The effects of anonymity, invisibility, asynchrony, and moral disengagement on cyberbullying perpetration among school-aged children in China
TL;DR: Wang et al. as discussed by the authors investigated the relationship between moral disengagement and cyberbullying perpetration, which has been explored extensively but yields inconclusive conclusions, and the effects of fundamental factors of the online disinhibition effect (online anonymity, invisibility, and asynchrony) on cyber bullying perpetration.
About: This article is published in Children and Youth Services Review.The article was published on 2020-12-01. It has received 22 citations till now. The article focuses on the topics: Moral disengagement & Online disinhibition effect.
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162 citations
TL;DR: In this article , the effect of compulsive Internet use on cyberbullying through fake news creation and/or distribution, both direct and via moral disengagement, and the related differences between adults and teenagers was explored.
16 citations
TL;DR: In this article, the effect of compulsive Internet use on cyberbullying through fake news creation and/or distribution, both direct and via moral disengagement, and the related differences between adults and teenagers was explored.
16 citations
TL;DR: In this article, a meta-analysis review of the relationship between moral disengagement and cyberbullying and some psychosocial and cultural variables was carried out, and the meta analysis concluded that moral disengociation positively correlated medium intensity with cyberbulliness (r=0.341).
Abstract: With the development of technology, cyberbullying prevalence rates are increasing worldwide, and a growing body of literature has begun to document cyberbullying behavior. Moral disengagement is often considered a key correlate factor in cyberbullying (Gini et al., 2014; Kowalski et al., 2014; Zych et al., 2019). This article aims to conduct a meta-analysis review of the relationship between moral disengagement and cyberbullying and some psychosocial and cultural variables. Based on the PRISMA method, a random-effects meta-analysis is employed in this study to obtain reliable estimates of effect sizes and examine a range of moderators (age, gender, measure method, and cultural background). Relevant studies, published from 2005 to February 30, 2021, were identified through a systematic search of the Web of Science, ScienceDirect, SpringerLink, Pubmed, EBSCO, and Wiley Online Library. Finally, 38 studies (N=38425) met the inclusion criteria. The meta-analysis conclusion demonstrated that moral disengagement positively correlated medium intensity with cyberbullying (r=0.341). Age, gender, and cultural background had moderated the relationship between moral disengagement and cyberbullying.
11 citations
TL;DR: In this paper, the authors evaluated which aspects of moral disengagement, empathy, and representations of the victim's experience (VER) could be predictors of cyberbullying (CB).
Abstract: This study aimed to evaluate which aspects of moral disengagement (MD), empathy, and representations of the victim’s experience (VER) could be predictors of cyberbullying (CB) One hundred and eight-nine students (11–17 years old) completed 3 self-report questionnaires: An MD scale, an empathy scale, and a CB questionnaire In relation to the personal experience of CB, four groups were identified: Victim, bully, bully/victim, and no experience with CB The linear bivariate correlation analysis shows correlations between empathy and VER, between empathy and MD, and between MD and VER A multinomial logistic regression identified which predictors could increase a subject’s probability of belonging to one of the four groups regarding the personal experience of CB (victim, bully, bully/victim, no experience) Findings highlighted that low cognitive empathy might increase the probability for a student to belong to the bullies’ group, rather than the victims’ group Furthermore, low perception of the consequences of CB on the victim might increase the probability of belonging to the bully, bully/victim, and no experience groups Then, a high score in the diffusion of responsibility was a significant predictor of belonging to the victim group rather than the no experience group Results from this study confirm the need for preventive measures against CB, including the empowerment of cognitive empathy, decreasing the diffusion of responsibility, and increasing the awareness of the consequences of CB on the victim
9 citations
References
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TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...
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TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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56,555 citations
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27 May 1998TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
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TL;DR: In this article, models of Human Nature and Casualty are used to model human nature and human health, and a set of self-regulatory mechanisms are proposed. But they do not consider the role of cognitive regulators.
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TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Abstract: Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model A drawback of existing indexes is that they estimate no known population parameters A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI) FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics An example illustrates the behavior of these indexes under conditions of correct specification and misspecification The new fit indexes perform very well at all sample sizes
21,588 citations