Abstract
Studies show that face-to-face aggression extends to other types of bullying behaviours through digital technologies. Current research is limited in primary education and contradictory in terms of gender. This study looked at the prevalence of bullying and cyberbullying in Spain at an early age, identifying groups of victims from a gender perspective. It also associated school variables (sense of belonging at school, absenteeism or student confidence in STEM subjects) to the most vulnerable profile. In a second analysis, 4756 Spanish 4th grade Primary Education pupils completed the TIMMS 2015 standardized survey. The results showed four groups of victims, two characterized by multiple victimization (bullying and cyberbullying). There were significant gender differences between the groups. The percentage of girls in the profile of victims of severe harassment was higher. However, overall there was a greater presence of boys across the different groups of victims. The school variables considered were associated differentially according to gender. The student sense of belonging at school was not the same for girls and boys, nor did they have the same attitude towards absenteeism. The results are discussed in relation to other studies together with conclusions regarding the design of educational interventions and future research.
Highlights
Studies show that face-to-face aggression extends to other types of bullying behaviours through digital technologies
This study looked at the prevalence of bullying and cyberbullying in Spain at an early age, identifying groups of victims from a gender perspective
The results showed four groups of victims, two characterized by multiple victimization
Summary
Los estudios demuestran que la agresión cara a cara se extiende a otros tipos de comportamientos de acoso escolar a través de tecnologías digitales. Some studies have not shown significant gender differences between aggressors or victims (Hinduja & Patchin, 2008), others have found that cyberbullying and traditional bullying are related to boys, not to girls (Erdur-Baker, 2009). Studies such as the one by Navarro, Yubero & Larrañaga (2016) highlight the gender bias in the interpretations which have been made of the results. Locate school variables associated to the most vulnerable profile, characterizing this from a gender perspective
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