bullying titles for research paper

124 Bullying Essay Topics

🏆 best essay topics on bullying, ✍️ bullying essay topics for college, 👍 good bullying research topics & essay examples, 🎓 most interesting bullying research titles, ❓ bullying research questions.

School Bullying: Causes and Effects
Bullying in Schools: Essay Example
The Problem of Bullying in School
Chronicles of Bullying: An Editorial Article
Bullying at School and Impact on Mental Health
School Bullying and Student’s Development
The Cognitive Behavioural Therapy on Victims of Bullying
Bullying in Schools: Anti-Bullying Programs Bullying in schools is a growing concern all over the world. Violence and insults cause psychological harm not only to victims but also to bullies
Bullying: A Serious Social Problem Bullying is undesirable behavior that society must deter at all costs. In schools, teachers, parents, and other stakeholders should have working knowledge on managing the vice.
Teenagers’ Contemporary Issues: Bullying at School Bullying can be caused by differences between students, and the existing assessment and support options contribute to improving the situation.
Workplace Bullying and Its Implications on Organizations Discrimination is one of the major challenges that organizational leaders face within the workplace. Workplace bullying refers to any acts intended to intimidate a colleague.
Online Bullying Takes Over the World In the context of a rapidly and highly digitized global environment, online bullying, otherwise known as cyberbullying, has become a prevalent issue.
Negative Bullying Outcomes: A Persuasive Speech Bullying has adverse effects on both victims and perpetrators. Bullying should be prevented, or should it occur, reported, and taken care of as soon as possible.
Bullying Effects on Health and Life Quality When children are subject to bullying by their peers, it affects their feelings and evokes negative emotions in the first place.
Bullying Behavior and Its Negative Effects on Children Bullying behavior is a severe issue among school-age children. This essay addresses the negative effects of bullying on children and the ways of overcoming the problem.
Why Bullying Is Wrong and Methods of Resolving Disputes Without Violence Such methods of conflict resolution as mediation, communication, and listening may eliminate the harmful impact of such behavior without violence.
Bullying in Poverty and Child Development Context The aim of the present paper is to investigate how Bullying, as a factor associated with poverty, affects child development.
Prevention of Bullying in Schools School bullying is a relevant and critical global issue, and while it affects all children, some groups may experience various disparities and increased exposure to bullying.
Reducing Bullying in Schools by Involving Stakeholders Schools should raise awareness among educators, instructors, and community members about their roles and responsibilities in the battle against bullying.
Bullying of Learners with Disabilities The problem of bullying remains one of the predicaments learners with disabilities encounter in their learning environments.
Fear Appeal in the Stop Bullying Public Campaign In the video “Stop bullying,” the subject matter is presented shockingly. The 47-second clip shows a high school girl receiving an aggressive text message from her peers.
School Bullying and Problems in Adult Life Bullying is aggressive behavior that can be seen in different children, teenagers, and adults. In this paper, the causes of bullying and the effects of it will be presented and discussed.
Bullying Problem in School Bullying is caused by genetic predisposition, relations with peers, and as a reaction to the situation in school or at home.
The Problem of Workplace Bullying: Literature Review The purpose of this paper is to provide a review of the relevant literature on the topic of workplace bullying.
Anti Bullying Prevention Program The standards for anti-bullying program aims to prevent not only the behavior of bullying but also behavior representing the full spectrum of inter-student cruelty.
Bullying and Parenting Styles There are many positive and negative outcomes of parenting on children. This paper aims at investigating the connection between several types of parenting and bullying behaviors.
Cyber-Bullying and Ways to Solve the Problem The primary goal of the given study is the investigation of cyber-bullying, which is nowadays one of the integral parts of social media and the Internet.
Bullying and Sexual Harassment at Work Place According to Safety and Health Assessment and Research for Prevention, workplace bullying occurs when an individual direct irrational actions repeatedly towards their fellow worker.
Addressing Bullying in Elementary and Middle School Classrooms The study mainly focuses on teachers’ lack of knowledge on how to deal with the issue of bullying in the classroom in an effective manner.
The Consequences of High School Bullying This annotated bibliography includes summaries of four academic studies that explore the effects of bullying on high school students.
Harsher Laws for Cyber Bullying The number of people using social networks is growing but they do not see the danger in remote communication and are subjected to cyberbullying.
Workplace Bullying and Its Impact on People’s Mental Health Workplace bullying turns out to be a serious theme for discussion because of a variety of reasons, and one of them is its impact on people’s mental health.
The Meaning of Cyber Bullying The work reveals the meaning and purpose of cyberbullying, what signs characterize it and the solution to cyberbullying.
The Long-Term Consequences of Being Bullied or Bullying Others in Childhood This study attempts to discuss the main consequences on the mental and physical health of victims, bully-victims, and bullies themselves, and comment on the prevalent patterns.
Deterring Juvenile Crime. Bullying and Delinquency Delinquency can be defined as a crime committed by a minor; in the recent few years, cases of juvenile delinquency have been on the rise.
Causes of Bullying in Nursing The relationship between medical staff is an important aspect that determines the quality of work in a particular institution and the healthcare system as a whole.
Bullying at Pre-School and Preventive Measures This paper provides five tips for pre-school bullying prevention, the first of which is to give opportunities for children to show kindness and respect.
The Relation Between the Teen Suicide and Bullying During the teenage years, bullying and harassment represent cases of social animosity that make suicide an option.
Cyber Bullying Messages in Communication Networks Bullying can come in different forms, but it always causes injury or even worse. Bullying victims may carry the psychological wounds of their ordeal for the rest of their life.
Bullying and Work-Related Stress in the Irish Workplace One of the best analyses of relationships between workplace stress and bullying has been done in the research study called “Bullying and Work-Related Stress in the Irish Workplace.”
Bullying and School Drop Out Rate Relationship Analysis Bullying is rife in schools where physical and verbal abuse occurs among pupils/students. There is “a close relationship between bullying, school involvement, and literacy”.
Organization Conflicts and Bullying Workplace bullying is a serious problem with huge costs attached to it in terms of loss of working days. The topic requires academic attention to ascertain the factors that induce such behavior.
High School Bullying: Psychological Aspects The study discusses the psychology behind bullying, the effects of bullying on all the involved parties, and emergent patterns.
The Workplace Bullying Prevention Policy The problem of bullying creates a severe issue for the atmosphere of the workplace environment, the mental health of workers, and their performance.
The Issue of High School Bullying Bullying cases among high school students have been on the rise in modern society. High school bullying is mainly caused by media exposure.
Bullying and Methods of Solving This Problem The article is devoted to the causes of bullying which develops in almost any closed community among children and adolescents.
The Social Problem of Bullying and the School System The present paper focuses on the connection between the social problem of bullying and the school system, describing each of these concepts.
Bullying During Orientations in the Universities In order to address the issue related to bullying during orientations, only the most empathetic senior students should be allowed to participate in orientations.
Bullying Among Adolescents Problem Studying the problem of bullying, its factors of influence, and the application of developmental theories are critical for finding ways to combat it effectively.
Bullying: A Guide for the Parents The first way for parents to assist the kid in coming up with bullies is to teach them a set of responses, which they can use in case someone is picking on them.
Problem Scenario: Workplace Bullying in Teaching When the word “bullying” is used in the context of education, one often presumes the situation in which one student systematically mistreats another.
Bullying and Patient Safety in Clinical Settings Besides damaging the atmosphere in clinical settings and negatively affecting the personnel, bullying can lower the quality of healthcare services and harm patient safety.
Bullying as Managerial Issue in Nursing Sector Bullying is a significant nursing issue due to the negative impact caused on the performance level among the employees.
Problem of Bullying Overview and Analysis Bullying can have harmful impacts on everyone involved, including bullies, the bullied, and bystanders. It can be prevented through the use of selective preventive programs.
Nurse Bullying: Unprofessional Conduct Bullying can be exhibited in the form of physical and verbal threats, social seclusion, aggressive behaviors, and suppression of applicable care information.
Bullying: A Concern for Modern Communities and Educational Establishments Parents can educate their children to create safe environment for healthy development, both physical and mental, guaranteeing the absence of abusive behavior or victimization.
Bullying and Its Impact on My Life In this essay, the author talks about the impact of bullying on his life and how he managed to cope with the problem.
“Nurse Exposure to Physical and Nonphysical Violence, Bullying…” by Spector This paper is a critique of the article titled “Nurse Exposure to Physical and Nonphysical Violence, Bullying, and Sexual Harassment: A Quantitative Review”.
Anti-bullying Practices in Criminal Prosecution Anti-bullying practices have proceeded past only encouraging an individual to avoid ill-treatment of their peers to the establishment of laws.
Workplace Bullying: Dealing With the Office Bully The psychological stress caused by bullying can be so severe that in the worst case, it can lead to depression and quitting.
Bullying in the Modern Society: Review Bullying is one of the major concerns of modern society. Following the statistics, about 40% of all individuals have experienced being bullied at least once.
The Dumfries and Galloway Council’s Policy Against Bullying This paper discusses the analysis of the bullying in general and its understanding in the works of Dumfries and Galloway Council.
Workplace Bullying in the Nursing Areas The paper is aimed to tell about the importance of overcoming workplace bullying in the example of a nursing collective.
Exploring Workplace Bullying in Nursing This paper critiques Etienne’s 2013 study of workplace bullying in nursing and highlights the strengths and weaknesses of the research.
Bullying Among Nursing Staff The bullying in health care is still present, and health practitioners’ mental health, motivation, and ability to uphold precision and self-composure are compromised.
Nurse Bullying and Legal Interventions Nurse bullying has to be addressed by healthcare establishments and national agencies to ensure proper work culture and adequate environment for patient care.
Horizontal Violence and Bullying in Nursing There is a direct correlation between horizontal violence and job satisfaction among nurses, which affects the efforts of individuals who choose this profession.
The Issue of Cyber-Bullying in Education Field Bullying has been recognized as a pervasive and a severe problem as well as a significant concern, mostly in the educational field.
Parenting Style and Bullying Among Children The investigation of parenting styles is highly essential to understand how they affect the bullying behavior of children to prevent it.
Bullying and Laws in American Schools Researchers distinguish two major kinds of bullying that take place in the academic setting: direct and indirect.
School Bullying and Legal Responsibility The following paper will discuss and cover the rate of school bullies’ legally unregulated actions and the detriment that they constantly cause to other children who surround them.
Cyber-Bullying and Cyber-Stalking as Crimes Cyber-bullying and cyber-stalking are relatively close in meaning, but there is a slight difference in the definition of these terms.
School Bullying and Teacher Professional Development
Bullying and Its Effect on Our American Society
Physical, Emotional, and Social Bullying
The Government Should Put Laws in Place To Prevent Bullying
Childhood Bullying and Social Relationships
Bullying and Its Effects on Individual’s Education
The Emotional and Physical Aspects of Bullying
Bullying and Its Effects on the Person Who Is Being Hurt
Childhood Bullying and Its Effects on Children
Cyber Bullying Affects People‘s Lives More Than One Might Think
Managing Bullying and Harassment in the Workplace
Bullying Affects the Social Learning Theory
How Has Bullying Changed Our Modern World?
Bullying and the Workplace and Affect Morale
The Bible Belt and Its Beliefs on the Problem of Bullying
Cyber-bullying Through Anonymous Social Media
The Difference Between Bullying and Harassment
Racial Bullying and Its Effects on the Middle of the Twenty
Bullying Among Children With Autism Spectrum Disorder
Social Media Bullying and Cyberbullying
Bullying Prevention and School Safety
Physical and Verbal Bullying in Schools
What Are Schools and Parents Doing for Bullying Prevention?
What Are the Effects of Bullying in Public Schools?
What Strategies Might You Employ to Encourage Pupils to Prevent Bullying?
How to Talk to Your Children About Bullying?
What Are the Six Types of Bullying Parents Should Know About?
Which American State Has the Toughest Bullying Laws?
Who Started and Invented Anti-Bullying Day?
What Countries Have Anti-Bullying Laws?
Which American State Is the Only One to Not Have an Anti-Bullying Law?
What Is the Meaning of Anti-Bullying Law?
What Is the Number One Determinant of Bullying Will Occur?
When Was the First Anti-Bullying Law Passed?
Is Bullying a Social Determinant of Health?
What Should Be in an Anti-Bullying Policy?
Why Is the Anti-Bullying Policy Important?
Why Should We Be Aware of the Anti-Bullying Act of 2013?
What Is the Meaning of Emotional Bullying?
What Is the Punishment for Anti-Bullying Act?
Is Bullying a Social Phenomena?
Who Is the Father of Bullying Research?
What Is a Good Slogan for Stop Bullying?
Why Do the Bullying Programs not Work?
Why Students Engage in Bullying?
Why Are Workplace Bullying and Violence Important Issues for Organizations?
Why Should Bullying Not Be Harsh?
What Is the Most Important Strategy for Bullying Prevention?
Why Do We Need to Conduct a Study About Bullying?
Are Bullying Prevention Programs Effective?
Who Should Universities Have the Ability to Punish Students for Cyber Bullying?
Are Neoliberalist Behaviours Reflective of Bullying?

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These essay examples and topics on Bullying were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

This essay topic collection was updated on December 27, 2023 .

165 Bullying Research Topics: Qualitative & Quantitative

Have you ever witnessed someone face unwanted aggressive behavior from classmates? According to the National Center for Educational Statistics, 1 in 5 students says they have experienced bullying at least once in their lifetime. These shocking statistics prove that bullying is a burning topic that deserves detailed research.

Our specialists will write a custom essay specially for you!

The picture says that the negative impact of bullying can last into adulthood and beyond.

In this article, you will find as many as 165 bullying research paper topics created by our custom-writing experts especially for students. We will also provide actionable writing tips. Check them out!

🔝 Top 12 Research Topics
❓Top 12 Research Questions

⚠️ Types of Bullying

💡 Qualitative Research Topics
📊 Quantitative Research Ideas
🖥️ Cyberbullying Topics
🕵️ Bullying Crime and Law Topics

🚀 Bullying Research Paper Outline

🔗 references, 🔝 top 12 bullying research topics.

Long-term effects of bullying.
Bullying as a cause of addiction.
Workplace harassment prevention.
Bullying and domestic violence.
The impact of bullying on society.
Victimization: how to break the silence.
Anti-bullying laws and their importance.
Bullying is the crime of the 21 st century.
Emotional and physical forms of bullying.
Are bullying awareness programs efficient?
Cyberbullying: consequences and solutions.
The impact of social media on bullying rates.

❓ Top 12 Bullying Research Questions

 How does aggression affect individual education?
Is there a correlation between bullying and suicide?
What is the bystander effect in workplace bullying?
How does harassment impact job satisfaction and retention?
How does cyberbullying affect school-aged children?
Are there any victim selection patterns in school bullies?
Why do people accept and condone workplace bullying?
Is there a correlation between bullying and school dropout rates?
How does maltreatment interfere with children’s emotional development?
In what ways does interpersonal aggression influence adolescents’ academic performance?
What is the connection between school bullying and relationship problems in adulthood?
Should we prosecute cyberbullying and cyberstalking as criminal offenses?

There are several types of bullying, each with their own methods and characteristics:

💡 Qualitative Bullying Topics for Research Papers

Common characteristics of school bullies.
The peer victimization selection patterns.
How did COVID-19 impact workplace bullying?
Anti-bullying measures in schools and their effects.
Analyze the causes of bullying and harassment at work.
Parental feeling and perceptions of bullying incidence.
Explain the impact of harassment acts on the perpetrators.
The psychological effect of the bystander effect on empathy levels.
Domestic abuse and interparental violence’s impact on bullying.
Look into the effect of protective factors in victimization experiences.
The strength of parental relationships and bullying perpetration.
What are the long-term behavioral effects of school bullying on children?
Bullying response patterns from parents of victims and perpetrators.
The impact of bullying on children with developmental disabilities.
Explain the emotional effects of workplace bullying.
Personal ways of coping with bullying among adolescents.
Study the alleviating effect of community on harassment.
The emotional and mental state of workplace bullies.
Discuss the impact of ineffective organizational practices on bullying incidence.
Review the victims’ views on interventional approaches to workplace bullying.
What are the factors in group bullying participation?
Provide an overview of key features of adolescent bullying of students with disabilities.
Organizational factors impacting the solutions to bullying.
Research the factors of investigating the cases of nurse bullying.
What is the role of friendship bonds in bullying experiences?
Provide an insight into the primary causes of bullying.
The physical health impacts of bullying on adolescents.
The experiences of teenagers with bullying and suicidal ideation.
Explore the features of social isolation as a form of bullying.
Challenges in finding support for aggression experienced by teenagers.
Study the impact of cyberbullying on the physical health of children.
Power, control, and purpose as factors in bullying.
What is the impact of teacher-initiated bullying reduction strategies?

Bullying is a serious issue that has gotten a lot of academic attention. In particular, the need for qualitative research on this topic has significantly grown. Qualitative approaches use methods to identify and evaluate crucial aspects of adolescent bullying and find solutions to decrease this problem. Feel free to use any of our qualitative bullying research topics to kickstart the writing process.

The picture enumerates common reasons for bullying.

📊 Quantitative Bullying Research Paper Topics

Bullying of LGBTQ+ adolescents.
Gender differences in harassment behavior.
Depression as a long-term effect of victimization.
Long-term effects of bullying in adulthood.
Quantitative research on bullying and mental health.
Analyze the effects of bullying on victim’s physical health.
Aggression and substance use : a structural equation modeling study.
Study the correlation between parental involvement and the frequency of bullying.
Frequency of victimization depending on ethnicity.
Conduct quantitative analysis of bullying according to school types.
Bullying and academic achievement : a longitudinal study.
Research the prevalence of anxiety among victims of interpersonal aggression.
Provide a quantitative examination of bullying by country.
Compare the prevalence of intimidation in urban vs. rural schools.
Frequency of bullying incidents in relation to school size.
Quantitative association between intimidation and self-esteem.
Write a regression analysis of victimization phenomenon.
Impact of bullying on academic performance of teenagers.
Bullying prevention programs: a quantitative evaluation.
Analyze the impact of harassment on anxiety symptoms.
Evaluate the effectiveness of popular anti-bullying PSAs.
Write a quantitative study of the median age of cyberbullying victims.
School strategies for preventing intimidation between students.
Study the correlation between racial differences in aggression experiences.
Evaluate the efficiency of legislation to reduce bullying.
How interpersonal aggression affects peer relationships.
Harassment in third-world countries’ schools.
Evaluate the effectiveness of family interventions in addressing bullying.
Assess the productivity of school-based anti-bullying support programs.
Aggression and social media use : a quantitative assessment.
Degree of dependence on bullying and academic outcomes.
Effects of abuse on body mass index in adolescence.
Study the frequency of victimization among students with disabilities.
Review of the association between harassment and physical health.
Provide a quantitative examination of bullying and peer support.
What is the impact of intimidation on social adaptation?
Assess the efficiency of strategies to cope with bullying.
Provide a quantitative investigation of bullying and school attendance.
Effects of interpersonal aggression on sleep quality : a longitudinal study.

Quantitative research analyzes the issue based on statistics, percentages, and ratios. This type of research often defines bullying in the context of social behaviors and relationships. Choose any idea from our list of quantitative bullying research topics and study the issue using numerical data. 

🖥️ Bullying Research Topics: Cyberbullying

Cyberbullying in the form of ghosting.
Why are online abusers challenging to identify?
Factors that help identify online abuse.
Who are the main targets of online harassment?
Laws and regulations that prevent and penalize cyberbullying .
Present the reasons behind increasing cases of cyberbullying in modern society.
Study the facts about cyberbullying issues in the LGBTQ+ community.
Is age a determinant when it comes to the problem of cyberbullying?
The effects of cyberbullying and violent behavior on victims.
Are the ethics of cyberbullying the same as with regular bullying?
Teenage cyberbullying is a cause of mental disorders.
Study social media as one of the most common places for online harassment.
Research computer games as a place of online abuse.
Explore the reasons why the public is becoming more concerned about cyberbullying of children .
What is the frequency of cyberbullying vs. traditional bullying?
Boys and girls: who are more prominent victims of digital harassment?
Cyberbullying is a manifestation of internal frustration.
How does anti-social behavior result in online victimization?
What are the consequences for individuals who cause cyberbullying?
Explore the connection between juvenile delinquency and cyberbullying.
Initiatives that can be taken to reduce the occurrence of digital harassment2.
What is cyberbullying among university students connected to?
The difference between offline and online bullying.
How does cyberbullying affect the social lives of the victims?
Study cyberbullying as one of the reasons behind high school absenteeism.
Evaluate the organizations that provide support to victims of cyberbullying.
Discuss cyberstalking as a distinct kind of cyberbullying.
Education on cyberbullying as one of the measures to prevent it.
Is there online etiquette to prevent digital harassment?
Can blocking the cyberbully protect the victim?
Are nonconsensual sexual messages considered cyberbullying?
The role of educators in the issue of online abuse.
Should parents be involved in the resolution of cyberbullying issues?
Is peer pressure the reason behind digital abuse?
Anonymity as a facilitator of cyberbullying.
Ridiculing with insults as a subtype of cyberbullying.
Case study: celebrities who were affected by online harassment.
Research the psychology of aggressors who initiate and support cyberbullying.
Suggest the actions of a parent whose child was subjected to online abuse.

According to statistics, 15% of kids between 12 and 18 who reported being bullied at school said they were harassed online or via text messages. Writing essays on cyberbullying may assist in raising awareness and drawing people’s attention to this issue.

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🕵️ Bullying Research Titles: Crime and Law

The impact of abuse on troubled adolescents.
Bullying as a form of relational aggression.
The social concepts of harassment and its types.
The “Mean Stinks” program and girl-to-girl bullying.
Rank American states by their anti-bullying laws.
Suggest intervention techniques for preventing bullying in elementary and middle schools.
How can we prevent sexual harassment and aggression in the workplace?
Consider ways to resolve conflicts and stop bullying within an organization.
How can we address aggression among children in school settings?
The Dumfries and Galloway Council’s anti-bullying policy.
Evaluate the effectiveness of cognitive behavioral therapy to help victims of harassment.
What is the role of parenting styles in bullying?
Explore the prevalence of bullying in modern society.
How can we use anti-bullying measures to deter juvenile crime and delinquency?
Ways to deal with workplace bullying and the “office bully.”
Anti-bullying practices in the criminal justice system.
Research the negative impact of workplace bullying on mental health.
The persistence of bullying in modern communities : an editorial.
Nurse bullying as unprofessional conduct.
Why should we recognize harassment as a serious social problem?
The physical, emotional, and social aspects of intimidation.
Do we need government regulations to prevent bullying?
How does bullying affect the social learning theory?
Study the changing landscape of aggression in the modern world.
Research cyberbullying through anonymity on social media.
Is abuse a social determinant of health?
Evaluate factors that increase the likelihood of interpersonal aggression.
Bullying as a form of social and criminal deviance.
Suggest ways of balancing free speech and anti-bullying laws.
Study the link between bullying and substance abuse.

Bullying incidents are typically not crimes. Nonetheless, some forms of bullying are prohibited by law and must be reported to the authorities. This includes bullying that involves physical harm or assault, theft, long-term harassment, intimidation, etc. If this interests you, choose any of our bullying topics connected to crime and law and write a paper about it!

"No one heals himself by wounding another." - St. Ambrose.

Have you been assigned to write an essay about bullying? If you need help with this task, you’re in luck: check out our practical guide with practical tips and examples! 

Bullying Research Paper Introduction

Let’s start from the very beginning. A strong introduction must include the following components: 

A hook. The opening sentence of an introduction paragraph should contain something attention-grabbing. It can be a piece of statistics, a shocking fact, a quotation, or a powerful statement related to your topic.

The internet has transformed the landscape of human interaction, giving rise to a realm where words can wound or even kill.

You can also check out our free attention grabber generator to help you develop catchy hooks!

A brief overview . An introduction should provide background information on the paper’s significance within a specific field.

Teenagers spend more and more time navigating a complex virtual world online via social media sites like Twitter, YouTube, and TikTok. According to recent studies, these hours of increasing online usage may be linked to cyberbullying behaviors.

An explanation of your position . The introduction needs to transition smoothly from background information to the specific argument of the paper. 
A thesis statement . Finish your introductory paragraph with a short summary of the paper’s main ideas. Read on to learn how to write it!

Bullying Thesis Statement: How to Write

A thesis statement is a sentence that summarizes the arguments in your essay. Follow these steps to create a compelling and informative thesis statement: 

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Examine the primary sources.
Choose the most compelling arguments.
Formulate your own position based on the information you’ve found.
Turn it into a short persuasive statement.

Most of the time, cyberbullying goes unreported, but it is still an extremely destructive and, in some cases, fatal phenomenon.

To make the writing process easier, try using our free thesis generator .

Main Body & Topic Sentences for Bullying Research Paper

The main body of your text should contain topic sentences, compelling evidence, and a description of your research and findings. To write a good body paragraph, follow our tips:

📌 Give plenty of detail on the points raised in your introduction.

📌 Gather all the facts you’ve learned from different sources during your investigation.

📌 Create a logical structure for your argument.

Get an originally-written paper according to your instructions!

When adolescents connect with their peers in person, they adopt social norms that differ significantly from those used in online communication. Social media tends to make them more aggressive due to their anonymity and ability to avoid retaliation. Furthermore, because they cannot see the actual consequences of their activities, cyberbullies may feel less remorse or empathy when engaging in bullying behaviors.

Bullying Conclusion Paragraph: Writing Tips

To create an effective research paper conclusion , you will need to rewrite your thesis and summarize your main arguments. But that’s not all of it: it is also necessary to leave a lasting impression on the reader. Here’s how you can do it:

🎯 Finish by connecting the last paragraph to the first.

🎯 Conclude with a statement that is made up of one-syllable words.

🎯 End with a sentence that summarizes your main points.

Cyberbullying is a grave problem that can happen to anyone but is especially widespread among young people. For this reason, schools and parents must be aware of this issue and take appropriate action to avoid negative consequences. But we must also remember that the power to combat cyberbullying lies in our empathy, vigilance, and kindness towards each other.

We hope that our list bullying topics for research papers will be helpful to you! If you haven’t found a suitable topic here, you can also try our free research question generator to help you develop a writing idea. Feel free to comment below or share this article with your friends!

78 Cyber Bullying Essay Topic Ideas & Examples

🏆 best cyber bullying topic ideas & essay examples, 💡 interesting topics to write about cyber bullying, 👍 good essay topics on cyber bullying, ❓ questions about cyberbullying research.

Cyber Bullying Issue Therefore, the goal of this paper is to analyse who the victims of cyber bullying are and the influence it has on them.
Is Cyber Bullying Against Teenagers More Detrimental Than Face-To-Face Bullying? Social networking has also contributed greatly to the issue of cyber bullying especially in making it more harmful as compared to face-to-face bullying. We will write a custom essay specifically for you by our professional experts 808 writers online Learn More
Cyber Bullying and Positivist Theory of Crime Learning theory approaches to the explanation of criminal behavior have been associated with one of the major sociological theories of crime, the differential association theory.
The Effects of Cyber-Bullying and Cyber-Stalking on the Society In particular, one should focus on such issues as the disrespect for a person’s autonomy, the growing intensity of domestic violence and deteriorating mental health in the country.
Discouraging and Eliminating Cyber Bullying Resources Role of the resource/input Statement forms To facilitate information transfer to the staff Counseling Personnel To arm students against the problem Bullying report system To create efficient internet enhance report system Regulation implementation documents […]
Cyber Bullying as a Virtual Menace The use of information and communication technologies to support a deliberate and most of the time repeated hostile behavior by an individual or groups of people with the sole intention of harming others, one is […]
Cyber Bullying Reduction Program Table of Activities Activity Significance Assembling parents/guardians, students and teachers to announce and explain the program in the institution To enlighten parents/guardians, students and teachers about the rules and regulation enacted due to the threat […]
Cyber Bullying Prevention in Learning Institutions: Systematic Approach To start with, the students are provided with ways of reporting their concern to the educational institution, and when the staff members of the institution receive the report, they evaluate the information together with the […]
Cyber Bullying and Its Forms The difference between the conventional way of bullying and cyber bullying is that in conventional bullying, there is contact between the bully and the victim.
Ethics in Technology: Cyber Crimes Furthermore, the defendant altered the data, which compromised the integrity of the information to the detriment of the organizations involved. In this litigation, Aleksey Vladimirovich Ivanov was the defendant while the American government was the […]
Ethical Case: Facebook Gossip or Cyberbullying? The best option to Paige is to apologize publicly and withdraw her comments. The final stage is to act and reflect the outcome of the choice made.
Freedom Of Speech In The Era Of Cyber Bullying
The Negative Impacts of Technology on Social Skills: Anxiety, Awkward Conversations, Cyber Bullying, and Lack of Awareness
Different Consequences of Cyber Bullying in School
The Study Of Cyber Bullying Victimization On Children Who Are Addicted To The Internet
The Causes and Harmful Effects of Cyber Bullying
Why Do Cyber Bullying Laws Need to Be Enforced
Unsecured Privacy Settings, Cyber Bullying, And Facebook Crime
Bullying Carried too Far: Cyber Bullying and Violent Bullying
Cyber Bullying: Misuse of Information and Communications Technology
Cyber Bullying and Why Parents Need to Monitor Their Children’s Activity
The Detrimental Effects of Cyber Bullying
Cyber Bullying, Its Forms, Impact, and Relationship to Juvenile Delinquency
How Cyber Bullying Affects Our Lives Negatively
The Effects Of Cyber Bullying On Substance Use And Mental Health
Cyberbullying : Causes And Dangers Of Cyber Bullying
The Effects Of Cyber Bullying On The Mental Health Of Middle School Aged Youth
Is Cyber Bullying Morally Justifiable
Cyber Bullying And Its Effect On Our Youth
An Analysis of Cyber Bullying in Today’s World
Cyber Bullying And Its Effect On The Lives Of The American
Bullying And The Potential Motives Behind Cyber Bullying
Cyber Bullying And Its Various Forms
Bullying In The Digital Age: Electronic Or Cyber Bullying
Information Technology – Role of Social Networking Cites in Cyber Bullying
Cyber Bullying : A Consistent Problem For Young People
Cause And Effect Of Cyber Bullying
Cyber Bullying, Creating a Culture of Respect
Cyber Bullying And Its Effect On Adolescents
Prevention And Intervention Of Cyber Bullying
Investigating Cyber Bullying Using Social Media
Cyber Bullying Affects People ‘s Lives More Than One Might Think
The Cyber Crime and the Cyber Bullying
The Cause of Cyber Bullying and the Effect of the Mental Development of Teenagers
Cyber Bullying: An Uncontrollable Epidemic
The Psychological Impact of Cyber Bullying
The Eternal Effects Of Cyber Bullying
Cyber Bullying : Bullying Through Technology
Why Does Online Anonymity Increase Cyberbullying Among Teenagers?
Are Laws Effective Strategy Address Issue Cyberbullying?
Are Schools Doing Enough About Cyberbullying?
What Are the Causes of Cyberbullying?
What Is the Prevention of Cyberbullying?
Is Cyberbullying Related to a Lack of Empathy and Social-Emotional Problems?
How Often Do Celebrities Suffer From Cyberbullying?
What Are the Characteristics of Cyberbullying Among Students?
How Does Social Integration of Children Help to Combat Cyberbullying?
What Is the Correlation Between Suicide Rates and Cyberbullying?
How Does Cyberbullying Affect Society?
What Is the Correlation Between Depression, Bullying and Cyberbullying?
Are There Gender Differences in Cyberbullying?
What Is the Criminal Penalty for Cyberbullying?
What International Associations Prevent Cyberbullying?
What Is the Role of Affective and Cognitive Empathy in Cyberbullying?
What Are the Solutions to Cyberbullying?
Can Cyberbullying Be Called Cyber Crime?
What Is the Role of Teachers in Preventing Cyberbullying?
Can Internet Privacy Be Enough to Prevent Cyberbullying?
How Does Cyberbullying Affect Children?
How Many American Teenagers Are Cyberbullied?
How Does Cyberbullying Affect Mental Health?
How Is Cyberbullying Different From Physical Bullying?
Is Cyberbullying an Example of Psychological Abuse?
Can School Policies Reduce Cyberbullying?
How Does Cyberbullying Affect Teenagers’ Self-Esteem?
What Are the Consequences of Cyberbullying?
Has the Proliferation of Social Media Led to an Increase in Cyberbullying?
Is Cyberbullying Less Criminal Than Traditional Bullying?
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80 Bullying Essay Topics

Table of Contents

Bullying Essay Guide: Topics, Selection, and Writing Tips

Bullying is a topic that has attracted significant attention over the years due to its widespread prevalence and detrimental effects on victims. Primarily observed among school children, bullying often stems from social differences, physical appearances, or an individual’s vulnerability. This article aims to guide you through the process of selecting the best bullying essay topic and offers a plethora of topics to inspire your writing.

How to Choose the Best Bullying Essay Topic?

1. Consider Your Audience: Choose a topic that resonates with your readers. Given the prevalence of bullying, many can relate, including perhaps your teachers.

2. Brainstorm and Collaborate: Discuss potential topics with peers to gauge their depth and relevance.

3. Hook Your Readers: Start with an engaging title and opening line to captivate your audience immediately.

4. Rely on Facts: Ensure you incorporate accurate statistics and facts to build a credible argument.

5. Proofread: Review your essay, refine it, and seek feedback. Ensure all aspects of your chosen topic are addressed. For comprehensive proofreading and topic selection, consider using professional services like writeondeadline.com .

Bullying Essay Topics

General topics:.

Effects of bullying on victims’ wellbeing.
Strategies to combat bullying in schools.
The role of parents in addressing bullying.
Personal experiences with bullying – as a bystander or victim.
Legal implications and interventions against bullying.
Motivations behind bullying behaviors.
The societal view on bullying: Is it normalized?
Differentiating between various forms of bullying.
The impact of teachers’ interventions in bullying scenarios.
Raising awareness about bullying in educational institutions.

Cyberbullying Topics:

Factors leading to cyberbullying.
Overcoming the trauma of online harassment.
Investigative methods to trace cyberbullies.
The psychology of individuals who cyber bully.
Comparing the psychological impacts: Cyberbullying vs. traditional bullying.
How social media platforms can be breeding grounds for cyberbullying.
Prevention strategies against online harassment.

Anti-Bullying Topics:

Effective measures to eradicate bullying.
The repercussions of bullying on individuals.
Role of parents and educators in supporting bullying victims.
Social dynamics contributing to bullying.
Governmental initiatives against bullying in schools.
Techniques to confront and neutralize bullies.

General Bullying Topics:

The psychological aftermath of being bullied.
The global statistics on bullying: How does it vary?
The role of school leadership in bullying interventions.
Bullying and its connection to the rise in youth mental health issues.
Can bullying be linked to familial structures and parenting styles?
Bullying in adult workplaces: Is it an extension of school behavior?
How pop culture and media representation influence bullying trends.
The economic implications of bullying on society.
Effects of bullying on academic achievements.
The role of peer pressure in bullying incidents.

Cyberbullying Themes:

Anonymity and its role in escalating cyberbullying.
The dark side of social networking sites: A hub for bullies.
Laws and regulations against cyberbullying worldwide.
The role of tech companies in preventing online harassment.
Digital footprints: How they contribute to cyberbullying.
The evolution of cyberbullying: Past, present, and future.
Parental monitoring: A solution to teen cyberbullying?
The contrast between online and offline bullying personas.
How educators can equip students against online threats.
The long-term effects of cyberbullying on mental health.

Anti-Bullying Initiatives:

School programs that effectively reduce bullying.
The power of storytelling and personal narratives in bullying prevention.
Community-driven initiatives against bullying.
The role of celebrities and influencers in anti-bullying campaigns.
Collaborative strategies between parents and schools to counteract bullying.
Importance of counseling services in schools for bullied students.
Anti-bullying laws and their effectiveness.
The positive impact of peer-support groups.
Role models and mentors: Their influence on reducing bullying.
International anti-bullying initiatives and their success stories.

Bullying Research and Case Studies:

Detailed analysis of high-profile bullying incidents.
Cultural influences on bullying behaviors.
Ethnographic studies on bullying patterns.
The connection between substance abuse and bullying.
How do marginalized groups (LGBTQ+, ethnic minorities) experience bullying differently?
The link between childhood trauma and becoming a bully.
Comparative studies: Bullying in urban vs. rural schools.
Evaluating the success of helplines for bullied individuals.
The role of the internet in both escalating and combating bullying.
Assessing the impact of anti-bullying mobile apps and digital tools.

Societal and Psychological Perspectives:

Bullying from a sociological viewpoint: What does it reveal about society?
The psychological profile of a typical bully.
Do societal standards and ideals indirectly promote bullying?
How bullying affects the family dynamics of the victim.
The cycle of bullying: Can a victim become a bully?

Argumentative Essay Ideas on Bullying:

Defining a bully: Are they criminals?
Examining bullying trends across different age groups.
Gender dynamics in bullying: Do boys bully more than girls?
Assessing the correlation between bullying and academic performance.
The link between bullying and suicidal thoughts.

For those who might feel overwhelmed by the wide array of topics, our dedicated team at writeondeadline.com is here to assist. Whether you need help in choosing a topic, writing, or proofreading your essay, our experts are just a click away.

Research article
Open access
Published: 14 December 2021

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

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

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

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

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

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

Conclusions

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

Introduction

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

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

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

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

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

Participants

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

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

Study outcome

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

Primary exposure

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

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

Statistical analyses

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

Prevalence of bullying at school and mental health problems

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

Associations between bullying at school and mental health problems

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

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

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

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

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

Strengths and limitations

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

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

Availability of data and materials

Data requests will be considered on a case-by-case basis; please email the corresponding author.

Code availability

Not applicable.

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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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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

___________________

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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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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Open Science: Recommendations for Research on School Bullying

Original Article
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Published: 30 June 2022
Volume 5 , pages 319–330, ( 2023 )

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Nathalie Noret ORCID: orcid.org/0000-0003-4393-1887 1 ,
Simon C. Hunter ORCID: orcid.org/0000-0002-3922-1252 2 , 3 ,
Sofia Pimenta ORCID: orcid.org/0000-0002-9680-514X 4 ,
Rachel Taylor ORCID: orcid.org/0000-0003-1803-1449 4 &
Rebecca Johnson ORCID: orcid.org/0000-0001-7359-6595 2

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The open science movement has developed out of growing concerns over the scientific standard of published academic research and a perception that science is in crisis (the “replication crisis”). Bullying research sits within this scientific family and without taking a full part in discussions risks falling behind. Open science practices can inform and support a range of research goals while increasing the transparency and trustworthiness of the research process. In this paper, we aim to explain the relevance of open science for bullying research and discuss some of the questionable research practices which challenge the replicability and integrity of research. We also consider how open science practices can be of benefit to research on school bullying. In doing so, we discuss how open science practices, such as pre-registration, can benefit a range of methodologies including quantitative and qualitative research and studies employing a participatory research methods approach. To support researchers in adopting more open practices, we also highlight a range of relevant resources and set out a series of recommendations to the bullying research community.

Pseudoscience, an Emerging Field, or Just a Framework Without Outcomes? A Bibliometric Analysis and Case Study Presentation of Social Justice Research

Scott L. Graves Jr, Shanye Phillips, … Danita Thornton

Methodology

A PRISMA-Based Systematic Review of Measurements for School Bullying

Zhongju Xie, Wenyi Man, … Xinyuan Fu

Avoid common mistakes on your manuscript.

Bullying in school is a common experience for many children and adolescents. Such experiences relate to a range of adverse outcomes, including poor mental health, poorer academic achievement, and anti-social behaviour (Gini et al., 2018 ; Nakamoto & Schwartz, 2010 ; Valdebenito et al., 2017 ). Bullying research has increased substantially over the past 60 years, with over 5000 articles published between 2010 and 2016 alone (Volk et al., 2017 ). Much of this research focuses on the prevalence and antecedents of bullying, correlates of bullying, and the development and evaluation of anti-bullying interventions (Volk et al., 2017 ). The outcomes of this work for children and young people can therefore be life changing, and researchers should strive to ensure that their work is trustworthy, reliable, and accessible to a wide range of stakeholders both inside and outside of academia.

In recent years, the replication crisis has led to growing concern regarding the standard of research practices in the social sciences (Munafò et al., 2017 ). To address this, open science practices, such as openly sharing publications and data, conducting replication studies, and the pre-registration of research protocols, have provided the opportunity to increase the transparency and trustworthiness of the research process. In this paper, we aim to discuss the replication crisis and highlight the risks that questionable research practices pose for bullying research. We also aim to summarise open science practices and outline how these can benefit the broad spectrum of bullying research as well as to researchers themselves. Specifically, we aim to highlight how such practices can benefit both quantitative and qualitative research and studies employing a participatory research methods approach.

The Replication Crisis

In 2015, the Open Science Collaboration (Open Science Collaboration, 2015 ) conducted a large-scale replication of 100 published studies from three journals. The results questioned the replicability of research findings in psychology. In the original 100 studies, 97 reported a significant effect compared to only 35 of the replications. Furthermore, the effect sizes reported in the original studies were typically much larger than those found in the replications. The findings of the Open Science Collaboration received significant academic and mainstream media attention, which concluded that psychological research is in crisis (Wiggins & Chrisopherson, 2019 ). While these findings are based on the analysis of psychological research, challenges in replicating research findings have been reported in a range of disciplines including sociology (Freese & Peterson, 2017 ) and education studies (Makel & Pluker, 2014 ). Shrout and Rodgers ( 2018 ) suggest that the notion that science is in crisis is further supported by (1) the number of serious cases of academic misconduct such as that of Diederick Stapel (Nelson et al., 2018 ) and (2) the prevalence of questionable research practices and misuse of inferential statistics and hypothesis testing (see Ioannidis, 2005 ). The replication crisis has called into question the degree to which research across the social sciences accurately describes the world that we live in or whether this literature is overwhelmingly populated by misleading claims based on weak and error-strewn findings.

The trustworthiness of research reflects the quality of the method, rigour of the design, and the extent to which results are reliable and valid (Cook et al., 2018 ). Research on school bullying has grown exponentially in recent years (Smith & Berkkun, 2020 ) and typically focuses on understanding the nature, prevalence, and consequences of bullying to inform prevention and intervention efforts. If our research is not trustworthy, this can impede theory development and call into question the reliability of our research and meta-analytic findings (Friese & Frankenbach, 2020 ). Ultimately, if our research findings are untrustworthy, this undermines our efforts to prevent bullying and help and support young people. Bullying research exists within a broader academic research culture, which facilitates and incentivises the ways that research is undertaken and shared. As such, the issues that have been identified have direct relevance to those working in bullying.

The Incentive Culture in Academia

“The relentless drive for research excellence has created a culture in modern science that cares exclusively about what is achieved and not about how it is achieved.”

Jeremy Farrar, Director of the Wellcome Trust (Farrar, 2019 ).

In academia, career progression is closely tied to publication record. As such, academics feel under considerable pressure to publish frequently in high-quality journals to advance their careers (Grimes et al., 2018 ; Munafò et al., 2017 ). Yet, the publication process itself is biased toward accepting novel or statistically significant findings for publication (Renkewitz & Heene, 2019 ). This bias fuels a perception that non-significant results will not be published (the “file drawer problem”: Rosenthal, 1979 ). This can result in researchers employing a range of questionable research practices to achieve a statistically significant finding in order to increase the likelihood that a study will be accepted for publication. Taken together, this can lead to a perverse “scientific process” where achieving statistical significance is more important than the quality of the research itself (Frankenhuis & Nettle, 2018 ).

Questionable Research Practices

Questionable research practices (QRPs) can occur at all stages of the research process (Munafò et al., 2017 ). These practices differ from research misconduct in that they do not typically involve the deliberate intent to deceive or engage in fraudulent research practices (Stricker & Günther, 2019 ). Instead, QRPs are characterised by misrepresentation, inaccuracy, and bias (Steneck, 2006 ). All are of direct relevance to the work of scholars in the bullying field since each weakens our ability to achieve meaningful change for children and young people. QRPs emerge directly from “researcher degrees of freedom” that occur at all stages of the research process and which simply reflect the many decisions that researchers make with regard to their hypotheses, methodological design, data analyses, and reporting of results (see Wicherts et al., 2016 for an extensive list of researcher degrees of freedom). These decisions pose fundamental threats to how robust a study is as each compromises the likelihood that findings accurately model a psychological or social process (Munafò et al., 2017 ). QRPs include p -hacking; hypothesising after the result is known (HARKing); conducting studies with low statistical power; and the misuse of p values (Chambers et al., 2014 ). Such QRPs may reflect a misunderstanding of inferential statistics (Sijtsma, 2016 ). A misunderstanding of statistical theory can also lead to a lack of awareness regarding the nature and impact of QRPs (Sijtsma, 2016 ). This includes the prevailing approach to quantitative data analysis, Null Hypothesis Significance Testing (NHST) (Lyu et al., 2018 ; Travers et al., 2017 ), which is overwhelmingly the approach used in the bullying field. QRPs can fundamentally threaten the degree to which research in bullying can be trusted, replicated, and effective in efforts to implement successful and impactful intervention or prevention programs.

P -hacking (or data-dredging) reflects methods of re-analysing data in different ways to find a significant result (Raj et al., 2018 ). Such methods can include the selective deletion of outliers, selectively controlling for variables, recoding variables in different ways, or selectively reporting the results of structural equation models (Simonsohn et al., 2014 ). While there are various methods of p -hacking, the end goal is the same: to find a significant result in a data set, often when initial analyses fail to do so (Friese & Frankenbach, 2020 ).

There are no available data on the degree to which p -hacking is a problem in bullying research per se, but the nature of the methods commonly used mean it is a clear and present danger. For example, the inclusion of multiple outcome measures (allowing those with the “best” results to be cherry-picked for publication), measures of involvement in bullying that can be scored or analysed in multiple ways (e.g. as a continuous measure or as a method to categorise participants as involved or not), and the presence of a diverse selection of demographic variables (which can be selectively included or excluded from analyses) all provide researchers with an array of possible analytic approaches. Such options pose a risk for p -hacking as decisions can be made on the results of statistical fishing (i.e. hunting to find significant effects) rather than on any underpinning theoretical rationale.

P -hacking need not be driven by a desire to deceive; rather, it can be used by well-meaning researchers and their wish to honestly identify useful or interesting findings (Wicherts et al., 2016 ). Sadly, even in this case, the impact of p- hacking remains profoundly problematic for the field. The p- hacking process biases the literature towards erroneous significant results and inflated effect sizes, impacting on our understanding of any issue that we seek to understand better, and biasing effect size estimates reported in meta-analyses (Friese & Frankenbach, 2020 ). While such effects may seem remote or of only academic interest, they compromise all that we in the bullying field seek to accomplish because they make it much less likely that effective, impactful, and meaningful intervention and prevention strategies can be identified and implemented.

Typically, quantitative research follows the hypothetico-deductive model (Popper, 1959 ). From this perspective, hypotheses are formulated based on appropriate theory and previous research (Rubin, 2017 ). Once written, the study is designed, and data are collected and analysed (Rubin, 2017 ). Hypothesising after the result is known, or HARKing (Kerr, 1998 ), occurs when researchers amend their hypotheses to reflect their completed data analysis (Kerr, 1998 ). HARKing results in confusion between confirmatory and exploratory data analysis (Shrout & Rodgers, 2018 ), creating a literature where hypotheses are always confirmed and never falsified. This inhibits theory development (Rubin, 2017 ) in part because “progress” is, in fact, the accumulation of type 1 errors.

Low Statistical Power

Statistical power reflects the power in a statistical test to find an effect if there is one to find (Cohen, 2013 ). There are concerns regarding the sample sizes used in bullying research, as experiences of bullying are typically of a low frequency and positively skewed (Vessey et al., 2014 ; Volk et al., 2017 ). Low statistical power is problematic in two ways. First, it increases the type II error rate (the probability of falsely rejecting the null hypothesis), meaning that researchers may fail to report important and meaningful effects. Statistically significant effects can still be found under the conditions of low statistical power; however, the size of these effects is likely to be exaggerated due to a lower positive predictive value (the probability of a statistically significant result being genuine) (Button et al., 2013 ). In this case, researchers may find significant effects even in small samples, but those effects are at risk of being inflated.

QRPs in Qualitative Research

Apart from the previously discussed issues, there are also QRPs in qualitative work. Mainly, these involve issues pertaining to trustworthiness such as credibility, transferability, dependability, and confirmability (See Shenton, 2004 ). One factor that can influence perceptions about qualitative work is the possibility of subjectivity or different interpretations of the same data (Haven & Van Grootel, 2019 ). Additionally, the idea that the researcher will be biased and that their experiences, beliefs, and personal history will all influence how they both collect and interpret data has also been discussed (Berger, 2015 ). Clearly stating the positionality of the researcher and how their experiences informed their current research (the process of reflexivity) can help others better understand their interpretation of the data (Berger, 2015 ). Finally, one decision that qualitative researchers should consider when thinking about their designs is their stopping criteria. This might imply code or meaning saturation (see Hennink et al., 2017 , for more detail on how these two types are different from one another). Thus, making it clear in the conceptualisation process when and how the data collection will stop is important to assure transparency and high-quality research. This is not a complete list of QRPs in qualitative research, but these seem to be the most urgent when it comes to bullying research when thinking about open science.

The Prevalence and Impact of QRPs

Identifying the prevalence of QRPs and academic misconduct is challenging as this is reliant on self-reports. In their survey of 2155 psychologists, John et al. ( 2012 ) identified that 78% of participants had not reported all dependent measures, 72% had collected more data after finding their statistical effects were not statistically significant, 67% reported selective reporting of studies that “worked” (yielded a significant effect), and 9% reported falsifying data. Such problematic practices have serious implications for the reliability of effects reported in the research literature (John et al., 2012 ), which can impact interventions and treatments such evidence may inform. Furthermore, De Vries et al. ( 2018 ) have highlighted how biases in the publication process threaten the validity of treatment results reported in the literature. Although focused on the treatment of depression, their work has clear lessons for the bullying research community. They demonstrate how the bias towards reporting more positive, significant effects, distorts a literature in favour of treatments that appear efficacious but are much less so in practice (Box 1 ).

Box 1 The Replication Crisis

Munafò et al. ( 2017 ) outline a manifesto for reproducible research, highlighting problems with current research practices.

Shrout and Rodgers ( 2018 ) provide an overview of the replication crisis and questionable research practices.

Steneck ( 2006 ) provides a detailed overview of definitions of academic misconduct, questionable research practices, and academic integrity.

Open Science

Confronting these challenges can be daunting, but open science offers several strategies that researchers in the bullying field can use to increase the transparency, reproducibility, and openness of their research. The most common practices include openly sharing publications and data, encouraging replication, pre-registration, and open peer-review. Below, we provide an overview of open science practices, with a particular focus on pre-registration and replication studies. We recommend that researchers begin by using those practices that they can most easily integrate into their work, building their repertoire of open science actions over time. We provide a series of recommendations for the school bullying research community alongside summaries of useful supporting resources (Box 2 ).

Box 2 Key Reading on Open Science

Banks et al. ( 2019 ) discuss frequently asked questions about open science providing a good overview of open science practices and contemporary debates.

Crüwell et al. ( 2019 ) provide an annotated reading list on important papers in open science.

Gehlbach and Robinson ( 2021 ) in their introduction to a special edition of the journal Educational Psychologist they discuss the adoption of open science practices in the context of what they term “old school” research practices.

Lindsay ( 2020 ) outlines a series of steps researchers can take to integrate open science practices into their research.

Open Publication, Open Data, and Reporting Standards

Open publication.

Ensuring research publications are openly available by providing access to pre-print versions of papers or paying for publishers to make articles openly available is now a widely adopted practice (Concannon et al., 2019 ; McKiernan et al., 2016 ). Articles can be hosted on websites such as ResearchGate and/or on institutional repositories, allowing a wider pool of potential stakeholders to access relevant bullying research and increasing the impact of research (Concannon et al., 2019 ). This process also supports access for the research and practice communities in low- and middle-income countries where even Universities may be unable to pay journal subscriptions. The authors can also share pre-print versions of their papers for comment and review before submitting them to a journal for review using an online digital repository, such as PsyArXiv. Sharing publications in this way can encourage both early feedback on articles and the faster dissemination of research findings (Chiarelli et al., 2019 ).

Making data and data analysis scripts openly available is also encouraged, can enable further data analysis (e.g. meta-analysis), and facilitates replication (Munafò et al., 2017 ; Nosek & Bar-Anan, 2012 ). It also enables the collation of larger data sets, and secondary data analyses to test different hypotheses. Several publications on bullying in school are based on the secondary analysis of openly shared data (e.g. Dantchev & Wolke, 2019 ; Przybylski & Bowes, 2017 ) and highlight the benefits of such analyses. Furthermore, although limited in number, examples of papers on school bullying where data, research materials, and data analysis scripts are openly shared are emerging (e.g. Przybylski, 2019 ).

Bullying data often includes detailed personal accounts of experiences and the impact of bullying. Such data are highly sensitive, and there may be a risk that individuals can be identified. To address such sensitivities, Meyer ( 2018 ) (see box 3 ) proposes a tiered approach to the consent process, where participants are actively involved in decisions around what parts of their data and where their data are shared. Meyer ( 2018 ) also highlights the importance of selecting the right repository for your data. Some repositories are entirely open, whereas others only provide access to suitably qualified researchers. While bullying data pose particular ethical challenges, the sharing of all data is encouraged (Bishop, 2009 ; McLeod & O’Connor, 2020 ).

Reporting Standards

Reporting standards are standards for reporting a research study and provide useful guidance on what methodological and analytical information should be included in a research paper (Munafò et al., 2017 ). Such guidelines aim to ensure sufficient information is provided to enable replication and promote transparency (Munafò et al., 2017 ). Journal publishers are now beginning to outline what open science practices should be reported in articles. For example, from July 2021, when submitting a paper for review in one of the American Psychological Association journals, the authors are now required to state whether their data will be openly shared and whether or not their study was pre-registered. In a bullying context, Smith and Berkkun ( 2020 ) have highlighted that important contextual data is often missing from publications and recommend, for example, that the gender and age of participants alongside the country and date of data collection should be included as standard in papers on bullying in school.

Recommendations:

Researchers to start to share all research materials openly using an online repository. Box 3 provides some useful guidance on how to support the open sharing of research materials.

Journal editors and publishers to further promote the open sharing of research material.

Researchers to follow the recommendations set out by Smith and Berkkun ( 2020 ) and follow a set of reporting standards when reporting bullying studies.

Reviewers be mindful of Smith and Berkkun ( 2020 ) recommendations when reviewing bullying papers.

Box 3 Useful Resources on Openly Sharing Research Materials & Reporting Standards

Banks et al. ( 2019 ) provide a helpful overview of open science practices, alongside a set of recommendations for ensuring research is more open.

Meyer ( 2018 ) provides some useful guidance on managing the ethical issues of openly sharing data.

The Equator Network ( https://www.equator-network.org/reporting-guidelines/ ) is a useful resource for the sharing of different reporting standards, for example, the PRISMA guidelines for systematic reviews and STROBE standards for observational studies.

The Foster website is an online e-learning portal with a wealth of resources to help researchers develop open science practices https://www.fosteropenscience.eu/ , including sharing resources and pre-prints.

The Open Science Framework has resources to support open science practices and to use their platform https://www.cos.io/products/osf .

Smith and Berkkun ( 2020 ) provide a review of contextual information reported in bullying research papers and offer recommendations on what information to include.

The PsyArXiv https://psyarxiv.com and SocArXiv https://osf.io/preprints/socarxiv repositories accept pre-print publications in psychology and sociology.

Replication Studies

Replicated findings increase confidence in the reliability of that finding, ensuring research findings are robust and enabling science to self-correct (Cook et al., 2018 ; Drotar, 2010 ). Replication reflects the ability of a researcher to duplicate the results of a prior study with new data (Goodman et al., 2018 ). There are different forms of replication that can be broadly categorised into two: those that aim to recreate the exact conditions of an earlier study (exact/direct replication) and those that aim to test the same hypotheses again using a different method (conceptual replication) (Schmidt, 2009 ). Replication studies are considered fundamental in establishing whether study findings are consistent and trustworthy (Cook et al., 2018 ).

To date, few replication studies have been conducted on bullying in schools. A Web of Science search using the Boolean search term bully* alongside the search term “replication” identified two replication studies (Berdondini & Smith, 1996 ; Huitsing et al., 2020 ). Such a small number of replications may reflect concerns regarding the value of these and concerns about how to conduct such work when data collection is so time and resource-intensive. In addition, school gatekeepers are themselves interested in novelty and addressing their own problems and may be reluctant to participate in a study which has “already been done”. One possible solution to this challenge is to increase the number of large-scale collaborations among bullying researchers (e.g. multiple researchers across many sites collecting the same data). Munafò et al. ( 2017 ) highlight the benefits of collaboration and “team science” to build capacity in a research project. They argue that greater collaboration through team science would enable researchers to undertake higher-powered studies and relieve the pressure on single researchers. Such projects also have the benefit of increasing generalisability across settings and populations.

Undertake direct replications or, as a more manageable first step, include aspects of replication within larger studies.

Journal editors to actively promote the submission of replication studies on school bullying.

Journal editors, editorial panels, and reviewers to recognise the value of replication studies rather than favouring new or novel findings (Box 4 ).

Box 4 Useful Resources on Replication Studies

Brandt et al. ( 2014 ) provide a useful step by step guide on conducting replication studies, including a registration template form for pre-registering a replication study (available here: https://osf.io/4jd46/ ).

Coyne et al. ( 2016 ) discuss the benefits of replication to research in educational research (with a particular focus on special education).

Duncan et al. ( 2014 ) discuss the benefits of replication to research in developmental psychology.

Pre-Registration

Pre-registration requires researchers to set out, in advance of any data collection, their hypotheses, research design, and planned data analysis (van’t Veer & Giner-Sorolla, 2016 ). Pre-registering a study reduces the number of researcher degrees of freedom as all decisions are outlined at the start of a project. However, to date, there have been few pre-registered studies in bullying. There are two forms of pre-registration: the pre-registration of analysis plans and registered reports. In a pre-registered analysis plan, the hypotheses, research design, and analysis plan are registered in advance. These plans are then stored in an online repository (e.g. the Open Science Framework (OSF) or AsPredicted website), which is then time-stamped as a record of the planned research project (van’t Veer & Giner-Sorolla, 2016 ). Registered reports, however, integrate the pre-registration of methods and analyses into the publication process (Chambers et al., 2014 ). With a registered report, researchers can submit their introduction and proposed methods and analyses to a journal for peer review. This creates a two-tier peer-review process, where the registered reports can be accepted in principle or rejected in the first stage of review, based on the rigour of the proposed methods and analysis plans rather than on the findings of the study (Hardwicke & Ioannidis, 2018 ). In the second stage of the review process, the authors then submit the complete paper (at a later date after data have been collected and analyses completed), and this is also reviewed. The decision to accept a study is therefore explicitly based on the quality of the research process rather than the outcome (Frankenhuis & Nettle, 2018 ) and in practice, almost no work is ever rejected following an in-principal acceptance at stage 1 (C. Chambers, personal communication, December 11, 2020). At the time of writing, over 270 journals accept registered reports, many of which are directly relevant to bullying researchers (e.g. Developmental Science, British Journal of Educational Psychology, Journal of Educational Psychology).

Pre-registration offers one approach for improving the validity of bullying research. Employing greater use of pre-registration would complement other recommendations on how to improve research practices in bullying research. For example, Volk et al. ( 2017 ) propose a “bullying research checklist” (see Box 5 ).

Box 5 Volk et al. ( 2017 ) Bullying Research Checklist ( reproduced with permission )

State and justify your chosen definition of bullying.

Outline the theoretical logic underlying your hypotheses and how it pertains to your chosen definition and program of research/intervention.

Use one's logic model and theoretical predictions to determine which kind of measurements are most appropriate for testing one's hypotheses. There is no gold standard measure of bullying, but be aware of the strengths and weaknesses of the different types of measures. Where possible, use complementary forms of measurement and reporters to offset any weaknesses.

Implement an appropriate research or intervention design (longitudinal if possible) and recruit an appropriate sample.

Reflect upon the final product, its associations with the chosen logic model and theory, and explicitly discuss important pertinent limitations with a particular emphasis on issues concerning the theoretical validity of one's findings.

Volk et al.’s ( 2017 ) checklist highlights the importance of setting out in advance the definition of bullying, alongside the theoretical underpinnings for the hypotheses.

Pre-Registering Quantitative Studies

The pre-registration of quantitative studies requires researchers to state the hypotheses, method, and planned data analysis in advance of any data collection (van’t Veer & Giner-Sorolla, 2016 ). When outlining the hypotheses being tested, researchers are required to outline the background and theoretical underpinning of the study. This reflects the importance of theoretically led hypotheses (van’t Veer & Giner-Sorolla, 2016 ), which are more appropriately tested using NHST and inferential statistics in a confirmatory rather than exploratory design (Wagenmakers et al., 2012 ). Requiring researchers to state their hypotheses in advance of any data collection adheres to the confirmatory nature of inferential statistics and reduces the risk of HARKing (van’t Veer & Giner-Sorolla, 2016 ). Following a description of the hypotheses, researchers outline the details of the planned method, including the design of the study, the sample, the materials and measures, and the procedure. Information on the nature of the study and how materials and measures will be used and scored are outlined in full. Researchers are required to provide a justification for and an indication of the desired sample size.

The final stage of the pre-registration process requires researchers to consider and detail all steps of the data analysis process. The data analysis plan should be outlined in terms of what hypotheses are tested using what analyses and any plans for follow-up analysis (e.g. post hoc testing and any exploratory analyses). Despite concerns to the contrary (Banks et al., 2019 ; Gonzales & Cunningham, 2015 ), the aim of pre-registration is not to devalue exploratory research, but rather, to make more explicit what is exploratory and what is confirmatory (van’t Veer & Giner-Sorolla, 2016 ). While initially, the guidance on pre-registration focused more on confirmatory analyses, more recent guidance considers how researchers can pre-register exploratory studies (Dirnagl, 2020 ), and make a distinction between confirmatory versus exploratory research in the publication process (McIntosh, 2017 ). Irrespective of whether confirmatory or exploratory analyses are planned, pre-registering an analysis reduces the risk of p -hacking (van’t Veer & Giner-Sorolla, 2016 ). A final point, often a concern to those unfamiliar with open science practices, is that a pre-registration does not bind a researcher to a single way of analysing data. Changes to plans are entirely acceptable when they are deemed necessary and are described transparently.

Pre-Registering Qualitative Studies

Pre-registration of qualitative studies is still relatively new (e.g. Kern & Gleditsch, 2017a , b ; Piñeiro & Rosenblatt, 2016 ). This is because most of the work uses inductive and hypothesis-generating approaches. Coffman and Niederle ( 2015 ) argue that this hypothesis-generation is one of the most important reasons why pre-registering qualitative work is so important. This could help distinguish between what hypotheses are generated from the data and which were hypotheses conceptualised from the start. Therefore, it could even be argued that pre-registering qualitative research encourages exploratory work. Using pre-registration prior to a hypothesis-generating study will also help with the internal validity of this same study, as it will be possible to have a sense of how the research evolved from before to post data collection.

Using investigator triangulation, where multiple researchers share and discuss conclusions and findings of the data, and reach a common understanding, could improve the trustworthiness of a qualitative study (Carter et al., 2014 ). Similarly, where establishing intercoder reliability is appropriate, the procedures demonstrating how this is achieved can be communicated and recorded in advance. One example of this would be the use of code books. When analysing qualitative data, developing a code book that could be used by all the coders could help with intercoder reliability and overall trustworthiness (Guest et al., 2012 ). These are elements that could be considered in the pre-registration process by clearly outlining if intercoder reliability is used and, if so, how this is done. To improve the transparency of pre-registered qualitative work, it has also been suggested that researchers should clearly state whether, if something outside the scope of the interview comes to light, such novel experiences will also be explored with the participant (Haven & Van Grootel, 2019 ; Kern & Gleditsch, 2017a , b ). Issues of subjectivity, sometimes inherent to qualitative work, can be reduced as a result of pre-registering because it allows the researcher to clearly consider all the elements of the study and have a plan before data collection and analysis, which reduces levels of subjectivity.

Kern and Gleditsch ( 2017a , b ) provide some practical suggestions on how to use pre-registration with qualitative studies. For example, when using in-depth interviews, one should make the interview schedule and questions available to help others to comprehend what the participants were asked. Similarly, they suggest that all recruitment and sampling strategy plans should be included to improve transparency (Haven & Van Grootel, 2019 ; Kern & Gleditsch, 2017a , b ). Piñeiro and Rosenblatt ( 2016 ) provide an overview of how these pre-registrations could be achieved. They suggested three main elements: conceptualisation of the study, theory (inductive or deductive in nature), and design (working hypothesis, sampling, tools for data collection). More recently, Haven and Van Grootel ( 2019 ) highlighted a lack of flexibility in the existing pre-register templates to adapt to qualitative work, as such, they adapted an OSF template to a qualitative study.

Integrating Participatory Research Methods into Pre-Registration

Participatory research methods (PRMs) aim to address power imbalances within the research process and validate the local expertise and knowledge of marginalised groups (Morris, 2002 ). The key objective of PRM is to include individuals from the target population, also referred to as “local experts”, as meaningful partners and co-creators of knowledge. A scoping review of PRM in psychology recommends wider and more effective use (Levac et al., 2019 ). Researchers are calling specifically for youth involvement in bullying studies to offer their insight, avoid adult speculation, and assist in the development of appropriate support materials (O’Brien, 2019 ; O’Brien & Dadswell, 2020 ). PRM is particularly appropriate for research with children and young people who experience bullying behaviours given their explicit, defined powerlessness. Research has shown that engaging young people in bullying research, while relatively uncommon, provides lasting positive outcomes for both researchers and participants (Gibson et al., 2015 ; Lorion, 2004 ).

Pre-registration has rarely been used in research undertaking a PRM approach. It is a common misconception that pre-registration is inflexible and places constraints on the participant-driven nature of PRM (Frankenhuis & Nettle, 2018 ). However, pre-registration still allows for the exploratory and subjective nature of PRM but in a more transparent way, with clear rationale and reasoning. An appropriate pre-registration method for PRM can utilise a combination of both theoretical and iterative pre-registration. Using a pre-registration template, researchers should aim to document the research process highlighting the main contributing theoretical underpinnings of their research, with anticipatory hypotheses and complementary analyses (Haven & Van Grootel, 2019 ). This initial pre-registration can then be supported using iterative documentation detailing ongoing project development. This can include utilising workflow tools or online notebooks, which show insights into the procedure of co-researchers and collaborative decision making (Kern & Gleditsch, 2017a , b ). This creates an evidence trail of how the research evolved, providing transparency, reflexivity, and credibility to the research process.

The Perceived Challenges of Pre-Registration.

To date, there have been few pre-registered studies in bullying. A Web of Science search using the Boolean search terms bully* peer-vict*, pre-reg*, and preregist* identified four pre-registered studies on school bullying (Kaufman et al., 2022 ; Legate et al., 2019 ; Leung, 2021 ; Noret et al., 2021 ). The lack of pre-registrations may reflect concerns that it is a difficult, rigid, and time-consuming process. Reischer and Cowan ( 2020 ) note that pre-registration should not be seen as a singular time-stamped rigid plan but as an ongoing working model with modifications. Change is possible so long as this is clearly and transparently articulated, for example, in an associated publication or in an open lab notebook (Schapira et al., 2019 ). The move to pre-registering a study requires a change in workflow rather than more absolute work. However, this early and detailed planning (especially concerning analytical procedures) can improve the focus on the quality of the research process (Ioannidis, 2008 ; Munafò et al., 2017 ).

The Impact of Pre-Registration.

The impact of pre-registration on reported effects can be extensive. The pre-registration of funded clinical trials in medicine has been a requirement since 2000. In an analysis of randomised control trials examining the role of drugs or supplements for intervening in or treating cardiovascular disease, Kaplan and Irvin ( 2015 ) identified a substantial change in the number of significant effects reported once pre-registration was introduced (57% reported significant effects prior to the requirement but and only 8% after). More recently, Scheel et al. ( 2021 ) compared the results of 71 pre-registered studies in psychology with the results published in 152 studies that were not pre-registered. They found that only 44% of the pre-registered studies reported a significant effect, compared to 96% of studies that were not pre-registered. As a result, the introduction of pre-registration has increased the number of null effects reported in the literature and presents a more reliable picture of the effects of particular interventions.

When conducting your next research study on bullying, consider pre-registering the study.

Journal editors and publishers to actively encourage registered reports as a submission format.

The Benefits of Open Science for Researchers

Employing more open science practices can often be challenging, in part because they force us to reconsider methods that are already “successful” (often synonymous with “those which result in publication”). Based on our own experience, this takes time and is best approached by beginning small and building up to a wider application of the practices we have outlined in this article. Alongside increasing the reliability of research, open science practices are associated with several career benefits for the researcher. Articles which use open science practices are more likely to be accepted for publication, are more visible, and are cited more frequently (Allen & Mehler, 2019 ). Open science can also lead to the development of more supportive networks for collaboration (Allen & Mehler, 2019 ). In terms of career advancement, Universities are beginning to reward engagement with science principals in their promotion criteria. For example, the University of Bristol (UK) will consider open research practices such as data sharing and pre-registration in promotion cases in 2020–21. Given that formal recognition such as this has been recommended by the European Union for some time (O’Carroll et al., 2017 ), it is likely to be an increasingly important part of career progression in academia (Box 6 ).

Box 6 Pre-Registration

van't Veer and Giner-Sorolla ( 2016 ) provide a clear overview of the pre-registration process and provide a template for the pre-registration of studies.

Center for Open Science YouTube channel https://www.youtube.com/watch?v=PboPpcg6ik4 includes several webinars on pre-registration and the replication crisis. The OSF website also includes a number of pre-registration templates for researchers to use https://osf.io/zab38/wiki/home/?view , and provide a list of journals that accept registered reports https://www.cos.io/initiatives/registered-reports

Haven and Van Grootel ( 2019 ) review the issues around pre-registering of qualitative work and adapted an existing pre-registering OSF template to suit these types of studies.

This paper sought to clarify the ways in which bullying research is undermined by a failure to engage with open science practices. It highlighted the potential benefits of open science for the way we conduct research on bullying. In doing so, we aimed to encourage the greater use of open science practices in bullying research. Given the importance of this for the safety and wellbeing of children and young people, the transparency and reliability of this research is paramount and is enhanced via greater use of open science practices. Ultimately, researchers working in the field of bullying are seeking to accurately understand and describe the experiences of children and young people. Open science practices make it more likely that we will achieve this goal and, as a result, be well-placed to develop and implement successful evidence-based intervention and prevention programs.

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78 School Bullying Research Topics & Essay Examples

📝 school bullying research papers examples, 🏆 best school bullying essay titles, ❓ school bullying research questions.

Bullying in School and How to Minimize It The paper studies the phenomena of bullying in the school, its types and gives recommendations on how to minimize bullying.
Physical Injury Bullying in High School The research study provides a framework for understanding the various aspects of bullying such as causes, effects, and how it can be prevented.
School Bullying and Its Causes Bullying in schools has become a worldwide problem, and in some cases, its effects may have lasting implications on the victims.
Students’ Willingness to Report Threats of Violence in Campus Communities The study was undertaken by Michael Sulkowski from the University of Florida with the objective of extending prior work conducted on college-age populations on the same issue.
Bullying in School: Understanding and Dealing With It The purpose of this article is to understand the problem of bullying in schools, as well as possible methods of dealing with it.
Impact of Rising Cyberbullying on High School Performance This literature review of five articles seeks to clarify how an increase in cyberbullying affects high school academic performance.
How Teachers Deal With Bullying in the Classes The problem is that the teachers may take a lot of time addressing these acts of violence at the expense of instructional time in the classes.
Journal Article Review: Correlates of Physical Violence at School: A Multilevel Analysis of Australian High School Students The school's student interaction policy plays an important role in determining whether students will be violent or not.
School Violence Measures in the United States School violence is an urgent problem for most educational facilities in the United States. This discussion post will consider measures that can make schools safer.
Preventing Violence in the Education System The issue of preventing situations of violence in the education system is very relevant nowadays. Violence in school is exposed to every tenth student in the world.
Decision-Making and Bullying Problems Inside Our Schools Bullying is a serious problem that many schools are trying to battle. It can affect victims emotionally, socially, and academically.
Bullying in the School Environment Bullying has a negative impact on the academic performance of the victims since it limits their participation in the school environment.
A Strategy to Prevent Bias and Discrimination in School Practice In his school practice, as a strategy to prevent bias and discrimination, the author prefers to resort to the theory of contact.
How to Combat Bullying: An Action Plan This plan includes two strategies – sensitization and fostering a safe environment for students with disabilities.
Discrimination Against Children in Schools Most of a person's psychological problems arise in childhood and adolescence when parents and school are the main spheres of influence on the child.
Bullying of Disabled Children in School The purpose of this study is to evaluate the level of bullying of students with disabilities and special education needs.
Educational Anti-Bullying Programs This anti-bullying work includes an overview of harassment, as well as suggestions for developing a healthy school atmosphere and robust anti initiatives.
Bullying and Its Effects on Adolescents Bullying has vast societal implications for a large adolescent population, resulting in more abuse and consequential mental illnesses.
Peer Relations, Violence, and School Attendance: Analyses of Bullying in Senior High Schools in Ghana
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Bullying, Identity, and School Performance: Evidence From Chile
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Student on Student Violence in the School System. Student violence has been a major concern in the recent past. student-on-student violence involves crimes like bullying, beating, use of weapons, robbery and intimidation.
Bullying and Its Effects on School Across the United States
School Bullying and Teacher Professional Development
The Residential School System State-Sponsored Bullying
Bullying and Columbine High School
Effects Concerning School-age Bullying: A Retrospective
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Cyberbullying: Abuse and Old-school Bullying
Bullying and Its Effect on School Communities
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Bullying and Its Effects on School
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Middle School Advisory Programs: An Effective Anti Bullying
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Bullying and School Attendance: A Case Study of Senior High School
The Problem With Name-Calling and Bullying in School
Bullying and High School Dropout Rates
The Best Solution to Predict Depression Because of Bullying This paper examines interventions to prove that the Olweus Bullying Prevention Program is the most effective solution for predicting depression provoked by bullying.
Bullying Children and School Personnel Challenges
School Uniforms Should Stop Bullying With Anti Bullying
Bullying Prevention and School Safety
School Bullying and the Need for Policy Change
Physical and Verbal Bullying at School
Preventing School Bullying Through a Supervisory System
School Students Bullying and Harassment
Stuttering Among Schoolchildren: Teaching Interventions Communication speech impairments affect children, adolescents. People with stuttering experience bullying and difficulties in forming relationships from a very young age.
Bullying and Emotional Abuse Among School Children
School Bullying and Post-traumatic Stress Disorder Symptoms: The Role of Parental Bonding
Effects of Bullying and Victimization in Schools and the Victims
Dealing With a Bullying Target and How We Should Behave Around Them
Bullying and Problems of the Younger Generation
Bullying Is Not Just Anger and Meanness
Bullying and Lack of Contact With Peers
How Can Parents Prevent Bullying at School?
What Is the Nature and Consequences of School Bullying?
Does Bullying Affect High School-Aged Students?
What Is the School’s Involvement in Cyberbullying?
Are School-Based Anti Bullying Programs Decreasing the Rate of Victimization?
What Is the Relationship Between Bullying and Mass Shootings in Schools?
What Is the Relationship Between School Violence and Psychological Bullying?
How School Bullying Affects Bullies and Victims?
What Is the Connection Between the LGBT Community and School Bullying?
What Are the Causes and Effects of Bullying in School?
Can High School Dress Codes Stop Bullying?
How the Bystander Intervention and the Drowning Child Analogy Can Be Used in the School Bullying Cases?
Does Maternal Spanking Lead To Bullying Behavior at School?
Should There Be School Intervention Programs for Bullying Prevention?
What Is the Relationship Between School Bullying and Robbery and How It Affects People’s Lives?
What Are the Problems of Bullying and Victims in High School?
How Has Bullying Affected the Entire Student Population or the School Climate?
School Bullying: What Should Parents Do?
What Is Known About Bullying Between Schoolchildren?
What Is School Bullying From the Point of View of a Teacher?

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Bullying Research Paper

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Introduction

Bullying defined.

National Variation
The Importance of Age

Stability of Bullying Roles

Gender Differences

The Bully-Victim

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

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Bullying in School Research Paper

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

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

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

Bullying Prevalence and Continuity

National variation in bullying.

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

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

The Importance of Age in Bullying

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

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

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

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

Gender Differences in Bullying

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

Characteristics of Children and Adolescents Involved in Bullying

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

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

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

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

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

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

Environmental Influences on Bullying

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

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

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

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

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

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

Consequences of Bullying

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

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

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

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

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

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

Bullying Interventions

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

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

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

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

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

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

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

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

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

Bibliography:

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v.5(3); 2019 Mar

Cyberbullying and its influence on academic, social, and emotional development of undergraduate students

This study investigated the influence of cyberbullying on the academic, social, and emotional development of undergraduate students. It's objective is to provides additional data and understanding of the influence of cyberbullying on various variables affecting undergraduate students. The survey sample consisted of 638 Israeli undergraduate students. The data were collected using the Revised Cyber Bullying Survey, which evaluates the frequency and media used to perpetrate cyberbullying, and the College Adjustment Scales, which evaluate three aspects of development in college students. It was found that 57% of the students had experienced cyberbullying at least once or twice through different types of media. Three variables were found to have significant influences on the research variables: gender, religion and sexual preferences. Correlation analyses were conducted and confirmed significant relationships between cyberbullying, mainly through instant messaging, and the academic, social and emotional development of undergraduate students. Instant messaging (IM) was found to be the most common means of cyberbullying among the students.

The main conclusions are that although cyberbullying existence has been proven, studies of cyberbullying among undergraduate students have not been fully developed. This particular population needs special attention in future research. The results of this study indicate that cyberbullying has an influence on the academic, social, and emotional development of undergraduate students. Additional Implications of the findings are discussed.

1. Introduction

Cyberbullying is defined as the electronic posting of mean-spirited messages about a person (such as a student) often done anonymously ( Merriam-Webster, 2017 ). Most of the investigations of cyberbullying have been conducted with students in elementary, middle and high school who were between 9 and 18 years old. Those studies focused on examining the prevalence and frequency of cyberbullying. Using “cyberbullying” and “higher-education” as key words in Google scholar (January, 2019) (all in title) yields only twenty one articles. In 2009, 2012 and 2013 one article appeared each year, since 2014 each year there were few publications. Of these articles only seven relates to effect of cyberbullying on the students, thus a gap in the literature exists in that it only minimally reports on studies involving undergraduate students. Given their relationship and access to technology, it is likely that cyberbullying occurs frequently among undergraduates. The purpose of this study is to examine the frequency and media used to perpetrate cyberbullying, as well as the relationship that it has with the academic, social and emotional development of undergraduate students.

Undergraduate students use the Internet for a wide variety of purposes. Those purposes include recreation, such as communicating in online groups or playing games; academics, such as doing assignments, researching scholarships or completing online applications; and practical, such as preparing for job interviews by researching companies. Students also use the Internet for social communication with increasing frequency.

The literature suggests that cyberbullied victims generally manifest psychological problems such as depression, loneliness, low self-esteem, school phobias and social anxiety ( Grene, 2003 ; Juvonen et al., 2003 ; Akcil, 2018 ). Moreover, research findings have shown that cyberbullying causes emotional and physiological damage to defenseless victims ( Akbulut and Eristi, 2011 ) as well as psychosocial difficulties including behavior problems ( Ybarra and Mitchell, 2007 ), drinking alcohol ( Selkie et al., 2015 ), smoking, depression, and low commitment to academics ( Ybarra and Mitchell, 2007 ).

Under great emotional stress, victims of cyberbullying are unable to concentrate on their studies, and thus their academic progress is adversely affected ( Akcil, 2018 ). Since the victims are often hurt psychologically, the depressive effect of cyberbullying prevents students from excelling in their studies ( Faryadi, 2011 ). The overall presence of cyberbullying victimization among undergraduate college students was found to be significantly related to the experience of anxiety, depression, substance abuse, low self-esteem, interpersonal problems, family tensions and academic underperformance ( Beebe, 2010 ).

1.1. Cyberbullying and internet

The Internet has been the most useful technology of modern times, which has enabled entirely new forms of social interaction, activities, and organizing. This has been possible thanks to its basic features such as widespread usability and access. However, it also causes undesirable behaviors that are offensive or threatening to others, such as cyberbullying. This is a relatively new phenomenon.

According to Belsey (2006, p.1) , “Cyberbullying involves the use of information and communication technologies such as e-mail, cell-phone and pager text messages, instant messaging, defamatory personal web sites, blogs, online games and defamatory online personal polling web sites, to support deliberate, repeated, and hostile behavior by an individual or group that is intended to harm others.” Characteristics like anonymity, accessibility to electronic communication, and rapid audience spread, result in a limitless number of individuals that can be affected by cyberbullying.

Different studies suggest that undergraduate students' use of the Internet is more significant and frequent than any other demographic group. A 2014 survey of 1006 participants in the U.S. conducted by the Pew Research Center revealed that 97% of young adults aged from 18 to 29 years use the Internet, email, or access the Internet via a mobile device. Among them, 91% were college students.

1.2. Mediums to perpetrate cyberbullying

The most frequent and common media within which cyberbullying can occur are:

Electronic mail (email): a method of exchanging digital messages from an author to one or more recipients.

Instant messaging: a type of online chat that offers real-time text transmission between two parties.

Chat rooms: a real-time online interaction with strangers with a shared interest or other similar connection.

Text messaging (SMS): the act of composing and sending a brief electronic message between two or more mobile phones.

Social networking sites: a platform to build social networks or social relations among people who share interests, activities, backgrounds or real-life connections.

Web sites : a platform that provides service for personal, commercial, or government purpose.

Studies indicate that undergraduate students are cyberbullied most frequently through email, and least often in chat rooms ( Beebe, 2010 ). Other studies suggest that instant messaging is the most common electronic medium used to perpetrate cyberbullying ( Kowalski et al., 2018 ).

1.3. Types of cyberbullying

Watts et al. (2017) Describe 7 types of cyberbullying: flaming, online harassment, cyberstalking, denigration, masquerading, trickery and outing, and exclusion. Flaming involves sending angry, rude, or vulgar messages via text or email about a person either to that person privately or to an online group.

Harassment involves repeatedly sending offensive messages, and cyberstalking moves harassment online, with the offender sending threatening messages to his or her victim. Denigration occurs when the cyberbully sends untrue or hurtful messages about a person to others. Masquerading takes elements of harassment and denigration where the cyberbully pretends to be someone else and sends or posts threatening or harmful information about one person to other people. Trickery and outing occur when the cyberbully tricks an individual into providing embarrassing, private, or sensitive information and posts or sends the information for others to view. Exclusion is deliberately leaving individuals out of an online group, thereby automatically stigmatizing the excluded individuals.

Additional types of cyberbullying are: Fraping - where a person accesses the victim's social media account and impersonates them in an attempt to be funny or to ruin their reputation. Dissing - share or post cruel information online to ruin one's reputation or friendships with others. Trolling - is insulting an individual online to provoke them enough to get a response. Catfishing - steals one's online identity to re-creates social networking profiles for deceptive purposes. Such as signing up for services in the victim's name so that the victim receives emails or other offers for potentially embarrassing things such as gay-rights newsletters or incontinence treatment. Phishing - a tactic that requires tricking, persuading or manipulating the target into revealing personal and/or financial information about themselves and/or their loved ones. Stalking – Online stalking when a person shares her personal information publicly through social networking websites. With this information, stalkers can send them personal messages, send mysterious gifts to someone's home address and more. Blackmail – Anonymous e-mails, phone-calls and private messages are often done to a person who bear secrets. Photographs & video - Threaten to share them publicly unless the victim complies with a particular demand; Distribute them via text or email, making it impossible for the victim to control who sees the picture; Publish the pictures on the Internet for anyone to view. Shunning - persistently avoid, ignore, or reject someone mainly from participating in social networks. Sexting - send sexually explicit photographs or messages via mobile phone.

1.4. Prevalence of cyberbullying

Previous studies have found that cyberbullying incidents among college students can range from 9% to 34% ( Baldasare et al., 2012 ).

Beebe (2010) conducted a study with 202 college students in United States. Results indicated that 50.7% of the undergraduate students represented in the sample reported experiencing cyberbullying victimization once or twice during their time in college. Additionally, 36.3% reported cyberbullying victimization on a monthly basis while in college. According to Dılmaç (2009) , 22.5% of 666 students at Selcuk University in Turkey reported cyberbullying another person at least once and 55.35% reported being a victim of cyberbullying at least once in their lifetimes. In a study of 131 students from seven undergraduate classes in United States, 11% of the respondents indicated having experienced cyberbullying at the university ( Walker et al., 2011 ). Of those, Facebook (64%), cell phones (43%) and instant messaging (43%) were the most frequent technologies used. Students indicated that 50% of the cyberbullies were classmates, 57% were individuals outside of the university, and 43% did not know who was cyberbullying them.

Data from the last two years (2017–18) is similar to the above. A research, of 187 undergraduate students matriculated at a large U.S. Northeastern metropolitan Roman Catholic university ( Webber and Ovedovitz, 2018 ), found that 4.3% indicated that they were victims of cyberbullying at the university level and a total of 7.5% students acknowledged having participated in bullying at that level while A survey (N = 338) at a large midwestern university conducted by Varghese and Pistole (2017) , showed that frequency counts indicated that 15.1% undergraduate students were cyberbully victims during college, and 8.0% were cyberbully offenders during college.

A study of 201 students from sixteen different colleges across the United States found a prevalence rate of 85.2% for college students who reported being victims of cyberbullying out of the total 201 responses recorded. This ranged from only occasional incidents to almost daily experiences with cyberbullying victimization ( Poole, 2017 ).

In A research of international students, 20.7% reported that they have been cyberbullied in the last 30 days once to many times ( Akcil, 2018 ).

1.5. Psychological impact of cyberbullying

Cyberbullying literature suggests that victims generally manifest psychological problems such as depression, anxiety, loneliness, low self-esteem, social exclusion, school phobias and poor academic performance ( DeHue et al., 2008 ; Juvonen and Gross, 2008 ; Kowalski and Limber, 2007 ; Grene, 2003 ; Juvonen et al., 2003 ; Rivituso, 2012 ; Varghese and Pistole, 2017 ; Na, 2014 ; Akcil, 2018 ), low self-esteem, family problems, school violence and delinquent behavior ( Webber and Ovedovitz, 2018 ), which brings them to experience suicidal thoughts as a means of escaping the torture ( Ghadampour et al., 2017 ).

Moreover, research findings have shown that cyberbullying causes emotional and physiological damage to defenseless victims ( Faryadi, 2011 ) as well as psychosocial problems including inappropriate behaviors, drinking alcohol, smoking, depression and low commitment to academics ( Walker et al., 2011 ).

The victims of cyberbullying, under great emotional stress, are unable to concentrate on their studies, and thus their academic progress is adversely affected ( Faryadi, 2011 ). Since the victims are often hurt psychologically, the depressive effect of cyberbullying prevents students from excelling in their studies ( Faryadi, 2011 ).

In a Malaysian university study with 365 first year students, the majority of the participants (85%) interviewed indicated that cyberbullying affected their academic performance, specifically their grades ( Faryadi, 2011 ). Also, 85% of the respondents agreed that bullying caused a devastating impact on students' emotions and equally caused unimaginable psychological problems among the victims. Heiman and Olenik-Shemesh (2018) report that for students with learning disabilities, predictors of cybervictimization were low social support, low self-perception, and being female, whereas for students without learning disabilities, the predictors were low social support, low well-being, and low body perception.

1.6. Academic, social, and emotional development of undergraduate students

The transition to academic institutions is marked by complex challenges in emotional, social, and academic adjustment ( Gerdes and Mallinckrodt, 1994 ; Parker et al., 2004 ).

The adaptation to a new environment is an important factor in academic performance and future achievement. Undergraduate students are not only developing academically and intellectually, they are also establishing and maintaining personal relationships, developing an identity, deciding about a career and lifestyle, and maintaining personal health and wellness. Many students are interacting with people from diverse backgrounds who hold different values and making new friends. Some are also adapting to living away from home for the very first time ( Inkelas et al., 2007 ).

The concept of academic development involves not only academic abilities, but motivational factors, and institutional commitment. Motivation to learn, taking actions to meet academic demands, a clear sense of purpose, and general satisfaction with the academic environment are also important components of the academic field ( Lau, 2003 ).

A second dimension, the social field, may be as important as academic factors. Writers have emphasized integration into the social environment as a crucial element in commitment to a particular academic institution ( Tinto, 1975 ). Becoming integrated into the social life of college, forming a support network, and managing new social freedoms are some important elements of social development. Crises in the social field include conflict in a living situation, starting or maintaining relationships, interpersonal conflicts, family issues, and financial issues ( McGrath, 2005 ), which are manifested as feelings of loneliness ( Clark et al., 2015 ).

In the emotional field, students commonly question their relationships, direction in life, and self-worth ( Rey et al., 2011 ). A balanced personality is one which is emotionally adjusted. Emotional adjustment is essential for creating a sound personality. physical, intellectual mental and esthetical adjustments are possible when emotional adjustment is made ( Ziapour et al., 2018 ). Inner disorders may result from questions about identity and can sometimes lead to personal crises ( Gerdes and Mallinckrodt, 1994 ). Emotional problems may be manifested as global psychological distress, somatic distress, anxiety, low self-esteem, or depression. Impediments to success in emotional development include depression and anxiety, stress, substance abuse, and relationship problems ( Beebe, 2010 ).

The current study is designed to address two research questions: (1) does cyberbullying affect college students' emotional state, as measured by the nine factors of the College Adjustment Scales ( Anton and Reed, 1991 ); (2) which mode of cyberbullying most affects students' emotional state?

2.1. Research settings and participants

The present study is set in Israeli higher education colleges. These, function as: (1) institutions offering undergraduate programs in a limited number of disciplinary fields (mainly the social sciences), (2) centers for training studies (i.e.: teacher training curricula), as well as (3) as creators of access to higher education. The general student population is heterogeneous, coming from the Western Galilee. In this study, 638 Israeli undergraduate students participated. The sample is a representative of the population of the Western galilee in Israel. The sample was 76% female, 70% single, 51% Jewish, 27% Arabs, 7% Druze, and 15% other ethnicity. On the dimension of religiosity, 47% were secular, 37% traditional, 12% religious, 0.5% very religious, and 3.5% other. On the dimension of sexual orientation, 71% were straight women, 23.5% straight men, 4% bisexual, 1% lesbians, and 0.5% gay males (note: according to the Williams Institute, approximately 4% of the population in the US are LGBT, [ Gates, 2011 ], while 6% of the EU population are LGBT, [ Dalia, 2016 ]).

2.2. Instrumentation

Two instruments were used to collect data: The Revised Cyber Bullying Survey (RCBS), with a Cronbach's alpha ranging from .74 to .91 ( Kowalski and Limber, 2007 ), designed to measure incidence, frequency and medium used to perpetrate cyberbullying. The survey is a 32-item questionnaire. The frequency was investigated using a 5-item scale with anchors ranging from ‘it has never happened to me’ to ‘several times a week’. Five different media were explored: email, instant messaging, chat room, text messaging, and social networking sites. Each medium was examined with the same six questions related to cases of cyberbullying (see Table 1 ).

Description of the Revised Cyber Bullying Survey (RCBS) variables.

Note: the theoretical range is between zero to twenty-four.

Table 1 shows the five variables that composed the RCBS questionnaire (all of the variables are composed of 6 statements). The results indicate that the levels of all the variables is very low, which means that the respondents experienced cyberbullying once or twice. The internal consistency reliability estimate based on the current sample suggested that most of the variables have an adequate to high level of reliability, with a Cronbach's alpha of 0.68–0.87.

The College Adjustment Scales (CAS) ( Anton and Reed, 1991 ), evaluated the academic, social, and emotional development of college students. Values were standardized and validated for use with college students. The validity for each subscale ranged from .64 to .80, noting high correlations among scales. Reliability of the scales ranged from .80 to .92, with a mean of .86. The instrument included 128 items, divided into 10 scales: anxiety, depression, suicidal ideation, substance abuse, self-esteem problems, interpersonal problems, family problems, academic problems, career problems, and regular activities (see Table 2 ). Students responded to each item using a four-point scale.

Description of CAS variables.

Anxiety: A measure of clinical anxiety, focusing on common affective, cognitive, and physiological symptoms.

Depression: A measure of clinical depression, focusing on common affective, cognitive, and physiological symptoms.

Suicidal Ideation: A measure of the extent of recent ideation reflecting suicide, including thoughts of suicide, hopelessness, and resignation.

Substance Abuse: A measure of the extent of disruption in interpersonal, social, academic, and vocational functioning as a result of substance use and abuse.

Self-esteem Problems: A measure of global self-esteem which taps negative self-evaluations and dissatisfaction with personal achievement.

Interpersonal Problems: A measure of the extent of problems in relating to others in the campus environment.

Family Problems: A measure of difficulties experienced in relationships with family members.

Academic Problems: A measure of the extent of problems related to academic performance.

Career Problems: A measure of the extent of problems related to career choice.

Participants also responded to a demographic questionnaire that included items on gender, birth year, marital status, ethnicity, and sexual orientation. As sexual orientation is a major cause for bullying ( Pollock, 2006 ; Cahill and Makadon, 2014 ), it was included in the background information.

Convenience sampling and purposive sampling were used for this study. Surveys with written instructions were administered in classrooms, libraries and online via Google Docs at the end of the semester.

The surveys were translated to Hebrew and back translated four times until sufficient translation was achieved. The research was approved by the Western Galilee College Research and Ethic Committee.

A sizeable percentage, 57.4% (366), of the respondents reported being cyber bullied at least once and 3.4% (22) reported being cyber bullied at least once a week. The types of bullies can be seen in Fig. 1 .

Types of bullies.

Three variables were found to have significant influences on the research variables: (1) gender (see Table 3 ); (2) religion (see Table 4 ); and (3) sexual preferences (see Table 5 ).

Results of independent t-tests for research variables by gender.

Note: n male = 127, n female = 510, *p < .05.

Results of independent t-tests for research variables by level of religion.

Note: n religious = 345, n secular = 293, ∗ p < .05, ∗∗ p < .01, ∗∗∗ p < .001.

Results of independent t-tests for research variables by sexual preference.

Note: n heterosexual = 596, n other = 42, ∗ p < .05, ∗∗ p < .01, ∗∗∗ p < .001.

Independent t-tests between the CAS variables and gender show significant differences between females and males (see Table 3 ).

Independent t-tests between the CAS variables and level of religiosity show significant differences between secular and religious persons, i.e., observant believers (see Table 4 ).

Independent t-tests between the CAS variables and sexual preference show significant differences between heterosexual individuals and others (see Table 5 ).

The research population was divided into three age groups having five year intervals. One respondent who was 14 years old was removed from the population.

For the variable “career problems” it was found that there was a significant difference between the 26–30 year age group [p < .05, F(2,5815) = 3.49, M = 56.55] and the 31–35 (M = 56.07) as well as the 20–25 (M = 54.58) age groups.

For the variable "depression" it was found that there was a significant difference between the 20–25 year age group [p < .05, F(2,5815) = 3.84, M = 54.56] and the 31–35 (M = 51.61) as well as the 26–30 (M = 52.83) age groups.

For the variable “interpersonal problems” it was found that there was a significant difference between the 20–25 year age group [p < .06, F(2,5815) = 3.84, M = 53.85] and the 31–35 (M = 51.29) as well as the 26–30 (M = 52.19) age groups.

For the variable “suicidal ideation” it was found that there was a significant difference between the 20–25 year age group [p < .06, F(2,5815) = 3.84, M = 55.45] and the 31–35 (M = 49.71) as well as the 26–30 (M = 50.13) age groups (see Table 6 ).

Results of one way Anova for research variables by age.

Note: n 20-25 = 216, n 26-30 = 287, n 31-35 = 82, ∗ p < .05, ∗∗ p < .01, ∗∗∗ p < .001.

To confirm that there was no effect among the independent variables, a Pearson correlation analysis of cyberbullying with CAS variables was run. As the correlations between the independent variables are weak, no multicollinearity between them was noted (see Table 7 ).

Pearson correlation of cyberbullying with CAS variables.

Note: n = 638, ∼ p < .06, ∗ p < .05, ∗∗ p < .01, ∗∗∗ p < .001.

Regression analyses on the effect of the cyberbullying variables on the CAS variables (see Fig. 2 ) show that an increase in cyberbullying by social networking and IM increases the academic problems variable. The model explained 6.1% of the variance (F (13,585) = 2.94, p < .001) and shows an increase in the suicidal ideation variable. There is also a marginal effect of cyberbullying by SMS on suicidal ideation, revealing that an increase in cyberbullying by SMS causes a decrease in suicidal ideation. The explained variance of the model is 24.8% (F (11,584) = 14.80, p < .001). Higher cyberbullying by social networking results in an increase in the anxiety variable. The explained variance of the model is 8.8% (F (13,584) = 4.32, p < .001). An increase in cyberbullying by chat and IM shows an increase in the substance abuse variable. The model explains 13% of the variance (F (13,584) = 6.71, p < .001). Increasing cyberbullying by social networking and IM increases the self-esteem problems variable. The explained variance of the model is 9% (F (13,584) = 4.43, p < .001). An increase of cyberbullying by email increases the problems students have with regular activities. The explained variance of the model is 5.2% (F (13,575) = 2.44, p < .01). Heightened cyberbullying by social networking and IM increases students' interpersonal problems. There is also an effect of cyberbullying by IM on suicidal ideation, such that an increase in cyberbullying by IM causes a decrease in interpersonal problems. The explained variance of the model is 8% (F (13,584) = 3.89, p < .001). An increase in cyberbullying by SMS decreases the family problems variable. The explained variance of the model is 11.4% (F (13,584) = 5.76, p < .001). And finally, heightened cyberbullying by IM and social networking decreases the depression variable. The variance explained by the model is 11.9% (F (13,584) = 6.04, p < .001).

The influence of academic cyberbullying variables on the CAS variables.

4. Discussion

The objective of this study was to fill an existing gap in the literature regarding the influence of cyberbullying on the academic, social, and emotional development of undergraduate students.

As has been presented, cyberbullying continues to be a disturbing trend not only among adolescents but also undergraduate students. Cyberbullying exists in colleges and universities, and it has an influence on the development of students. Fifty seven percent of the undergraduate students who participated in this study had experienced cyberbullying at least once during their time in college. As previous studies have found that cyberbullying incidents among college students can range from 9% to 50% ( Baldasare et al., 2012 ; Beebe, 2010 ) it seems that 57% is high. Considering the effect of smartphone abundance on one hand and on the other the increasing use of online services and activities by young-adults can explain that percentage.

Considering the effect of such an encounter on the academic, social and emotional development of undergraduate students, policy makers face a formidable task to address the relevant issues and to take corrective action as Myers and Cowie (2017) point out that due to the fact that universities are in the business of education, it is a fine balancing act between addressing the problem, in this case cyberbullying, and maintaining a duty of care to both the victim and the perpetrator to ensure they get their degrees. There is a clear tension for university authorities between acknowledging that university students are independent young adults, each responsible for his or her own actions, on one hand, and providing supervision and monitoring to ensure students' safety in educational and leisure contexts.

Although there are increasing reports on connections between cyberbullying and social-networks (see: Gahagan et al., 2016 ), sending SMS or MMS messages through Internet gateways ensures anonymity, thus indirectly supporting cyberbullying. A lot of websites require only login or a phone number that can also be made up ( Gálik et al., 2018 ) which can explain the fact that instant-messaging (IM) was found to be the most common means of cyberbullying among undergraduate students with a negative influence on academic, family, and emotional development (depression, anxiety, and suicidal ideation). A possible interpretation of the higher frequency of cyberbullying through IM may be that young adults have a need to be connected.

This medium allows for being online in ‘real time’ with many peers or groups. With the possibility of remaining anonymous (by creating an avatar – a fake profile) and the possibility of exposing private information that remains recorded, students who use instant messaging become easy targets for cyberbullying. IM apps such as WhatsApp are extremely popular as they allow messages, photos, videos, and recordings to be shared and spread widely and in real time.

Students use the Internet as a medium and use it with great frequency in their everyday lives. As more aspects of students' lives and daily affairs are conducted online, coupled with the fact that excessive use may have consequences, it is important for researchers and academic policy makers to study the phenomenon of cyberbullying more deeply.

Sexual orientation is also a significant factor that increases the risk of victimization. Similarly, Rivers (2016) documented the rising incidence of homophobic and transphobic bullying at university and argues strongly for universities to be more active in promoting tolerance and inclusion on campus. It is worth noting that relationships and sexual orientation probably play a huge role in bullying among university students due to their age and the fact that the majority of students are away from home and experiencing different forms of relationships for the first time. Faucher et al. (2014) actually found that same sex cyberbullying was more common at university level than at school. Nonetheless, the research is just not there yet to make firm conclusions.

Finally, cyberbullying is not only an adolescent issue. Although its existence has been proven, studies of cyberbullying among undergraduate students have not been fully developed. This particular population needs special attention in future research.

The results of this study indicate that cyberbullying has an influence on the academic, social, and emotional development of undergraduate students.

In the academic field, findings revealed a statistically significant correlation between cyberbullying perpetrated by email and academic problems. Relationships between academic problems and cyberbullying perpetrated by other media were not found. This suggests that cyberbullying through instant messaging, chat room, text messaging, and social networking sites, have not influenced academic abilities, motivation to learn, and general satisfaction with the academic environment. However, cyberbullying perpetrated by email has an influence on academics, perhaps because of the high use of this medium among undergraduate students.

With regard to career problems, correlations with cyberbullying were not found. This indicates that cyberbullying has no influence on career problems, perhaps because these kinds of problems are related to future career inspirations, and not to the day-to-day aspects of a student's life.

In the social field, it was found that interpersonal problems such as integration into the social environment, forming a support network, and managing new social freedoms, were related to cyberbullying via social networking sites. This finding is consistent with the high use of social networking sites, the purpose of the medium, and the reported episodes of cyberbullying in that medium.

Family problems were also related to cyberbullying perpetrated by all kinds of media. This may indicate that as cyberbullying through the use of email, instant messaging, chat rooms, text messaging, and social networking sites increases, so do family problems. This could be due to the strong influence that cyberbullying generates in all the frameworks of students, including their families.

Finally, in the emotional field, correlations between cyberbullying perpetrated by all kinds of media and substance abuse were found. This may indicate that as cyberbullying through the use of email, instant messaging, chat rooms, text messaging, and social networking sites increases, so does substance abuse. This is important because cyberbullying may be another risk factor for increasing the probability of substance abuse.

Depression and suicidal ideation were significantly related to the same media – email instant messaging and chat cyberbullying – suggesting that depression may lead to a decision of suicide as a solution to the problem. Previous findings support the above that being an undergraduate student – a victim of cyberbullying emerges as an additional risk factor for the development of depressive symptoms ( Myers and Cowie, 2017 ). Also Selkie et al. (2015) reported among 265 female college students, being engaged in cyberbullying as bullies, victims, or both led to higher rates of depression and alcohol use.

Relationships between anxiety and cyberbullying, through all the media, were not found although Schenk and Fremouw (2012) found that college student victims of cyberbullying scored higher than matched controls on measures of depression, anxiety, phobic anxiety, and paranoia. This may be because it was demonstrated that anxiety is one of the most common reported mental health problems in all undergraduate students, cyberbullied or not.

Self-esteem problems were significantly related to cyberbullying via instant messaging, social networking sites, and text messaging. This may suggest that as cyberbullying through instant messaging, social networking sites, and text messaging increases, so do self-esteem problems. This is an important finding, given that these were the media with more reported episodes of cyberbullying.

5. Conclusions

This findings of this study revealed that cyberbullying exists in colleges and universities, and it has an influence on the academic, social, and emotional development of undergraduate students.

It was shown that cyberbullying is perpetrated through multiple electronic media such as email, instant messaging, chat rooms, text messaging, and social networking sites. Also, it was demonstrated that students exposed to cyberbullying experience academic problems, interpersonal problems, family problems, depression, substance abuse, suicidal ideation, and self-esteem problems.

Students have exhibited clear preferences towards using the Internet as a medium and utilize it with great frequency in their everyday lives. As more and more aspects of students' lives are conducted online, and with the knowledge that excessive use may have consequences for them, it is important to study the phenomenon of cyberbullying more deeply.

Because college students are preparing to enter the workforce, and several studies have indicated a trend of cyberbullying behavior and victimization throughout a person's lifetime ( Watts et al., 2017 ), the concern is these young adults are bringing these attitudes into the workplace.

Finally, cyberbullying is not only an adolescent issue. Given that studies of cyberbullying among undergraduate students are not fully developed, although existence of the phenomenon is proven, we conclude that the college and university population needs special attention in future areas of research. As it has been indicated by Peled et al. (2012) that firm policy in regard to academic cheating reduces its occurrence, colleges should draw clear guidelines to deal with the problem of cyberbullying, part of it should be a safe and if needed anonymous report system as well as clear punishing policy for perpetrators.

As there's very little research on the effect of cyberbullying on undergraduates students, especially in light of the availability of hand held devices (mainly smartphones) and the dependence on the internet for basically every and any activity, the additional data provided in this research adds to the understanding of the effect of cyberbullying on the welfare of undergraduate students.

Declarations

Author contribution statement.

Yehuda Peled: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Competing interest statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

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Objective To examine recent trends in bullying and mental health problems among adolescents and the association between them. Method 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 ...
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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 ...
Bullying in children: impact on child health
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 ...
Open Science: Recommendations for Research on School Bullying
Bullying in school is a common experience for many children and adolescents. Such experiences relate to a range of adverse outcomes, including poor mental health, poorer academic achievement, and anti-social behaviour (Gini et al., 2018; Nakamoto & Schwartz, 2010; Valdebenito et al., 2017).Bullying research has increased substantially over the past 60 years, with over 5000 articles published ...
78 School Bullying Research Topics & Essay Examples
Physical Injury Bullying in High School. The research study provides a framework for understanding the various aspects of bullying such as causes, effects, and how it can be prevented. School Bullying and Its Causes. Bullying in schools has become a worldwide problem, and in some cases, its effects may have lasting implications on the victims.
Bullying: What We Know Based On 40 Years of Research
WASHINGTON — A special issue of American Psychologist® provides a comprehensive review of over 40 years of research on bullying among school age youth, documenting the current understanding of the complexity of the issue and suggesting directions for future research. "The lore of bullies has long permeated literature and popular culture.
Research Topic: Bullying
Bullying involvement is associated with feelings of being unsafe, poor relationships and social support, poor academic outcomes, and an increased risk of depression and other mental health issues. Friends (64%) followed by parents or guardians (57%) and then teachers and other staff members (46%) are the people students most commonly turn to ...
Effectiveness of school‐based programs to reduce bullying perpetration
The aim of this paper is to provide an up‐to‐date systematic and meta‐analytical exploration of the effectiveness of school‐based antibullying programs. ... Based on the title and abstract, a total of 474 primary studies were identified as relevant, were obtained and subjected to further screening. ... " Canadian research network has ...
Full article: Bullying and cyberbullying: a bibliometric analysis of
Introduction. Bullying has been considered "one of the most outstanding topics in educational research" (Espinosa, Citation 2018), a public health problem among children and adolescents (Chester et al., Citation 2015), and also a reason for concern in schools and communities (Bradshaw, Citation 2015).According to the PISA 2018 report, on average, 23% of students reported being bullied at ...
Bullying Research Paper
Bullying Research Paper. Bullying Research Paper. This sample bullying research paper features: 4600 words (approx. 15 pages), an outline, and a bibliography with 28 sources. Browse other research paper examples for more inspiration. If you need a thorough research paper written according to all the academic standards, you can always turn to ...
Cyberbullying and its influence on academic, social, and emotional
A research, of 187 undergraduate students matriculated at a large U.S. Northeastern metropolitan Roman Catholic university (Webber and Ovedovitz, 2018), found that 4.3% indicated that they were victims of cyberbullying at the university level and a total of 7.5% students acknowledged having participated in bullying at that level while A survey ...

124 Bullying Essay Topics

165 Bullying Research Topics: Qualitative & Quantitative

⚠️ Types of Bullying

🚀 Bullying Research Paper Outline

❓ Top 12 Bullying Research Questions

💡 Qualitative Bullying Topics for Research Papers

📊 Quantitative Bullying Research Paper Topics

🖥️ Bullying Research Topics: Cyberbullying

🕵️ Bullying Research Titles: Crime and Law

Bullying Research Paper Introduction

Bullying Thesis Statement: How to Write

Main Body & Topic Sentences for Bullying Research Paper

Bullying Conclusion Paragraph: Writing Tips

78 Cyber Bullying Essay Topic Ideas & Examples

80 Bullying Essay Topics

Bullying Essay Guide: Topics, Selection, and Writing Tips

How to Choose the Best Bullying Essay Topic?

Bullying Essay Topics

Cyberbullying Topics:

Anti-Bullying Topics:

General Bullying Topics:

Cyberbullying Themes:

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

Conclusions

Introduction

Participants

Study outcome

Primary exposure

Statistical analyses

Prevalence of bullying at school and mental health problems

Associations between bullying at school and mental health problems

Strengths and limitations

Availability of data and materials

Code availability

Acknowledgements

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Corresponding author

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Child and Adolescent Psychiatry and Mental Health

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

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CONTEXT FOR THE STUDY

Historical Context

Federal Efforts to Address Bullying and Related Topics

Definitional Context

THE COMMITTEE’S APPROACH

Information Gathering

Terminology

ORGANIZATION OF THE REPORT

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