1
Chapter 1: Introduction to the Study
Introduction
Teen dating violence and bullying are major public health issues (Center for
Disease Control and Prevention, 2014a; Espelage, Basile, & Hamburger, 2012). The
burden of teen dating violence and bullying is not only carried by the individual but the
larger society. In a 2011 survey, 9.45% of students reported being victims of teen dating
violence during the previous 12 months and 16.2% reported having been bullied
electronically during the previous 12 months (Center for Disease Control and Protection,
2014a). Additionally, 20.1% of students reported being bullied while on school property
during the previous 12 months (Center for Disease Control and Prevention, 2014a). Both
teen dating violence and bullying are associated with negative outcomes which include
psychological, physical, and behavioral distrubances (Center for Disease Control and
Prevention, 2014a; Kowalski & Limber, 2013). Although teen dating violence and
bullying among teens occurs within simialr social sphere (Foshee V. A., et al., 2014),
there is limited research on the co-occurrence of both forms of violence. Futhermore,
African American teens have been reported as having higher prevalence rates of dating
violence; whereby, they were more likely to report victimization than their White and
Hispanic counterparts (Centers for Disease Control and Prevention, 2010). Despite these
findings, there is limited research which examines aspects of teen dating violence and co-
occurrence with other forms of violence such as bullying among African American teens.
Research which examines the co-occurrence of teen dating violence and bullying among
African American teens may help inform violence prevention programs which target this
population . Changing the conditions that contribute to teen dating violence would be a
2
positive social change. It is possible that the results of this study might inform
community organizations on the relationship among various forms of violence which
could help in targeting teen programs in their communities to include the impact of
neighborhood violence on teens as it relates to dating violence and bullying. On a family
level, social change may occur based on results of this study as it relates to the role of
spending time with a parent on occurrence of dating violence and bullying. Furthermore,
on the individual level, social change may occur as it relates to informing teens thorough
teen dating programs about bullying as a potential risk factor for potential dating violence
victimization.
This chapter will include the background of the study that will summarize the
research literature and gaps in knowledge as it relates to teen dating violence and
bullying. Furthermore, the problem statement based on primary research occurring within
the past 5 years is presented. Additionally, I will discuss the purpose of the study based
on the study intent and research questions and hypotheses. Next, I will discuss the
theoretical and conceptual framework of the study before addressing the nature of the
study that includes a description of the variables, methodology, and definitions of terms.
Furthermore, clarification of assumptions, which are critical to the meaningfulness of the
study, are discussed as well as the scope and any limitations as it relates to internal and
external validity, bias and boundaries of the study. I will end by discussing the
significance of the study based on social change and how knowledge gained could benefit
the field of public health as it relates to teen dating violence and bullying among African
Americans. To end the chapter, a summary of the main points with a transition to Chapter
2 is presented.
3
Background
Responding to the 2011 Youth Risk Behavior Survey, 9.4 %of high school
students reported experiencing dating violence as defined as being hit, slapped, or
physically hurt by someone they defined as their boyfriend or girlfriend during the
previous 12 months (Center for Disease Control and Prevention, 2013). Researchers have
reported that teens who are victims of dating violence are more likely to do poorly in
school, abuse substances, and attempt suicide (Exner-Cortens, Eckenrode, & Rothman,
2013; Maas, Fleming, Herrenkohl, & Catalano, 2010). Several researchers reported that
gender plays a role in teen dating violence where females are more likely to be victims
and suffer longer lasting injury as a result of victimization (Alleyne, Coleman-Cowger,
Crown, Gibbons, & Vines, 2011;Coker et al., 2014; Exner-Cortens, Eckenrode, &
Rothman, 2013; Maas, et al., 2010)
There is limited focus in the literature as it relates to ethnicity/race and teen dating
violence. Responding to the 2009 Youth Risk Behavior Survey (YRBS), African
American teens reported the highest rate of teen dating violence victimization during the
previous 12 months (Center for Disease Control and Prevention, 2010). Despite the
YRBS results, researchers are conflicted as to the impact of race/ethnicity on teen dating
violence. (Temple & Freeman, 2011; Tyler, Brownridge, & Melander, 2011). The
conflict within the literature appears to exist due to limited studies that have focused on
examining the relationship between race/ethnicity and teen dating violence. Studies
consist of majority white populations and researchers who conduct analysis of their
limited nonwhite samples as part of their overall results, find it difficult to draw definitive
relationships between race/ethinicity and teen dating violence. Furthermore, few studies
4
target African American teens where majority of the studies targeted majority white
populations.
Risk factors for teen dating violence as reported in the literature include low self
esteem, low income, low academic achievement, aggressive or delinquent behavior,
history of mental illness, history of alchol abuse, drug abuse, impulsive or aggressive
tendencies, laws that maintain unequal access to goods, services and opportunities, or
societial norms that support violence and male dominance (Center for Disease Control
and Prevention, 2012a). Protective factors include nurturing parenting skills, stable
family relationships, connectedness between teens and their neighborhoods, after school
and recreational programs, and communities that take responsibility as it relates to
violence prevention (Center for Disease Control and Prevention, 2012a).
For the purposes of this study, bullying is defined as any repetitive unwanted
aggressive behavior by another teen or group of teens who are not related or currently
dating partners that involves observed or perceived imbalance of power (Center for
Disease Control and Prevention, 2015). Furthermore, aggression related to bullying will
include, physical, verbal, social/relational, and/or electronic (Center for Disease Control
and Prevention, 2015).The literature on bullying among teens has focused on various
forms of bulllying such as face-to-face bullying, Cyberbullying, sexual bullying and
school bullying. The majority of recent research in the area of bullying has centered
around Cyberbullying due to the increased use of technolgy among youth (Slonje, Smith,
& Frisen, 2013). Additionally, several researchers have examined co-occurrence of
various forms of bullying (Kowalski & Limber, 2013; Wang, Iannotti, & Nansel, 2009).
Co-occurrence of bullying and teen dating violence was limited in the literature ( Miller,
5
et al., 2013; Yahner, Dank, Zweig, & and Lachman, 2014; Zweig, Dank, Yahner, &
Lachman, 2013). When bullying and teen dating violence were studied, the focus was on
examining if perpretation of bullying predicted teen dating violence as teens moved from
early to late adolescence ( Ellis & Wolfe, 2014; Foshee, et al., 2014).
Studies which focused primarily on African Americans as it related to bullying
was limited. Despite finding few studies which targeted African Americans as it related
to bullying, the authors who discussed race/ethnicity described an association between
bullying and race/ethnicity as being prevalent (Bauman, Toomey, & Walker, 2013;
Bradshaw, Waasdorp, Goldweber, & Johnson, 2013; Goldweber, Waasdrop, &
Bradshaw, 2013; Kowalski & Limber, 2013; Williams & Peguero, 2013). When results
were given along race/ethnicty lines, AfricanAmerican teens were at greater risk of bully
victimization (Goldweber et al., 2013;Williams & Peguero, 2013) as well as perpretration
of bullying (Wang et al.,, 2009).
Despite extensive research in teen dating violence and bullying, there is minimal
research as it relates to co-occurrence of teen dating violence and other forms of violence
and substantially less relating to co-occurrence of teen dating violence and bullying.
Although some researchers have shown an association between bullying in early
adolescence and experiencing or perpetrating dating violence in later adolscence, further
research is needed as it relates to teen dating violence, bullying and race/ethnicity (Ellis
& Wolfe, 2014; Foshee, et al., 2014; Miller, et al., 2013). Research which explores the
relationship among teen dating violence victimzation, bully victimization and
race/ethniciy may help to inform current and future violence prevention programs which
target African American youth. This study will help to add to the field of teen dating
6
violence especially as it relates to the African American teen population which reported a
higher rate of teen dating violence victimization (Center for Disease Control and
Prevention, 2010).
Problem Statement
Teen dating violence and bullying are major public health issues. During a
nationwide survey, 23% of females and 14% of males, who reported experiencing
intimate partner violence, stated that their first occurrence was between the age of 11 and
17 (Center for Disease Control and Prevention, 2014a) . Both teen dating violence
victimization and bully victimization contribute to negative psychological and physical
outcomes (Foshee, et al., 2014). Negative impact of teen dating violence and bullying
contribute to unacceptable societal and economical consequences (Center for Disease
Control and Prevention, 2012a). African American teens reported higher rates of teen
dating violence victimization (Centers for Disease Control and Prevention, 2010), and
researcher have reported in several studies that race/ethnicity may be associated with
bullying (Bradshaw et al., 2013;Goldweber et al., 2013; Wang et al., 2009). Currently,
prevention programs which focus on teen dating violence and bullying occur in isolation
of each other (Niolon, et al., 2015). Research suggest that there may be an association
among teen dating violence and various forms of violence (Foshee, et al., 2014; Niolon,
et al., 2015). There is a gap in the field of teen dating violence as it relates to co-
occurrence with bullying which widens as it relates to African American teens
(Goldweber et al., 2013).
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Purpose of the study
The purpose of this quantitative study using archival data from the 2013 YRBSS
for Palm Beach County Florida was to examine the relationship between race/ethnicity,
gender, age, substance use, and age of first sexual intercourse and bully and teen dating
violence victimization. I also examined the effect of protective factor spending time with
a parent as a potential mediating variable.
Research Questions and Hypotheses
Research Question 1: What is the relationship between race, gender, substance
abuse, age, and age of first sexual intercourse and the likelihood of being a victim of (a)
bullying, (b) teen dating violence, and (c) bullying and teen dating violence?
H
0
1a: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying.
H
a
1a: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying.
H
0
1b: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of teen dating violence.
H
a
1b: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of teen dating violence.
H
0
1c: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying and teen
dating violence.
8
H
a
1c: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying and teen dating
violence.
Research Question 2: Does spending time with a parent mediate any relationships
between experiencing bully victimization and experiencing teen dating violence when
controlling for race, gender, substance abuse, age, and age of first sexual intercourse.
H
0
2: Spending time with a parent does not mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for race, gender, substance abuse, age, and age of first sexual intercourse.
H
a
2: Spending time with a parent does mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for the influence of race, gender, substance abuse, age, and age of first sexual intercourse.
Theoretical and/or Conceptual Framework for the Study
Research that focuses on social and cultural factors as it relates to human behavior
frequently reference social learning theory (McCullough Chavis, 2012). Social learning
theory is based on the premise that environment, personal factors and behaviors are
constantly interacting and influencing each other (Bandura, 2001). Furthermore, the
theory proposes that human behavior is a result of observational learning and vicarious
reinforcement which is a foundation of social learning theory (Bandura, 2001) . How
behaviors, once acquired, are expressed and regulated by individual and external forces is
another key component of social learning theory (Bandura, 1973). Teen dating violence
and bullying occurs most often within the social circle in which teens abide. Therefore,
9
based on social learning theory, examining the relationship among various forms of
violence which occurs among teens within the school setting such as bullying, offers an
opportunity to change violent behavior which occurs within the teen social circle.
A lengthy description as it relates to social learning theory and how it relates to
the focus of this study was presented in Chapter 2.
Nature of the study
Identifying associations among various forms of violence such as teen dating
violence and bullying is essential in meeting the needs of teens within violence
prevention programs and those that might be struggling with these issues on their own.
Currently, teen dating violence and bully prevention programs operate in isolation of
each other (Espelage et al., 2012) and may not be meeting the needs of the teen
population. In this study, I used a quantitative cross sectional survey design to examine
the relationship between dependent variable teen dating violence victimization and the
independent variable bully victimization while controlling for age, gender, race/ethnicity,
substance abuse, and age of first sexual intercourse. I also tested spending time with
parents for its effect.
Archival data collected in 2013 for the Palm Beach County Youth Risk Behavior
Survey (YRBS) was used to examine the variables. The YRBS, used in Palm Beach, was
developed by the Center for Disease Control and Prevention for describing the prevalence
of health-risk behaviors among youth (Center for Disease Control and Prevention,
2014b). It also assesses trends in health-risk over time with a goal of providing public
health professionals with the tools needed to evaluate and improve policies and programs
that target youth (Center for Disease Control and Prevention, 2014c). The Palm Beach
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County YRBS collected data in the spring of 2013 from 2,376 high school students using
in-school questionnaires ( Center for Disease Control and Prevention, 2014b). The
dataset for the Palm Beach County YRBS is available through the Center for Disease
Control and Prevention. Once I have received approval from Walden University IRB, I
requested the dataset from Palm Beach County Department of Health as this is required
in order for Center for Disease Control and Prevention to release the data. To answer the
research questions, I used archival data from 1,836 respondents. The YRBS is
appropriate for my study as it was one of few self-reported data sets that targets high
school students and includes questions specific to teen dating violence victimization,
bully victimization, and variables which act as risk and protective factors (e.g., substance
abuse, age of first sexual intercourse, and spending time with parent).
IBM Statistical Package for Social Sciences (SPSS) Amos version 21 was used to
analyze the data collected for the 2013 Palm Beach YRBS. I conducted measures related
to central tendency and dispersion using descriptive statistics. Logistic regression was
used to analyze the impact of bully victimization, gender, and race/ethnicity on teen
dating violence victimization. Mediating variables spending time with a parent was added
with logistic regression anlysis to examine the effects. Regression analysis was used to
determine the direction and/or strength of being African American, female, and age of
first sexual experience on teen dating violence victimization and bully vitimization .
Futher description of the methods for this study is included in Chapter 3.
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Definitions
The following are concise definition of the independent variable, dependent
variables and covariates as it relates to understanding their meaning in this study. A more
detailed analysis of coding and descriptions of the variables were included in Chapter 3.
Bully victimization: When one or more students who are not dating partners tease,
threaten, spread rumors about, hit, shove, or hurt another student over and over again
(Center for Disease Control and Protection, 2014c). It includes electronic bullying (being
bullied through e-mail, chat rooms, instant messaging, websites, or texting.) (Center for
Disease Control and Protection, 2014c).
Spending time with a parent: Eating dinner with a parent.
Substance use: Includes use of alcohol and drugs (marijuana, cocaine, sniffed glue,
breathed contents of aerosol spray cans or inhaled paints or sprays for the purposes of
getting high, heroin, methamphetamines, ecstasy, steroid pills or shots, prescription drug
use without a doctor’s prescription, synthetic marijuana and injection of illegal drugs)
(Center for Disease Control and Protection, 2014c). Alcohol was defined as beer, wine,
wine coolers, and liquor which included rum, gin, vodka, or whiskey but excluded just
taking a few sips of wine intended for religious purposes (Center for Disease Control and
Protection, 2014c).
Teen dating violence victimization: Being physically hurt on purpose by someone they
were dating or being forced to do sexual things by someone they were dating (Center for
Disease Control and Protection, 2014a).
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Assumptions
Due to extensive research which stated that bullying begins in early
adolescents/middle school (Ellis & Wolfe,2014; Espelage et al., 2012;Foshee, et al.,
2014; Olweus, 1994), I assumed that as teens move into later adolescents whereby the
nature of their social relationships changed to mixed gender and romantic, bullying
would have an impact on dating. As I was not present for the administration of the survey
and did not have access to the participants or their parents, I made the assumption that
appropriate consent procedures were followed. Additionally, I assumed that the
participants took the survey voluntarily and confidentiality protocols were followed.
Lastly, I assumed that school personnel and proctors who administered the Palm Beach
YRBS did so without inserting bias and were appropriately trained as to not influence the
responses of the participants.
Scope and Delimitations
Internal Validity
In the current study, I considered bullying as it contributes to teen dating violence
and more specifically victimization. I examined the relationship among risk factors of
age, gender, race/ethnicity, substance use, and age of first sexual intercourse with teen
dating violence victimization and bully victimization. Furthermore, I examined the
effects of a protective factor; spending time with a parent as it relates to victimization.
Specific aspects of the research problem that was addressed are whether there is an
association among teen dating violence, bully victimization, and ethnicity/race. I chose
the specific focus in order to fill current gaps in research as it relates to co-occurrence of
teen dating violence, bullying, and race/ethnicity. Outcomes of this study may help to
13
inform violence prevention programs that target teens and more specifically, African
American teens who reported the highest rate of teen dating violence victimization
(Centers for Disease Control and Prevention, 2010).
External Validity
Archival data, which was collected in 2013 for the Palm Beach County YRBS, is
available for this study and the resulting dataset was used for this study. Participants for
the YRBS were public high school students in grades 9 to 12 in the spring of 2013
(Center for Disease Control and Prevention, 2014b). All 23 high schools in the county of
Palm Beach were eligible to participate and participated in the survey ( Center for
Disease Control and Prevention, 2014b). Students who attended on the day of the survey
were eligible to participate. Home schooled and private high school students were not
included in the YRBS. The YRBS is not appropriate for non-English speaking students as
the questionnaire is only available in English.
The following studies have been used in prior studies related to dating violence:
• Attachment theory: Lack of parental warmth contributes to aggressive
behaviors in youth Powell & Ladd, 2010).
• Male peer support theory: Patriarchal beliefs are at the core of intimate
partner violence (Sellers, Cochran, & Branch, 2005).
• Intergenerational transmission theory: Witnessing or experiencing
violence in childhood leads to violent behavior and victimization in later
life including in intimate partner relationships ( Eriksson & Mazerolle,
2015;Sellers, Cochran, & Branch, 2005).
14
Social learning theory presents as an all-inclusive theory that incorporates the influence
of individual, relationship, community, and societal factors related to violent behavior
that is amenable to the cultural/ethnic/racial aspects of the selected population for this
study.
Generalizability
The Palm Beach County YRBS is based on generating responses from a
representative sample of all public high school students in Palm Beach County. As such,
results from this study cannot be generalized to all high school teens, as the current
sample did not include home schooled and private high school students. However, the
results of this study, which is limited to Palm Beach County, may be used to inform
future studies that use the National YRBSS data examining co-occurrence of various
forms of violence and implications along racial/ethnic lines.
Limitations
There were limitations with this study as it relates to the reliance on self-report
survey design. Issues related to recall bias on questions, which required respondents to
recall incident that occurred in the past, may have occurred whereby there may be an
underreporting or over reporting. However, reliance on self-reporting survey design has
been used for studies of this nature on multiple occasions and has been an effective
method of measurement (Creswell, 2009;Frankfort-Nachmias & Nachmias, 2008).
The Palm Beach County YRBS is a school-based design survey and may not
represent teens that are not enrolled in school or any form of educational system.
Participants who attend private schools, home schools, and those in the juvenile justice
15
system were not included in the YRBS. I reported results as it relates to this sample
without generalization to the larger population in order to address this potential bias.
The potential for selection threats as all the respondents were from the same
county which may predispose them to emit similar responses is possible. The sampling
frame, which included all public high schools with a systematic equal probability
sampling with a random start time to select the classes for participation in the survey, was
used by the Center for Disease Control and Prevention and may decrease the impact of
selection threats (Center for Disease Control and Protection, 2014c).
The construct of spending time with a parent was measured based on having
dinner with a parent during the previous 7 days. Responses to this question may not
adequately describe the nature of the parent-child dyad. In reporting of the results,
number of times spent eating dinner with a parent may be more relevant in determining
an association, thereby limiting construct issues . Additionally, the construct age of first
intercourse does not provide information as to context in which sexual intercourse
occurred but results from this study may help frame future studies which will explore this
contruct in more detail.
In constucting the substance use variable, an aggregate of 13 variables related to
substance use was conducted. All except for one variable were specific as it related to
frequency of the respondent’s substance use. The inclusion of age of first alcohol use as a
variable as part of the aggregate for substance use may have posed construct issues as it
was not specific to frequency. However, prior studies have shown a positive trajectory of
early substance use to frequency of use (Adams, Milich, Lynam, & Charnigo, 2013;
Pilatti, Godoy, Brussino, & Pautassi, 2013).
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Significance
Currently most research and prevention programs targeting teen dating violence
and bullying occurs in silos (Grych & Swan, 2012). There is research on various forms of
violence which impact youths but few studies that explored the interconnectedness of
these forms of violence (Grych & Swan, 2012;Hamby, Finkelhor, & Turner, 2012).
Subsequently, evidence based practice prevention programs that are based on the results
of research may not be the most effective in addressing the problem of violence amongst
teen, especially as it relates to bullying and teen dating violence.
Bullying and dating violence amongst teens occur within the same social sphere
(Ellis & Wolfe, 2014). Prior researchers suggested that bullying begins in early
adolescence; whereas, dating violence occurs most often in later adolescence as the social
context of relationships emerge into mixed gendered and romantic type relations. Dating
violence and bullying have been shown to occur in the same individuals (Miller, et al.,
2013) . Despite these results, there exist a gap in the literature as it relates to co-
occurrence of bullying and teen dating violence. Furthermore, there is limited research
which examines race/ethnicity, specifically African Americans despite having the highest
rate of reported dating violence vicimization.
Results of this current study may decrease the gap which currently exist related to
co-occurrence of various forms of violence amongst teens, specifically dating violence
victimization and bully victimization. Furthermore, results from this study may help to
target limited resources which are designed to develop evidence based prevention
programs . For decades most prevention programs have focused their efforts on single
issue forms of violence (Grych & Swan, 2012). Although the field of co-occurrence of
17
various forms of violence is beginning to emerge, research on teen dating violence
victimization, bully victimization along racial/ethnic lines is still lacking.
Potential contributions as it relates to positive social change as a result of this
study could be a shift in how public health practitioners target resources to address the
problems of teen dating violence and bullying. Although the results from this study may
not be generalized to populations outside of the sample, researchers in the field of
prevention of teen dating violence, youth violence, bullying, and intimate partner
violence could build on this study to better impact how public health workers advocate
for funding and frame public policy. Furthermore, prevention of teen dating violence may
lead to decreases in rates of intimate partner violence as there has been an established
link between victimization and
perpetration of dating violence in youth and adult
intimate partner violence (Grych & Swan, 2012). This research has the potential to
transform how researchers approach studies involving not only teen dating violence but
also adult initimate partner violence. Researchers may consider studying co-occurrence
of bullying and adult intimate partner violence. Socal change may occur as programs
which aim to address teen dating violence might include in their programming an
understanding regarding how bully victimization relates to teen dating violence
victimization which would educate teens to montior for identified risk factors and/or how
to change behaviors. Additionally, social change may occur on the community level as
community organizations examine how they promote violence prevention within their
community. Communities have the power to influence teens by working to reduce
various forms of violence through sanctioned appropriate behavior within communities
(Bandura , 1973).
18
Summary
Teen dating violence and bullying are major public health concerns. In a 2011
survey, 9.45% of students reported being victims of teen dating violence during the
previous 12 months and 16.2% reported having been bullied electronically during the
previous 12 months (Center for Disease Control and Prevention, 2014c). Teens who are
victims of dating violence and bullying experience negative psychological and physical
outcomes which impact them long into adulthood (Feldman Hertz, Donato, & Wright,
2013). Additionally, there are financial cost associated with medical care, criminal justice
costs, and social services (Center for Disease Control and Prevention, 2012b). The
purpose of this study was to examine the relationships between the dependent variable
teen dating violence victimization and the independent variable bully victimization. Most
research and prevention programs in the field of teen dating violence and bullying
operate in silos (Grych & Swan, 2012). Although the field has begun to move towards
examining co-occurrence of various forms of violence, a gap exist as it relates to co-
occurrence of teen dating violence and bullying especially as it relates to race/ethnicity.
By examining the co-occurrence of bully victimization and teen dating violence, this
study may help to inform public health as it moves towards primary prevention of dating
violence, bullying, youth violence and intimate partner violence. Social change may
occur as programs change the lives of teens by preventing victimization.
This chapter provided the background of the study, problem statement, purpose of
the study, research questions and hypotheses, theoretical framework, nature of the study,
definitions, assumptions, scope and delimitations, limitations, and significance. The next
19
chapter provides a concise synopsis of current literature based on research between 2009
and 2015, gaps in the field, and how the results inform my current study.
20
Chapter 2: Literature Review
Introduction
Teen dating violence and bullying are major public health concerns due to the
impact on the psychological and physical health of teens (Center for Disease Control and
Prevention, 2014a). Despite acknowledgement by a major public health organization such
as Center for Disease Control and Prevention that bullying ( victimization and
perpetration) and teen dating violence create an undue burden for teens, limited research
exist as to the co-occurrence of both forms of violence which occurs within the same
social sphere (Hamby et al.,2012;Yahner et al., 2014). Furthermore, understanding the
impact of racial/ethnic differences as it relates to teen dating violence and bullying has
been recommended in various studies as an area that still requires further exploration
(Patton, Hong, Williams, & Allen-Meares, 2013; Seaton, Neblett Jr., Cole, & Prinstein,
2013). Teen dating violence is defined as the occurrence of physical, sexual emotional
and/or psychological violence that occurs within teen dating relationships (Center for
Disease Control, 2014a). Olweus (1994) who was one of the earlier researchers of the
1970s who defined the term bullying, defined it as persistent and repetitive acts of
aggression over a period of time whereby, there is a power imbalance. Both dating
violence and bullying occur within similar social context (Ellis & Wolfe, 2014; Foshee,
et al., 2014). Furthermore, prevalence of teen dating violence was found to be highest for
African-American teens (Center for Disease Control and Prevention, 2010). Gender has
been associated with teen dating violence whereby females have been reported as being
impacted more than males because of violence within their relationships (Exner-Cortens
et., 2013). Additionally, as it relates to gender and bullying, boys have been found to be
21
bullies; whereas, girls were more likely to be victims of bullying (Wang et al.,2009) .
Substance abuse has been associated with dating violence victimization (Exner-Cortens et
al., 2013) and bullying whereby substance use has been linked to aggressive behavior and
to both perpetration and victimization (Radliff, Wheaton, Robinson, & Morris, 2012).
Early substance use may impair social and dating relationship, leading to early stressors
and victimization (Maas et al., 2010). Bullying often begins in early adolescence and has
been found to predict physical dating violence later in life (Ellis & Wolfe, 2014; Foshee,
et al., 2014;). Futhermore, bullying predicted teen dating violence victimization and
perpetrtation (Ellis & Wolfe, 2014). Childhood sexual abuse has been associated with
victimization and perpretation of intimate partner violence and bullying (Davis, et al.,
2012).Positive relationship ( defined as limited levels of hostitility and autonomy-
promoting negotiations) with parents has been found to be a protective factor for bullying
(victimization and perpetration) (Wang et al., 2009), and a predictor for healthy teen
dating relationships (Miga, Gdula, & Allen, 2012). Depression has been associated with
bully victimization (Feldman Hertz et al., 2013) and dating violence victimatization
(Center for Disease Control and Prevention, 2014). Researchers have found that teens
help seeking behavior as it related to interpersonal problems centered around friends and
family (Black, Weisz, Preble, & Sharma, 2015) . Teens who self-reported victimization
of dating violence were more likely to be victims of other types of violence versus those
with no history of dating violence (Hamby et al., 2012). African Americans have a
history of discrimination (Patton et al., 2013) and disparities against them; therefore,
examination of the literature as it relates to efforts to understand how teen dating violence
22
occurs among this group and any association that may help promote and or enhance
dating violence programs was explored through this literature review.
Synopsis of current literature
Teen dating violence and bullying are preventable. Behaviors that cause harm to
others and self and can be prevented (Center for Disease Control and Prevention, 2012a).
Bullying and violence that occurs within teen dating relationships affects not only the
physical health but the less visible inside which relates to emotional health (Feldman
Hertz et al., 2013) . The effects of teen dating violence and bullying may not always
leave outward scars but the damage done can cause internal and emotional damage
leaving unseen scars which last a lifetime (Feldman Hertz et al., 2013).
There are financial cost associated with medical care, criminal justice cost, and
social services (Center for Disease Control and Prevention, 2012a). The impact of teen
dating violence and bullying can reduce the potential of a future generation of leaders.
Teens that experienced dating violence may choose unhealthy relationships into their
adult life (Center for Disease Control and Prevention, 2014a). Research has shown that
teens who are involved in teen dating violence are more likely to be involved in adult
intimate partner violence (Exner-Cortens et al., 2013). The financial cost of adult intimate
partner violence was $8.3 billion in 2003 and there were 1,336 deaths in 2010 related to
adult intimate partner violence (Center for Disease Control and Prevention, 2012a) which
translates into an unsustainable cost and significant loss of lives if teen dating violence is
not prevented. Furthermore, teen dating violence and bullying which impacts the African
American population serves to further promote disparities that exist within communities
of color. African Americans who live in low-income neighborhood may be at greater risk
23
of teen dating violence and bullying as higher levels of unemployment may contribute to
higher rates of neighborhood violence (Patton et al., 2013). As such, research which
offers knowledge into the co-occurrence of various forms of violence such as this study,
may help to promote positive changes in violence prevention programs which target
teens.
Preview of major sections
As part of my research related to gaps in the field of teen dating violence, I
conducted a literature review that was the focus of this chapter. The literature review
included exploring research in the area of co-occurrence of teen dating violence with
other forms of violence along ethnic/racial and gender context. In this chapter, I discuss
research strategies, social learning theory as the theoretical foundation, and review
literature that features a description of the variables teen dating violence victimization,
bully victimization, gender, and race/ethnicity. Additionally, risk and protective factors
are also discussed.
Literature search strategy
Using the search dates of 2009-2015, a search for peer reviewed and full text
articles was conducted in PROQUEST, ACADEMIC SEARCH, Thoreau, SAGE, and
SocINDEX using the search terms teen dating violence, bullying, and African American
teen dating. Individual searches for the term bullying, resulted in the most results (1,786),
and followed by teen dating violence (524) and African American teen dating violence
(17). Search terms combining teen dating violence and bullying returned five results;
whereas a search of combined terms African American and bullying returned 87 results.
When search terms included African American, teen dating violence, and bullying, there
24
were zero results. Much of the literature related to bullying returned articles covering
workplace bullying while a narrowing of the search to include teens returned 159 results.
A review of all the searches resulted in the selection of 37 articles as having relevance to
my research including nine focused on co-occurrence of teen dating violence with other
forms of violence. There were no dissertations that examined the co-occurrence of teen
dating violence with other forms of violence.
Theoretical Foundation
Social learning theory
How teens relate to each other and those around them, contributes to teen dating
violence and bullying. Social learning theory premises that environment, personal factors,
and behaviors are continually influencing each other (Bandura, 2001). Environment
relates to aspects within the social and physical environment that can influence behavior
(Bandura, 2001). Social environment relates to family and friends; physical environment
relates to the larger community such as schools and neighborhoods (Bandura, 2001).
Personal factors relates to cognitive, affective, and biological components of the
individual (Bandura, 2001). Bandura (2001) argued that behavior is a result of
observational learning and vicarious reinforcement. How teens operationalized their
thoughts around violence in their dating relationships and bullying and how these
thoughts influence their behavior is a result of their social experience. It is for this reason
that social learning theory is the most applicable theory to examine the co-occurrence of
bullying and teen dating violence as both are influenced by similar factors
(environmental, social, and personal).
25
Social learning theory referenced aggressive behavior as producing both personal
(psychological and physical) and destruction of property as well as social labeling
(Bandura,1973). Aggression unlike other social behaviors does not require mutual
acceptance in order for the effects of such aggression to be responsive (Bandura, 1973).
Aggressive behavior such as teen dating violence and bullying that is perceived as
punishing for the victim can be rewarding for the perpetrator. Bandura’s (1973) assertion
that aggressive actions produces outcomes other than producing injury, aligns with
established far reaching impact of teen dating violence and bullying. Both teen dating
relationships and nondating relationships occur in a social context in which aggressive
actions can occur. Such aggressive actions can stem from the value placed on aggression
as a form of instilling or maintaining power within the peer group (Bandura, 1973). It is
the social labeling which determines the within peer group acceptance or rejection of
aggressive behavior (Bandura, 1973). It is therefore conceivable that such acceptance or
rejection within the peer group would create a fertile ground for both teen dating violence
and bullying to occur within the same individuals.
Social learning theory focuses on how behavior, once acquired, is expressed and
regulated by the individual and external forces (Bandura, 1973). Behaviors that are found
to be successful or reinforced by peers such as within teen dating and nondating social
circles are the behaviors perpetrated, while behaviors rejected by peers are discarded.
This process is what Bandura (1973) referred to as differential reinforcement. The
rewarding and punishment of an action, determines whether the action is continued
(Bandura, 1973). Teen dating violence and bullying, if observed and perceived as
rewarded actions, continue violent actions are fostered. The theory lends itself to the
26
possibility that victims of bullying may also be victims of teen dating violence as outside
actors who observe the occurrence of one form of victimization (teen dating violence)
may perpetrate other forms of violence (bullying) towards the same individual.
External sources of influence are not the only predictors of behavior (Bandura,
1973). The cognitive process one engages in as it relates to the behavior, serves to
reinforce or reject the behavior (Bandura, 1973). The ability to recognize the
reinforcement or rejection of one’s behavior requires insight that is a cognitive process
(Bandura, 1973) .Understanding acceptable behaviors and consequences of teen dating
violence and bullying requires an awareness that involves cognitive processes which
regulates the decision on whether to act. Social learning theory would explain why
victims of one form of violence such as bullying might process such actions in a way that
makes them more susceptible to being a victim of teen dating violence.
Social learning theory and changing behavior
Theoretical concepts of social learning which apply to how teen bullying and
dating violence occurs can be used to modify the behavior. Social learning theory can be
applied to how teen bullying and dating violence occurs through observational learning
and cognitive processes. Bullying and teen dating violence occurs under situational,
cognitive, and reinforcement conditions similarly in the same way new behaviors can be
learned through the alteration of situations, cognitive, and reinforcement conditions
within the peer group (Bandura, 1973). Bandura (1973) asserted that group problems
required a group solution whereby the social dynamics and reinforcement practices are
altered.
27
Social learning theory proposes that through suitable role models and valued
incentives, new behaviors that create better benefits than previously defiant behaviors can
be normalized and sustained (Bandura, 1973). Influence of role models occurs when such
role models are closely associated to those being influenced (Bandura, 1973).
Relationship with parents is one such influence on the lives of teens and the nature of the
parent-child relationship whether positive or negative, may influence acceptance or
rejection of violence. Influences that contribute to teen bullying and dating violence must
first be altered in order to create change in the behavior.
Modeling influence, which relates to observational learning, can be used to both
promote aggression as well as modify aggressive behavior (Bandura, 1973). Influence
plays a crucial role in the learning of more effective ways of managing situations that
lead to bullying and dating violence. Social learning theory proposes that defiant
behavior is maintained and valued because of a lack of better alternatives (Bandura,
1973). Influencers can model alternatives such as better ways of handling interpersonal
conflicts to change teen bullying and dating violence behavior.
In order for modeling of influence to be most effective, alternative behavior has to
repetitively model by multiple people within the circle of influence (Bandura, 1973).
Opportunities to practice the modeled behavior with positive rewards and arrangement of
successful experiences because of behaving differently, fulfills reinforced modeling
(Bandura, 1973). Demonstration, guided practice, and successful experiences produce
sustained change in behavior. Observation by itself does little to change behavior long
term; whereas, acquiring the resources to learn successful ways of behaving is the
foundation of changing behavior based on social learning theory (Bandura, 1973). Teens
28
that are socially and verbally unskilled with limited means of handling discord are more
likely to become engaged in bullying and dating violence, especially within a social
context that views such behavior favorably (Bandura, 1973). Therefore, creating
opportunities/influences whereby teens can learn, be rewarded, and successfully
implement new behaviors can foster long-term changes within the teen social sphere.
Social learning theory may help explain the positive influence of positive relationship
with parents on teen dating violence and bully victimization.
Social ecological model
The social ecological model, which is used by Center for Disease Control and
Prevention, allows public health to understand what causes risk and what protects teens
from various forms of violence (Center for Disease Control and Prevention, 2012a).
Individual, relationship, community, and societal are four levels within the social
ecological model (Center for Disease Control and Prevention, 2012a). The individual
level relates to biological and personal factors such as age, gender, drugs, trust, and
history of aggressive behavior or experiencing violence (Center for Disease Control and
Prevention, 2012a). Relationship factors relate to family and peers or more specifically,
interactions between two or more individuals (Center for Disease Control and Prevention,
2012a). The variable spending time with parents would fit into the relationship factors as
this is a time whereby teens would interact with parents. The community level relates to
school, work, and neighborhood (Center for Disease Control and Prevention, 2012a). The
final level is societal which relates to economic, cultural norms, media, policy and laws,
discrimination, health, education, and social policy that foster discrimination (Center for
Disease Control and Prevention, 2012a). Of all the levels of social ecological model, the
29
societal factors affect all the other factors. Societal factors which create a level of
acceptance, tolerance for violence, or creates and sustains gaps between segments of
society such as discrimination, impacts individual, relationship, and community factors.
Social learning theory and social ecological model combined
Social learning theory use of influence on creating and changing behaviors can be
combined with the social ecological model whereby the individual, relationships,
community, and societal factors function as influence on teens’ behaviors as it relates to
bullying and dating violence. The individual level is where personal aspects can create or
change bullying and dating violence behavior. Individual experience of violence can
become operationalized as an influence on bullying and dating violent behavior.
Relationship levels, which include family and peers, can influence whether or not teen
dating violence and bullying is accepted or rejected. Community factors, as it relates to
schools where teens spend most of their time, can act as an influence on promoting or
condemning violence. Societal factors such as policies and cultural norms that hinder or
promote violence acts as an influence on teen’s behavior.
The power of influence and cognitive processes on behavior is paramount to the
social learning theory as it relates to understanding how behavior is operationalized and
altered (Bandura, 1973). When applied to the social ecological model, teen dating
violence and bullying can be understood within the context of a multifaceted matrix
where teens learn to accept or reject violence as a resource of how they relate to each
other. It is this aspect of the theory that makes it conceivable that bullying and teen dating
violence would co-occur within the same individual. Changing the resources available to
teens through influencing the individual, relationship, community, and societal aspects of
30
the world in which teens resides, is a sustainable method to change the scope of teen
dating violence and bullying. Bandura (1973) stated that aggressive behavior is often
used due to a lack of resources that provide other appropriate ways of handling
interpersonal conflict. Additionally, the influence of those close to the subject through
modeling, practice, positive rewards, and successful implementation of new behavior is
paramount to maintaining the new behavior (Bandura, 1973).
Social learning theory literature and teen dating violence
A review of the literature as it related to social learning theory and teen dating
violence resulted in few studies which focused on attitudes and exposure as it related to
teen dating violence. Miga et al., (2012) conducted a study using social learning theory as
the explanation for their findings that autonomy promoting behavior displayed within the
inter-parental sphere influenced teens’ autonomous approach to conflicts within peer and
romantic relationships (p.443). Tyler, Brownridge, & Melander (2011) also applied social
learning theory framework to hypothesize that child maltreatment and low levels of
parental warmth would be directly associated with victimization and perpetration of teen
dating violence. Each of these studies built their framework around the observational
aspects of social learning theory.
Social learning theory has been stated as one of the most used theory in research
focused on social and cultural factors as it relates to human behavior (McCullough
Chavis, 2012) . This study which focuses on teen behavior within the social context of
the African American teen population makes application of social learning theory
appropriate. Observation learning as well as imitation and modeling as an explanation for
how humans acquire, retain, and reject behaviors makes social learning theory applicable
31
to research in the area of human behavior (McCullough Chavis, 2012). Regarding the
cultural aspects of behavior, culture plays a very important role in behavior and the social
environment (McCullough Chavis, 2012). The social environment and cultural aspects of
African American teens plays an important role in understanding behaviors, which is in
line with social learning theory and social ecological model which incorporates internal
and external sources of how behavior is acquired and maintained. In order to change
behavior, an understanding of how behaviors are acquired and rejected is warranted.
Although there are limited studies with specific application of social learning theory as it
relates to teen dating violence, the quest to understand human behavior in order to alter it,
allows researchers to use social learning theory as a framework in various aspects of
unhealthy behaviors in teens. There were several studies that applied social learning
theory to other aspects of changing behavior in teens. Social learning theory was applied
most often in studies related to teen’s dietary behaviors, physical activity, and substance
abuse (Bukhari, 2011; Connor, 2011; Dewar, 2012 Lee, 2012;McCabe, 2015; Nguyen,
2011;Roy, 2011;Shadur, 2014;Smith, 2011).
Social learning theory literature and bullying
Review of the literature on social learning theory and bullying resulted in several
studies. Prati, (2012) conducted a study of 863 students where social cognitive theory an
extension of social learning theory was used as a framework to analyze self-reported
homophobic aggression. The author examined how attitudes towards gay males mediated
the relationship between observation of peer homophobic aggression such as bullying
among school mates (Prati, 2012). Social cognitive processes such as observations of
peer aggression predicted self-reported homophoic aggression towards those who were
32
preceived as gay (Prati, 2012). Prati (2012) stated that the use of social cognitive theory
was appropriate as it focused on how humans process and intergrate information based on
social experiences.
Shafer & Silverman, (2013) applied social learning theory as a framework to
understand behaviors and cognition of school aged bullies and victims in order to design
a music therapy intervention. Pronk, Goossens, Olthof, De Mey, & Willemen, (2013)
conducted a study examining differences in the cognitions of outsiders and defenders in
bullying victimization situations. Using the self-efficacy aspect of social learning theory,
the reserachers hypothesized that the belief that one has the tools to handle bullies, would
determine whether they intervened on the victims behalf (Shafer & Silverman, 2013).
Study results were reported as outsiders and defenders differed in their actions when
witnessing victimization based on their beliefs about their abilities; whereby, outsiders
intervened indirectly rather than directly and defenders intervened directly rather than
indirectly (Pronk, Goossens, Olthof, De Mey, & Willemen, 2013). Additionally, both
outsiders and defenders reported that they would intervene if the victim was a friend
verses a peer (Pronk et al., 2013).
In a more general context as it related to overall violence among teens, Bradshaw,
Rodgers, Ghandour, & Garbarino, (2009) examined the association between youth
violence exposure and aggression where they hypothesized that the effects would be
greatest for total exposure to violence because of cumulative risk. Social cognitive theory
was applied based on the assumption that experiences shape thoughts and behavior;
therefore, exposure to violence influenced the formation of beliefs about the appropriate
application and effectiveness of violence as a way to handle threats (Bradshaw et al.,
33
2009). It is this conceptualation of social learning theory as it relates to how experiences
shape thoughts that makes the theory appropriate for this study as the experience of being
a victim of one form of violence ( bullying) may influence the potential of becoming a
victim of other forms of violences ( teen dating violence).
Literature review related to key variables
Teen dating violence
The Center for Disease Control and Prevention (2014a) reported that teens who
experience violence within their relationship are more likely to view violence as an
appropriate means of dealing with anger within relationships, use alcohol, come from
communities or homes where they witnessed violence, have a peer group whereby
violence is condoned, suicidal thoughts, increased sexual risk, suffer from depression or
anxiety, and have a history of aggressive behavior. In exploring the literature on teen
dating violence, most studies referenced risk factors as stated by the Center for Disease
Control and Prevention as a rational for understanding how these risk factors help inform
prevention of teen dating violence. Furthermore, in a nationwide survey 23% of females
and 14% of males, who reported ever experiencing intimate partner violence, stated that
their first occurrence was between the age of 11 and 17 (Center for Disease Control and
Prevention, p. 2014a) . Considering that first dating violence experiences appear to occur
during the teen years (Center for Disease Control and Prevention, 2014a), and bullying
occurs most often among youths, (Robers, Zhang, & Truman, 2011), this research could
advance the field of intimate partner violence by testing possible association between
teen dating violence and bullying.
34
Definintion of teen dating violence
Teen dating violence includes physical, psychosocial or sexual harm by a dating
partner (Center for Disease Control and Prevention, 2014a). This type of violence occurs
as a continum which ranges from single espisode to chronic severe battering (Center for
Disease Control and Prevention, 2014a). Physical violence includes shoving, punching,
slaping kicking, choking, use of a weapon, or restraining (Center for Disease Control and
Prevention, 2014a). Sexual violence relates to unwanted touching, physically forcing a
partner to have sex against their will whether completed or not (Center for Disease
Control and Prevention, 2014a). Consent for sex was not obtained or freely given by the
partner (Center for Disease Control and Prevention, 2014a).
Risk and protective factors
Risk and protective factors for teen dating violence falls into four categories. The
four categories are individual, relationship, community and society (Center for Disease
Control and Prevention, 2012a). Individual risk factors for teen dating violence are low
self esteem, low income, low academic achievement, aggressive or delinquent behavior,
history of mental illness, history of alcohol abuse, drug abuse, and impulsive or
aggressive tendencies (Center for Disease Control and Prevention, 2012a). Relationship
protective factors for teen dating violence are nurturing parenting skills and stable family
relationships (Center for Disease Control and Prevention, 2012a). Postitive relationships
with parents may act as a protective factor as it relates to involvement in violent
relationships both intimate and social (Black et al., 2015; Maas et al., 2010) . Community
protective factors for teen dating violence are connectedness between teens and their
neighborhoods, after school and recreational programs, and communities that take
35
responsibility as it relates to violence prevention (Center for Disease Control and
Prevention, 2012a). Societial risk factors are laws that maintain unequal access to goods,
services and opportunities, or societal norms that support violence and male dominance
(Center for Disease Control and Prevention, 2012a).
The goal of public health as it relates to teen dating violence is to reduce risk
factors and increase protective factors. Protective factors which may prevent against
violence have not been studied as much as risk factors (Center for Disease Control and
Prevention, 2012a). Research on teen dating violence has focused on identifying risk
factors in search of protective factors. Research on teen dating violence makes the
assumption that if risk factors are identified, such identification will help to prevent
violence. In actuality, as much as we know about risk factors, little is known about the
causes of teen dating violence. Without an understanding of the cause(s) of teen dating
violence, primary prevention is dismal. To fully understand what protects against teen
dating violence, research needs to start at the beginning of life, before one has been
exposed to indiviudal, relationship, community, and societal risk factors which puts them
at risk for dating violence. Researchers would need to conduct experimental studies with
a true control group of teens who were not exposed to any risk factors and this is not
practical. As a result, research in the area of teen dating violence continues to work
backwards where analysis occurs after exposure .
Application of risk and protective factors in the literature
In conducting the literature review, several studies were guided by the risk factors
as identified by the Center for Disease Control and Prevention. Maas et al., (2010)
conducted a study using prospective and retrospective longitudinal methods to identify
36
childhood predictors of teen dating violence among 941participants. The authors reported
that bonding to parents and social skills protected females against teen dating violence in
part by reducing alcohol use; whereas, childhood bonding to parents was indirectly
related to teen dating violence victimization for males (Maas et al., 2010). Similar to
Maas et al., ( 2010) study, Makin-Byrd & Bierman, (2013) study examined aspects of
childhood which could predict dating violence in late adolesence. Makin-Byrd &
Bierman ( 2013) conducted a 12 year longitiudal study involving 401 children from
kindergarten to age 18) . The focus of the study was to examine whether aggressive
family dynamics predicted development of dating violence, both perpertration and
victimization. The authors reported results as aggressive family dynamics during
childhood and early adolesence having a postive influence on the development of both
perpetration and victimization of dating violence in late adolescence (Makin-Byrd &
Bierman, 2013). Another study which focused on childhood risk factors for teen dating
violence was conducted by Tyler et al., (2011), where they studied the effects of poor
parenting on victimzation and perpertration of teen dating violence of approximately 900
males and females in grades 7 to 12 . This longitudinal, study results were reported as
more physical abuse and low parenting warmth being linked to victimization and
perpertration of dating violence (Tyler et al., 2011) In a more broader context,
McNaughton Reyes, Foshee, Bauer, & Ennett, (2012) conducted a study examining
family, peer, and neighborhood violence as it related to alcohol use and teen dating
violence. The authors reported that teens exposed to higher levels of family violence and
friend dating violence had heavier alcohol use and dating violence (McNaughton Reyes
et al., 2012). The study conducted by Maas et al., (2010) confirmed the link between
37
alcohol use and teen dating violence where they reported that early adolescence alcohol
consumpton increased risk of late adolescence teen dating violence. Although the
timeframes for substance use may differ between the two studies, the link between
alcohol use among teens and dating violence is evident . These results demonstrate the
mulitfacted aspects to teen dating violence which makes it difficult for a one size fits all
approach to prevention. Despite the acknowledgement that teen dating violence is
complex, risk factors which focus on how race/ethnicity protects or is a risk factor for
teen dating violence is limited in the literature.
Gender and teen dating violence
Gender dominates the literature as it is related to teen dating violence. Several
researchers stated that females are more likely to be victims of dating violence and/or
experience more adverse effects (Alleyne et al., 2011; Coker, et al., 2014; Exner-Cortens
et al., 2013; Maas et al., 2010). Most of these findings regarding gender were
supplementary finding in those studies and not the primary focus of the study. However,
the study conducted by Tyler et al., (2011) focused on gender where the authors pointed
out that females were more likely to report having perpetrated dating violence. Another
study which reported gender differences between types of dating violence perpetration
was conducted by Niolon, et al., (2015) where they stated finding that more girls than
boys reported perpetrating verbal/emotional, threatening behaviors and physical abuse
towards partners while boys were more likely to report perpetrating sexual abuse towards
their partner. Additionally, Maas et al., (2010) reported their findings based primarily
along gender lines where they stated that female’s higher bonding to parents predicted
lower risk of being a victim of dating violence.
38
Although the primary focus of the Coker, et al., (2014) study was not gender,
results related to gender were reported by the authors who conducted a study using a
school-based sample of 14,190 to examine dating violence victimization and perpetration
rates among high school students . The authors reported that females had a higher rate of
victimization and perpetration of dating violence than males (Coker, et al., 2014). Exner-
Cortens et al., (2013) conducted a longitudual study using the National Longitudinal
Study of Adolescent Health of 5,681 participatants where they explored associations
between teen dating violence and adverse health outcomes. The authors reported that the
results demonstrated that female victims reported adverse outcomes related to physical
and psychological victimization; whereas, males reported adverse outcomes related to
psychological victimization only (Exner-Cortens et al., 2013). Additionally, female
victims had longer lasting adverse health outcomes than male victims (Exner-Cortens et
al., 2013). In examining predisposing factors related to dating violence, one study
reported that males from maltreated families had greater risk of threatening and physical
abuse in dating relationships (Wolfe et al., 2009). Despite recognizing issues related to
gender as it related to teen dating violence, what was absent from the literature were
studies which focused on/or reported results related to differences in gender along racial
lines. The Center for Disease Control and Prevention (2008, 2010) reported that based on
a national survey, Black and Hispanic teens reported higher levels of dating violence than
their white counterpart. Despite these results by the Center for Disease Control and
Prevention, limited knowledge regarding gender and African Americans can be gained
based on current research due to the lack of attention to African Americans as it relates to
teen dating violence. Such limitations thwart prevention efforts by public health, as
39
programs may not address the needs of all populations. Although the current study results
cannot be generalized to all African Americans, presenting results as it relates to gender
and race will help fill existing gaps in the literature.
Power and teen dating violence
Researchers appear to question whether or not power plays a role in teen dating
relationships as it does in adult intimate partner violence. Questions regarding power
issues within romantic relationships involving teens exist due to findings that female
perpetrate violence at a similar rate as males (O'Leary, Smith Slep, Avery-Leaf, &
Cascardi, 2008;Renner & Whitney, 2010) . Giordano, Soto, Manning, & Longmore,
(2010) reported in their study of 956 adolescence that mutual violence ( victimization and
perpetration) was the most common forms of dating violence and power balance within
theses relationships were negatively associated with reports of violence where
respondents who reported less favorable power balance, had greater odds of violence
with males perpretators reporting having less favorable power balance. Further findings
from the study showed no significant difference between relationships where violence
occurred and did not occur as it related to intimacy ( levels of love, self disclosure, and
perceived partner caring) (Giordano et al., 2010). These results signify that there is more
to teen dating violence that warrants further exploration. A balanced relationship does not
mean that the relationship is equal (Emerson, 1962). As long as the relationship involves
needs, someone will always be in the position of dependency. Blau (1964) stated that
each individual associate with others for what benefits it brings. There could be a benefit
from having a need met within or by the relationship, or there could be a benefit from
40
being able to fulfill a need within the relationship. Both the giver and the receiver have
something to gain by being involved with the relationship.
Aspects of the relationship do not always go as smooth as one may expect.
Power-dependency theory pointed to what happens in relationships that are unbalanced or
unequal. The person that is in the position of dependency has various options which can
be utilized to either decrease the cost of obtaining the needed benefit and or employ
alternatives in accessing the benefit. Both decreasing the cost and utilizing alternatives
can reduce power and bring balance to the relationship. However, balance does not mean
equal. There is still an element of power within the relationship despite the relationship
being balanced.
Within teen relationships where the relationship is unbalanced, Emerson’s (1962)
perspective focuses on the complexity of the relationship which creates powers of one
individual over another. For example, if the relationship between the two teens were
intimate, the nature of intimacy between the two would create dynamics that may be
different within a non-dating relationship situation. Therefore, when examining the power
structure of teen relationships, power has to be defined not based on whether the teen
with the power (perpetrator) is male or female but rather on the dynamics of the
relationship that contribute to the power structure.
It is possible that teens’ definition of intimacy impacts how they respond to
questions about control within their relationship (Martin, Houston, Mmari, & Decker,
2012). Cultural norms within various ethnic groups may also play a role in perceptions of
power within dating relationships. Norms of a culture will often dictate what acceptable
use of power is; therefore, if the use of power conforms to cultural norms, the norms
41
would have to be challenged before the use of power can be addressed (Patton et al.,
2013) One’s cultural background helps to define what is considered to be appropriate
(Cheek, 1976) . The issue of power is relevant for the purposes of this study due to the
focus on teen dating violence and bullying; whereby, bullying is centered around power
(Olweus & Limber, 2010).
Bullying
The literature on bullying focused on sexual bullying, Cyberbullying, face-to-face
bullying, and school bullying. Most studies focused on perpetration of bullying. There
were some studies that examined co-occurrence of teen dating violence with other forms
of violence (Miller, et al., 2013;Yahner et al., 2014; Zweig et al., 2013), where a majority
focused on sexual violence/harassment and bullying (including cyberbullying).
Most of the literature referenced the definition of bullying developed by Olweus
of Norway who conducted one of the first comprehensive studies on bullying in the
1970’s. Olweus’s definition references the issue of power imbalance as part of a
repetitive aggressive behavior which is intended to cause harm to another (Olweus,
1994). Blau, (1964) attributed power to the individual where the focus was on how the
individual attained power by imposing his or her will on the other individual . Blau’s
(1964) perspective focused on the actions of the individual that creates power imbalances
rather than the imbalance of the relationship itself. This distinction is significant in
examining the relevance of power within teen social context. Blau’s (1964) perspective’s,
offers an opportunity to focus on the mechanism utilized by teens in order to get the other
to conform to his or her desire, which created the power structure. In this case, it is the
42
action of each teen that leads to one having power over the other regardless of the nature
of the relationship. Those who bully, usually have a strong need to portray dominance
and power, while enjoying the control they erect over those whom they perceive as weak
(Powell & Ladd, 2010).
Aggressive behavior that is defined as bullying could be direct or indirect. Direct
bullying is face to face and includes picking on the other person and/or hitting or
slapping; whereas, indirect bullying is social exclusion and spreading rumors (Foshee, et
al., 2014). Boys have been found to perpetrate more direct bullying than girls; whereas,
there was no significance found as it related to indirect bullying for either boys or girls
(Foshee, et al., 2014). However, girls and boys are both victims and perpertators of
bullying (Siyahhan, Aricak, & Cayirdag-Acar, 2012). Olweus developed a survey which
is now referred to as the Olweus Bullying Survey which included a sample of 25,000 to
50,000 (Fredland, 2008). It is the issue of power imbalance that made it appropriate to
undertake this study for association between teen dating violence and bullying among
African-American teens. In a broader context, intimate partner violence has been linked
to power (Wagers, 2015;Whiting, Oka, & Fife, 2012). Although there are still questions
as to whether or not power and control issues exist within teen dating relationships,
bullying has a key component of power where there is an imbalance of power (Olweus &
Limber, 2010). Similarly, African-Americans are an ethnic group known to be
stigmatized and discriminated against (Patton et al., 2013) which may create a power
imbalance within our society.
43
Bullying and teen dating violence in the literature
Several studies focused on comparing various forms of bullying. Kowalski &
Limber, (2013) conducted a study examining co-occurrence of traditional bullying and
cyberbullying among a sample of 931 6
th
through 12
th
graders. Schneider et al, (2012)
conducted a study using a national data to examine prevalence of school bullying,
cyberbullying and psychological distress among 9
th
to 10
th
graders. Wang et al., (2011)
conducted a study comparing cyber and traditional bullying as it related to depression
among 6
th
to 10
th
graders. In an earlier study by the same authors, Wang et al., (2009)
conducted a study where they examined school bullying and compared physical, verbal,
relational and cyber bullying among 7,182 6
th
to 10
th
graders. All of these authors
reported that there was overlap among the various forms of bullying being examined .
There were some studies that examined co-occurrence of teen dating violence
with other forms of violence such as bullying (Miller, et al., 2013; Yahner et al., 2014;
Zweig et al., 2013), where a majority focused on sexual violence/harassment and
bullying( including cyberbullying). In a longitudinal study of 1,154 adolescents Foshee,
et al., (2014) hypothesized that perpretation of bullying in sixth grade would predict onset
of perpretation of physical dating violence by eight grade. Results were reported as boys
reported significantly more direct bullying than girls, black students reported more direct
bullying than whites, onset of physical dating violence was less likely for boys than girls
and more likely for black adolescents, and perpertation of direct bullying in the sixth
grade was associated with physical dating violence by eight grade (Foshee, et al., 2014).
The authors discussed how changes within the social context of adolescents as they move
into mixed gender and dating relationships, transitions bullying behavior in early
44
adolescents to violence towards their dating partner in later adolescence (Foshee, et al.,
2014). Taking this perspective into consideration, it is feasible that the current study
which examines the co-occurrence of dating violence and bullying among teens
especially African American teens will help fill existing gaps in the literature as it relates
to such association. A simiar study by (Ellis & Wolfe, 2014) of 585 adolescents who
completed self-report assessment related to bullying and dating violence perpetration and
victimization, results were reported as bullying positively predicting dating violence
perpetration and victimization(p.1) . Additionally, bullying of boys was significantly
related to dating violence perpetration (Ellis & Wolfe, 2014) . Studies such as these and
Miller, et al., (2013) who reported that dating violence and bullying co-occurred in the
same adolescents warrants the need for further studies which specifically focus on co-
occurrence of bullying and teen dating violence as such studies are limited . Viewing
early aggression in the form of bullying which occurs in early adolescents as a prelude to
later dating violence as the social context of adolescence relationships change, presents
justification from a public health perspective to examine potential associations.
Cyberbullying
Cyberbullying among teens has exploded in the literature and the media such that
most of the recent research on bullying has centered around cyberbullying. As technology
expands, cybertools such as texting, video messaging, social networking has changed the
way teens communicate with each other. With these new tools, teens have used this
method for bullying peers and dating partners(Alvarez, 2012). The literture on bullying
has began to focus on the use of cybertools to control dating partners but is very limited.
Due to the ability to reach a wide audience and remain anonymous; cyberbullying may be
45
more menacing that traditional bullying (Burton, Florell, & Wygant, 2013). Futhermore,
research on cyberbullying suggest that this form of bullying may impact depression and
suicidal ideation more than traditional bullying (Bonanno & Hymel, 2013; Patchin &
Hinduja, 2010).
In a longitudinal study of 1,154 adolescents conducted by Foshee, et al., (2014),
the authors reported that direct bullying (perpetration) in sixth grade predicted onset of
dating violence perpetration in eight grade (p.439). Similar to Foshee, et al study, Ellis &
Wolfe, (2014) reported that bullying predicted victimization and perpretation of dating
violence in their study of 585 9
th
through 11
th
graders in a Canadian public high school
(p.5). Both studies reported results by gender, but Foshee, et al., (2014) reported on
results related to race whereby African Americans reported more direct bullying
(perpetration) than whites and prediction of the onset of physical dating violence
perpetration was more likely for African American teens . Zweig et al., (2013) conducted
a study of 5,647 youth where they examined cyber dating abuse among teens and other
forms of violence. The authors defined cyber dating abuse as use of technology to
commit abusive acts within a dating relationship. Results were reported by the authors as
over 25% of respondents reporting experiencing cyber dating abuse victimization with
females reporting greater victimatzation of cyber bullying specifically sexual cyber
dating abuse (Zweig et al., 2013). Similarly, Lucero, Weisz, & Smith-Daren, (2014)
conducted a qualitative study of 23 10
th
graders in Michican whereby they examined
gender differences in technology use /abuse among teens. Study results were reported as
texting and social networking being the most common type of socially interactive
46
technology used for abusive actions such as spying/ monitoring, sexting, and password
access as a consequence of distrust and jealousy (Lucero et al., 2014).
Several studies focused on cyberbullying as it related to teens in general. Included
in cyberbullying was the issue of cyberdating abuse. Additionally, Schneider et al.,
(2012) used data from a Massachusetts census of high school students where they
examined prevalence of cyberbullying and school bullying victimization and association
with psychological distress. Results were reported as a majority of those who reported
being victims of cyberbullying were also victims of school bullying . Additionally,
psychological distress was higher for those who reported both cyberbullying and school
bullying (Schneider et al., 2012). Futhermore, the authors stated that there was little to no
difference as it related to race/ethnicity (Schneider et al., 2012). Similar to Schneider et
al., (2012), Wang et al., (2011) reported that depression was associated with cyber
bullying and traditional bullying but victims of cyberbullying reported higher levels of
depression than perpetrators. There was one study whereby the authors reported that
African American teens were more involved in physical, verbal or cyber bullying and less
likely to to be verbally or relationally victimized (Wang et al., 2009). Another study
involving 10,254 middle school youth had results which the authors reported related to
race where African American youths were more likely to report bully-victim and victim
than groups not involved in bullying (Goldweber et al., 2013). It was difficult to find
African American teens as a focus in studies on bullying whereby most of the studies
included predominantly white samples.These results point to the gap in the literature
whereby African American teens are absent. Futhermore, the negative effects of bullying
on the health of teens contributes to the need for research to further understand the
47
complexities associated with African American teen dating violence for better targeted
programs.
Sexual bullying
Sexual bullying is built on the definition of bullying by adding sexual interest and
usually begins in early adolescence (middle school). This type of bullying occurs when
there is repetitive teasing, taunting, harassment, and threats with malicious intent where
one party has a sexual interest (Fredland, 2008). The perpetrator may present as having a
romantic interest in the victim but there is a lack of consideration for the victim and there
exist a power imbalance (Fredland, 2008). As adolescences grow older, sexual bullying
has the potential to escalate into other forms of violence including emotional, physical,
teen dating violence and sexual assault (Fredland, 2008). In a longitudinal study on
bullying perpetration and subsequent sexual violence perpetration conducted by Espelage
et al., (2012) reported that bullying perpetration and homophobic teasing were significant
predictors for sexual harassment in a sample of 820 middle school students (p. 60).
Additionally, the authors hypothesized that as these adolescents move into opposite
gender peer relationships, perpertation of sexual violence is likely but although their
results suggest this might be true, this was not shown by their research as this required a
longer study (Espelage et al., 2012) . In a longtitudal study of 1,734 adolescents
conducted by Chiodo, Wolfe, Crooks, Hughes, & Jaffee, (2009), results were reported as
sexual harrassment victimization in early adolescence being associated with higher risk
of other forms of relationship type violence including physical dating violence 2.5 yrs
later (p.246). The Center for Disease Control and Prevention, (2012b) stated that the
connection between bullying and sexual violence cannot be over looked and research
48
which focuses on examining the association is needed as middle schoolers move from
same sex peer relationships to opposite sex social context, bullying behavior could lead to
sexual violence. The literature makes reference to the possibility that bullying of a sexual
nature could lead to other forms or violence and the lack of appropriate research;
therefore, this current study will expand the research on bullying by examining
association with teen dating violence.
School bullying
School bullying occurs within the educational setting (Serra-Negra, et al., 2015).
Types of school bullying include verbal, physical, relational and indirect such as
spreading rumors (Serra-Negra, et al., 2015). Schools are where teens spend most of their
time and during that time, they are involved in social relations, which makes the school
setting an ideal place for the occurrence of bullying (Serra-Negra, et al., 2015) .
In a cross-national study, data was collected through anonymous self-report
questionnaires of 7,182 6
th
to 10
th
graders where on the question of bullying ( victim or
perpretator) at school in the previous 2 months, 20.8% reported physical, 53.6% verbal,
51.4% social and 13.6% electronic (Wang et al., 2009). Similar results were found in a
study of 20,406 9
th
through 12
th
graders in MetroWest Massachuseets using a survey,
25.9% reported school bullying in during the previous 12 months (Schneider et al.,,
2012). Futhermore, school bullying has been linked to lower school performance and
school attachment (Schneider et al., 2012). School bullying has drawn national attention
due to recent cases of suicides related to school bullying. It is well documented in the
literature that school related bullying negatively impacts the emotional health of victims
(Williams & Peguero, 2013).The most public cases of school bullying did not involve
49
African American teens which may send the wrong message to policy makers as they
allocate resources to programs to address bullying. African American children are more
likely to be labeled as aggressive by their teachers and peers (Goldweber et al.,
2013).This brings into question whether or not the school system is adequately equipped
to meet the needs of African American children especially as they move through the
educational system into high school. African American teens may have special needs not
readily addressed by current school based anti-bullying programs and without research
which primarily targets this population, perpetual marginalzation will continue.
Ethnicity/race
Dating violence and bullying among teens are major public health issues
deserving of research to understand risk and protective measure with a goal of primary
prevention. Currently there is limited research which examines the complexities of
African Americans within communities where African Americans constitute a large
portion of the population. Most studies although reporting results related to race, fail to
target their samples within large African American populations. The social context
whereby African American teens reside plays an important role in how they
operationalized their dating and social relationships. African American teens are more
likely than their white counterparts to live in communities where prevalence of violence
is higher (Martin et al., 2012; Patton et al., 2013).
Teen dating violence and ethnicity/race
Despite an overwhelming focus in the literature on risk factors for teen dating
violence and negative impact of dating violence, few studies examined teen dating
violence in the context of ethnicity/race as the targeted population (Black, et al., 2014;
50
Boothe M. A.et al., 2014;Bradshaw et al., 2013;Freeman & Temple, 2010;Henry &
Zeytinoglu, 2012;Redhawk Love & Richards, 2013;Temple & Freeman, 2011).
Furthermore, there was a gap in the literature regarding teen dating violence with co-
occurrence with bullying among African American teens as such studies to date did not
exist.
A disparity within the literature existed whereby, unless a study targeted African
American teens (Black, et al.,2014 ; Boothe et al., 2014; Redhawk Love & Richards,
2013), most studies were conducted using a majority white sample . Additionally, the
majority of the studies albeit few, which targeted African American youth was conducted
in low income urban areas (Niolon, et al., 2015) . Results from studies where the sample
came from populations of low income urban areas, may not represent the full spectrum of
African American teens but it is understandable why researchers in the field of dating
violence would choose their sample from low income urban areas in order to capture
large samples of African Americans and the link between low income urban communities
and prevalence of violence.
When race/ethnicity was discussed in the literature, there were contradictions as
to whether or not race/ethnicity was associated with teen dating violence. Temple &
Freeman, (2011) reported that in their study of 1,565 ethnically diverse teens in southeast
Texas, they did not see an association between dating violence and being African
American, white or Hispanic (p.701) . Contrast to the Temple & Freeman study, the
Youth Risk Behavior Surveillance ( YRBS) 2009 showed that African American teens
had the highest rate of teen dating violence victimatization (Center for Disease Control
and Prevention, 2010). The study conducted by Tyler et al., (2011) aligned with the
51
YRBS data where the authors conducted a study consisting of 1,025 adolescence (49.8%
white, 24% black, 11.5% Hispanic, and 14.7% other) and reported findings of black
youth being more likely to be victims of dating violence than their white counterparts.
Bullying and ethnicity/race in the literature
Although there were few studies where the sampling of African American youth
were predominant, an association between bullying and race/ethniciy was prevalent
throughout the literature. Kowalski & Limber, (2013) stated that their sample of 931
students from grades 6 to 12 was conducted in a school where the population was 95%
white. Futhermore, race was not recorded on the self administered surveys (Kowalski &
Limber, 2013) . Another study conducted by Bauman et al., (2013) using the 2009
Arizona Youth Risk Behavior Survey of 1,491 high school students included a sample of
4.4% African-Americans. There was one study which focused on race, urbanicity, and
patterns of bullying where the authors reported that their sample was ethnically diverse
while stating that 62.4% where Caucasian, 19.0% African American and 5.6% were
Hispanic (Goldweber et al., 2013). This brings into question the definition of diversity in
research.
Bradshaw et al., (2013) conducted a study of 16,302 adolescent where they
examined various subtypes of bullying and association to health risk. The authors
reported results as African American adolscents being more likely to being involved in a
gang. Additionally, in a study involving 7,182 teens from grade six through ten, the
authors reported that African American adolescence perpertated verbal, physical, and
cyber bullying and less victimization as it related to verbal and relational bullying (Wang
et al., 2009). Furthermore, Goldweber et al., (2013) reported that their results from a self
52
report of 10,254 middle school youth revealed that African American youth were at
greater risk of bully victimatizaton (p.213) . Additionally, Boothe et al., (2014) conducted
a study using the 2009 Youth Risk Behavior Survey where they examined difference in
sexual behavior among various ethnic groups and reported that sexual behaviors were
associated with race/ethnicity and dating violence. As it related to the impact of academic
achievement, Williams & Peguero, (2013) reported that Blacks who were higher
achievers reported higher bullying vicitimization in a study where African American’s
were oversampled in order to obtain adequate representation for analysis.
Conclusion
This literature review demonstrated that there is a major gap in the literature as it
relates to teen dating violence and co-occurrence with bullying among African American
teens. The literatrue related to teen dating violence clearly established the negative
impact of teen dating violence and bullying although this variable was examined
separately in most studies. Programs geared towards addressing the problem of teen
dating violence and bullying occur in isolation of each other which may not be meeting
the needs of teens. In examining the relationship among teen dating violence, bullying,
and race/ethnicity this study could help to better target program resources.
53
Chapter 3: Research Method
The purpose of this quantitative study was to explore and test the relationship
between experiencing bullying and experiencing dating violence. The data was drawn
from the 2013 YRBS. African American teens were compared to teens that self-identified
as White or Hispanic in the survey. The following chapter includes the research design
and rationale (purpose, design, and rational), methodology (definition of the population,
sampling and sampling procedures, data access and collection, instrumentation and
operationalization of constructs, and data analysis), and threats to validity
(internal/external threats) and ethical considerations.
Research Design and Rationale
To explore and test the relationship between experiencing bullying and
experiencing dating violence, I used a quantitative survey design. An analysis of the
relationship between the dependent variable (teen dating violence victimization) and the
independent variable (bully victimization) while controlling for race/ethnicity, age,
substance abuse, and age of first sexual intercourse was conducted. Possible mediating
variable (spending time with a parent) was evaluated. The quantitative cross-sectional
research design used for this study relies on data previously collected from a self-
administered school-based national survey. The secondary data was from the self-
administered questionnaires of Palm Beach County public high school students in the
spring of 2013 for use in the Center for Disease Control YRBS. Participants who were in
attendance on the day of the survey completed the questionnaires during a class period.
Their responses were entered on a computer scannable answer sheet and booklet (Center
for Disease Control and Protection, 2014c).
54
Cross-sectional design is often used in research which employ surveys as the
method for data collection (Frankfort-Nachmias & Nachmias, 2008). The research
questions for this study focused on describing patterns of relationship between variables
which is a common application of cross-sectional design (Frankfort-Nachmias &
Nachmias, 2008) . Responses to survey questions regarding victimization of bullying and
teen dating violence, does not allow for manipulation of the independent variables
bullying, race/ethnicity, and gender. As a result, before and after comparisons will not be
possible which prevents causality. Use of a cross-sectional design will allow for analysis
which utilize statistical methods to compensate for the inability to show causality while
demonstrating the relationship between the variables (Frankfort-Nachmias & Nachmias,
2008).
The YRBS included the relevant data to analyze the relationship between bully
victimization and teen dating violence victimization. Using a cross-sectional design
allowed analysis of survey responses from the most recent YRBS which is one of the few
datasets that captured bully victimization and teen dating violence victimization within
South Florida. The National Survey of Children’s Exposure to Violence [NatSCEV] is a
large national representation sample of over 4,500 children ages 17 and younger which
focuses on estimating various types of violence, crime and abuse including bullying,
sexual victimization and domestic violence (U.S. Department of Justice: Office of Justice
Programs, 2011). Despite being a data source for violence victimization related to
bullying, the NatSCEV did not assess teen dating violence victimization and did not
provide data for indvidual states or locatities such as Palm Beach Florida (U.S.
Department of Justice: Office of Justice Programs, 2011) . Another large national survey
55
which collected data on violence among teens but did not meet the needs of my study due
to lack of data on teen dating violence and bully victimization was The National
Longitudinal Study of Adolescent to Adult Health[NLSA]. The NLSA collects data on
students in grade 7-12 at Wave I (1994-1995) with follow-ups at Wave II( 1996), III
(2001 and 2002), and IV(2008 and 2009) (Harris, et al., 2009). Due to reliance on
archival data which was readily available for public use, there was no time or resource
constraints.
Cross-sectional design is the most applied design within the social sciences
(Frankfort-Nachmias & Nachmias, 2008).The application of cross sectional design using
national survey’s has been documented in the literature as it related to dating violence
and bullying . Bauman et al., (2013) used data from the 2009 Arizona YRBS to examine
relationships among depression, suicidal behaviors and bully victimization and
perpetration of bullying. Boothe, Rula, Lassiter, & Holland, (2015) conducted a study
using data from the 2009 YRBS where they examined differences in sexual behaviors
among various female ethnic groups who reported exposure to dating and sexaul
violence. Rice, et al., (2015) conducted a study of middle schoolers using data generated
from the 2012 YRBS in Los Angeles; whereby, the researchers examined associations
between gender,race and sexual idenity and technology use and cyberbullying
experiences and behaviors. In a study conducted by Hamby et al., (2012), a cross
sectional design was used based on data from the NatSCEV to examine co-occurrence of
physical teen dating violence with other forms of vicitimization. These previously
published studies support the design and analysis of my dissertation study.Use of cross-
sectional design for research allows examination of various public health concerns among
56
youths. Surveys which are designed to accommodate the daily school schedule ( class
periods) such as the YRBS, allows for collection of large amounts of data from a large
sample; whereby, analysis of various health-risk behaviors and subsequent associated
factors can transpire, furthering the knowledge of the field (Center for Disease Control
and Prevention, 2014a).
Methodology
Population
The population for this study was Palm Beach County public high school students
in grades 9 to 12. The 2013 Palm Beach County YRBS targeted all public high school
students in grades 9 to 12. All 23 high schools in Palm Beach County were eligible to
participate in the survey and all 23 participated.
Sampling and Sampling Procedures
The 2013 Palm Beach County YRBS included 2,376 students in the sample
(Center for Disease Control and Prevention, 2014b). I reviewed a total of 1,849
completed questionnaires of which 1,836 were usable after postdata editing; whereby,
questionnaires which failed quality controls(less than 20 remaining responses after
editing or had the same answers for greater than/equal to 15 consecutive questions were
considered unusable (Center for Disease Control and Protection, 2014b) . Twenty-three
public high schools in Palm Beach County completed the survey in the spring of 2013
(Center for Disease Control and Protection, 2014b). There was a 77% response rate
which was calculated as number of participating schools/ number of eligible sampled
schools x number of usable questionaires/number of eligible students sampled rounded to
the nearest integer (Center for Disease Control and Protection, 2014b). A two stage
57
sampling design was used for the 2013 YRBS. An initial sample of all public high
schools that had 9-12 grades was selected, followed by a probablity sampling of classes
with a random start in each selected school; whereby, each student within a required
subject or all classes meeting during a particular period of day were invited as particpants
Center for Disease Control and Protection, 2014b). Participants questionnaries were
weighted for representation of all Palm Beach county public high school students and to
reduce bias as it compensated for differences in patterns of non response (Center for
Disease Control and Protection, 2014b).
Power analysis
To determine the power of the sample size, I selected a medium effect size at .15,
statistical power level was set at .80, probability level was set at .05 and predictor was 3.
Using prior Sample Size Calculator for Multiple Regression, the resulting sample size
was 76. Based on these results, a sample of 2,376 used for the Palm Beach County 2013
YRBS was appropriate.
Archival Data
This study was a secondary analysis of archival data collected from a sample of
public high school students in Palm Beach County in Florida during the spring of 2013.
Due to the use of archival data for this study, I did not have contact with the students who
completed the original survey. All measures for this study were unobtrusive; whereby,
the method of data collection did not include my direct contact with events, interactions,
or behavior of the participants under investigation. The Center for Disease Control and
Prevention provided funding for the collection of data within Palm Beach counties Center
for Disease Control and Protection, 2014b).
58
Upon approval by Walden IRB and assignment of an IRB number, a request for
data was completed and submitted to the Center for Disease Control and Prevention and
Palm Beach County Department of Health in order to gain access to the data .
Instrumentation and Operationalization of Constructs
Instrumentation
The YRBS used in Palm Beach was developed by the Center for Disease Control
and Prevention for the purposes of (a) describing the prevalence of health-risk behaviors
among youth and (b) assessing trends in health-risk over time with a goal of providing
public health professionals with the tools needed to evaluate and improve policies and
programs which target youth (Center for Disease Control and Protection, 2014a) . The
first YRBS survey was developed in 1991 and has been conducted biannually nationally
in schools based in state, territorial, tribal, and large urban school districts (Center for
Disease Control and Protection, 2014c) . In 1997 the Center for Disease Control and
Prevention reviewed the questionnarie and made adjustment to the questions in order to
meet the Healthy People 2010 health objectives (Center for Disease Control and
Protection, 2014c). The current 2013 questionnarie includes minor changes based on
feedback from experts within and outside of Center for Disease Control and Prevention
(Center for Disease Control and Protection, 2014c). Suggested changes to questions were
placed on a ballot accessible by YRBS coordinators at each site, whereby votes for or
against additions, deletion, or changes occurred (Center for Disease Control and
Protection, 2014c).
The national standard questionnaire is available to states, tribes, and counties.
Sites are able to request to modify the national survey but there are parameters which
59
include keeping two-thirds of the questions unchanged, a limit of eight mutually
exclusive options for responses, and no skip patterns, grid formats, or fill-in responses
Center for Disease Control and Protection, 2014c).
Additonally, questions related to height and weight must be retained as Question
6 and Question 7 and no more than 99 questions are allowed (Center for Disease Control
and Protection, 2014c). The Center for Disease Control and Protection limits the number
of questions due to concerns about student’s ablity to complete the survey within one
class period (Center for Disease Control and Protection, 2014c). Sites wishing to modify
the questionnaires are provided with a list of optional questions which were already
tested for reliability and validity. Sites who wish to develop their own questions, are
provided with assistance by the Center for Disease Control and Protection to assure
reading level appropriateness and alignment with the YRBS.
The YRBS has been used by several researchers to study health-risk and
behaviors of youths (Bauman et al., 2013; Boothe et al., 2015; Mueller, James, Abrutyn,
& Levin, May 2015) . Few surveys collect data on a large scale within the social sphere
of teens the school setting; whereby, county level data is available that provides insight
into the behaviors of teens. The intended goal of using of the YRBS in research is to
allow public health professionals to inform policies and programs which target youth (
Center for Disease Control and Prevention, 2014c). The results from this current study
could help to inform public health professionals in their development of programs which
focus on teen dating violence by demonstrating whether or not there is an association
among dating violence and bullying, race/ethnicity and gender.
60
Permission to use the instrument was not necessary as the data which was
generated from the instrument is available with permission from Palm Beach Secondary
Curriculum Department.
In 1992 and 2000, the Center for Disease Control and Prevention conducted two
test-retest reliablity studies of the national YRBS questionnaries where no significant
difference was found between the prevalence estimates each time the questionnaire were
used in 1992 (Center for Disease Control and Protection, 2014c). Additionally, responses
were found to be less consistent for those in the seventh grade verses those in 9-12 grades
which demonstrated that the instrument was appropriate for the intended grades of 9-12
(Center for Disease Control and Protection, 2014c). In the 2000 reliability study, the
questionnaries were adminstered 2 weeks apart on two occasions whereby significant
differences related to prevalence was found for 10 questions, which resulted in a revision
or deletion for future questionnaires due to concerns about reliability (Center for Disease
Control and Protection, 2014c).
Validity of the instrument which requests self-reported behavior information has
not been studied (Center for Disease Control and Protection, 2014c). The Center for
Disease Control and Prevention conducted a review of the literature as it related to
assessing cognitive and situational factors that could impact validity of self-reporting
behavior and found that there was no threat to validity of self-reports despite being
affected by cognitive and situational factors (Center for Disease Control and Protection,
2014c).
Operationalization
Teen dating violence
61
Two items on the 2013 Palm Beach YRBS were used to measure teen dating
violence victimization. Teen dating violence victimization was defined as being
physically hurt on purpose by someone they were dating or being forced to do sexual
things by someone they were dating. For the purposes of this study, dependent variable
(teen dating violence victimization) was operationalized using variable Q22 and Q23.
Q22. During the past 12 months, how many times did someone you were dating
or going out with physically hurt you on purpose? (Count such things as being hit,
slammed into something, or injured with an object or weapon.)
The measure was coded as follows: 0. I did not date or go out with anyone during
the past 12 months; 0. 0 times; 1. 1 time; 2. 2 or 3 times; 4. 4 or 5 times; 6. 6 or more
times
Q23. During the past 12 months, how many times did someone you were dating
or going out with force you to do sexual things that you did not want to do? (Count such
things as kissing, touching, or being physically forced to have sexual intercourse.)
The measure was coded as follows: 0. I did not date or go out with anyone during
the past 12 months; 0. 0 times; 1. 1 time; 2. 2 or 3 times; 4. 4 or 5 times; 6. 6 or more
times
These two variables (Q22 and Q23) were aggregated together to create a teen
dating violence victimization score (VioScoreAggregate).
Bully victimization
The independent variable bully victimization was measured and defined as when
one or more students tease, threaten, spread rumors about, hit, shove, or hurt another
62
student repeatedly ( Center for Disease Control and Prevention, 2014) . Bully
victimatization variable was operationalized using variable Q24, Q25, Q88,and Q89
Q24. During the past 12 months, have you ever been bullied on school property?
The measure was coded as follows: 0. no; 1. yes
Q25. During the past 12 months, have you ever been electronically bullied?
(Count being bullied through e-mail, chat rooms, instant messaging, websites, or
texting.).
The measure was coded as follows: 0. no; 1. yes
Q88. During the past 12 months, have you ever been the victim of teasing or name calling
because of your weight, size, or physical appearance?
The measure was coded as follows: 0. no; 1. yes
Q89. During the past 12 months, have you ever been the victim of teasing or name calling
because someone thought you were gay, lesbian, or bisexual?
The measure was coded as follows: 0. no; 1. yes Bully victimization score was 0-
4 points based on counting the number of yes and no responses to questions 24, 25, 88,
and 89.
Race/ethnicity
Control variable race/ethnicity was measured based on response to questions on
the 2013 Palm Beach YRBS. Respondents were asked to self-identify their race/ethnicity
by selecting American Indian or Alaska Native, Asian, Black or African American,
Native Hawaiian or Other Pacific Islander or White. Race/ethnicity was operationalized
using variables Q4 and Q5.
Q4. Are you Hispanic or Latino?
63
The measure was coded as follows: 0. Not Hispanic; 1. Hispanic
Q5. What is your race? (Select one or more responses)
The measure was coded as follows: 0. Other; 1. White; 2. Black or African
American.
Gender
Control variable gender was measured by reported sex. Gender was
operationalized using variable Q2 on the 2013 Palm Beach YRBS.
Q2. What is your sex?
The measure was coded as follows: 1. female; 2. male
Spending time with a parent
The mediating variable spending time with a parent was measured by responses to
eating dinner at home with a parent. Spending time with a parent was operationalized
using variable Q97.
Q97. During the past 7 days, on how many days did you eat dinner at home with
at least one of your parents or guardians?
The measure was coded as follows: 1. 0 days; 2. 1 day; 3. 2 days; 4. 3 days; 5. 4 days; 6.
5 days; 7. 6 days; 8. 7 days
Age
Participants’ age was a control variable and operationalized by responses to the
question of age on the 2013 Palm Beach county YRBS.
Q1. How old are you?
64
1. The measure was coded as follows: 1. 12 years old or younger; 2. 13 years old; 3.
14 years old; 4. 15 years old; 5. 16 years old; 6. 17 years old; 7. 18 years old or
older
Age at first sexual intercourse
Control variable age at first sexual intercourse was operationalized by a positive
response to the question of having had sexual intercourse.
Q60. How old were you when you had sexual intercourse for the first time?
The measure was coded as follows: 1. I have never had sexual intercourse; 2. 17 years
old or older; 3. 16 years old; 4. 15 years old; 5. 14 years old; 6. 13 years old; 7. 12 years
old; 8. 11 years old or younger
Substance use
The control variable substance use which included alcohol and drugs was
measured using the 2013 Palm Beach YRBS. Alcohol was defined as beer, wine, wine
coolers, and liquor which included rum, gin, vodka, or whiskey but excluded just taking a
few sips of wine intended for religious purposes ( Center for Disease Control and
Prevention, 2014b). Two variables was used to operationalize alcohol consumption
whereby one determined history of alcohol consumption; whereas, the second variable
was used to operationalize current consumption of alcohol.
Q41. During your life, on how many days have you had at least one drink of
alcohol?
The measure was coded as follows: 1. 0 days; 2. 1 or 2 days; 3. 3 to 9 days; 4. 10
to 19 days; 5. 20 to 30 days; 6. 40 to 99 days; 7. 100 or more days
65
Q42. How old were you when you had your first drink of alcohol other than a few
sips? The measure was coded as follows: 1. Never drank alcohol; 2. 17 years or older; 3.
15 or 16 years old; 4. 13 or 14 years old; 5. 11 or 12 years old; 6. 9 or 10 years old; 7. 8
years or younger.
Drug use was operationalized by using variables related to marijuana, cocaine, sniffed
glue, breathed contents of aerosol spray cans or inhaled paints or sprays for the purposes
of getting high, heroin, methamphetamines, ecstasy, steroid pills or shots, prescription
drug use without a doctor’s prescription, synthetic marijuana and injection of illegal
drugs ( Center for Disease Control and Prevention, 2014b).
Q47. During your life, how many times have you used marijuana?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 or more;
Q49. During the past 30 days, how many times did you use marijuana?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q50. During your life, how many times have you used any form on cocaine,
including powder, crack, or freebase?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q51. During your life, how many times have you sniffed glue, breathed the
contents of aerosol spray cans, or inhaled any paints or sprays to get high?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
66
Q52. During your life, how many times have you used heroin (also called smack,
junk, or China White)?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q53. During your life, how many times have you used methamphetamines (also
called speed, crystal, crank, or ice)?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q54. During your life, how many times have you used ecstasy (also called
MDMA)?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q55. During your life, how many times have you taken steroid pills or shots
without a doctor’s prescription?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q56. During your life, how many times have you taken a prescription drug (such
as OxyContin, Percocet, Vicodin, and codeine, Adderall, Ritalin, or Xanax) without a
doctor’s prescription?
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times; 5. 20 to 39 times; 6. 40 more times
Q91. During your life, how many times have you used synthetic marijuana (also
called K2 or Spice)?
67
The measure was coded as follows: 1. 0 times; 2. 1 or 2 times; 3. 3 to 9 times; 4.
10 to 19 times
Q57. During your life, how many times have you used a needle to inject any
illegal drug into your body?
The measure was coded as follows:
1. 0 times; 2. 1 time; 3. 2 or more times 3. 2 or more times
To create a substance abuse total score, the 13 separate variables (# Q41, Q42,
Q47, Q49, Q50, Q51, Q52, Q53, Q54, Q55, Q56, Q57, and Q91) was aggregated
to create the DrugUse variable. DrugUse variable which was coded as follows: 0.
0-5 Negligible use; 1. 6-13; 2. 14-22; 3. 23-30; 4. 31-39; 5. 40-50; 6. 51-60; 7.
61-79
Data Analysis Plan
Quantitative data was obtained from the 2013 Palm Beach YRBSS. Raw data
related to the selected variables as answered on the questionnaire was obtained and
entered into IBM SPSS version 21 for analysis. Utilization of secondary data for this
study eliminates the need for me to clean and screen the data. According to the Center for
Disease Control and Prevention, original data was cleaned and edited for inconsistencies
and questionnaires which failed quality control standards ( less than 20 remaining
responses after editing or had the same answer to 15 or more consecutive questions) were
excluded from analysis (Center for Disease Control and Protection, 2014c).
Research questions and analysis
68
Research question 1: What is the relationship between race, gender, substance
abuse, age, , and age of first sexual intercourse and the likelihood of being a victim of (a)
bullying, (b) teen dating violence, and (c) bullying and teen dating violence?
H
0
1a: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying.
H
a
1a: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying.
H
0
1b: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of teen dating violence.
H
a
1b: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of teen dating violence.
H
0
1c: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying and teen
dating violence.
H
a
1c: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying and teen dating
violence.
One way ANOVA, Crosstabulation, Games-Howell a post-hoc test, and
multivariate regression analysis were used to analyze research question 1.
Research question 2: Does spending time with a parent mediate any relationships
between experiencing bully victimization and experiencing teen dating violence when
controlling for race, gender, substance abuse, age, , and age of first sexual intercourse.
69
H2₀: Spending time with a parent does not mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for race, gender, substance abuse, age, , and age of first sexual intercourse .
H2ₐ: Spending time with a parent does mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for the influence of race, gender, substance abuse, age, , and age of first sexual
intercourse.
To analyze Research Question 2, mediating variables spending time with a parent
a simple mediation analysis was performed using a macro installed within SPSS, written
by Andrew F. Hayes, called Conditional PROCESS (Hayes, 2012).
Multivariable data analyses
In order to measure the relationship between the dependent variable teen dating
violence victimization and independent variables, bully victimization, gender and
race/ethnicity, multivariable data analysis was conducted. Multiple regressions was used
to assess the relationship between teen dating victimization and bully victimization,
gender and race/ethnicity, while controlling for the effects of age, , substance use, and
age of first sexual intercourse. Examination of the coefficient of determination (R²) was
used to determine the combine effect of the independent variable (Frankfort-Nachmias &
Nachmias, 2008) . Analysis of variance (ANOVA) was used to analyze the independent
and confounding variables which were nominal variables (gender, race, and bully
victimization). Application of ANOVA will allow for examination of difference in
variations among the independent and cofounding variables.
Statistical tests
70
Descriptive statistics was used to describe the data set. Measures of central
tendency (mean, median, and mode) were used to calculate univariate distribution and
describe the average response for each variable. Measures of variability were expressed
using standard deviation to describe the spread of ratio variables. Frequency distribution
was completed to list the categories of each variable and to calculate the number of
observations for nominal or categorical variables. Statistical significance was established
at alpha level of p = .05.
Measuring association
Pearson’s r was used to measure the association between ratio variables.
Application of Pearson’s r as it relates to the strength of association between variables is
best to determine the power around the linear regression line (Frankfort-Nachmias &
Nachmias, 2008).
Confounding variables age and , and age of first sexual intercourse was included
in the study as prior studies results have shown that bullying including sexual
harassment/violence tended to begin in early adolescence around middle school
(Espelage et al., 2012) and transition into dating violence as peer groups become
heterosexual (Miller, et al., 2013) . Age of first sexual intercourse was included to
account for the influence of statutory rape or sexual misconduct victimization prior to
high school as childhood sexual victimization has been associated with intimate partner
violence (Davis, et al., 2012; Hamby et al., 2012). Additionally, substance abuse was
included as control variable as prior researchers have reported positive association
between substance abuse and dating violence (Exner-Cortens et al.,2013; Maas et al.,
2010).
71
Mediating variables spending time with parent was included based on the social
learning theory foundation of this study whereby teen’s behaviors are influenced by
others. Researchers have reported that teens who are engaged in positive relationships
with parents acts as a protective factor for bully victimization (Benhorin & McMahon,
2008) and teen dating violence victimization (Garrido & Taussig, 2013; Maas et al.,
2010; Miga et al., 2012) .
Threats to Validity
External
Threats to the external validity of this study as it relates to interaction of selection
and setting include inability to generalize the results outside of the sample as the current
sample focused on high school students within Palm Beach County. The sample will not
include teens who attended private schools or who were home schooled. Reporting of
results as it relates to this sample without generalization to the larger population will
address this bias.
Internal
There is a potential for selection threat as participants are all from the same
county which may predispose them to emit certain outcomes (Creswell, 2009) . A
sampling frame which included all public high schools with a systematic equal
probability sampling with a random start time to select the classes for participation in the
survey ( Center for Disease Control and Prevention, 2014c) allowed for equal
opportunities for selection. Additionally, students who were absent on the date of the
survey were allowed to particpate at a later date which provided greater representation of
72
all high school students and also increased response rates (Center for Disease Control and
Protection, 2014c).
Threats to construct
The construct related to spending time with a parent poses a threat due to a
inclusion of timeframe of past seven days for time spent with a parent which may
threaten statistical conclusion as previous seven days may not reflect the true nature of
the parent-child dyad. Eating dinner with a parent has been used in previous study as it
related to social connectedness with family and the protective and resilency benefits as it
relates to teen dating violence (Foshee V. A., et al., 2012). Additionally, the construct
related to age at first sexual intercourse may not accurately describe the variable as it
does not allow for determination as to type of encounter. However, prior research
establishes justification for using this construct as a control variable (Davis, et al., 2012;
Hamby et al., 2012).
Ethical Procedures
This dissertation study was conducted in an ethical manner. I submitted an
application to the Walden University IRB for approval to conduct research and I did not
collect any data until Walden University IRB approval is received. The IRB approval
number for this study was 01-11-16-0156590. The 2013 YRBS for South Florida Public
High Schools was the secondary dataset used for this study. Prior to completing the
YRBS, parental consent was obtained by each high school prior to the administration of
the survey. Students who were in attendance on the day of the survey completed the
survey. The YRBS were designed with built in protection for the privacy of the
participants. Participation was voluntary and anonymous whereby participants completed
73
self-administered questionnaires on a computer-scannable booklet which were placed in
an envelope and sealed by the participants prior to submission to the data collector
(Center for Disease Control and Protection, 2014c). During the adminstration of the
survey, particpants’ desk were rearranged to provide privacy during completion (Center
for Disease Control and Protection, 2014c). Personal identificable information ( name,
address, date of birth, etc) was not collected during data collection.
For the purposes of this study, data sets was obtained by me from the Center for
Disease Control and Prevention and subsequently stored on a portable flashdrive
purchased solely for the purpose of this research prior to being exported into IBM SPSS
for statistical analysis.Information on the computer was secured with a password which is
only known by this author. Once the study is completed both the flash drive and
information on the computer was destroyed once no longer needed. The data was not
shared with any other party. Additionally, hard copies of the data was stored in a locked
file cabinet whereby this researcher was the only person who will have access. Hard
copies of data was securely shredded once they are no longer needed . Prior to the
requesting data, permission was obtained from Walden University’s IRB. The IRB
approval number for this study was 01-11-16-0156590. There were no conflicts of
interest related to this research.
Summary
This study was a quantitative research design to analyze archival data collected by
the YRBS in the spring of 2013. The purposes of this study is to explore co-occurrence of
teen dating violence victimization with bully victimization within ethnic/racial context
while controlling for gender, age, substance abuse, and age of first sexual intercourse.
74
Mediating variables (spending time with a parent) was added based on prior research on
protective factors and social learning theory. Descriptive statistics was provided. Multiple
regressions analysis was used to analyze the relationships among teen dating violence
victimization, bully victimization, and race/ethnicity while controlling for gender, age,
substance abuse and age of first sexual intercourse. Mediating variables was added to the
PROCESS model for association.
75
Chapter 4: Results
Introduction
The purpose of this quantitative study was to explore and test the relationship
between experiencing bullying and experiencing teen dating violence victimization. The
data was drawn from the 2013 Youth Risk Behavior Survey [YRBS]. Research questions
were as follows:
Research Question 1: What is the relationship between race, gender, substance
abuse, age, and age of first sexual intercourse and the likelihood of being a victim of (a)
bullying, (b) teen dating violence, and (c) bullying and teen dating violence?
H
0
1a: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying
H
a
1a: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying
H
0
1b: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of teen dating violence
H
a
1b: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of teen dating violence
H
0
1c: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying and teen
dating violence
Ha1c: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying and teen dating
violence
76
Research Question 2: Does spending time with a parent mediate any relationships
between experiencing bully victimization and experiencing teen dating violence when
controlling for race, gender, substance abuse, age, and age of first sexual intercourse?
H
0
2: Spending time with a parent does not mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for race, gender, substance abuse, age, and age of first sexual intercourse.
H
a
2: Spending time with a parent does mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for the influence of race, gender, substance abuse, age, and age of first sexual intercourse.
The remainder of the chapter includes data collection, results and summary.
Data Collection
This study consisted of secondary analysis of archival data collected from a sample of
public high school students in Palm Beach County in Florida during the spring of 2013.
Due to the use of archival data for this study, I did not have contact with the students who
completed the original survey. All measures for this study were unobtrusive; whereby,
the method of data collection did not include my direct contact with events, interactions,
or behavior of the participants under investigation. Twenty-three public high schools
during the spring of 2013 invited students to complete the survey in Palm Beach County
(Center for Disease Control and Protection, 2014b) . There was a 77% response rate
which was calculated as number of participating schools/ number of eligible sampled
schools x number of usable questionaires/number of eligible students sampled rounded to
the nearest integer (Center for Disease Control and Protection, 2014b). There were 1,836
respondents in the sample.
77
Baseline demographic characteristic percentages of the sample were as follows:
Gender demographics of sample is shown in Table 1.
Table 1
Gender demographics of sample
Genders Represented in Sample Female Male
Gender 46.1% 53.9%
Age demographics of the sample is shown in Table 2.
Table 2
Ages Represented in Sample
14 yrs 15 yrs 16 yrs 17 yrs 18 yrs and older
Percent of each
age group
7.21% 25.41% 32.95% 23.38% 11.05%
Race/ethnicity demographics of the sample is shown in Table 3
Table 3
Race/Ethnicity Represented in Sample
Black Non-
Hispanic
Hispanic/Latino White Non-
Hispanic
Other Race
Non-Hispanic
Race/
Ethnicity
24.38% 30.75% 35.87% 9.0%
As a comparative to the percentages shown in the tables, the larger Palm Beach
population reported the following race/ethnicity data according to the United States
Census Bureau (2016).
78
• Black-Non-Hispanic 17.3% (2010) and 18.8% (2014),
• White-Non-Hispanic 60.1% (2010) and 57.3% ( 2014),
• Hispanic/Latino 19.0% (2010) and 20.7% ( 2014)
Baseline demographics of Age at first sexual intercourse within the sample is shown in
Table 4.
Table 4
Age at First Sexual Intercourse in Sample
Never had sex 17 yrs or
older
16 yrs 15 yrs 14 yrs 13 yrs 12 yrs 11 yrs or
younger
56.2% 3.3% 7.8% 10.5% 9.6% 5.4% 3.4% 3.8%
Baseline demographics of respondents who reported dating violence victimization within
the sample is shown in Table 5.
Table 5
Percentage of Respondents Who Reported Dating Violence Victimization in Sample
Times violated Percent Frequency
No date violence 86.7% 1522
1 time 4.2% 73
2 times 3.2% 56
3 times 1.0% 17
4 times 1.2% 22
5 times 0.3% 5
6 times 1.2% 22
7 times 0.2% 4
8 times 0.7% 13
9 times 0.0% 0
10 times 0.3% 5
11 times 0.0% 0
12 times or more 1.0% 17
Baseline demographics of respondents who reported being a victim of bullying within the
sample is shown in Table 6.
79
Table 6
Percentage of Respondents Who Reported Being a Victim of Bullying
Results
Research Question 1: What is the relationship between race, gender, substance
abuse, age, and age of first sexual intercourse and the likelihood of being a victim of (a)
bullying, (b) teen dating violence, and (c) bullying and teen dating violence?
Hypotheses H1a.
H
0
1a: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying
Ha1a: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying
One way ANOVA was conducted to see the relationship between each control
variables separately and the dependent variable bully victimization.
Descriptive for bully victimization by age is shown in the Table 7.
Table 7
Descriptive for Bully Victimization by Age
N Percent Mean Minimum Maximum
Age 14 131 7.2% .63 0 4
Age 15 461 25.4% .73 0 4
Age 16 598 33.0% .66 0 4
Age 17 425 23.4% .62 0 4
Age 18 200 11.0% .45 0 4
Note: Total of 1,815 students were between ages 14 and 18, inclusively, who reported
% of times bullied Percent Frequency
Lowest No incident= 0 63.1% 1157
Low = 1 18.4% 337
Medium-Low = 2 10.6% 194
Medium-High = 3 5.8% 106
High = 4 2.1% 39
80
Crosstabs for bully victimization by age is shown in the Table 8.
Table 8
Crosstabs for Bully Victimization by Age
3 = 14 yrs
old
4 = 15 yrs
old
5 = 16 yrs
old
6 = 17
yrs old
7 = 18 yrs
old Total
BullyScore
Aggregate-24,25,88,89
0 = Lowest No Incident
Reported
84
4.6%
265
14.6%
381
21.0%
275
15.2%
149
8.2%
1154
63.6%
1 = Low Bully Score 23
1.3%
100
5.5%
102
5.6%
79
4.4%
26
1.4%
330
18.2%
2 = Medium-Low Bully
Score
16
0.9%
59
3.3%
68
3.7%
34
1.9%
15
0.8%
192
10.6%
3 = Medium-High Bully
Score
5
0.3%
30
1.7%
32
1.8%
30
1.7%
6
0.3%
103
5.7%
4 = High Bully Score 3
0.1%
7
0.4%
15
0.8%
7
0.4%
4
0.2%
36
1.9%
Total 131
7.2%
461
25.4%
598
33.0%
425
23.4%
200
11.0%
1815
100%
There were less than 15 participants in the age group of 13 and younger.
Therefore, I focused on participants greater than 13 for the analysis. The youngest and
oldest groups experienced the lowest levels of bullying. The Levene test for equality of
variances was found to be violated for the present analysis, F(4, 1810) = 3.366, p = .009.
Due to this violated assumption, Games-Howell, a post hoc test that does not assume
homogeneity of variance, was run.
Bully victimization based on ages greater than 13 Games Howell Post hoc results are
shown in Table 9.
81
Table 9
Games Howell Post hoc Test for Bully Victimization based on Ages greater than 13
Age of respondent Comparison age groups Mean difference Significance
Age 14 15 -.103 .836
16 -.033 .997
17 .002 1.000
18 .176 .480
Age 15 14 .103 .836
16 .070 .805
17 .105 .531
18 * .279 * .005 *
Age 16 14 .033 .997
15 -.070 .805
17 .035 .982
18 .209 .053
Age 17 14 -.002 1.000
15 -.105 .531
16 -.035 .982
18 .174 .200
Table 9 shows only two groups that differed significantly, p = .005, which are students
ages 15 and age 18. Because the mean difference between them was positive, we know
that 15 year olds had a larger mean value bully victimization score than the 18 year olds
did . With respect to the control variable, age, the null hypothesis is rejected and this test
indicates a statistical significance that there is a relationship between age and bully
victimization.
Descriptive for bully victimization by gender is shown in the Table 10.
Table 10
Descriptive for Bully Victimization based on Gender
Gender N Percent Mean Minimum Maximum
Female 935 51.4% .74 0 4
Male 884 48.6% .56 0 4
Note: A total of 1,819 students, of either gender, reported
Crosstabs for bully victimization by gender is shown in the Table 11.
82
Table 11
Crosstabs for Bully Victimization by Gender
1 = Female 2 = Male Total
BullyScoreAggregate-24,25,88,89 0 = Lowest No Incident Reported 567
31.2%
583
32.1%
1150
63.3%
1= Low Bully Score 166
9.1%
168
9.2%
334
18.3%
2 = Medium-Low Bully Score 105
5.8%
88
4.8%
193
10.6%
3 = Medium-High Bully Score 71
3.9%
32
1.8%
103
5.7%
4 = High Bully Score 26
1.4%
13
0.7%
39
2.1%
Total 935
51.4%
884
48.6%
1819
100%
The second control variable, gender, when analyzed for the effects on bully
victimization using a one way ANOVA . The Levene test for equality of variances was
found to be violated, F 1, 1817) = 35.176, p = .000. Due to this violated assumption, a
chi-square test was conducted. All cells had counts larger than 5 making this chi-square
test credible. The results were
4= 19.418, p =.001 which shows significance for
gender and bully victimization with females having a greater mean value of .74 as
compared to the mean bully score of males of .56 ( see Table 10).
Descriptive for bully victimization by race is shown in the Table 12
Table 12
Descriptive for Bully Victimization based on Race
Race N Percent Mean Minimum Maximum
0 – Other 409 22.3% .69 0 4
(table continued)
83
Race N Percent Mean Minimum Maximum
1 – White 942 51.4% .71 0 4
2 – Black 482 26.3% .52 0 4
Note: A total of 1,833 students, choosing a race of black, white or other
Crosstabs for bully victimization by race is shown in the Table 13.
Table 13
Crosstabs for Bully Victimization based on Race
0 - Other
1 - White
2 - Black
Total
BullyScoreAggregate-24,25,88,89
0 = Lowest No Incident Reported
254
13.8%
577
31.5%
326
17.8%
1157
63.1%
1 = Low Bully Score 76
4.1%
175
9.6%
86
4.7%
337
18.4%
2 = Medium-Low Bully Score 45
2.5%
99
5.4%
50
2.7%
194
10.6%
3 = Medium-High Bully Score 20
1.1%
72
3.9%
14
0.8%
106
5.8%
4 = High Bully Score 14
0.8%
19
1.0%
6
0.3%
39
2.1%
Total 409
22.3%
942
51.4%
482
26.3%
1833
100%
Descriptive for bully victimization by ethnicity is shown in Table 14
Table 14
Descriptive for Bully Victimization based on Ethnicity
Ethnicity N Percent Mean Minimum Maximum
0 – Not Hispanic 1246 69.3% .67 0 4
1 – Hispanic 553 30.7% .60 0 4
Note: A total of 1,799 students, of choosing Hispanic or Not Hispanic
Crosstabs for bully victimization by ethnicity is shown in Table 15.
84
Table 15
Crosstabs for Bully Victimization based on Ethnicity
0 - Not Hispanic 1 -Hispanic Total
BullyScoreAggregate-24,25,88,89 0 = Lowest No Incident Reported 777
43.2%
364
20.2%
1141
63.4%
1 = Low Bully Score 228
12.7%
98
5.4%
326
18.1%
2 = Medium-Low Bully Score 139
7.7%
51
2.8%
190
10.6%
3 = Medium-High Bully Score 77
4.3%
27
1.5%
104
5.8%
4 = High Bully Score 25
1.4%
13
0.7%
38
2.1%
Total 1246
69.3%
553
30.7%
1799
100%
The YRBS survey separated race from ethnicity therefore for the purposes of this
study, race included participations that self-identified as Black, White with all others
(American Indian, Alaska Native, Asian, Native Hawaiian or Other Pacific Islander)
placed in the other category . Ethnicity included Hispanic or not and was analyzed
separately from race. The third control variable, race, when analyzed for the effects on
bully victimization violated the Levene test for equality of variances, F(2,1830) = 12.054,
p = .000. As a result of the assumption being violated, a Post Hoc test which did not rely
on homogeneity of variance was run (see Table 16).
Bully victimization based on race Games Howell Post Hoc results are in Table 16
85
Table 16
Games Howell Post Hoc test for Bully Victimization based on Race
Race Comparison of races Mean Mean difference Significance
0 - Other 1 – White .71 -.016 .963
2 – Black .52 .167 * .033 *
1 – White 0 – Other .69 .016 .963
2 – Black .52 .183 * .002 *
2 – Black 0 – Other .69 -.167 * .033 *
1 – White .71 -.183 .002 *
The Games-Howell Post Hoc was conducted to compare all the different race
groups on the bully victimization score. Between Blacks and other, there was a small
significance p = .033 shown for this test, whereas, between white and Blacks p = .002
showing stronger significance, and finally between white and other, p = .963 showing no
statistical significance. Whites had a higher mean value for bully victimization score;
whereas, Blacks had the lowest mean score of the three categories tested. Therefore this
test indicates statistical significance for whites being more likely to be a victim of
bullying within this sample.
An analysis was conducted using ethnicity (Hispanic or not). The Levene statistic
was given as F (1, 1797) = 2.167, p = .141. Thus, the homogeneity of variance holds for
this variable indicating a reliable result for the ANOVA. The ANOVA result was F (1,
1797) = 1.785, p = .182. So, for this sample, ethnicity (Hispanic or not) did not indicate
statistical significance with respect to a relationship with bully victimization.
Descriptive for bully victimization based on age of first sexual intercourse results are in
Table 17.
86
Table 17
Descriptive for Bully Victimization based on Age of First Sexual Intercourse
Age of 1
st
sexual intercourse N Percent Mean Minimum Maximum
Never had sex 898 56.2% .60 0 4
Age 17 and older 52 3.3% .37 0 4
Age 16 125 7.8% .67 0 4
Age 15 168 10.5% .73 0 4
Age 14 153 9.6% .72 0 4
Age 13 85 5.3% .71 0 4
Age 12 56 3.5% .57 0 3
Age 11 or younger 60 3.8% 1.00 0 4
Note: A total of 1,597 students, reported a bullying score within varying ages of first sexual intercourse
Crosstabs for bully victimization based on age of first sexual intercourse is shown in
Table 18.
Table 18
Crosstabs for Bully Victimization based on Age of First Sexual Intercourse
Never
had sex
17 Yrs
and
older
3 = 16
yrs old
4 = 15
yrs old
5 = 14
yrs old
6 = 13
yrs old
7 = 12
yrs old
8 = 11 yrs
or
younger Total
BullyScore
Aggregate - 24,25,88,89
0=Lowest No
Incident
Reported
583
36.5%
40
2.5%
81
5.1%
98
6.1%
96
6.0%
52
3.3%
37
2.3%
29
1.8%
1016
63.6%
1=Low Bully
Score
164
10.3%
8
0.5%
21
1.3%
33
2.1%
23
1.4%
18
1.1%
10
0.6%
14
0.9%
291
18.2%
2 = Medium-
Low Bully
Score
94
5.9%
1
0.1%
11
0.7%
23
1.4%
20
1.3%
6
0.4%
5
0.3%
7
0.4%
167
10.5%
3 = Medium-
High Bully
Score
43
2.7%
3
0.2%
7
0.4%
12
0.8%
9
0.6%
6
0.4%
4
0.3%
8
0.5%
92
5.8%
4 = High Bully
Score
14
0.9%
0
0.0%
5
0.3%
2
0.1%
5
0.3%
3
0.2%
0
0.0%
2
0.1%
31
1.9%
Total 898
56.2%
52
3.3%
125
7.8%
168
10.5%
153
9.6%
85
5.3%
56
3.5%
60
3.8%
1597
100%
87
This variable, age of first sexual intercourse, gives respondents’ age of their first
sexual intercourse. The Levene test for equality of variances was found to be violated for
the present analysis; F (7, 1589) = 3.330, p = .002. As a result of this violated
assumption, Games-Howell, a post-hoc test that does not assume homogeneity of
variance, was run (see Table 19).
Bully victimization based on age of first sexual intercourse Games Howell Post Hoc
results are in Table 19.
Table 19
Games Howell Post Hoc test for Bully Victimization based on Age of First Sexual
Intercourse
Age of 1
st
sexual intercourse Compariative age group Mean difference Significance
Never had sex 17 and older .233 .471
16 -.074 .997
15 -.134 .766
14 -.121 .907
13 -.340 .421
12 -.206 .918
11 years or younger -.402 .203
17 and older Never had sex -.233 .471
16 -.307 .437
15 -.367 .131
14 -.354 .206
13 -.340 .421
12 -.206 .918
11 years or younger -.635 * .026 *
16 years old Neveer had sex .074 .997
17 and older .307 .437
15 -.060 1.000
14 -.047 1.000
13 -.034 1.000
12 .101 .998
11 years or younger -.328 .637
15 years old Never had sex .134 .766
17 and older .367 .131
16 .060 1.000
14 .013 1.000
13 .026 1.000
12 .161 .958
11 years or younger -.268 .788
14 years old Never had sex .121 .907
(table continued)
88
Age of 1
st
sexual intercourse Compariative age group Mean difference Significance
17 and older .354 .206
16 .047 1.000
15 -.013 1.000
13 .013 1.000
12 .148 .979
11 years or younger -.281 .770
13 years old Never had sex .108 .988
17 and older .340 .421
16 .034 1.000
15 -.026 1.000
14 -.013 1.000
12 .134 .994
11 years or younger -.294 .807
12 years old Never had sex -.027 1.000
17 and older .206 .918
16 -.101 .998
15 -.161 .958
14 -.148 .979
13 -.134 .994
11 years or younger -.429 .391
Table 19 shows that those who had sex at age 11 or younger and those who had sex at
age 17 years or older had a statistically significance difference in their mean scores for
bullying. As a result of the mean difference between them being negative, we know that
those who had sex at age 11 or younger had a larger mean value bully victimization score
than the ones who had sex at 17 years or older . With respect to the control variable, age
of first sexual intercourse, the null hypothesis is rejected and this test indicates a
statistical significance that there is a relationship between age at first intercourse and
bully victimization.
Descriptive for bully victimization based on substance use is shown in Table 20
Table 20
Descriptive for Bully Victimization based on Substance Use
Frequency of
substance use*
N Percents Mean Minimum Maximum
0 – 5 9 0.5% .00 0 0
6 -13 766 41.9% .49 0 4
14 - 22 655 35.9% .69 0 4
23 - 30 251 13.7% .86 0 4
31 - 39 107 5.9% .93 0 4
40 -50 22 1.2% 1.18 0 4
51 – 60 11 0.6% 1.82 0 4
(table continued)
89
Frequency of
substance use*
N Percents Mean Minimum Maximum
61 - 79 6 0.3% 1.83 0 4
*aggregate # of times used various forms of substances (drugs and/or alcohol)
Note: 1827 students reported a bullied score within varying levels of substance use
Crosstabs for bully victimization based on substance use is shown in Table 21.
Table 21
Crosstabs for Bully Victimization based on Substance Use
Substance Use Groups
Total
0 = 0-5
Negligib
le Use 1 = 6-13
2 = 14-
22
3 = 23-
30
4 =
31-39
5 =
40-50
6 =
51-60
7 =
61-79
BullyScore
Aggregate - 24,25,88,89
0=Lowest No
Incident
Reported
9
0.5%
540
29.6%
399
21.8%
132
7.2%
56
3.1%
11
0.6%
3
0.2%
2
0.1%
1152
63.1%
1=Low Bully
Score
0
0.0%
120
6.6%
126
6.9%
60
3.3%
23
1.2%
3
0.2%
3
0.2%
1
0.0%
336
18.4%
2 = Medium-
Low Bully
Score
0
0.0%
72
3.9%
77
4.2%
30
1.7%
13
0.7%
2
0.1%
0
0.0%
0
0.0%
194
10.6%
3 = Medium-
High Bully
Score
0
0.0%
6
.4%
1
.3%
0
.0%
.5%
.3%
.2%
.1%
06
.8%
4 = High
Bully Score
0
0.0%
8
0.4%
12
0.7%
9
0.5%
6
0.3%
1
0.0%
2
0.1%
1
0.1%
39
2.1%
Total 9
0.5%
766
41.9%
655
35.9%
251
13.7%
107
5.9%
22
1.2%
11
0.6%
6
0.3%
1827
100%
Substance use is a variable that groups frequency of substance use ( drugs and/or
alcohol) during the life of the respondent. Though the frequency is low on both ends of
the scale (negligible use to high frequency usage), the mean bully victimization scores are
90
quite remarkable whereby, the greater the reported number of times respondents used
substances (drugs and/or alcohol), the higher the mean bully victimization score.
The Levene test for equality of variances was found to be violated for the present
analysis; F (7, 1819) = 14.043, p = .000 when running an ANOVA. As a result of this
violated assumption, Games-Howell, a post-hoc test that does not assume homogeneity of
variance, was run (see Table 22).
Bully victimization based on substance use Games Howell Post Hoc results are in Table
22.
Table 22
Games Howell Post Hoc test for bully victimization based on substance use
Frequency of substance use Comparative frequency group Mean difference Significance
0 = negligible use 1 = 6 - 13 times - .488 * .000 *
2 = 14 – 22 times - .689 * .000 *
3 = 23 – 30 times - .861 * .071 *
4 = 31 – 39 times - .935 * .000 *
5 = 40 – 50 times -1.182 * .014 *
6 = 51 - 60 times -1.818 * .049 *
7 = 61 – 79 times -1.833 .323
1 = 6 - 13 times 0 = negligible use .488 * .000 *
2 = 14 – 22 times - .200 * .002 *
3 = 23 – 30 times - .372 * .000 *
4 = 31 – 39 times - .446 * .009 *
5 = 40 – 50 times - .694 .334
6 = 51 - 60 times -1.330 .211
7 = 61 – 79 times -1.345 .593
2 = 14 – 22 times 0 = negligible use .689 * .000*
1 = 6 - 13 times .200 * .002 *
3 = 23 – 30 times -.172 .412
4 = 31 – 39 times -.246 .505
5 = 40 – 50 times -.493 .725
6 = 51 - 60 times -1.130 .361
7 = 61 – 79 times -1.145 .728
3 = 23 – 30 times 0 = negligible use .861 * .000 *
1 = 6 - 13 times .372 * .000 *
2 = 14 – 22 times .172 .412
4 = 31 – 39 times -.074 .999
5 = 40 – 50 times -.321 .962
6 = 51 - 60 times -.958 .543
7 = 61 – 79 times -.973 .838
4 = 31 – 39 times 0 = negligible use .935 * .000 *
1 = 6 - 13 times .446 * .009 *
2 = 14 – 22 times .246 .505
3 = 23 – 30 times .074 .138
5 = 40 – 50 times -.247 .993
(table continued)
91
Frequency of substance use Comparative frequency group Mean difference Significance
6 = 51 - 60 times -.884 .645
7 = 61 – 79 times -.899 .883
5 = 40 – 50 times 0 = negligible use 1.182 * .014 *
1 = 6 - 13 times .694 .334
2 = 14 – 22 times .493 .725
3 = 23 – 30 times .321 .962
4 = 31 – 39 times .247 .993
6 = 51 - 60 times -.636 .944
7 = 61 – 79 times -.015 1.000
6 = 51 - 60 times 0 = negligible use 1.818 * .049 *
1 = 6 - 13 times 1.330 .211
2 = 14 – 22 times 1.130 .361
3 = 23 – 30 times .958 .543
4 = 31 – 39 times .884 .645
5 = 40 – 50 times .636 .944
7 = 61 – 79 times -.015 1.000
Table 22 shows that there is statistically significant difference in the mean bully
victimization scores with respect to negligible use and all higher frequencies of use –
except for the highest usage, which has very few respondents (6) who reported such a
high frequency of substance use . Statistical significance for group 7 (61-79 frequency of
substance use) cannot be validated with this test, yet the raw mean scores are indicative
of it. In general, the pattern persists that the lower frequency of substance uses, the lower
the bully victimization score; this is shown throughout Table 22 with asterisks marking
each statistically significant difference. Thus, with respect to substance use, there is
statistical significance showing that there is a relationship between substance use and
reported bully victimization.
Regression analysis H1a
There was a slight positive correlation between substance use and age at first
sexual intercourse whereby the correlation of R= -.303 (indicating that the younger one
has sex, the more substance use is noted in the data) which can affect the way the
regression is run. Also, there is a correlation of R = -.364 between Race and Hispanics
which is also a possible warning for this study in that many of the Hispanics indicated a
92
Race of White or other. These correlations may affect the statistical outcome of the
regression. Additionally, the model summary showed R² = .057. This indicates that 5.7%
of the variance in the bully victimization score can be accounted for by this model with
the given covariates.
Regression analysis for H1a dependent variable bully victimization score is shown in
Table 23.
Table 23
Regression H1a – Dependent Variable is Bully Victimization Score
Variables B coefficient Beta t-test Significance VIF test for
collinarity
constant 1.087 7.307 .000
Hispanic -.132 .058 -2.280 .023 1.180
Race -.102 -.068 -2.554 .011 1.185
Substance Use .181 .180 6.900 .000 1.126
Age -.065 -.071 -2.853 .004 1.015
Age at 1
st
sex .016 .034 1.264 .206 1.163
Gender -.244 -.122 -4.888 .000 1.027
The regression is not showing statistical significance for age of first sexual
intercourse as seen in the one way ANOVA. As noted, this result is probably due to a
slight positive correlation to substance use. Also note that for ethnicity (Hispanic or not),
in this regression it shows statistical significance, yet not in the one way ANOVA. In the
future, a clearer delineation of race and ethnicity will help to reduce the overlap of data,
and thus differing outcomes of statistical significance for ethnicity.
The analysis indicates that the strongest relationship was found between substance
use and bully victimization such that the more often respondents reported using
substances, the more bullying victimization they also reported. Gender was also found to
93
be a particularly strong indicator of bully victimization such that girls were more likely to
report bully victimization than boys. In conclusion, for Hypothesis H1a, there is
statistical evidence showing a relationship between gender, substance use, age, race and
age at first sexual intercourse and the likelihood of being a victim of bullying. The null is
rejected because there are control variables that showed statistical significance indicating
a relationship with bully victimization . Being female in this sample resulted in a higher
bully victimization score which indicates a positive relationship. The greater the
substance use score the higher the bully victimization score which indicates a positive
relationship. There was a negative relationship between age and bully victimization for
ages 15 and 18 with participants who were 15 having a higher bully victimization score
than participants who were 18. There was a negative relationship between age of first
sexual intercourse whereby, those who had sexual intercourse at 11 years or younger had
a higher bully victimization score than those age 17 and older.
Hypothesis H1b.
H
0
1b: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of teen dating violence.
H
a
1b: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of teen dating violence.
Descriptive for teen dating violence victimization based on age in shown in Table 24.
94
Table 24
Descriptive for Teen dating violence Victimization based on Age
Age N Percent Mean Minimum Maximum
Age 14 128 7.4% .33 0 6
Age 15 447 25.7% .46 0 12
Age 16 577 33.1% .47 0 12
Age 17 403 23.1% .50 0 12
Age 18 186 10.7% .58 0 12
Note: 1741 students reported teen dating violence within age group 14-18
Crosstabs for teen dating violence victimization based on age is shown in Table 25.
Table 25
Crosstabs for Teen dating violence Victimization based on Age
Q1AdjGreaterThan13
Total
3 = 14
yrs old
4 = 15 yrs
old
5 = 16 yrs
old
6 = 17 yrs
old
7 = 18 yrs
old
ViolenceScoreAggregate
Q22 and Q23
0 - did not date or had no date
violence
115
6.6%
393
22.6%
501
28.8%
352
20.2%
153
8.8%
1514
87.0%
1 - hurt or forced to have sex
once
4
0.2%
16
0.9%
22
1.2%
17
1.0%
12
0.7%
71
4.0%
2 – 2 or 3 times hurt and/or
forced to have sex
2
0.1%
10
0.6%
19
1.1%
13
0.7%
11
0.6%
55
3.1%
3 – 3 or 4 times hurt and/or
forced to have sex
0
0.0%
4
0.2%
10
0.6%
2
0.1%
1
0.1%
17
1.0%
4 – 4 or 5 times hurt and/or
forced to have sex
4
0.3%
5
0.3%
5
0.3%
5
0.3%
3
0.1%
22
1.3%
5 – 5 or 6 times hurt and/or
forced to have sex
0
0.0%
2
0.1%
3
0.2%
0
0.0%
0
0.0%
5
0.3%
6 – 6 or more times hurt and/or
forced to have sex
3
0.2%
7
0.4%
6
0.3%
3
0.2%
1
0.0%
20
1.1%
7 – 7 or more times hurt and/or
forced to have sex
0
0.0%
1
0.1%
2
0.1%
1
0.1%
0
0.0%
4
0.3%
8 – 8 or more times hurt and/or
forced to have sex
0
0.0%
6
0.3%
2
0.1%
2
0.1%
2
0.1%
12
0.7%
10 – 10 or more times hurt
and/or forced to have sex
0
0.0%
2
0.1%
1
0.1%
2
0.1%
0
0.0%
5
0.3%
(table continued)
95
3 = 14
yrs old
4 = 15 yrs
old
5 = 16 yrs
old
6 = 17 yrs
old
7 = 18 yrs
old
Total
12 – 12 or more times hurt
and/or forced to have sex
0
0.0%
1
0.1%
6
0.3%
6
0.3%
3
0.2%
16
0.9%
Total 128
7.4%
447
25.7%
577
33.1%
403
23.1%
186
10.7%
1741
100%
The Levene test for equality of variances was found to be satisfied for the present
analysis, F (4, 1736) = 1.245, p = .290, which indicates that the variances are equal.
Therefore, the ANOVA should have reliable results given that the assumption of
homogeneity of variances is satisfied. Accordingly, the one way ANOVA for age as the
control variable and teen dating violence as the dependent variable, resulted in F(4,1736)
= .430, p = .787. Therefore, for this test there is not statistical evidence that shows a
relationship between age and teen dating violence.
Descriptive for dating violence victimization based on gender is shown in Table 26.
Table 26
Descriptive for Teen dating violence Victimization based on Gender
Gender N Percent Mean Minimum Maximum
Female 898 51.5% .53 0 12
Male 844 48.5% .45 0 12
Note: 1742 students reported teen dating violence victimization within two gender categories
Crosstabs for dating violence victimization based on gender is shown in Table 27.
Table 27
Crosstabs for Teen dating violence Victimization based on Gender
1 = Female 2 = Male Total
ViolenceScore
Aggregate Q22 and Q23
0 - did not date or had no date
violence
760
43.6%
752
43.2%
1512
86.8%
1 - hurt or forced to have sex once 43
2.5%
29
1.6%
72
4.1%
(table continued)
96
1 = Female 2 = Male Total
2 – 2 or 3 times hurt and/or forced
to have sex
40
2.3%
16
0.9%
56
3.2%
3 – 3 or 4 times hurt and/or forced
to have sex
8
0.5%
8
0.4%
16
0.9%
4 – 4 to 5 times hurt and/or forced
to have sex
13
0.7%
8
0.5%
21
1.2%
5 – 5 to 6 times hurt and/or forced
to have sex
2
0.1%
3
0.2%
5
0.3%
6 – 6 or more times hurt and/or
forced to have sex
13
0.7%
8
0.5%
21
1.2%
7 – 7 or more times hurt and/or
forced to have sex
3
0.2%
1
0.1%
4
0.3%
8 – 8 or more times hurt and/or
forced to have sex
6
0.3%
7
0.4%
13
0.7%
10 – 10 or more times hurt and/or
forced to have sex
2
0.1%
3
0.2%
5
0.3%
12 – 12 or more times hurt and/or
forced to have sex
8
0.5%
9
0.5%
17
1.0%
Total
898
51.5%
844
48.5%
1742
100%
The second control variable, gender, when analyzed for the effects on teen dating
violence victimization using a one way ANOVA . The Levene test for equality of
variances was found to be satisfied, F(1, 1740) = 1.391, p = .238. Therefore, the ANOVA
should have reliable results given that the assumption of homogeneity of variances is
satisfied. Accordingly, the one way ANOVA for gender as the control variable, and teen
dating violence as the dependent variable, resulted in F(1,1740) = .799, p = .371.
Therefore, for this test there is not statistical evidence that shows a relationship between
gender and teen dating violence. However, females had a higher frequency of dating
violence victimatization.
97
Descriptive for teen dating violence victimization based on race is shown in Table
28.
Table 28
Descriptive for Teen dating violence Victimization based on Race
Race N Percent Mean Minimum Maximum
0 – Other 397 22.6% .73 0 12
1 – White 909 51.8% .39 0 12
2 – Black 450 25.6% .49 0 12
Crosstabs for teen dating violence victimization based on race is shown in Table
29.
Table 29
Crosstabs for Teen dating violence Victimization based on Race
0 -
Other
1 -
White
2 -
Black Total
ViolenceScoreAggregat
e
Q22 and Q23
0 - did not date or had no date violence Count 335
806
381
1522
% of Total 19.1%
45.9%
21.7%
86.7%
1 - hurt or forced to have sex Count 17
34
22
73
% of Total 1.0%
1.9%
1.3%
4.2%
2 - 2 or 3 times hurt and/or forced to have sex Count 6
29
21
56
% of Total 0.3%
1.7%
1.2%
3.2%
3 – 3 or 4 times hurt and/or forced to have sex Count 6
5
6
17
% of Total 0.3%
0.3%
0.3%
1.0%
4 – 4 or 5 times hurt or forced to have sex Count 7
8
7
22
% of Total 0.4%
0.5%
0.4%
1.3%
5 - 5 to 6 times hurt and/or forced to have sex Count 3
2
0
5
% of Total 0.2%
0.1%
0.0%
0.3%
6 – 6 or more times hurt and/or forced to have
sex
Count 8
9
5
22
% of Total 0.5%
0.5%
0.3%
1.3%
(table continued)
98
0 -
Other
1 -
White
2 -
Black Total
7 – 7 or more times hurt and/or forced to have
sex
Count 0
3
1
4
% of Total 0.0%
0.2%
0.1%
0.2%
8 - 8 or more times hurt and/or forced to have
sex
Count 6
5
2
13
% of Total 0.3%
0.3%
0.1%
0.7%
10 – 10 or more times hurt and/ or forced to
have sex
Count 2
1
2
5
% of Total 0.1%
0.1%
0.1%
0.3%
12 – 12 or more times hurt and/or forced to
have sex
Count 7
7
3
17
% of Total 0.4%
0.4%
0.2%
1.0%
Total Count 397
909
450
1756
% of Total 22.6%
51.8%
25.6%
100.0%
Descriptive for teen dating violence victimization based on ethnicity is shown in Table
30.
Table 30
Descriptive for Teen dating violence Victimization based on Ethnicity
Ethnicity N Percent Mean Minimum Maximum
0 – Not Hispanic 1188 68.9% .50 0 12
1 – Hispanic 536 31.1% .45 0 12
Crosstabs for teen dating violence victimization based on ethnicity is shown in Table 31.
Table 31
Crosstabs for Teen dating violence Victimization based on Ethnicity
0 - Not
Hispanic
1 -
Hispanic Total
ViolenceScoreAggregate
Q22 and Q23
0 - did not date or had no date violence Count 1028
472
1500
% of Total 59.6%
27.4%
87.0%
1 - hurt or forced to have sex once Count 50
21
71
% of Total
2.9%
1.2%
4.1%
(table continued)
99
0 - Not
Hispanic
1 -
Hispanic Total
2 - 2 or 3 times hurt and/or forced to have sex Count 42
11
53
% of Total 2.4%
0.6%
3.1%
3 - 3 or 4 times hurt and/ or forced to have sex Count 8
9
17
% of Total 0.5%
0.5%
1.0%
4 – 4 or 5 times hurt and/or forced to have sex Count 15
6
21
% of Total 0.9%
0.3%
1.2%
5 - 5 or 6 times hurt and/or forced to have sex Count 3
1
4
% of Total 0.2%
0.1%
0.2%
6 - 6 or more times hurt and/or forced to have sex
Count
% of Total
15
5
20
0.9%
0.3%
1.2%
7 – 7 or more times hurt and/or forced to have sex
Count
% of Total
4
0.2%
0
0.0%
4
0.2%
8 – 8 or more times hurt and/or forced to have sex
Count
% of Total
9
0.5%
3
0.2%
12
0.7%
10 – 10 or more times hurt and/or forced to have
sex Count
% of Total
0
0.0%
5
0.3%
5
0.3%
12 -12 or more times hurt or forced to have sex Count
% of Total
14
0.8%
3
0.2%
17
1.0%
Total Count
% of Total
1188
68.9%
536
31.1%
1724
100.0%
The third control variable, race, when analyzed for the effects on teen dating
violence victimization the Levene test for equality of variances was found to be violated,
F(2,1753) = 17.912, p = .000. Because the assumption was violated, a Post Hoc test not
relying on homogeneity of variance was run.
Teen dating violence victimization based on race Games Howell Post Hoc results are
shown in Table 32.
100
Table 32
Games Howell Post Hoc test for Teen dating violence Victimization based on Race
Race Comparaitive races Mean difference Significance
0 – Other 1 – White .377 * .004*
2 – Black .244 .122
1 – White 0 – Other -.377 * .004 *
2 – Black -.093 .565
2 – Black 0 – Other -.244 .122
1 – White .093 .565
Note: Comparing the mean value of one group to another group
Again, the Games-Howell Post Hoc was conducted to compare all the different
race groups compared to the teen dating violence victimization score (see Table 32).
Between white and other, there was statistical significance with p = .004 shown for this
test. Whites had the lower mean value for teen violence victimization score; whereas,
other had the highest mean score of the three categories tested. Therefore this test
indicates statistical significance for race, and in particular whether a subject was white or
other, and being a victim of teen dating violence within this sample.
An analysis was conducted using ethnicity (Hispanic or not). The Levene statistic
was given as F (1, 1722) = .935, p = .334. Thus, the homogeneity of variance holds for
this variable indicating a reliable result for the ANOVA. The ANOVA result was F (1,
1722) = .332, p = .565. So, for this sample, ethnicity (Hispanic or not) did not indicate
statistical significance with respect to a relationship with teen dating violence
victimization.
Descriptive for teen dating violence victimization based on age of first sexual
intercourse is shown in Table 33.
101
Table 33
Descriptive for Teen dating violence Victimization based on Age of First Sexual
Intercourse
Age of 1
st
sexual intercourse N Percent Mean Minimum Maximum
Never had sex 866 56.3% .19 0 12
Age 17 and older 49 3.2% .53 0 12
Age 16 119 7.7% .69 0 12
Age 15 165 10.7% .44 0 7
Age 14 150 9.8% .67 0 10
Age 13 82 5.3% .72 0 8
Age 12 51 3.3% .37 0 12
Age 11 or younger 57 3.7% 2.16 0 12
Crosstabs for teen dating violence victimization based on age of first sexual intercourse
are shown in Table 34.
Table 34
Crosstabs for Teen dating violence Victimization based on Age of First Sexual
Intercourse
Never
had
sex
17 Yrs
and
older
3 = 16
yrs old
4 = 15
yrs old
5 = 14
yrs old
6 = 13
yrs old
7 = 12
yrs old
8 = 11 yrs
or
younger Total
ViolenceScore
Aggregate Q22
and Q23
0 - did not
date or had no
date violence
Count 813
42
100
136
119
64
45
39
1358
% of
Total
52.8%
2.7%
6.5%
8.8%
7.7%
4.2%
2.9%
2.5%
88.2%
1 - hurt or
forced to have
sex once
Count 19
2
4
12
11
4
4
2
58
% of
Total
1.2%
0.1%
0.3%
0.8%
0.7%
0.3%
0.3%
0.1%
3.8%
2 – 2 or 3
times hurt
and/or forced
to have sex
Count 16
3
5
8
7
7
0
2
48
% of
Total 1.0%
0.2%
0.3%
0.5%
0.5%
0.5%
0.0%
0.1%
3.1%
3 - 3 or 4
times hurt
and/ or forced
to have sex
Count 2
0
2
2
1
1
0
2
10
% of
Total
0.1%
0%
0.1%
0.1%
0.1%
0.1%
0.0%
.
0.1%
0.6%
(table continued)
102
Never
had
sex
17 Yrs
and
older
3 = 16
yrs old
4 = 15
yrs old
5 = 14
yrs old
6 = 13
yrs old
7 = 12
yrs old
8 = 11 yrs
or
younger Total
4 – 4 or 5
times hurt
and/or forced
to have sex
Count 4
0
3
3
3
1
0
2
16
% of
Total 0.3%
0.0%
0.2%
0.2%
0.2%
0.1%
0.0%
0.1%
1.0%
5 – 5 or 6
times hurt
and/or forced
to have sex
Count 0
0
0
0
2
0
1
0
3
% of
Total 0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.1%
0.0%
0.2%
6 – 6 or more
times hurt
and/or forced
to have sex
Count 6
1
1
2
3
3
0
1
17
% of
Total 0.4%
0.1%
0.1%
0.1%
0.2%
0.2%
0.0%
0.1%
1.1%
7 – 7 or more
times hurt
and/or forced
to have sex
Count 0
0
0
2
1
0
0
1
4
% of
Total 0.0%
0.0%
0.0%
0.1%
0.1%
0.0%
0.0%
0.1%
0.3%
8 – 8 or more
times hurt
and/or forced
to have sex
Count 3
0
1
1
% of
Total 0.2%
0.0%
0.1%
0.0%
0.1%
0.1%
0.0%
0.1%
0.6%
10 – 10 or
more times
hurt and/or
forced to have
sex
Count 1
0
0
0
1
0
1
1
4
% of
Total 0.1%
0.0%
0.0%
0.0%
0.1%
0.0%
0.1%
0.1%
0.3%
12 – 12 or
more times
hurt and/or
forced to have
sex
Count 2
1
3
0
0
0
0
6
12
% of
Total 0.1%
0.1%
0.2%
0.0%
0.0%
0.0%
0.0%
0.4%
0.8%
Total Count 866
49
119
165
150
82
51
57
1539
% of
Total
56.3%
3.2%
7.7%
10.7%
9.7%
5.3%
3.3%
3.7%
100.0%
103
This variable, age of first sexual intercourse, gives respondents’ age of their first
sexual intercourse. The Levene test for equality of variances was found to be violated for
the present analysis; F (7, 1531) = 42.520, p = .000. Because of this violated assumption,
Games-Howell, a post-hoc test that does not assume homogeneity of variance, was run
(see Table 35).
Teen dating violence victimization based on age of first sexual intercourse Games-
Howell Post Hoc results are shown in Table 35.
Table 35
Games Howell Post Hoc test for Teen dating violence Victimization based on Age of First
Sexual Intercourse
Age of 1
st
sexual intercourse Compartative ages Mean difference Significance
Never had sex 17 and older -.338 .925
16 -.496 .234
15 -.244 .254
14 -.480 * .030 *
13 -.527 .147
12 -.180 .992
11 years or younger -1.965 * .012 *
17 and older Never had sex .338 1.000
16 -.158 1.000
15 .094 1.000
14 -.143 1.000
13 -.189 1.000
12 .158 1.000
11 years or younger -1.627 * .000 *
16 years old Never had sex .496 * .030
17 and older .158 1.000
15 .253 1.000
14 .016 1.000
13 -.030 1.000
12 .317 1.000
11 years or younger -1.469 * .000*
15 years old Never had sex .244 1.000
17 and older -.094 1.000
16 -.253 1.000
14 -.237 1.000
13 -.283 1.000
12 .064 1.000
11 years or younger -1.722 * .000 *
14 years old Never had sex .480 * .013 *
17 and older .143 1.000
16 -.016 1.000
15 .237 1.000
13 -.046 1.000
12 .301 .944
11 years or younger -1.485 .145
13 years old Never had sex .527 .147
17 and older -.317 .963
(table continued)
104
Age of 1
st
sexual intercourse Compartative ages Mean difference Significance
16 .030 1.000
15 .283 .894
14 .046 1.000
12 .347 .934
11 years or younger -1.485 .145
12 years old Never had sex .180 .992
17 and older -.158 1.000
16 -.317 .963
15 -.064 1.000
14 -.301 .944
13 -.347 .934
11 years or younger -1.785 .053
Table 35 shows that for several categories, there are some changes with respect to the
teen dating violence score. In particular, those who had sex at age 11 or younger
compared to those who had sex at age 15 years or older there was statistical significance
in their mean score differences for teen dating violence for this test. With respect to the
control variable, age of first sexual intercourse, the null hypothesis is rejected and this
test indicates a statistical significance that there is a relationship between age of first
intercourse and teen dating violence victimization. There is a negative relationship
between age of first sexual intercourse and teen dating violence victimization; whereby,
the earlier the age of first sexual intercourse, the higher the teen dating violence
victimization score.
Descriptive for teen dating violence victimization based on substance use results is shown
in Table 36.
Table 36
Descriptive for Teen dating violence Victimization based on Substance Use
Substance use
frequency*
N Percent Mean Minimum Maximum
0 – 5 9 0.5% 0 0 0
6 -13 738 42.2% .26 0 12
14 - 22 628 35.9% .36 0 12
23 - 30 240 13.7% .63 0 12
31 - 39 100 5.7% 1.76 0 12
40 -50 19 1.1% 2.00 0 12
51 – 60 11 0.6% 3.36 0 12
61 - 79 5 0.3% 8.80 0 12
*aggregate # of times used various forms of substances (drugs and alcohol)
105
Crosstabs for teen dating violence victimization based on substance use is shown in Table
37.
Table 37
Crosstabs for Teen dating violence Victimization based on Substance Use
Substance Use Groups
Total
0 = 0-5
Negligible
Use
1 = 6-
13
2 =
14-22
3 =
23-30
4 =
31-
39
5 =
40-
50
6 =
51-
60
7 =
61-
79
ViolenceScore
Aggregate Q22 and Q23
0 - did not
date or had
no date
violence
Count 9
670
558
198
63
11
7
1
1517
% of
Total 0.5%
38.3%
31.9%
11.3%
3.6%
0.6%
0.4%
0.1%
86.7%
1 - hurt or
forced to
have sex
once
Count 0
25
20
10
13
3
1
0
72
% of
Total 0.0%
1.4%
1.1%
0.6%
0.7%
0.2%
0.1%
0.0%
4.1%
2 – 2 or 3
times hurt
and/or forced
to have sex
Count
0
17
22
11
5
6
% of
Total
0.0%
1.0%
1.3%
0.6%
0.3%
0.1%
0.0%
0.0%
3.2%
3 – 3 or 4
times hurt
and/or forced
to have sex
Count 0
5
6
4
1
1
0
0
17
% of
Total 0.0%
0.3%
0.3%
0.2%
0.1%
0.1%
0.0%
0.0%
1.0%
4 – 4 or 5
times hurt
and/or forced
to have sex
Count 0
10
8
2
2
0
0
0
22
% of
Total 0.0%
0.6%
0.5%
0.1%
0.1%
0.0%
0.0%
0.0%
1.3%
5 – 5 or 6
times hurt
and/or forced
to have sex
Count 0
1
0
4
0
0
0
0
5
% of
Total 0.0%
0.1%
0.0%
0.2%
0.0%
0.0%
0.0%
0.0%
0.3%
6 - 6 or more
times hurt
and/or forced
to have sex
Count 0
6
8
5
3
0
0
0
22
% of
Total 0.0%
0.3%
0.5%
0.3%
0.2%
0.0%
0.0%
0.0%
1.3%
(table continued)
106
Substance Use Groups
Total
0 = 0-5
Negligible
Use
1 = 6-
13
2 =
14-22
3 =
23-30
4 =
31-
39
5 =
40-
50
6 =
51-
60
7 =
61-
79
7 - 7 or more
times hurt
and/or forced
to have sex
Count 0
0
0
2
2
0
0
0
4
% of
Total 0.0%
0.0%
0.0%
0.1%
0.1%
0.0%
0.0%
0.0%
0.2%
8 - 8 or more
times hurt
and/or forced
to have sex
Count 0
2
1
3
5
1
0
1
13
% of
Total
0.0%
0.1%
0.1%
0.2%
0.3%
0.1%
0.0%
0.1%
0.7%
10 -
10 or more
time hurt
and/or forced
to have sex
Count 0
1
2
0
1
1
0
0
5
% of
Total
0.0%
0.1%
0.1%
0.0%
0.1%
0.1%
0.0%
0.0%
0.3%
12 – 12 or
more times
hurt and/or
forced to have
sex
Count 0
1
3
1
5
1
3
3
17
% of
Total
0.0%
0.1%
0.2%
0.1%
0.3%
0.1%
0.2%
0.2%
1.0%
Total Count 9
738
628
240
100
19
11
5
1750
% of
Total
0.5%
42.2%
35.9%
13.7%
5.7%
1.1%
0.6%
0.3%
100.0%
For the teen dating violence score, the frequency is low on both ends of the scale
(negligible use and high frequency usage); however, the mean teen dating violence scores
are quite remarkable; whereby, the greater the reported number of times respondents used
substances ( drugs and/or alcohol), the higher the mean teen dating violence score.(see
Table 37).
The Levene test for equality of variances was found to be violated for the present
analysis; F(7,1742) = 56.988, p = .000 when running a One Way ANOVA. Due to this
violated assumption, Games-Howell, a post-hoc test that does not assume homogeneity of
variance, was run.
107
Teen dating violence victimization based on substance use Games Howell Post Hoc is
shown in Table 38.
Table 38
Games Howell Post Hoc test for Teen dating violence Victimization based on Substance
Use
Substance use frequency
Comparative frequency
Mean difference
Significance
0 = negligible use
1 = 6
-
13 times
-
.262 *
.000 *
2 = 14
–
22 times
-
.360 *
.000 *
3 = 23
–
30 times
-
.633 *
.000 *
4 = 31
–
39 times
-
1.760 *
.000 *
5 = 40
–
50 times
-
2.000
.322
6 = 51
-
60 times
-
3.364
.520
7 = 61
–
79 times
-
8.800
.137
1 = 6
-
13 times
0 = negligible use
.262 *
.000*
2 = 14
–
22 times
-
.098
.834
3 = 23
–
30 times
-
.372 *
.045*
4 = 31
–
39 times
-
1.498 *
.001*
5 = 40
–
50 times
-
1.738
.485
6 = 51
-
60 times
-
3.364
.520
7 = 61
–
79 times
-
8.440
.154
2 = 14
–
22 times
0 = negligible use
.360 *
.000 *
1 = 6
-
13 times
.098
.834
3 = 23
–
30 times
-
.273
.374
4 = 31
–
39 times
-
1.400 *
.002 *
5 = 40
–
50 times
-
1.640
.554
6 = 51
-
60 times
-
3.004
.638
7 = 61
–
79 times
-
8.440
.154
3 = 23
–
30 times
0 = negligible use
.633 *
.000 *
1 = 6
-
13 times
.372 *
.045 *
2 = 14
–
22 times
.273
.374
4 = 31
–
39 times
-
1.127 *
.038 *
5 = 40
–
50 times
-
1.367
.750
6 = 51
-
60 times
-
2.730
.728
7 = 61
–
79 times
-
8.167
.169
4 = 31
–
39 times
0 = negligible use
1.760 *
.000 *
1 = 6
-
13 times
1.498 *
.001 *
2 = 14
–
22 times
1.400 *
.002 *
3 = 23
–
30 times
1.127 *
.038 *
5 = 40
–
50 times
-
.240
1.000
6 = 51
-
60 times
-
1.604
.975
7 = 61
–
79 times
-
7.040
.250
5 = 40
–
50 times
0 = negligible use
2.000
.322
1 = 6
-
13 times
1.738
.485
2 = 14
–
22 times
1.640
.554
3 = 23
–
30 times
1.367
.750
4 = 31
–
39 times
.240
1.000
6 = 51
-
60 times
-
1.364
.995
7 = 61
–
79 times
-
6.800
.283
(table continued)
108
Substance use frequency
Comparative frequency
Mean difference
Significance
6 = 51
-
60 times
0 = negligible use
3.364
.520
1 = 6
-
13 times
3.102
.605
2 = 14
–
22 times
3.004
.638
3 = 23
–
30 times
2.730
.728
4 = 31
–
39 times
1.604
.975
5 = 40
–
50
times
1.364
.995
7 = 61
–
79 times
-
5.436
.587
Table 38 shows that there is statistically significant difference in the mean teen dating
violence scores with respect to negligible use and higher frequency of use up through
group 4 (frequency from 31 – 39). In general, the pattern persists that the lower the
frequency of substance use, the lower the teen dating violence score, which is shown
throughout the table with asterisks marking each statistically significant difference. Thus,
with respect to substance use, there is statistical significance shown that there is a
relationship between substance use and the teen violence score for this sample. There is a
positive relationship between substance use and teen dating violence victimization score;
whereby the lower the frequency of substance use, the lower the teen dating violence
score.
H1b Regression for dependent variable teen dating violence score shown in Table 39.
Table 39
Regression H1b – Dependent Variable is Teen Dating Violence Score
Variable B- Coffient Beta t-test Significance
constant .203 .851 .395
Hispanic -.053 -.016 -.581 .561
Race -.044 -.019 -.691 .490
Substance Use .037 .199 7.549 .000
Age -.033 -023 -.909 .363
Age at 1
st
sex .107 .144 5.381 .000
Gender -.321 -.102 -4.058 .000
A regression test was conducted within SPSS, which gave an ANOVA result of
F(6,1505) = 21.992, p = .000 for the overall model. Additionally, the model summary
109
showed R² = .081. This indicates that 8.1% of the variance in the teen dating violence
victimization score can be accounted for by this model with the given covariates.
In conclusion, for Hypothesis H1b, there is statistical evidence showing a
relationship between substance use (the greater the frequency of substance use, the
greater the teen dating violence victimization score), and age of first sexual intercourse
(the younger the age of first sexual intercourse, the greater the teen dating violence
victimization score) and the likelihood of being a victim of teen dating violence. The null
is rejected because there are control variables that showed statistical significance
indicating a relationship with teen dating violence victimization.
H1c.
H
0
1c: There is no relationship between race, gender, substance abuse, age, and
age of first sexual intercourse and the likelihood of being a victim of bullying and teen
dating violence
H
a
1c: There is a relationship between race, gender, substance abuse, age, and age
of first sexual intercourse and the likelihood of being a victim of bullying and of teen
dating violence.
H1c multivariate regression shown in Table 40.
Table 40
Multivariate Regression H1c
Variable Effect (Pillai’s Trace) Effect
Value
F Sig.
Intercept .035 27.030 .000
Race Black White Other .004 3.147 .043
Gender (Q2) .021 16.444 .000
Age .006 4.671 .010
Substance Use .052 41.440 .000
How old at first sex? (Q60) .020 15.194 .000
(table continued)
110
Variable Effect (Pillai’s Trace) Effect
Value
F Sig.
Hispanic .004 3.184 .042
The multivariate analysis for H1c indicates, and is in agreement with the previous
tests, that the strongest predictor of teen dating violence victimization and bully
victimization is substance use. This is indicated by the effect size = .052, which is greater
than all of the other covariates shown in Table 40. Also, in this test, all covariates have p
values less than 0.05 indicating statistical significance of having a relationship with the
dependent variables. Therefore, the null hypothesis is rejected as this test indicates a
relationship between race (Blacks had the least likelihood of experiencing teen dating
violence and bullying victimization), ethnicity (Hispanic or not) (non-Hispanics had
greatest likelihood of experiencing teen dating violence and bullying victimization),
substance use (there was a positive relationship; the greater the frequency of substance
use, the greater the likelihood of experiencing teen dating violence and bullying
victimization), age (there was a negative relationship, the younger the age, the greater the
likelihood of experiencing teen dating violence and bullying victimization), age of first
sexual intercourse (there was a negative relationship, the younger age of first sexual
intercourse the greater the likelihood of experiencing teen dating violence and bullying
victimization).
Research question 2: Does spending time with a parent mediate any
relationships between experiencing bully victimization and experiencing teen dating
violence when controlling for race, gender, substance abuse, age, and age of first
sexual intercourse?
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H₀2: Spending time with a parent does not mediate the relationships between
experiencing bully victimization and experiencing teen dating violence after accounting
for race, gender, substance abuse, age, and age of first sexual intercourse.
Hₐ2: Spending time with a parent does mediate the relationships between experiencing
bully victimization and experiencing teen dating violence after accounting for the
influence of race, gender, substance abuse, age, and age of first sexual intercourse.
To investigate research Question 2 with predictor variables (including ethnicity,
age, gender, age of first sexual intercourse, race and substance use), a simple mediation
analysis was performed using a macro installed within SPSS, written by Andrew F.
Hayes, called Conditional PROCESS (Hayes, 2012).The first outcome variable for
analysis was bully victimization. The first predictor variable for the analysis was
Hispanic or not. The mediator variable for the analysis was spending time with a parent.
The indirect effect of Hispanic or not predictor on bully victimization was found to be not
statistically significant Effect = -.0109, 95% C.I. (-.20611, -.20027).The second predictor
variable for the analysis was age. Again, the mediator variable for the analysis was
spending time with a parent. The indirect effect of age on bully victimization was found
to be statistically significant Effect = -.0089, 95% C.I. (.0032, .0166). The third predictor
variable for the analysis was gender; the mediator variable for the analysis was spending
time with a parent. The indirect effect of gender predictor on bully victimization was not
statistically significant Effect = -.0022, 95% C.I. (-.0127, -.0065). The fourth predictor
variable for the analysis was age of first sexual intercourse; the mediator variable for the
analysis was spending time with a parent. The indirect effect of age at first sexual
intercourse predictor on bully victimization was found to be statistically significant Effect
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= .0034, 95% C.I. (.0008, .0077).The fifth predictor variable for the analysis was race; the
mediator variable for the analysis was spending time with a parent. The indirect effect of
race predictor on bully victimization was found to be statistically significant Effect =
.0161, 95% C.I. (.0070, .0293). The sixth predictor variable for the analysis was
substance use; the mediator variable for the analysis was spending time with a parent.
The indirect effect of substance use predictor on bully victimization was found to be
statistically significant Effect = .0095, 95% C.I. (.0017, .0200).
Continuing with the analysis of research Question 2, further simple mediation
analysis was performed using the function, Conditional PROCESS, whereby the outcome
variable for analysis was teen dating violence victimization. The first predictor variable
for the analysis was Hispanic or not; the mediator variable for the analysis was spending
time with a parent. The indirect effect of Hispanic or not on teen dating violence was not
statistically significant Effect = -.0385, 95% C.I. (-.0736, -.0091).The second predictor
variable for the analysis was age; the mediator variable for the analysis was spending
time with a parent . The regression shows that age had no impact on teen dating violence
p=.5753; therefore, spending time with a parent could not be considered a mediator with
respect to age. The third predictor variable for the analysis was gender; the mediator
variable for the analysis was spending time with a parent. Gender did not have a
statistical significant effect on spending time with a parent p= .5373 . Gender had no
effect on spending time with a parent therefore spending time with parent could not be a
mediating variable between teen dating violence and gender . The fourth predictor
variable for the analysis was age of first sexual intercourse; the mediator variable for the
analysis was spending time with a parent. The indirect effect of age of first sexual
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intercourse on teen dating violence was found to be statistically significant Effect =
.0076, 95% C.I. (.0031, .0159).The fifth predictor variable for the analysis was race; the
mediator variable for the analysis was spending time with a parent. The indirect effect of
race on teen dating violence was found to be statistically significant Effect = .0454, 95%
C.I. (.0248, .0758). The sixth predictor variable for the analysis was substance use; the
mediator variable for the analysis was spending time with a parent. The indirect effect of
substance use on teen dating violence was found to be statistically significant Effect
=.0309, 95% C.I. (.0152, .0503).
In conclusion, the null hypothesis is rejected as spending time with a parent does
mediate the relationship between experiencing bully victimization and experiencing teen
dating violence as each of these dependent variables was tested separately with each
control variable and the concluding results are summarized to support this. The results
showed that spending time with a parent mediated both bully victimization and
experiencing teen dating violence victimization for the control variables, race, age of first
sexual intercourse, and substance use. Although spending time with a parent mediated
bully victimization when controlling for age, it did not mediate for teen dating violence
victimization when controlling for age. Hence, there was statistical significance indicated
for the mediation of spending time with a parent as proposed in the research hypothesis.
Summary
The current study was a quantitative study using archival data from the 2013
YRBSS for Palm Beach County Florida used to examine the relationship between
race/ethnicity, gender, age, substance use, and age of first sexual intercourse and bully
and teen dating violence victimization. Descriptive statistics were used to report
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demographics. One way ANOVA, Chi-square, univariate and multivariate regression
analysis, and Conditional PROCESS (for determining possible mediation) were
conducted as it related to the two research questions and associated hypotheses.
Additionally, Games Howell Post Hoc test were attained and reported in narrative and
tabular formats. The results of the statistical analysis of Research Question 1 were that
the null hypothesis, H
0
1a
,
was rejected and this test indicated a statistical significance that
there was a negative relationship between age and bully victimization (respondents who
were 15 had a higher bully victimization score than participants who were 18). There is
statistical evidence showing a relationship between gender (females had a higher
frequency of bully victimization), a positive relationship in terms of frequency of
substance use (respondents with higher frequency of substance use reported higher bully
victimization), and a negative relationship with age of first sexual intercourse and the
likelihood of being a victim of bullying (those who had sexual intercourse at 11 years or
younger had a higher bully victimization score than those age 17 and older).
Furthermore, the null hypothesis, H
0
1b
,
was rejected because there are predictor
variables that showed statistical significance indicating a relationship with teen dating
violence victimization. There was no statistical evidence of a relationship between age
and being a victim of teen dating violence (frequency of teen dating violence
victimization was not affected by age of respondents). Also, there is no statistical
evidence showing a relationship between gender (although females had a higher
frequency of teen dating violence), a positive relationship in terms of frequency of
substance use was indicated with teen dating violence (respondents who reported higher
frequency of substance use (drugs and/or alcohol) also reported greater teen dating
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violence victimization), and a negative relationship with age at first sexual intercourse
and the frequency of teen dating violence was shown (respondents who had their first
sexual intercourse at a younger age also reported greater frequency of teen dating
violence victimization) . Additionally, the null hypothesis, H
0
1c
,
was rejected. This was
indicated with a negative relationship between race and ethnicity (Hispanic or not) –
lower scores for Hispanics (Blacks had the least likelihood of experiencing teen dating
violence and bully victimization; whereas, non-Hispanics had greatest likelihood of
experiencing teen dating violence and bully victimization); a positive relationship with
substance use – the higher the frequency of reported substance use, the higher the teen
dating violence and bully victimization scores; a negative relationship with age – the
younger the age, the more likely to be a victim of teen dating violence and bullying; a
negative relationship with age of first sexual intercourse – the younger one had sexual
intercourse, the more likely they were to be a victim of bullying and teen dating violence.
The results of the statistical analysis of Research Question 2 were that the null hypothesis
H
0
2 is rejected for this test, and spending time with a parent was shown as a mediating
factor for bully victimization and was also shown as a mediating factor for teen dating
violence. The results showed that spending time with a parent mediated both bully
victimization and experiencing teen dating violence victimization for the control variable,
race, age of first sexual intercourse, and substance use. Although spending time with a
parent mediated bully victimization when controlling for age, it did not mediate for teen
dating violence victimization when controlling for age. Hence, there was statistical
significance indicated for the mediation of spending time with a parent as proposed in the
research hypothesis.
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Chapter 5 will focus on interpretation of the findings, limitations of the current
study, and recommendations for future research. Additionally, I will discuss the social
change impact of the results of this study and final conclusions.
Chapter 5: Discussion, Conclusions, and Recommendations
Introduction
Teen dating violence and bullying are major public health concerns. Both teen
dating violence victimization and bully victimization contribute to negative psychological
and physical outcomes (Foshee et al., 2014). The purpose of this quantitative study using
archival data from the 2013 YRBS for Palm Beach County, Florida was to examine the
relationship between race/ethnicity, gender, age, substance use, and age of first sexual
intercourse and bully and teen dating violence victimization. I also examined the effect of
the protective factor spending time with a parent as a potential mediating variable.
Considering that first dating violence experiences appear to occur during the teen
years (Center for Disease Control and Prevention, 2014a), and bullying occurs most often
among youths (Robers et al., 2011), this research advances the field of intimate partner
violence by testing possible association between teen dating violence and bullying.
Currently most research and prevention programs targeting teen dating violence and
bullying occurs in silos (Grych & Swan, 2012). As a result, prevention programs may not
be meeting the needs of teens engaged in teen dating violence and bully victimization.
Identifying associations among various forms of violence such as teen dating violence
and bullying is essential in meeting the needs of teens within violence prevention
programs and those that might be struggling with these issues on an individual level.
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Key findings
Findings from this study included females having a higher frequency of bully
victimization, respondents with higher frequency of substance use reported higher bully
victimization and those who had sexual intercourse at 11 years or younger had a higher
bully victimization score than those who had first sexual intercourse at ages 17 and older.
Frequency of teen dating violence victimization was not affected by age of respondents .
Additionally, females had a higher frequency of teen dating violence. Respondents who
reported higher frequency of substance use (drugs and/or alcohol) also reported greater
teen dating violence victimization. Furthermore, respondents who had their first sexual
intercourse at age 11 or younger also reported greater frequency of teen dating violence
victimization. Blacks had the least likelihood of experiencing teen dating violence and
bully victimization; whereas, non-Hispanic Whites had greatest likelihood of
experiencing teen dating violence and bully victimization. The higher the frequency of
reported substance use, the higher the teen dating violence and bully victimization scores;
the younger the age, the more likely to be a victim of teen dating violence and bullying;
the younger one had sexual intercourse, the more likely they were to be a victim of
bullying and teen dating violence. Spending time with a parent mediated both bully
victimization and experiencing teen dating violence victimization when controlling for
race, age of first sexual intercourse, and substance use. Although spending time with a
parent mediated bully victimization when controlling for age, it did not mediate for teen
dating violence victimization when controlling for age.
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Interpretation of the Findings
The findings confirm existing literature as it relates to findings that there is a
relationship among substance use, gender, relationship with parent(s), teen dating
violence and bullying. Several studies have linked substance use to teen dating violence.
McNaughton Reyes et al., (2012) reported that teens exposed to higher levels of family
violence and friend dating violence had heavier alcohol use and dating violence. Maas et
al., (2010) confirmed the link between alcohol use and teen dating violence where they
reported that early adolescence alcohol consumpton increased risk of late adolescence
teen dating violence. Furthermore, alcohol and drug use are listed as risk factors for teen
dating violence (Center for Disease Control and Prevention, 2012a) . As it relates to
gender and teen dating violence, several researchers stated that females are more likely to
be victims of dating violence and/or experience more adverse effects (Alleyne et al.,
2011;Coker et al., 2014;Exner-Cortens et al., 2013;Maas et al., 2010) . As it relates to
relationship with parent(s) Maas et al., (2010) reported that bonding to parents and social
skills protected females against teen dating violence in part by reducing alcohol use;
whereas, childhood bonding to parents was indirectly related to teen dating violence
victimization for males. Another study conducted by Black et al., ( 2015) also showed
positive relationships with parents acting as a protective factor as it related to
involvement in violent relationships both intimate and social. Nurturing parenting skills
and stable family relationships were identified by Center for Disease Control and
Prevention (2012a) as relationship protective factors for teen dating violence. The
findings from my study, which extend knowledge in the discipline, include my results
related to race/ethnicity. Prior studies consisted of majority white populations and
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researchers who conducted analysis of their limited nonwhite samples as part of their
overall results, found it difficult to draw definitive relationships between race/ethinicity
and teen dating violence Kowalski & Limber, (2013. Furthermore, few studies targeted
African American teens where majority of the studies targeted majority white
populations. This current study had a relatively equal representation of race/ethnic groups
( 24.38% black, non-Hispanic, 30.75% Hispanic, 35.87% white, non-Hispanic, and 9.0%
other). Few studies examined teen dating violence in the context of ethnicity/race as the
targeted population (Black, et al., 2014;Boothe et al., 2014;Bradshaw et al.,
2013;Freeman & Temple, 2010;Henry & Zeytinoglu, 2012;Redhawk Love & Richards,
2013; Temple & Freeman, 2011) . Although there were few studies where the sampling
of African American youth were predominant, an association between bullying and
race/ethnicity was prevalent throughout the literature (Boothe et al., 2014;Goldweber et
al., 2013;Wang et al., 2009;Williams & Peguero, 2013).
Furthermore, there was a gap in the literature regarding teen dating violence with
co-occurrence with bullying among African American teens as such studies to date did
not exist. Temple & Freeman, (2011) reported that in their study of 1,565 ethnically
diverse teens in southeast Texas, they did not see an association between dating violence
and being African American, white or Hispanic (p.701) . In contrast to the Temple &
Freeman study, the National Youth Risk Behavior Surveillance ( YRBS) 2009 showed
that African American teens had the highest rate of teen dating violence victimatization
(Center for Disease Control and Prevention, 2010). The study conducted by Tyler,
Brownridge, & Melander, (2011) aligned with the National YRBS data where the authors
conducted a study consisting of 1,025 adolescence(49.8% white,24% black, 11.5%
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Hispanic, and 14.7% other) and reported findings of black youth being more likely to be
victims of dating violence than their white counterparts . However, the results of my
study which used data from the 2013 Palm Beach County Florida YRBS disconfirm these
results, whereby; Blacks had the least likelihood of experiencing teen dating violence and
bully victimization; whereas, non-Hispanic Whites had greatest likelihood of
experiencing teen dating violence and bully victimization.
The findings related to age and age of first sexual intercourse extend knowledge
in the discipline as there was a gap in the literature related to the potential relationship
between age of first sexual intercourse and teen dating violence and bully victimization.
Throughout the literature, early aggression in the form of bullying which occurs in early
adolescents as a prelude to later dating violence as the social context of adolescence
relationships change is discussed in limited context (Foshee, et al., 2014;Ellis & Wolfe,
2014;Miller, et al., 2013). Additionally, there is mention of sexual abuse victimization as
a child being associated with victimization and perpretation of intimate partner violence
and bullying (Davis, et al., 2012). The findings from this study, whereby the younger the
age, the more likely someone is to be a victim of teen dating violence and bullying and
the younger one had sexual intercourse, the more likely they were to be a victim of
bullying and teen dating violence extends knowledge more specifically as it relates to age
and early sexual experiences acting in concert with experiencing teen dating violence and
bullying. The context of early sexual experiences should be further explored in order to
better understand the role early sexual experience has on teen dating violence and bully
victimization.
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Social learning theory premises that environment, personal factors, and behaviors
are continually influencing each other (Bandura, 2001). Environment relates to aspects
within the social and physical environment that can influence behavior (Bandura, 2001).
Social environment relates to family and friends; whereas, physical environment relates
to the larger community such as schools and neighborhoods (Bandura, 2001). Personal
factors relates to cognitive, affective, and biological components of the individual.
(Bandura, 2001) Findings from this study as it relates to the social learning theory
framework are highlighted where spending time with a parent (environment) was shown
to act as a mediating variable for experiencing teen dating violence (behavior) and
bullying (behavior) in addition to the association among substance use (behavior) , age of
first sexual intercourse (personal), gender (personal) and victimization. Bandura, (2001)
argued that behavior is a result of observational learning and vicarious reinforcement.
How teens operationalized their thoughts around violence in their dating relationships
and bullying is a result of their social experience and how these thoughts influence their
behavior. Additionally, the findings in this study related to teen dating violence and bully
victimization occurring within the same individuals align with social learning theory,
whereby; the cognitive process one engages in as it relates to behavior, serves to
reinforce or reject the behavior (Bandura, 1973). Understanding acceptable behaviors and
consequences of teen dating violence and bullying requires an awareness that involves
cognitive processes which regulates the decision on whether to act. Victims of one form
of violence such as bullying may process such actions in a way which makes them more
susceptible to being a victim of teen dating violence.
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Limitations of the Study
Limitations of this study included generalization whereby the results of this study
cannot be generalized to all population but only applied to the population from which the
sample was drawn- high school students in Palm Beach County Florida. Despite the
generalization limitation, the findings of the study align with other studies and can be
used to further research to prevent teen dating violence victimization, bully victimization
and inform violence prevention programs. As is typical of self report questionnaires,
issues related to recall bias may have occurred whereby there may be an underreporting
or over reporting. However, reliance on self-report survey design has been used for
studies of this nature on multiple occasions and has been an effective method of
measurement in Public Health and other social sciences (Creswell, 2009; Frankfort-
Nachmias & Nachmias, 2008) . Additionally, analysis of the study was hampered by the
low number of participants who were 13 and younger (n=15), therefore the results related
to bully victimization does not reflect those who are younger than 13 within the Palm
Beach County High School system. However, this population may be captured in other
research which focuses on middle school where you are more likely to find respondents
younger than 13.
The highest substance usage had very few respondents (6) . Statistical
significance for group 7 (61-79 frequency of substance use) could not be validated by
statistical test. However, the raw mean scores was indicative of a relationship between
bully victimization and substance use (see Table 20) and the pattern persisted that the
lower the frequency of substance uses, the lower the bully victimization score; this is
shown throughout Table 20 . An additional limitation relates to the construct for age of
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first sexual intercourse which does not inform of the context to this sexual encounter.
However, the findings of the study whereby, those who had sex at age 11 or younger
were more likely to report being a victim of bullying and the younger the age of first
sexual intercourse, the more likely they were to report being a victim of teen dating
violence warrants further research. The construct of spending time with a parent was
measured based on having dinner with a parent during the previous seven days .
Although responses to this question may not adequately describe the nature of the parent-
child dyad . To limit construct issues and give more relevance, analysis was conducted
using the number of days spent eating dinner with a parent within the past 7 days, ranging
from 0 to 7 days. Additionally, due to the inclusion of age of first alcohol use variable
which might create construct issues, as part of the aggregate for substance use, and to
ensure an ordinal response to match levels of intensity related to substance use, a re-
ordering of the numerical representations of the responses was required. To further
confirm the use of the new response order, I conducted an analysis comparing age of first
alcohol use (Q42) to the frequency of use (Q41). There was an association (positive
correlation, r = 0.372, chi-square p = 0.000); indicating that the younger a respondent
began using alcohol, the higher the frequency of alcohol use. These results are in line
with other studies which have shown positive trajectory of early substance use and
frequency (Adams et al., 2013; Pilatti, Godoy, Brussino, & Pautassi, 2013).
Recommendations
One of the challenges of conducting a study which relies on archival data is the
inability to design the questions on the survey. As a result, I would recommend that
further research expand on this study by examining the relationship between age of first
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sexual intercourse and teen dating violence and bully victimization which includes a
question about the context (including relationship to perpetrator) in which the first sexual
encounter occurred. Understanding the context in which ones first sexual encounter
occurred will provide greater relevance for targeting specific childhood intervention
programs and childhood protective factors. Additionally, further research is needed to
determine the relationship between substance use ( drugs/alcohol) and teen dating
violence and bullying. The results of this study indicated that there is a relationship
between substance use (drugs/alcohol) and teen dating violence and bully victimization
whereby the higher the reported substance use, the higher the teen dating violence and
bully victimization score. A question that may be answered in further research is whether
or not using drugs/alcohol put teens in situations where they get bullied/and or abused by
others or do they do drugs/alcohol as a result of being bullied/and or abused by others .
Early substance use may impair social and dating relationship and judgement, leading to
early stressors and victimization (Maas et al., 2010).
Although this study adds to the body of knowledge related to teen dating violence
and bullying, there is still a need to focus research in this field as it relates to
race/ethnicity. The results of this study showed that Blacks were least likely to report
victimization and non-Hispanic Whites were most likely to report victimization. Along
with prior research which have reported results along racial/ethnic line, this research
shows that there is a relationship between race/ethnicity and teen dating violence and
bully victimization, never the less, there is limited research which focus on examining
this relationship in a way where results might help inform prevention programs. African
American teens are more likely than their white counterparts to live in communities
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where prevalence of violence is higher (Martin, Houston, Mmari, & Decker, 2012; Patton
et al., 2013). Exposure to violence has been shown to be a risk factor for perpertation and
victimization of violence (McNaughton Reyes et al., 2012), therefore; research which
occurs in communities of color is still needed.
At the inception of this study, there was limited research which examined co-
occurrence of various forms of violence. The results of this study adds to the body of
knowledge related to co-occurrence of various forms of violence specifically, co-
occurrence of experiencing teen dating violence and bully victimization. As a result,
research which expands on this study to include other methods such as mixed or
qualitative designs might allow for development of evidence based practice within
prevention programs targeting the co-occurrence population.
Implications
Positive social change
Potential impact of this study as it relates to social change is change in the
landscape of prevention programs which target teens. The results of this study showed a
relationship between teen dating violence victimization and bully victimization. Currently
prevention programs occur in isolation of each other whereby, the focus is on single
forms of violence. An organizational social change impact of this study could be to move
the field of teen dating violence prevention towards a co-occurrence focus . Using the
results from this study whereby spending time with a parent as a mediating variable
which showed that respondents who reported more days spent having dinner with a
parent were less likely to report being a victim of dating violence and bullying, may
inform and change the family system . Social change for the family system as it relates to
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the results of this study can help to educate parents on the important role they play in
prevention of dating violence and bullying. On an individual social change level, teens
who may not be aware of behaviors and personal factors which puts them at risk for
victimization such as shown in this study ( substance use, gender, age, age of first sexual
intercourse) can be educated regarding same by incorporating these results into the
evidence based practice of practitioners in the field of violence prevention which might
change behaviors of teens . Changes in behaviors of teens as it relates to teen dating
violence and bullying, may lead to decrease victimization and long term healthy social
and intimate relationships. Although the results from this study may not be generalized to
populations outside of the sample, researchers in the field of prevention of teen dating
violence, youth violence, bullying, and intimate partner violence could build on this study
to better impact how public health workers advocate for funding and frame public policy.
Furthermore, prevention of teen dating violence may lead to decreases in rates of intimate
partner violence as there has been an established link between victimization and
perpetration of dating violence in youth and adult
intimate partner violence (Grych &
Swan, 2012). As a result of the association found in this study as it relates to co-
occurrence of teen dating violence victimizationa and bully victimization, there is a
potential to transform how researchers approach studies involving not only teen dating
violence but also adult initimate partner violence whereby there might be consideration of
co-occurrence of adult bully victimization and adult intimate partner violence . The
application of quantitative methods using achival data from the 2013 YRBSS to conduct
this study successfully, affords other researchers the opportunity to conduct similar
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studies in other populations and compare results to create social change on a larger scale
as this study cannot be generalized to larger populations.
Conclusions
Teen dating violence and bully victimization are preventable. Violence is a
learned behavior which can be changed based on the social learning theory (Bandura,
1973). Limited studies have examined the co-occurrence of various forms of violence.
This study’s results showed that there is an association between teen dating violence
victimization and bully victimization. Further research which examines if bully
victimization makes one more likely to be a victim of teen dating violence is warranted .
Public health has focused on identifying risk factors for teen dating violence and bully
victimization but struggles to identify protective factors mostly due to the limited
research which has been conducted on protective factors (Center for Disease Control and
Prevention, 2012a). This research indicated potential protective factor such as eating
dinner with a parent but it also identified risk factors such as gender, age, age of first
sexual intercourse and substance use . The risk factors which make this study stand out
among other research is age of first sexual intercourse and substance use. Respondents
who had sexual intercourse at age 11 or younger were more likely to report being a
victim of teen dating violence and where there were reports of higher substance use,
respondents had higher teen dating violence victimization and bully victimization score .
Further research which examines whether using drugs/alcohol put teens in situations
where they get bullied or whether they do drugs/alcohol as a result of being bullied is
needed. Although this study did not confirm other studies results whereby, African
American teens reported being more likely to being a victim of teen dating violence,
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however; this study does show that there is a relationship between race/ethnicity and teen
dating victimization and bully victimization which should be used to inform prevention
programs.