Cross-Gender Equivalence of Cyber Bullying and Victimization

Authors : Sırrı Akbaba, Adem Peker, Yüksel Eroğlu, Erkan Yaman

Pages : 59-69

Doi:10.17275/per.15.15.2.2

View : 29 | Download : 14

Publication Date : 2015-08-30

Article Type : Research

Abstract :This study aims to investigate the cross-gender equivalency of cyber bullying and victimization across gender using Revised Cyber Bullying Inventory (RCBI). Because gender differences may have a strong effect on measurement inequalities, tests of measurement invariance were conducted to ensure that the scores obtained from cyber bullying and victimization forms of RCBI were generalizable between males and females. The samples for this study consisted of 217 females and 235 males. The measurement invariance of the cyber bullying and victimization forms of RCBI was examined with multiple group confirmatory factor analysis (MG-CFA). For the test of MG-CFA, a set of confirmatory factor analysis procedures were utilized. In order that collate relative fit of nested models across gender, change in CFI (comparative fit index) was utilized here, with a suggestion that support for the more parsimonious model can fit data better than a less parsimonius model requires a change in CFI is smaller or equal to .01. Confirmatory factor analyses were conducted using LISREL. MG-CFA results showed that there were not enough evidence to support the measurement invariance of the cyber bullying and victimization forms of RCBI across gender at a scale level. Results were discussed in the light of the literature. 
Keywords : Cyber bullying and victimization, tests of measurement invariance, multigroup confirmatory factor analysis