Uncovering the structure of and gender and developmental differences in cyber bullying/
By: Griezel, Lucy.
Contributor(s): Finger, Linda R | Bodkin-Andrews, Gawaian H | Craven, Rhonda G | Yeung, Alexander Seeshing.
Description: 11 tables: 3 figs.: refs.: appendix.ISSN: 0022-0671.Other title: The Journal of Educational Research.Subject(s): BULLIESDDC classification: 050/G87 Summary: Although literature on traditional bullying is abundant, a limited body of sound empirical research exists regarding its newest from: cyber bullying. The sample comprised Australian secondary students (N = 803) and aimed to identify the underlying structure of cyber bullying, and differences in traditional and cyber bullying behaviors across gender and grade. Reliability analyses, confirmatory factor analyses, and factorial invariance testing demonstrated that the newly extended measure of traditional and cyber bullying was psychometrically sound. Multiple-Indicators-Multiple-Causes models demonstrated gender, grade, and gender by grade interaction effects for traditional and cyber forms of bullying and being bullied. Finding were interpreted in the context of bullying theory. Moreover, potential limitations of the investigation and implications for theory, research, and practice were discussed.| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Periodicals Journal Bound
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College Library Periodical Section | GC | AI 050/G87 (Browse shelf) | Available |
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Although literature on traditional bullying is abundant, a limited body of sound empirical research exists regarding its newest from: cyber bullying. The sample comprised Australian secondary students (N = 803) and aimed to identify the underlying structure of cyber bullying, and differences in traditional and cyber bullying behaviors across gender and grade. Reliability analyses, confirmatory factor analyses, and factorial invariance testing demonstrated that the newly extended measure of traditional and cyber bullying was psychometrically sound. Multiple-Indicators-Multiple-Causes models demonstrated gender, grade, and gender by grade interaction effects for traditional and cyber forms of bullying and being bullied. Finding were interpreted in the context of bullying theory. Moreover, potential limitations of the investigation and implications for theory, research, and practice were discussed.
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