网络受害的现有文献中对结果进行了讨论,并提出了未来的研究方向。

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