For this Discussion, you view a video case in which the circumstances for a potential act of sexual violence are put in motion. You analyze the bystander behavior in the video and the possible effects of sexual violence on survivors and bystanders.
Review the Learning Resources on sexual assault, dating violence, and bystander intervention. Focus on the theories of bystander intervention described in the assigned journal articles.
Watch the Johnson Family video case study. Consider the behavior of the people in the video, paying particular attention to a bystander’s decision whether to intervene.
Apply one bystander intervention theory to the behavior of those exhibited in the video. Then, describe a scenario in which a bystander could have influenced this scenario in a different way. Please use the Learning Resources to support your application of theory.
Johnson Family Episode 1
Johnson Family Episode 1
Program Transcript
ERIC: Ladies, what’s going on?
TALIA: Hi.
ERIC: I’m Eric.
TALIA: Talia
SHERRY: Sherry.
ERIC: Excellent. So I know some good-looking guys looking for some good-
looking girls.
SHERRY: You do, huh?
ERIC: We’re throwing a party Saturday night, and invitation only. I want you guys
to come. Lots of booze. You like to dance?
TALIA: I love to dance.
ERIC: Me too. You should dance with me. You better come.
TALIA: All right.
ERIC: Both of you.
SHERRY: Thanks.
ERIC: I’ll see you then? All right, see you later.
TALIA: Bye.
SHERRY: Bye.
TALIA: He’s hot.
SHERRY: You think?
TALIA: Oh, yeah. You gonna go?
SHERRY: Well, yeah, if you’re going to go.
TALIA: Yeah, I’m definitely gonna go.
©2013 Laureate Education, Inc. 1
Johnson Family Episode 1
SHERRY: OK, then we’re going.
TALIA: OK, it’s settled.
[INTERPOSING VOICES]
ERIC: Hey, there. How you feeling?
I’m drunk.
ERIC: Yes, you are. Here, have some more.
TALIA: I need to lay down. I don’t feel so good.
ERIC: Oh, no. No, no, no. Not here.
TALIA: Take me home.
ERIC: It’s my frat party. I actually– I’ll tell you what. I’ll take you upstairs. You can
use my bed, OK?
TALIA: Sure.
ERIC: All right. Come on, Talia. I got you.
SHERRY: Talia. Hey, are you OK?
TALIA: I’m fine.
SHERRY: You sure? Do you want to go with him?
ERIC: It’s fine. She likes me. Don’t you?
TALIA: Uh-huh.
Johnson Family Episode 1
Additional Content Attribution
MUSIC:
Music by Clean Cuts
Original Art and Photography Provided By:
Brian Kline and Nico Danks
©2013 Laureate Education, Inc. 2
Bystander Intervention to Prevent Sexual Violence: The Overlooked Role
of Bystander Alcohol Intoxication
Ruschelle M. Leone
Georgia State University
Michelle Haikalis
University of Nebraska—Lincoln
Dominic J. Parrott
Georgia State University
David DiLillo
University of Nebraska—Lincoln
Objectives: Bystander training is a promising form of sexual violence (SV) prevention that has
proliferated in recent years. Though alcohol commonly accompanies SV, there has been little consider-
ation of the potential impact of bystander alcohol intoxication on SV prevention. The aims of this
commentary are to provide an integrative framework for understanding the proximal effect of alcohol on
SV intervention, provide recommendations to spark novel research, and guide the application of research
to bystander programming efforts. Method: This commentary begins with a review of existing bystander
training programs and the need to target alcohol use and misuse in these programming efforts. Next,
pertinent alcohol and bystander theories and research are drawn to develop a framework for the proximal
effect of alcohol on SV intervention. Results: The well-established decision-making model of bystander
behavior (Latané & Darley, 1970) and alcohol myopia theory (Steele & Josephs, 1990) are used to
identify potential barriers to SV intervention that may be created or exacerbated by alcohol use.
Additionally, the ways in which alcohol may facilitate intervention are discussed. Conclusions: Specific
recommendations are made for elucidating the relationship between alcohol and bystander behavior and
testing the impact of alcohol at each level of the presented framework. Methodological and analytic
concerns are discussed, including the need for more multimethod studies. Recommendations to guide the
application of the present framework to SV prevention programming efforts are provided, and consider
how the proximal effects of alcohol impact intervention.
Keywords: alcohol myopia, bystander effect, prevention, sexual aggression, sexual assault
Through the myopia it causes, alcohol may tie us to a roller-coaster
ride of immediate impulses arising from whatever cues are salient.
—(Steele & Josephs, 1990, p. 923)
. . . situational factors, specifically factors involving the immediate
social environment, may be of greater importance in determining an
individual’s reaction to an emergency than such broad motivational
concepts as “apathy”. . . .
—(Latané & Darley, 1970, p. 127)
Bystander training is a promising form of sexual violence (SV)
prevention that has gained widespread favor in recent years
(DeGue et al., 2014). These programs train witnesses to intervene
in risky sexual situations, which often involve alcohol (Abbey,
2002; Testa, 2002). Though bystanders, if also intoxicated in these
situations, are undoubtedly susceptible to alcohol’s cognitive and
attentional influences, there is little empirical data to inform
whether intoxication on the part of bystanders interferes with their
ability to respond effectively to sexual risk situations. As such, the
principal aims of this article are to (a) propose an integrative
framework for the proximal effect of alcohol intoxication on by-
stander intervention when witnessing SV behavior (hereafter referred
to as SV intervention), (b) provide recommendations to stimulate new
lines of research, and (c) guide the application of research to bystander
programming efforts. This article begins by reviewing bystander
training programs and discussing the need to target alcohol use and
misuse in these programming efforts. We then provide a framework to
understand how the proximal effects of alcohol may influence SV
intervention by integrating pertinent alcohol and bystander theories.
This framework is the basis for specific recommendations for future
research and is used to guide potential applications of findings to
prevention programming efforts.
Review of Bystander Training Programming
Bystander training programs have proliferated on college cam-
puses in recent years as a key approach to SV prevention. In
This article was published Online First October 19, 2017.
Ruschelle M. Leone, Department of Psychology, Georgia State University;
Michelle Haikalis, Department of Psychology, University of Nebraska—Lin-
coln; Dominic J. Parrott, Department of Psychology, Georgia State University;
David DiLillo, Department of Psychology, University of Nebraska—Lincoln.
Ruschelle M. Leone and Michelle Haikalis contributed equally to this
work and share first authorship. Preparation of this article was supported in
part by National Institute on Alcohol Abuse and Alcoholism Grants
F31AA024692 awarded to Michelle Haikalis and F31AA024369 awarded
to Ruschelle M. Leone.
Correspondence concerning this article should be addressed to Ruschelle
M. Leone, Department of Psychology, Georgia State University, P.O. Box
5010, Atlanta, GA 30302-5010. E-mail: rleone1@gsu.edu
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
Psychology of Violence © 2017 American Psychological Association
2018, Vol. 8, No. 5,
639
– 647 2152-0828/18/$12.00 http://dx.doi.org/10.1037/vio0000155
639
mailto:rleone1@gsu.edu
http://dx.doi.org/10.1037/vio0000155
contrast to traditional prevention approaches that seek to educate
about SV and shift rape-supportive attitudes (Banyard, Plante, &
Moynihan, 2004; DeGue et al., 2014; Söchting, Fairbrother, &
Koch, 2004), these programs focus on activating individuals to
intervene in a range of SV behaviors (Bennett, Banyard, &
Garnhart, 2014). Bystander programs serve two main functions:
(a) to prevent specific instances of SV from occurring by encour-
aging bystanders to engage in intervention when witnessing risky
sexual scenarios and (b) to lead a cultural shift by establishing
healthy social norms and dispelling rape-supportive attitudes that
contribute to SV (Fabiano, Perkins, Berkowitz, Linkenbach, &
Stark, 2003). By targeting individual-, peer-, and community-level
risk factors for SV, bystander programs answer the numerous calls
made for a multilevel, ecological approach to strengthen preven-
tion efforts (Banyard, 2011; DeGue et al., 2014). Evaluations
indicate that bystander training can attenuate attitudinal barriers to
action (e.g., rape-myth acceptance) and increase bystanders’ desire
to intervene in risky sexual situations (e.g., bystander intentions;
for review, see Katz & Moore, 2013). Though reducing rape-
supportive attitudes is desirable, examination of attitudinal out-
comes in isolation stops short of the main outcomes of interest,
namely, fostering bystander intervention behaviors and reducing
the occurrence of SV. A focus on attitudes alone is concerning,
given a recent review of SV training programs that target attitu-
dinal or knowledge outcomes are ineffective in producing behavior
change (DeGue et al., 2014). Moreover, only a few studies have (a)
examined whether bystander training leads to increases in self-
reported prosocial bystander behavior, and (b) demonstrated pos-
itive increases in prosocial bystander behavior following training
(Coker et al., 2015; Moynihan et al., 2015).
In-person training is the most common method of enlisting
bystanders to intervene and is typically conducted through presen-
tations or small group workshops, with audiences most often
consisting of U.S. college students. Online trainings have also been
developed, which ease the burden of dissemination and have the
potential to reach more individuals, more often (Jouriles et al.,
2016; Salazar, Vivolo-Kantor, Hardin, & Berkowitz, 2014).
Though details vary, trainings share many common components,
including SV awareness education, specific techniques to identify
sexual risk markers, education about bystanders’ responsibility
when they witness risk, and discussion about or practice engaging
in strategies to intervene in risky situations (for a review, see
Storer, Casey, & Herrenkohl, 2016). Trainings often include some
consideration of the well-established finding that alcohol is a
contributing factor of SV (Abbey et al., 2002) and focus on
encouraging students to recognize risk when in alcohol-related
contexts. This focus is particularly important, given that perpetra-
tor or victim alcohol intoxication is a factor in over half of sexual
assaults (Abbey, 2002; Testa, 2002) and that bystanders report
perceiving more barriers to intervention when a potential victim is
intoxicated (Pugh, Ningard, Ven, & Butler, 2016).
Though training bystanders to attend to alcohol-related risk is
helpful, programming efforts to date have not adequately ad-
dressed how alcohol use could influence bystanders themselves.
Thus, key questions remain. Are intoxicated individuals less likely
to recognize SV risk, less able to engage in bystander behavior, or
less effective at intervening? Relatedly, what are the mechanisms
by which alcohol might influence bystander witnessing or behav-
ior? Surprisingly, no study has directly examined the effects of
alcohol use on bystander behavior in the moment, and only three
studies have examined general links between bystander alcohol
use and bystander behavior. These latter findings demonstrate that
men who drink more heavily are less willing to intervene in SV
than men who do not drink heavily (Orchowski, Berkowitz, Bog-
gis, & Oesterle, 2016); heavy alcohol use is associated with a
lower likelihood of SV intervention among men but not women
(Fleming & Wiersma-Mosley, 2015), and bystanders fail to inter-
vene in the vast majority of bystander opportunities in bar settings
(Graham et al., 2014). Though these findings suggest possible
associations between alcohol use and bystander behaviors, the
field lacks evidence to inform our understanding of the impact of
acute intoxication on bystander behavior and the putative mecha-
nisms for this effect.
An Integrative Framework for the Proximal Effect of
Alcohol on SV Intervention
The most well-established model of bystander behavior (Ben-
nett et al., 2014; Burn, 2009), the decision-making model, posits
that bystanders must make a series of decisions to intervene: They
must (a) notice the event, (b) identify the situation as intervention
appropriate, (c) take responsibility to intervene, (d) decide how to
help, and (e) take action (Latané & Darley, 1970). Progressing
through these decision-making steps is important for bystanders to
engage in prosocial behavior; however, barriers at each step may
hinder intervention. As the number of perceived barriers increases,
the likelihood that a bystander will engage in SV intervention
decreases (Burn, 2009). Moreover, bystanders’ decision-making
does not necessarily follow a linear path, wherein each step is
subsequently achieved (Banyard, 2011). Depending on the devel-
opment of the witnessed situation, bystanders may take in new
information and regress to the previous steps. Further, although
decision-making is an internal process, bystanders are influenced
by contextual variables and previous experiences with witnessing
and intervening in SV, which impact current behavior (Banyard,
2011). The present article will use the structure of the internal
decision-making process outlined by Latané and Darley (1970),
while considering how context and previous experiences impact
this process at each step. We argue that alcohol intoxication
inhibits bystander behavior because it creates barriers at multiple
steps of the decision-making model. Before reviewing data in
support of this view, it is important first to establish how acute
alcohol intoxication is theorized to influence decision-making and
behavior.
Alcohol Myopia Theory
Alcohol myopia theory (AMT; Steele & Josephs, 1990) is one of
the most well-accepted explanations of the effects of alcohol
intoxication on behavior. AMT purports that the pharmacological
properties of alcohol impair attentional capacity and processes.
Specifically, this alcohol-related impairment has a narrowing ef-
fect on attention, also known as “alcohol myopia,” which restricts
the range of internal and external cues individuals perceive and
process. By impairing attentional capacity, intoxication causes
individuals to allocate or shift their limited attentional focus to the
more salient, immediate, and easier to process cues in the envi-
ronment. As a consequence, the full meaning of less salient cues is
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
640 LEONE, HAIKALIS, PARROTT, AND DILILLO
never fully processed, or possibly even perceived. Importantly, the
content of the cues that are processed is posited to influence
subsequent behavior.
To help illustrate AMT, attention may be thought of as a
spotlight. When individuals are sober, the spotlight is wide and
focuses on both salient and less salient cues. However, when an
individual is intoxicated, the spotlight is narrow and focuses only
on the most immediate and salient cues in the environment, to the
exclusion of less salient cues. For example, in SV situations,
alcohol would inhibit intervention in cases in which myopia nar-
rows attention onto peers who condone forceful sexual behavior
(e.g., salient and immediate cue) rather than onto the sexual
disinterest or discomfort of the female (e.g., less salient and less
immediate cue). In other words, alcohol’s effect on behavior is
mediated by narrowed attentional capacity. Research in support of
the AMT is well documented, most pertinently in risky sexual
behavior and aggression (for a review, see Giancola, Josephs,
Parrott, & Duke, 2010).
Bystander Decision-Making: Alcohol as a Barrier
to Intervention
At each step of the decision-making model, common barriers are
reviewed, followed by a discussion on how alcohol intoxication
may facilitate additional barriers at each step (see Table 1).
Step 1. The first step toward bystander intervention is noticing
an event. Bystanders may fail to notice SV behaviors for several
reasons, such as not looking in the direction of sexual risk behav-
iors or due to self-focus or sensory distractions (Burn, 2009;
Latané & Darley, 1970). Alcohol increases susceptibility to dis-
traction or mind-wandering, lessening one’s ability to attend to
information, particularly when it is not especially salient, and
simultaneously mitigates the ability to notice one’s mind-
wandering (Sayette, Reichle, & Schooler, 2009). In other words,
inebriated individuals are more likely to “zone out,” and not realize
it, as compared with their sober counterparts. This likelihood that
intoxicated bystanders will be distracted from noticing a risky
event is particularly concerning, given that indicators of an un-
wanted sexual advance are often subtle (e.g., averted eye contact,
paralyzed reactions, and polite resistance).
Next, inattentional blindness, a phenomenon in which individ-
uals fail to detect salient unexpected objects in the field of vision
(Mack & Rock, 1998; Simons & Chabris, 1999), helps explain
why some individuals do not notice risk cues for nearby SV. For
example, experimental research that examines this phenomenon
has demonstrated approximately half of participants failed to no-
tice a woman in a gorilla suit walking across a basketball game
they were tasked with monitoring (Simons & Chabris, 1999). SV,
particularly less severe forms, may similarly go unnoticed by
bystanders whose focus is narrowed due to alcohol intoxication.
Recent laboratory-based research suggests alcohol intoxication
increases the likelihood of inattentional blindness due to its myo-
pic effects, which makes it difficult for individuals to allocate their
attention to information outside a directed goal (Clifasefi, Ta-
karangi, & Bergman, 2006). In most drinking environments, these
goals (e.g., focusing on one’s own conversation) may not routinely
encompass risk factors for SV experienced by others. Such find-
ings suggest that alcohol-facilitated inattentional blindness de-
creases the likelihood that intoxicated bystanders notice seemingly
obvious SV behavior.
Step 2. The second step toward intervention is identifying
the situation as intervention appropriate, or high in SV risk
(Burn, 2009). Bystanders can fail to identify a situation as
intervention appropriate due to ambiguity or ignorance. Here, it
is important to recognize that SV exists on a continuum that
ranges from heinous behaviors (e.g., rape) to actions much more
commonly accepted in society (e.g., unwanted sexual com-
ments; Stout & McPhail, 1998), which can escalate into more
severe behaviors. Not surprisingly, bystanders are more likely
to intervene in “dangerous emergencies” because they are less
ambiguous and induce higher levels of arousal than lower level
Table 1
Proximal Effects of Alcohol on Bystander Decision-Making
Step Barrier Influences Effects of acute alcohol intoxication
1. Notice an event Failure to notice Self-focus Increases susceptibility to distractions or mind-wandering
(Sayette et al., 2009)Sensory distractions
Inattentional blindness Exacerbates inattentional blindness (Clifasefi et al., 2006)
2. Interpret as intervention
appropriate
Failure to identify
situation as a risk
Ambiguity
Ignorance
Cue misinterpretation (Abbey et al., 2005; Farris et al.,
2010)
Failure to identify danger cues (Testa, Livingston, &
Collins, 2000)
Delay in identifying inappropriate sexual behavior (Gross
et al., 2001; Marx et al., 1997)
3. Take responsibility Failure to take
responsibility
Diffusion of responsibility
Attributions of victims’
worthiness
Narrow bystanders’ attentional focus toward other
potential intervenors
Narrow bystanders’ attentional focus toward victim’s
“worthiness” and “responsibility”
4. Decide how to help Failure to intervene due to
uncertainty or skills
deficit
Lack of skills Impairs high-order cognitive functioning, including
working memory, problem solving, planning, set
shifting, psychomotor speed, and response inhibition
(Curtin & Fairchild, 2003; Giancola, 2000) needed to
execute skills
5. Choose to act Failure to act due to
audience inhibition
Social norms Narrow bystander’s attention on salient peer norms
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
641BYSTANDER ALCOHOL INTOXICATION
transgressions (Fischer et al., 2011). Situations with greater
ambiguity impede bystanders’ ability to recognize risk. This is
concerning because bystanders are more likely to witness pre-
assault SV behaviors (e.g., inappropriate sexual conversations),
which are more likely to be viewed as ambiguous and thus less
likely to be identified as intervention appropriate, than they are
to witness ongoing acts of SV (Burn, 2009).
Interpreting complex situational and interpersonal cues is not an
easy task, and alcohol intoxication further compromises this pro-
cess. Indeed, intoxication distorts men’s ability to interpret a
woman’s affective cues by increasing their likelihood of interpret-
ing her behavior as sexually suggestive (Abbey, Zawacki, & Buck,
2005; Farris, Treat, & Viken, 2010). Similarly, intoxicated men,
relative to sober men, take longer to identify a male’s inappropriate
sexual behavior toward a female (Gross, Bennett, Sloan, Marx, &
Juergens, 2001; Marx, Gross, & Juergens, 1997), because its
ambiguity does not attract the drinker’s myopic or narrowed at-
tention. In other words, alcohol can distort or delay bystanders’
understanding of SV risk. Alcohol-induced myopia can also impair
women’s abilities to recognize danger cues that may subsequently
lead to SV (Parks, Levonyan-Radloff, Dearing, Hequembourg, &
Testa, 2016; Testa, Livingston, & Collins, 2000). Though a key
goal of bystander training programs is to increase awareness that
less severe forms of SV can escalate to more severe violence, the
influence of alcohol exacerbates ambiguity in sexual risk situa-
tions, thereby impeding intervention.
Step 3. Assuming that a bystander recognizes risk and sees
the situation as meriting intervention, the third step toward
intervention is taking responsibility to intervene. This step is
often obstructed by diffusion of responsibility, or the belief that
the onus of helping is shared among all bystanders. Extant
literature unequivocally demonstrates that the presence of oth-
ers is a robust situational cue that prevents bystanders from
intervening in nondangerous emergencies (for a review, see
Fischer et al., 2011). Failure to take responsibility is also
affected by beliefs about a victim’s “worthiness” (Burn, 2009).
Some men report that women are responsible for their own
safety, and thus do not feel responsible for intervening in SV
(Koelsch, Brown, & Boisen, 2012). Further, greater victim
blame is often placed on women dressed provocatively (What-
ley, 2005; Workman & Freeburn, 1999) or who have consumed
alcohol (for a review, see Grubb & Turner, 2012).
Intoxication can exacerbate the diffusion of responsibility for
intervening by narrowing bystanders’ attentional focus toward the
presence of others who conceivably could help, thereby thwarting
intervention. Alcohol can also facilitate attention toward perceived
norms regarding sexual behavior (a salient cue), such as the
victim’s “worthiness,” rather than toward risk for SV. For exam-
ple, if a victim is drinking alcohol, intoxicated bystanders are
likely to focus on the victim’s “responsibility” for the situation,
thereby inhibiting intervention behavior. Conversely, if prointer-
vention contextual cues are more salient than others’ mere pres-
ence or negative perceptions of victim’s “worthiness,” alcohol will
facilitate prosocial bystander behaviors via this attentional mech-
anism. For example, if the victim is a friend, the relationship to the
bystander may be more salient than the presence of others. Thus,
alcohol intoxication can conceivably increase the likelihood of
prosocial intervention behavior.
Step 4. The fourth step toward intervention is deciding how to
help, which may be impaired by a bystander’s a skills deficit or
uncertainty about what strategy to use (Burn, 2009). This barrier
has been identified as one of the most prevalent in SV intervention
(Bennett et al., 2014). Although training programs aim to prepare
bystanders to intervene by building behavioral skills (e.g., using
distraction) and increasing confidence necessary to intervene (Pot-
ter, Stapleton, & Moynihan, 2008), alcohol intoxication presum-
ably undermines bystanders’ ability to execute decision-making
skills. It is well established that acute alcohol intoxication impairs
high-order cognitive functioning, including working memory,
problem solving, planning, set shifting, psychomotor speed, and
response inhibition (Curtin & Fairchild, 2003; Giancola, 2000). As
such, intoxicated bystanders who would otherwise have the skills
and confidence to intervene are less able to effectively implement
a plan of action due to cognitive impairments induced by alcohol.
For example, individuals may not be able to implement a complex
plan to help due to impairments in working memory that prevent
them from holding parts of their plan in working memory long
enough to implement them. Moreover, intoxication may make it
difficult for bystanders to shift intervention strategies in response
to changes in or escalation of a perpetrator’s tactics.
Step 5. At the final step, choosing to act, the main factor that
may stymie intervention behavior is audience inhibition, or the fear
of negative evaluation from others (Burn, 2009; Latané & Nida,
1981). This barrier is likely more common among men due to
gender norms that prevent men from intruding in another man’s
“sexual conquest” (Burn, 2009; Carlson, 2008; Fabiano et al.,
2003), or the fear of losing respect from male peers if they
intervene (Carlson, 2008). Further, men exposed to male confed-
erates who promoted misogynistic, relative to ambiguous, peer
norms were significantly less likely to intervene in SV (Leone,
Parrott, & Swartout, 2017). Though the power of peer influence is
often identified as a barrier to intervention, social context can be
harnessed to increase engagement in prosocial behavior. In cases
of interpersonal violence that require multiple interveners, individ-
uals are more likely to engage in prosocial behavior when they first
see others intervene (Christy & Voigt, 1994).
We believe that these social context effects are exacerbated by
the myopic effects of alcohol, which focus a bystander’s attention
onto highly salient norms and the presence of others rather than SV
or its consequences. Although the combined effects of alcohol and
audience inhibition have yet to be studied, research that examines
general aggression indicates intoxicated, compared with sober,
participants administered higher levels of electric shocks to an
ostensible opponent within an experimental task when they were
observed by peer-confederates who applied social pressure (Taylor
& Sears, 1988). In this study, the myopic effects of alcohol likely
facilitated participants’ attention to aggression-promoting peer
norms and, as a result, facilitated aggressive behavior.
Alternatively, in a situation in which peer norms that condemn
SV are most salient, or others engage in helping behavior first, the
narrowed attentional capacity of the inebriate will be focused more
so on those prointervention cues, leaving little working memory
space to focus on less salient, and potentially intervention-
inhibiting, cues. As a result, intoxicated bystanders should be more
likely to intervene than nonintoxicated bystanders in SV situations.
Thus, this barrier may be attenuated by prosocial peers, particu-
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
642 LEONE, HAIKALIS, PARROTT, AND DILILLO
larly for intoxicated persons who are likely to be myopically
focused on that norm.
Limitations and Recommendations of Current
Research and Programming Efforts
Measurement of Opportunities and Behavior
Although bystander programs are informed by basic research
about helping behavior, little is known about how often bystanders
have an opportunity to intervene. Victims of SV have reported that
someone “saw what happened to (them)” in 18% of sexual assaults
(Hamby, Weber, Grych, & Banyard, 2016). However, this rate is
likely higher after accounting for those who witness preassault
behaviors (Burn, 2009). It is also unknown whether bystanders’
likelihood of witnessing opportunities to intervene in preassault or
assault behaviors is influenced by the presence of alcohol (e.g.,
setting involving drinking and bystander intoxication). Though
much SV occurs in private settings without bystander witnesses,
heavy drinkers may be more likely to witness SV because they are
often present in the public places SV is likely to occur (e.g., bars
and parties; Thompson & Cracco, 2008). Relatedly, bystander
presence, alone, does not equate to bystander opportunity to inter-
vene. For example, some situations involve high risk for potential
backlash effects of bystander behavior (e.g., physical harm to
bystander and “ruining the party”), which would make it difficult
or dangerous for bystanders to intervene when they witness sexual
risk cues. Given that alcohol use is a contributing cause of aggres-
sion (Parrott & Eckhardt, 2017), it is likely that the potential for
backlash effects is greater when bystanders and those with whom
they are intervening are intoxicated.
It is essential that future efforts to examine the effect of alcohol
on bystander behavior move beyond attitudes and intent to exam-
ine bystander behaviors. Further, it is not known whether skills
learned in bystander training programs are effectively imple-
mented by intoxicated bystanders. As such, behavioral outcomes
should be assessed in a way that allows researchers to parse out
training effects among intoxicated versus sober bystanders as well
as within alcohol versus nonalcohol contexts.
Measurement Method
When bystander behaviors are assessed, studies have relied
largely on self-report methods to measure primary outcomes (i.e.,
efforts to intervene). Perhaps this is because no validated measure
of bystander behavior existed until recently (see Banyard, Moyni-
han, Cares, & Warner, 2014). However, responses to these ques-
tions are likely susceptible to overreporting of bystander behaviors
by participants who want to appear to have “done the right thing.”
Biased reporting may be especially common among individuals
who underwent bystander training and therefore know the “right”
answers to bystander questions. Moreover, simply participating in
bystander training can increase individuals’ awareness of the be-
haviors that they already perform, potentially inflating differences
between those who have and have not completed training. Addi-
tionally, because respondents cannot report about opportunities to
intervene that they did not notice, these measures cannot assess the
total number of opportunities an individual has to intervene in SV.
Measures are needed to elucidate whether low rates of bystander
behavior are a result of a lack of opportunity or barriers in
intervention.
Multiple methods should be used to assess the proximal effects
of alcohol on SV intervention to combat the aforementioned lim-
itations of existing research, as well as to examine the full range of
bystander decision-making. There is an urgent need for researchers
to modify self-report measures (Banyard et al., 2014; Burn, 2009)
to examine intoxicated SV intervention. Specifically, new instru-
ments or adaptations of current instruments are needed to capture
the effects of distal and proximal alcohol use on opportunity to
intervene, and effectiveness of those interventions. For example,
intensive longitudinal methods, such as daily diary and ecological
momentary assessment, would be fruitful in identifying how often
intoxicated bystanders notice SV, whether they intervene, and
what barriers may have prevented them from engaging in prosocial
behavior. Daily dairy designs are more appropriate when assessing
behavior (e.g., alcohol use and SV intervention), whereas ecolog-
ical momentary assessment, which aims to minimize recall bias
and maximize ecological validity by repeatedly sampling partici-
pants in real time (Shiffman, Stone, & Hufford, 2009), is advan-
tageous to assess intrapersonal experiences (e.g., mood states).
This approach would be especially useful in examining percep-
tions of in-the-moment barriers to intervention while bystanders
are consuming alcohol.
The limitations of self-report could be addressed via comple-
mentary laboratory-based methods that are less susceptible to
reporting biases and afford experimental control over situational
predictors of SV intervention. Bystander analogue tasks (Leone et
al., 2017; Parrott et al., 2012) and virtual reality paradigms
(Jouriles, Kleinsasser, Rosenfield, & McDonald, 2016) allow re-
searchers to observe and quantify bystander behaviors directly.
Another benefit of these techniques, as well as written vignettes for
assessing bystander behaviors (Davis et al., 2012), is the ability to
manipulate various aspects of a given sexual risk situation (e.g.,
victim characteristics) and to examine the unique and interactive
effects of intoxication and bystander training on observable be-
havior. Because each laboratory paradigm has distinct advantages
and disadvantages, the strongest conclusions will be possible when
lab-based proxies are implemented in conjunction with self-report
measures.
Analytic Approach
Given the low base rates of SV intervention (Hamby et al.,
2016), it is critical that researchers use appropriate analytic tech-
niques to model these data accurately. Experimental and survey-
based research indicate �72–75% of bystanders do not engage in
SV intervention (Leone et al., 2017; Moschella, Bennett, & Ban-
yard, 2016), resulting in zero-inflated outcome data. Techniques to
normalize skewed data (e.g., square root transformation) are often
ineffective because a large proportion of the sample does not
intervene. Count-based analytic methods based on the Poisson
family are recommended, in line with recent calls to apply these
methods to SV perpetration data (for a review, see Swartout,
Thompson, Koss, & Su, 2015).
Proposed Research Agenda
Research examining SV intervention has grown considerably in
the past 15 years despite the absence of a theoretical framework for
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
643BYSTANDER ALCOHOL INTOXICATION
understanding the proximal effects of alcohol on bystander behav-
ior. Our integrative framework directly addresses this need and
provides a blueprint for future research to address the identified
gaps in the extant literature. In the following text, we review the
most critical gaps to consider in this work.
Examine Alcohol as a Barrier to Intervention
Research is needed to elucidate the extent to which intoxicated
bystanders witness behaviors along the SV continuum. Studies should
focus on capturing both the distal effects of heavy drinking patterns
and the proximal effects of acute alcohol use on bystanders’ oppor-
tunity to intervene, identification of SV behavior as high risk, and
prosocial behavior. In this work, it is critical to use methods that can
overcome the limitations of self-report, which include potential inac-
curacy in bystanders’ identification and interpretation of SV.
Research is also needed to understand the social-ecological context
in which the pharmacological effects of alcohol impair bystander
behavior. A variety of factors, including peer groups, cultures and
subcultures, fraternity or athletic team norms, social status, or neigh-
borhoods, may all impact this relation, and these factors need to be
considered to better understand the complexity of bystander decision-
making. For example, research indicates alcohol outlet density is
related to assault rates in unstable, poor, minority, and rural middle-
income areas (Gruenewald, Freisthler, Remer, LaScala, & Treno,
2006). Yet, nothing is known about how alcohol outlet density, or
other social-ecological factors, influence bystander decision-making.
Similarly, environmental factors common in social drinking contexts
(e.g., dark lighting and loud music) may thwart one’s ability to notice
or intervene in SV, and studies are needed to understand how by-
stander intoxication exacerbates these effects.
It is crucial to determine if and how diffusion of responsibility is
exacerbated under alcohol intoxication. A variety of contextual fac-
tors need to be considered when determining how diffusion of re-
sponsibility may come to fruition. For example, bystanders report
more responsibility to help if the victim is a friend, rather than a
stranger (Katz, Pazienza, Olin, & Rich, 2015). Thus, intoxicated
individuals, compared with sober individuals, conceivably focus at-
tention toward their friends in distress, rather than other potential
interveners. Research is also needed to determine if alcohol narrows
intoxicated bystanders’ attention on a victim worthiness, and if this is
influenced by individual-level characteristics (e.g., hostile sexism).
Little is known about the proximal effects of alcohol on the exe-
cution of behavioral skills to prevent SV. It is particularly important
to identify whether some skills (e.g., distraction) are more susceptible
to the impairing effects of alcohol than others (e.g., enlisting a friend’s
help). Methods of intervention that require multiple or complex skills
would be difficult for intoxicated bystanders to implement. Findings
that alcohol is also associated with increased physical aggression
(Giancola et al., 2010) suggest that bystanders who are intoxicated
could become overzealous in their attempts to intervene, potentially
leading to aggressive altercations.
Empirical evidence is needed to identify how audience inhibi-
tion serves as a barrier across various situational contexts. Risky
environments (e.g., fraternity parties) and social networks (e.g.,
athletic teams), which have higher rates of alcohol-related SV
(Foubert, Newberry, & Tatum, 2007), should be examined to
determine how the myopic effects of alcohol focus bystander’s
attention onto salient SV risk cues or peer group norms minimizing
SV risk in these contexts. Relatedly, understanding the interactive
effects of individual- and situational-level factors on intoxicated
bystander’s decision-making is needed.
Work is also needed to identify the specific components of by-
stander training programs that are most responsible for change. Dis-
mantling studies would allow for investigation into the unique effects
of alcohol-specific training related to each step of Latané and Darley’s
(1970) decision-making model (e.g., noticing risk in party settings).
Further, the outcomes measured in training programs’ efficacy studies
should be specific; rather than examining increases in bystander
behavior broadly, it will be important to examine intervention in
drinking settings and while intoxicated to determine if the effects of
training are maintained under these conditions.
It is vital that researchers examine gender differences across the
decision-making model. Research suggests men are more likely to
exhibit helping behaviors than women (Eagly & Steffen, 1986);
however, this work may not apply to SV intervention (Brown,
Banyard, & Moynihan, 2014). Indeed, barriers to intervention and
mechanisms may vary by gender (Brown et al., 2014). For exam-
ple, men report more barriers than women (Burn, 2009) and fewer
bystander behaviors (Banyard & Moynihan, 2011). It is crucial to
identify how barriers and intervention behaviors differ between
men and women, and whether alcohol use explains any differ-
ences. Given these gaps in the literature, it is not surprising that
research on SV intervention among nongender-conforming indi-
viduals is nonexistent and merits investigation.
The intersection of social identities such as race/ethnicity, gen-
der, socioeconomic status, and sexuality (see Cole, 2009, for
review) of the victim, perpetrator, and bystander should be con-
sidered to examine how privilege and oppression impact interven-
tion. For example, students of color could not feel safe intervening
in SV on predominantly White campuses without peer support
(Brown et al., 2014). Alcohol could impact this effect in a variety
of ways depending on the salience of cues in the environment. For
example, alcohol could lead to either mitigated safety concerns and
increased “liquid courage,” or increased anxiety about safety or
peers’ reactions to helping behavior and decreased likelihood of
intervening. The effects of acute alcohol intoxication on anxiety
depend on the temporal relationship between alcohol consumption
and exposure to anxiogenic cues (Sayette, 1993). For example, if
an individual has safety concerns before attending a party and
consuming alcohol, these concerns are likely exacerbated and
inhibit intervention. However, if safety concerns arise following
intoxication, they may be overlooked. Research aimed at increas-
ing SV intervention should investigate if, and under what condi-
tions (e.g., minority status in a situation), alcohol intoxication
leads to increased “liquid courage” or “liquid fear” in the face of
bystander opportunity. Similarly, the combined effects of racism
and sexism may influence attributions of “victim worthiness.”
Given evidence that exposure to alcohol cues primes racial bias
(Stepanova, Bartholow, Saults, & Friedman, 2012), it is possible
that alcohol intoxication and/or contexts inhibit intervention by
eliciting biased attributions of victim worthiness.
SV intervention research has overwhelmingly focused on col-
lege undergraduates (Carlson, 2008) or students in their first se-
mester (Bennett et al., 2014). Thus, research is needed across all
years in college, as well as with high school and young adult
community samples. Indeed, the majority of youth have consumed
alcohol by grade nine and one third of high school students report
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
644 LEONE, HAIKALIS, PARROTT, AND DILILLO
consuming alcohol in the previous 30 days (Centers for Disease
Control and Prevention, 2016), and research indicates comparable
rates of SV (Finkelhor, Shattuck, Turner, & Hamby, 2014).
Can Proximal Alcohol Use Promote Intervention?
Although we argue that alcohol predominately inhibits SV inter-
vention, as noted earlier, AMT makes the counterintuitive prediction
that alcohol can also increase prosocial behavior in situations in which
prointervention cues (e.g., support of peers) are more salient than
barrier-related cues. In this manner, it is possible to harness alcohol’s
myopic effects to promote prosocial bystander behaviors. Thus, in-
terventions aimed at enhancing the salience and immediacy of proin-
tervention cues could prompt intoxicated persons to intervene. Re-
search indicates intoxicated individuals were faster, but not more
likely, to come to the aid of an experimenter who dropped items (van
Bommel, van Prooijen, Elffers, & Van Lange, 2016), likely because
individuals have less attentional capacity to focus on both the benefits
and costs of helping than sober individuals. Research is needed to
determine how alcohol can help attenuate the bystander effect, and
what cues (e.g., consequences of not intervening) are most effective to
increase SV intervention.
Recommendations for Bystander
Training Programming
As reviewed, few findings address the role of alcohol consump-
tion in SV intervention, and thus, our goal is to provide recom-
mendations that should be considered in developing theory-
informed prevention strategies before evidence exists. Until an
evidence base exists, which can support this framework, any
modifications to current efforts should be implemented with cau-
tion and ongoing evaluation.
First, bystander training programs should attend to how alcohol-
intoxication impacts bystanders themselves, rather than just vic-
tims and perpetrators of SV. Specifically, efforts are needed to (a)
reduce heavy drinking, (b) educate bystanders on the potential
impairing effects of alcohol on intervention, and (c) train bystand-
ers how to be effective interveners when drinking. Training pro-
grams should promote awareness of the influence of alcohol and
encourage problem-solving strategies to compensate for potential
alcohol-specific barriers and maximize the likelihood that proxi-
mal alcohol use can actually promote SV intervention.
Reflecting the notion that bystander training should target outer
levels of the social ecology (Banyard, 2011), social marketing
campaigns have also emerged as a means of disseminating the
bystander message more widely (Potter & Stapleton, 2012; Bor-
sky, McDonnell, Turner, & Rimal, 2016). Exposure to these cam-
paigns is associated with more positive attitudes toward bystander
behavior and self-reported increases in SV intervention (Potter &
Stapleton, 2012). These campaigns allow for easy incorporation of
information about alcohol’s potential impact on bystander behav-
ior. For example, a campaign depicting a split-screen sexual risk
scenario with an intoxicated and a sober bystander on each side of
the screen could raise awareness about the potential for alcohol to
inhibit one’s ability to effectively intervene to help a friend.
Next, laws and policies at the community level should be closely
examined and altered to reduce heavy drinking and encourage
bystander behavior. If, in fact, sober individuals encounter fewer
barriers to intervention than intoxicated individuals, evidence-
based efforts to reduce heavy alcohol use—including college bans
or limits on alcohol or restricting alcohol outlet density (for a
review, see Toomey, Lenk, & Wagenaar, 2007)—may in turn
increase SV intervention. Similarly, laws that encourage and pro-
mote SV intervention should be considered, including those that
require witnesses to inform law enforcement of crimes (see Swan,
2015) and those that protect reporters of crimes from punishment
for underage alcohol use.
The next wave of prevention programming should move beyond
college campuses and consider other “hotspots” for SV where
bystanders are often present (e.g., alcohol-serving establishments,
house parties, and military bases). For example, bars and clubs
play an important role in bystander decision-making by creating a
safe environment for patrons to engage in intervention behavior.
Environmental antecedents of SV such as misogynistic music or
sexual décor (Graham, 2009) may set SV norms that become
salient among intoxicated patrons and thwart intervention. Amend-
ing such contextual cues will help to transform local SV norms
and, if replaced with prosocial or feminist messages, will help to
ultimately promote SV intervention. Moreover, because bars and
parties are not the only places SV is likely to be witnessed,
interventions could also target peer groups that are a greater risk
for witnessing SV (e.g., fraternities, student-athletes, and attendees
at music festivals). These groups could be targeted in various
ways, including through social media via targeted messages that
aim to change norms and behaviors. Ultimately, addressing the
role of alcohol use on SV intervention at multiple levels of the
social ecology will have the greatest likelihood of increasing
bystander behavior and helping to reduce rates of SV.
References
Abbey, A. (2002). Alcohol-related sexual assault: A common problem
among college students. Journal of Studies on Alcohol, 14, 118 –128.
http://dx.doi.org/10.15288/jsas.2002.s14.118
Abbey, A., Zawacki, T., & Buck, P. O. (2005). The effects of past sexual
assault perpetration and alcohol consumption on men’s reactions to
women’s mixed signals. Journal of Social and Clinical Psychology, 24,
129 –155. http://dx.doi.org/10.1521/jscp.24.2.129.62273
Abbey, A., Zawacki, T., Buck, P. O., Testa, M., Parks, K., Norris, J., . . .
Martell, J. (2002). How does alcohol contribute to sexual assault?
Explanations from laboratory and survey data. Alcoholism: Clinical and
Experimental Research, 26, 575–581. http://dx.doi.org/10.1111/j.1530-
0277.2002.tb02576.x
Banyard, V. L. (2011). Who will help prevent sexual violence: Creating an
ecological model of bystander intervention. Psychology of Violence, 1,
216 –229. http://dx.doi.org/10.1037/a0023739
Banyard, V. L., & Moynihan, M. M. (2011). Variation in bystander
behavior related to sexual and intimate partner violence prevention:
Correlates in a sample of college students. Psychology of Violence, 1,
287–301. http://dx.doi.org/10.1037/a0023544
Banyard, V. L., Moynihan, M. M., Cares, A. C., & Warner, R. (2014). How
do we know if it works? Measuring outcomes in bystander-focused
abuse prevention on campuses. Psychology of Violence, 4, 101–115.
http://dx.doi.org/10.1037/a0033470
Banyard, V. L., Plante, E. G., & Moynihan, M. M. (2004). Bystander
education: Bringing a broader community perspective to sexual violence
prevention. Journal of Community Psychology, 32, 61–79. http://dx.doi
.org/10.1002/jcop.10078
Bennett, S., Banyard, V. L., & Garnhart, L. (2014). To act or not to act, that
is the question? Barriers and facilitators of bystander intervention. Jour-
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
645BYSTANDER ALCOHOL INTOXICATION
http://dx.doi.org/10.15288/jsas.2002.s14.118
http://dx.doi.org/10.1521/jscp.24.2.129.62273
http://dx.doi.org/10.1111/j.1530-0277.2002.tb02576.x
http://dx.doi.org/10.1111/j.1530-0277.2002.tb02576.x
http://dx.doi.org/10.1037/a0023739
http://dx.doi.org/10.1037/a0023544
http://dx.doi.org/10.1037/a0033470
http://dx.doi.org/10.1002/jcop.10078
http://dx.doi.org/10.1002/jcop.10078
nal of Interpersonal Violence, 29, 476 – 496. http://dx.doi.org/10.1177/
0886260513505210
Borsky, A. E., McDonnell, K., Turner, M. M., & Rimal, R. (2016). Raising
a red flag on dating violence: Evaluation of a low-resource, college-
based bystander behavior intervention program. Journal of Interper-
sonal Violence. Advance online publication. http://dx.doi.org/10.1177/
0886260516635322
Brown, A. L., Banyard, V. L., & Moynihan, M. M. (2014). College
students as helpful bystanders against SV: Gender, race, and year in
college moderate the impact of perceived peer norms. Psychology of
Women Quarterly, 38, 350 –362. http://dx.doi.org/10.1177/0361684314
526855
Burn, S. M. (2009). A situational model of sexual assault prevention
through bystander intervention. Sex Roles, 60, 779 –792. http://dx.doi
.org/10.1007/s11199-008-9581-5
Carlson, M. (2008). I’d rather go along and be considered a man: Mascu-
linity and bystander intervention. The Journal of Men’s Studies, 16,
3–17. http://dx.doi.org/10.3149/jms.1601.3
Centers for Disease Control and Prevention. (2016). Youth risk behavior
surveillance—United States, 2015. Retrieved from https://www.cdc.gov/
healthyyouth/data/yrbs/pdf/2015/ss6506_updated
Christy, C. A., & Voigt, H. (1994). Bystander responses to public episodes
of child abuse. Journal of Applied Social Psychology, 24, 824 – 847.
http://dx.doi.org/10.1111/j.1559-1816.1994.tb00614.x
Clifasefi, S. L., Takarangi, M. K., & Bergman, J. S. (2006). Blind drunk:
The effects of alcohol on inattentional blindness. Applied Cognitive
Psychology, 20, 697–704. http://dx.doi.org/10.1002/acp.1222
Coker, A. L., Fisher, B. S., Bush, H. M., Swan, S. C., Williams, C. M.,
Clear, E. R., & DeGue, S. (2015). Evaluation of the Green Dot bystander
intervention to reduce interpersonal violence among college students
across three campuses. Violence Against Women, 21, 1507–1527. http://
dx.doi.org/10.1177/1077801214545284
Cole, E. R. (2009). Intersectionality and research in psychology. American
Psychologist, 64, 170 –180. http://dx.doi.org/10.1037/a0014564
Curtin, J. J., & Fairchild, B. A. (2003). Alcohol and cognitive control:
Implications for regulation of behavior during response conflict. Journal
of Abnormal Psychology, 112, 424 – 436. http://dx.doi.org/10.1037/
0021-843X.112.3.424
Davis, K. C., Schraufnagel, T. J., Jacques-Tiura, A. J., Norris, J., George,
W. H., & Kiekel, P. A. (2012). Childhood sexual abuse and acute alcohol
effects on men’s sexual aggression intentions. Psychology of Violence, 2,
179 –193. http://dx.doi.org/10.1037/a0027185
DeGue, S., Valle, L. A., Holt, M. K., Massetti, G. M., Matjasko, J. L., &
Tharp, A. T. (2014). A systematic review of primary prevention strate-
gies for sexual violence perpetration. Aggression and Violent Behavior,
19, 346 –362. http://dx.doi.org/10.1016/j.avb.2014.05.004
Eagly, A. H., & Steffen, V. J. (1986). Gender and aggressive behavior: A
meta-analytic review of the social psychological literature. Psychologi-
cal Bulletin, 100, 309 –330. http://dx.doi.org/10.1037/0033-2909.100.3
.309
Fabiano, P. M., Perkins, H. W., Berkowitz, A., Linkenbach, J., & Stark, C.
(2003). Engaging men as social justice allies in ending violence against
women: Evidence for a social norms approach. Journal of American
College Health, 52, 105–112. http://dx.doi.org/10.1080/0744848030
9595732
Farris, C., Treat, T. A., & Viken, R. J. (2010). Alcohol alters men’s
perceptual and decisional processing of women’s sexual interest. Jour-
nal of Abnormal Psychology, 119, 427– 432. http://dx.doi.org/10.1037/
a0019343
Finkelhor, D., Shattuck, A., Turner, H. A., & Hamby, S. L. (2014). The
lifetime prevalence of child sexual abuse and sexual assault assessed in
late adolescence. Journal of Adolescent Health, 55, 329 –333. http://dx
.doi.org/10.1016/j.jadohealth.2013.12.026
Fischer, P., Krueger, J. I., Greitemeyer, T., Vogrincic, C., Kastenmüller,
A., Frey, D., . . . Kainbacher, M. (2011). The bystander-effect: A
meta-analytic review on bystander intervention in dangerous and non-
dangerous emergencies. Psychological Bulletin, 137, 517–537. http://dx
.doi.org/10.1037/a0023304
Fleming, W. M., & Wiersma-Mosley, J. D. (2015). The role of alcohol
consumption patterns and pro-social bystander interventions in contexts
of gender violence. Violence Against Women, 21, 1259 –1283. https://
doi.org/10.1177/1077801215592721
Foubert, J. D., Newberry, J. T., & Tatum, J. (2007). Behavior differences
seven months later: Effects of a rape prevention program. NASPA
Journal, 44, 728 –749.
Giancola, P. R. (2000). Executive functioning: A conceptual framework for
alcohol-related aggression. Experimental and Clinical Psychopharma-
cology, 8, 576 –597. http://dx.doi.org/10.1037/1064-1297.8.4.576
Giancola, P. R., Josephs, R. A., Parrott, D. J., & Duke, A. A. (2010).
Alcohol myopia revisited: Clarifying aggression and other acts of dis-
inhibition through a distorted lens. Perspectives on Psychological Sci-
ence, 5, 265–278. http://dx.doi.org/10.1177/1745691610369467
Graham, K. (2009). They fight because we let them! Applying a situational
crime prevention model to barroom violence. Drug and Alcohol Review,
28, 103–109. http://dx.doi.org/10.1111/j.1465-3362.2008.00038.x
Graham, K., Bernards, S., Wayne Osgood, D., Abbey, A., Parks, M.,
Flynn, A., . . . Wells, S. (2014). “Blurred lines?” Sexual aggression and
barroom culture. Alcoholism: Clinical and Experimental Research, 38,
1416 –1424. http://dx.doi.org/10.1111/acer.12356
Gross, A. M., Bennett, T., Sloan, L., Marx, B. P., & Juergens, J. (2001).
The impact of alcohol and alcohol expectancies on male perception of
female sexual arousal in a date rape analog. Experimental and Clinical
Psychopharmacology, 9, 380 –388. http://dx.doi.org/10.1037/1064-1297
.9.4.380
Grubb, A., & Turner, E. (2012). Attribution of blame in rape cases: A
review of the impact of rape myth acceptance, gender role conformity
and substance use on victim blaming. Aggression and Violent Behavior,
17, 443– 452. http://dx.doi.org/10.1016/j.avb.2012.06.002
Gruenewald, P. J., Freisthler, B., Remer, L., Lascala, E. A., & Treno, A.
(2006). Ecological models of alcohol outlets and violent assaults: Crime
potentials and geospatial analysis. Addiction, 101, 666 – 677. http://dx
.doi.org/10.1111/j.1360-0443.2006.01405.x
Hamby, S., Weber, M. C., Grych, J., & Banyard, V. (2016). What differ-
ence do bystanders make? The association of bystander involvement
with victim outcomes in a community sample. Psychology of Violence,
6, 91–102. http://dx.doi.org/10.1037/a0039073
Jouriles, E. N., Kleinsasser, A., Rosenfield, D., & McDonald, R. (2016).
Measuring bystander behavior to prevent SV: Moving beyond self-
reports. Psychology of Violence, 6, 73– 81. http://dx.doi.org/10.1037/
a0038230
Jouriles, E. N., McDonald, R., Rosenfield, D., Levy, N., Sargent, K.,
Caiozzo, C., & Grych, J. H. (2016). TakeCARE, a video bystander
program to help prevent sexual violence on college campuses: Results of
two randomized, controlled trials. Psychology of Violence, 6, 410 – 420.
http://dx.doi.org/10.1037/vio0000016
Katz, J., & Moore, J. (2013). Bystander education training for campus
sexual assault prevention: An initial meta-analysis. Violence and Vic-
tims, 28, 1054 –1067. http://dx.doi.org/10.1891/0886-6708.VV-D-12-
00113
Katz, J., Pazienza, R., Olin, R., & Rich, H. (2015). That’s what friends are
for bystander responses to friends or strangers at risk for party rape
victimization. Journal of Interpersonal Violence, 30, 2775–2792. http://
dx.doi.org/10.1177/0886260514554290
Koelsch, L. E., Brown, A. L., & Boisen, L. (2012). Bystander perceptions:
Implications for university sexual assault prevention programs. Violence
and Victims, 27, 563–579. http://dx.doi.org/10.1891/0886-6708.27.4
.563
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
646 LEONE, HAIKALIS, PARROTT, AND DILILLO
http://dx.doi.org/10.1177/0886260513505210
http://dx.doi.org/10.1177/0886260513505210
http://dx.doi.org/10.1177/0886260516635322
http://dx.doi.org/10.1177/0886260516635322
http://dx.doi.org/10.1177/0361684314526855
http://dx.doi.org/10.1177/0361684314526855
http://dx.doi.org/10.1007/s11199-008-9581-5
http://dx.doi.org/10.1007/s11199-008-9581-5
http://dx.doi.org/10.3149/jms.1601.3
https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/ss6506_updated
https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/ss6506_updated
http://dx.doi.org/10.1111/j.1559-1816.1994.tb00614.x
http://dx.doi.org/10.1002/acp.1222
http://dx.doi.org/10.1177/1077801214545284
http://dx.doi.org/10.1177/1077801214545284
http://dx.doi.org/10.1037/a0014564
http://dx.doi.org/10.1037/0021-843X.112.3.424
http://dx.doi.org/10.1037/0021-843X.112.3.424
http://dx.doi.org/10.1037/a0027185
http://dx.doi.org/10.1016/j.avb.2014.05.004
http://dx.doi.org/10.1037/0033-2909.100.3.309
http://dx.doi.org/10.1037/0033-2909.100.3.309
http://dx.doi.org/10.1080/07448480309595732
http://dx.doi.org/10.1080/07448480309595732
http://dx.doi.org/10.1037/a0019343
http://dx.doi.org/10.1037/a0019343
http://dx.doi.org/10.1016/j.jadohealth.2013.12.026
http://dx.doi.org/10.1016/j.jadohealth.2013.12.026
http://dx.doi.org/10.1037/a0023304
http://dx.doi.org/10.1037/a0023304
https://doi.org/10.1177/1077801215592721
https://doi.org/10.1177/1077801215592721
http://dx.doi.org/10.1037/1064-1297.8.4.576
http://dx.doi.org/10.1177/1745691610369467
http://dx.doi.org/10.1111/j.1465-3362.2008.00038.x
http://dx.doi.org/10.1111/acer.12356
http://dx.doi.org/10.1037/1064-1297.9.4.380
http://dx.doi.org/10.1037/1064-1297.9.4.380
http://dx.doi.org/10.1016/j.avb.2012.06.002
http://dx.doi.org/10.1111/j.1360-0443.2006.01405.x
http://dx.doi.org/10.1111/j.1360-0443.2006.01405.x
http://dx.doi.org/10.1037/a0039073
http://dx.doi.org/10.1037/a0038230
http://dx.doi.org/10.1037/a0038230
http://dx.doi.org/10.1037/vio0000016
http://dx.doi.org/10.1891/0886-6708.VV-D-12-00113
http://dx.doi.org/10.1891/0886-6708.VV-D-12-00113
http://dx.doi.org/10.1177/0886260514554290
http://dx.doi.org/10.1177/0886260514554290
http://dx.doi.org/10.1891/0886-6708.27.4.563
http://dx.doi.org/10.1891/0886-6708.27.4.563
Latané, B., & Darley, J. M. (1970). The unresponsive bystander: Why
doesn’t he help? New York, NY: Meredith Corporation.
Latané, B., & Nida, S. (1981). Ten years of research on group size and
helping. Psychological Bulletin, 89, 308 –324. http://dx.doi.org/10.1037/
0033-2909.89.2.308
Leone, R. M., Parrott, D. J., & Swartout, K. M. (2017). When is it “manly”
to intervene? Examining the effects of misogynistic peers on bystander
behavior for sexual aggression. Psychology of Violence, 7, 286 –295.
http://dx.doi.org/10.1037/vio0000055
Mack, A., & Rock, I. (1998). Inattentional blindness. Cambridge, MA:
MIT Press.
Marx, B. P., Gross, A. M., & Juergens, J. (1997). The effects of alcohol
consumption and expectancies in an experimental date rape analogue.
Journal of Psychopathology and Behavioral Assessment, 19, 281–302.
http://dx.doi.org/10.1007/BF02229022
Moschella, E. A., Bennett, S., & Banyard, V. L. (2016). Beyond the
situational model bystander action consequences to intervening in situ-
ations involving SV. Journal of Interpersonal Violence. Advance online
publication. http://dx.doi.org/10.1177/0886260516635319
Moynihan, M. M., Banyard, V. L., Cares, A. C., Potter, S. J., Williams,
L. M., & Stapleton, J. G. (2015). Encouraging responses in sexual and
relationship violence prevention: What program effects remain 1 year
later? Journal of Interpersonal Violence, 30, 110 –132. http://dx.doi.org/
10.1177/0886260514532719
Orchowski, L. M., Berkowitz, A., Boggis, J., & Oesterle, D. (2016).
Bystander intervention among college men: The role of alcohol and
correlates of sexual aggression. Journal of Interpersonal Violence, 31,
2824 –2846. http://dx.doi.org/10.1177/0886260515581904
Parks, K. A., Levonyan-Radloff, K., Dearing, R. L., Hequembourg, A., &
Testa, M. (2016). Development and validation of a video measure for
assessing women’s risk perception for alcohol-related sexual assault.
Psychology of Violence, 6, 573–585. http://dx.doi.org/10.1037/a0039846
Parrott, D. J., & Eckhardt, C. I. (2017). Effects of alcohol on human
aggression. Current Opinion in Psychology. Advance online publication.
http://dx.doi.org/10.1016/j.copsyc.2017.03.023
Parrott, D. J., Tharp, A. T., Swartout, K. M., Miller, C. A., Hall, G. C., &
George, W. H. (2012). Validity for an integrated laboratory analogue of
sexual aggression and bystander intervention. Aggressive Behavior, 38,
309 –321. http://dx.doi.org/10.1002/ab.21429
Potter, S. J., & Stapleton, J. G. (2012). Translating sexual assault preven-
tion from a college campus to a United States military installation:
Piloting the know-your-power bystander social marketing campaign.
Journal of Interpersonal Violence, 27, 1593–1621. http://dx.doi.org/10
.1177/0886260511425795
Potter, S. J. S., Stapleton, J. G., & Moynihan, M. M. (2008). Designing,
implementing, and evaluating a media campaign illustrating the by-
stander role. Journal of Prevention and Intervention in the Community,
36, 39 –55. http://dx.doi.org/10.1080/10852350802022308
Pugh, B., Ningard, H., Ven, T. V., & Butler, L. (2016). Victim ambiguity:
Bystander intervention and sexual assault in the college drinking scene.
Deviant Behavior, 37, 401– 418. http://dx.doi.org/10.1080/01639625
.2015.1026777
Salazar, L. F., Vivolo-Kantor, A., Hardin, J., & Berkowitz, A. (2014). A
web-based sexual violence bystander intervention for male college stu-
dents: Randomized controlled trial. Journal of Medical Internet Re-
search, 16, e203. http://dx.doi.org/10.2196/jmir.3426
Sayette, M. A. (1993). Heart rate as an index of stress response in alcohol
administration research: A critical review. Alcoholism: Clinical and
Experimental Research, 17, 802– 809. http://dx.doi.org/10.1111/j.1530-
0277.1993.tb00845.x
Sayette, M. A., Reichle, E. D., & Schooler, J. W. (2009). Lost in the sauce:
The effects of alcohol on mind wandering. Psychological Science, 20,
747–752. http://dx.doi.org/10.1111/j.1467-9280.2009.02351.x
Shiffman, S., Stone, A. A., & Hufford, M. R. (2009). Ecological momen-
tary assessment. Annual Review of Clinical Psychology, 4, 1–32.
Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained
inattentional blindness for dynamic events. Perception, 28, 1059 –1074.
http://dx.doi.org/10.1068/p281059
Söchting, I., Fairbrother, N., & Koch, W. J. (2004). Sexual assault of
women: Prevention efforts and risk factors. Violence Against Women,
10, 73–93. http://dx.doi.org/10.1177/1077801203255680
Steele, C. M., & Josephs, R. A. (1990). Alcohol myopia. Its prized and
dangerous effects. American Psychologist, 45, 921–933. http://dx.doi
.org/10.1037/0003-066X.45.8.921
Stepanova, E. V., Bartholow, B. D., Saults, J. S., & Friedman, R. S. (2012).
Alcohol-related cues promote automatic racial bias. Journal of Experi-
mental Social Psychology, 48, 905–911. http://dx.doi.org/10.1016/j.jesp
.2012.02.006
Storer, H. L., Casey, E., & Herrenkohl, T. (2016). Efficacy of bystander
programs to prevent dating abuse among youth and young adults: A
review of the literature. Trauma, Violence and Abuse, 17, 256 –269.
http://dx.doi.org/10.1177/1524838015584361
Stout, K. D., & McPhail, B. (1998). Confronting sexism and violence
against women: A challenge for social work. Upper Saddle River, NJ:
Prentice Hall.
Swan, S. L. (2015). Bystander interventions. Wisconsin Law Review, 2015,
975–1047. Retrieved from http://wisconsinlawreview.org/wp-content/
uploads/2015/12/1-Swan-Final
Swartout, K. M., Thompson, M. P., Koss, M. P., & Su, N. (2015). What is
the best way to analyze less frequent forms of violence? The case of
sexual aggression. Psychology of Violence, 5, 305–313. http://dx.doi
.org/10.1037/a0038316
Taylor, S. P., & Sears, J. D. (1988). The effects of alcohol and persuasive
social pressure on human physical aggression. Aggressive Behavior, 14,
237–243. http://dx.doi.org/10.1002/1098-2337(1988)14:4�237::AID-
AB2480140402�3.0.CO;2-G
Testa, M. (2002). The impact of men’s alcohol consumption on perpetra-
tion of sexual aggression. Clinical Psychology Review, 22, 1239 –1263.
http://dx.doi.org/10.1016/S0272-7358(02)00204-0
Testa, M., Livingston, J. A., & Collins, R. L. (2000). The role of women’s
alcohol consumption in evaluation of vulnerability to sexual aggression.
Experimental and Clinical Psychopharmacology, 8, 185–191. http://dx
.doi.org/10.1037/1064-1297.8.2.185
Thompson, E. H., & Cracco, E. J. (2008). Sexual aggression in bars: What
college men can normalize. The Journal of Men’s Studies, 16, 82–96.
http://dx.doi.org/10.3149/jms.1601.82
Toomey, T. L., Lenk, K. M., & Wagenaar, A. C. (2007). Environmental
policies to reduce college drinking: An update of research findings.
Journal of Studies on Alcohol and Drugs, 68, 208 –219. http://dx.doi
.org/10.15288/jsad.2007.68.208
van Bommel, M., van Prooijen, J. W., Elffers, H., & Van Lange, P. A.
(2016). Booze, bars, and bystander behavior: People who consumed
alcohol help faster in the presence of others. Frontiers in Psychology, 7,
128. http://dx.doi.org/10.3389/fpsyg.2016.00128
Whatley, M. A. (2005). The effect of participant sex, victim dress, and
traditional attitudes on causal judgments for marital rape and victims.
Journal of Family Violence, 20, 191–200. http://dx.doi.org/10.1007/
s10896-005-3655-8
Workman, J. E., & Freeburn, E. W. (1999). An examination of date rape,
victim dress, and perceiver variables within the context of attribution
theory. Sex Roles, 41, 261–278. http://dx.doi.org/10.1023/A:10188
58313267
Received February 6, 2017
Revision received July 6, 2017
Accepted August 9, 2017 �
T
hi
s
do
cu
m
en
t
is
co
py
ri
gh
te
d
by
th
e
A
m
er
ic
an
P
sy
ch
ol
og
ic
al
A
ss
oc
ia
ti
on
or
on
e
of
it
s
al
li
ed
pu
bl
is
he
rs
.
T
hi
s
ar
ti
cl
e
is
in
te
nd
ed
so
le
ly
fo
r
th
e
pe
rs
on
al
us
e
of
th
e
in
di
vi
du
al
us
er
an
d
is
no
t
to
be
di
ss
em
in
at
ed
br
oa
dl
y.
647BYSTANDER ALCOHOL INTOXICATION
http://dx.doi.org/10.1037/0033-2909.89.2.308
http://dx.doi.org/10.1037/0033-2909.89.2.308
http://dx.doi.org/10.1037/vio0000055
http://dx.doi.org/10.1007/BF02229022
http://dx.doi.org/10.1177/0886260516635319
http://dx.doi.org/10.1177/0886260514532719
http://dx.doi.org/10.1177/0886260514532719
http://dx.doi.org/10.1177/0886260515581904
http://dx.doi.org/10.1037/a0039846
http://dx.doi.org/10.1016/j.copsyc.2017.03.023
http://dx.doi.org/10.1002/ab.21429
http://dx.doi.org/10.1177/0886260511425795
http://dx.doi.org/10.1177/0886260511425795
http://dx.doi.org/10.1080/10852350802022308
http://dx.doi.org/10.1080/01639625.2015.1026777
http://dx.doi.org/10.1080/01639625.2015.1026777
http://dx.doi.org/10.2196/jmir.3426
http://dx.doi.org/10.1111/j.1530-0277.1993.tb00845.x
http://dx.doi.org/10.1111/j.1530-0277.1993.tb00845.x
http://dx.doi.org/10.1111/j.1467-9280.2009.02351.x
http://dx.doi.org/10.1068/p281059
http://dx.doi.org/10.1177/1077801203255680
http://dx.doi.org/10.1037/0003-066X.45.8.921
http://dx.doi.org/10.1037/0003-066X.45.8.921
http://dx.doi.org/10.1016/j.jesp.2012.02.006
http://dx.doi.org/10.1016/j.jesp.2012.02.006
http://dx.doi.org/10.1177/1524838015584361
http://wisconsinlawreview.org/wp-content/uploads/2015/12/1-Swan-Final
http://wisconsinlawreview.org/wp-content/uploads/2015/12/1-Swan-Final
http://dx.doi.org/10.1037/a0038316
http://dx.doi.org/10.1037/a0038316
http://dx.doi.org/10.1002/1098-2337%281988%2914:4%3C237::AID-AB2480140402%3E3.0.CO;2-G
http://dx.doi.org/10.1002/1098-2337%281988%2914:4%3C237::AID-AB2480140402%3E3.0.CO;2-G
http://dx.doi.org/10.1016/S0272-7358%2802%2900204-0
http://dx.doi.org/10.1037/1064-1297.8.2.185
http://dx.doi.org/10.1037/1064-1297.8.2.185
http://dx.doi.org/10.3149/jms.1601.82
http://dx.doi.org/10.15288/jsad.2007.68.208
http://dx.doi.org/10.15288/jsad.2007.68.208
http://dx.doi.org/10.3389/fpsyg.2016.00128
http://dx.doi.org/10.1007/s10896-005-3655-8
http://dx.doi.org/10.1007/s10896-005-3655-8
http://dx.doi.org/10.1023/A:1018858313267
http://dx.doi.org/10.1023/A:1018858313267
Review of Bystander Training Programming
An Integrative Framework for the Proximal Effect of Alcohol on SV Intervention
Alcohol Myopia Theory
Bystander Decision-Making: Alcohol as a Barrier to Intervention
Step 1
Step 2
Step 3
Step 4
Step 5
Limitations and Recommendations of Current Research and Programming Efforts
Measurement of Opportunities and Behavior
Measurement Method
Analytic Approach
Proposed Research Agenda
Examine Alcohol as a Barrier to Intervention
Can Proximal Alcohol Use Promote Intervention?
Recommendations for Bystander Training Programming
References
Review Manuscrip
t
Who, When, How, and Why Bystanders
Intervene in Physical and Psychological
Teen Dating Violenc
e
Katrina J. Debnam
1
and Victoria Mauer
2
Abstract
Teen dating violence victimization is associated with a host of adverse mental and physical health problems. A number of
bystander-focused interventions have been developed to mitigate the occurrence of abuse but with varying effectiveness. There
remains a need to understand more about bystander behaviors used by adolescents to ensure that existing intervention com-
ponents match with bystanders’ attitudes and behaviors about intervening. The current study is a scoping review of existing
literature on adolescents’ use of bystander behaviors to determine who, when, how, and why adolescents intervene. Seventee
n
articles met inclusion criteria, the majority of which used qualitative or observational survey designs. Adolescents who either feel
a sense of responsibility and confidence to intervene or are directly involved with or know the individuals involved in the dating
violence are more likely to intervene. Adolescents intervene when they are able to define an act as dating violence and tend to
intervene when the victim is female and when they have a supportive relationship with at least one teacher in their school. The
various ways how bystander intervention is engaged in ranges from verbally or physically confronting the abuser, distracting the
abuser, seeking support from an adult, to passively accepting the abuse. Reasons why adolescents intervene include believing the
abuse is wrong and that intervening will diffuse the situation and help the victim. A number of barriers to bystander intervention
emerged from analysis including individual attitudes and school climate factors. Implications for strengthening bystander inter-
vention programs are discussed
.
Keywords
dating violence, adolescents, relationship abuse, bystanders
In recent years, researchers and service providers have increas-
ingly focused on how to increase bystander intervention in teen
dating violence (TDV). A number of bystander-focused inter-
ventions have been developed to mitigate the occurrence of
abuse and assault but with varying effectiveness (Storer, Casey,
& Herenkohl, 2016). There remains a need to understand more
about actual adolescent bystander behaviors in order to ensure
that interventions are targeting the correct persons and direct-
ing intervention components in a manner that matches with
attitudes and behaviors about intervening. The current study
examines existing literature on bystander behaviors to uncover
who, when, how, and why adolescent bystanders intervene in
dating violence.
TDV
TDV or teen dating violence is defined as the physical, sexual,
or psychological/emotional violence within a romantic or dat-
ing relationship, including stalking. Physical TDV is defined as
the intentional or purposeful pushing, hitting, shoving, or kick-
ing by a dating partner. Data from the national Youth Risk
Behavior Survey reveal that 9.6% of high schools students who
dated or went out with someone during the 12 months before
the survey (11.7% of female students and 7.2% of male stu-
dents) report being physically hurt on purpose by that person
(Kann, 2016). Sexual violence has similar national prevalence
rates. 10.6% of students (15.6% of female students and 5.4% of
male students) had been forced to do sexual things (i.e., kissed,
touched, or physically forced to have sexual intercourse) they
did not want to do by someone they were dating or going out
with one or more times (Kann, 2016). Emotional abuse is char-
acterized as threatening a partner or harming his or her self-
worth. This type of abuse can come in the form of name calling,
making a partner feel guilty, purposeful embarrassment, or
controlling behaviors such as keeping him or her away from
friends and family. Although national prevalence of
1
School of Nursing, University of Virginia, Charlottesville, VA, USA
2 Department of Psychology, University of Virginia, Charlottesville, VA, USA
Corresponding Author:
Katrina J. Debnam, School of Nursing, University of Virginia, P. O. Box 800782,
Charlottesville, VA 22908, USA.
Email: kjd2m@virginia.edu
TRAUMA, VIOLENCE, & ABUSE
2021, Vol. 22(1) 54-67
ª The Author(s) 2019
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/1524838018806505
journals.sagepub.com/home/tva
mailto:kjd2m@virginia.edu
https://sagepub.com/journals-permissions
https://doi.org/10.1177/1524838018806505
http://journals.sagepub.com/home/tva
http://crossmark.crossref.org/dialog/?doi=10.1177%2F1524838018806505&domain=pdf&date_stamp=2019-01-22
psychological or emotional abuse are not currently collected,
studies estimate that emotional TDV prevalence ranges from
24% (Haynie et al., 2013) to 96% (Jouriles, Garrido, Rosen-
field, & McDonald, 2009).
TDV victimization has been shown to be associated with a
host of adverse mental and physical health problems including
depression, substance use, suicidal ideation, risky sexual beha-
vior, and drug use (Exner-Cortens, Eckenrode, & Rothman,
2013; Nahapetyan, Orpinas, Song, & Holland, 2014; Parker,
Debnam, Pas, & Bradshaw, 2016; Shorey et al., 2015). These
risky behaviors are not limited to adolescence; 5 years after
experiencing TDV, young adults reported increased heavy epi-
sodic drinking, depressive symptomatology, antisocial beha-
viors, suicidal ideation, smoking, marijuana use, and adult
intimate partner victimization (Exner-Cortens et al., 2013).
Moreover, a recent report commissioned by the Centers for
Disease Control found that approximately 7% of adult women
and 4% of adult men who ever experienced rape, physical
violence, or stalking by an intimate partner first experienced
some form of partner violence by a partner before 18 years of
age (Black et al., 2011).
Help-Seeking Behaviors
Given the potential and long-lasting effects of TDV, seeking
assistance from others has many benefits to victims (Carlson,
McNutt, Choi, & Rose, 2002; Goodman, Dutton, Vankos, &
Weinfurt, 2005; Waldrop & Resick, 2004). Help seeking can
provide emotional support in the form of concern and encour-
agement to leave the relationship (Carson et al., 2002; Weisz &
Black, 2009). Information or advice from others can assist in
problem-solving, conflict negotiation, and additional knowl-
edge about healthy relationships (Weisz & Black, 2009).
Finally, help seeking can result in additional resources, protec-
tion from the abuser, and potentially reduce the severity or
frequency of the abuse (Weisz & Black, 2009).
However, the majority of adolescents experiencing dating
violence do not seek help (Ashley & Foshee, 2005). Victims
are often afraid the severity or frequency of abuse will be
increased by their abusers, as a result of speaking out (Martin,
Houston, Mmari, & Decker, 2012). Of those victims of TDV
who do seek help, the majority seek informal or nonprofes-
sional help, such as family or friends (Ahrens & Campbell,
2000; Ashley & Foshee, 2005; Banyard, Moynihan, Walsh,
Cohn, & Ward, 2010; Martin et al., 2012). Ashley and Foshee
(2005) reported that after experiencing dating violence, only
40% of adolescent victims sought help: 89% from a friend,
40% from a sibling or extended family, and 13–30% from a
parent. Black and Weisz (2003) found that, within a sample of
African American middle schoolers, more than 50% of youth
reported that they would be willing to seek help from their
parents, grandparents, and other adults in issues related to vio-
lence in their dating relationships.
Research also suggests that educating peer groups on how to
respond to friends asking for help when experiencing TDV
could be helpful (Ashley & Foshee, 2005). Indeed, Banyard,
Moynihan, Walsh, Cohn, and Ward (2010) found that friends of
sexual violence survivors felt they were able to be a good
source of help and support for the friend. Furthermore, a recent
study (Van Camp, Hébert, Guidi, Lavoie, & Blais, 2014) also
found that many adolescents feel confident in their ability to
deal with dating violence, reporting greater self-efficacy in
helping someone else. Yet there remains little research regard-
ing the role of friends and the disclosure process in physical and
psychological TDV.
Bystander Theoretical Underpinnings
Latané and Darley’s (1969) situational model of bystander
behavior (SMBB) is typically used to understand bystander
behaviors as related to adult intimate partner violence. The
SMBB posits that the decision to intervene in an emergency
is based on sequential choices by the individual (Hoefnagels &
Zwikker, 2001): (1) notice that something is happening, (2
)
interpret the event as an emergency, (3) decide that it is his
or her personal responsibility to intervene, (4) decide how he or
she wants to intervene, and (5) implement the planned inter-
vention. This decision process may be especially relevant to
understanding adolescent bystander behaviors. Key aspects of
adolescents’ psychosocial development at this developmental
stage include increasing autonomy and peer affiliation. The
SMBB is consistent with adolescents desire to make indepen-
dent choices and consider peer affiliation when deciding how
they want to intervene. Indeed, Nickerson, Aloe, Livingston,
and Feeley (2014), in a study of U.S. youth, found each deci-
sion point in the SMBB significantly predicted willingness to
intervene in the context of bullying and sexual harassment.
Recently, Casey, Lindhorst, and Storer (2017) proposed a new
theoretical model that seeks to further elucidate adolescent use
of bystander behaviors as related to TDV and bullying. This
model incorporates the theory of planned behavior (TPB;
Ajzen, 1991) with the SMBB to explain the broad range of
adolescent attitudes and beliefs (i.e., cognitive factors) that
may play a role in this decision process. While research sug-
gests that SMBB is helpful for understanding the decision-
making process, TPB could help differentiate interveners from
noninterveners. The TPB, a social cognitive theory, posits that
adolescents’ behaviors can be predicted by their intention to
perform the behavior. However, adolescents’ intentions are
influenced by their attitude toward the specific behavior, social
norms regarding what important referrents (i.e., peers, family)
would want them to do, and perceived behavioral control or
self-efficacy to intervene. For example, adolescents, with their
increasing levels of peer affiliation, may be more likely to be
influenced by the perceived social norms regarding violence
among their peers. If adolescents perceive that their peers
would look positively upon intervening in a violence situation,
they may be more likely to make that decision. Casey, Lind-
horst, et al. (2017) found that adolescents’ qualitative descrip-
tion of their bystander decision-making process supports the
integration of SMBB and TPB to form a “situational-cognitive
model of bystander behavior.” While quantitative tests are
Debnam and Mauer 55
needed to further validate this emerging model, it is clear that
adolescent bystander behavior is complex and more research is
needed to advance intervention programming.
Bystander Interventions for Preventing TDV
Bystander-based prevention programs have been introduced as
an innovative strategy to prevent partner violence. These pro-
grams generally focus on arming adolescents or young adults
with the necessary skills and self-efficacy to safely intervene
when they witness dating violence and sexual violence. The
programs do not assume that the bystanders know or are famil-
iar with the abuser or victim but are built on the assumption that
“when community members ignore or fail to respond to beha-
viors across this spectrum, they tacitly reinforce the behavior”
(Storer, Casey, & Herrenkohl, 2016, p. 257). The goals of these
programs are to increase the likelihood that specific instances
of violence or abuse are disrupted and to foster a peer and
community environment that discourages aggressive or violent
behavior. This is particularly relevant to adolescents as there is
evidence that approximately half of all dating violence happens
in the presence of others (Molidor & Tolman, 1998). In fact,
existing bystander-focused programs, such as Bringing in the
Bystander, Coaching Boys Into Men and Green Dot, have
shown that changing social norms can result in a reduction in
sexual assault (Banyard, Moynihan, & Plante, 2007; Coker
et al., 2015, 2016; Miller et al., 2013).
However, research also suggests that bystander decisions to
intervene are contextual, contingent on individual characteris-
tics and form of violence (Weitzman, Cowan, & Walsh, 2017).
For example, Weitzman, Cowan, and Walsh (2017) found that,
within an adult sample, bystanders were more likely to inter-
vene in partner violence when compared to sexual assault. This
study also found that the method of intervention bystanders
chose was different for sexual assault and partner violence
(Weitzman et al., 2017). Furthermore, a study among college
students showed that men had the highest probability of
directly intervening in sexual assault, whereas women had the
highest probability of indirectly intervening in partner violence
(Palmer, Nicksa, & McMahon, 2018). Results also showed that
students who knew neither the victim nor the perpetrator
tended to choose to delegate the intervention to someone else
(Palmer et al., 2018). While emerging research suggests that
bystander intervention is an effective strategy for preventing
interpersonal violence (Banyard, Plante, & Moynihan, 2004;
Coker et al., 2017; Palm Reed, Hines, Armstrong, & Cameron,
2015), more research is needed to evaluate the contextual fac-
tors (i.e., individual characteristics, form of violence, and type
of intervention method) influencing the use of this strategy for
adolescents (Casey & Ohler, 2012; Storer et al., 2016; Taylor,
Stein, Mumford, & Woods, 2013).
Overview of Current Study
The number of bystander-based programs has grown substan-
tially in the last decade, with a recent systematic review
documenting 15 programs since 2007 (Storer et al., 2016).
However, it is important to note only 2 of those 15 programs
have been tested with an adolescent population. Storer and
colleagues’ review showed that bystander programs show
promise in increasing bystanders’ willingness to positively
intervene in situations that could become violent, but note that
results are mixed and there are limitations in our understanding
actual bystander behaviors. In addition, the bystander studies
evaluated in the review focused almost exclusively on sexual
violence (i.e., 12 of 15 studies). Comparatively, little is known
regarding the use of bystander interventions and bystander
behavior specifically related to physical or psychological dat-
ing violence. Therefore, the current review focused on unco-
vering empirical research exploring adolescent bystander
behaviors in response to physical and psychological dating
violence. The following question guided this review of litera-
ture: Who, when, how, and why do adolescent bystanders inter-
vene in physical and psychological teen dating violence?
Method
This scoping review was conducted in three stages: (a) devel-
opment of criteria for inclusion and literature search, (b) extrac-
tion and coding of study characteristics and findings, and (c)
data analysis and aggregation of findings.
Inclusion Criteria and Literature Search
To be included in the review articles needed to describe bystan-
der behaviors of TDV, specifically related to physical and psy-
chological (emotional) abuse. Empirical studies were selected
for inclusion in the review if they fulfilled the following cri-
teria: (a) published in English, (b) included in a peer-reviewed
journal, and (c) included outcome data on adolescent bystander
behavior related to TDV. Articles were excluded if they only
included data related to persons college-aged or older (18 and
above) or only examined sexual violence, sexual assault, and/or
rape without mention of physical and/or emotional/psycholo-
gical dating violence. Studies that examined physical and/or
emotional/psychological dating violence along with forms of
sexual violence were retained in
the review.
The authors worked with a professional research librarian to
create a list of search teams for the search. The search was
conducted in the following databases: PsycINFO, PubMed,
SocIndex (with Full text), and ERIC (ProQuest). The search
terms as they were searched were (“bystander behavior” OR
“bystander behavior” OR bystander) AND (“physical abuse”
OR “dating violence” OR “sexual violence” OR “psychological
abuse” OR “emotional abuse” OR “psychological aggression”
OR “physical aggression” OR “physical violence” OR
“psychological violence” OR “adolescent relationship abuse”)
AND (adolescent OR adolescence OR teenager OR teen). There
was no limit on the date of publication and the search was
conducted on July 1, 2017. See Figure 1 for a depiction of the
steps included in the scoping review. A total of 17 articles met
the selection criteria and are included in this review.
56 TRAUMA, VIOLENCE, & ABUSE 22(1)
Data Extraction and Analysis
As the focus of this review was to better understand the beha-
viors of adolescent bystanders as related to physical and psy-
chological TDV, data analysis and extraction concentrated on
these data in the articles. Specifically, the second author
extracted data from the articles on who intervenes, when do
they intervene or decide to intervene, how do the bystanders
intervene (i.e., what does the intervention behavior look like),
and why bystanders do or do not intervene. In addition, data
regarding the study design, participants, and measures used
was extracted to better understand the range of included
studies. Table 1 includes a summary of the data extracted for
the review.
Results
A total of 17 articles are included in this review (see Table 1).
The majority of the articles (n ¼ 10) were descriptive and
collected qualitative data (n ¼ 8) to explore dating violence.
Other study designs included were randomized control trials
(n ¼ 4) and quasi-experimental design (n ¼ 3). Of the articles
that contained postintervention data (n ¼ 6), three examined
the Coaching Boys Into Men (CBIM) intervention or an adapta-
tion of CBIM. The majority of the studies included in the review
were at least partially obtained from school-based samples (n ¼
15). Participants surveyed were all middle or high school aged,
with the oldest age reported being 19 years old.
Who Intervenes
In examining results from the included empirical articles, we
gathered information on who engages in bystander interven-
tion. In general, adolescents who directly know the individuals
involved in the dating violence are most likely to intervene
(Casey, Lindhorst, & Storer, 2017). In particular, those youth
who are friends with the involved individuals, especially the
victim, are more likely to intervene (Edwards, Rodenhizer-
Stämpfli, & Eckstein, 2015).
A number of attitudes and beliefs were associated with
engaging in bystander intervention strategies. These include
feeling a moral sense of responsibility to intervene (Casey,
Lindhorst, et al., 2017), having a sense of self-efficacy and
confidence around their ability to effectively intervene (Casey,
Lindhorst, et al., 2017; Herbert et al., 2014; Jouriles, Rosen-
field, Yule, Sargent, & McDonald, 2016), believing that inter-
vening would help make the situation better and help the abuser
reflect on their actions (Casey, Lindhorst, et al., 2017), and
believing intervening would foster self-respect (Casey, Lind-
horst, et al., 2017). Conversely, Hébert, Van Camp, Lavoie,
Blais, and Guerrier (2014) showed that adolescents experien-
cing sexual abuse and dating violence in the past 12 months
reported lower self-efficacy to help others when witnessing
dating violence. Finally, feeling that situations of dating vio-
lence are not their business or that they should not be the ones
to intervene makes adolescents less inclined to utilize bystander
intervention (Casey, Lindhorst, et al., 2017).
Sc
re
en
i
n
g
In
cl
ud
ed
El
ig
i
b
ili
ty
Id
en
�fi
ca
�o
n
Records iden�fied through
database searching
(n = 620)
Records screened for
exclusion criteria
(n = 556)
Full-text ar�cles assessed
for eligibility
(n = 76)
Studies included in
systema�c review
(n = 17)
480 ar�cles were excluded a�er a review of ar�cle
abstracts determined they met exclusion criteria
Full-text ar�cles were reviewed. 56 were excluded.
• 4 Systema�c Reviews
• 1 Descrip�ve Study
• 51 did not assess adolescent roman�c
rela�onships or adolescents’ bystander behaviors
63 duplicates were removed
Figure 1. Flow chart of studies selected for scoping review adolescent bystander behaviors.
Debnam and Mauer 57
T
a
b
le
1
.
S
tu
d
ie
s
E
x
p
lo
ri
n
g
A
d
o
le
sc
e
n
t
B
ys
ta
n
d
e
r
B
e
h
av
io
rs
in
A
d
o
le
sc
e
n
t
R
e
la
ti
o
n
sh
ip
A
b
u
se
.
R
e
fe
re
n
ce
s
S
tu
d
y
D
e
si
gn
D
at
a
C
o
lle
ct
io
n
T
im
e
p
o
in
t
N
am
e
o
f
In
te
rv
e
n
ti
o
n
S
am
p
le
S
am
p
le
S
iz
e
an
d
P
ar
ti
ci
p
an
t
G
e
n
d
e
r
T
D
V
F
o
rm
s
M
e
as
u
re
s
W
h
o
In
te
rv
e
n
e
s
H
o
w
D
o
T
h
e
y
In
te
rv
e
n
e
?
W
h
e
n
D
o
T
h
e
y
In
te
rv
e
n
e
?
W
h
y
D
o
T
h
e
y
In
te
rv
e
n
e
?
B
ar
ri
e
rs
to
B
ys
ta
n
d
e
r
In
te
rv
e
n
ti
o
n
B
ak
e
r
an
d
C
ar
re
n
o
(2
0
1
6
)
D
e
sc
ri
p
ti
ve
(
q
u
al
it
at
iv
e
)
N
A
N
A
C
o
m
m
u
n
it
y
N
¼
3
9
;
4
6
%
f
e
m
al
e
E
V
F
o
cu
s
gr
o
u
p
p
ro
to
co
l
(F
G
P
)
X
N
e
ga
ti
ve
X
X
B
ak
e
r
(2
0
1
7
)
D
e
sc
ri
p
ti
ve
(q
u
al
it
at
iv
e
)
N
A
N
A
C
o
m
m
u
n
it
y
N
¼
3
9
;
4
6
%
fe
m
al
e
E
V
,
P
V
F
G
P
X
N
e
ga
ti
ve
,
d
ir
e
ct
X
X
C
as
e
y,
L
in
d
h
o
rs
t
,
an
d
S
to
re
r
(2
0
1
7
)
D
e
sc
ri
p
ti
ve
(q
u
al
it
at
iv
e
)
N
A
N
A
S
ch
o
o
l,
co
m
m
u
n
it
y
an
d
o
n
lin
e
–
b
as
e
d
N
¼
1
1
3
;
6
5
%
fe
m
al
e
E
V
,
P
V
,
S
V
F
G
P
X
D
ir
e
ct
,
in
d
ir
e
ct
X
X
X
C
as
e
y,
S
to
r
e
r,
&
H
e
rr
e
n
k
o
h
l,
(2
0
1
7
)
D
e
sc
ri
p
ti
ve
(q
u
al
it
at
iv
e
)
N
A
N
A
S
ch
o
o
l,
co
m
m
u
n
it
y
an
d
o
n
lin
e
–
b
as
e
d
N
¼
1
1
3
;
6
5
%
fe
m
al
e
E
V
,
P
V
,
S
V
F
G
P
D
ir
e
ct
,
n
e
ga
ti
ve
,
in
d
ir
e
ct
,
d
is
tr
ac
t
X
X
E
d
w
ar
d
s,
R
o
d
e
n
h
iz
e
r-
S
tä
m
p
fl
i,
an
d
E
ck
st
e
in
(2
0
1
5
)
D
e
sc
ri
p
ti
ve
(q
u
an
ti
ta
ti
ve
an
d
q
u
al
it
at
iv
e
)
N
A
N
A
S
ch
o
o
l-
b
as
e
d
N
¼
2
1
8
;
4
4
%
fe
m
al
e
P
V
,
S
V
F
G
P
;
M
o
d
if
ie
d
B
ys
ta
n
d
e
r
B
e
h
av
io
r
S
ca
le
(M
B
B
S
;
B
an
ya
rd
,
2
0
0
8
);
Y
R
B
S
(C
D
C
,
2
0
1
3
);
A
cc
e
p
ta
n
ce
o
f
D
a
t
in
g
A
b
u
se
S
ca
le
(F
o
sh
e
e
&
L
an
gw
ic
k
,
2
0
1
0
);
Il
lin
o
is
R
ap
e
M
yt
h
A
cc
e
p
ta
n
ce
S
ca
le
(M
cM
ah
o
n
&
F
ar
m
e
r,
2
0
1
1
)
X
D
ir
e
ct
,
n
e
ga
ti
ve
,
in
d
ir
e
ct
,
d
is
tr
ac
t
X
X
X
F
ry
e
t
al
.
(2
0
1
4
)
D
e
sc
ri
p
ti
ve
(
q
u
an
ti
ta
ti
ve
)
N
A
N
A
S
ch
o
o
l-
b
as
e
d
N
¼
1
,3
1
1
;
5
6
%
fe
m
al
e
E
V
,
P
V
,
S
V
In
ve
st
ig
at
o
r
D
e
ve
lo
p
e
d
M
e
as
u
re
s
(I
D
M
)
X
D
ir
e
ct
,
in
d
ir
e
ct
H
é
b
e
rt
,
V
an
C
am
p
,
L
av
o
ie
,
B
la
is
,
an
d
G
u
e
rr
ie
r
(
2
0
1
4
)
D
e
sc
ri
p
ti
ve
(q
u
an
ti
ta
ti
ve
)
N
A
N
A
S
ch
o
o
l-
b
as
e
d
N
¼
6
,5
4
0
;
5
8
%
fe
m
al
e
E
V
,
P
V
,
S
V
S
e
lf
-e
ff
ic
ac
y
to
D
e
al
w
it
h
V
io
l
e
n
ce
S
ca
le
(S
E
D
V
;
C
am
e
ro
n
e
t
al
.,
2
0
0
7
)
X
Jo
u
ri
le
s,
R
o
se
n
fi
e
ld
,
Y
u
le
,
S
ar
ge
n
t,
an
d
M
cD
o
n
al
d
(2
0
1
6
)
Q
u
as
i-
e
x
p
e
ri
m
e
n
ta
l
(q
u
an
ti
ta
ti
ve
)
N
A
N
A
S
ch
o
o
l-
b
as
e
d
N
¼
8
0
;
5
3
%
fe
m
al
e
E
V
,
P
V
,
S
V
ID
M
;
R
e
sp
o
n
si
b
ili
ty
fo
r
in
te
rv
e
n
in
g
sc
al
e
(B
u
rn
,
2
0
0
9
);
M
B
B
S
;
D
e
ci
si
o
n
al
b
al
an
ce
sc
al
e
/P
e
rc
e
iv
e
d
b
e
n
e
fi
ts
fo
r
in
te
rv
e
n
in
g
(B
an
ya
rd
e
t
al
.,
2
0
0
4
)
X
K
e
rv
in
an
d
O
b
in
n
a
(2
0
1
0
)
Q
u
as
i-
E
x
p
e
ri
m
e
n
ta
l
(q
u
al
it
at
iv
e
an
d
q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
Y
o
u
th
A
d
vi
so
ry
C
o
m
m
it
te
e
S
ch
o
o
l-
b
as
e
d
N
¼
4
8
*
E
V
,
P
V
,
S
V
ID
M
D
ir
e
ct
X
(c
o
n
ti
n
u
ed
)
58
T
a
b
le
1
.
(c
o
n
ti
n
u
e
d
)
R
e
fe
re
n
ce
s
S
tu
d
y
D
e
si
gn
D
at
a
C
o
lle
ct
io
n
T
im
e
p
o
in
t
N
am
e
o
f
In
te
rv
e
n
ti
o
n
S
am
p
le
S
am
p
le
S
iz
e
an
d
P
ar
ti
ci
p
an
t
G
e
n
d
e
r
T
D
V
F
o
rm
s
M
e
as
u
re
s
W
h
o
In
te
rv
e
n
e
s
H
o
w
D
o
T
h
e
y
In
te
rv
e
n
e
?
W
h
e
n
D
o
T
h
e
y
In
te
rv
e
n
e
?
W
h
y
D
o
T
h
e
y
In
te
rv
e
n
e
?
B
ar
ri
e
rs
to
B
ys
ta
n
d
e
r
In
te
rv
e
n
ti
o
n
M
cC
au
le
y
e
t
al
.
(2
0
1
3
)
D
e
sc
ri
p
ti
ve
(q
u
an
ti
ta
ti
ve
)
P
re
in
te
rv
e
n
ti
o
n
C
o
ac
h
in
g
b
o
ys
i
n
to
m
e
n
S
ch
o
o
l-
b
as
e
d
N
¼
1
,6
9
9
(
m
al
e
s
o
n
ly
)
E
V
,
P
V
,
S
V
ID
M
;
C
o
n
fl
ic
t
T
ac
ti
cs
S
ca
le
–
M
o
d
if
ie
d
(C
T
S
–
M
;
S
tr
au
s,
H
am
b
y,
B
o
n
e
y-
M
cC
o
y,
&
S
u
ga
r
m
an
,
1
9
9
6
;
G
e
n
d
e
r-
E
q
u
it
ab
le
N
o
rm
s
S
ca
le
-M
o
d
if
ie
d
(G
E
N
;
P
u
le
rw
it
z
&
B
ar
k
e
r,
2
0
0
8
)
D
ir
e
ct
,
in
d
ir
e
ct
X
M
ill
e
r
e
t
al
.
(2
0
1
4
)
E
x
p
e
ri
m
e
n
ta
l
(q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
P
ar
iv
ar
ta
n
(a
d
ap
ta
ti
o
n
o
f
co
ac
h
in
g
b
o
ys
In
to
m
e
n
)
S
ch
o
o
l-
b
as
e
d
N
¼
3
0
9
(m
al
e
s
o
n
ly
)
E
V
,
P
V
,
S
V
ID
M
X
M
ill
e
r
e
t
al
.
(2
0
1
3
)
E
x
p
e
ri
m
e
n
ta
l
(q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
,
1
-y
e
ar
fo
llo
w
–
u
p
C
o
ac
h
in
g
b
o
ys
in
to
m
e
n
S
ch
o
o
l-
b
as
e
d
N
¼
1
,5
1
3
(m
al
e
s
o
n
ly
)
E
V
,
P
V
,
S
V
ID
M
;
re
co
gn
it
io
n
o
f
ab
u
si
ve
b
e
h
av
io
r
(R
A
B
;
R
o
th
m
an
,
D
e
ck
e
r,
&
S
ilv
e
rm
an
,
2
0
0
6
);
G
E
N
;
C
T
S
-M
X
X
M
ill
e
r
e
t
al
.
(2
0
1
2
)
E
x
p
e
ri
m
e
n
ta
l
(q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
C
o
ac
h
in
g
b
o
ys
in
to
m
e
n
S
ch
o
o
l-
b
as
e
d
N
¼
2
,
0
0
6
(m
al
e
s
o
n
ly
)
E
V
,
P
V
,
S
V
ID
M
;
R
A
B
;
G
E
N
;
C
T
S
-M
X
D
ir
e
ct
,
in
d
ir
e
ct
P
lo
u
rd
e
e
t
al
.
(2
0
1
6
)
Q
u
as
i-
E
x
p
e
ri
m
e
n
ta
l
(q
u
al
it
at
iv
e
an
d
q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
Y
o
u
th
e
m
an
(Y
T
M
)
S
ch
o
o
l-
b
as
e
d
N
¼
1
,2
6
9
;
4
9
%
fe
m
al
e
E
V
,
P
V
,
S
V
ID
M
,
F
G
P
D
ir
e
ct
,
in
d
ir
e
ct
S
ar
ge
n
t,
Jo
u
ri
le
s,
R
o
se
n
fi
e
ld
,
an
d
M
cD
o
n
al
d
(2
0
1
7
)
E
x
p
e
ri
m
e
n
ta
l
(q
u
an
ti
ta
ti
ve
)
P
o
st
in
te
rv
e
n
ti
o
n
T
ak
e
C
A
R
E
S
ch
o
o
l-
b
as
e
d
N
¼
1
,2
9
5
;
5
3
%
fe
m
al
e
E
V
,
P
V
,
S
V
F
ri
e
n
d
s
P
ro
te
ct
in
g
F
ri
e
n
d
s
B
ys
ta
n
d
e
r
B
e
h
av
io
r
S
ca
le
(B
an
ya
rd
,
M
o
yn
ih
an
,
C
ar
e
s,
&
W
ar
n
e
r,
2
0
1
4
)
X
X
S
to
re
r,
C
as
e
y,
an
d
H
e
rr
e
n
k
o
h
l
(2
0
1
7
)
D
e
sc
ri
p
ti
ve
(q
u
al
it
at
iv
e
)
N
A
N
A
S
ch
o
o
l,
co
m
m
u
n
it
y
an
d
O
n
lin
e
–
b
as
e
d
N
¼
1
1
3
;
6
5
%
fe
m
al
e
E
V
,
P
V
F
G
P
X
X
X
V
an
C
am
p
,
H
é
b
e
rt
,
G
u
id
i,
L
av
o
ie
,
an
d
B
la
is
(2
0
1
4
)
D
e
sc
ri
p
ti
ve
(q
u
an
ti
ta
ti
ve
)
N
A
N
A
S
ch
o
o
l-
b
as
e
d
N
¼
2
5
9
,
5
9
.5
%
fe
m
al
e
E
V
,
P
V
,
S
V
S
E
D
V
;
C
o
n
fl
ic
t
in
A
d
o
le
sc
e
n
t
D
at
in
g
R
e
la
ti
o
n
sh
ip
s
In
ve
n
to
ry
–
S
h
o
rt
F
o
rm
,
M
o
d
if
ie
d
(W
e
k
e
rl
e
e
t
al
.,
2
0
0
9
);
S
e
x
u
al
E
x
p
e
ri
e
n
ce
s
S
u
rv
e
y
(K
o
ss
&
O
ro
s,
1
9
8
2
)
X
D
ir
e
ct
X
N
o
te
.
N
A
¼
n
o
t
ap
p
lic
ab
le
;
E
V
¼
e
m
o
ti
o
n
al
vi
o
le
n
ce
,
P
V
¼
p
h
ys
ic
al
vi
o
le
n
ce
,
S
V
¼
se
x
u
al
vi
o
le
n
ce
;
“X
”
in
d
ic
at
e
s
th
at
th
is
st
u
d
y
p
ro
vi
d
e
d
d
at
a
re
ga
rd
in
g
th
is
as
p
e
ct
o
f
b
ys
ta
n
d
e
r
b
e
h
av
io
rs
.
*
st
u
d
y
is
m
is
si
n
g
b
re
ak
d
o
w
n
o
f
fe
m
al
e
an
d
m
al
e
p
ar
ti
ci
p
an
ts
.
59
Some studies found differences in bystander intervention
based on youth demographic characteristics. Three studies
showed that female youth are more likely to intervene and more
optimistic about their intervention abilities (Edwards et al.,
2015; Fry et al., 2014; Hébert, Van Camp, Lavoie, Blais, &
Guerrier 2014; Van Camp et al., 2014). Moreover, Fry and
colleagues (2013) and Sargent and colleagues (2017) found
that Hispanic adolescents were more likely to use bystander
intervention than non-Hispanic adolescents. They also found
that adolescents born in the United States were more likely to
talk to their friends about dating violence and give their friends
advice related to dating violence than foreign-born adolescents
(Fry et al., 2014).
Studies found that participation in bystander training pro-
gramming impacted engagement in bystander behaviors. For
instance, students exposed to the TakeCARE bystander pro-
gram reported engagement in more “helpful” bystander beha-
viors at a 3-month follow-up (Sargent, Jouriles, Rosenfield, &
McDonald, 2017). While athletes participating in Coaching
Boys Into Men (CBIM) intervention reported initial increases
in bystander intervention (Jaime et al., 2015; Miller et al., 2012,
2013), the 12-month follow-up study of CBIM found that the
effects of the intervention on athletes’ utilization of and will-
ingness to use bystander behavior were no longer significant
(Miller et al., 2013). In addition,“Parivartan” an adaptation of
CBIM for adolescent male athletes in India found that athletes
who participated in the program reported significantly fewer
“negative” bystander behaviors (e.g., laughing at or going
along with peers’ abusive behaviors) at the 12-month follow-
up (Miller et al., 2014). However, this study did not find sig-
nificant differences between intervention and nonintervention
athletes in terms of positive bystander behaviors or abuse per-
petration (Miller et al., 2014).
When Do Adolescents Intervene
Our examination of results from the included empirical articles
also included an exploration of time and spaces in which ado-
lescents utilize or feel comfortable engaging in bystander inter-
vention. The studies revealed that adolescents’ ability to
determine whether an act constitutes abuse impacts when they
intervene. Casey, Lindhorst, et al. (2017) found that adoles-
cents use a number of factors to determine whether an act
constitutes abuse, including the victim’s reaction to the beha-
vior. Two studies showed that adolescents are more likely to
intervene when the victim of the abuse is female and in situa-
tions of physical abuse, especially if it causes injury or signif-
icant distress to the victim (Casey, Lindhorst, et al., 2017;
Edwards, Haynes, & Rodenhizer-Stämpfli, 2016). Another
study found that adolescents are more likely to intervene in
situations that do not include the presence of a perpetrator
(Sargent et al., 2017). Adolescents are also more likely to inter-
vene when they observe controlling behaviors in their peers’
romantic relationships (Edwards et al., 2015). For example, if
they overhear a friend insulting their partner, or saying things
like, “she deserved to be raped” (Edwards et al., 2015, p.223).
Yet Sargent and colleagues (2017) found that adolescents most
often intervene after situations of abuse have occurred, as
opposed to interrupting abuse that is occurring in the moment
or before it occurs.
A few studies discussed contextual issues that facilitate
when adolescents’ intervene. For instance, Edwards, Rodenhi-
zer-Stämpfli, and Eckstein (2015) found that adolescents are
less likely to intervene when they observe abusive behaviors
over social media as opposed to observing abuse in person.
Additionally, Storer, Casey, and Herrenkohl (2017) showed
that adolescents who report having social support in school
(i.e., at least one supportive relationship with a teacher in
school) were more likely to intervene.
How Do Adolescents Intervene/What Does It Look Like
We also examined the articles, for examples, of how adoles-
cents engage in bystander intervention. From this analysis, we
found five trends in the description of bystander behavior used
by adolescents: (1) direct verbal confrontation, (2) direct phys-
ical confrontation, (3) distraction, (4) indirect intervention, and
(5) passive or active acceptance.
Direct verbal confrontation was discussed in 11 of the
reviewed studies. Direct verbal confrontation describes beha-
viors in which adolescents directly address the abuse with the
perpetrator and/or victim using a verbal response. It can look
like adolescents verbally interrupting the abuse as it is occur-
ring and saying things such as “Stop” or “Knock it off” (Casey,
Lindhorst, et al., 2017; Casey, Storer, & Herrenkohl, 2017;
Edwards et al., 2015) or correcting problematic language and
reacting negatively to sexist jokes (Jaime et al., 2015; Kervin &
Obinna, 2010). Direct verbal confrontation also includes ado-
lescents having conversations with a member of the couple,
especially the victim (Edwards et al., 2015; Fry et al., 2014;
Miller et al., 2012). In such conversations, adolescents
described providing emotional support (Baker, 2017; Casey,
Storer, et al., 2017; Plourde et al., 2016) and advice to the
victim (Baker, 2017; Casey, Storer, et al., 2017; Fry et al.,
2014; Plourde et al., 2016; Van Camp et al., 2014). Advice
included such things as encouraging the victim to disclose the
abuse to a trusted adult (Fry et al., 2014; Van Camp et al., 2014)
or hotline (Fry et al., 2014) and encouraging the victim to leave
their abusive partner (Casey, Storer, et al., 2017; Fry et al.,
2014; Plourde et al., 2016). In two of the reviewed studies,
adolescents also discussed having conversations with the per-
petrator (Casey, Storer, et al., 2017; Fry et al., 2014). In the
Casey, Storer, and Herrenkohl study (2017), adolescents dis-
cussed having a private conversation with the perpetrator to
express disapproval for the abusive behavior and attempt to
educate the abuser.
Direct physical confrontation was discussed in three of the
reviewed studies (Casey, Storer, et al., 2017; Edwards et al.,
2015; Weisz & Black, 2009). We use the description of phys-
ical confrontation to describe the physical nature of adolescent
bystanders, most often male adolescents’, attempts to interrupt
abuse, which is distinct from verbal confrontation. Such
60 TRAUMA, VIOLENCE, & ABUSE 22(1)
physical confrontations include stepping in between the couple
(Casey, Storer, et al., 2017), using physical aggression
(Edwards et al., 2015), and fighting the perpetrator (Casey,
Storer, et al., 2017; Weisz & Black, 2009).
Distraction, as an intervening method, was also often phys-
ical in nature but describes adolescents’ attempts to interrupt
the behavior and have parties focus on something else. Distrac-
tion was discussed by three of the reviewed articles (Casey,
Lindhorst, et al., 2017; Casey, Storer, et al., 2017; Edwards
et al., 2015). Distraction included efforts to interrupt abusive
behavior as it occurred by creating a distraction, ignoring the
perpetrator, and removing the victim from the moment (Casey,
Lindhorst, et al., 2017; Casey, Storer, et al., 2017). More spe-
cifically, in one study, male adolescents described their efforts
to use distraction by asking the victim to dance or starting a
conversation with the victim (
Edwards et al., 2015).
Indirect methods of intervention, which were discussed in
six of the reviewed articles, included adolescents’ attempts to
enlist support for addressing the abuse. All of the articles that
discussed indirect methods described ways adolescents enlisted
the support of an adult (i.e., parents, school staff; Casey, Lind-
horst, et al., 2017; Casey, Storer, et al., 2017; Edwards et al.,
2015; Fry et al., 2014; Miller et al., 2013; Plourde et al., 2016).
Indirect methods also included accompanying a friend to speak
with an adult or get support services (Casey, Storer, et al., 2017;
Fry et al., 2014) and calling a support or crisis hotline (Fry
et al., 2014; Plourde et al., 2016).
Finally, passive or active acceptance of the abuse describes
bystander behaviors that do not seek to support the victim or stop
the abuse. The nature of these actions has the potential to com-
municate acceptance of the abusive behavior. Passive or active
acceptance of the abuse was discussed in two of the reviewed
articles. Casey, Storer, et al. (2017) found that these include not
doing anything when observing abuse, withdrawing from the
victim, and attempting to diagnose the victim in order to figure
out what would make them accepting of such abusive treatment.
Furthermore, Edwards and colleagues (2015) found that adoles-
cents sometimes ignore the abuse as a way to avoid “drama.”
Why Do Adolescents Intervene
Few studies provided reasons why adolescents do or do not
intervene in dating violence (Baker & Carreno, 2016; Casey,
Lindhorst, et al., 2017; Casey, Storer, et al., 2017; Edwards
et al., 2015). Casey, Lindhorst, et al. (2017) found that adoles-
cents intervene because they see the abuse as serious. In this
study (Casey, Lindhorst, et al., 2017), the seriousness of the
abuse was determined by adolescents’ examination of the vic-
tim’s distress, whether or not the abuse is part of a repeated
pattern (i.e., more likely to intervene), and whether it is mutual
(i.e., less likely to intervene). Consistent with a sense of per-
sonal responsibility described in “who” intervenes, interven-
tion occurs because adolescents feel that relationship abuse is
wrong and should be stopped. Simply stated; adolescents must
believe that intervening is the right thing to do (Casey, Lind-
horst, et al., 2017). Furthermore, there is a need to believe that
intervening as a bystander can help diffuse the situation and
will help improve things for the victim. In contrast, some ado-
lescents may decide to intervene for negative reasons. Two
studies showed that some adolescents may intervene because
they desire to fuel the “drama” within the relationship, which
often occurs through social media (Baker & Carreno, 2016;
Edwards et al., 2015).
Barriers to Bystander Intervention
In reviewing the studies included in this review, a number of
barriers that inhibit adolescents’ use of bystander intervention
emerged. First, as adolescents become more uncertain about
whether a couple’s acts constitute abuse they are less able to
determine how to safely intervene (Casey, Lindhorst, et al.,
2017). Three studies described attitudes that impede interven-
ing including: (1) sensing that intervention would somehow
make the situation more risky for the victim, (2) feeling inter-
vening would risk their own physical safety, (3) believing inter-
vention will not permanently make a difference, and (4)
considering abuse to be a private matter and that if they inter-
vene they will be considered intrusive (Casey, Lindhorst, et al.,
2017; Edwards et al., 2015; Storer, Casey, & Herrenkohl,
2017). Adolescents who are of a lower social status (e.g.,
younger, less popular) than the abuser or abused often feel that
intervention will not be successful (Casey, Lindhorst, et al.,
2017) and fear social repercussions for their actions (Edwards
et al., 2015). Moreover, adolescents are less likely to intervene
in situations more likely to be characterized as harassment
(e.g., sexist jokes, catcalls; Edwards et al., 2015).
Just as factors in schools can facilitate adolescents’ use of
bystander intervention, school climate factors can also inhibit
intervention. Such factors include (1) feeling teachers and
administrators are more equipped to intervene, and (2) perceiv-
ing that schools do not take adolescent dating abuse seriously
and lack awareness of the issue (Storer et al., 2017). Addition-
ally, school cultures that reinforce “slut-shaming” and other
sexist attitudes can diminish the likelihood that students will
intervene (Storer et al., 2017). Finally, students are often hesi-
tant to report abuse to teachers and other school officials for a
number of reasons including (1) concerns that they will be
considered a “snitch,” (2) lack of comfort discussing sensitive
topics with teachers they are not close to, and (3) perceptions
that teachers are not concerned about dating and sexual aggres-
sion among students (Edwards et al., 2015).
Discussion
To date, little research has explored how adolescents intervene
in situations of physical and psychological dating violence.
This scoping review sought to describe who, when, how, and
why adolescents intervene in the context of TDV. The review
provides evidence that adolescents can and do use bystander
behaviors when faced with situations of TDV. This review also
shows that contextual factors influence whether or not adoles-
cents feel capable of using such behaviors, and researchers
Debnam and Mauer 61
have described a number of barriers that prevent adolescents
from feeling they can effectively intervene.
Adolescents intervene when it is a close friend who is
involved in the violent relationship and when they feel confi-
dent about their ability to contribute to a positive outcome both
for the victim and for themselves. This finding is consistent
with social cognitive model of adolescent bystander behavior
in that adolescents’ self-efficacy or confidence to intervene
plays a role in their decision-making process. Results suggest
more research is needed to identify how often and what factors
might positively impact adolescents’ confidence in intervening
with peers who they do not share a close relationship with. It is
clear that an adolescent’s sense of the utility of bystander inter-
vention when observing dating violence must override any
sense that the violence is none of their business (Casey, Lind-
horst, et al., 2017). Some sexual assault prevention program-
ming has been successful at encouraging bystander
intervention through social norm campaigns (Gidycz, Orch-
owski, & Berkowitz, 2011).
In line with the SMBB which suggests that defining the
situation as an emergency is important to the decision-
making process, the current study found that adolescents
must be able to define an act as abusive if they are to
actually intervene. Adolescents define acts as abusive by
observing such factors as the gender of the victim and the
types of abusive behaviors. In fact, adolescents’ uncertainty
about whether acts can be considered abusive impacts their
likelihood of intervening (Casey, Lindhorst, et al., 2017).
Continuing to educate adolescents about the different forms
of dating violence and how they may manifest themselves in
their friends’ relationships may increase their likelihood of
intervening. It is important to provide modern examples of
dating violence that speak to the real lives of adolescents to
translate the definitions of abuse (Sears, Byers, Whelan, &
Saint-Pierre, 2006).
This review explored how bystander intervention is car-
ried out when adolescents observe physical and psychologi-
cal dating violence. Direct verbal confrontation was most
often used to intervene. While adolescents utilize such con-
frontation in a number of ways, more research is need to
determine whether it is the most effective intervention strat-
egy for physical and psychological TDV. Some studies
found that when adolescents confronted their friends in abu-
sive relationships, telling them they should break up with
their abusive partner because they deserved to be treated
better, their friends pulled away from the friendship (Baker,
2017). It is possible that there is a strategically effective
manner in which adolescents can utilize verbal confronta-
tion; however, adolescents may need additional training and
support for how to engage in these conversations with their
friends (Kim, Weinstein, & Selman, 2017). Furthermore,
adolescents’ ability to discern the proper time to utilize such
interventions is potentially limited. Encouraging friends to
leave an abusive relationship may be best completed using
specific motivational language over the course of several
conversations (Cunningham et al., 2013). TDV prevention
programming should seek to provide adolescents with the
skills necessary to effectively and sensitively respond to
observed abuse.
The reviewed articles discussed a number of barriers to
adolescent bystander intervention. A number of these barriers
described the ways school culture and climate can be a major
barrier to disclosures about abuse. This review highlights the
important role teachers, school support staff, and school admin-
istrators can play in creating and fostering school climates that
deem TDV a serious matter that is not tolerated and that stu-
dents are expected to aid in the prevention of such abuse. This
finding further lends credibility to the social cognitive model of
adolescent bystander behavior which theorizes that social
norms about intervening could be vital to increasing positive
bystander behaviors. Such school and social climates would
also encourage adolescent disclosure of abuse by fostering pos-
itive connections between students and teachers and adminis-
trators. Indeed, Storer et al. (2017) found that adolescents were
more willing to intervene in dating violence when they per-
ceived the school personnel had expertise to respond effec-
tively, the school environment was intolerant of abuse, and
when students had trusted the relationships with teachers.
Existing school-based interventions will be more effective if
they are able to cultivate a whole school response to abuse and
violence (Storer et al., 2017; Taylor et al., 2013). For example,
efforts to strengthen student connectedness to the school, staff,
and other students may increase their likelihood of reporting
dating abuse (Debnam, Johnson, & Bradshaw, 2014).
Consistent with the recent review of bystander intervention
programs (Storer et al., 2016) and the social cognitive model of
adolescent bystander behavior, study findings show there is a
need for bystander-based interventions to consider the context
in which adolescents operate in. Engaging in bystander beha-
viors is contingent on a myriad of situational and cognitive
factors, which then may be affected by the social norms of that
environment. For example, even if adolescents endorse a sense
of personal responsibility to intervene in witnessed dating vio-
lence, they still may be less likely to engage in an indirect
intervention if they don’t perceive support from trusted adults
in their community. Thus, attention to setting-level policies and
norms is important component of bystander programming.
In addition, the current study extends the review of bystan-
der programs by considering specific traits of bystanders.
Examining these traits across studies, in aggregate, makes it
easier to see the gaps in our current knowledge and contributes
to our understanding of the necessary components of bystander
interventions. Specifically, few studies provided information of
when and why adolescents intervene. Future research that con-
siders these factors may see a greater impact on bystander
behavior. For instance, coaches in the CBIM intervention dis-
cussed the fact that many youth need time to grapple with the
idea of intervening against their peers. CBIM found that ath-
letes are often hesitant to intervene with their teammates and
feared retaliation (Jaime et al., 2015). The push toward bystan-
der intervention programming like CBIM as a means to prevent
dating violence by promoting awareness of and intervention in
62 TRAUMA, VIOLENCE, & ABUSE 22(1)
situations of TDV continues to increase (Banyard, Edwards, &
Seibold, 2016; Kaukinen et al., 2018). However, such program-
ming requires an understanding of how and when adolescents
utilize bystander behaviors. This review can be used to inform
efforts to enhance researchers’ and service providers’ under-
standing of adolescent bystander intervention. For instance,
adolescents noted concern for their own physical safety as a
barrier to bystander intervention. Service providers may con-
sider alternative ways (e.g., anonymous or confidential help
lines) for adolescents to report their concerns about dating
abuse that protects the reporter.
Limitations of our review should be noted. Given that
the search uncovered only 17 studies meeting the review
criteria, many findings are based on a small number (i.e.,
2–3) of peer-reviewed articles. In addition, the review
includes only those articles written in English and pub-
lished studies. However, the review did benefit from using
a professional research librarian consultation in the search
of online databases. Data for this review were extracted
from data available in the published article. Thus, addi-
tional data that might be available through other sources
were not obtained, and no input was sought from the indi-
vidual authors. This review focuses on results from studies
that explicitly included physical and psychological dating
violence. As a result, the findings do not readily generalize
to programs targeting only sexual harassment, assault, or
abuse. Moreover, this review did not include articles that
described intervening behaviors by adults or parents. There
is an emerging literature base regarding the role of parents
in response to dating abuse that is also important for future
bystander intervention development (Black & Preble,
2016). This review intentionally included studies that pro-
vided both qualitative and quantitative data as well as data
collected pre- and postintervention. Thus, the heterogeneity
of outcomes and assessment methods precluded performing
a formal meta-analysis and bystander data may have been
influenced by the study intervention. It is also important
note that there was adequate diversity across study partici-
pants. While the majority of data were collected from
school-based samples, participants were diverse in race and
ethnicity (i.e., five samples were majority Black, five sam-
ples were majority White, and two samples were majority
Hispanic or Latino). In addition, three of the studies (Her-
bert et al., 2014; Miller et al., 2014; Van Camp et al.,
2014) were conducted with adolescents outside of the
United States.
As demonstrated in our findings who engages in bystander
intervention and how they engage in these behaviors varies
widely. Through this review, we demonstrated that there are
many factors to consider in increasing adolescents willingness
and ability to intervene on a peer’s behalf. Findings from the
study can be used to strengthen our bystander programming
and prevention efforts particularly as related to physical and
psychological abuse. Future research must also examine the
effectiveness of this approach in reducing the overall occur-
rence of dating violence.
Critical Findings
� Consistent with bystander intervention literature, the
findings of this review reveal that adolescents do utilize
bystander behaviors in response to TDV, especially
when they feel confident that their intervention will be
effective and positively contribute to a friend’s well-
being. Additionally, adolescents’ ability to intervene is
impacted by their capacity to define an act as abusive.
Adolescents’ efficacy in defining acts as abuse remains
unclear, but many adolescents use factors like gender
and the type of abusive behavior to determine whether
they should intervene.
� When observing TDV, adolescents use bystander inter-
vention in a number of ways including: direct verbal
confrontation, direct physical confrontation, distraction,
and indirect intervention (e.g., soliciting the help of an
adult). However, not all adolescents effectively inter-
vene when faced with TDV and some studies show that
adolescents exhibit passive or active acceptance when
observing TDV.
� This review revealed a number of barriers adolescents
face against using bystander intervention. Adolescents’
own attitudes toward bystander intervention can get in
the way. Feeling that the intervention would be too
risky, both socially and physically, and that abuse is a
private matter between the couple stops adolescents
from utilizing bystander behaviors. Further, the culture
and climate of an adolescent’s school can inhibit bystan-
der intervention, especially in schools that do not com-
municate that TDV is a serious matter that will be
effectively dealt with by school officials.
� While little is known about why adolescents intervene as
bystanders, the findings of this review show that adoles-
cents intervene when they perceive abusive behaviors to
be serious, which may be based on victim’s level of
distress and the pattern of abuse. Adolescents who inter-
vene to stop violence do so because they believe that
dating violence is not okay and that intervening will
diffuse the situation and help the victim.
Recommendations and Implications for Practice,
Policy, and Research
� This scoping review highlights the need for relevant
examples to teach adolescents ways to identify different
forms of dating violence with consideration of how the
forms manifest in adolescent relationships.
� This study revealed the strong influence context plays in
supporting or inhibiting bystander behaviors. Because
adolescents spend much of their time in school, school
officials may need to create and foster school climates
that communicate that TDV is not okay, students are
encouraged to disclose abuse when they observe it, and
Debnam and Mauer 63
further cultivate school-wide response to abuse. Adoles-
cents are sensitive to adult responses to abuse and
schools must exhibit that they can effectively respond
to TDV.
� Bystander intervention programming may benefit from
more information about how and when adolescents actu-
ally use bystander behaviors. Such programs can strive
to provide adolescents with intervention strategies that
both effectively and sensitively respond to TDV. Fur-
ther, when training adolescents to respond, program
operators may dedicate time to allowing adolescents to
consider and discuss any barriers they perceive in inter-
vening with their peers.
� This scoping review highlights the need for additional
research to understand what factors impact adolescents’
confidence and understanding of when it is appropriate
and useful to use bystander behaviors. Moreover,
research should strive to understand what bystander
intervention strategies are most effective for physical
and psychological TDV and when is the proper time to
utilize such interventions. Finally, continued research is
needed to determine how effective bystander interven-
tion programming is in reducing the occurrence of TDV.
Acknowledgments
The authors would like to thank Chloe Grinage for her early help in
conducting this review.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to
the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for
the research, authorship, and/or publication of this article: The
research reported here was supported by the Institute of Education
Sciences, U.S. Department of Education, through Grant
#R305B140026 to the Rectors and Visitors of the University of
Virginia.
References
(*Denotes studies included in the scoping review.)
Ajzen, I. (1991). The theory of planned behavior. Organizational
Behavior and Human Decision Processes, 50, 179–211.
doi:10.1016/0749-5978(91)90020-T
Ahrens, C. E., & Campbell, R. (2000). Assisting rape victims as they
recover from rape: The impact on friends. Journal of Interpersonal
Violence, 15, 959–986.
Ashley, O. S., & Foshee, V. A. (2005). Adolescent help-seeking for
dating violence: Prevalence, sociodemographic correlates, and
sources of help. Journal of Adolescent Health, 36, 25–31.
*Baker, C. K. (2017). What role do peers play in adolescent dating?
Insights from adolescents with a history of dating violence. Vio-
lence Against Women, 23, 178–201.
*Baker, C. K., & Carreño, P. K. (2016). Understanding the role of
technology in adolescent dating and dating violence. Journal of
Child and Family Studies, 25, 308–320.
Banyard, V. L. (2008). Measurement and correlates of prosocial
bystander behavior: The case of interpersonal violence. Violence
and Victims, 23, 83.
Banyard, V. L., Edwards, K. M., & Seibold, W. (2016). Involving
community in sexual violence prevention: Engaging bystanders.
In R. P. Sturmey (Ed.), Handbook of violence and aggression,
Volume 3: Societal interventions (pp. 1–13). Malden, MA: John
Wiley.
Banyard, V. L., Moynihan, M. M., & Plante, E. G. (2007). Sexual
violence prevention through bystander education: An experimental
evaluation. Journal of Community Psychology, 35, 463–481.
Banyard, V. L., Moynihan, M. M., Cares, A. C., & Warner, R. (2014).
How do we know if it works? Measuring outcomes in bystander
focused abuse prevention on campuses. Psychology of Violence, 4,
101–115. doi:10.1037/a0033470
Banyard, V. L., Moynihan, M. M., Walsh, W. A., Cohn, E. S., &
Ward, S. (2010). Friends of survivors: The community impact of
unwanted sexual experiences. Journal of Interpersonal Violence,
25, 242–256.
Banyard, V. L., Plante, E. G., & Moynihan, M. M. (2004). Bystander
education: Bringing a broader community perspective to sexual
violence prevention. Journal of Community Psychology, 32,
61–79.
Black, B., & Preble, K. (2016). Parental responses to youths’ reports
of teen dating violence: Recommendations from parents and youth.
Journal of Adolescence, 51, 144–155.
Black, B. M., & Weisz, A. N. (2003). Dating violence: Help-seeking
behaviors of African American middle schoolers. Violence Against
Women, 9, 187–206.
Black, M. C., Basile, K. C., Breiding, M. J., Smith, S. G., Walters, M.
L., Merrick, M. T., . . . Stevens, M. R. (2011). The National Inti-
mate Partner and Sexual Violence Survey (NISVS): 2010 Sum-
mary Report. Atlanta, GA: National Center for Injury Prevention
and Control, Centers for Disease Control and Prevention.
Burn, S. M. (2009). A situational model of sexual assault prevention
through bystander intervention. Sex Roles, 60, 779–792.
Cameron, C. A., Byers, E. S., Miller, S. A., McKay, S. L., Pierre, M. S.,
& Glenn, S. (2007). Dating violence prevention in New Brunswick.
New Brunswick: Muriel McQueen Fergusson Centre for Family
Violence Research, 1, 1.
Carlson, B. E., McNutt, L. A., Choi, D. Y., & Rose, I. M. (2002).
Intimate partner abuse and mental health: The role of social sup-
port and other protective factors. Violence Against Women, 8,
720–745.
*Casey, E. A., Lindhorst, T., & Storer, H. L. (2017). The situational-
cognitive model of adolescent bystander behavior: Modeling
bystander decision-making in the context of bullying and teen
dating violence. Psychology of Violence, 7, 33.
Casey, E. A., & Ohler, K. (2012). Being a positive bystander: Male
antiviolence allies’ experiences of “stepping up”. Journal of Inter-
personal Violence, 27, 62–83.
*Casey, E. A., Storer, H. L., & Herrenkohl, T. I. (2017). Mapping a
continuum of adolescent helping and bystander behavior within the
64 TRAUMA, VIOLENCE, & ABUSE 22(1)
context of dating violence and bullying. The American Journal of
Orthopsychiatry. doi:10.1037/ort0000245
Coker, A. L., Bush, H. M., Cook-Craig, P. G., DeGue, S. A., Clear, E.
R., Brancato, C. J., . . . Recktenwald, E. A. (2017). RCT testing
bystander effectiveness to reduce violence. American Journal of
Preventive Medicine, 52, 566–578.
Coker, A. L., Bush, H. M., Fisher, B. S., Swan, S. C., Williams, C. M.,
Clear, E. R., & DeGue, S. (2016). Multi-college bystander inter-
vention evaluation for violence prevention. American Journal of
Preventive Medicine, 50, 295–302.
Coker, A. L., Fisher, B. S., Bush, H. M., Swan, S. C., Williams, C. M.,
Clear, E. R., & DeGue, S. (2015). Evaluation of the green dot
bystander intervention to reduce interpersonal violence among col-
lege students across three campuses. Violence Against Women, 21,
1507–1527.
Cunningham, R. M., Whiteside, L. K., Chermack, S. T., Zimmerman,
M. A., Shope, J. T., Raymond Bingham, C., . . . Walton, M. A.
(2013). Dating violence: Outcomes following a brief motivational
interviewing intervention among at-risk adolescents in an urban
emergency department. Academic Emergency Medicine, 20,
562–569.
Debnam, K. J., Johnson, S. L., & Bradshaw, C. P. (2014). Examining
the association between bullying and adolescent concerns about
teen dating violence. Journal of School Health, 84, 421–428.
doi:10.1111/josh.12170
De Koker, P., Mathews, C., Zuch, M., Bastien, S., & Mason-Jones, A.
J. (2014). A systematic review of interventions for preventing
adolescent intimate partner violence. Journal of Adolescent
Health, 54, 3–13.
Edwards, K. M., Haynes, E. E., & Rodenhizer-Stämpfli, K. A. (2016).
High school youth’s reactions to participating in mixed-
methodological dating violence research. Journal of Empirical
Research on Human Research Ethics, 11, 220–230.
*Edwards, K. M., Rodenhizer-Stämpfli, K. A., & Eckstein, R. P.
(2015). Bystander action in situations of dating and sexual aggres-
sion: A mixed methodological study of high school youth. Journal
of Youth and Adolescence, 44, 2321–2336.
Exner-Cortens, D., Eckenrode, J., & Rothman, E. (2013). Longitudi-
nal associations between teen dating violence victimization and
adverse health outcomes. Pediatrics, 131, 71–78.
Foshee, V., & Langwick, S. (2010). Safe dates: An adolescent dating
abuse prevention curriculum (2nd ed.). Center City, MN:
Hazelden.
*Fry, D. A., Messinger, A. M., Rickert, V. I., O’Connor, M. K.,
Palmetto, N., Lessel, H., & Davidson, L. L. (2014). Adolescent
relationship violence: Help-seeking and help-giving behaviors
among peers. Journal of Urban Health, 91, 320–334.
Gidycz, C. A., Orchowski, L. M., & Berkowitz, A. D. (2011). Pre-
venting sexual aggression among college men: An evaluation of a
social norms and bystander intervention program. Violence
Against Women, 17, 720–742.
Goodman, L., Dutton, M. A., Vankos, N., & Weinfurt, K. (2005).
Women’s resources and use of strategies as risk and protective
factors for reabuse over time. Violence Against Women, 11,
311–336.
Haynie, D. L., Farhat, T., Brooks-Russell, A., Wang, J., Barbieri, B.,
& Iannotti, R. J. (2013). Dating violence perpetration and victimi-
zation among US adolescents: Prevalence, patterns, and associa-
tions with health complaints and substance use. Journal of
Adolescent Health, 53, 194–201.
*Hébert, M., Van Camp, T., Lavoie, F., Blais, M., & Guerrier, M.
(2014). Understanding the hesitancy to disclose teen dating vio-
lence: Correlates of self-efficacy to deal with teen dating violence.
Temida: Casopis O Viktimizaciji, Ljudskim Pravima I Rodu, 17,
43.
Hoefnagels, C., & Zwikker, M. (2001). The bystander dilemma and
child abuse: Extending the Latané and Darley model to domestic
violence. Journal of Applied Social Psychology, 31, 1158–1183.
doi:10.1111/j.1559-1816.2001.tb02668.x
Jaime, M. C. D., McCauley, H. L., Tancredi, D. J., Nettiksimmons, J.,
Decker, M. R., Silverman, J. G. . . . Miller, E. (2015). Athletic coa-
ches as violence prevention advocates. Journal of Interpersonal
Violence, 30, 1090–1111.
Jouriles, E. N., Garrido, E., Rosenfield, D., & McDonald, R. (2009).
Experiences of psychological and physical aggression in adoles-
cent romantic relationships: Links to psychological distress. Child
Abuse & Neglect, 33, 451–460.
*Jouriles, E. N., Rosenfield, D., Yule, K., Sargent, K. S., & McDo-
nald, R. (2016). Predicting high-school students’ bystander beha-
vior in simulated dating violence situations. Journal of Adolescent
Health, 58, 345–351.
Kann, L. (2016). Youth risk behavior surveillance—United States,
2015. MMWR. Surveillance Summaries, 65, 1–174.
Kaukinen, C., Anderson, K., Jasinski, J. L., Mustaine, E. E., Powers,
R. A., Hughes Miller, M., . . . Yegidis, B. (2018). The direction of
violence against women research and evaluation. Women & Crim-
inal Justice, 28, 189–211.
*Kervin, D., & Obinna, J. (2010). Youth action strategies in the pri-
mary prevention of teen dating violence. Journal of Family Social
Work, 13, 362–374.
Kim, J. E., Weinstein, E. C., & Selman, R. L. (2017). Romantic
relationship advice from anonymous online helpers: The peer sup-
port adolescents exchange. Youth & Society, 49, 369–392.
Koss, M. P., & Oros, C. J. (1982). Sexual experiences survey: A
research instrument investigating sexual aggression and victimiza-
tion. Journal of Consulting and Clinical Psychology, 50, 455.
Latané, B., & Darley, J. M. (1969). Bystanders “apathy”. American
Scientist, 57, 244–268.
Martin, C. E., Houston, A. M., Mmari, K. N., & Decker, M. R. (2012).
Urban teens and young adults describe drama, disrespect, dating
violence and help-seeking preferences. Maternal and Child Health
Journal, 16, 957–966.
*McCauley, H. L., Tancredi, D. J., Silverman, J. G., Decker, M. R.,
Austin, S. B., McCormick, M. C., . . . Miller, E. (2013). Gender-
equitable attitudes, bystander behavior, and recent abuse perpetra-
tion against heterosexual dating partners of male high school
athletes. American Journal of Public Health, 103, 1882–1887.
McMahon, S., & Farmer, G. L. (2011). An updated measure for asses-
sing subtle rape myths. Social Work Research, 35, 71–81.
*Miller, E., Das, M., Tancredi, D. J., McCauley, H. L., Virata, M. C.
D., Nettiksimmons, J., . . . Verma, R. (2014). Evaluation of a
Debnam and Mauer 65
gender-based violence prevention program for student athletes in
Mumbai, India. Journal of Interpersonal Violence, 29, 758–778.
*Miller, E., Tancredi, D. J., McCauley, H. L., Decker, M. R., Virata,
M. C. D., Anderson, H. A., . . . Silverman, J. G. (2012). “Coaching
boys into men”: A cluster-randomized controlled trial of a dating
violence prevention program. Journal of Adolescent Health, 51,
431–438.
*Miller, E., Tancredi, D. J., McCauley, H. L., Decker, M. R., Virata,
M. C. D., Anderson, H. A., . . . Silverman, J. G. (2013). One-year
follow-up of a coach-delivered dating violence prevention pro-
gram: A cluster randomized controlled trial. American Journal of
Preventive Medicine, 45, 108–112.
Molidor, C., & Tolman, R. M. (1998). Gender and contextual factors
in adolescent dating violence. Violence Against Women, 4,
180–194.
Nahapetyan, L., Orpinas, P., Song, X., & Holland, K. (2014).
Longitudinal association of suicidal ideation and physical
dating violence among high school students. Journal of Youth
and Adolescence, 43, 629–640. doi:10.1007/s10964-013-
0006-6
Nickerson, A. B., Aloe, A. M., Livingston, J. A., & Feeley, T. H.
(2014). Measurement of the bystander intervention model for
bullying and sexual harassment. Journal of Adolescence, 37,
391–400.
Palmer, J. E., Nicksa, S. C., & McMahon, S. (2018). Does who you
know affect how you act? The impact of relationships on bystander
intervention in interpersonal violence situations. Journal of Inter-
personal Violence, 33, 2623–2642.
Palm Reed, K. M., Hines, D. A., Armstrong, J. L., & Cameron, A. Y.
(2015). Experimental evaluation of a bystander prevention pro-
gram for sexual assault and dating violence. Psychology of Vio-
lence, 5, 95.
Parker, E. M., Debnam, K., Pas, E. T., & Bradshaw, C. P. (2016).
Exploring the link between alcohol and Marijuana use and teen
dating violence victimization among high school students: The
influence of school context. Health Education & Behavior, 43,
528–536.
*Plourde, C., Shore, N., Herrick, P., Morrill, A., Cattabriga, G.,
Bottino, L., . . . Stromgren, C. (2016). You the man: Theater as
bystander education in dating violence. Arts & Health, 8,
229–247.
Pulerwitz, J., & Barker, G. (2008). Measuring attitudes toward gender
norms among young men in Brazil: Development and psycho-
metric evaluation of the GEM Scale. Men and Masculinities, 10,
322–338.
Rothman, E. F., Decker, M. R., & Silverman, J. G. (2006). Evaluation
of a teen dating violence social marketing campaign: Lessons
learned when the null hypothesis was accepted. New Directions
for Evaluation, 2006, 33–44.
*Sargent, K. S., Jouriles, E. N., Rosenfield, D., & McDonald, R.
(2017). A high school-based evaluation of TakeCARE, a video
bystander program to prevent adolescent relationship violence.
Journal of Youth and Adolescence, 46, 633–643.
Sears, H. A., Byers, E. S., Whelan, J. J., & Saint-Pierre, M. (2006). “If
it hurts you, then it is not a joke” Adolescents’ ideas about girls’
and boys’ use and experience of abusive behavior in dating rela-
tionships. Journal of Interpersonal Violence, 21, 1191–1207.
Shorey, R. C., Fite, P. J., Choi, H., Cohen, J. R., Stuart, G. L., &
Temple, J. R. (2015). Dating violence and substance use as long-
itudinal predictors of adolescents’ risky sexual behavior. Preven-
tion Science, 16, 853–861.
Storer, H. L., Casey, E., & Herrenkohl, T. (2016). Efficacy of bystan-
der programs to prevent dating abuse among youth and young
adults: A review of the literature. Trauma, Violence, & Abuse,
17, 256–269.
*Storer, H. L., Casey, E. A., & Herrenkohl, T. I. (2017). Developing
“whole school” bystander interventions: The role of school-
settings in influencing adolescents responses to dating violence
and bullying. Children and Youth Services Review, 74, 87–95.
Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B.
(1996). The revised conflict tactics scales (CTS2) development and
preliminary psychometric data. Journal of Family Issues, 17,
283–316.
Taylor, B. G., Stein, N. D., Mumford, E. A., & Woods, D. (2013).
Shifting Boundaries: An experimental evaluation of a dating vio-
lence prevention program in middle schools. Prevention science,
14, 64–76.
*Van Camp, T., Hébert, M., Guidi, E., Lavoie, F., & Blais, M. (2014).
Teens’ self-efficacy to deal with dating violence as victim, perpetra-
tor or bystander. International Review of Victimology, 20, 289–303.
Waldrop, A. E., & Resick, P. A. (2004). Coping among adult female
victims of domestic violence. Journal of Family Violence, 19,
291–302.
Weisz, A. N., & Black, B. M. (2009). Help-seeking and help-giving
for teen dating violence. The Prevention Researcher, 16, 12–17.
Weitzman, A., Cowan, S., & Walsh, K. (2017). Bystander interven-
tions on behalf of sexual assault and intimate partner violence
victims. Journal of Interpersonal Violence. doi:10.1177/
0886260517696873
Wekerle, C., Leung, E., Wall, A. M., MacMillan, H., Boyle, M.,
Trocme, N., & Waechter, R. (2009). The contribution of childhood
emotional abuse to teen dating violence among child protective
services-involved youth. Child Abuse & Neglect, 33, 45–58.
Author Biographies
Katrina J. Debnam is an assistant professor in the Schools of Nursing
and Education at the University of Virginia. She holds an MPH in
health behavior and health education and a doctorate in behavioral and
community health. For over 10 years, Dr. Debnam led numerous
school-based randomized-controlled trials at Johns Hopkins Bloom-
berg School of Public Health strengthening her expertise in mixed-
methods research, including hierarchical linear modeling and the
conduct and analysis of data from focus groups and interviews. Her
research focuses on the intersection of health and education with a
strong concentration on conditions that disproportionately affect com-
munities of color. Specifically, her research interests include adoles-
cent violence prevention and dating abuse, school climate, health
disparities, and faith-based programs for positive youth development.
She is currently the Co-I/Co-PI on multiple-funded studies, including
one to evaluate the effectiveness of an intervention designed to
66 TRAUMA, VIOLENCE, & ABUSE 22(1)
address the overrepresentation of students of color in discipline and
exclusionary practices.
Victoria Mauer is a doctoral student in community psychology at the
University of Virginia and an Institute for Education Sciences (IES)
predoctoral fellow in the Virginia Education Science Training pro-
gram. She received a bachelor of arts in psychology from New York
University in 2011 and a master of arts in counseling psychology from
Northwestern University in 2014. Victoria conducts community-based
research on prevention of gender-based violence, disproportionate
minority contact in the juvenile justice system, and school-based pro-
gramming to increase prosocial connections among adolescents. Her
work is dedicated to researching community and school-based pro-
gramming targeting problematic racial and gender norms that
marginalize youth.
Debnam and Mauer 67
<<
/ASCII85EncodePages false
/AllowTransparency false
/AutoPositionEPSFiles true
/AutoRotatePages /None
/Binding /Left
/CalGrayProfile (Gray Gamma 2.2)
/CalRGBProfile (sRGB IEC61966-2.1)
/CalCMYKProfile (U.S. Web Coated \050SWOP\051 v2)
/sRGBProfile (sRGB IEC61966-2.1)
/CannotEmbedFontPolicy /Warning
/CompatibilityLevel 1.3
/CompressObjects /Off
/CompressPages true
/ConvertImagesToIndexed true
/PassThroughJPEGImages false
/CreateJobTicket false
/DefaultRenderingIntent /Default
/DetectBlends true
/DetectCurves 0.1000
/ColorConversionStrategy /LeaveColorUnchanged
/DoThumbnails false
/EmbedAllFonts true
/EmbedOpenType false
/ParseICCProfilesInComments true
/EmbedJobOptions true
/DSCReportingLevel 0
/EmitDSCWarnings false
/EndPage -1
/ImageMemory 1048576
/LockDistillerParams true
/MaxSubsetPct 100
/Optimize true
/OPM 1
/ParseDSCComments true
/ParseDSCCommentsForDocInfo true
/PreserveCopyPage true
/PreserveDICMYKValues true
/PreserveEPSInfo true
/PreserveFlatness false
/PreserveHalftoneInfo false
/PreserveOPIComments false
/PreserveOverprintSettings true
/StartPage 1
/SubsetFonts true
/TransferFunctionInfo /Apply
/UCRandBGInfo /Remove
/UsePrologue false
/ColorSettingsFile ()
/AlwaysEmbed [ true
]
/NeverEmbed [ true
]
/AntiAliasColorImages false
/CropColorImages false
/ColorImageMinResolution 266
/ColorImageMinResolutionPolicy /OK
/DownsampleColorImages true
/ColorImageDownsampleType /Average
/ColorImageResolution 175
/ColorImageDepth -1
/ColorImageMinDownsampleDepth 1
/ColorImageDownsampleThreshold 1.50286
/EncodeColorImages true
/ColorImageFilter /DCTEncode
/AutoFilterColorImages true
/ColorImageAutoFilterStrategy /JPEG
/ColorACSImageDict <<
/QFactor 0.40
/HSamples [1 1 1 1] /VSamples [1 1 1 1]
>>
/ColorImageDict <<
/QFactor 0.76
/HSamples [2 1 1 2] /VSamples [2 1 1 2]
>>
/JPEG2000ColorACSImageDict <<
/TileWidth 256
/TileHeight 256
/Quality 30
>>
/JPEG2000ColorImageDict <<
/TileWidth 256
/TileHeight 256
/Quality 30
>>
/AntiAliasGrayImages false
/CropGrayImages false
/GrayImageMinResolution 266
/GrayImageMinResolutionPolicy /OK
/DownsampleGrayImages true
/GrayImageDownsampleType /Average
/GrayImageResolution 175
/GrayImageDepth -1
/GrayImageMinDownsampleDepth 2
/GrayImageDownsampleThreshold 1.50286
/EncodeGrayImages true
/GrayImageFilter /DCTEncode
/AutoFilterGrayImages true
/GrayImageAutoFilterStrategy /JPEG
/GrayACSImageDict <<
/QFactor 0.40
/HSamples [1 1 1 1] /VSamples [1 1 1 1]
>>
/GrayImageDict <<
/QFactor 0.76
/HSamples [2 1 1 2] /VSamples [2 1 1 2]
>>
/JPEG2000GrayACSImageDict <<
/TileWidth 256
/TileHeight 256
/Quality 30
>>
/JPEG2000GrayImageDict <<
/TileWidth 256
/TileHeight 256
/Quality 30
>>
/AntiAliasMonoImages false
/CropMonoImages false
/MonoImageMinResolution 900
/MonoImageMinResolutionPolicy /OK
/DownsampleMonoImages true
/MonoImageDownsampleType /Average
/MonoImageResolution 175
/MonoImageDepth -1
/MonoImageDownsampleThreshold 1.50286
/EncodeMonoImages true
/MonoImageFilter /CCITTFaxEncode
/MonoImageDict <<
/K -1
>>
/AllowPSXObjects false
/CheckCompliance [
/None
]
/PDFX1aCheck false
/PDFX3Check false
/PDFXCompliantPDFOnly false
/PDFXNoTrimBoxError true
/PDFXTrimBoxToMediaBoxOffset [
0.00000
0.00000
0.00000
0.00000
]
/PDFXSetBleedBoxToMediaBox false
/PDFXBleedBoxToTrimBoxOffset [
0.00000
0.00000
0.00000
0.00000
]
/PDFXOutputIntentProfile (U.S. Web Coated \050SWOP\051 v2)
/PDFXOutputConditionIdentifier (CGATS TR 001)
/PDFXOutputCondition ()
/PDFXRegistryName (http://www.color.org)
/PDFXTrapped /Unknown
/CreateJDFFile false
/Description <<
/ENU
>>
/Namespace [
(Adobe)
(Common)
(1.0)
]
/OtherNamespaces [
<<
/AsReaderSpreads false
/CropImagesToFrames true
/ErrorControl /WarnAndContinue
/FlattenerIgnoreSpreadOverrides false
/IncludeGuidesGrids false
/IncludeNonPrinting false
/IncludeSlug false
/Namespace [
(Adobe)
(InDesign)
(4.0)
]
/OmitPlacedBitmaps false
/OmitPlacedEPS false
/OmitPlacedPDF false
/SimulateOverprint /Legacy
>>
<<
/AllowImageBreaks true
/AllowTableBreaks true
/ExpandPage false
/HonorBaseURL true
/HonorRolloverEffect false
/IgnoreHTMLPageBreaks false
/IncludeHeaderFooter false
/MarginOffset [
0
0
0
0
]
/MetadataAuthor ()
/MetadataKeywords ()
/MetadataSubject ()
/MetadataTitle ()
/MetricPageSize [
0
0
]
/MetricUnit /inch
/MobileCompatible 0
/Namespace [
(Adobe)
(GoLive)
(8.0)
]
/OpenZoomToHTMLFontSize false
/PageOrientation /Portrait
/RemoveBackground false
/ShrinkContent true
/TreatColorsAs /MainMonitorColors
/UseEmbeddedProfiles false
/UseHTMLTitleAsMetadata true
>>
<<
/AddBleedMarks false
/AddColorBars false
/AddCropMarks false
/AddPageInfo false
/AddRegMarks false
/BleedOffset [
9
9
9
9
]
/ConvertColors /ConvertToRGB
/DestinationProfileName (sRGB IEC61966-2.1)
/DestinationProfileSelector /UseName
/Downsample16BitImages true
/FlattenerPreset <<
/ClipComplexRegions true
/ConvertStrokesToOutlines false
/ConvertTextToOutlines false
/GradientResolution 300
/LineArtTextResolution 1200
/PresetName ([High Resolution])
/PresetSelector /HighResolution
/RasterVectorBalance 1
>>
/FormElements true
/GenerateStructure false
/IncludeBookmarks false
/IncludeHyperlinks false
/IncludeInteractive false
/IncludeLayers false
/IncludeProfiles true
/MarksOffset 9
/MarksWeight 0.125000
/MultimediaHandling /UseObjectSettings
/Namespace [
(Adobe)
(CreativeSuite)
(2.0)
]
/PDFXOutputIntentProfileSelector /DocumentCMYK
/PageMarksFile /RomanDefault
/PreserveEditing true
/UntaggedCMYKHandling /UseDocumentProfile
/UntaggedRGBHandling /UseDocumentProfile
/UseDocumentBleed false
>>
]
/SyntheticBoldness 1.000000
>> setdistillerparams
<<
/HWResolution [288 288]
/PageSize [612.000 792.000]
>> setpagedevice
2020-11-13T13:46:16+0530
Preflight Ticket Signature