Palladino Benedetta Emanuela, Nocentini Annalaura, Menesini Ersilia
Department of Educational Sciences and Psychology, University of Florence , Florence, Italy .
Cyberpsychol Behav Soc Netw. 2015 Feb;18(2):112-9. doi: 10.1089/cyber.2014.0366. Epub 2015 Jan 19.
The present study tried to answer the research need for empirically validated and theoretically based instruments to assess cyberbullying and cybervictimization. The psychometric properties of the Florence CyberBullying-CyberVictimization Scales (FCBVSs) were analyzed in a sample of 1,142 adolescents (Mage=15.18 years; SD=1.12 years; 54.5% male). For both cybervictimization and cyberbullying, results support a gender invariant model involving 14 items and four factors covering four types of behaviors (written-verbal, visual, impersonation, and exclusion). The second-order confirmatory factor analysis confirmed that a "global," second-order measure of cyberbullying and cybervictimization fits the data well. Overall, the scales showed good validity (construct, concurrent, and convergent) and reliability (internal consistency and test-retest). In addition, using the global key question measure as a criterion, ROC analyses, determining the ability of a test to discriminate between groups, allowed us to identify cutoff points to classify respondents as involved/not involved starting from the continuum measure derived from the scales.
本研究试图满足对经过实证验证且基于理论的工具的研究需求,以评估网络欺凌和网络受害情况。在1142名青少年样本(平均年龄=15.18岁;标准差=1.12岁;男性占54.5%)中分析了佛罗伦萨网络欺凌-网络受害量表(FCBVSs)的心理测量特性。对于网络受害和网络欺凌,结果支持一个包含14个项目和四个因素的性别不变模型,这四个因素涵盖四种行为类型(书面言语、视觉、冒名顶替和排斥)。二阶验证性因素分析证实,网络欺凌和网络受害的“总体”二阶测量与数据拟合良好。总体而言,这些量表显示出良好的效度(结构效度、同时效度和收敛效度)和信度(内部一致性和重测信度)。此外,以总体关键问题测量为标准,通过ROC分析(确定一项测试区分不同组的能力),我们能够从量表得出的连续测量中确定将受访者分类为受影响/未受影响的临界值。