sample research paper about bullying in school

• Research article
• Open access
• Published: 14 December 2021

Bullying at school and mental health problems among adolescents: a repeated cross-sectional study

• Håkan Källmén 1 &
• Mats Hallgren   ORCID: orcid.org/0000-0002-0599-2403 2  

Child and Adolescent Psychiatry and Mental Health volume  15 , Article number:  74 ( 2021 ) Cite this article

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To examine recent trends in bullying and mental health problems among adolescents and the association between them.

A questionnaire measuring mental health problems, bullying at school, socio-economic status, and the school environment was distributed to all secondary school students aged 15 (school-year 9) and 18 (school-year 11) in Stockholm during 2014, 2018, and 2020 (n = 32,722). Associations between bullying and mental health problems were assessed using logistic regression analyses adjusting for relevant demographic, socio-economic, and school-related factors.

The prevalence of bullying remained stable and was highest among girls in year 9; range = 4.9% to 16.9%. Mental health problems increased; range = + 1.2% (year 9 boys) to + 4.6% (year 11 girls) and were consistently higher among girls (17.2% in year 11, 2020). In adjusted models, having been bullied was detrimentally associated with mental health (OR = 2.57 [2.24–2.96]). Reports of mental health problems were four times higher among boys who had been bullied compared to those not bullied. The corresponding figure for girls was 2.4 times higher.

Conclusions

Exposure to bullying at school was associated with higher odds of mental health problems. Boys appear to be more vulnerable to the deleterious effects of bullying than girls.

Introduction

Bullying involves repeated hurtful actions between peers where an imbalance of power exists [ 1 ]. Arseneault et al. [ 2 ] conducted a review of the mental health consequences of bullying for children and adolescents and found that bullying is associated with severe symptoms of mental health problems, including self-harm and suicidality. Bullying was shown to have detrimental effects that persist into late adolescence and contribute independently to mental health problems. Updated reviews have presented evidence indicating that bullying is causative of mental illness in many adolescents [ 3 , 4 ].

There are indications that mental health problems are increasing among adolescents in some Nordic countries. Hagquist et al. [ 5 ] examined trends in mental health among Scandinavian adolescents (n = 116, 531) aged 11–15 years between 1993 and 2014. Mental health problems were operationalized as difficulty concentrating, sleep disorders, headache, stomach pain, feeling tense, sad and/or dizzy. The study revealed increasing rates of adolescent mental health problems in all four counties (Finland, Sweden, Norway, and Denmark), with Sweden experiencing the sharpest increase among older adolescents, particularly girls. Worsening adolescent mental health has also been reported in the United Kingdom. A study of 28,100 school-aged adolescents in England found that two out of five young people scored above thresholds for emotional problems, conduct problems or hyperactivity [ 6 ]. Female gender, deprivation, high needs status (educational/social), ethnic background, and older age were all associated with higher odds of experiencing mental health difficulties.

Bullying is shown to increase the risk of poor mental health and may partly explain these detrimental changes. Le et al. [ 7 ] reported an inverse association between bullying and mental health among 11–16-year-olds in Vietnam. They also found that poor mental health can make some children and adolescents more vulnerable to bullying at school. Bayer et al. [ 8 ] examined links between bullying at school and mental health among 8–9-year-old children in Australia. Those who experienced bullying more than once a week had poorer mental health than children who experienced bullying less frequently. Friendships moderated this association, such that children with more friends experienced fewer mental health problems (protective effect). Hysing et al. [ 9 ] investigated the association between experiences of bullying (as a victim or perpetrator) and mental health, sleep disorders, and school performance among 16–19 year olds from Norway (n = 10,200). Participants were categorized as victims, bullies, or bully-victims (that is, victims who also bullied others). All three categories were associated with worse mental health, school performance, and sleeping difficulties. Those who had been bullied also reported more emotional problems, while those who bullied others reported more conduct disorders [ 9 ].

As most adolescents spend a considerable amount of time at school, the school environment has been a major focus of mental health research [ 10 , 11 ]. In a recent review, Saminathen et al. [ 12 ] concluded that school is a potential protective factor against mental health problems, as it provides a socially supportive context and prepares students for higher education and employment. However, it may also be the primary setting for protracted bullying and stress [ 13 ]. Another factor associated with adolescent mental health is parental socio-economic status (SES) [ 14 ]. A systematic review indicated that lower parental SES is associated with poorer adolescent mental health [ 15 ]. However, no previous studies have examined whether SES modifies or attenuates the association between bullying and mental health. Similarly, it remains unclear whether school related factors, such as school grades and the school environment, influence the relationship between bullying and mental health. This information could help to identify those adolescents most at risk of harm from bullying.

To address these issues, we investigated the prevalence of bullying at school and mental health problems among Swedish adolescents aged 15–18 years between 2014 and 2020 using a population-based school survey. We also examined associations between bullying at school and mental health problems adjusting for relevant demographic, socioeconomic, and school-related factors. We hypothesized that: (1) bullying and adolescent mental health problems have increased over time; (2) There is an association between bullying victimization and mental health, so that mental health problems are more prevalent among those who have been victims of bullying; and (3) that school-related factors would attenuate the association between bullying and mental health.

Participants

The Stockholm school survey is completed every other year by students in lower secondary school (year 9—compulsory) and upper secondary school (year 11). The survey is mandatory for public schools, but voluntary for private schools. The purpose of the survey is to help inform decision making by local authorities that will ultimately improve students’ wellbeing. The questions relate to life circumstances, including SES, schoolwork, bullying, drug use, health, and crime. Non-completers are those who were absent from school when the survey was completed (< 5%). Response rates vary from year to year but are typically around 75%. For the current study data were available for 2014, 2018 and 2020. In 2014; 5235 boys and 5761 girls responded, in 2018; 5017 boys and 5211 girls responded, and in 2020; 5633 boys and 5865 girls responded (total n = 32,722). Data for the exposure variable, bullied at school, were missing for 4159 students, leaving 28,563 participants in the crude model. The fully adjusted model (described below) included 15,985 participants. The mean age in grade 9 was 15.3 years (SD = 0.51) and in grade 11, 17.3 years (SD = 0.61). As the data are completely anonymous, the study was exempt from ethical approval according to an earlier decision from the Ethical Review Board in Stockholm (2010-241 31-5). Details of the survey are available via a website [ 16 ], and are described in a previous paper [ 17 ].

Students completed the questionnaire during a school lesson, placed it in a sealed envelope and handed it to their teacher. Student were permitted the entire lesson (about 40 min) to complete the questionnaire and were informed that participation was voluntary (and that they were free to cancel their participation at any time without consequences). Students were also informed that the Origo Group was responsible for collection of the data on behalf of the City of Stockholm.

Study outcome

Mental health problems were assessed by using a modified version of the Psychosomatic Problem Scale [ 18 ] shown to be appropriate for children and adolescents and invariant across gender and years. The scale was later modified [ 19 ]. In the modified version, items about difficulty concentrating and feeling giddy were deleted and an item about ‘life being great to live’ was added. Seven different symptoms or problems, such as headaches, depression, feeling fear, stomach problems, difficulty sleeping, believing it’s great to live (coded negatively as seldom or rarely) and poor appetite were used. Students who responded (on a 5-point scale) that any of these problems typically occurs ‘at least once a week’ were considered as having indicators of a mental health problem. Cronbach alpha was 0.69 across the whole sample. Adding these problem areas, a total index was created from 0 to 7 mental health symptoms. Those who scored between 0 and 4 points on the total symptoms index were considered to have a low indication of mental health problems (coded as 0); those who scored between 5 and 7 symptoms were considered as likely having mental health problems (coded as 1).

Primary exposure

Experiences of bullying were measured by the following two questions: Have you felt bullied or harassed during the past school year? Have you been involved in bullying or harassing other students during this school year? Alternatives for the first question were: yes or no with several options describing how the bullying had taken place (if yes). Alternatives indicating emotional bullying were feelings of being mocked, ridiculed, socially excluded, or teased. Alternatives indicating physical bullying were being beaten, kicked, forced to do something against their will, robbed, or locked away somewhere. The response alternatives for the second question gave an estimation of how often the respondent had participated in bullying others (from once to several times a week). Combining the answers to these two questions, five different categories of bullying were identified: (1) never been bullied and never bully others; (2) victims of emotional (verbal) bullying who have never bullied others; (3) victims of physical bullying who have never bullied others; (4) victims of bullying who have also bullied others; and (5) perpetrators of bullying, but not victims. As the number of positive cases in the last three categories was low (range = 3–15 cases) bully categories 2–4 were combined into one primary exposure variable: ‘bullied at school’.

Assessment year was operationalized as the year when data was collected: 2014, 2018, and 2020. Age was operationalized as school grade 9 (15–16 years) or 11 (17–18 years). Gender was self-reported (boy or girl). The school situation To assess experiences of the school situation, students responded to 18 statements about well-being in school, participation in important school matters, perceptions of their teachers, and teaching quality. Responses were given on a four-point Likert scale ranging from ‘do not agree at all’ to ‘fully agree’. To reduce the 18-items down to their essential factors, we performed a principal axis factor analysis. Results showed that the 18 statements formed five factors which, according to the Kaiser criterion (eigen values > 1) explained 56% of the covariance in the student’s experience of the school situation. The five factors identified were: (1) Participation in school; (2) Interesting and meaningful work; (3) Feeling well at school; (4) Structured school lessons; and (5) Praise for achievements. For each factor, an index was created that was dichotomised (poor versus good circumstance) using the median-split and dummy coded with ‘good circumstance’ as reference. A description of the items included in each factor is available as Additional file 1 . Socio-economic status (SES) was assessed with three questions about the education level of the student’s mother and father (dichotomized as university degree versus not), and the amount of spending money the student typically received for entertainment each month (> SEK 1000 [approximately $120] versus less). Higher parental education and more spending money were used as reference categories. School grades in Swedish, English, and mathematics were measured separately on a 7-point scale and dichotomized as high (grades A, B, and C) versus low (grades D, E, and F). High school grades were used as the reference category.

Statistical analyses

The prevalence of mental health problems and bullying at school are presented using descriptive statistics, stratified by survey year (2014, 2018, 2020), gender, and school year (9 versus 11). As noted, we reduced the 18-item questionnaire assessing school function down to five essential factors by conducting a principal axis factor analysis (see Additional file 1 ). We then calculated the association between bullying at school (defined above) and mental health problems using multivariable logistic regression. Results are presented as odds ratios (OR) with 95% confidence intervals (Cis). To assess the contribution of SES and school-related factors to this association, three models are presented: Crude, Model 1 adjusted for demographic factors: age, gender, and assessment year; Model 2 adjusted for Model 1 plus SES (parental education and student spending money), and Model 3 adjusted for Model 2 plus school-related factors (school grades and the five factors identified in the principal factor analysis). These covariates were entered into the regression models in three blocks, where the final model represents the fully adjusted analyses. In all models, the category ‘not bullied at school’ was used as the reference. Pseudo R-square was calculated to estimate what proportion of the variance in mental health problems was explained by each model. Unlike the R-square statistic derived from linear regression, the Pseudo R-square statistic derived from logistic regression gives an indicator of the explained variance, as opposed to an exact estimate, and is considered informative in identifying the relative contribution of each model to the outcome [ 20 ]. All analyses were performed using SPSS v. 26.0.

Prevalence of bullying at school and mental health problems

Estimates of the prevalence of bullying at school and mental health problems across the 12 strata of data (3 years × 2 school grades × 2 genders) are shown in Table 1 . The prevalence of bullying at school increased minimally (< 1%) between 2014 and 2020, except among girls in grade 11 (2.5% increase). Mental health problems increased between 2014 and 2020 (range = 1.2% [boys in year 11] to 4.6% [girls in year 11]); were three to four times more prevalent among girls (range = 11.6% to 17.2%) compared to boys (range = 2.6% to 4.9%); and were more prevalent among older adolescents compared to younger adolescents (range = 1% to 3.1% higher). Pooling all data, reports of mental health problems were four times more prevalent among boys who had been victims of bullying compared to those who reported no experiences with bullying. The corresponding figure for girls was two and a half times as prevalent.

Associations between bullying at school and mental health problems

Table 2 shows the association between bullying at school and mental health problems after adjustment for relevant covariates. Demographic factors, including female gender (OR = 3.87; CI 3.48–4.29), older age (OR = 1.38, CI 1.26–1.50), and more recent assessment year (OR = 1.18, CI 1.13–1.25) were associated with higher odds of mental health problems. In Model 2, none of the included SES variables (parental education and student spending money) were associated with mental health problems. In Model 3 (fully adjusted), the following school-related factors were associated with higher odds of mental health problems: lower grades in Swedish (OR = 1.42, CI 1.22–1.67); uninteresting or meaningless schoolwork (OR = 2.44, CI 2.13–2.78); feeling unwell at school (OR = 1.64, CI 1.34–1.85); unstructured school lessons (OR = 1.31, CI = 1.16–1.47); and no praise for achievements (OR = 1.19, CI 1.06–1.34). After adjustment for all covariates, being bullied at school remained associated with higher odds of mental health problems (OR = 2.57; CI 2.24–2.96). Demographic and school-related factors explained 12% and 6% of the variance in mental health problems, respectively (Pseudo R-Square). The inclusion of socioeconomic factors did not alter the variance explained.

Our findings indicate that mental health problems increased among Swedish adolescents between 2014 and 2020, while the prevalence of bullying at school remained stable (< 1% increase), except among girls in year 11, where the prevalence increased by 2.5%. As previously reported [ 5 , 6 ], mental health problems were more common among girls and older adolescents. These findings align with previous studies showing that adolescents who are bullied at school are more likely to experience mental health problems compared to those who are not bullied [ 3 , 4 , 9 ]. This detrimental relationship was observed after adjustment for school-related factors shown to be associated with adolescent mental health [ 10 ].

A novel finding was that boys who had been bullied at school reported a four-times higher prevalence of mental health problems compared to non-bullied boys. The corresponding figure for girls was 2.5 times higher for those who were bullied compared to non-bullied girls, which could indicate that boys are more vulnerable to the deleterious effects of bullying than girls. Alternatively, it may indicate that boys are (on average) bullied more frequently or more intensely than girls, leading to worse mental health. Social support could also play a role; adolescent girls often have stronger social networks than boys and could be more inclined to voice concerns about bullying to significant others, who in turn may offer supports which are protective [ 21 ]. Related studies partly confirm this speculative explanation. An Estonian study involving 2048 children and adolescents aged 10–16 years found that, compared to girls, boys who had been bullied were more likely to report severe distress, measured by poor mental health and feelings of hopelessness [ 22 ].

Other studies suggest that heritable traits, such as the tendency to internalize problems and having low self-esteem are associated with being a bully-victim [ 23 ]. Genetics are understood to explain a large proportion of bullying-related behaviors among adolescents. A study from the Netherlands involving 8215 primary school children found that genetics explained approximately 65% of the risk of being a bully-victim [ 24 ]. This proportion was similar for boys and girls. Higher than average body mass index (BMI) is another recognized risk factor [ 25 ]. A recent Australian trial involving 13 schools and 1087 students (mean age = 13 years) targeted adolescents with high-risk personality traits (hopelessness, anxiety sensitivity, impulsivity, sensation seeking) to reduce bullying at school; both as victims and perpetrators [ 26 ]. There was no significant intervention effect for bullying victimization or perpetration in the total sample. In a secondary analysis, compared to the control schools, intervention school students showed greater reductions in victimization, suicidal ideation, and emotional symptoms. These findings potentially support targeting high-risk personality traits in bullying prevention [ 26 ].

The relative stability of bullying at school between 2014 and 2020 suggests that other factors may better explain the increase in mental health problems seen here. Many factors could be contributing to these changes, including the increasingly competitive labour market, higher demands for education, and the rapid expansion of social media [ 19 , 27 , 28 ]. A recent Swedish study involving 29,199 students aged between 11 and 16 years found that the effects of school stress on psychosomatic symptoms have become stronger over time (1993–2017) and have increased more among girls than among boys [ 10 ]. Research is needed examining possible gender differences in perceived school stress and how these differences moderate associations between bullying and mental health.

Strengths and limitations

Strengths of the current study include the large participant sample from diverse schools; public and private, theoretical and practical orientations. The survey included items measuring diverse aspects of the school environment; factors previously linked to adolescent mental health but rarely included as covariates in studies of bullying and mental health. Some limitations are also acknowledged. These data are cross-sectional which means that the direction of the associations cannot be determined. Moreover, all the variables measured were self-reported. Previous studies indicate that students tend to under-report bullying and mental health problems [ 29 ]; thus, our results may underestimate the prevalence of these behaviors.

In conclusion, consistent with our stated hypotheses, we observed an increase in self-reported mental health problems among Swedish adolescents, and a detrimental association between bullying at school and mental health problems. Although bullying at school does not appear to be the primary explanation for these changes, bullying was detrimentally associated with mental health after adjustment for relevant demographic, socio-economic, and school-related factors, confirming our third hypothesis. The finding that boys are potentially more vulnerable than girls to the deleterious effects of bullying should be replicated in future studies, and the mechanisms investigated. Future studies should examine the longitudinal association between bullying and mental health, including which factors mediate/moderate this relationship. Epigenetic studies are also required to better understand the complex interaction between environmental and biological risk factors for adolescent mental health [ 24 ].

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Olweus D. School bullying: development and some important challenges. Ann Rev Clin Psychol. 2013;9(9):751–80. https://doi.org/10.1146/annurev-clinpsy-050212-185516 .

Article   Google Scholar  

Arseneault L, Bowes L, Shakoor S. Bullying victimization in youths and mental health problems: “Much ado about nothing”? Psychol Med. 2010;40(5):717–29. https://doi.org/10.1017/S0033291709991383 .

Article   CAS   PubMed   Google Scholar  

Arseneault L. The long-term impact of bullying victimization on mental health. World Psychiatry. 2017;16(1):27–8. https://doi.org/10.1002/wps.20399 .

Article   PubMed   PubMed Central   Google Scholar  

Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, Scott JG. Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J Psychiatry. 2017;7(1):60–76. https://doi.org/10.5498/wjp.v7.i1.60 .

Hagquist C, Due P, Torsheim T, Valimaa R. Cross-country comparisons of trends in adolescent psychosomatic symptoms—a Rasch analysis of HBSC data from four Nordic countries. Health Qual Life Outcomes. 2019;17(1):27. https://doi.org/10.1186/s12955-019-1097-x .

Deighton J, Lereya ST, Casey P, Patalay P, Humphrey N, Wolpert M. Prevalence of mental health problems in schools: poverty and other risk factors among 28 000 adolescents in England. Br J Psychiatry. 2019;215(3):565–7. https://doi.org/10.1192/bjp.2019.19 .

Article   PubMed Central   Google Scholar  

Le HTH, Tran N, Campbell MA, Gatton ML, Nguyen HT, Dunne MP. Mental health problems both precede and follow bullying among adolescents and the effects differ by gender: a cross-lagged panel analysis of school-based longitudinal data in Vietnam. Int J Ment Health Syst. 2019. https://doi.org/10.1186/s13033-019-0291-x .

Bayer JK, Mundy L, Stokes I, Hearps S, Allen N, Patton G. Bullying, mental health and friendship in Australian primary school children. Child Adolesc Ment Health. 2018;23(4):334–40. https://doi.org/10.1111/camh.12261 .

Article   PubMed   Google Scholar  

Hysing M, Askeland KG, La Greca AM, Solberg ME, Breivik K, Sivertsen B. Bullying involvement in adolescence: implications for sleep, mental health, and academic outcomes. J Interpers Violence. 2019. https://doi.org/10.1177/0886260519853409 .

Hogberg B, Strandh M, Hagquist C. Gender and secular trends in adolescent mental health over 24 years—the role of school-related stress. Soc Sci Med. 2020. https://doi.org/10.1016/j.socscimed.2020.112890 .

Kidger J, Araya R, Donovan J, Gunnell D. The effect of the school environment on the emotional health of adolescents: a systematic review. Pediatrics. 2012;129(5):925–49. https://doi.org/10.1542/peds.2011-2248 .

Saminathen MG, Låftman SB, Modin B. En fungerande skola för alla: skolmiljön som skyddsfaktor för ungas psykiska välbefinnande. [A functioning school for all: the school environment as a protective factor for young people’s mental well-being]. Socialmedicinsk tidskrift [Soc Med]. 2020;97(5–6):804–16.

Google Scholar  

Bibou-Nakou I, Tsiantis J, Assimopoulos H, Chatzilambou P, Giannakopoulou D. School factors related to bullying: a qualitative study of early adolescent students. Soc Psychol Educ. 2012;15(2):125–45. https://doi.org/10.1007/s11218-012-9179-1 .

Vukojevic M, Zovko A, Talic I, Tanovic M, Resic B, Vrdoljak I, Splavski B. Parental socioeconomic status as a predictor of physical and mental health outcomes in children—literature review. Acta Clin Croat. 2017;56(4):742–8. https://doi.org/10.20471/acc.2017.56.04.23 .

Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review. Soc Sci Med. 2013;90:24–31. https://doi.org/10.1016/j.socscimed.2013.04.026 .

Stockholm City. Stockholmsenkät (The Stockholm Student Survey). 2021. https://start.stockholm/aktuellt/nyheter/2020/09/presstraff-stockholmsenkaten-2020/ . Accessed 19 Nov 2021.

Zeebari Z, Lundin A, Dickman PW, Hallgren M. Are changes in alcohol consumption among swedish youth really occurring “in concert”? A new perspective using quantile regression. Alc Alcohol. 2017;52(4):487–95. https://doi.org/10.1093/alcalc/agx020 .

Hagquist C. Psychometric properties of the PsychoSomatic Problems Scale: a Rasch analysis on adolescent data. Social Indicat Res. 2008;86(3):511–23. https://doi.org/10.1007/s11205-007-9186-3 .

Hagquist C. Ungas psykiska hälsa i Sverige–komplexa trender och stora kunskapsluckor [Young people’s mental health in Sweden—complex trends and large knowledge gaps]. Socialmedicinsk tidskrift [Soc Med]. 2013;90(5):671–83.

Wu W, West SG. Detecting misspecification in mean structures for growth curve models: performance of pseudo R(2)s and concordance correlation coefficients. Struct Equ Model. 2013;20(3):455–78. https://doi.org/10.1080/10705511.2013.797829 .

Holt MK, Espelage DL. Perceived social support among bullies, victims, and bully-victims. J Youth Adolscence. 2007;36(8):984–94. https://doi.org/10.1007/s10964-006-9153-3 .

Mark L, Varnik A, Sisask M. Who suffers most from being involved in bullying-bully, victim, or bully-victim? J Sch Health. 2019;89(2):136–44. https://doi.org/10.1111/josh.12720 .

Tsaousis I. The relationship of self-esteem to bullying perpetration and peer victimization among schoolchildren and adolescents: a meta-analytic review. Aggress Violent Behav. 2016;31:186–99. https://doi.org/10.1016/j.avb.2016.09.005 .

Veldkamp SAM, Boomsma DI, de Zeeuw EL, van Beijsterveldt CEM, Bartels M, Dolan CV, van Bergen E. Genetic and environmental influences on different forms of bullying perpetration, bullying victimization, and their co-occurrence. Behav Genet. 2019;49(5):432–43. https://doi.org/10.1007/s10519-019-09968-5 .

Janssen I, Craig WM, Boyce WF, Pickett W. Associations between overweight and obesity with bullying behaviors in school-aged children. Pediatrics. 2004;113(5):1187–94. https://doi.org/10.1542/peds.113.5.1187 .

Kelly EV, Newton NC, Stapinski LA, Conrod PJ, Barrett EL, Champion KE, Teesson M. A novel approach to tackling bullying in schools: personality-targeted intervention for adolescent victims and bullies in Australia. J Am Acad Child Adolesc Psychiatry. 2020;59(4):508. https://doi.org/10.1016/j.jaac.2019.04.010 .

Gunnell D, Kidger J, Elvidge H. Adolescent mental health in crisis. BMJ. 2018. https://doi.org/10.1136/bmj.k2608 .

O’Reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S, Reilly P. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin Child Psychol Psychiatry. 2018;23:601–13.

Unnever JD, Cornell DG. Middle school victims of bullying: who reports being bullied? Aggr Behav. 2004;30(5):373–88. https://doi.org/10.1002/ab.20030 .

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Acknowledgements

Authors are grateful to the Department for Social Affairs, Stockholm, for permission to use data from the Stockholm School Survey.

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HK conceived the study and analyzed the data (with input from MH). HK and MH interpreted the data and jointly wrote the manuscript. All authors read and approved the final manuscript.

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Principal factor analysis description.

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Källmén, H., Hallgren, M. Bullying at school and mental health problems among adolescents: a repeated cross-sectional study. Child Adolesc Psychiatry Ment Health 15 , 74 (2021). https://doi.org/10.1186/s13034-021-00425-y

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Introduction

School bullying research has a long history, stretching all the way back to a questionnaire study undertaken in the USA in the late 1800s (Burk, 1897 ). However, systematic school bullying research began in earnest in Scandinavia in the early 1970s with the work of Heinemann ( 1972 ) and Olweus ( 1978 ). Highlighting the extent to which research on bullying has grown exponentially since then, Smith et al. ( 2021 ) found that there were only 83 articles with the term “bully” in the title or abstract published in the Web of Science database prior to 1989. The numbers of articles found in the following decades were 458 (1990–1999), 1,996 (2000–2009), and 9,333 (2010–2019). Considering cyberbullying more specifically, Smith and Berkkun ( 2017 , cited in Smith et al., 2021 ) conducted a search of Web of Science with the terms “cyber* and bully*; cyber and victim*; electronic bullying; Internet bullying; and online harassment” until the year 2015 and found that while there were no articles published prior to 2000, 538 articles were published between 2000 and 2015, with the number of articles increasing every year (p. 49).

Numerous authors have pointed out that research into school bullying and cyberbullying has predominantly been conducted using quantitative methods, with much less use of qualitative or mixed methods (Hong & Espelage, 2012 ; Hutson, 2018 ; Maran & Begotti, 2021 ; Smith et al., 2021 ). In their recent analysis of articles published between 1976 and 2019 (in WoS, with the search terms “bully*; victim*; cyberbullying; electronic bullying; internet bullying; and online harassment”), Smith et al. ( 2021 , pp. 50–51) found that of the empirical articles selected, more than three-quarters (76.3%) were based on quantitative data, 15.4% were based on a combination of quantitative and qualitative data, and less than one-tenth (8.4%) were based on qualitative data alone. What is more, they found that the proportion of articles based on qualitative or mixed methods has been decreasing over the past 15 years (Smith et al., 2021 ). While the search criteria excluded certain types of qualitative studies (e.g., those published in books, doctoral theses, and non-English languages), this nonetheless highlights the extent to which qualitative research findings risk being overlooked in the vast sea of quantitative research.

School bullying and cyberbullying are complex phenomena, and a range of methodological approaches is thus needed to understand their complexity (Pellegrini & Bartini, 2000 ; Thornberg, 2011 ). Indeed, over-relying on quantitative methods limits understanding of the contexts and experiences of bullying (Hong & Espelage, 2012 ; Patton et al., 2017 ). Qualitative methods are particularly useful for better understanding the social contexts, processes, interactions, experiences, motivations, and perspectives of those involved (Hutson, 2018 ; Patton et al., 2017 ; Thornberg, 2011 ; Torrance, 2000 ).

Smith et al. ( 2021 ) suggest that the “continued emphasis on quantitative studies may be due to increasingly sophisticated methods such as structural equation modeling … network analysis … time trend analyses … latent profile analyses … and multi-polygenic score approaches” (p. 56). However, the authors make no mention of the range or sophistication of methods used in qualitative studies. Although there are still proportionately few qualitative studies of school bullying and cyberbullying in relation to quantitative studies, and this gap appears to be increasing, qualitative studies have utilized a range of qualitative data collection methods. These methods have included but are not limited to ethnographic fieldwork and participant observations (e.g., Eriksen & Lyng, 2018 ; Gumpel et al., 2014 ; Horton, 2019 ), digital ethnography (e.g., Rachoene & Oyedemi, 2015 ; Sylwander, 2019 ), meta-ethnography (e.g., Dennehy et al., 2020 ; Moretti & Herkovits, 2021 ), focus group interviews (e.g., Odenbring, 2022 ; Oliver & Candappa, 2007 ; Ybarra et al., 2019 ), semi-structured group and individual interviews (e.g., Forsberg & Thornberg, 2016 ; Lyng, 2018 ; Mishna et al., 2005 ; Varjas et al., 2013 ), vignettes (e.g., Jennifer & Cowie, 2012 ; Khanolainen & Semenova, 2020 ; Strindberg et al., 2020 ), memory work (e.g., Johnson et al., 2014 ; Malaby, 2009 ), literature studies (e.g., Lopez-Ropero, 2012 ; Wiseman et al., 2019 ), photo elicitation (e.g., Ganbaatar et al., 2021 ; Newman et al., 2006 ; Walton & Niblett, 2013 ), photostory method (e.g., Skrzypiec et al., 2015 ), and other visual works produced by children and young people (e.g., Bosacki et al., 2006 ; Gillies-Rezo & Bosacki, 2003 ).

This body of research has also included a variety of qualitative data analysis methods, such as grounded theory (e.g., Allen, 2015 ; Bjereld, 2018 ; Thornberg, 2018 ), thematic analysis (e.g., Cunningham et al., 2016 ; Forsberg & Horton, 2022 ), content analysis (e.g., Temko, 2019 ; Wiseman & Jones, 2018 ), conversation analysis (e.g., Evaldsson & Svahn, 2012 ; Tholander, 2019 ), narrative analysis (e.g., Haines-Saah et al., 2018 ), interpretative phenomenological analysis (e.g., Hutchinson, 2012 ; Tholander et al., 2020 ), various forms of discourse analysis (e.g., Ellwood & Davies, 2010 ; Hepburn, 1997 ; Ringrose & Renold, 2010 ), including discursive psychological analysis (e.g., Clarke et al., 2004 ), and critical discourse analysis (e.g., Barrett & Bound, 2015 ; Bethune & Gonick, 2017 ; Horton, 2021 ), as well as theoretically informed analyses from an array of research traditions (e.g., Davies, 2011 ; Jacobson, 2010 ; Søndergaard, 2012 ; Walton, 2005 ).

In light of the growing volume and variety of qualitative studies during the past two decades, we invited researchers to discuss and explore methodological issues related to their qualitative school bullying and cyberbullying research. The articles included in this special issue of the International Journal of Bullying Prevention discuss different qualitative methods, reflect on strengths and limitations — possibilities and challenges, and suggest implications for future qualitative and mixed-methods research.

Included Articles

Qualitative studies — focusing on social, relational, contextual, processual, structural, and/or societal factors and mechanisms — have formed the basis for several contributions during the last two decades that have sought to expand approaches to understanding and theorizing the causes of cyber/bullying. Some have also argued the need for expanding the commonly used definition of bullying, based on Olweus ( 1993 ) (e.g., Allen, 2015 ; Ellwood & Davies, 2010 Goldsmid & Howie, 2014 ; Ringrose & Rawlings,  2015 ; Søndergaard, 2012 ; Walton, 2011 ). In the first article of the special issue, Using qualitative methods to measure and understand key features of adolescent bullying: A call to action , Natalie Spadafora, Anthony Volk, and Andrew Dane instead discuss the usefulness of qualitative methods for improving measures and bettering our understanding of three specific key definitional features of bullying. Focusing on the definition put forward by Volk et al. ( 2014 ), they discuss the definitional features of power imbalance , goal directedness (replacing “intent to harm” in order not to assume conscious awareness, and to include a wide spectrum of goals that are intentionally and strategically pursued by bullies), and harmful impact (replacing “negative actions” in order to focus on the consequences for the victim, as well as circumventing difficult issues related to “repetition” in the traditional definition).

Acknowledging that these three features are challenging to capture using quantitative methods, Spadafora, Volk, and Dane point to existing qualitative studies that shed light on the features of power imbalance, goal directedness and harmful impact in bullying interactions — and put forward suggestions for future qualitative studies. More specifically, the authors argue that qualitative methods, such as focus groups, can be used to investigate the complexity of power relations at not only individual, but also social levels. They also highlight how qualitative methods, such as diaries and autoethnography, may help researchers gain a better understanding of the motives behind bullying behavior; from the perspectives of those engaging in it. Finally, the authors demonstrate how qualitative methods, such as ethnographic fieldwork and semi-structured interviews, can provide important insights into the harmful impact of bullying and how, for example, perceived harmfulness may be connected to perceived intention.

In the second article, Understanding bullying and cyberbullying through an ecological systems framework: The value of qualitative interviewing in a mixed methods approach , Faye Mishna, Arija Birze, and Andrea Greenblatt discuss the ways in which utilizing qualitative interviewing in mixed method approaches can facilitate greater understanding of bullying and cyberbullying. Based on a longitudinal and multi-perspective mixed methods study of cyberbullying, the authors demonstrate not only how qualitative interviewing can augment quantitative findings by examining process, context and meaning for those involved, but also how qualitative interviewing can lead to new insights and new areas of research. They also show how qualitative interviewing can help to capture nuances and complexity by allowing young people to express their perspectives and elaborate on their answers to questions. In line with this, the authors also raise the importance of qualitative interviewing for providing young people with space for self-reflection and learning.

In the third article, Q methodology as an innovative addition to bullying researchers’ methodological repertoire , Adrian Lundberg and Lisa Hellström focus on Q methodology as an inherently mixed methods approach, producing quantitative data from subjective viewpoints, and thus supplementing more mainstream quantitative and qualitative approaches. The authors outline and exemplify Q methodology as a research technique, focusing on the central feature of Q sorting. The authors further discuss the contribution of Q methodology to bullying research, highlighting the potential of Q methodology to address challenges related to gaining the perspectives of hard-to-reach populations who may either be unwilling or unable to share their personal experiences of bullying. As the authors point out, the use of card sorting activities allows participants to put forward their subjective perspectives, in less-intrusive settings for data collection and without disclosing their own personal experiences. The authors also illustrate how the flexibility of Q sorting can facilitate the participation of participants with limited verbal literacy and/or cognitive function through the use of images, objects or symbols. In the final part of the paper, Lundberg and Hellström discuss implications for practice and suggest future directions for using Q methodology in bullying and cyberbullying research, particularly with hard-to-reach populations.

In the fourth article, The importance of being attentive to social processes in school bullying research: Adopting a constructivist grounded theory approach , Camilla Forsberg discusses the use of constructivist grounded theory (CGT) in her research, focusing on social structures, norms, and processes. Forsberg first outlines CGT as a theory-methods package that is well suited to meet the call for more qualitative research on participants’ experiences and the social processes involved in school bullying. Forsberg emphasizes three key focal aspects of CGT, namely focus on participants’ main concerns; focus on meaning, actions, and processes; and focus on symbolic interactionism. She then provides examples and reflections from her own ethnographic and interview-based research, from different stages of the research process. In the last part of the article, Forsberg argues that prioritizing the perspectives of participants is an ethical stance, but one which comes with a number of ethical challenges, and points to ways in which CGT is helpful in dealing with these challenges.

In the fifth article, A qualitative meta-study of youth voice and co-participatory research practices: Informing cyber/bullying research methodologies , Deborah Green, Carmel Taddeo, Deborah Price, Foteini Pasenidou, and Barbara Spears discuss how qualitative meta-studies can be used to inform research methodologies for studying school bullying and cyberbullying. Drawing on the findings of five previous qualitative studies, and with a transdisciplinary and transformative approach, the authors illustrate and exemplify how previous qualitative research can be analyzed to gain a better understanding of the studies’ collective strengths and thus consider the findings and methods beyond the original settings where the research was conducted. In doing so, the authors highlight the progression of youth voice and co-participatory research practices, the centrality of children and young people to the research process and the enabling effect of technology — and discuss challenges related to ethical issues, resource and time demands, the role of gatekeepers, and common limitations of qualitative studies on youth voice and co-participatory research practices.

Taken together, the five articles illustrate the diversity of qualitative methods used to study school bullying and cyberbullying and highlight the need for further qualitative research. We hope that readers will find the collection of articles engaging and that the special issue not only gives impetus to increased qualitative focus on the complex phenomena of school bullying and cyberbullying but also to further discussions on both methodological and analytical approaches.

Allen, K. A. (2015). “We don’t have bullying, but we have drama”: Understandings of bullying and related constructs within the school milieu of a U.S. high school. Journal of Human Behavior in the Social Environment , 25 (3), 159–181.

Barrett, B., & Bound, A. M. (2015). A critical discourse analysis of No Promo Homo policies in US schools. Educational Studies, 51 (4), 267–283.

Article   Google Scholar  

Bethune, J., & Gonick, M. (2017). Schooling the mean girl: A critical discourse analysis of teacher resource materials. Gender and Education, 29 (3), 389–404.

Bjereld, Y. (2018). The challenging process of disclosing bullying victimization: A grounded theory study from the victim’s point of view. Journal of Health Psychology, 23 (8), 1110–1118.

Article   PubMed   Google Scholar  

Bosacki, S. L., Marini, Z. A., & Dane, A. V. (2006). Voices from the classroom: Pictorial and narrative representations of children’s bullying experiences. Journal of Moral Education, 35 (2), 231–245.

Burk, F. L. (1897). Teasing and Bullying. Pedagogical Seminary, 4 (3), 336–371.

Clarke, V., Kitzinger, C., & Potter, J. (2004). ‘Kids are just cruel anyway’: Lesbian and gay parents’ talk about homophobic bullying. British Journal of Social Psychology, 43 (4), 531–550.

Cunningham, C. E., Mapp, C., Rimas, H., Cunningham, S. M., Vaillancourt, T., & Marcus, M. (2016). What limits the effectiveness of antibullying programs? A thematic analysis of the perspective of students. Psychology of Violence, 6 (4), 596–606.

Davies, B. (2011). Bullies as guardians of the moral order or an ethic of truths? Children & Society, 25 , 278–286.

Dennehy, R., Meaney, S., Walsh, K. A., Sinnott, C., Cronin, M., & Arensman, E. (2020). Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research. Aggression and Violent Behavior, 51 , 101379.

Ellwood, C., & Davies, B. (2010). Violence and the moral order in contemporary schooling: A discursive analysis. Qualitative Research in Psychology, 7 (2), 85–98.

Eriksen, I. M., & Lyng, S. T. (2018). Relational aggression among boys: Blind spots and hidden dramas. Gender and Education, 30 (3), 396–409.

Evaldsson, A. -C., Svahn, J. (2012). School bullying and the micro-politics of girls’ gossip disputes. In S. Danby & M. Theobald (Eds.). Disputes in everyday life: Social and moral orders of children and young people (Sociological Studies of Children and Youth, Vol. 15) (pp. 297–323). Bingley: Emerald Group Publishing.

Forsberg, C., & Horton, P. (2022). ‘Because I am me’: School bullying and the presentation of self in everyday school life. Journal of Youth Studies, 25 (2), 136–150.

Forsberg, C., & Thornberg, R. (2016). The social ordering of belonging: Children’s perspectives on bullying. International Journal of Educational Research, 78 , 13–23.

Ganbaatar, D., Vaughan, C., Akter, S., & Bohren, M. A. (2021). Exploring the identities and experiences of young queer people in Mongolia using visual research methods. Culture, Health & Sexuality . Advance Online Publication: https://doi.org/10.1080/13691058.2021.1998631

Gillies-Rezo, S., & Bosacki, S. (2003). Invisible bruises: Kindergartners’ perceptions of bullying. International Journal of Children’s Spirituality, 8 (2), 163–177.

Goldsmid, S., & Howie, P. (2014). Bullying by definition: An examination of definitional components of bullying. Emotional and Behavioural Difficulties, 19 (2), 210–225.

Gumpel, T. P., Zioni-Koren, V., & Bekerman, Z. (2014). An ethnographic study of participant roles in school bullying. Aggressive Behavior, 40 (3), 214–228.

Haines-Saah, R. J., Hilario, C. T., Jenkins, E. K., Ng, C. K. Y., & Johnson, J. L. (2018). Understanding adolescent narratives about “bullying” through an intersectional lens: Implications for youth mental health interventions. Youth & Society, 50 (5), 636–658.

Heinemann, P. -P. (1972). Mobbning – gruppvåld bland barn och vuxna [Bullying – group violence amongst children and adults]. Stockholm: Natur och Kultur.

Hepburn, A. (1997). Discursive strategies in bullying talk. Education and Society, 15 (1), 13–31.

Hong, J. S., & Espelage, D. L. (2012). A review of mixed methods research on bullying and peer victimization in school. Educational Review, 64 (1), 115–126.

Horton, P. (2019). The bullied boy: Masculinity, embodiment, and the gendered social-ecology of Vietnamese school bullying. Gender and Education, 31 (3), 394–407.

Horton, P. (2021). Building walls: Trump election rhetoric, bullying and harassment in US schools. Confero: Essays on Education, Philosophy and Politics , 8 (1), 7–32.

Hutchinson, M. (2012). Exploring the impact of bullying on young bystanders. Educational Psychology in Practice, 28 (4), 425–442.

Hutson, E. (2018). Integrative review of qualitative research on the emotional experience of bullying victimization in youth. The Journal of School Nursing, 34 (1), 51–59.

Jacobson, R. B. (2010). A place to stand: Intersubjectivity and the desire to dominate. Studies in Philosophy and Education, 29 , 35–51.

Jennifer, D., & Cowie, H. (2012). Listening to children’s voices: Moral emotional attributions in relation to primary school bullying. Emotional and Behavioural Difficulties, 17 (3–4), 229–241.

Johnson, C. W., Singh, A. A., & Gonzalez, M. (2014). “It’s complicated”: Collective memories of transgender, queer, and questioning youth in high school. Journal of Homosexuality, 61 (3), 419–434.

Khanolainen, D., & Semenova, E. (2020). School bullying through graphic vignettes: Developing a new arts-based method to study a sensitive topic. International Journal of Qualitative Methods, 19 , 1–15.

Lopez-Ropero, L. (2012). ‘You are a flaw in the pattern’: Difference, autonomy and bullying in YA fiction. Children’s Literature in Education, 43 , 145–157.

Lyng, S. T. (2018). The social production of bullying: Expanding the repertoire of approaches to group dynamics. Children & Society, 32 (6), 492–502.

Malaby, M. (2009). Public and secret agents: Personal power and reflective agency in male memories of childhood violence and bullying. Gender and Education, 21 (4), 371–386.

Maran, D. A., & Begotti, T. (2021). Measurement issues relevant to qualitative studies. In P. K. Smith & J. O’Higgins Norman (Eds.). The Wiley handbook of bullying (pp. 233–249). John Wiley & Sons.

Mishna, F., Scarcello, I., Pepler, D., & Wiener, J. (2005). Teachers’ understandings of bullying. Canadian Journal of Education, 28 (4), 718–738.

Moretti, C., & Herkovits, D. (2021). Victims, perpetrators, and bystanders: A meta-ethnography of roles in cyberbullying. Cad. Saúde Pública, 37 (4), e00097120.

Newman, M., Woodcock, A., & Dunham, P. (2006). ‘Playtime in the borderlands’: Children’s representations of school, gender and bullying through photographs and interviews. Children’s Geographies, 4 (3), 289–302.

Odenbring, Y. (2022). Standing alone: Sexual minority status and victimisation in a rural lower secondary school. International Journal of Inclusive Education, 26 (5), 480–494.

Oliver, C., & Candappa, M. (2007). Bullying and the politics of ‘telling.’ Oxford Review of Education, 33 (1), 71–86.

Olweus, D. (1978). Aggression in the schools – Bullies and the whipping boys . Wiley.

Google Scholar  

Olweus, D. (1993). Bullying in school: What we know and what we can do . Blackwell.

Patton, D. U., Hong, J. S., Patel, S., & Kral, M. J. (2017). A systematic review of research strategies used in qualitative studies on school bullying and victimization. Trauma, Violence, & Abuse, 18 (1), 3–16.

Pellegrini, A. D., & Bartini, M. (2000). A longitudinal study of bullying, victimization, and peer affiliation during the transition from primary school to middle school. American Educational Research Journal, 37 (3), 699–725.

Rachoene, M., & Oyedemi, T. (2015). From self-expression to social aggression: Cyberbullying culture among South African youth on Facebook. Communicatio: South African Journal for Communication Theory and Research , 41 (3), 302–319.

Ringrose, J., & Rawlings, V. (2015). Posthuman performativity, gender and ‘school bullying’: Exploring the material-discursive intra-actions of skirts, hair, sluts, and poofs.  Confero: Essays on Education, Philosophy and Politics , 3 (2), 80–119.

Ringrose, J., & Renold, E. (2010). Normative cruelties and gender deviants: The performative effects of bully discourses for girls and boys in school. British Educational Research Journal, 36 (4), 573–596.

Skrzypiec, G., Slee, P., & Sandhu, D. (2015). Using the PhotoStory method to understand the cultural context of youth victimization in the Punjab. The International Journal of Emotional Education, 7 (1), 52–68.

Smith, P., Robinson, S., & Slonje, R. (2021). The school bullying research program: Why and how it has developed. In P. K. Smith & J. O’Higgins Norman (Eds.). The Wiley handbook of bullying (pp. 42–59). John Wiley & Sons.

Smith, P. K., & Berkkun, F. (2017). How research on school bullying has developed. In C. McGuckin & L. Corcoran (Eds.), Bullying and cyberbullying: Prevalence, psychological impacts and intervention strategies (pp. 11–27). Hauppage, NY: Nova Science.

Strindberg, J., Horton, P., & Thornberg, R. (2020). The fear of being singled out: Pupils’ perspectives on victimization and bystanding in bullying situations. British Journal of Sociology of Education, 41 (7), 942–957.

Sylwander, K. R. (2019). Affective atmospheres of sexualized hate among youth online: A contribution to bullying and cyberbullying research on social atmosphere. International Journal of Bullying Prevention, 1 , 269–284.

Søndergaard, D. M. (2012). Bullying and social exclusion anxiety in schools. British Journal of Sociology of Education, 33 (3), 355–372.

Temko, E. (2019). Missing structure: A critical content analysis of the Olweus Bullying Prevention Program. Children & Society, 33 (1), 1–12.

Tholander, M. (2019). The making and unmaking of a bullying victim. Interchange, 50 , 1–23.

Tholander, M., Lindberg, A., & Svensson, D. (2020). “A freak that no one can love”: Difficult knowledge in testimonials on school bullying. Research Papers in Education, 35 (3), 359–377.

Thornberg, R. (2011). ‘She’s weird!’ – The social construction of bullying in school: A review of qualitative research. Children & Society, 25 , 258–267.

Thornberg, R. (2018). School bullying and fitting into the peer landscape: A grounded theory field study. British Journal of Sociology of Education, 39 (1), 144–158.

Torrance, D. A. (2000). Qualitative studies into bullying within special schools. British Journal of Special Education, 27 (1), 16–21.

Varjas, K., Meyers, J., Kiperman, S., & Howard, A. (2013). Technology hurts? Lesbian, gay, and bisexual youth perspectives of technology and cyberbullying. Journal of School Violence, 12 (1), 27–44.

Volk, A. A., Dane, A. V., & Marini, Z. A. (2014). What is bullying? A Theoretical Redefinition, Developmental Review, 34 (4), 327–343.

Walton, G. (2005). Bullying widespread. Journal of School Violence, 4 (1), 91–118.

Walton, G. (2011). Spinning our wheels: Reconceptualizing bullying beyond behaviour-focused Approaches.  Discourse: Studies in the Cultural Politics of Education , 32 (1), 131–144.

Walton, G., & Niblett, B. (2013). Investigating the problem of bullying through photo elicitation. Journal of Youth Studies, 16 (5), 646–662.

Wiseman, A. M., & Jones, J. S. (2018). Examining depictions of bullying in children’s picturebooks: A content analysis from 1997 to 2017. Journal of Research in Childhood Education, 32 (2), 190–201.

Wiseman, A. M., Vehabovic, N., & Jones, J. S. (2019). Intersections of race and bullying in children’s literature: Transitions, racism, and counternarratives. Early Childhood Education Journal, 47 , 465–474.

Ybarra, M. L., Espelage, D. L., Valido, A., Hong, J. S., & Prescott, T. L. (2019). Perceptions of middle school youth about school bullying. Journal of Adolescence, 75 , 175–187.

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Acknowledgements

We would like to thank the authors for sharing their work; Angela Mazzone, James O’Higgins Norman, and Sameer Hinduja for their editorial assistance; and Dorte Marie Søndergaard on the editorial board for suggesting a special issue on qualitative research in the journal.

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Horton, P., Lyng, S.T. Qualitative Methods in School Bullying and Cyberbullying Research: An Introduction to the Special Issue. Int Journal of Bullying Prevention 4 , 175–179 (2022). https://doi.org/10.1007/s42380-022-00139-5

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Published : 12 August 2022

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DOI : https://doi.org/10.1007/s42380-022-00139-5

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Exploring school bullying: designing the research question with young co-researchers.

1. Introduction

1.1. participatory action research.

“is a collaborative approach in which those typically ‘studied’ are involved as decision makers and co-researchers in some or all stages of the research”.

1.2. Understanding and Recognising Bullying

School bullying is in-person and online behaviour between students within a social network that causes physical, emotional or social harm to targeted students. It is characterized by an imbalance of power that is enabled or inhibited by the social and institutional norms and context of schools and the education system. School bullying implies an absence of effective responses and care towards the target by peers and adults.

1.3. The Present Study

2. the research process, 2.1. the exploratory phase.

“There is a strong sense of the school being more than simply a place to receive academic education. There appears to be a degree of pride among students as part of being in the school” . (Staff Participant SP, Female)

“We have an LGBTQ+ committee and an anti-racism group” , (Student Participant (Stu, Female))

“a multi-cultural day, anti-racism club etc.” , (Stu, Female)

“Have students from all over the world” . (Stu, Female)

“The staff are oblivious and just let the one person get away with it Every Single Time. It’s like he gets a slap on the wrist and gets on with life. I don’t want a big scene about it I just want that person to stop it. He sexualises 14-year-old girls and it’s not okay.” . (Stu, Female)

“It’s the society that we’re living in right now in that people are just acting out more and people are like not really caring what’s going on. And not really caring about other people” . (Stu, Male)

“…nested within one another, co-implicating and cohabitating. Yet each retains its own distinct identity, organising logic and emerging patterns”.

“Stitches for snitches is still a popular phrase. We are finding it difficult to become a telling school” . (SP, Female)

“You would get slagged by students if they become aware” . (Stu, Female)

“Most of the girls I think just kind of sit and kind of be quiet.”. (Stu, Female)

“And like if they’re asked a question, they answer.”. (Stu, Female)

“Yeah, but you don’t really like… Not that you don’t engage in the class but it’s mostly like, if a girl tries to be funny, it’s not funny. If a boy is funny, it is funny.”. (Stu, Female)

“There’s a huge culture of not being a rat around here…. I mean, it goes way back you know.”. (SP, Female)

2.2. Recruiting the Co-Researchers and Steering Group

2.3. deciding the research question.

“In recent years a great deal has been done to address this issue and will be continued to do so, which is very positive”. (SP, Male)

“the LGBTQ+ group are working very hard to encourage inclusion”. (Co-researcher CR, female)

“I think we should focus on Misogyny or/and Sexism in the school because these issues are very prevalent across the entire school. There are sexism issues concerning both the teachers in the school and the students and I believe that they need to be addressed” (CR, Female)

“…dislike of, contempt for, or prejudice against women”.

“I’ve experienced some gender bullying in the school…. It’s more sort of like how you sort of dress and how you look…. Sometimes they can say very nasty sort of names. Or like they just call you stuff, or maybe talk about you”. (CR, Female)

“At yesterday’s meeting, a few of you shared some personal viewpoints and stories so just a reminder of the importance of confidentiality in our sessions (ground rules [ Figure 1 ] that we set at our first meeting) and not sharing other people’s stories outside of our discussions”. (Email 1 March 2022)

“…prejudice or discrimination based on one’s sex or gender. Sexism can affect anyone, but it primarily affects women and girls. It has been linked to stereotypes and gender roles and may include the belief that one’s sex or gender is intrinsically superior to another”. ( European Institute for Gender Equality 2021 )

“And I don’t know, I think that it might be hard for especially some of the boys in our year to decide if it’s like stop as in a joking stop, or stop as in like just stop”. (CR, Female)

“I don’t play rugby anymore but the boy’s rugby team would get new jerseys every year and the girls just don’t ever get rugby jerseys. But then for hockey, it’s similar but like not as bad, not as noticeable as the rugby I think between like boy’s hockey and girl’s hockey”. (CR, Male)

“…. if a school wants to prevent bullying to certain people, vulnerable people. If they want to remove misogynist sayings about women, or even males, they have to push their protocol they have to do every single step. What…is actually getting done? How is it being done? What are the repercussions of this? How are we going to help the bully? How are we going to help the victim?”. (CR, Male)

3. Discussion

• Acknowledging the complexities of power dynamics.
• Understanding time as duration and non-linear.

3.1. Acknowledging the Complexities of Power Dynamics

“…generates different data from adult-to-child enquiry because children observe with different eyes, ask different questions and communicate in fundamentally different ways”.

3.2. Understanding Time as Duration and Non-Linear in the PAR Process 779

4. conclusions, supplementary materials, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.

• Åkerström, Jeanette, and Elinor Brunnberg. 2012. Young people as partners in research: Experiences from an interactive research circle with adolescent girls. Qualitative Research 13: 528–45. [ Google Scholar ] [ CrossRef ]
• Anyon, Yolanda, Bender H. Kennedy, and Jonah Dechants. 2018. A systematic review of Youth Participatory Action Research (YPAR) in the United States: Methodologies, youth osutcomes, and Future Directions. Health Education & Behavior 45: 865–78. [ Google Scholar ] [ CrossRef ]
• Attawell, Kathy. 2019. Behind the Numbers: Ending School Violence and Bullying . Paris: United Nations Educational, Scientific and Cultural Organization. [ Google Scholar ]
• Bergström, Jan, Gerhard Andersson, Brjánn Ljótsson, Christian Rück, Sergej Andréewitch, Andreas Karlsson, Per Carlbring, Erik Andersson, and Nils Lindefors. 2010. Internet-versus group-administered cognitive behaviour therapy for panic disorder in a psychiatric setting: A randomised trial. BMC Psychiatry 10: 54. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Bradbury-Jones, Caroline, and Julie Taylor. 2015. Engaging with children as co-researchers: Challenges, counter-challenges and solutions. International Journal of Social Research Methodology 18: 161–73. [ Google Scholar ] [ CrossRef ]
• Brady, Louca-Mai, Lorna Templeton, Paul Toner, Judith Watson, David Evans, Barry Percy-Smith, and Alex Copello. 2018. Involving young people in drug and alcohol research. Drugs and Alcohol Today 18: 28–38. [ Google Scholar ] [ CrossRef ]
• Brank, Eve M., Jennifer L. Woolard, Veda E. Brown, Mark Fondacaro, Jennifer L. Luescher, Ramona G. Chinn, and Scott A. Miller. 2007. Will they tell? Weapons reporting by middle-school youth. Youth Violence and Juvenile Justice 5: 125–46. [ Google Scholar ] [ CrossRef ]
• Braun, Virginia, and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3: 77–101. [ Google Scholar ] [ CrossRef ]
• Braun, Virginia, and Victoria Clarke. 2022. Toward good practice in thematic analysis: Avoiding common problems and be (com) ing a knowing researcher. International Journal of Transgender Health 24: 1–6. [ Google Scholar ] [ CrossRef ]
• Brydon-Miller, Mary, Michael Kral, and Alfredo Ortiz Aragón. 2020. Participatory Action Research: International Perspectives and Practices. International Review of Qualitative Research 13: 103–11. [ Google Scholar ] [ CrossRef ]
• Bryman, Alan. 2004. Social Research Methods , 2nd ed. New York: Oxford University Press, p. 592. [ Google Scholar ]
• Cahill, Caitlin. 2007a. Doing research with young people: Participatory research and the rituals of collective work. Children’s Geographies 5: 297–312. [ Google Scholar ] [ CrossRef ]
• Cahill, Caitlin. 2007b. The personal is political: Developing new subjectivities through Participatory Action Research. Gender, Place & Culture 14: 267–92. [ Google Scholar ] [ CrossRef ]
• Camino, Linda. 2005. Pitfalls and promising practices of youth–adult partnerships: An evaluator’s reflections. Journal of Community Psychology 33: 75–85. [ Google Scholar ] [ CrossRef ]
• Chabot, Cathy, Jean A. Shoveller, Grace Spencer, and Joy L. Johnson. 2012. Ethical and Epistemological Insights: A Case Study of Participatory Action Research with Young People. Journal of Empirical Research on Human Research Ethics 7: 20–33. [ Google Scholar ] [ CrossRef ]
• Colebrook, Claire. 2002. Understanding Deleuze . Crows Nest: Allen & Unwin. [ Google Scholar ]
• Cooke, Bill, and Uma Kothari, eds. 2001. Participation: The New Tyranny? London: Zed Books. [ Google Scholar ]
• Cuadrado-Gordillo, Isabel. 2012. Repetition, power imbalance, and intentionality: Do these criteria conform to teenagers’ perception of bullying? A role-based analysis. Journal of Interpersonal Violence 27: 1889–910. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Dadswell, Anna, and Niamh O’Brien. 2021. Working with Adolescents to Understand Bullying and Self-Exclusion from School. International Journal of Developmental Sciences 14: 63–72. [ Google Scholar ] [ CrossRef ]
• Deleuze, Gilles, and Felix Guattari. 1987. A Thousand Plateaus . Mineapolis and London: University of Minnesota Press. [ Google Scholar ]
• Ditch the Label. 2020. The Annual Bullying Survey 2020. Available online: https://www.ditchthelabel.org/research-papers/the-annual-bullying-survey-2020/ (accessed on 16 February 2023).
• Eriksen, Tine L. M., Helena S. Nielsen, and Marianne Simonsen. 2018. Bullying in Elementary School. The Journal of Human Resources 49: 839–71. [ Google Scholar ] [ CrossRef ]
• European Institute for Gender Equality. 2021. What Is Sexism? Available online: https://eige.europa.eu/publications/sexism-at-work-handbook/part-1-understand/what-sexism (accessed on 30 January 2022).
• Evans, Caroline B., and Paul R. Smokowski. 2016. Theoretical explanations for bullying in school: How ecological processes propagate perpetration and victimization. Child and Adolescent Social Work Journal 33: 365–75. [ Google Scholar ] [ CrossRef ]
• Fenwick, Tara. 2012. Complexity science and professional learning for collaboration: A critical reconsideration of possibilities and limitations. Journal of Education and Work 25: 141–62. [ Google Scholar ] [ CrossRef ]
• Hamada, Shoko, Hitoshi Kaneko, Masayoshi Ogura, Aya Yamawaki, Junko Maezono, Lauri Sillanmäki, and Shuji Honjo. 2018. Association between bullying behavior, perceived school safety, and self-cutting: A Japanese population-based school survey. Child and Adolescent Mental Health 23: 141–47. [ Google Scholar ] [ CrossRef ]
• Hart Barnett, Juliet E., Kim W. Fisher, Natasha O’Connell, and Kimberlee Franco. 2019. Promoting upstander behavior to address bullying in schools. Middle School Journal 50: 6–11. [ Google Scholar ] [ CrossRef ]
• Hellström, Lisa, and Adrian Lundberg. 2020. Understanding bullying from young people’s perspectives: An exploratory study. Educational Research 62: 414–33. [ Google Scholar ] [ CrossRef ]
• Herr, Kathryn, and Gary L. Anderson. 2005. The Action Research Dissertation: A Guide for Students and Faculty . Thousand Oaks: Sage Publications, Inc. [ Google Scholar ]
• Hinton, Christina, and Kurt W. Fischer. 2008. Research schools: Grounding research in educational practice. Mind, Brain, and Education 2: 157–60. [ Google Scholar ] [ CrossRef ]
• Horgan, Deirdre. 2017. Child Participatory research methods: Attempts to go ‘deeper’. Childhood 24: 245–59. [ Google Scholar ] [ CrossRef ]
• Horton, Paul. 2011. School Bullying and Social and Moral Orders. Children & Society 25: 268–77. [ Google Scholar ] [ CrossRef ]
• Jeffrey, Jenny, and Jaimee Stuart. 2020. Do research definitions of bullying capture the experiences and understandings of young people? A qualitative investigation into the characteristics of bullying behaviour. International Journal of Bullying Prevention 2: 180–89. [ Google Scholar ] [ CrossRef ]
• Kellett, Mary. 2010. Small Shoes, Big Steps! Empowering Children as Active Researchers. American Journal of Community Psychology 46: 195–203. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Koch, Tina, and Debbie Kralik. 2009. Participatory Action Research in Health Care . Hoboken: John Wiley & Sons. [ Google Scholar ]
• Lewin, Kurt. 1946. Action Research and Minority Problems. Journal of Social Issues 2: 34–46. [ Google Scholar ] [ CrossRef ]
• Linstead, Stephen, and Torkild Tharem. 2007. Multiplicity, Virtuality & Organization: The Contribution of Gilles Deleuze. Organizational Studies 28: 1483–501. [ Google Scholar ]
• Livingstone, Anne M., Jacqueline Celemencki, and Melissa Calixte. 2014. Youth participatory action research and school improvement: The missing voices of black youth in Montreal. Canadian Journal of Education 37: 283–307. [ Google Scholar ]
• Lundy, Laura. 2018. In defence of tokenism? Implementing children’s right to participate in collective decision-making. Childhood 25: 340–54. [ Google Scholar ] [ CrossRef ]
• Lushey, Clare J., and Emily R. Munro. 2015. Participatory peer research methodology: An effective method for obtaining young people’s perspectives on transitions from care to adulthood? Qualitative Social Work 14: 522–37. [ Google Scholar ] [ CrossRef ]
• Manchester, Helen, and Emma Pett. 2015. Teenage Kicks: Exploring cultural value from a youth perspective. Cultural Trends 24: 223–31. [ Google Scholar ] [ CrossRef ]
• Mason, Jennifer. 2002. Qualitative Researching , 2nd ed. London: Sage Publications. [ Google Scholar ]
• Mayall, Berry. 2000. The Sociology of Childhood in Relation to Children’s Rights. The International Journal of Children’s Rights 8: 243–59. [ Google Scholar ] [ CrossRef ]
• McNiff, Jean, and Jack Whitehead. 2011. All You Need to Know about Action Research , 2nd ed. London: SAGE Publications. [ Google Scholar ]
• Meinck, Sabine, Julian Fraillon, and Rolf Strietholt. 2022. The Impact of the COVID-19 Pandemic on Education: International Evidence from the Responses to Educational Disruption Survey (REDS) . Paris: UNESCO. [ Google Scholar ]
• Merves, Marni L., Caryn R. Rodgers, Ellen J. Silver, Jamie H. Sclafane, and Laurie J. Bauman. 2015. Engaging and sustaining adolescents in Community-Based Participatory Research: Structuring a youth-friendly CBPR environment. Family & Community Health 38: 22. [ Google Scholar ]
• Migliaccio, Todd, and Juliana Raskauskas. 2016. Bullying as a Social Experience: Social Factors, Prevention and Intervention . New York: Routledge. [ Google Scholar ]
• Mitra, Dana L. 2009. Collaborating with students: Building youth-adult partnerships in schools. American Journal of Education 115: 407–36. [ Google Scholar ] [ CrossRef ]
• Mohan, Greta, Selina McCoy, Eamonn Carroll, Georgiana Mihut, Seán Lyons, and Ciarán Mac Domhnaill. 2020. Learning for All? Second-Level Education in Ireland During COVID-19 . Survey and Statistical Report Series (ESRI) Number 92. Dublin: ESRI. [ Google Scholar ]
• Nyman, Anneli, Stina Rutberg, Margareta Lilja, and Gunilla Isaksson. 2022. The Process of using Participatory Action research when trying out an ICT solution in home based rehabilitation. International Journal of Qualitative Methods 21: 16094069221084791. [ Google Scholar ] [ CrossRef ]
• O’Brien, Niamh. 2016. To ‘Snitch’ or Not to ‘Snitch’? Using PAR to Explore Bullying in a Private Day and Boarding School. Unpublished Ph.D. thesis, Anglia Ruskin University, Chelmsford, UK. Available online: http://arro.anglia.ac.uk/700970/ (accessed on 2 February 2023).
• O’Brien, Niamh. 2021. School Factors with a Focus on Boarding Schools. In The Wiley Blackwell Handbook of Bullying: A Comprehensive and International Review of Research and Intervention . Edited by P. K. Smith and J. O’Higgins Norman. Chichester: Wiley Blackwell. [ Google Scholar ] [ CrossRef ]
• O’Brien, Niamh, and Audrey Doyle. 2023. Exploring School Bullying: Designing the Research Question with Young co-Researchers. Paper presented at the 7th World Conference on Qualitative Research, Faro, Portugal, January 25–27. [ Google Scholar ]
• O’Brien, Niamh, and Tina Moules. 2007. So round the spiral again: A reflective particpatory research project with children and young people. Educational Action Research 15: 385–402. [ Google Scholar ] [ CrossRef ]
• O’Brien, Niamh, and Tina Moules. 2012. Not sticks and stones but tweets and texts: Findings from a national cyberbullying project. Pastoral Care: An International Journal of Personal, Social and Emotional Development 31: 53–65. [ Google Scholar ] [ CrossRef ]
• O’Brien, Niamh, Carol Munn-Giddings, and Tina Moules. 2018. The Ethics of Involving Young People Directly in the Research Process. Childhood Remixed , 115–28. Available online: https://www.uos.ac.uk/sites/default/files/Childhood%20Remixed_Journal_2018%20updated.pdf (accessed on 16 February 2023).
• O’Higgins Norman, J., Christian Berger, Christophe Cornu, Donna Cross, Magnus Loftsson, Dorte Marie Sondergaard, Elizabethe Payne, and Shoko Yoneyama. 2021. Presenting a Proposed Revised Definition of School Bullying . Stockholm: World Anti-Bullying Forum & UNESCO. Paris: Ministère de l’éducation Nationale, de la Jeunesse et des Sports. [ Google Scholar ]
• Olweus, Dan. 2013. School Bullying: Development and Some Important Challenges. Annual Review of Clinical Psychology 9: 752–80. [ Google Scholar ] [ CrossRef ]
• Ozer, Emily J., and Laura Douglas. 2015. Assessing the key processes of youth-led participatory research: Psychometric analysis and application of an observational rating scale. Youth & Society 47: 29–50. [ Google Scholar ]
• Patten, Mildred. 2016. Questionnaire Research: A Practical Guide . London: Routledge. [ Google Scholar ]
• Percy-Smith, Barry. 2012. Exploring the role of children and young people as agents of change in sustainable community development. The International Journal of Justice and Sustainability 18: 323–39. [ Google Scholar ] [ CrossRef ]
• Resnick, Lauren B. 2010. Nested Learning Systems for the Thinking Curriculum. Educational Researcher 39: 183–97. [ Google Scholar ] [ CrossRef ]
• Reynaert, Didier, Maria Bouverne-de-Bie, and Stijn Vandevelde. 2009. A Review of Children’s Rights Literature Since the Adopton of the United Nations Convention on the Rights of the Child. Childhood 16: 518. [ Google Scholar ] [ CrossRef ]
• Schwartz, Amy Ellen, Leanna Stiefel, and Michah W. Rothbart. 2016. Do top dogs rule in middle school? Evidence on bullying, safety, and belonging. American Educational Research Journal 53: 1450–84. [ Google Scholar ] [ CrossRef ]
• Scott, William R. 2008. Approaching adulthood: The maturing of institutional theory. Theory and Society 37: 427–42. [ Google Scholar ] [ CrossRef ]
• Shamrova, Daria P., and Cristy E. Cummings. 2017. Participatory action research (PAR) with children and youth: An integrative review of methodology and PAR outcomes for participants, organizations, and communities. Children and Youth Services Review 81: 400–12. [ Google Scholar ] [ CrossRef ]
• Skelton, Tracey. 2008. Research with children and young people: Exploring the tensions between ethics, competence and participation. Children’s Geographies 6: 21–36. [ Google Scholar ] [ CrossRef ]
• Slattery, Lindsey. 2019. Defining the word bullying: Inconsistencies and lack of clarity among current definitions. Preventing School Failure: Alternative Education for Children and Youth 63: 227–35. [ Google Scholar ] [ CrossRef ]
• Slonje, Robert, and Peter K. Smith. 2008. Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology 49: 147–54. [ Google Scholar ] [ CrossRef ]
• Spyrou, Spyros. 2011. The limits of children’s voices: From authenticity to critical, reflexive representation. Childhood 18: 151–65. [ Google Scholar ] [ CrossRef ]
• Stoudt, Brett G., Peter Kuriloff, Michael C. Reichert, and Sharon M. Ravitch. 2010. Educating for Hegeony, Researching for Change: Collaborating with Teachers and Students to Examine Bullying at an Elite Private School. In Class Privilege & Education Advantage . Edited by Adam Howard and Ruben A. Gaztambide-Fernandez. Lanham: Rowman & Littlefield, pp. 31–53. [ Google Scholar ]
• Thornberg, Robert, and Hanna Delby. 2019. How do secondary school students explain bullying? Educational Research 61: 142–60. [ Google Scholar ] [ CrossRef ]
• Tofteng, Ditte, and Mette Bladt. 2020. ‘Upturned participation’ and youth work: Using a Critical Utopian Action Research approach to foster engagement. Educational Action Research 28: 112–27. [ Google Scholar ] [ CrossRef ]
• Vaillancourt, Tracy, Patricia McDougall, Shelley Hymel, Amanda Krygsman, Jessie Miller, Kelley Stiver, and Clinton Davis. 2008. Bullying: Are researchers and children/youth talking about the same thing? International Journal of Behavioral Development 32: 502–11. [ Google Scholar ] [ CrossRef ]
• Vaughn, Lisa M., and Farrah Jacquez. 2020. Participatory Research Methods: Choice Points in the Research Process. Journal of Participatory Research Methods 1. [ Google Scholar ] [ CrossRef ]
• Webb, Christine. 1989. Action Research: Philosophy, methods and personal experiences. Journal of Advanced Nursing 14: 403–10. [ Google Scholar ] [ CrossRef ]
• Wikipedia. 2022. Misogyny . Available online: https://en.wikipedia.org/wiki/Misogyny (accessed on 30 January 2023).
• Wójcik, Małgorzata, and Krzysztof Rzeńca. 2021. Disclosing or hiding bullying victimization: A grounded theory study from former victims’ point of view. School Mental Health 13: 808–18. [ Google Scholar ] [ CrossRef ]
• Younan, Ben. 2019. A systematic review of bullying definitions: How definition and format affect study outcome. Journal of Aggression, Conflict and Peace Research 11: 109–15. [ Google Scholar ] [ CrossRef ]

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O’Brien, N.; Doyle, A. Exploring School Bullying: Designing the Research Question with Young Co-Researchers. Soc. Sci. 2023 , 12 , 276. https://doi.org/10.3390/socsci12050276

O’Brien N, Doyle A. Exploring School Bullying: Designing the Research Question with Young Co-Researchers. Social Sciences . 2023; 12(5):276. https://doi.org/10.3390/socsci12050276

O’Brien, Niamh, and Audrey Doyle. 2023. "Exploring School Bullying: Designing the Research Question with Young Co-Researchers" Social Sciences 12, no. 5: 276. https://doi.org/10.3390/socsci12050276

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Bullying Research Paper

This sample bullying research paper features: 4600 words (approx. 15 pages), an outline, and a bibliography with 28 sources. Browse other research paper examples for more inspiration. If you need a thorough research paper written according to all the academic standards, you can always turn to our experienced writers for help. This is how your paper can get an A! Feel free to contact our writing service for professional assistance. We offer high-quality assignments for reasonable rates.

Introduction

Bullying defined.

• National Variation
• The Importance of Age

Stability of Bullying Roles

• Gender Differences

The Bully-Victim

The peer group, parenting and home environment, sibling relationships, school factors, internalizing problems, academic performance, delinquency and criminality, impact beyond victims.

• Interventions

Future Directions and Conclusion

• Bibliography

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• Bullying Prevention Research Paper
• Bullying and Crime Research Paper
• Bullying in School Research Paper

Bullying has received worldwide attention in the last 30 years as a form of aggressive behavior that can have a significant negative impact on the physical, emotional, and academic development of victims. The first major contribution to the academic study of bullying was made by Dan Olweus, who wrote the first scholarly book in English to deal with bullying. The book was written in response to the suicide of three bullied boys in Norway and reported a high prevalence of school bullying (20 % of Norwegian children reported having some involvement) as well as discussed the success of the world’s first bullying prevention program (Olweus 1993). Olweus’ work opened the way for an explosion of research on bullying, which expanded from an initial interest in schools to include broader contexts such as the workplace, prisons, and sibling relationships. While much of this work is of interest, showing that bullying has the potential to affect a significant proportion of the population, this review focuses on school bullying, as this is the area that has attracted the most research interest to date.

The international literature is repleted with definitions of school bullying, most of which seem to accept that bullying is any type of negative action intended to cause distress or harm that is repeated and targeted against individuals who cannot defend themselves. When research on bullying started in the 1980s, bullying was perceived to comprise only episodes of physical or verbal aggression where the victim was physically attacked or called names. In recent years, the definition of bullying has broadened to include other forms of aggression that are relational in nature and aim to damage the victim’s peer relationships and their social status such as spreading of malicious gossip and social exclusion. Fighting between people of approximately equal strength, a one-time attack, or a good-natured teasing and play fighting are not counted as bullying.

The advent and widespread use of electronic means of communication such as mobile phones and the Internet has made it easier to bully anonymously, through the use of pseudonyms and temporary accounts, at any time and in any place involving a wide audience. This development has meant that the definition of bullying has had to be expanded to account for what the literature refers to as “cyber-bullying” or “electronic bullying.” A nationally representative survey of 7,508 adolescents in the United States in 2005 found that 8.3 % had bullied others and 9.8 % had been bullied electronically at least once in the last 2 months (Wang et al. 2009). In the same year in England and Wales, a survey of pupils aged 11–16 found that 22 % had been cyber-bullied at least once or twice in the last couple months (Smith et al. 2008). The most common form of cyber-bullying internationally is sending threatening and/or nasty text messages.

Bullying Prevalence and Continuity

National variation in bullying.

There are large variations across countries in the prevalence of bullying perpetration and victimization. In an international survey of health-related symptoms among school-aged children, the percentage of students who reported being frequently bullied during the current term ranged from a low of 5 % to 10 % in some countries to a high of 40 % in others (Due et al. 2005). The prevalence of bullies in primary school ranges, in most countries, between 7 % and 12 % and remains at those levels in secondary school (around 10 %). It is unclear whether these differences in prevalence reflect genuinely different levels of engagement in bullying among countries or, at least partly, result from different meanings of the term “bullying” in different countries and differences in methodologies and samples used.

An example of why valid comparisons between countries are not possible is Portugal where the bullying rate is high compared to other countries. Berger (2007) in her analysis found that one detail of educational policy in Portugal may account, among other things, for this higher rate of bullying. In Portuguese schools, children are asked to repeat sixth grade unless they pass a rigorous test. This practice results in at least 10 % of all sixth graders (more often boys) to be held back 2 years or more, and these older, bigger children are almost twice as likely to bully compared to the class average. This suggests that the difference in prevalence rates between countries may be, at least partly, accounted for by external factors including national differences in school policies and environments but also differences in the methodologies used (self-reports vs. peer and/or teacher reports), students’ differing levels of cognitive ability, cultural differences in reporting, and different meanings of the term “bullying” in different countries.

The Importance of Age in Bullying

Despite variations in prevalence, it is a universal finding that bullying victimization is more frequent among younger children and steadily declines with age. A range of explanations have been put forward to explain these age differences (Smith et al. 1999a, b). Compared to older children, younger children are less likely to have developed the appropriate skills and coping strategies to deal effectively with bullies and avert further victimization. Younger children are also less likely to refrain from bullying others due to socialization pressure. Finally, there is evidence that younger students adopt a more inclusive definition of bullying when responding to prevalence surveys, and this may, at least partly, account for the higher reported frequency of bullying victimization in primary school. For example, younger pupils might find it more difficult to distinguish between bullying and fighting, broadening the use of the term bullying to include aggressive behaviors that involve no imbalance of power. Within the general trend of decreasing bullying victimization over time, researchers have observed an abrupt increase in bullying during the transition from primary to secondary school which may reflect some students’ attempts to establish dominance hierarchies in the new school environment. Relational forms of bullying take precedence over physical modes of attack as children grow older and their social skills improve.

There is some controversy in the literature as to the stability of bullying victimization in primary school. Some studies have reported that bullying victimization is relatively stable over a period of up to 4 years in primary school and often continues in secondary school. Other studies have found that only a relatively small proportion of children (around 4–5 %) are victimized repeatedly over time in primary school.

In secondary school, the stability of both bully and victim roles is considerably higher than in primary school according to teacher, peer, and self-reports. It is estimated that two out of three male bullies remain in their role over a 1-year period. Despite the moderate to high stability of the victim and bully roles in secondary school, prevalence rates are lower than in primary school. This suggests that a small number of victims are targeted consistently and systematically in secondary school.

Stability in bullying victimization has been explained in two ways. Firstly, it has been observed that victims select social environments that reinforce the risk of victimization, for example, they are more likely to have friends who are less accepted by the peer group and often victimized themselves. Secondly, victims often lack the social skills to break through in new environments, and this increases the risk that they are labeled as victims and locked in that role over a long period of time. It is important, therefore, to acknowledge that although for some children bullying victimization will be situational, for others it will develop into a trait.

Gender Differences in Bullying

The view that males are more likely to bully and be bullied than females has been dismissed in recent years following a better understanding about the different forms aggressive behavior such as bullying can take. Although males are more likely to engage in physical forms of bullying such as pushing and hitting, females are, according to some studies, more adept at employing relational forms of aggression (e.g., social exclusion, spreading of nasty rumors) against their victims especially during adolescence. No consistent gender differences have been identified in the use of verbal bullying (e.g., calling names, nasty teasing). This suggests that overall gender differences are not as pronounced as originally thought and that bullying is not a male problem.

Characteristics of Children and Adolescents Involved in Bullying

There is some controversy in the literature about the profile of bullies. Initially, studies described children who bullied others as insecure, anxious individuals who have low self-esteem, are unpopular among their classmates, and use aggressive strategies to resolve conflicts. This stereotype was later disputed by research that suggested bullies are socially competent and have superior theory of mind skills (i.e., awareness of others’ mental functions and states) and good levels of social intelligence, knowing how to attain goals without damaging their reputation. Linked to this, there is also debate concerning whether bullies lack empathic skills. Some research suggests that bullies understand the emotions of others but do not share them. The inconsistencies across studies may be, at least partly, due to different definitions of bully status and different methodologies employed. Studies which have distinguished between “pure” bullies and bully/victims have revealed that “pure” bullies have few conduct problems, perform well at school, are popular among their classmates, and do not suffer from physical and psychosomatic health problems.

There is more consensus on the profile of “pure” victims. Research has identified that “pure” victims exhibit elevated levels of depression and anxiety, low self-esteem, and poor social skills. Hawker and Boulton’s (2000) meta-analysis found that peer victimization is more strongly concurrently associated with depression than with anxiety, loneliness, or self-esteem. Another meta-analysis by Card (2003) found that the strongest correlates of the victimization experience are low self-concept, low physical strength, low school enjoyment, poor social skills, and high internalizing and externalizing problems. It was unclear from these reviews of cross-sectional studies, however, whether internalizing problems lead to victimization or vice versa.

The recent body of longitudinal research on bullying and peer victimization more widely suggests that the relationship between internalizing problems such as depression, anxiety and loneliness, and victimization is more likely to be reciprocal, that is, internalizing problems contribute to victimization and vice versa. A metaanalysis of 18 longitudinal studies examining associations between peer victimization and internalizing problems in children and adolescents concluded that internalizing problems both precede and follow peer victimization experiences (Reijntjes et al. 2011). It is worth noting, however, that the path from psychological maladjustment to victimization has not been replicated in all studies. For instance, Bond et al. (2001) found no support for the hypothesis that emotional maladjustment invites victimization.

Recent work suggests that bullying might arise out of early cognitive deficits, including language problems, imperfect causal understanding, and poor inhibitory control that lead to decreased competence with peers, which over time develops into bullying. Research does not support the assertion that physical appearance (e.g., wearing glasses) is a risk factor for being bullied at school. The only physical characteristic that has been associated with an increased risk of victimization is low physical size and strength. There is less evidence on how equality characteristics influence victimization. There is no consistently robust evidence to suggest that ethnic minority children are more at risk of being bullied at school. Sexual orientation has rarely been investigated in longitudinal studies as a possible risk factor of bullying victimization, but there is some, mainly qualitative, evidence of sexual minorities being targeted in secondary schools. There is stronger evidence that children with disabilities are particularly vulnerable to victimization in mainstream settings, although it might be other characteristics of disabled children that make them more vulnerable to victimization such as lack of friends rather than the disability per se.

Olweus (1993) was the first researcher to identify a small proportion of victims of bullying that he called “provocative victims” or “bully-victims,” who bully other children as well as being bullied by them. Research has identified that bully-victims are the most troubled group among children and adolescents involved in bullying incidents. This group displays the highest levels of internalizing problems, including depression, anxiety, low selfesteem, and loneliness. At the same time, they score high on externalizing problems such as aggression, impulsivity, hyperactivity, and conduct problems. Other research has shown that bully-victims display higher levels of neuroticism and psychoticism than either bullies or victims. Bully-victims use aggressive strategies to cope with stressors at school that increase the risk of further victimization and rejection from peers.

Besides the traditional roles of bully, victim, and bully-victim, research has identified that all students take on a role when bullying episodes emerge. Salmivalli et al. (1996) distinguished between six different roles children can take in bullying situations: the bully (leader), the reinforcer (encourages and provides audience), the assistant (follower/helper, e.g., holds the child down), the defender (helps the victim and/or tells bullies to stop), the outsider (stays away from bullying situations), and the victim. Subsequent research established that the three roles of bully, reinforcer, and assistant are closely correlated with each other and, therefore, cannot usefully discriminate between children. In kindergarten, the three most commonly held roles are those of the bully, the victim, and the defender. Fewer students are defenders by middle school, and the majority becomes witnesses or bystanders when bullying takes place. Such passive behavior, although not directly encouraging of bullying, provides a permissive context for bullies that allows them to continue harassing their victims.

Environmental Influences on Bullying

There is clear evidence that parenting styles are related to bullying behavior. Studies indicate that bullies are more likely to have parents who are authoritarian and punitive, disagree more often, and are less supportive. The parents of bullies are more likely to have been bullies themselves when they were young. Victims, on the other hand, are more likely to have been reared in an overprotective family environment. Bully-victims tend to come from family backgrounds that are exposed to abuse and violence and favor the use of harsh, punitive, and restrictive discipline practices. This group reports little positive warmth in their families and more difficulties in communicating with parents.

Family characteristics are related to bullying victimization in different ways for boys and girls. Boys are more prone to victimization when the father is highly critical or absent in his relationship with his son, thus failing to provide a satisfactory role model. Victimization in boys is also associated with maternal overprotectiveness which may hinder boys’ search for autonomy and independence, whereas victimization in girls is more strongly related to maternal hostility which may lead to anxiety and decreased sense of connectedness in relationships.

Very little research has examined longitudinal associations between early home environment and subsequent bullying behavior. The few studies that exist suggest a link between low emotional support and subsequent bullying behavior at school. Parents who are disagreeable, hostile, cold, or rejecting tend to have children who are at risk of becoming aggressive in the future. In a small longitudinal study, Schwartz et al. (1997) found that bully-victims at 10 years were significantly more likely than the other groups to have had experiences with harsh, disorganized, and potentially abusive home environments 5 years earlier. Mother-child interactions at 5 years were characterized by hostile, restrictive, or overly punitive parenting. They were significantly exposed to higher levels of marital conflicts and more likely to come from marginally lower socioeconomic backgrounds. Bullies were found to be exposed to adult aggression and conflicts, but not victimization by adults, and were from lower socioeconomic backgrounds. These findings need to be replicated in larger samples before any safe conclusions can be drawn.

More recently, there has been interest in how sibling relationships affect the development of bullying behavior. There is international evidence that children who are victimized at school are more likely, compared to other groups, to be victimized by their siblings at home. Wolke and Samara (2004) found that more than half of victims of bullying by siblings (50.7 %) were also involved in bullying behavior at school compared to only 12.4 % of those not victimized by siblings, indicating a strong link between intrafamilial and extrafamilial peer relationships. Those who were both victimized at home and at school had the highest behavior problems and were the least prosocial. Similar evidence exists in relation to bullying perpetration, suggesting that those who bully at school tend to exhibit similar behaviors towards their siblings at home.

A number of school factors have also been implicated as correlates of bullying behavior. One of the most consistent findings in the international literature is that the number and quality of friends at school is one of the strongest, if not the strongest, protective factor against bullying victimization. Having friends is not sufficient in itself to protect against victimization. For instance, when at-risk children have friends with internalizing problems, who are physically weak or who themselves are victimized, the relation of children’s behavioral risk to victimization is exacerbated.

More recent work on the role of class structure and climate on bullying has shown that variations in peer structure and dominance hierarchies influence the stability of bullying victimization. For example, victims in primary school classes with a more pronounced hierarchical structure are less likely to escape their victim role compared to those in classes with less clearly marked hierarchies (Sch€afer et al. 2005).

Consequences of Bullying

There has been a growing interest in recent years to investigate the long-term effects of bullying involvement on children’s and adolescents’ social, emotional, behavioral, and academic development using longitudinal samples. The results of these studies suggest that victims and bully-victims manifest more adjustment problems than bullies. Victims and, especially, bully-victims are more likely to show elevated levels of depression, anxiety, and loneliness; perform less well academically; and display conduct problems. The only negative long-term outcome that has consistently been reported in the literature for bullies is their involvement in later offending. There is also some initial evidence that bullying perpetration is a significant risk factor of poor academic performance.

Several cross-sectional studies have demonstrated negative associations between peer victimization and a range of internalizing problems, including loneliness and low self-esteem. A meta-analysis of 23 cross-sectional studies of the association between peer victimization and psychological maladjustment found that peer victimization was more strongly concurrently associated with depression than with anxiety, loneliness, or self-esteem (Hawker and Boulton 2000).

Over the last decade, research on bullying is increasingly reliant on longitudinal methodologies to disentangle whether victimization contributes to internalizing problems or vice versa. It has been argued, for example, that children who display internalizing behaviors (e.g., anxiety or shyness) are more at risk of being targeted by peers due to their inability to cope effectively with provocation. The majority of longitudinal studies investigating associations between peer victimization and psychological maladjustment have found evidence for both directions.

There is some longitudinal evidence that bullying involvement has a negative impact on academic performance, although more studies are needed to reach a definitive conclusion. A US longitudinal study that began in 2002 with a sample of about 1,700 adolescents found that being a bully had a stronger negative effect on self-perceived academic competence over time than being a victim after controlling for demographic background variables and baseline academic competence (Ma et al. 2009). Furthermore, only bully status predicted lower self-reported grades.

Despite showing fewer adjustment problems than victims and bully-victims, bullies are at an increased risk of later delinquency and criminal offending. A recent meta-analysis of studies measuring school bullying and later offending found that school bullies were 2.5 times more likely than noninvolved students to engage in offending over an 11-year follow-up period (Ttofi et al. 2011). The risk was lower when major childhood risk factors were controlled for, but remained statistically significant. The effect of bullying on later offending was especially pronounced when bullying was assessed in older children. The longitudinal association between bullying perpetration and later offending has been replicated in many countries, including Australia, Canada, and Europe.

Finally, there is evidence that bullying and victimization have a negative impact not only on the individual children involved but also on bystanders. Children who witness bullying incidents report increased anxiety, less satisfaction with school, and lower academic achievement. There is also evidence that in school classes where a lot of victimization is taking place, school satisfaction among students is low.

Bullying Interventions

Following the development of the first anti-bullying program by Dan Olweus in Norway in the 1980s, a considerable number of anti-bullying interventions have flourished around the world to reduce bullying behaviors and protect victims. These fall under four broad categories: curriculum interventions generally designed to promote an anti-bullying attitude within the classroom; whole-school programs that intervene on the school, class, and individual level and address bullying as a systemic problem; social and behavioral skills training; and peer support programs including befriending and peer mediation. A systematic review conducted in 2004 evaluated the strength of scientific evidence in support of anti-bullying programs (Vreeman and Carroll 2007). The review concluded that only a small number of anti-bullying programs have been evaluated rigorously enough to permit strong conclusions about their effectiveness.

Whole-school interventions were found to be more effective in reducing victimization and bullying than interventions that focused only on curriculum changes or social and behavioral skills training. Targeting the whole school involves actions to improve the supervision of the playground, having regular meetings between parents and teachers, setting clear guidelines for dealing with bullying, and using role-playing and other techniques to teach students about bullying. The success of whole-school interventions, relative to other stand-alone approaches, supports the view that bullying is a systemic, sociocultural phenomenon derived from factors operating at the individual, class, school, family, and community level. Hence, interventions that target only one level are unlikely to have a significant impact.

A more recent systematic review of school-based anti-bullying programs found that, overall, these programs are effective in reducing bullying perpetration and victimization by an average of 20–23 % and 17–20 %, respectively (Farrington and Ttofi 2009). The interventions that were found to be most effective were those that incorporated parent training/meetings, disciplinary methods, and videos; targeted older children; and were delivered intensively and for longer. There is less robust evidence on the effectiveness of peer support programs that include activities such as befriending, peer counseling, conflict resolution, or mediation, and a systematic review suggested their use may lead to increases in bullying victimization.

More recently, there has been a growing interest in the use of virtual learning environments to reduce bullying at schools. The basic feature of these programs is a computer-based environment that creates a highly believable learning experience for children who find themselves “present” in the situation that causes emotional distress and, as a result, learn experientially how to deal with school problems. An example of such a program is “FearNot,” an intervention that was developed to help victims of bullying explore the success or otherwise of different coping strategies to dealing with bullying victimization through interactions with “virtual” victims of school bullying. The evaluation of this intervention found that the victims that received the intervention were more likely to escape victimization in the short term than victims in control schools who did not interact with the software (Sapouna et al. 2010). These results suggest that the use of virtual environments might be an engaging and useful component of whole-school anti-bullying policies that merits further testing. A key finding that emerged from this research is that interventions are more likely to be successful if they have the support of teachers and other school personnel and there is a strong commitment to reduce bullying in the school community. This is considered to be one of the reasons behind the huge success of the Olweus’ prevention program that has not been replicated to date.

Although an abundance of knowledge has emerged in recent years regarding the correlates of bullying behavior, there is still relatively little known about the causal processes and mechanisms associated with the bully and victim status. Longitudinal studies, which track bullies and victims over time, offer one of the best chances of disentangling the antecedents of bullying perpetration and victimization from its consequences, and these should form a key part of future research in this field. Another approach which shows much promise is the cutting-edge attempt to unravel the causes of bullying behavior made by researchers investigating biological and environmental influences and the way these influences interact.

One of these studies, involving 1,116 families with 10-year-old twins, found that the tendency for children to be bullied was largely explained by genetics (73 % of variance) and less so by environmental factors that were unique to each child (Ball et al. 2008). Another study of 506 six-year-old twins found that variance in victimization was accounted for only by shared and non-shared environmental influences (29 % and 71 %, respectively) and was not related to the child’s genetic predisposition (Brendgen et al. 2008). These discrepancies might be explained by differences in methodologies used, as studies drew on different informants to assess bullying victimization (mothers and peers, respectively). Although results to date have been contradictory, future breakthroughs in this area have the potential to transform radically the study of bullying.

To understand more fully how bullying behaviors develop, future research will also need to investigate in more depth how individual and classroom level factors interact to cause involvement in bullying. It is not currently understood whether the relationship between risk factors and bullying is the same across different school and class environments or the extent to which consequences of bullying and victimization are dependent on class-and school-level factors.

Finally, another area that would benefit from more attention is the investigation of resilience to bullying. Some initial evidence suggests that maternal warmth has an environmental effect in protecting children from negative outcomes associated with victimization (Bowes et al. 2010). However, we still know relatively little about the factors that promote resilience to bullying and victimization among at-risk children, and also what role bullying has to play in increasing resilience. We also know little about the factors that help victims cope better with the effects of victimization.

To conclude, what the recent flurry of research activity has highlighted is how complex the bullying phenomenon is and that, although much has been learned to date, there is clearly a great need to understand how variables describing the family, school, class, and community environment interact with individual characteristics to determine who gets bullied and who bullies others. Research should neither be blind to nor discouraged by these complexities.

Bibliography:

• Ball HA, Arseneault L, Taylor A, Maughan B, Caspi A, Moffitt TE (2008) Genetic and environmental influences on victims, bullies and bully-victims in childhood. J Child Psychol Psychiatry 49(1):104–112
• Berger Stassen K (2007) Update on bullying at school: science forgotten? Dev Rev 21:90–126
• Bond L, Carlin J, Thomas L, Rubin K, Patton G (2001) Does bullying cause emotional problems? A prospective study of young teenagers. Br Med J 323:480–484
• Bowes L, Maughan B, Caspi A, Moffitt TE, Arseneault L (2010) Families promote emotional and behavioral resilience to bullying: evidence of an environmental effect. J Child Psychol Psychiatry 51(7):809–817
• Brendgen M, Boivin M, Vitaro F, Girard A, Dionne G, Perusse D (2008) Dev Psychopathol 20(2):455–471
• Card N (2003) Victims of peer aggression: a meta-analytic review. Presented at the biennial meeting of the society for research on child development, Tampa, 24–27 Apr 2003
• Due P, Holstein BE, Lynch J, Diderichsen F, Gabhain SN, Scheidt P, Currie C, Health Behavior in School-Aged Children Bullying Working Group (2005) Bullying and symptoms among school-aged children: international comparative cross-sectional study in 28 countries. Eur J Pub Health 15:128–132
• Espelage DL, Swearer SM (2003) Bullying in American schools: a social-ecological perspective on prevention and intervention. Lawrence Erlbaum, Mahwah
• Farrington DP, Ttofi MM (2009) School-based programs to reduce bullying and victimization. Campbell Syst Rev 2009:6
• Hawker D, Boulton M (2000) Twenty years’ research on peer victimization and psychosocial maladjustment: a meta-analytic review of cross-sectional studies. J Child Psychol Psy 41:441–455
• Juvonen J, Graham S (2001) Peer harassment in school: the plight of the vulnerable and victimized. Guilford Press, New York
• Ma L, Phelps E, Lerner JV, Lerner RM (2009) The development of academic competence among adolescents who bully and who are bullied. J Appl Dev Psychol 30(5):628–644
• Olweus D (1993) Bullying at school:what we know and what we can do. Blackwell, Cambridge, MA
• Olweus D (1994) Annotation: bullying at school: basic facts and effects of a school-based intervention program. J Child Psychol Psychiatry 35:1171–1190
• Reijntjes A, Kamphuis JH, Prinzie P, Boelen PA, van der Schoot M, Telch MJ (2011) Prospective linkages between peer victimization and externalizing problems in children: a meta-analysis. Aggress Behav 37(3):215–222
• Salmivalli C, Lagerspetz K, Bjorkqvist K, Osterman K, Kaukiainen A (1996) Bullying as a group process: participant roles and their relations to social status within the group. Aggress Behav 22:1–15
• Sapouna M, Wolke D, Vannini N, Watson S, Woods S, Schneider W, Enz S, Hall L, Paiva A, Andre E, Dautenhahn K, Aylett R (2010) Virtual learning intervention to reduce bullying victimization in primary school: a controlled trial. J Child Psychol Psychiatry 51(1):104–112
• Sch€afer M, Korn S, Brodbeck FC, Wolke D, Schulz H (2005) Bullying roles in changing contexts: the stability of victim and bully roles from primary to secondary school. Int J Behav Dev 29:323–335
• Schwartz D, Dodge KA, Pettit GS, Bates JE (1997) The early socialization of aggressive victims of bullying. Child Dev 68(4):665–675
• Smith PK, Madsen K, Moody J (1999a) What causes the age decline in being bullied at school? Towards a developmental analysis of risks of being bullied. Educ Res 41:267–285
• Smith PK, Morita Y, Junger-Tas J, Olweus D, Catalano R, Slee P (eds) (1999b) The nature of school bullying: a cross-national perspective. Routledge, London
• Smith PK, Cowie H, Olafsson R, Liefooghe APD (2002) Definitions of bullying: a comparison of terms used, and age and sex differences, in a 14-country international comparison. Child Dev 73:1119–1133
• Smith PK, Pepler D, Rigby K (2004) Bullying in schools: how successful can interventions be? Cambridge University Press, New York
• Smith PK, Mahdavi J, Carvalho M, Fisher S, Russell S, Tippett N (2008) Cyberbullying: its nature and impact in secondary school pupils. J Child Psychol Psychiatry 49(4):376–385
• Ttofi MM, Farrington DP, Losel F, Loeber R (2011) The predictive efficiency of school bullying versus later offending: a systematic/meta-analytic review of longitudinal studies. Crim Beh Ment Health 21:80–89
• Vreeman RC, Carroll AE (2007) A systematic review of school-based interventions to prevent bullying. Arch Pediatr Adolesc Med 161(1):78–88
• Wang J, Ionnotti RJ, Nansel TR (2009) School bullying among adolescents in the United States: physical, verbal, relational, and cyber. J Adolesc Health 45:368–375
• Wolke D, Samara M (2004) Bullied by siblings: association with peer victimization and behavior problems in Israeli lower secondary school children. J Child Psychol Psychiatry 45(5):1015–1029

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Essay on Bullying in Schools

School bullying can be defined as the situation in which one or more students (The Bullies) single out a child (victim) and intend in behavior intended to cause discomfort or harm the child. A bully will repeatedly target the same victim several times. Under all circumstances, bullies have an advantage over the victim as they possess more power. Compared to the victim, bullies usually have physically stronger with a large circle of friends or higher social standing. Bullying can inflict emotional distress, humiliation, and physical harm. More than 95% of learning institutions experience bullying globally. Bullying must be meet a specific rationale to be considered bullying. Such requirements include repetitiveness, recurrent imbalance of power, and provocation. Bullying can occur in schools, on campus, or the outskirts of school, but its setting must have been created within the school. Regardless of the position, all the stakeholders in a school context, such as parents, educators, children, and community members, are required to contribute to the prevention of bullying in schools. School bullying is increasingly becoming a social problem in modern society. Ideally, there are several types of school bullying attached to different causes. The effects of school bullying can be classified in psychological, economical, and academic dimensions.

Types of Bullying in Schools

The common types of bullying in a school setting include verbal, sexual, cyber, psychological, physical, and higher education bullying. Notably, victims in a learning context can experience bullying regardless of age. The aforementioned types of bullying are further classified as either direct or indirect bullying. Direct bullying is defined as an attack that is openly targeted to a victim. Direct bullying is either verbal or physical. Contrary, indirect bullying involves different forms of relational aggression that leads to social isolation through defaming one’s reputation and manipulating the conscience of others into falsehood. Indirect bullying is usually hard and subtle to detect in a school setting (Goodwin et al. 330). If undertaken by a group of bullies, direct and indirect bullying can be referred to as pack bullying. The different types of bullying can be defined either directly or indirectly relative to the implication to the victim.

Physical bullying occurs when there is unwanted physical contact between the victim and the bully. Physical contact can be hand to hand or tripping and throwing items at others that can cause physical harm. The second is emotional bullying. Emotional bullying can be defined as hurting others emotionally by negatively influencing their moods and psyche. The primary examples of emotional bullying include; belittling, spreading false information, and defamation. Verbal bullying can be defined as the usage of slanderous language or statements causing emotional distress to other people. Examples of verbal bullying include harassing, mocking, teasing, and threatening to cause harm. Finally, Cyberbullying is attached to the evolution of the internet and computers. The use of computers in bullying at schoolyards is on the surge. In most instances, schools experience difficulties in controlling cyberbullying as experiences are beyond the school fraternity.

The other common types of school bullying are sexual bullying and higher education bullying. Sexual bullying is either non-physical or physical, grounded on the gender or sexuality of the victim. In most instances, sexual bullying is undertaken by the male gender. The United States department of education reports an average of 60% of expulsions and suspensions from learning institutions attached to sexual bullying (Goodwin et al. 328). In most instances, the young ones are frames into tricks to share their nudes, after which there are forced to fulfill specific sexual demands at the expense of exposure. Higher education bullying occurs at the campus or college level. Around 95% of students have reported having been bullied at the college level. Higher education bullying results in depression and suicide in most cases.

Measures to Control Bullying

The main approaches in controlling bullying in school settings include the implementation of educative programs, creating a positive school climate, engaging parents, encouraging open communication and punishments. These techniques, however, vary depending on the learning level and the prevalence of bullying in the particular period. Education programs involve creating awareness to parents, students, and teachers regarding what constitutes bullying. Educative programs are instrumental in creating insight into the harmful nature of whichever kind of bullying. All the stakeholders within the school fraternity are enrolled in sessions of creating awareness on the signs of bullying and the most appropriate intervention criteria. The most common ways in educating on bullying include role-play, identification and reporting discussions, and other approaches to decline being involved in bullying. Nickerson(19) argued that educative programs are 62% effective in curbing the prevalence of bullying in learning institutions.

Secondly, schools can help in the prevention of bullying by promoting a positive school climate. Schools with a positive climate are presumed to have a healthy development, while the negative school climate results in a surge in bullying cases, unsafe feelings, victimization, and aggression. While the elements of positive school culture vary from norms relative to power, relationships, and feelings, it’s evident that a positive climate is a product of a conscious process that becomes self-reinforcing (Goodwin et al. 330). The main determinants of a positive climate include leadership and integrity in learning institutions. Therefore, the ability to have cognitive leaders is an advantage of coping with bullying in schools.

Third, schools should engage parents. Parents spend most of their time with children at the primary level. While there are many stakeholders involved in the lives of the children, parents play an essential role in understanding their behavior. Engaging parents in bullying scenarios means initiating communication on the progress of the children in terms of behavior and performance. Integration between parents and teachers is essential in providing consistent approaches that help yield a more productive and appropriate behavior (Nickerson 22). Parents can help their children recognize while being bullied by others. However, the approach is not viable in urban schools as parents experience difficulties establishing trust with schools.

Finally, schools should initiate open communication techniques. Open communication is essential in building rapport. Having open communication means that students can disclose their problems to teachers. Open communication helps the teachers gain more insight into existing bullies in the school (Nickerson 20). For instance, classroom meetings in grade 4 will enable teachers to obtain crucial information in enacting more controls to curb bullying in schools. Teachers are expected to listen carefully during the class meetings to avoid inflicting fear on the learners. Students should be assured of confidentiality and privacy of the information obtained as any disclosure might attract further bullying.

Effects of School Bullying 

The effect of school bullying can be categorized in psychological and academic dimensions. Bullying results in poor performance in school. More than 70% of learners subjected to bullying ends up recording a decline in academic performance. The results are more severe at a young age. Bullying would result in fading of interest and participation of learners in school activities as it results in unexplained injuries linked to affecting concentration (Menesini and Christina 246). The impact of bullying on educational performance is increasingly becoming imminent. Bullying installs fear in learners from attending school regularly, thus affecting their consistency and concentration in class. Based on this explanation, it’s evident that bullied students will experience difficulties in achieving their academic goals. Moreover, bullying is linked with an unsafe learning environment that creates a negative climate of fear and insecurities and the perception that teachers do not care about the welfare of learners, thus decline in quality of education.

Secondly, bullying is associated with psychological problems. While bullying to individuals helps them enhance their personality and perceptions as they grow, it’s presumed that bullying can risk an individual developing an antisocial personality disorder linked to committing crimes. Bullying leads to depression, anxiety, and psychosomatic symptoms, which often leads to alcohol and substance abuse by the victims at a later stage in their lives. It’s argued that victims of depression feel free and open to share their experience with others, unlike in bullying, where the victims would choose to shy talking about the feeling in fear of being bullied again. In the short run, bystanders of the bullying experience may develop the fear, guiltiness, and sadness, and if the experience persists, they might get psychologically drained (Sampson). Therefore, the victims of bullying experiences struggle with insomnia, suicidal thoughts, health problems, and depression. Bullying does affect not only the students but also their classmates and family. Feeling powerless, parents and immediate family members might fall victim to depression and emotional distress. Some parents would invest more time in protecting their children, thus affecting them psychologically and economically.

Causes of Bullying

There are numerous causes of school bullying attached to religion, socioeconomic status, race, and gender. Understanding the reasons why students chose to bully their classmates is significant to teachers in combating bullying. The National Center for Educational Statistics report established that 25% of Blacks, 22% of Caucasians, 17% of Hispanics, and 9% of Asian students were bullied in 2017 (Divecha). Some of the students that bully others have higher levels of courage and confidence and can respond aggressively if threatened by the behavior. Students at the college level get bullied on sexual matters. For instance, the subscribers to LGBTQA sexual orientation get bullied based on their decision as gay or lesbians. Moreover, bullying in schools is caused by other factors attached to families. Students from abuse and divorced families are likely to bully others due to jealousy, anger, and despair.

From the above discussion, it’s evident that school bullying in whichever capacity is detrimental to human dignity. School bullying is increasingly becoming a social problem in modern society. Ideally, there are several types of school bullying attached to different causes. The effects of school bullying can be classified in psychological, economical, and academic dimensions. The primary forms of school form such as verbal, sexual, cyber, psychological, physical, and higher education bullying are categorized into direct and indirect bullying. The intervention strategies to curb bullying should involve all the stakeholders, such as parents, teachers, and students. The main approaches in controlling bullying in school settings include implementing educative programs, creating a positive school climate, engaging parents, and encouraging open communication and punishments.

Works Cited

Divecha, Diana. “What Are the Best Ways to Prevent Bullying in Schools?”  Greater Good , https://greatergood.berkeley.edu/article/item/what_are_the_best_ways_to_prevent_bullyi ng_in_schools

Sampson, Rana. “Center for Problem-Oriented Policing.” Arizona State University,  https://popcenter.asu.edu/content/bullying-schools-0

Menesini, Ersilia, and Christina Salmivalli. “Bullying in schools: the state of knowledge and effective interventions.”  Psychology, health & medicine  22.sup1 (2017): 240-253.

Goodwin, John, et al. “Bullying in schools: an evaluation of the use of drama in bullying prevention.” Journal of Creativity in Mental Health 14.3 (2019): 329-342.

Nickerson, Amanda B. “Preventing and intervening with bullying in schools: A framework for evidence- based practice.”  School Mental Health  11.1 (2019): 15-28.

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BULLYING: A RESEARCH-INFORMED DISCUSSION OF BULLYING OF YOUNG PEOPLE IN SCHOOLS AND WORKPLACES

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