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Journal ArticleDOI

Longitudinal and Reciprocal Relations of Cyberbullying With Depression, Substance Use, and Problematic Internet Use Among Adolescents

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TLDR
CB is predictive of some significant psychological and behavioral health problems among adolescents and intervention efforts should pay attention to these in the prevention and treatment of consequences of CB.
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This article is published in Journal of Adolescent Health.The article was published on 2013-10-01. It has received 413 citations till now.

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Annual Research Review: Harms experienced by child users of online and mobile technologies: the nature, prevalence and management of sexual and aggressive risks in the digital age

TL;DR: In this paper, the authors examine the nature and prevalence of such risks, and evaluate the evidence regarding the factors that increase or protect against harm resulting from these risks, so as to inform the academic and practitioner knowledge base.
Journal ArticleDOI

A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach

TL;DR: It was revealed that risky information and communications technology (ICT) use, moral disengagement, depression, social norms, and traditional bullying perpetration were the main predictors of cyberbullying perpetration, while risky ICT use andTraditional bullying victimization were the major contributors of cyberBullying victimization.
Journal ArticleDOI

Are cyberbullying intervention and prevention programs effective? A systematic and meta-analytical review

TL;DR: A systematic and meta-analytical review of the effectiveness of cyberbullying intervention and prevention programs is presented in this paper, which suggests that anti-cyberbullying programs can reduce cyber bullying perpetration by approximately 10% to 15% and cyber bullying victimization by approximately 14%.
Book ChapterDOI

Cyberbullying: Bullying in the Digital Age

TL;DR: Cyber bullying: Bullying in the Digital Age as discussed by the authors provides an empirically-based resource with up-to-date information about the nature and prevalence of cyber bullying through the use of email, instant messages, chat rooms, and other digital messaging systems.
References
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Book

Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming

TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Book

Structural equation modeling with AMOS: basic concepts, applications, and programming

TL;DR: In this article, the EQS program is used to test the factorial verifiability of a theoretical construct and its invariance to a Causal Structure using the First-Order CFA model.
Journal ArticleDOI

A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis

TL;DR: In this paper, Satorra and Bentler's scaling corrections are used to improve the chi-square approximation of goodness-of-fit test statistics in small samples, large models, and nonnormal data.
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