| Baas et al. 54 |
Explore impact of cyberbullying, aggressors’ motivations, and struggle against cyberbullying |
Group interviews |
Netherlands |
11-12 |
N = 28 (13 females, 15 males) |
| Berne et al. 27 |
Identify characteristics of victims or aggressors in cyberbullying targeted to appearance |
Group interviews |
Sweden |
15 |
N = 27 (13 females, 14 males) |
| Betts & Spenser 51 |
Analyze uses of technologies and the concept of cyberbullying |
Group interviews |
United Kingdom |
11-15 |
N = 29 (11 females, 18 males) |
| Bowler et al. 52 |
Construct a user-generated conceptual framework for understanding cyberbullying |
Group interviews |
United States |
14-20 |
N = 9 (6 females, 3 males) |
| Brandau & Evanson 26 |
Explore social and psychological aspects of cyberbullying from the victims’ perspective |
Individual interviews |
United States |
14-21 |
N = 15 (12 females, 3 males) |
| Bryce & Fraser 40 |
Analyze perceptions and experiences of cyberbullying |
Group interviews |
United Kingdom |
9-19 |
N = 108 |
| Bryce & Fraser 41 |
Analyze the understanding of risks associated with exposure of personal information and contact with strangers |
Group interviews |
United Kingdom |
9-19 |
N = 108 |
| Connolly 43 |
Analyze reasons for adolescents not to report cases of cyberbullying |
Group interviews |
Ireland |
13-17 |
N = 59 |
| DeSmet et al. 42 |
Analyze bystanders’ behaviors and their determinants for acting |
Group interviews |
Belgium |
12-16 |
N = 61 (32 females, 29 males) |
| DeSmet et al. 68 |
Analyze bystanders’ determinants for defending victims |
Group interviews |
Belgium |
12-15 |
N = 33 (11 females, 12 males) |
| Dredge et al. 48 |
Identify factors that intervene in impact of cyberbullying on victims |
Individual interviews |
Australia |
15-24 |
N = 25 (17 females, 8 males) |
| Ging & O’Higgins 56 |
Analyze how adolescents understand and experience friendship, conflict, and cyberbullying in Facebook |
Individual interviews |
Ireland |
14-17 |
N = 26 (females) |
| Keipi & Oksanen 53 |
Analyze how adolescents understand and react to risks on internet |
Written narratives |
Finland |
14-18 |
N = 258 (143 females, 115 males) |
| Law et al. 50 |
Analyze motivations for online aggression, especially analyzing proactive and reactive aggressions |
In-depth interviews |
Canada |
10-18 |
N = 15 (10 females, 5 males) |
| Maher 66 |
Describe cyberbullying practices in schools |
Ethnography |
Australia |
11-12 |
N = 22 |
| Nilan et al. 49 |
Identify sociological behavior patterns in cyberbullying |
Individual interviews |
Australia |
15-18 |
N = 10 (5 females, 5 males) |
| O’Brien & Moules 63 |
Describe victims’ perceptions of cyberbullying’s impact on their lives |
Group interviews |
United Kingdom |
10-18 |
N = 17 (14 females, 3 males) |
| Pabian et al. 61 |
Identify differences and similarities between offline and online negative interactions |
Individual interviews |
Belgium |
13-14 |
N = 34 |
| Parris et al. 59 |
Describe how adolescents prevent cyberbullying |
Individual interviews |
United States |
15-19 |
N = 40 |
| Parris et al. 60 |
Identify strategies to overcome cases of cyberbullying |
Individual interviews |
United States |
15-19 |
N = 20 (7 females, 13 males) |
| Patterson et al. 44 |
Understand bystanders’ perceptions and responses |
Individual interviews |
Australia |
13-16 |
N = 24 (13 females, 11 males) |
| Pelfrey & Weber 62 |
Understand strategies for prevention and response to cases of cyberbullying |
Group interviews |
United States |
11-14 |
N = 24 (16 females, 8 males) |
| Price et al. 28 |
Analyze adolescents’ perceptions of bystanders |
Surveys with open questions |
United States |
M = 15 |
N = 961 (443 females, 481 males) |
| Radovic et al. 55 |
Identify uses of social networks by adolescents with depression |
Individual interviews |
United States |
13-20 |
N = 23 (18 females, 5 males) |
| Reason et al. 29 |
Analyze victims’ experiences and ways of coping with cyberbullying |
Group and individual interviews |
United States |
18 |
N = 8 (4 females, 4 males) |
| Samoh et al. 58 |
Analyze perceptions of definition, causes, consequences, and approaches to cyberbullying |
Group and individual interviews |
Thailand |
15-24 |
N = 136 |
| Ševčíková et al. 64 |
Describe how victims of cyberbullying perceive the aggression and in which contexts it is considered more serious |
Individual interviews |
Czech Republic |
15-17 |
N = 16 (7 females, 9 males) |
| Šléglová & Černá 57 |
Describe how victims of cyberbullying perceive the aggression and strategies used to overcome it |
Individual interviews |
Czech Republic |
14-18 |
N = 15 (13 females, 2 males) |
| Stacey 45 |
Analyze uses of technologies by adolescents and their experiences with cyberbullying |
Group interviews |
Australia |
10-17 |
N = 74 |
| Vandebosch & van Cleemput 67 |
Describe experiences and perspectives with cyberbullying |
Group interviews |
Belgium |
10-19 |
N = 279 (137 females, 142 males) |
| Varjas et al. 46 |
Describe experiences and perspectives of cyberbullying in adolescents from the LGBTQ community |
Individual interviews |
United States |
15-18 |
N = 18 (5 females, 13 males) |
| Varjas et al. 47 |
Describe perspectives of adolescents on motivations for cyberbullying |
Individual interviews |
United States |
15-19 |
N = 20 (7 females, 13 males) |
| Wright 65 |
Analyze characteristics of cyberbullying victims, their emotional responses, and coping strategies |
Individual interviews |
United States |
12-14 |
N = 76 (39 females, 37 males) |