Traditional bullying as a potential warning sign of cyberbullying
By Robin M. Kowalski, Chad A. Morgan, Susan P. Limber. 2012
302 citations recorded by the source corpus.
Subfields: Education, Plant Science, Social Psychology
View Paper: https://www.semanticscholar.org/paper/339c853566af5f10320dea2ffd741e429b07eb17
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Robin M. Kowalski
- W. Cassidy
- M. Jackson
- Chantal Faucher
- Susan P. Limber
- Gary W. Giumetti
- Amber N. Schroeder
- Micah R. Lattanner
In Plant Science
- Özgür Erdur-Baker
- Shirley S. Ho
- Jaana Juvonen
- Gary W. Giumetti
- Amber N. Schroeder
- Robin M. Kowalski
- Micah R. Lattanner
- Susan P. Limber
In Social Psychology
- Robin M. Kowalski
- W. Cassidy
- M. Jackson
- Chantal Faucher
- Jaana Juvonen
- Susan P. Limber
- Gary W. Giumetti
- Amber N. Schroeder
Citations in the corpus
- Affective and cognitive empathy as mediators of gender differences in cyber and traditional bullying (2012, background): “Kowalski, Morgan, and Limber (2012) have suggested using different prevention and intervention strategies for males and females tuned to the special needs of each gender.”
- The emergence of cyberbullying: A survey of primary school pupils’ perceptions and experiences (2012, background): “Raskauskas and Stoltz (2007) and Kowalski, Morgan, and Limber (2012) confirmed this hypothesis among adolescents.”
- Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model (2016, background): “…Limber (2007) yes (3.612 ) no self-report cyberbullying no children / teenagers (grades 6, 7, 8) 3767 middle school students in grades 6, 7, and 8 Kowalski et al. (2012) yes(1.447) no self-report cyberbullying no teenagers (mean 15.2) 4510 students in from eight schools in different regions of…”
- Gender Differences in the Association Between Cyberbullying Victimization and Perpetration: The Role of Anger Rumination and Traditional Bullying Experiences (2020, result): “Previous studies have reported an association between TB and CB experiences (e.g., Hinduja and Patchin 2008; Kowalski et al. 2012), although research suggests that there are considerable gender differences in the perception, motivation, and reaction related to bullying experiences (Barlett and…”
- A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach (2017, background): “Besides this, some scholars suggested that the varying prevalence rates of cyberbullying across previous studies might be due to the use of different sampling methods and the assessment of participants from different age groups (Bauman, 2013; Kowalski et al., 2012).”
- Cyberbullying among youth: A comprehensive review of current international research and its implications and application to policy and practice (2013, background): “Cyberbullying is one of the online risks youth face, and the one they are most likely to encounter (Livingstone, Haddon, Görzig, & Ólafsson, 2011) and more often from someone they know than from a stranger (Kowalski et al., 2012a).”
- Bullying in schools: the power of bullies and the plight of victims. (2014, background): “Although there are similarities between cyberbullying and other types of bullying in terms of bully-victim overlap and the emotional distress associated with such experiences (e.g., Kowalski et al. 2012), particular contextual features make cyberbullying distinct.”
- Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. (2014, background): “In a mapping of the relationship between traditional bullying and cyberbullying with over 4,500 sixth through 12th graders, Kowalski, Morgan, and Limber (2012) found that higher rates of involvement in traditional bullying as victim and perpetrator were tied to higher rates of involvement in…”
- Cyberbullying among adolescents: Measures in search of a construct. (2014, unknown): “For example, many studies used single items to measure perpetration of cyberbullying, often defining the construct and asking adolescents how often they had cyberbullied others (e.g., Heirman & Walrave, 2012; Kowalski, Morgan, & Limber, 2012; Li, 2007).”
- Psychological, physical, and academic correlates of cyberbullying and traditional bullying. (2013, background): “%) traditional victims were also victims of cyberbullying (see also [38] [39]).”