A Step Toward Understanding Cross‐National and Cross‐Cultural Variances in Cyberbullying

Bayraktar, Fatih

doi:10.1002/9781118771952.ch9

Cited by 4 publications

(2 citation statements)

References 74 publications

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“…Cyber victimization is defined as experiencing aggressive behaviors via information and communication technologies, such as the internet, gaming consoles, and mobile phones [1][2][3][4][5][6][7][8][9][10]. Research has focused on gender as a predictor of cyber victimization, but such a focus ignores the potential influence of contextual and cultural factors [11][12][13][14][15][16]. A more fruitful direction is to examine not only gender but also the impact of gender stereotype traits, defined as behaviors and attitudes that are acceptable, appropriate, or desirable for people based on biological sex, such as masculinity and femininity, on cyber victimization.…”

Section: Introductionmentioning

confidence: 99%

Adolescents’ Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits

Wright

Wachs

2020

IJERPH

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The purpose of the present study was to investigate the role of gender and gender stereotype traits (masculinity, femininity) in cyber victimization behaviors (cyber relational victimization, cyber verbal victimization, hacking) through different technologies (mobile phones, gaming consoles, social networking sites). There were 456 8th graders (226 females; M age = 13.66, SD = 0.41) from two midwestern middle schools in the United States included in this study. They completed questionnaires on their endorsement of masculine and feminine traits, and self-reported cyber victimization through different technologies. The findings revealed main effects of types of cyber victimization for boys and of technology for girls. In particular, boys with feminine traits experienced the most victimization by cyber verbal aggression, cyber relational aggression, and hacking when compared to the other groups of boys. Girls with feminine traits experienced the most cyber victimization through social networking sites, gaming consoles, and mobile phones in comparison to the other groups of girls. For girls with feminine traits, they reported more cyber relational victimization and cyber verbal victimization through mobile phones and social networking sites, as well as more hacking via social networking sites. Such findings underscore the importance of considering gender stereotype traits, types of victimization, and technologies when examining cyber victimization.

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Section: Introductionmentioning

confidence: 99%

Adolescents’ Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits

Wright

Wachs

2020

IJERPH

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“…Lu and Gilmour found that the Cronbach alpha of independent and interdependent self-construals was 0.86 and 0.89, respectively. Bayraktar [39] translated and adapted this scale into the Turkish language. According to their findings, confirmatory factor analysis showed that the two-factor model had an adequate fit to the data, which means that independent and interdependent self-subscales could be used in Turkish-speaking populations (the Cronbach alpha for the independent subscale was 0.89 and the interdependent subscale was 0.87).…”

Section: Self-construalsmentioning

confidence: 99%

How Decisiveness, Self-Efficacy, Curiosity and Independent and Interdependent Self-Construals Are Related to Future Hopefulness among Senior Students

Öztekin

Bayraktar

2019

Behavioral Sciences

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Hope is a future-oriented reasoning that influences psychological assets of individuals. A hopeful standing towards the future can positively influence individual well-being. Different standings in terms of hopefulness may create variations in psychological assets of people. In the current study, we examined the associations of decisiveness, self-efficacy, curiosity and self-construals with hopefulness. A total of 278 senior university students were recruited for the study from Eastern Mediterranean University in Famagusta, North Cyprus. Participants filled six questionnaires; the Beck Hopelessness Scale, the Independent and Interdependent Self-Construal Scale, Multi-Domain Decisiveness Scale, Curiosity and Exploration Inventory II, the Dispositional Hope Scale and the General Self-Efficacy Scale. The data was analyzed by hierarchical multiple regression analysis on SPSS 23 software program. The results indicated that self-efficacy and decisiveness significantly predicted hopefulness, while curiosity did not predict hopefulness and only independent self-construal had the predictive effect on hopefulness. Based on these findings, the emerging adulthood nature of the study sample was discussed, and further recommendations were presented.

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Social media use and depression, anxiety, and stress in Latinos: A correlational study

Franco

Carrier

2020

Human Behav and Emerg Tech

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A Step Toward Understanding Cross‐National and Cross‐Cultural Variances in Cyberbullying

Cited by 4 publications

References 74 publications

Adolescents’ Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits

Adolescents’ Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits

How Decisiveness, Self-Efficacy, Curiosity and Independent and Interdependent Self-Construals Are Related to Future Hopefulness among Senior Students

Social media use and depression, anxiety, and stress in Latinos: A correlational study

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