introduction sample for research paper about bullying

Preventing Bullying Through Science, Policy, and Practice (2016)

Chapter: 1 introduction, 1 introduction.

Bullying, long tolerated by many as a rite of passage into adulthood, is now recognized as a major and preventable public health problem, one that can have long-lasting consequences ( McDougall and Vaillancourt, 2015 ; Wolke and Lereya, 2015 ). Those consequences—for those who are bullied, for the perpetrators of bullying, and for witnesses who are present during a bullying event—include poor school performance, anxiety, depression, and future delinquent and aggressive behavior. Federal, state, and local governments have responded by adopting laws and implementing programs to prevent bullying and deal with its consequences. However, many of these responses have been undertaken with little attention to what is known about bullying and its effects. Even the definition of bullying varies among both researchers and lawmakers, though it generally includes physical and verbal behavior, behavior leading to social isolation, and behavior that uses digital communications technology (cyberbullying). This report adopts the term “bullying behavior,” which is frequently used in the research field, to cover all of these behaviors.

Bullying behavior is evident as early as preschool, although it peaks during the middle school years ( Currie et al., 2012 ; Vaillancourt et al., 2010 ). It can occur in diverse social settings, including classrooms, school gyms and cafeterias, on school buses, and online. Bullying behavior affects not only the children and youth who are bullied, who bully, and who are both bullied and bully others but also bystanders to bullying incidents. Given the myriad situations in which bullying can occur and the many people who may be involved, identifying effective prevention programs and policies is challenging, and it is unlikely that any one approach will be ap-

propriate in all situations. Commonly used bullying prevention approaches include policies regarding acceptable behavior in schools and behavioral interventions to promote positive cultural norms.

STUDY CHARGE

Recognizing that bullying behavior is a major public health problem that demands the concerted and coordinated time and attention of parents, educators and school administrators, health care providers, policy makers, families, and others concerned with the care of children, a group of federal agencies and private foundations asked the National Academies of Sciences, Engineering, and Medicine to undertake a study of what is known and what needs to be known to further the field of preventing bullying behavior. The Committee on the Biological and Psychosocial Effects of Peer Victimization:

Lessons for Bullying Prevention was created to carry out this task under the Academies’ Board on Children, Youth, and Families and the Committee on Law and Justice. The study received financial support from the Centers for Disease Control and Prevention (CDC), the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the Health Resources and Services Administration, the Highmark Foundation, the National Institute of Justice, the Robert Wood Johnson Foundation, Semi J. and Ruth W. Begun Foundation, and the Substance Abuse and Mental Health Services Administration. The full statement of task for the committee is presented in Box 1-1 .

Although the committee acknowledges the importance of this topic as it pertains to all children in the United States and in U.S. territories, this report focuses on the 50 states and the District of Columbia. Also, while the committee acknowledges that bullying behavior occurs in the school

environment for youth in foster care, in juvenile justice facilities, and in other residential treatment facilities, this report does not address bullying behavior in those environments because it is beyond the study charge.

CONTEXT FOR THE STUDY

This section of the report highlights relevant work in the field and, later in the chapter under “The Committee’s Approach,” presents the conceptual framework and corresponding definitions of terms that the committee has adopted.

Historical Context

Bullying behavior was first characterized in the scientific literature as part of the childhood experience more than 100 years ago in “Teasing and Bullying,” published in the Pedagogical Seminary ( Burk, 1897 ). The author described bullying behavior, attempted to delineate causes and cures for the tormenting of others, and called for additional research ( Koo, 2007 ). Nearly a century later, Dan Olweus, a Swedish research professor of psychology in Norway, conducted an intensive study on bullying ( Olweus, 1978 ). The efforts of Olweus brought awareness to the issue and motivated other professionals to conduct their own research, thereby expanding and contributing to knowledge of bullying behavior. Since Olweus’s early work, research on bullying has steadily increased (see Farrington and Ttofi, 2009 ; Hymel and Swearer, 2015 ).

Over the past few decades, venues where bullying behavior occurs have expanded with the advent of the Internet, chat rooms, instant messaging, social media, and other forms of digital electronic communication. These modes of communication have provided a new communal avenue for bullying. While the media reports linking bullying to suicide suggest a causal relationship, the available research suggests that there are often multiple factors that contribute to a youth’s suicide-related ideology and behavior. Several studies, however, have demonstrated an association between bullying involvement and suicide-related ideology and behavior (see, e.g., Holt et al., 2015 ; Kim and Leventhal, 2008 ; Sourander, 2010 ; van Geel et al., 2014 ).

In 2013, the Health Resources and Services Administration of the U.S. Department of Health and Human Services requested that the Institute of Medicine 1 and the National Research Council convene an ad hoc planning committee to plan and conduct a 2-day public workshop to highlight relevant information and knowledge that could inform a multidisciplinary

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1 Prior to 2015, the National Academy of Medicine was known as the Institute of Medicine.

road map on next steps for the field of bullying prevention. Content areas that were explored during the April 2014 workshop included the identification of conceptual models and interventions that have proven effective in decreasing bullying and the antecedents to bullying while increasing protective factors that mitigate the negative health impact of bullying. The discussions highlighted the need for a better understanding of the effectiveness of program interventions in realistic settings; the importance of understanding what works for whom and under what circumstances, as well as the influence of different mediators (i.e., what accounts for associations between variables) and moderators (i.e., what affects the direction or strength of associations between variables) in bullying prevention efforts; and the need for coordination among agencies to prevent and respond to bullying. The workshop summary ( Institute of Medicine and National Research Council, 2014c ) informs this committee’s work.

Federal Efforts to Address Bullying and Related Topics

Currently, there is no comprehensive federal statute that explicitly prohibits bullying among children and adolescents, including cyberbullying. However, in the wake of the growing concerns surrounding the implications of bullying, several federal initiatives do address bullying among children and adolescents, and although some of them do not primarily focus on bullying, they permit some funds to be used for bullying prevention purposes.

The earliest federal initiative was in 1999, when three agencies collaborated to establish the Safe Schools/Healthy Students initiative in response to a series of deadly school shootings in the late 1990s. The program is administered by the U.S. Departments of Education, Health and Human Services, and Justice to prevent youth violence and promote the healthy development of youth. It is jointly funded by the Department of Education and by the Department of Health and Human Services’ Substance Abuse and Mental Health Services Administration. The program has provided grantees with both the opportunity to benefit from collaboration and the tools to sustain it through deliberate planning, more cost-effective service delivery, and a broader funding base ( Substance Abuse and Mental Health Services Administration, 2015 ).

The next major effort was in 2010, when the Department of Education awarded $38.8 million in grants under the Safe and Supportive Schools (S3) Program to 11 states to support statewide measurement of conditions for learning and targeted programmatic interventions to improve conditions for learning, in order to help schools improve safety and reduce substance use. The S3 Program was administered by the Safe and Supportive Schools Group, which also administered the Safe and Drug-Free Schools and Communities Act State and Local Grants Program, authorized by the

1994 Elementary and Secondary Education Act. 2 It was one of several programs related to developing and maintaining safe, disciplined, and drug-free schools. In addition to the S3 grants program, the group administered a number of interagency agreements with a focus on (but not limited to) bullying, school recovery research, data collection, and drug and violence prevention activities ( U.S. Department of Education, 2015 ).

A collaborative effort among the U.S. Departments of Agriculture, Defense, Education, Health and Human Services, Interior, and Justice; the Federal Trade Commission; and the White House Initiative on Asian Americans and Pacific Islanders created the Federal Partners in Bullying Prevention (FPBP) Steering Committee. Led by the U.S. Department of Education, the FPBP works to coordinate policy, research, and communications on bullying topics. The FPBP Website provides extensive resources on bullying behavior, including information on what bullying is, its risk factors, its warning signs, and its effects. 3 The FPBP Steering Committee also plans to provide details on how to get help for those who have been bullied. It also was involved in creating the “Be More than a Bystander” Public Service Announcement campaign with the Ad Council to engage students in bullying prevention. To improve school climate and reduce rates of bullying nationwide, FPBP has sponsored four bullying prevention summits attended by education practitioners, policy makers, researchers, and federal officials.

In 2014, the National Institute of Justice—the scientific research arm of the U.S. Department of Justice—launched the Comprehensive School Safety Initiative with a congressional appropriation of $75 million. The funds are to be used for rigorous research to produce practical knowledge that can improve the safety of schools and students, including bullying prevention. The initiative is carried out through partnerships among researchers, educators, and other stakeholders, including law enforcement, behavioral and mental health professionals, courts, and other justice system professionals ( National Institute of Justice, 2015 ).

In 2015, the Every Student Succeeds Act was signed by President Obama, reauthorizing the 50-year-old Elementary and Secondary Education Act, which is committed to providing equal opportunities for all students. Although bullying is neither defined nor prohibited in this act, it is explicitly mentioned in regard to applicability of safe school funding, which it had not been in previous iterations of the Elementary and Secondary Education Act.

The above are examples of federal initiatives aimed at promoting the

2 The Safe and Drug-Free Schools and Communities Act was included as Title IV, Part A, of the 1994 Elementary and Secondary Education Act. See http://www.ojjdp.gov/pubs/gun_violence/sect08-i.html [October 2015].

3 For details, see http://www.stopbullying.gov/ [October 2015].

healthy development of youth, improving the safety of schools and students, and reducing rates of bullying behavior. There are several other federal initiatives that address student bullying directly or allow funds to be used for bullying prevention activities.

Definitional Context

The terms “bullying,” “harassment,” and “peer victimization” have been used in the scientific literature to refer to behavior that is aggressive, is carried out repeatedly and over time, and occurs in an interpersonal relationship where a power imbalance exists ( Eisenberg and Aalsma, 2005 ). Although some of these terms have been used interchangeably in the literature, peer victimization is targeted aggressive behavior of one child against another that causes physical, emotional, social, or psychological harm. While conflict and bullying among siblings are important in their own right ( Tanrikulu and Campbell, 2015 ), this area falls outside of the scope of the committee’s charge. Sibling conflict and aggression falls under the broader concept of interpersonal aggression, which includes dating violence, sexual assault, and sibling violence, in addition to bullying as defined for this report. Olweus (1993) noted that bullying, unlike other forms of peer victimization where the children involved are equally matched, involves a power imbalance between the perpetrator and the target, where the target has difficulty defending him or herself and feels helpless against the aggressor. This power imbalance is typically considered a defining feature of bullying, which distinguishes this particular form of aggression from other forms, and is typically repeated in multiple bullying incidents involving the same individuals over time ( Olweus, 1993 ).

Bullying and violence are subcategories of aggressive behavior that overlap ( Olweus, 1996 ). There are situations in which violence is used in the context of bullying. However, not all forms of bullying (e.g., rumor spreading) involve violent behavior. The committee also acknowledges that perspective about intentions can matter and that in many situations, there may be at least two plausible perceptions involved in the bullying behavior.

A number of factors may influence one’s perception of the term “bullying” ( Smith and Monks, 2008 ). Children and adolescents’ understanding of the term “bullying” may be subject to cultural interpretations or translations of the term ( Hopkins et al., 2013 ). Studies have also shown that influences on children’s understanding of bullying include the child’s experiences as he or she matures and whether the child witnesses the bullying behavior of others ( Hellström et al., 2015 ; Monks and Smith, 2006 ; Smith and Monks, 2008 ).

In 2010, the FPBP Steering Committee convened its first summit, which brought together more than 150 nonprofit and corporate leaders,

researchers, practitioners, parents, and youths to identify challenges in bullying prevention. Discussions at the summit revealed inconsistencies in the definition of bullying behavior and the need to create a uniform definition of bullying. Subsequently, a review of the 2011 CDC publication of assessment tools used to measure bullying among youth ( Hamburger et al., 2011 ) revealed inconsistent definitions of bullying and diverse measurement strategies. Those inconsistencies and diverse measurements make it difficult to compare the prevalence of bullying across studies ( Vivolo et al., 2011 ) and complicate the task of distinguishing bullying from other types of aggression between youths. A uniform definition can support the consistent tracking of bullying behavior over time, facilitate the comparison of bullying prevalence rates and associated risk and protective factors across different data collection systems, and enable the collection of comparable information on the performance of bullying intervention and prevention programs across contexts ( Gladden et al., 2014 ). The CDC and U.S. Department of Education collaborated on the creation of the following uniform definition of bullying (quoted in Gladden et al., 2014, p. 7 ):

Bullying is any unwanted aggressive behavior(s) by another youth or group of youths who are not siblings or current dating partners that involves an observed or perceived power imbalance and is repeated multiple times or is highly likely to be repeated. Bullying may inflict harm or distress on the targeted youth including physical, psychological, social, or educational harm.

This report noted that the definition includes school-age individuals ages 5-18 and explicitly excludes sibling violence and violence that occurs in the context of a dating or intimate relationship ( Gladden et al., 2014 ). This definition also highlighted that there are direct and indirect modes of bullying, as well as different types of bullying. Direct bullying involves “aggressive behavior(s) that occur in the presence of the targeted youth”; indirect bullying includes “aggressive behavior(s) that are not directly communicated to the targeted youth” ( Gladden et al., 2014, p. 7 ). The direct forms of violence (e.g., sibling violence, teen dating violence, intimate partner violence) can include aggression that is physical, sexual, or psychological, but the context and uniquely dynamic nature of the relationship between the target and the perpetrator in which these acts occur is different from that of peer bullying. Examples of direct bullying include pushing, hitting, verbal taunting, or direct written communication. A common form of indirect bullying is spreading rumors. Four different types of bullying are commonly identified—physical, verbal, relational, and damage to property. Some observational studies have shown that the different forms of bullying that youths commonly experience may overlap ( Bradshaw et al., 2015 ;

Godleski et al., 2015 ). The four types of bullying are defined as follows ( Gladden et al., 2014 ):

• Physical bullying involves the use of physical force (e.g., shoving, hitting, spitting, pushing, and tripping).
• Verbal bullying involves oral or written communication that causes harm (e.g., taunting, name calling, offensive notes or hand gestures, verbal threats).
• Relational bullying is behavior “designed to harm the reputation and relationships of the targeted youth (e.g., social isolation, rumor spreading, posting derogatory comments or pictures online).”
• Damage to property is “theft, alteration, or damaging of the target youth’s property by the perpetrator to cause harm.”

In recent years, a new form of aggression or bullying has emerged, labeled “cyberbullying,” in which the aggression occurs through modern technological devices, specifically mobile phones or the Internet ( Slonje and Smith, 2008 ). Cyberbullying may take the form of mean or nasty messages or comments, rumor spreading through posts or creation of groups, and exclusion by groups of peers online.

While the CDC definition identifies bullying that occurs using technology as electronic bullying and views that as a context or location where bullying occurs, one of the major challenges in the field is how to conceptualize and define cyberbullying ( Tokunaga, 2010 ). The extent to which the CDC definition can be applied to cyberbullying is unclear, particularly with respect to several key concepts within the CDC definition. First, whether determination of an interaction as “wanted” or “unwanted” or whether communication was intended to be harmful can be challenging to assess in the absence of important in-person socioemotional cues (e.g., vocal tone, facial expressions). Second, assessing “repetition” is challenging in that a single harmful act on the Internet has the potential to be shared or viewed multiple times ( Sticca and Perren, 2013 ). Third, cyberbullying can involve a less powerful peer using technological tools to bully a peer who is perceived to have more power. In this manner, technology may provide the tools that create a power imbalance, in contrast to traditional bullying, which typically involves an existing power imbalance.

A study that used focus groups with college students to discuss whether the CDC definition applied to cyberbullying found that students were wary of applying the definition due to their perception that cyberbullying often involves less emphasis on aggression, intention, and repetition than other forms of bullying ( Kota et al., 2014 ). Many researchers have responded to this lack of conceptual and definitional clarity by creating their own measures to assess cyberbullying. It is noteworthy that very few of these

definitions and measures include the components of traditional bullying—i.e., repetition, power imbalance, and intent ( Berne et al., 2013 ). A more recent study argues that the term “cyberbullying” should be reserved for incidents that involve key aspects of bullying such as repetition and differential power ( Ybarra et al., 2014 ).

Although the formulation of a uniform definition of bullying appears to be a step in the right direction for the field of bullying prevention, there are some limitations of the CDC definition. For example, some researchers find the focus on school-age youth as well as the repeated nature of bullying to be rather limiting; similarly the exclusion of bullying in the context of sibling relationships or dating relationships may preclude full appreciation of the range of aggressive behaviors that may co-occur with or constitute bullying behavior. As noted above, other researchers have raised concerns about whether cyberbullying should be considered a particular form or mode under the broader heading of bullying as suggested in the CDC definition, or whether a separate defintion is needed. Furthermore, the measurement of bullying prevalence using such a definiton of bullying is rather complex and does not lend itself well to large-scale survey research. The CDC definition was intended to inform public health surveillance efforts, rather than to serve as a definition for policy. However, increased alignment between bullying definitions used by policy makers and researchers would greatly advance the field. Much of the extant research on bullying has not applied a consistent definition or one that aligns with the CDC definition. As a result of these and other challenges to the CDC definition, thus far there has been inconsistent adoption of this particular definition by researchers, practitioners, or policy makers; however, as the definition was created in 2014, less than 2 years is not a sufficient amount of time to assess whether it has been successfully adopted or will be in the future.

THE COMMITTEE’S APPROACH

This report builds on the April 2014 workshop, summarized in Building Capacity to Reduce Bullying: Workshop Summary ( Institute of Medicine and National Research Council, 2014c ). The committee’s work was accomplished over an 18-month period that began in October 2014, after the workshop was held and the formal summary of it had been released. The study committee members represented expertise in communication technology, criminology, developmental and clinical psychology, education, mental health, neurobiological development, pediatrics, public health, school administration, school district policy, and state law and policy. (See Appendix E for biographical sketches of the committee members and staff.) The committee met three times in person and conducted other meetings by teleconferences and electronic communication.

Information Gathering

The committee conducted an extensive review of the literature pertaining to peer victimization and bullying. In some instances, the committee drew upon the broader literature on aggression and violence. The review began with an English-language literature search of online databases, including ERIC, Google Scholar, Lexis Law Reviews Database, Medline, PubMed, Scopus, PsycInfo, and Web of Science, and was expanded as literature and resources from other countries were identified by committee members and project staff as relevant. The committee drew upon the early childhood literature since there is substantial evidence indicating that bullying involvement happens as early as preschool (see Vlachou et al., 2011 ). The committee also drew on the literature on late adolescence and looked at related areas of research such as maltreatment for insights into this emerging field.

The committee used a variety of sources to supplement its review of the literature. The committee held two public information-gathering sessions, one with the study sponsors and the second with experts on the neurobiology of bullying; bullying as a group phenomenon and the role of bystanders; the role of media in bullying prevention; and the intersection of social science, the law, and bullying and peer victimization. See Appendix A for the agendas for these two sessions. To explore different facets of bullying and give perspectives from the field, a subgroup of the committee and study staff also conducted a site visit to a northeastern city, where they convened four stakeholder groups comprised, respectively, of local practitioners, school personnel, private foundation representatives, and young adults. The site visit provided the committee with an opportunity for place-based learning about bullying prevention programs and best practices. Each focus group was transcribed and summarized thematically in accordance with this report’s chapter considerations. Themes related to the chapters are displayed throughout the report in boxes titled “Perspectives from the Field”; these boxes reflect responses synthesized from all four focus groups. See Appendix B for the site visit’s agenda and for summaries of the focus groups.

The committee also benefited from earlier reports by the National Academies of Sciences, Engineering, and Medicine through its Division of Behavioral and Social Sciences and Education and the Institute of Medicine, most notably:

• Reducing Risks for Mental Disorders: Frontiers for Preventive Intervention Research ( Institute of Medicine, 1994 )
• Community Programs to Promote Youth Development ( National Research Council and Institute of Medicine, 2002 )
• Deadly Lessons: Understanding Lethal School Violence ( National Research Council and Institute of Medicine, 2003 )
• Preventing Mental, Emotional, and Behavioral Disorders Among Young People: Progress and Possibilities ( National Research Council and Institute of Medicine, 2009 )
• The Science of Adolescent Risk-Taking: Workshop Report ( Institute of Medicine and National Research Council, 2011 )
• Communications and Technology for Violence Prevention: Workshop Summary ( Institute of Medicine and National Research Council, 2012 )
• Building Capacity to Reduce Bullying: Workshop Summary ( Institute of Medicine and National Research Council, 2014c )
• The Evidence for Violence Prevention across the Lifespan and Around the World: Workshop Summary ( Institute of Medicine and National Research Council, 2014a )
• Strategies for Scaling Effective Family-Focused Preventive Interventions to Promote Children’s Cognitive, Affective, and Behavioral Health: Workshop Summary ( Institute of Medicine and National Research Council, 2014b )
• Investing in the Health and Well-Being of Young Adults ( Institute of Medicine and National Research Council, 2015 )

Although these past reports and workshop summaries address various forms of violence and victimization, this report is the first consensus study by the National Academies of Sciences, Engineering, and Medicine on the state of the science on the biological and psychosocial consequences of bullying and the risk and protective factors that either increase or decrease bullying behavior and its consequences.

Terminology

Given the variable use of the terms “bullying” and “peer victimization” in both the research-based and practice-based literature, the committee chose to use the current CDC definition quoted above ( Gladden et al., 2014, p. 7 ). While the committee determined that this was the best definition to use, it acknowledges that this definition is not necessarily the most user-friendly definition for students and has the potential to cause problems for students reporting bullying. Not only does this definition provide detail on the common elements of bullying behavior but it also was developed with input from a panel of researchers and practitioners. The committee also followed the CDC in focusing primarily on individuals between the ages of 5 and 18. The committee recognizes that children’s development occurs on a continuum, and so while it relied primarily on the CDC defini-

tion, its work and this report acknowledge the importance of addressing bullying in both early childhood and emerging adulthood. For purposes of this report, the committee used the terms “early childhood” to refer to ages 1-4, “middle childhood” for ages 5 to 10, “early adolescence” for ages 11-14, “middle adolescence” for ages 15-17, and “late adolescence” for ages 18-21. This terminology and the associated age ranges are consistent with the Bright Futures and American Academy of Pediatrics definition of the stages of development. 4

A given instance of bullying behavior involves at least two unequal roles: one or more individuals who perpetrate the behavior (the perpetrator in this instance) and at least one individual who is bullied (the target in this instance). To avoid labeling and potentially further stigmatizing individuals with the terms “bully” and “victim,” which are sometimes viewed as traits of persons rather than role descriptions in a particular instance of behavior, the committee decided to use “individual who is bullied” to refer to the target of a bullying instance or pattern and “individual who bullies” to refer to the perpetrator of a bullying instance or pattern. Thus, “individual who is bullied and bullies others” can refer to one who is either perpetrating a bullying behavior or a target of bullying behavior, depending on the incident. This terminology is consistent with the approach used by the FPBP (see above). Also, bullying is a dynamic social interaction ( Espelage and Swearer, 2003 ) where individuals can play different roles in bullying interactions based on both individual and contextual factors.

The committee used “cyberbullying” to refer to bullying that takes place using technology or digital electronic means. “Digital electronic forms of contact” comprise a broad category that may include e-mail, blogs, social networking Websites, online games, chat rooms, forums, instant messaging, Skype, text messaging, and mobile phone pictures. The committee uses the term “traditional bullying” to refer to bullying behavior that is not cyberbullying (to aid in comparisons), recognizing that the term has been used at times in slightly different senses in the literature.

Where accurate reporting of study findings requires use of the above terms but with senses different from those specified here, the committee has noted the sense in which the source used the term. Similarly, accurate reporting has at times required use of terms such as “victimization” or “victim” that the committee has chosen to avoid in its own statements.

4 For details on these stages of adolescence, see https://brightfutures.aap.org/Bright%20Futures%20Documents/3-Promoting_Child_Development.pdf [October 2015].

ORGANIZATION OF THE REPORT

This report is organized into seven chapters. After this introductory chapter, Chapter 2 provides a broad overview of the scope of the problem.

Chapter 3 focuses on the conceptual frameworks for the study and the developmental trajectory of the child who is bullied, the child who bullies, and the child who is bullied and also bullies. It explores processes that can explain heterogeneity in bullying outcomes by focusing on contextual processes that moderate the effect of individual characteristics on bullying behavior.

Chapter 4 discusses the cyclical nature of bullying and the consequences of bullying behavior. It summarizes what is known about the psychosocial, physical health, neurobiological, academic-performance, and population-level consequences of bullying.

Chapter 5 provides an overview of the landscape in bullying prevention programming. This chapter describes in detail the context for preventive interventions and the specific actions that various stakeholders can take to achieve a coordinated response to bullying behavior. The chapter uses the Institute of Medicine’s multi-tiered framework ( National Research Council and Institute of Medicine, 2009 ) to present the different levels of approaches to preventing bullying behavior.

Chapter 6 reviews what is known about federal, state, and local laws and policies and their impact on bullying.

After a critical review of the relevant research and practice-based literatures, Chapter 7 discusses the committee conclusions and recommendations and provides a path forward for bullying prevention.

The report includes a number of appendixes. Appendix A includes meeting agendas of the committee’s public information-gathering meetings. Appendix B includes the agenda and summaries of the site visit. Appendix C includes summaries of bullying prevalence data from the national surveys discussed in Chapter 2 . Appendix D provides a list of selected federal resources on bullying for parents and teachers. Appendix E provides biographical sketches of the committee members and project staff.

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National Research Council and Institute of Medicine. (2009). Preventing Mental, Emotional, and Behavioral Disorders among Young People: Progress and Possibilities. Committee on the Prevention of Mental Disorders and Substance Abuse Among Children, Youth, and Young Adults: Research Advances and Promising Interventions. M.E. O’Connell, T. Boat, and K.E. Warner, Editors. Board on Children, Youth, and Families, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.

Olweus, D. (1978). Aggression in the Schools: Bullies and Whipping Boys. Washington, DC: Hemisphere.

Olweus, D. (1993). Bullying at School. What We Know and Whal We Can Do. Oxford, UK: Blackwell.

Olweus, D. (1996). Bully/victim problems in school. Prospects, 26 (2), 331-359.

Slonje, R., and Smith, P.K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49 (2), 147-154.

Smith, P. ., and Monks, C. . (2008). Concepts of bullying: Developmental and cultural aspects. International Journal of Adolescent Medicine and Health, 20 (2), 101-112.

Sourander, A. (2010). The association of suicide and bullying in childhood to young adulthood: A review of cross-sectional and longitudinal research findings. Canadian Journal of Psychiatry, 55 (5), 282.

Sticca, F., and Perren, S. (2013). Is cyberbullying worse than traditional bullying? Examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. Journal of Youth and Adolescence, 42 (5), 739-750.

Substance Abuse and Mental Health Services Administration. (2015). Safe Schools/Healthy Students. 2015. Available: http://www.samhsa.gov/safe-schools-healthy-students/about [November 2015].

Tanrikulu, I., and Campbell, M. (2015). Correlates of traditional bullying and cyberbullying perpetration among Australian students. Children and Youth Services Review , 55 , 138-146.

Tokunaga, R.S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26 (3), 277-287.

U.S. Department of Education. (2015). Safe and Supportive Schools . Available: http://www.ed.gov/news/press-releases/us-department-education-awards-388-million-safe-and-supportive-school-grants [October 2015].

Vaillancourt, T., Trinh, V., McDougall, P., Duku, E., Cunningham, L., Cunningham, C., Hymel, S., and Short, K. (2010). Optimizing population screening of bullying in school-aged children. Journal of School Violence, 9 (3), 233-250.

van Geel, M., Vedder, P., and Tanilon, J. (2014). Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: A meta-analysis. Journal of the American Medical Association. Pediatrics, 168 (5), 435-442.

Vivolo, A.M., Holt, M.K., and Massetti, G.M. (2011). Individual and contextual factors for bullying and peer victimization: Implications for prevention. Journal of School Violence, 10 (2), 201-212.

Vlachou, M., Andreou, E., Botsoglou, K., and Didaskalou, E. (2011). Bully/victim problems among preschool children: A review of current research evidence. Educational Psychology Review, 23 (3), 329-358.

Wolke, D., and Lereya, S.T. (2015). Long-term effects of bullying. Archives of Disease in Childhood, 100 (9), 879-885.

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Bullying has long been tolerated as a rite of passage among children and adolescents. There is an implication that individuals who are bullied must have "asked for" this type of treatment, or deserved it. Sometimes, even the child who is bullied begins to internalize this idea. For many years, there has been a general acceptance and collective shrug when it comes to a child or adolescent with greater social capital or power pushing around a child perceived as subordinate. But bullying is not developmentally appropriate; it should not be considered a normal part of the typical social grouping that occurs throughout a child's life.

Although bullying behavior endures through generations, the milieu is changing. Historically, bulling has occurred at school, the physical setting in which most of childhood is centered and the primary source for peer group formation. In recent years, however, the physical setting is not the only place bullying is occurring. Technology allows for an entirely new type of digital electronic aggression, cyberbullying, which takes place through chat rooms, instant messaging, social media, and other forms of digital electronic communication.

Composition of peer groups, shifting demographics, changing societal norms, and modern technology are contextual factors that must be considered to understand and effectively react to bullying in the United States. Youth are embedded in multiple contexts and each of these contexts interacts with individual characteristics of youth in ways that either exacerbate or attenuate the association between these individual characteristics and bullying perpetration or victimization. Recognizing that bullying behavior is a major public health problem that demands the concerted and coordinated time and attention of parents, educators and school administrators, health care providers, policy makers, families, and others concerned with the care of children, this report evaluates the state of the science on biological and psychosocial consequences of peer victimization and the risk and protective factors that either increase or decrease peer victimization behavior and consequences.

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• v.5(1); 2021

Bullying in children: impact on child health

Richard armitage.

Division of Epidemiology and Public Health, University of Nottingham, Nottingham, UK

Associated Data

Bullying in childhood is a major public health problem that increases the risk of poor health, social and educational outcomes in childhood and adolescence. These consequences are felt by all those involved in bullying (bullies, victims and bully–victims) and are now recognised to propagate deep into adulthood. Cyberbullying is a relatively new type of bullying in addition to the traditional forms of direct physical, direct verbal and indirect bullying. Children who are perceived as being ‘different’ in any way are at greater risk of victimisation, with physical appearance being the most frequent trigger of childhood bullying. Globally, one in three children have been bullied in the past 30 days, although there is substantial regional variation in the prevalence and type of bullying experienced. The consequences of childhood bullying can be categorised into three broad categories: educational consequences during childhood, health consequences during childhood and all consequences during adulthood. Many dose–response relationships exist between the frequency and intensity of bullying experienced and the severity of negative health consequence reported. The majority of victims of cyberbullying are also victims of traditional bullying, meaning cyberbullying creates very few additional victims. Overall, adverse mental health outcomes due to bullying in childhood most severely impact on bully–victims. Bullying prevention is vital for the achievement of the Sustainable Development Goals, with whole-school cooperative learning interventions having the strongest evidence base for successful outcomes. Clear management and referral pathways for health professionals dealing with childhood bullying are lacking in both primary and secondary care, although specialist services are available locally and online.

Key messages

• Bullying in childhood is a global public health problem that impacts on child, adolescent and adult health.
• Bullying exists in its traditional, sexual and cyber forms, all of which impact on the physical, mental and social health of victims, bullies and bully–victims.
• Children perceived as ‘different’ in any way are at greater risk of victimisation.
• Bullying is extremely prevalent: one in three children globally has been victimised in the preceding month.
• Existing bullying prevention interventions are rarely evidence-based and alternative approaches are urgently needed.

Introduction

Bullying in childhood has been classified by the WHO as a major public health problem 1 and for decades has been known to increase the risk of poor health, social and educational outcomes in childhood and adolescence. 2 Characterised by repeated victimisation within a power-imbalanced relationship, bullying encompasses a wide range of types, frequencies and aggression levels, ranging from teasing and name calling to physical, verbal and social abuse. 3 The dynamics within such relationships become consolidated with repeated and sustained episodes of bullying: bullies accrue compounding power while victims are stripped of their own and become progressively less able to defend themselves and increasingly vulnerable to psychological distress. 4

However, only in the last decade have prospective studies been published that reveal the far-reaching effects of childhood bullying that extend into adulthood. There is now substantial evidence that being bullied as a child or adolescent has a causal relationship to the development of mental health issues beyond the early years of life, including depression, anxiety and suicidality. 5 As such, addressing the global public health problem of bullying in childhood has received increasing international attention and is vital for the achievement of Sustainable Development Goal 4. 6 The impact of the COVID-19 pandemic on child health and education has focused further attention on bullying in its digital form, so-called ‘cyberbullying’, the prevalence of which is feared to be increasing. 7

Types of bullying

Participants in childhood bullying take up one of three roles: the victim, the bully (or perpetrator) or the bully–victim (who is both a perpetrator and a victim of bullying). 5 Victims and bullies either belong to the same peer group (peer bullying) or the same family unit (sibling bullying), 8 although bullying frequently occurs in multiple settings simultaneously, such as at school (peer bullying) and in the home (sibling bullying), representing a ubiquitous ecology of bullying that permeates the child’s life.

Three main types of bullying are observed, the typical characteristics of which are illustrated in table 1 .

Typical characteristics of the main types of childhood bullying

While traditional bullying has been recognised and studied for many decades 9 and is often accepted as an inevitable aspect of a normal childhood, 3 cyberbullying represents a relatively new phenomenon in which childhood bullying now takes place through digital modalities. The widespread uptake of electronic devices has reached almost complete saturation among adolescents in high-income countries, with users checking their devices hundreds of times and for hours each day. 10 While providing beneficial access to information and social support, this large and growing online exposure of young people renders them vulnerable to exploitation, gambling, and grooming by criminals and sexual abusers, as well as cyberbullying. 11 Due to the increased potential for large audiences, anonymous attacks and the permanence of posted messages, coupled with lower levels of direct feedback, reduced time and space limits, and decreased adult supervision, it is feared that cyberbullying may pose a greater threat to child and adolescent health than traditional bullying modalities. 12

Factors that influence bullying

Two large-scale international surveys regularly conducted by the WHO—the Global School-based Student Health Survey (GSHS) 13 and the Health Behaviour in School-aged Children (HBSC) study 14 —provide data from 144 countries and territories in all regions of the world. These data identify specific factors that strongly influence the type, frequency and severity of bullying experienced by children and adolescents globally. These factors, which are briefly described in table 2 , suggest that children who are perceived as being ‘different’ in any way are at greater risk of victimisation.

Summary of factors that influence child and adolescent bullying 15

Prevalence of bullying

A 2019 report from the United Nations Educational, Scientific and Cultural Organisation (UNESCO) 15 examined the global prevalence of bullying in childhood and adolescence using data from the GSHS and HBSC studies along with addition data from the Progress in International Reading Literacy Study 16 and the Programme for International Students Assessment. 17 It found that almost one in three (32%) children globally has been the victim of bullying on one or more days in the preceding month, and that 1 in 13 (7.3%) has been bullied on six or more days over the same period. 15 However, there is substantial regional variation in the prevalence of bullying across the world, ranging from 22.8% of children being victimised in Central America, through 25.0% and 31.7% in Europe and North America, respectively, to 48.2% in sub-Saharan Africa. There is also significant geographical variation in the type of bullying reported, with direct physical and sexual bullying being dominant in low-income and middle-income countries, and indirect bullying being the most frequent type in high-income regions. Nevertheless, bullying is a sizeable public health problem of truly global importance.

Encouragingly, there has been a decrease in the prevalence of bullying in half (50.0%) of countries since 2002, while 31.4% have seen no significant change over this time frame. 15 However, 18.6% of countries have witnessed an increase in childhood bullying, primarily among members of one sex or the other, although in both girls and boys in North Africa, sub-Saharan Africa, Myanmar, the Philippines, and United Arab Emirates. 15

Since its appearance, cyberbullying has received substantial media attention claiming that the near-ubiquitous uptake of social media among adolescents has induced a tidal wave of online victimisation and triggered multiple high-profile suicides among adolescents after being bullied online. 18 19 However, a recent meta-analysis suggests that cyberbullying is far less prevalent than bullying in its traditional forms, with rates of online victimisation less than half of those offline. 20 The study also found relatively strong correlations between bullying in its traditional and cyber varieties, suggesting victims of online bullying are also likely to be bullied offline, and that that these different forms of victimisation reflect alternative methods of enacting the same perpetrator behaviour. Recent evidence from England also indicates a difference between sexes, with 1 in 20 adolescent girls and 1 in 50 adolescent boys reporting cyberbully victimisation over the previous 2 months. 21

Consequences of bullying

There is a vast range of possible consequences of bullying in childhood, determined by multiple factors including the frequency, severity and type of bullying, the role of the participant (victim, bully or bully–victim) and the timing at which the consequences are observed (during childhood, adolescence or adulthood). The consequences can be grouped into three broad categories: educational consequences during childhood and adolescence, health consequences during childhood and adolescence, and all consequences during adulthood. Each will now be discussed individually.

Educational consequences during childhood and adolescence

Children who are frequently bullied are more likely to feel like an outsider at school, 17 while indirect bullying specifically has been shown to have a negative effect on socialisation and feelings of acceptance among children in schools. 22 Accordingly, a child’s sense of belonging at school increases as bullying decreases. 22 In addition, being bullied can affect continued engagement in education. Compared with those who are not bullied, children who are frequently bullied are nearly twice as likely to regularly skip school and are more likely to want to leave school after finishing secondary education. 16 The effect of frequent bullying on these educational consequences is illustrated in table 3 .

Relationship between being frequently bullied and educational consequences 20

Children who are bullied score lower in tests than those who are not. For example, in 15 Latin American countries, the test scores of bullied children were 2.1% lower in mathematics and 2.5% lower in reading than non-bullied children. 22 Compared with children never or almost never bullied, average learning achievement scores were 2.7% lower in children bullied monthly, and 7.5% lower in children bullied weekly, indicating a dose–response relationship. These findings are globally consistent across both low-income and high-income countries. 17

Health consequences during childhood and adolescence

Numerous meta-analyses, 2 23–26 longitudinal studies 5 27 28 and cross-sectional studies 29–31 have demonstrated strong relationships between childhood bullying and physical, mental and social health outcomes in victims, bullies and bully–victims. Some of these consequences are illustrated in table 4 . Reported physical health outcomes are mostly psychosomatic in nature. Most studies focused on the impacts on victims, although adverse effects on bullies and bully–victims are also recognised. Many studies identified a dose–response relationship between the frequency and intensity of bullying experienced and the severity of negative health consequence reported.

Summary of childhood health consequences of bullying during childhood

While there is significant regional variation, the association between childhood bullying and suicidal ideation and behaviour are recognised globally. 32 Alarmingly, childhood bully victimisation is associated with a risk of mental health problems similar to that experienced by children in public or substitute care. 33 Victimisation in sibling bullying is associated with substantial emotional problems in childhood, including low self-esteem, depression and self-harm, 8 and increases the risk of further victimisation through peer bullying. Overall, adverse mental health outcomes due to bullying in childhood appear to most severely impact on bully–victims, followed by victims and bullies. 34

Nine out of 10 adolescents who report victimisation by cyberbullying are also victims of bullying in its traditional forms, 35 meaning cyberbullying creates very few additional victims, 36 but is another weapon in the bully’s arsenal and has not replaced traditional methods. 37 Cyberbullying victimisation appears to be an independent risk factor for mental health problems only in girls and is not associated with suicidal ideation in either sex. 38 As such, traditional bullying is still the major type of bullying associated with poor mental health outcomes in children and adolescents. 21

Consequences during adulthood

A recent meta-analysis 39 and numerous other prospective longitudinal studies 40 41 that used large, population-based, community samples analysed through quantitative methods suggest that childhood bullying can lead to three main negative outcomes in adulthood for victims, bullies and bully–victims: psychopathology, suicidality and criminality. Some of these consequences are illustrated in table 5 .

Summary of adulthood consequences of bullying during childhood

A strong dose–response relationship exists between frequency of peer victimisation in childhood and adolescence and the risk of adulthood adversities. 39 For example, frequently bullied adolescents are twice as likely to develop depression in early adulthood compared with non-victimised peers, and is seen in both men and women. 41 Startlingly, the effects of this dose–response relationship seems to persist until at least 50 years of age. 33

The impact of childhood bully victimisation on adulthood mental health outcomes is staggering. Approximately 29% of the adulthood depression burden could be attributed to victimisation by peers in adolescence, 41 and bully victimisation by peers is thought to have a greater impact on adult mental health than maltreatment by adults, including sexual and physical abuse. 42 Finally, these consequences reach beyond the realm of health, as childhood bullying victimisation is associated with a lack of social relationships, economic hardship and poor perceived quality of life at age 50. 33

Bullying prevention

Until not long ago, being bullied was considered a normal rite of passage through which children must simply persevere. 3 However, the size and scale of its impact on child health, and later on adulthood health, are now clearly understood and render it a significant public health problem warranting urgent attention. 1 While parental and peer support are known to be protective against victimisation, regardless of global location, cultural norms or socioeconomic status, 43 structured programmes have been deployed at scale to prevent victimisation and its associated problems.

School-based interventions have been shown to significantly reduce bullying behaviour in children and adolescents. Whole-school approaches incorporating multiple disciplines and high levels of staff engagement provide the greatest potential for successful outcomes, while curriculum-based and targeted social skills training are less effective methods that may even worsen victimisation. 44 The most widely adopted approach is the Olweus Bullying Prevention Programme (OBPP), a comprehensive, school-wide programme designed to reduce bullying and achieve better peer relations among school-aged children. 9 However, despite its broad global uptake, meta-analyses of studies examining the effectiveness of the OBPP have shown mixed results across different cultures. 45–47

Cooperative learning, in which teachers increase opportunities for positive peer interaction through carefully structured, group-based learning activities in schools, is an alternative approach to bullying prevention that has recently gained traction and been shown to significantly reduce bullying and its associated emotional problems while enhancing student engagement and educational achievement. 48 Also housed within the educational environment, school-based health centres became popular in the USA in the 1990s and provided medical, mental health, behavioural, dental and vision care for children directly in schools, and have had some positive impacts on mitigating the prevalence and impact of bullying. 49 In the UK, school nurses act as liaisons between primary care and education systems, and are often the first to identify victims of bullying, although their numbers in the UK fell by 30% between 2010 and 2019. 50

Due to the link between sibling and peer bullying, there have been calls for bullying prevention interventions to be developed and made available to start in the home, and for general practitioners and paediatricians to routinely enquire about sibling bullying. 8

While countless cyberbullying prevention programmes, both offline and online, are marketed to educational institutions, only a small proportion have been rigorously evaluated. 51 Furthermore, as cyberbullying rarely induces negative impacts on child health independently, interventions to tackle these effects must also target traditional forms of bullying to have meaningful impact.

Addressing the global public health problem of bullying in childhood and adolescence is vital for the achievement of the Sustainable Development Goals. In recognition of this, UNESCO recently launched its first International Day Against Violence and Bullying at School, an annual event which aims to build global awareness about the problem’s scale, severity and need for collaborative action. 52 Meaningful progress on this problem is urgently needed to increase mental well-being and reduce the burden of mental illness in both children and adults globally. Suggestions for immediate action are briefly described in box 1 .

Actions needed to improve child health through the prevention of bullying

• Promote the importance of parental and peer support in the prevention of bully victimisation across families and schools.
• Educate health professionals about the consequences of childhood bullying and provide training and resources to allow identification, appropriate management and timely referral of such cases (see further).
• Develop and make widely available bullying prevention interventions that tackle sibling bullying in the home.
• Create and deploy whole-school cooperative learning approaches to reduce bullying within educational institutions.
• Address cyberbullying with evidence-based interventions that also tackle traditional forms of bullying.
• Increase awareness of the presentation and impacts of bullying on child health among primary care professionals.

What to do if you suspect childhood bullying

GPs should be prepared to consider bullying as a potential contributory factor in presentations of non-specific physical and mental health complaints from children. While GPs recognise their responsibility to deal with disclosures of childhood bullying and its associated health consequences, they often feel unable to adequately do so due to the constraints of time-pressured primary care consultations, and uncertainty around the specialist services to which such children can be appropriately referred. 53

Clear management and referral pathways for health professionals dealing with childhood bullying are lacking in both primary and secondary care. Local, national and online antibullying organisations, such as Ditch the Label 54 and the Anti-Bullying Alliance, 55 provide free advice for children affected by bullying, and their parents, teachers and health professionals, along with free online certified CPD training for anyone working with children. School nurses continue to act as liaisons between primary care and education systems 56 and should be central to the multidisciplinary management of childhood bullying. Finally, if bullying is considered to be contributory to childhood depression, child and adolescent mental health services, along with primary care practitioners and educational professionals, should work collaboratively to foster effective antibullying approaches. 57

Supplementary Material

Contributors: RA was the sole contributor to the work.

Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests: No, there are no competing interests.

Patient and public involvement: Patients and/or the public were not involved in the design, conduct, reporting or dissemination plans of this research.

Patient consent for publication: Not required.

Provenance and peer review: Commissioned; externally peer reviewed.

Data availability statement: Data sharing is not applicable as no datasets have been generated and/or analysed for this study.

• 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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Metrics details

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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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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Q Methodology as an Innovative Addition to Bullying Researchers’ Methodological Repertoire

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A Correction to this article was published on 18 July 2022

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The field of bullying research deals with methodological issues and concerns affecting the comprehension of bullying and how it should be defined. For the purpose of designing relevant and powerful bullying prevention strategies, this article argues that instead of pursuing a universal definition of what constitutes bullying, it may be of greater importance to investigate culturally and contextually bound understandings and definitions of bullying. Inherent to that shift is the transition to a more qualitative research approach in the field and a stronger focus on participants’ subjective views and voices. Challenges in qualitative methods are closely connected to individual barriers of hard-to-reach populations and the lack of a necessary willingness to share on the one hand and the required ability to share subjective viewpoints on the other hand. By reviewing and discussing Q methodology, this paper contributes to bullying researchers’ methodological repertoire of less-intrusive methodologies. Q methodology offers an approach whereby cultural contexts and local definitions of bullying can be put in the front. Furthermore, developmentally appropriate intervention and prevention programs might be created based on exploratory Q research and could later be validated through large-scale investigations. Generally, research results based on Q methodology are expected to be useful for educators and policymakers aiming to create a safe learning environment for all children. With regard to contemporary bullying researchers, Q methodology may open up novel possibilities through its status as an innovative addition to more mainstream approaches.

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Introduction

Bullying, internationally recognized as a problematic and aggressive form of behavior, has negative effects, not only for those directly involved but for anybody and in particular children in the surrounding environment (Modin, 2012 ). However, one of the major concerns among researchers in the field of bullying is the type of research methods employed in the studies on bullying behavior in schools. The appropriateness of using quantitative or qualitative research methods rests on the assumption of the researcher and the nature of the phenomena under investigation (Hong & Espelage, 2012 ). There is a need for adults to widen their understanding and maintain a focus on children’s behaviors to be able to provide assistance and support in reducing the amount of stress and anxiety resulting from online and offline victimization (Hellström & Lundberg, 2020 ). A crucial step for widening this understanding is an increased visibility of children’s own viewpoints. When the voices of children, particularly those of victims and perpetrators, but also those of bystanders are heard in these matters, effective support can be designed based specifically on what children want and need rather than what adults interpret and understand to be supporting the child (O’Brien, 2019 ). However, bullying victims and their perpetrators are hard-to-reach populations (Shaghaghi et al., 2011 ; Sydor, 2013 ) for a range of reasons. To name but a few, researchers perennially face difficulties regarding potential participants’ self-identification, the sensitivity of bullying topics, or the power imbalance between them and their young respondents. Furthermore, limited verbal literacy and/or a lack of cognitive ability of some respondents due to age or disability contribute to common methodological issues in the field. Nevertheless, and despite ethical restrictions around the immediate questioning of younger children or children with disabilities that prohibit researchers to perform the assessments with them directly, it would be ethically indefensible to not study a sensitive topic like bullying among vulnerable groups of children. Hence, the research community is responsible for developing valid and reliable methods to explore bullying among different groups of children, where the children’s own voices are heard and taken into account (Hellström, 2019 ). Consequently, this paper aims to contribute to bullying researchers’ methodological repertoire with an additional less-intrusive methodology, particularly suitable for research with hard-to-reach populations.

Historically, the field of bullying and cyberbullying has been dominated by quantitative research approaches, most often with the aim to examine prevalence rates. However, recent research has seen an increase in the use of more qualitative and multiple data collection approaches on how children and youth explain actions and reactions in bullying situations (e.g., Acquadro Maran & Begotti, 2021 ; Eriksen & Lyng, 2018 ; Patton et al., 2017 ). This may be translated into a need to more clearly understand the phenomenon in different contexts. As acknowledged by many researchers, bullying is considerably influenced by the context in which it occurs and the field is benefitting from studying the phenomenon in the setting where all the contextual variables are operating (see, e.g., Acquadro Maran & Begotti, 2021 ; Scheithauer et al., 2016 ; Torrance, 2000 ). Cultural differences in attitudes regarding violence as well as perceptions, attitudes, and values regarding bullying are likely to exist and have an impact when bullying is being studied. For this reason, listening to the voices of children and adolescents when investigating the nature of bullying in different cultures is essential (Hellström & Lundberg, 2020 ; Scheithauer et al., 2016 ).

In addition to studying outcomes or products, bullying research has also emphasized the importance of studying processes (Acquadro Maran & Begotti, 2021 ). Here, the use of qualitative methods allows scholars to not only explore perceptions and understandings of bullying and its characteristics, but also interpret bullying in light of a specific social context, presented from a specific internal point of view. In other words, qualitative approaches may offer methods to understand how people make sense of their experiences of the bullying phenomenon. The processes implemented by a qualitative approach allow researchers to build hypotheses and theories in an inductive way (Atieno, 2009 ). Thus, a qualitative approach can enrich quantitative knowledge of the bullying phenomenon, paying attention to the significance that individuals attribute to situations and their own experiences. It can allow the research and clinical community to better project and implement bullying assessment and prevention programs (Hutson, 2018 ).

Instead of placing qualitative and quantitative approaches in opposition, they can both be useful and complementary, depending on the purpose of the research (Acquadro Maran & Begotti, 2021 ). In their review of mixed methods research on bullying and peer victimization in school, Hong and Espelage ( 2012 ) underlined that instead of using single methods, mixed methods have the advantage of generating a deeper and more complex understanding of the phenomenon. By combining objective data with information about the personal context within which the phenomenon occurs, mixed methods can generate new insights and new perspectives to the research field (Hong & Espelage, 2012 ; Kulig et al., 2008 ; Pellegrini & Long, 2002 ). However, Hong and Espelage ( 2012 ) also argued that mixed methods can lead to divergence and contradictions in findings that may serve as a challenge to researchers. For example, Cowie and Olafsson ( 2000 ) examined the impact of a peer support program to reduce bullying using both quantitative and qualitative data collection methods. While a quantitative approach collecting pre-test and post-test data showed no effects in decreasing bullying, interviews with peer supporters, students, and potential users of the intervention revealed the strength of the program and its positive impact, in light of students and peer supporters. Thus, rather than rejecting the program, the divergence in findings leads to a new rationale for modifying the program and addressing its limits.

Understandably, no single data collection approach is complete but deals with methodological issues and concerns affecting the research field and the comprehension of bullying. To provide a robust foundation for the introduction of an additional methodological perspective in bullying research, common data collection methods and methodological issues are outlined below.

Methodological Issues in Bullying Research

Large-scale cohort studies generating statistical findings often use R-statistics, descriptive analyses, averages, and correlations to estimate and compare prevalence rates of bullying, to explore personality traits of bullies and victims, and the main correlates and predictors of the phenomenon. Nevertheless, large-scale surveys have a harder time examining why bullying happens (O’Brian, 2019 ) and usually do not give voice to study objects’ own unique understanding and experiences (Acquadro Maran & Begotti, 2021 ; Bosacki et al., 2006 ; Woodhead & Faulkner, 2008 ). Other concerns using large-scale surveys include whether a definition is used or the term bullying is operationalized, which components are included in the definition, what cut-off points for determining involvement are being used, the lack of reliability information, and the absence of validity studies (Swearer et al., 2010 ).

Other issues include the validity in cross-cultural comparisons using large-scale surveys. For example, prevalence rates across Europe are often established using standard questionnaires that have been translated into appropriate languages. Comparing four large-scale surveys, Smith et al. ( 2016 ) found that when prevalence rates by country are compared across surveys, there are some obvious discrepancies, which suggest a need to examine systematically how these surveys compare in measuring cross-national differences. Low external validity rates between these studies raise concerns about using these cross-national data sets to make judgments about which countries are higher or lower in victim rates. The varying definitions and words used in bullying research may make it difficult to compare findings from studies conducted in different countries and cultures (Griffin & Gross, 2004 ). However, some argue that the problem seems to be more about inconsistency in the type of assessments (e.g., self-report, nominations) used to measure bullying rather than the varying definition of bullying (Jia & Mikami, 2018 ). When using a single-item approach (e.g., “How often have you been bullied?”) it is not possible to investigate the equivalency of the constructs between countries, which is a crucial precondition for any statistically valid comparison between them (Scheithauer et al., 2016 ). Smith et al. ( 2016 ) conclude that revising definitions and how bullying is translated and expressed in different languages and contexts would help examine comparability between countries.

Interviews, focus groups and the use of vignettes (usually with younger children) can all be regarded as suitable when examining youths’ perceptions of the bullying phenomenon (Creswell, 2013 ; Hellström et al., 2015 ; Hutson, 2018 ). They all allow an exploration of the bullying phenomenon within a social context taking into consideration the voices of children and might solve some of the methodological concerns linked to large-scale surveys. However, these data collection methods are also challenged by individual barriers of hard-to-reach populations (Ellard-Gray et al., 2015 ) and may include the lack of a necessary willingness to share on the one hand and the required ability to share subjective viewpoints on the other hand.

Willingness to Share

In contrast to large-scale surveys requiring large samples of respondents with reasonable literacy skills, interviews, which may rely even heavier on students’ verbal skills, are less plentiful in bullying research. This might at least partially be based on a noteworthy expectation of respondents to be willing to share something. It must be remembered that asking students to express their own or others’ experiences of emotionally charged situations, for example concerning bullying, is particularly challenging (Khanolainen & Semenova, 2020 ) and can be perceived as intrusive by respondents who have not had the opportunity to build a rapport with the researchers. This constitutes a reason why research in this important area is difficult and complex to design and perform. Ethnographic studies may be considered less intrusive, as observations offer a data collection technique where respondents are not asked to share any verbal information or personal experiences. However, ethnographical studies are often challenging due to the amount of time, resources, and competence that are required by the researchers involved (Queirós et al., 2017 ). In addition, ethnographical studies are often used for other purposes than asking participants to share their views on certain topics.

Vulnerable populations often try to avoid participating in research about a sensitive topic that is related to their vulnerable status, as recalling and retelling painful experiences might be distressing. The stigma surrounding bullying may affect children’s willingness to share their personal experiences in direct approaches using the word bullying (Greif & Furlong, 2006 ). For this reason, a single-item approach, in which no definition of bullying is provided, allows researchers to ask follow-up questions about perceptions and contexts and enables participants to enrich the discussion by adjusting their answers based on the suggestions and opinions of others (Jacobs et al., 2015 ). Generally, data collection methods with depersonalization and distancing effects have proven effective in research studying sensitive issues such as abuse, trauma, stigma and so on (e.g., Cromer & Freyd, 2009 ; Hughes & Huby, 2002 ). An interesting point raised by Jacobs and colleagues ( 2015 ) is that a direct approach that asks adolescents if they have ever experienced cyberbullying may lead to a poorer discussion and an underestimation of the phenomenon. This is because perceptions and contexts often differ between persons and because adolescents do not perceive all behaviors as cyberbullying. The same can be true for bullying taking place offline (Hellström et al., 2015 ).

When planning research with children, it is important to consider the immediate research context as it might affect what children will talk about (Barker & Weller, 2003 ; Hill, 2006 ; Punch, 2002 ). In addition to more material aspects, such as the room or medium for a dialog, the potential power imbalance created in an interview situation between an adult researcher and the child under study adds to a potentially limited willingness to share. Sitting in front of an adult interviewer may create situations where children may find it difficult to express their feelings and responses may be given based on perceived expectations (Punch, 2002 ). This effect is expected to be even stronger when studying a sensitive topic like bullying. Therefore, respondents may provide more honest responses when they are unaware that the construct of bullying is being assessed (Swearer et al., 2010 ). Moreover, in research about sensitive topics, building a strong connection with participants (Lyon & Carabelli, 2016 ), characterized by mutual trust, is vital and might overcome the initial hesitation to participate and share personal accounts. Graphic vignettes have successfully been used as such unique communication bridges to collect detailed accounts of bullying experiences (Khanolainen & Semenova, 2020 ). However, some reluctance to engage has been reported even in art-based methods, usually known to be effective in research with verbally limited participants (Bagnoli, 2009 ; Vacchelli, 2018 ) or otherwise hard-to-reach populations (Goopy & Kassan, 2019 ). Most commonly, participants might not see themselves as creative or artistic enough (Scherer, 2016 ). In sum, the overarching challenging aspect of art-based methods related to a limited willingness to share personal information is an often-required production of some kind.

Ability to Share

Interviews as a data collection method demand adequate verbal literacy skills for participants to take part and to make their voices heard. This may be challenging especially for younger children or children with different types of disabilities. There is a wide research gap in exploring the voices of younger children (de Leeuw et al., 2020 ) and children with disabilities (Hellström, 2019 ) in bullying research. Students’ conceptualization of bullying behavior changes with age, as there are suggestions that younger students tend to focus more on physical forms of bullying (such as fighting), while older students include a wider variety of behaviors in their view of bullying, such as verbal aggression and social exclusion (Hellström & Lundberg, 2020 ; Monks & Smith, 2006 ; Smith et al., 2002 ; Hellström et al., 2015 ). This suggests that cognitive development may allow older students to conceptualize bullying along a number of dimensions (Monks & Smith, 2006 ). Furthermore, the exclusion of the voices of children with disabilities in bullying research is debated. It is discussed that the symptoms and characteristics of disabilities such as Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD), i.e., difficulties understanding the thoughts, emotions, reactions, and behaviors of others, which makes them the ideal target for bullying may also make it hard for them to perceive, verbalize and report bullying and victimization in a reliable and valid manner (Slaughter et al., 2002 ). It may also be difficult for children with ASD to differentiate between playful teasing among friends and hurtful teasing. While many argue that children with ASD are unreliable respondents of victimization, under-reporting using parental and teacher reports has been shown in research on bullying (Waters et al., 2003 ; Bradshaw et al., 2007 ) and child maltreatment (Compier-de Block et al., 2017 ).

This Paper’s Contribution

The present paper contributes to this special issue about qualitative school bullying and cyberbullying research by reviewing and discussing Q methodology as an innovative addition to more mainstream approaches in the field. Despite the fact that Q methodology had been proclaimed as “especially valuable […] in educational psychology” (Stephenson, 1935 , p. 297) nearly 90 years ago, the approach has only relatively recently been described as an up-and-coming methodological choice of educational researchers interested in participants’ subjective views (Lundberg et al., 2020 ). Even though, Q enables researchers to investigate and uncover first-person accounts, characterized by a high level of qualitative detail in its narrative description, only few educational studies have applied Q methodology to investigate the subject of bullying (see Camodeca & Coppola, 2016 ; Ey & Spears, 2020 ; Hellström & Lundberg, 2020 ; Wester & Trepal, 2004 ). Within the wider field of bullying, Q methodology has also been used to investigate workplace bullying in hospitals (Benmore et al., 2018 ) and nursing units (Choi & Lee, 2019 ). By responding to common methodological issues outlined earlier, the potential Q methodology might have for bullying research is exemplified. A particular focus is thereby put on capturing respondents’ subjective viewpoints through its less-intrusive data collection technique. The present paper closes by discussing implications for practice and suggesting future directions for Q methodological bullying and cyberbullying research, in particular with hard-to-reach populations.

An Introduction to Q Methodology

Q as a methodology represents a larger conceptual and philosophical framework, which is by no means novel. However, the methodology has largely been marginalized since its invention in the 1930s by William Stephenson (Brown, 2006 ). As a research technique, it broadly consists of three stages that each can be split into a set of steps (see Fig.  1 ); (1) carefully constructing a data collection instrument, (2) collecting data, and (3) analyzing and interpreting data. The central, and therefore also best-known feature of Q methodology is Q sorting to collect data in the form of individual Q sorts. Participants thereby rank order a sample of self-referent stimuli along a continuum and in accordance with a central condition of instruction; for example, children might be asked to what extent particular scenarios describe bullying situations (Hellström & Lundberg, 2020 ) or they might be instructed to sort illustrated ways to resolve social exclusion according to the single face-valid dimension of “least preferred to most preferred” (de Leeuw et al., 2019 ). As soon as all items are placed on a most often bell-shaped distribution grid (see Fig.  2 ), participants might be asked to elaborate on their item placement to add a further layer of qualitative data. Such so-called post-sorting activities might include written annotations of items placed at the ends of the continuum or form the structure for interviews (Shemmings & Ellingsen, 2012 ).

Three stages and six steps of a Q methodological research process (adapted from Lundberg et al., 2020 )

A vertical distribution grid with two examples of face-valid dimensions. This rather small distribution is designed for a 16-item Q sample and therefore contains 16 slots to be filled

For participants to provide their subjective viewpoint toward a specific topic in the form of a Q sort, researchers need to construct the data collection instrument, called Q sample. Such a set of stimulus items is a representative sample from all possible items concerning the topic, which in the technical language in Q methodology is called concourse (Brown, 1980 ). The development of such a concourse about the topic at hand might stem from a wide range of sources, including academic literature, policy documents, informal discussions, or media (Watts & Stenner, 2012 ). Moreover, in a participatory research fashion, participants’ statements can be used verbatim to populate the concourse. This way, children’s own words and voices are part of the data collection instrument. A sophisticated structuring process then guides the researchers in selecting a Q sample from all initial statements in the concourse (Brown et al., 2019 ). In Hellström & Lundberg ( 2020 ), a literature review on findings and definitions of bullying, stemming from qualitative and quantitative research, provided the initial concourse. A matrix consisting of different modes, types, and contexts of bullying supported the construction of the final Q sample.

As a student and assistant of Charles Spearman, Q’s inventor Stephenson was well-informed about R-methodological factor analysis based on correlating traits. The British physicist-psychologist however inverted the procedure and thereby suggested correlating persons to study human behavior (Stephenson, 1935 , 1953 ). A detailed description of the statistical procedure of Q factor analysis is outside the scope of this article, especially as the focus of this special issue is put on qualitative research methods. In addition, with its focus on producing quantifiable data from highly subjective viewpoints (Duncan & Owens, 2011 ), it is safe to say that Q methodology is more often treated as a qualitative methodology with quantitative features than the other way around. Nevertheless, it is important to note that through factor analysis, individual viewpoints are clustered into so-called factors, representing shared viewpoints if they sufficiently correlate (see Fig.  3 ). In that sense, no outside criterion is applied to respondents’ subjective views and groups of similar sorts (factors/viewpoints) are not logically constructed by researchers. Instead, they inductively emerge through quantitative analysis, which helps “in learning how the subject, not the observer, understands and reacts to items” (Brown, 1980 , p. 191). This procedure allowed Hellström & Lundberg ( 2020 ) to describe two age-related definitions of bullying. Older students in particular perceived offline bullying as more severe than online bullying and their younger peers were mostly concerned about bullying situations taking place in a private setting.

A simplified illustration of Q factor analysis (step 5). Arrow A represents the statistical correlation of all collected individual viewpoints. Arrow B represents inverted factor analysis as the data condensation technique resulting in a manageable number of shared viewpoints

Despite its quantitative analysis, participant selection in Q methodology is largely in line with purposive sampling with small numbers. It, therefore, represents a major difference to R methodological research, where larger opportunity samples are desired. In Q methodology, participants are selected strategically in line with those who might likely “express a particularly interesting or pivotal point of view” (Watts & Stenner, 2012 , p. 71). Investigating a large number of similar respondents might therefore simply lead to more participants correlating with the same shared viewpoint and not necessarily add new viewpoints. In recent educational Q research, the average number of participants is 37 (Lundberg et al., 2020 ). Many studies have however been successfully conducted with considerably fewer, as for example illustrated by Benmore et al. ( 2018 ), who described three distinctive groups within their sample of 12 participants.

To illustrate Q methodology in bullying research, our small scale and exploratory study published in Educational Research (Hellström & Lundberg, 2020 ) serves as a practical example. The purpose of that study was to investigate definitions of bullying from young people’s perspectives and was guided by the following research question: What are students’ subjective viewpoints on bullying behavior? . In Table 1 , we describe the methodological steps introduced in Fig.  1 .

Q Methodology’s Response to the Methodological Issues Outlined Above

Above, methodological issues have been structured according to participants’ willingness and ability to share their subjective viewpoints and lived experiences. In order to respond to those, the present section focuses on Q methodology’s built-in features. A particularly important component is Q sorting as the central data collection technique that facilitates participants’ communicability of their subjectivity.

Engaging participants in a card sorting activity encourages students to express their viewpoints and thereby making their voices heard in a less-intrusive way, despite being cognitively engaging. Because they are asked to rank-order a predetermined sample of items, ideally in accordance with a carefully selected condition of instruction, they do not need to report or disclose their own personal experiences and are not obliged to actively create anything, as criticized in arts-based research. In that sense, Q methodology can be seen as a method to collect sensitive data in a more depersonalized way. This provides the basis to find a vital “balance between protecting the child and at the same time allowing access to important information” (Thorsen & Størksen, 2010 , p. 9), which is of particular importance for research about emotionally charged situations or sensitive topics as it is often the case with bullying (Ellingsen et al., 2014 ). Sharing their view through a fixed collection of items certainly makes participation in research for young children or otherwise hard-to-reach respondents less intimidating and results can be expected to be more truthful.

In comparison to researchers applying ethnographical approaches, who immerse themselves into the studied context to understand and document patterns of social behavior and interaction in a less intrusive way, Q methodologists are not expected to observe their participants. Even though the purpose of these approaches is different, being part of the culture under investigation or at least involving community partners in Q methodological research can still be useful for at least two reasons. As mentioned in Table 1 featuring the study by Hellström & Lundberg ( 2020 ), the pupils’ physical education and health teacher guided an exploratory and informal discussion and thereby provided valuable insights into the participants’ lifeworld that informed the Q sample. In addition to better tailoring the sample to the participants and making them feel seen and heard, the community partner could help build a positive rapport between participants and researchers, which otherwise requires much work. During the actual data collection exercise, participants were already familiar with the topic, well-informed about the research project, and perceived the sorting activity as an integral part of their lesson.

The play-like character of Q sorting has as well been reported as a positive influence on respondents’ motivation to participate (de Leeuw et al., 2019 ) and Wright ( 2013 ) mentions the engaging atmosphere created between the sorter and the researcher. The combination of these features allows assuming that obtaining participants’ viewpoint through Q methodology is less threatening than for example sitting in front of an interviewer and providing on-spot oral responses about a sensitive topic.

Q sorting as a data collection instrument represents a major advantage for Q methodological research with participants that do not (yet) possess sufficient verbal literacy and/or cognitive ability to process receptive or expressive language. To illustrate, two features are outlined here: first the flexibility of the Q sample, say the set of stimuli and second the fact that primary data collection in Q methodology is based on a silent activity.

Written statements are undoubtedly the most common type of items used in Q methodology and the number of such in a Q sample greatly varies. In recent research reporting from compulsory education settings, the average Q sample consists of about 40 items (Lundberg et al., 2020 ). In addition to applying a smaller set of items, their complexity can easily be adapted in line with participants’ receptive literacy skills and their developmental stage to facilitate understanding. Statements can for example be shortened or they can start identically to make the activity less taxing (Watts & Stenner, 2012 ). A different approach to cater to limited verbal literacy is the use of images instead of written statements. Constructing a visual Q sample might be more challenging for the researcher, in particular, if images are carefully selected and culturally tailored, meaning that they are clear, appealing and without too many details (Thorsen & Størksen, 2010 ). It might nevertheless be worth it, as such items provide a powerful tool to elicit viewpoints from otherwise marginalized or hard-to-reach research participants. Combes and colleagues ( 2004 ) for example, created a 37-item-Q sample with intellectually disabled participants’ own pictures to evaluate the planning of activities and de Leeuw et al. ( 2019 ) have used 15 images of hypothetical scenarios of social exclusion in a study with primary school pupils. Furthermore, as illustrated by Allgood and Svennungsen ( 2008 ) who photographed their participant’s own sculptures, Q samples consisting of objects (e.g., toys) or symbols (emojis) might be other options to investigate issues about bullying and cyberbullying without using text.

In addition to adaptations to the data collection instrument, the sorting process is usually carefully introduced and illustrated. Researchers might want to go through the entire Q sample to ensure the participants are able to discriminate each item (Combes et al., 2004 ). Even with adult participants without any cognitive impairments, it is suggested to pre-sort items into three provisional categories (Watts & Stenner, 2012 ). Two categories represent the respective ends of the continuum in the distribution grid and might be labeled and. Any items the sorter feels insecure or neutral about, are moved to the third category, which receives a question mark (?) for the sake of this exercise. During the actual rank-ordering process, the participants start to allocate items to one of the ends of the continuum (the top of the distribution grid in Fig.  2 ) with cards from the ☺ category and work themselves toward the center of the distribution grid. The process continues with items in the ☹ category, which are placed from the opposite end of the continuum toward the center. Any free spots are then filled with the remaining items in the (?) category. The graphic display of their viewpoint has been experienced as enabling for self-reflection (Combes et al., 2004 ) and might be utilized for a further discussion about the topic, for example as part of teacher workshops (Ey & Spears, 2020 ).

Meeting children at an appropriate cognitive level through adaptations of the data collection instrument and procedure, is not only a promising and important ethical decision in order to show young participants the respect they deserve (Thorsen & Størsken, 2010 ), but makes the sorting procedure a pleasant experience for the participants (John et al., 2014 ). Unsurprisingly, Q methodology has been described as a respectful, person-centered, and therefore child-friendly approach (Hughes, 2016 ).

Limitations

Despite its potential for bullying research, Q methodology has its limitations. The approach is still relatively unknown in the field of bullying research and academic editors’ and reviewers’ limited familiarity with it can make publishing Q methodological research challenging. Notwithstanding the limitation of not being based on a worked example, the contribution of the present paper hopefully fulfills some of the needed spadework toward greater acceptability within and beyond a field, which has only seen a limited number of Q methodological research studies. Because the careful construction of a well-balanced Q sample is time-consuming and prevents spontaneous research activities, a core set of items could be created to shorten the research process and support the investigation of what bullying means to particular groups of people. Such a Q sample would then have to be culturally tailored to fit local characteristics. Finally, the present paper is limited in our non-comprehensive selection of data collection methods as points of comparison when arguing for a more intensive focus on Q methodology for bullying research.

Future Research Directions

The results of Q methodological studies based on culturally tailored core Q samples would allow the emergence of local definitions connected to the needs of the immediate society or school context. As illustrated by Hellström & Lundberg ( 2020 ), even within the same school context, and with the same data collection instrument (Q sample), Q methodology yielded different, age-related definitions of bullying. Or in Wester and Trepal ( 2004 ), Q methodological analysis revealed more perceptions and opinions about bullying than researchers usually mention. Hence, Q methodology offers a robust and strategic approach that can foreground cultural contexts and local definitions of bullying. If desired, exploratory small-scale Q research might later be validated through large-scale investigations. A further direction for future research in the field of bullying research is connected to the great potential of visual Q samples to further minimize research participation restrictions for respondents with limited verbal or cognitive abilities.

Implications for Practice

When designing future bullying prevention strategies, Q methodology presents a range of benefits to take into consideration. The approach offers a robust way to collect viewpoints about bullying without asking participants to report their own experiences. The highly flexible sorting activity further represents a method to investigate bullying among groups that are underrepresented in bullying research, such as preschool children (Camodeca & Coppola, 2016 ). This is of great importance, as tackling bullying at an early age can prevent its escalation (Alsaker & Valkanover, 2001 ; Storey & Slaby, 2013 ). Making the voices of the hard-to-reach heard in an unrestricted way and doing research with them instead of about them (de Leeuw et al., 2019 ; Goopy & Kassan, 2019 ) is expected to enable them to be part of discussions about their own well-being. By incorporating social media platforms, computer games, or other contextually important activities when designing a Q sample, the sorting of statements in Hellström & Lundberg, ( 2020 ) turned into a highly relevant activity, clearly connected to the reality of the students. As a consequence, resulting policy creation processes based on such exploratory studies should lead to more effective interventions and bullying prevention programs confirming the conclusion by Ey and Spears ( 2020 ) that Q methodology served as a great model to develop and implement context-specific programs. Due to the enhanced accountability and involvement of children’s own voices, we foresee a considerable increase in implementation and success rates of such programs. Moreover, Q methodology has been suggested as an effective technique to evaluate expensive anti-bullying interventions (Benmore et al., 2018 ). Generally, research results based on exploratory Q methodology that quantitatively condensates rich data and makes commonalities and diversities among participants emerge through inverted factor analysis are expected to be useful for educators and policymakers aiming to create a safe learning environment for all children. At the same time, Q methodology does not only provide an excellent ground for participatory research, but is also highly cost-efficient due to its status as a small-sample approach. This might be particularly attractive, when neither time nor resources for other less-intrusive methodological approaches, such as for example ethnography, are available. Due to its highly engaging aspect and great potential for critical personal reflection, Q sorting might be applied in classes regardless of representing a part of a research study or simply as a learning tool (Duncan & Owens, 2011 ). Emerging discussions are expected to facilitate and mediate crucial dialogs and lead toward collective problem-solving among children.

The use of many different terminologies and different cultural understandings, including meaning, comprehension, and operationalization, indicates that bullying is a concept that is difficult to define and subject to cultural influences. For the purpose of designing relevant and powerful bullying prevention strategies, this paper argues that instead of pursuing a universal definition of what constitutes bullying, it may be of greater importance to investigate culturally and contextually bound understandings and definitions of bullying. Although the quest for cultural and contextual bound definitions is not new in bullying research, this paper offers an additional method, Q methodology, to capture participants’ subjective views and voices. Since particularly the marginalized and vulnerable participants, for example, bullying victims, are usually hard to reach, bullying researchers might benefit from a methodological repertoire enriched with a robust approach that is consistent with changes in methodological and epistemological thinking in the field. In this paper, we have argued that built-in features of Q methodology respond to perennial challenges in bullying research connected to a lack of willingness and limited ability to share among participants as well as studying bullying as a culturally sensitive topic. In summary, we showcased how Q methodology allows a thorough and less-intrusive investigation of what children perceive to be bullying and believe that Q methodology may open up novel possibilities for contemporary bullying researchers through its status as an innovative addition to more mainstream approaches.

Availability of Data and Material

Not applicable.

Code Availability

Change history, 18 july 2022.

A Correction to this paper has been published: https://doi.org/10.1007/s42380-022-00135-9

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Lundberg, A., Hellström, L. Q Methodology as an Innovative Addition to Bullying Researchers’ Methodological Repertoire. Int Journal of Bullying Prevention 4 , 209–219 (2022). https://doi.org/10.1007/s42380-022-00127-9

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Bullying and Cyberbullying

Introduction, ebooks + books, suggested websites.

• What is bullying?

Bullying is unwanted, aggressive behavior among school aged children that involves a real or perceived power imbalance. The behavior is repeated, or has the potential to be repeated, over time. Bullying includes actions such as making threats, spreading rumors, attacking someone physically or verbally, and excluding someone from a group on purpose.

Cyberbullying   is the use of electronic communication (cell phone, computer, tablet) to bully a person by sending messages of an intimidating or threatening nature.

stopbullying.gov

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• Frequency of Bullying
• Possible Warning Signs that a Child is being Bullied
• Get Help for Bullying
• Nebraska State Laws

In 2015, about 21 percent of students ages 12–18 reported being bullied at school during the school year. Of students ages 12–18, about 13 percent reported that they were made fun of, called names, or insulted; 12 percent reported being the subject of rumors; 5 percent reported that they were pushed, shoved, tripped, or spit on; and 5 percent reported being excluded from activities on purpose. Additionally, 4 percent of students reported being threatened with harm, 3 percent reported that others tried to make them do things they did not want to do, and 2 percent reported that their property was destroyed by others on purpose.

In 2015, a higher percentage of female than of male students ages 12–18 reported being bullied at school during the school year (23 vs. 19 percent), as well as being the subject of rumors (15 vs. 9 percent). In contrast, a higher percentage of male than of female students reported being threatened with harm (5 vs. 3 percent).

Higher percentages of Black students (25 percent) and White students (22 percent) than of Hispanic students (17 percent) reported being bullied at school in 2015. The percentage of students who reported being made fun of, called names, or insulted was also higher for Black students (17 percent) and White students (14 percent) than for Hispanic students (9 percent). The percentage of students who reported being the subject of rumors was higher for Black students (14 percent), White students (13 percent), and Hispanic students (10 percent) than for Asian students (5 percent).

A higher percentage of students in grade 6 than of students in grades 8 through 12 reported being bullied at school during the school year. In 2015, about 31 percent of 6th-graders reported being bullied at school, compared with 22 percent of 8th-graders, 19 percent of 9th-graders, 21 percent of 10th-graders, 16 percent of 11th-graders, and 15 percent of 12th-graders. In addition, a higher percentage of 7th-graders (25 percent) than of 11th- and 12th-graders reported being bullied at school. The percentage was also higher for 8th- and 10th-graders than for 12th-graders. No measurable differences were observed in the percentage of students who reported being bullied at school by urbanicity or between those in public and private schools.

National Center for Education 

• Comes home with torn, damaged, or missing pieces of clothing
• Has unexplained cuts, bruises, and scratches
• Has few, if any friends, with whom he or she spends time
• Seems afraid of going to school, walking to and from school, riding the school bus, or taking part in organized activities with peers
• Takes a long, "illogical" route when walking to or from school
• Has lost interest in school work or suddenly begins to do poorly in school
• Appears sad, moody, teary, or depressed when he or she comes home
• Complains frequently of headaches, stomaches, or other physical ailments
• Has trouble sleeping or has frequent bad dreams
• Experiences a loss of appetite
• Appears anxious and suffers from low self-esteem

   stopbullying.gov

If you are bullied or see bullying, you may feel pretty helpless. But there are things you can do, and you are not alone! Talk to your parents or guardians, or to other trusted adults, such as a teacher or school nurse.

Some people worry that reporting a bully is tattling. The truth is that talking to an adult is the responsible thing to do. And adults may be able to help without the bully knowing how they learned about the problem.

If you are bullied, remember that the person who bullies is wrong — not you! If you see other kids being bullied, they need your help. And you might also be helping the bully, who may have problems that can be worked through with an adult.

girlshealth.gov

GET HELP NOW

Bullying can affect you in many ways. You may lose sleep or feel sick. You may want to skip school. You may even be thinking about suicide. If you are feeling hopeless or helpless or know someone that is, please call the  LIFELINE  at 1-800-273-TALK (8255).

The Nebraska state laws that pertain to bullying:

• Nebraska  Revised Statutes §79-267 – Student conduct constituting grounds for long-term suspension, expulsion, or mandatory reassignment; enumerated; alternatives for  truant or tardy students
• Nebraska  Revised Statutes §79-2,137 – School district; development and adoption of bullying prevention and education policy; review

Nebraska Legislature

Explore library databases .

Discover eBook collections or find print books/materials through the catalog for each campus:

American Library Association GLBRTR: S peaking out against bullying.

American Psychological Association Bullying article from the American Psychological Association.

Bully Prevention Guide for Educators

An educators guide to combat bullying and bully prevention.

Cyberbullying & Internet Harassment

Prevent cyberbullying and Internet harassment/

Medline Plus Bullying article from Medline Plus.

Nebraska Department of Education Bullying prevention article from the Nebraska Department of Education

See a Bully, Stop a Bully, Make a Difference Bullying Prevention

StopBullying Provides information from various government agencies on what bullying is, what  cyberbullying  is, who is at risk, and how you can prevent and respond to bullying.

Stop Bullying Now Research-based strategies for reducing bullying in schools.

ThinkB4YouSpeak Words have consequences. Know the effects of verbal bullying.

• What's Cyberbulling?

It's an unfortunate truth of the internet: Some online spaces can be full of negative, rude, or downright mean behavior. But what kinds of behaviors qualify as cyberbullying? Help your students learn what is -- and what isn't -- cyberbullying, and give them important tools they'll need to combat the problem.

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Chapter 1 INTRODUCTION BACKGROUND OF THE STUDY

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• Bullying in School Research Paper

This sample bullying research paper on bullying on school campuses features: 3800 words (approx. 12 pages) and a bibliography with 12 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.

Most adults can remember bullies and victims of bullying from when they were in school. The impact of these events does not stop when students graduate; these events can have long-lasting effects on bullies, victims, and even students who only watched bullying occur. The term bullying refers to a specific type of peer aggression that is intentional, repeated, and involves an imbalance of power between the bully and the victim. Suggestions for intervention approaches at the individual, classroom, and school wide level are provided in this research paper.

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• Introduction
• What Is Bullying?
• How Common Is Bullying on School Campuses?
• Who Are the Bullies?
• Who Are the Victims?
• What Are the Effects?
• What Can Be Done?
• The Special Role of Bystanders
• Implications

1. Introduction

Bullying in school settings was once thought of as a normal, transient part of growing up. It was considered to have little lasting impact, and the best advice to the victim was to fight back or turn the other cheek. Beginning in the late 1970s and through the 1980s, pioneering research began to shed light on this behavior and to dispel common myths. Expanded studies during the 1990s started to examine bullying as a serious form of aggression and considered the possible impacts of this experience on the bully, his or her victim, and even bystanders. The results of these investigations have shown that not only is bullying a common occurrence but also it has lasting effects on all involved.

The pioneer work on bullying was conducted in the mid-1980s by Dan Olweus, a Norwegian psychologist commissioned to conduct a large-scale study on the topic. Norway’s interest in bullying was driven by a string of suicides committed by adolescent boys who had been victims of severe bullying. These efforts were followed by a number of other investigations conducted by researchers in England (Smith), Canada (Peppler), and Australia (Slee, Rigby, and Griffiths). Detailed studies in the United States did not begin to focus seriously on bullying until later, primarily in response to several deadly school shootings that were perpetrated by students who were thought, at least in part, to be seeking revenge for past abuse by school bullies.

2. What Is Bullying?

Bullying is defined as aggression between peers that has three essential elements: It is intentional, it is repeated over time, and there is an imbalance of power between the bully and the victim. This definition (developed by Olweus) distinguishes bullying from other types of peer aggression, such as one-time fights or friendly teasing between friends. It is these three defining characteristics that make bullying potentially so damaging. Victims are intimidated or hurt repeatedly by someone who is more powerful; consequently, they may learn to accept the victim role and come to distrust others. Ongoing victimization can have a serious impact on the development and well-being of children who are bullied. In addition, bullies who abuse their power (e.g., physical strength and popularity) to single out and intimidate peers potentially become involved in a pattern of using this social control strategy throughout their lives. As such, bullying is considered an exploitative relationship between peers rather than a one-time event.

Despite relative consensus among researchers as to what constitutes bullying, this clarity does not always extend into practice. Many of the most commonly used measures of bullying do not specify that, by definition, bullying is a series of intentional, repeated acts of aggression that occur in peer relationships in which there is an imbalance of power. The omission of a precise definition in research is problematic because, without these specifications, studies may overreport the prevalence of bullying when students are asked about general aggression. In addition, when educators and others think of bullying as a specific event, rather than a series of encounters, interventions may be more punitive and less focused on changing the process of interactions between peers.

In the past, bullying was considered to be physical acts of aggression that primarily occurred between boys. It is now recognized that bullying can take many forms, including ongoing physical abuse (e.g., hitting and pushing), verbal abuse (e.g., taunting and name-calling), social manipulation (e.g., rumor spreading and purposeful exclusion from activities), and attacks on property (e.g., breaking or stealing belongings). One common distinction is between direct bullying (i.e., physical aggression or chronic teasing that occur overtly between the bully and the victim) and indirect bullying (i.e., gossip or rumors targeting the victim that occur between the bully and a third party). Recognition that bullying can include these additional behaviors has broadened the definition and it is now more inclusive of types of aggression that occurs more frequently between girls (e.g., gossip and exclusion). Regardless of its specific form, all bullying involves the repeated abuse of a student by another more powerful student who wants to harm the victim. The bully, in fact, comes to enjoy exercising power over his or her selected target. It is a myth that bullies abuse others to compensate for low self-esteem. In fact, they often have positive self-esteem, may be popular with their peers, and inappropriately come to enjoy having power over others.

3. How Common Is Bullying in School?

The incidence of bullying varies from country to country and school to school within countries. However, it is certain that bullying occurs at all comprehensive schools across all grade levels. Students consistently report that most bullying incidents take place away from an adult presence at the school, including on school playgrounds, during or between class, and walking to and from school. In addition, bullying is often unreported by the parties involved, primarily because the bullies wish to avoid punishment and the victims wish to avoid further aggravating the bully or prompting retaliation—bullies intimidate their victims. Current research practices for collecting information utilize a combination of teacher and/or parent reports as well as student self-reports and student identification or nomination. Because researchers use various methods, a definitive estimate of the prevalence of bullying in schools is difficult to obtain. It is also probable that the available statistics underestimate the extent and scope of this problem.

A 1998 survey of 15,686 students in the United States conducted by the World Health Organization found that 16% of boys and 11% of girls felt bullied, with 23% of boys and 11% of girls admitting to bullying other students. Research has also found an association between the frequency of short-term and long-term victimization. For example, in a 2003 study of Norwegian victims of bullying, Solberg and Olweus found that bullying that persisted over a period of 1 month or more was more frequently reported than short-term bullying events. In other words, bullying is often a chronic experience for its victims.

There are some developmental differences in bullying. A 1993 study by Whitney and Smith found that the occurrence of bullying decreases as students get older, with the highest rates occurring in the upper elementary and middle schools and the lowest rates in secondary schools. This is suspected to be due, in part, to increased social and physical maturity. By the time a child reaches secondary school, there is a decreased presence of older, more powerful peers who can single out and pick on smaller, weaker peers.

In addition to age differences, there are also gender differences in bullying trends. As mentioned previously, boys are more likely to report both bullying and victimization; however, girls are more likely than boys to experience indirect bullying as opposed to direct bullying. Although the consequences of social rejection and isolation associated with indirect bullying may not be immediately obvious, it may produce negative long-term effects on the victim’s social development. Finally, female victims are more likely to tell a female peer about their experience, whereas males are more likely to turn to a trusted adult.

4. Who Are The Bullies?

Despite the increased awareness of female bullying, several researchers have found that most bullies tend to be boys or groups of boys. The results of studies designed to identify the etiology of bullying behavior have been mixed. Some experts suggest that bullies act to exert power over others with the primary purpose of gaining more power. Alternatively, other experts draw upon a social learning model in which bullying is a reaction to being bullied by other children or a reaction to a challenging home environment with associated authoritarian discipline experiences.

In cases in which bullies appear to be the popular children with no history of victimization, the bully behavior may be somewhat puzzling. In these cases, experts have suggested that bullying is a reaction to some underlying need for power. Bullies are rewarded for exerting power over others by gaining greater power, which reinforces this negative behavior.

Alternatively, the social learning perspective suggests that children who have suffered bullying may begin to bully others less powerful than themselves either as a form of retaliation or as a way of gaining some sense of empowerment. These children have been categorized as bully/victims. Similar to these bully/victims, children from abusive family environments may experience bullying at the hands of family members and, in turn, become bullies themselves. For example, Roberts and Morotti suggest that bullying behavior stems from abusive, chaotic home environments in which families bully the child, who in turn bullies a peer (i.e., a ‘‘kick-the-dog’’ phenomenon). In this type of environment a child learns to normalize and eventually utilize negative social interactions, such as bullying. This idea is supported by the identification of common characteristics of children known to suffer from abusive family experiences. For example, children who bully often display behaviors indicating low social competence, antisocial behavior, a lack of empathy, and high levels of aggression (physical, verbal, and relational). In addition, when interviewed, bullies often describe home environments that are more negative and authoritarian in style than those of children without histories of bullying.

5. Who Are The Victims?

Identified victims of bullying share many similar characteristics. In one pattern, victims are classified as either passive (never behaving aggressively) or highly aggressive (often provoking peers). Most victims are children who spend more time alone than typical children, often falling into the socially rejected category when rated by their peers. They often have poor or less than desirable physical characteristics (e.g., smaller in height, weight, and strength), are younger than the majority of their peers, display low social competence, and emotional maladjustment including depression. In general, victims of bullying are those youth whose physical, psychological, or social status is diminished compared to that of school bullies, thus making them possible targets of repeated aggression.

6. What Are The Effects?

The commonly cited short-term effects of bullying to the victim include risks of diminished self-esteem and depressed mood. Several physical symptoms, such as stomachaches and headaches, difficulty concentrating, and disruption of sleeping and eating habits, have been present among victims of bullying. Long-term effects can include depression, social anxiety, increased levels of aggression, lowered self-esteem, increased risk of suicide, decreased coping skills, and the presence of posttraumatic stress disorder symptoms. As a result of being traumatized by incidents of bullying, victims may carry these negative consequences into adulthood, leading to decreased levels of societal functioning.

Less well known are the effects of bullying on the bully himself or herself. It appears that the long-term effects include risks of school failure; further antisocial, criminal, and delinquent behavior; and an increase in depression, suicidal ideation, and global negative self-evaluation’s. In 1993, Olweus found that of the Norwegian children identified as bullies in grades 6–9, 60% were convicted of at least one crime by the age of 24. Surprisingly, of this 60%, 35–40% had three or more convictions. In addition, incidents of drug abuse in conjunction with depression and suicidal tendencies have often been high among individuals identified as bullies, especially in comparison to individuals with no history of bullying. Finally, bullying is a behavior that, once engaged in, becomes a pattern that is difficult to stop. The bully may become accustomed to and rewarded by getting what he or she wants through asserting power over other individuals. This behavior may continue throughout life and affect social interactions and interpersonal relationships. In short, someone who is abusive in one aspect of his or her life tends to be abusive in various other aspects of life, which can lead to an aggressive and typically frustrating pattern of social behavior.

7. What Can Be Done?

Bully intervention programs implemented at schools seek to eliminate existing bully problems, prevent the development of new bully problems, and achieve better peer relations at school. Other goals of bully intervention programs are to create a positive school climate and increase caring behaviors toward bully victims. These goals are accomplished at the school wide level, the classroom level, and the individual level.

7.1. School-wide Responses

Before implementing a bully prevention program, the following must be considered:

• Staff training: What type of staff training is required? Who will provide training? How will training occur?
• Program funding: How much funding is available? How will funds be allocated?
• Time commitments: How much time will be required by the trained individuals outside of normal duties? How often will the program be implemented and for how long?
• Clear behavioral objectives: What will be expected of students after the intervention? Will the school rules be changed?
• Alternative programs: Which programs will be available for students who are not affected by the intervention?
• Program leadership: Who will take the lead? How will staff be chosen to participate? What qualifications and training are necessary?

In order to equip schools with appropriate tools to deal with bullying, training should include an awareness component through which the school staff is informed about the extent of bullying on campus. Staff should also be asked to examine their own beliefs about bullying. Training on bully prevention and intervention should include specific strategies as well as an overarching conceptual understanding of the nature of bullying as described in previous sections.

Because bullying often happens in unsupervised contexts, such as on the playground and in the lunchroom, where paraprofessionals and community volunteers often provide supervision, bus drivers, maintenance staff, and cafeteria workers should also receive training. Support staff should be aware of the school code and the school’s general bully response procedures.

Bully intervention programs at the school level often restructure the school environment to remove the consequences and negative impacts of bullying. Comprehensive programs typically create specific school-site committees that coordinate aspects of the program, administer questionnaires to determine the nature and extent of the bully problem, hold meetings to raise community awareness, improve supervision and the outdoor environment, and involve parents.

7.2. Classroom-Level Responses

As part of an overall school-wide plan, teachers implement many bully prevention programs within their classrooms. These programs ideally include a set of clear classroom rules and routines (preferably shared across classrooms at the same grade level), comprehensive academic lesson preparation, ample classroom structure, opportunities for students to develop empathy for one another, a warm classroom environment, cooperative instructional groups, and shared responsibilities. In addition to basic preparation and creating a positive classroom environment, teachers should never overlook bullying incidents because in doing so they may inadvertently contribute to a broader ‘‘culture of bullying’’ on the school campus. It is important to create conditions that encourage both victims and bystanders to report bullying when it occurs. It is also important to implement programs that address the unique needs and provide assistance to all involved— bullies, victims, and bystanders. Many teachers also implement programs to develop student skills for resolving conflict in order to provide opportunities for ‘‘in-the-moment’’ social skill learning.

7.3. Individual-Level Responses

It is important to determine the function that bullying serves in specific incidents because this will influence the intervention approach. Most bullies know that what they are doing is wrong, but they often have limited empathy for the victim and may have a personal need to dominate others. Merely punishing the bully (by using power over him or her) may only reinforce the notion that power is an effective social tool. Immediately following a bullying incident, a teacher or staff member should have a serious talk with the bully to determine what steps should be taken next. The talk should include a documentation of the incident, a message that bullying is not acceptable, a referral to the school’s code of conduct, and a reminder that the bully’s behavior will be closely monitored in the future. Individual responses to bullying also include continued one-on-one discussions, counseling, parent involvement, follow-up discussions, and, in extreme cases, the change of class or school for the bully or the victim.

In addition to talking to the bully, the victim should be interviewed as soon as possible, separately from the bully. It is important to obtain information about the duration and frequency of the bullying incident(s), if the victim has had similar experiences in the past, and what the victim has done to try to stop it. During this talk, the incident and nature of discussion should also be documented, the victim should receive information about the plan of action for the bully, and the victim should be taught how to report any future incidents. Assessing the social skills and status of the victim should be carried out as part of an effort to provide social skills training to enhance his or her sense of personal efficacy to cope effectively with any future bullying.

Because peers play different roles in the bully process, it is important that they be considered as a possible resource in the intervention process. Training for students should also contain an awareness component in which they are taught about the nature of bullying specific to their school and the resources available to them. It is important that their consciousness is raised about the general processes of bullying and the individual’s responsibility as a bystander. Training should focus on increasing empathy for the victims as well as provide peers with strategies to encourage them to withstand the pressures of their peer groups. Despite the common occurrence of bullying on school campuses, most students are not victims or perpetrators. They can have a powerful effect on the school climate as it relates to bullying. In part, bullying occurs on school campuses because it can. If bystanders recognize their important role in setting school standards, then its occurrence can be significantly reduced.

8. The Special Role Of Bystanders

Because peers are such an important part of the bullying process, they merit additional in-depth examination. By its nature, bullying is a social interaction that is embedded in a broader school context. The aggression that occurs between bullies and victims is rarely restricted in its impact to the bully–victim dyad. Rather, peers play an integral part in bullying and intervening. Olweus conceptualized student involvement in an acute bullying situation as being part of a continuum (or ‘‘bullying circle’’) (Figure 1). At one end of the continuum are students who take an active part in bullying, support the bully, or follow the bully. At the other end of the continuum are students who defend the victim and dislike the bully’s actions. Many students fit in roles that fall somewhere in between— supporting the bully but not taking an active part, supporting the victim but not helping in his or her defense, or as disengaged onlookers.

Simply by observing the bullying behavior, peers reinforce bullies who often gain social prestige through their aggression. In one study of school bullying, O’Connell, Peppler, and Craig found that when a higher number of peers were observing an incident of bullying, the duration of the incident was longer. The presence of peers served to encourage the bully by giving him or her more peer attention. At least for some bullying behavior, one of the primary reasons that bullying occurs is because the bully gains social prestige through this peer attention. When peers are asked for their opinions of bullies and victims, they usually say that the bully is more likeable than the victim (this is thought to be true because the popularity and aggression of bullies are more appealing than the perceived weakness of victims).

Although the influence of peers encourages bullies, the intervention of peers is also one of the most powerful ways to stop bullying. In one investigation, bullying stopped in three-fourths of cases when a peer intervened on behalf of the victim. Because adults are often unaware of instances of bullying, the impact of this peer intervention should not go underestimated. Nonetheless, although 41% of students said that they would like to help the victim, in reality only 25% intervened. The question of what leads peers to action or inaction in the face of a bullying situation is an important consideration that should be discussed openly in every school.

Students with higher social status are more likely to intervene and help the victim than students who are less popular and perhaps fear that they will also be bullied. Another reason for failing to help the victim may be related to the fact that many acts of bullying occur in front of a group. When several students together observe a peer being bullied, they may feel a lack of individual responsibility to help the victim (social psychologists call this the bystander effect). Even when students would like to intervene, they may not have the skills or know how to help the victim in a way that will be effective. These are topics that are addressed in several intervention programs that educate peers and involve the entire school community.

9. Implications

Research has identified the ‘‘culture of bullying’’ on school campuses. Students are less likely to report witnessing bullying or being personally victimized by a bully if they also perceive that in the past teachers at their school have not intervened to stop bullying. Thus, although many prevention and intervention efforts attempt to decrease the aggression of the bully and to enhance the social skills of victims, it is now recognized that if a school has a laissez-faire, inferred acceptance of, or a blind unawareness of bullying, then students are more likely to accept its occurrence as a ‘‘normal’’ part of the school experience. These developments in bullying research show that schools cannot afford to let students work out their conflicts. To do so may send a message that behaviors such as bullying are tacitly tolerated. Bullying is the largest violence/aggression problem in schools worldwide. As such, it is of the utmost importance that schools study their particular circumstances and take action to prevent its occurrence and to intervene when it occurs.

Bibliography:

• Espelage, D. L., & Swearer, S. M. (2003). Research on school bullying and victimization: What have we learned and where do we need to go? School Psychology Review, 32, 365–383.
• Juvonen, J., & Graham, S. (Eds.). (2001). Peer harassment in school: The plight of the vulnerable and victimized. New York: Guilford.
• Nansel, T. R., Overpeck, M., Pilla, R. S., Ruan, W. J., SimonsMorton, B., & Scheidt, P. (2001). Bullying behaviors among U.S. youth: Prevalence and association with psychosocial adjustment. Journal of the American Medical Association, 285, 2094–2100.
• O’Connell, P., Pepler, D., & Craig, W. (1999). Peer involvement in bullying: Insights and challenges for intervention. Journal of Adolescence, 22, 437–452.
• Olweus, D. (2001). Peer harassment: A critical analysis and some important issues. In J. Juvonen, & S. Graham (Eds.), Peer harassment in school: The plight of the vulnerable and victimized (pp. 3–20). New York: Guilford.
• Olweus, D., Limber, S., & Mihalic, S. (1999). Blueprints for violence prevention series: Book nine: Bullying Prevention Program (BPP). Boulder: University of Colorado, Center for the Prevention of Violence. (Information available at https://cspv.colorado.edu/ ).
• Rigby, K. (2004). What it takes to stop bullying in schools: An examination of the rationale and effectiveness of schoolbased interventions. In M. J. Furlong, M. P. Bates, D. C. Smith, & P. Kingery (Eds.), Appraisal and prediction of school violence: Methods, issues, and contexts. Hauppauge, NY: Nova.
• Roberts, W. B., Jr., & Morotti, A. A. (2000). The bully as victim: Understanding bully behaviors to increase the effectiveness of interventions in the bully–victim dyad. Professional School Counseling, 4, 148–155.
• Smith, P. K., et al. (2002). Definitions of bullying: A comparison of terms used, and age and gender differences, in a fourteen-country international comparison. Child Development, 73(4), 1119–1133.
• Solberg, M. E., & Olweus, D. (2003). Prevalence estimation of school bullying with the Olweus bully/victim questionnaire. Aggressive Behavior, 29, 239–268.
• Unnever, J. D., & Cornell, D. G. (2003). The culture of bullying in middle school. Journal of School Violence, 2(2), 5–27.
• Whitney, I., & Smith, P. K. (1993). A survey of the nature and extent of bullying in junior/middle and secondary schools. Educational Research, 35, 3–25.

More Bullying Research Paper Examples:

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Analyzing the Themes and Impact of “Mean Girls”

This essay about “Mean Girls” explores the film’s commentary on teenage social dynamics, identity, and bullying. It discusses how the film uses the character Cady Heron’s experiences at a new high school to illustrate the impact of social hierarchies and personal transformation. Additionally, it considers the broader cultural impact of the film, particularly in how it addresses the complexities of female relationships and serves as an educational tool for discussing social issues among teens.

How it works

“Mean Girls,” directed by Mark Waters and penned by Tina Fey, serves as a profound commentary on the intricacies of teenage social structures and the perennial challenges of adolescence. Released in 2004, the film has been lauded not only for its comedic elements but also for its incisive critique of identity politics, bullying, and the quest for acceptance within the microcosm of high school.

At the heart of “Mean Girls” lies the exploration of social stratification and power dynamics. The narrative unfolds through Cady Heron, a newcomer to North Shore High School after being homeschooled in Africa.

Cady’s introduction to The Plastics—a dominant trio led by the enigmatic Regina George—highlights the apex of teenage social power. The film skillfully depicts the volatility and potency of social status, illustrating its profound impact on individual actions and interpersonal relationships.

The theme of personal identity and the malleability of one’s sense of self is central to the film. Cady’s gradual shift from an unassuming newcomer to a crafty insider exemplifies how environmental pressures can reshape personal identity. This transformation raises questions about authenticity and adaptation, as Cady navigates the tension between her genuine self and the persona she adopts to gain social favor. The concept of performative behavior is a recurring motif, suggesting that many high school interactions are less about genuine connections and more about conforming to expected social roles.

Bullying serves as a narrative and thematic linchpin in “Mean Girls.” The Plastics employ psychological tactics—rumor-mongering, social exclusion—to maintain their hierarchical status. This portrayal not only criticizes the use of social manipulation as a power mechanism but also contextualizes it within a societal framework that tacitly endorses such behaviors. The film prompts viewers to consider the broader implications of bullying, including its effects on all parties involved: victims, perpetrators, and observers.

The cultural resonance of “Mean Girls” has been significant, influencing how teenage social dynamics are discussed and understood. Its memorable lines and scenes have infiltrated popular culture, making it a touchstone for discussing youth behavior and societal norms. The film is frequently used in educational settings to address themes of social exclusion and the psychology behind group dynamics.

Moreover, “Mean Girls” contributes to the discourse on female representation in the media. It critiques the often competitive nature of female relationships as portrayed in popular culture, advocating for a more nuanced understanding of women’s interactions. The film portrays its female characters as complex figures, capable of both malicious and compassionate actions, thereby promoting a more layered perspective on female relationships.

In sum, “Mean Girls” transcends its status as a mere comedic portrayal of high school life. It delves into significant themes such as power dynamics, identity, and bullying, offering insights into the adolescent social experience. The film’s enduring impact on culture and its utility as an educational tool highlight its importance in facilitating discussions about the social challenges faced by young adults. Through a blend of humor and critical observation, “Mean Girls” dissects the trials and tribulations of navigating identity and acceptance in the often tumultuous landscape of high school.

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