Center for Innovative Public Health Research, Irvine, CA, USA.
J Adolesc Health. 2012 Jul;51(1):53-8. doi: 10.1016/j.jadohealth.2011.12.031. Epub 2012 Mar 21.
To inform the scientific debate about bullying, including cyberbullying, measurement.
Two split-form surveys were conducted online among 6-17-year-olds (n = 1,200 each) to inform recommendations for cyberbullying measurement.
Measures that use the word "bully" result in prevalence rates similar to each other, irrespective of whether a definition is included, whereas measures not using the word "bully" are similar to each other, irrespective of whether a definition is included. A behavioral list of bullying experiences without either a definition or the word "bully" results in higher prevalence rates and likely measures experiences that are beyond the definition of "bullying." Follow-up questions querying differential power, repetition, and bullying over time were used to examine misclassification. The measure using a definition but not the word "bully" appeared to have the highest rate of false positives and, therefore, the highest rate of misclassification. Across two studies, an average of 25% reported being bullied at least monthly in person compared with an average of 10% bullied online, 7% via telephone (cell or landline), and 8% via text messaging.
Measures of bullying among English-speaking individuals in the United States should include the word "bully" when possible. The definition may be a useful tool for researchers, but results suggest that it does not necessarily yield a more rigorous measure of bullying victimization. Directly measuring aspects of bullying (i.e., differential power, repetition, over time) reduces misclassification. To prevent double counting across domains, we suggest the following distinctions: mode (e.g., online, in-person), type (e.g., verbal, relational), and environment (e.g., school, home). We conceptualize cyberbullying as bullying communicated through the online mode.
为了在科学上就欺凌行为(包括网络欺凌)的测量进行辩论,提供相关信息。
我们在线上对 6-17 岁的儿童(每组各 1200 人)进行了两份拆分形式的调查,以提出网络欺凌行为测量的建议。
使用“欺凌者”一词的测量方法得出的流行率彼此相似,无论是否包含定义,而不使用“欺凌者”一词的测量方法也彼此相似,无论是否包含定义。一个没有定义或“欺凌者”一词的欺凌行为列表会导致更高的流行率,并且可能会测量超出“欺凌”定义的经历。使用询问差异化权力、重复和随时间推移的欺凌行为的后续问题来检查错误分类。使用定义但不使用“欺凌者”一词的测量方法似乎具有最高的假阳性率,因此具有最高的错误分类率。在两项研究中,平均有 25%的人报告称在面对面时每月至少被欺凌一次,而平均有 10%的人在网上被欺凌,7%的人通过电话(手机或固定电话)被欺凌,8%的人通过短信被欺凌。
在美国,讲英语的个人的欺凌行为测量方法应尽可能包含“欺凌者”一词。该定义可能对研究人员有用,但结果表明,它不一定能更严格地衡量欺凌受害情况。直接测量欺凌行为的各个方面(即,差异化权力、重复、随时间推移)可以减少错误分类。为了防止跨领域重复计数,我们建议进行以下区分:模式(例如,在线、面对面)、类型(例如,言语、关系)和环境(例如,学校、家庭)。我们将网络欺凌行为定义为通过在线模式进行的欺凌行为。