Gini Gianluca, Card Noel A, Pozzoli Tiziana
Department of Developmental and Social Psychology, University of Padua, Padova, Italy.
University of Connecticut, Storrs, Connecticut.
Aggress Behav. 2018 Mar;44(2):185-198. doi: 10.1002/ab.21742. Epub 2017 Nov 21.
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.
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。