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.
Cyber bullying and victimization tests of measurement invariance multigroup confirmatory factor analysis
Primary Language | English |
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Subjects | Studies on Education |
Journal Section | Research Articles |
Authors | |
Publication Date | August 30, 2015 |
Acceptance Date | June 2, 2015 |
Published in Issue | Year 2015 Volume: 2 Issue: 2 |