There is a paucity of research testing (a) the longitudinal stability in positive cyberbullying attitudes, (b) whether any change in positive cyberbullying attitudes over time predict subsequent cyberbullying perpetration, and (c) the cross-lagged relations between positive attitudes toward cyberbullying attitudes and behavior over time. The current study focused on empirically testing these theoretical gaps and sampled over 3,000 Singaporean youth participants (at Wave 1) who completed measures of cyberbullying behavior and positive attitudes consecutively for 3 years. Correlations and path analyses showed modest stability in positive cyberbullying attitudes and perpetration over time. Also, latent class analysis classified participants into either stable high attitudes, stable low attitudes, increasing attitudes, or decreasing attitudes. Results using this classification showed that changes in positive cyberbullying attitudes across Waves 1 and 2 predicted Wave 3 cyberbullying, such that those who endorsed cyberbullying attitudes were more likely to cyberbully than those who did not advocate such attitudes. Finally, path analysis results showed significant longitudinal cross-lags between positive attitudes toward cyberbullying and behaviors.

中文翻译：

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从态度预测网络欺凌行为

缺乏研究测试（a）积极的网络欺凌态度的纵向稳定性，（b）积极的网络欺凌态度随时间的变化是否预示了随后的网络欺凌行为，以及（c）积极态度与网络欺凌态度之间的交叉滞后关系和行为随着时间的流逝。当前的研究侧重于对这些理论上的差距进行实证检验，并抽样了3,000多名新加坡青年参与者（在Wave 1中），他们连续三年连续完成了网络欺凌行为和积极态度的评估。相关性和路径分析显示，积极的网络欺凌态度和随时间推移的犯罪行为适度稳定。同样，潜在类别分析将参与者分为稳定的高态度，稳定的低态度，增加的态度或减少的态度。使用这种分类的结果表明，在第一波和第二波中积极的网络欺凌态度的变化预示了第三波网络欺凌，因此，赞同网络欺凌态度的人比那些不主张这种态度的人更有可能出现网络欺凌。最后，路径分析结果表明，对网络欺凌的积极态度与行为之间存在重大的纵向交叉。