Study Notes on Bystander Intervention in Adolescent Bullying

Bullying presents ongoing challenges to student safety and well-being in schools.
Many instruments do not address bystander behavior.
Study of 3,717 middle and high school students across 14 western US schools.
Increased friendship with targets led to more defending and successful intervention.
Gender influences responses: female students more likely to report, male students more likely to fight back.
Racial alignment affects reporting rates and intervention success, indicating in-group favoritism.
Physical bullying prompted more intervention than verbal or relational bullying, which was more frequent.
Emphasis on culturally responsive and relationship-focused interventions to enhance bystander engagement.

Bullying is prevalent worldwide, concerning educators, researchers, and policymakers (Gaffney et al., 2021).
Approx. 22% of US students (ages 12-18) report being bullied yearly (NCES, 2021).
- Types of bullying include physical, verbal, relational, and cyber bullying (Basile et al., 2020; Waasdorp & Bradshaw, 2015).
- Many students face multiple bullying types, often verbal or relational.
Consequences of bullying:
- Absenteeism (Baams et al., 2017; Hutzell & Payne, 2012).
- Mental health issues: depression, anxiety, suicidal ideation (Cao et al., 2021; Eyuboglu et al., 2021; Menken et al., 2022).
- Lower self-esteem (Atay et al., 2022).
- Perpetrators at risk for substance abuse and criminality (Copeland et al., 2013; Farrington & Ttofi, 2011).
Importance of bystanders in bullying scenarios, with their actions either reinforcing or disrupting bullying (Thomas et al., 2016).

Defined as “The more potential helpers there are, the less likely any individual is to help” (Thomas et al., 2016).
By the presence of many individuals, the likelihood of assisting decreases (Plötner et al., 2015).
Factors hypothesized to explain bystander effects:
- Social referencing.
- Diffusion of responsibility.
- Shyness (Plötner et al., 2015).
Notable model by Darley and Latané (1970) details five intervention steps:
1. Noticing the event.
2. Recognizing it as an emergency.
3. Taking responsibility.
4. Knowing how to help.
5. Providing help.
Bystander intervention programs exist, particularly for adult populations (e.g., Dvoskin et al., 2023).

Research indicates children develop a bystander effect after age 9 (Staub, 1970), with some studies showing it as early as 5 years old (Plötner et al., 2015).
Children demonstrated hesitance due to shyness or lack of knowledge on helping.
Definition of bullying by CDC:
- “One or more students tease, threaten, spread rumors about, hit, shove, or hurt another student over and over again.” (CDC, 2024).
Youth Risk Behavior Survey (YRBS) indicated LGBTQ+ children face higher rates of threats and bullying.
Research on gender and age shows:
- Females and younger students (elementary-aged) engage more in effective bystander strategies (Lamb et al., 2024).
- High school students often engage in less active bystander behavior (Waasdorp et al., 2022).

Types described by Mauduy et al. (2021):
- Pro-defense:
- Anti-defense.
- Pro-bullying.
- Conflicting beliefs.
- Inconsistent witnesses.
Kubiszewski et al. (2018) categorized factors into:
- Alert.
- Care.
- Opposition.
Increased mental health risks associated with witnessing cyberbullying (Doumas and Midgett, 2023).

Utilized a non-profit survey platform to access data.
Institutional Review Board approval was obtained.
Participants included students from 14 schools (6 high schools, 9 middle schools) in the western United States.
Total of 3,717 students participated; most identified as Hispanic or Latino (48.5%).
Gender breakdown: 53.8% female, 46.1% male, 0.1% non-binary.
Grade levels: 56.8% in grades 6-8; 43.2% in grades 9-12.

Student Perceptions of Bullying Survey (SPBS): 27-item adaptive survey measuring the social dynamics of bullying.
- Questions targeted experiences with bullying (direct and witnessing), frequency, types, and responses.
- Developed through extensive literature review and evaluated by experts for validity.

Descriptive methods were used to identify patterns in responses.
Logistic regression analysis performed using SPSS for predictive modeling of bystander behavior and outcomes.
Assumptions such as linearity and multicollinearity were checked.

63.6% reported not being bullied.
Nearly 19.3% (716 students) identified as bystanders who witnessed others being bullied.
Significant friendship connections observed:
- 45% identified the target as a friend; 29.2% as classmates.
Most common bullying type reported:
- Verbal (77.7%), Physical (32%), Social (15.9%).
Bystander responses:
- Ignored (19.1%), told the aggressor to stop (26.3%), fought back (5.4%).
- 60% indicated the bullying stopped or decreased after their intervention.

Analysis revealed key predictors:
- Witnesses who saw bullying incidents were significantly likely to report them.
- Relationship to the victim affects response types: 3.57 times more likely if friends.
- Racial alignment impacted reporting efficacy; significant differences noted in outcomes based on race.
Gender impact findings included:
- Female bystanders more likely to report to the school; male students more likely to engage in confrontational strategies.

Importance of bystander intervention emphasized, showing high impact on bullying outcomes.
Friendship identified as pivotal for engagement.
Racial and gender dynamics revealed biases in intervention likelihood; suggestions for culturally sensitive training.
Strengthening relationships and promoting empathy in schools can mitigate bullying consequences.