PSY 5130 Week 4 Journal & Week 4 Assignment
E M P I R I C A L R E S E A R C H
Beyond the Deficit Model: Bullying and Trajectories of Character Virtues in Adolescence
Lacey J. Hilliard • Edmond P. Bowers • Kathleen N. Greenman •
Rachel M. Hershberg • G. John Geldhof • Samantha A. Glickman •
Jacqueline V. Lerner • Richard M. Lerner
Received: 12 September 2013 / Accepted: 15 January 2014 / Published online: 16 February 2014
� Springer Science+Business Media New York 2014
Abstract Previous work on peer victimization has
focused primarily on academic outcomes and negative
indicators of youth involved in bullying. Few studies have
taken a strength-based approach to examine attributes
associated with bullies and victims of bullying. As such,
we examined developmental trajectories of moral, perfor-
mance, and civic character components, and their links to
bully status using data from 713 youth (63 % female) who
participated in Wave 3 (approximately Grade 7) through
Wave 6 (approximately Grade 10) of the 4-H Study of
Positive Youth Development. Latent growth curve analyses
indicated that moral character was stable across waves,
whereas civic character increased slightly by Wave 6.
Trajectories for performance character varied; some youth
alternatively displayed positive versus negative growth.
Youth who reported bullying behavior reported lower ini-
tial levels of moral, performance, and civic character as
compared to youth not involved in bullying. Bully–victims
reported lower initial levels of moral and civic character as
compared to youth not involved in bullying. Implications
for future work examining character-related components in
the context of peer victimization are discussed.
Keywords Peer victimization � Bullying � Character � Positive youth development � Relational developmental systems � Latent growth curve � Adolescence
Introduction
Since the scientific study of adolescent development was
launched through the publication of Hall’s (1904) book on
this period of life, the deficit model of development remained
across much of the next century an important, and often
predominant, lens for theory and research (Lerner and
Steinberg 2004). Purporting that the biological changes
associated with puberty necessarily and universally created
among youth a developmental disturbance involving the
emergence of personal problems and socially problematic
behaviors (e.g., Anthony 1969; Freud 1969), this deficit
model regarded adolescents as ‘‘problems to be managed’’
(Roth and Brooks-Gunn 2003a, b). Despite evidence in the
middle decades of the twentieth century (e.g., Bandura 1960;
Douvan and Adelson 1966) that most youth showed devel-
opmental trajectories inconsistent with this deficit concep-
tion, another several decades would pass before a coherent
model of adolescent development that offered a different,
strength-based and positive model of adolescence, would
crystallize (Larson 2000; Lerner et al. 2007, 2013).
Positive Youth Development as a Framework
for Positive and Negative Behavior
The positive youth development (PYD) perspective was
derived in large part from relational developmental systems
L. J. Hilliard � E. P. Bowers � K. N. Greenman � R. M. Hershberg � S. A. Glickman � R. M. Lerner (&) Institute for Applied Research in Youth Development, Tufts
University, 309 Lincoln-Filene Building, Medford, MA 02155,
USA
e-mail: [email protected]
L. J. Hilliard
e-mail: [email protected]
G. J. Geldhof
Oregon State University, Corvallis, OR, USA
J. V. Lerner
Boston College, Chestnut Hill, MA, USA
123
J Youth Adolescence (2014) 43:991–1003
DOI 10.1007/s10964-014-0094-y
theories (Overton 2013; Overton and Muller 2012) that
emphasize that the basic process of adolescent develop-
ment involves mutually influential relationships between
the developing individual and the multiple levels of his or
her changing context. These bidirectional relationships
regulate the course of development (i.e., its pace, direction,
and outcomes). History, or temporality, is part of the
ecology of human development that is integrated with the
individual through these developmental regulations. As
such, there is always change and, as well, at least some
potential for systematic change (i.e., for relative plasticity),
across the life span (Baltes et al. 2006; Lerner 1984). Such
plasticity represents a fundamental strength of the adoles-
cent period (Lerner et al. 2009b), in that it reflects the
potential that systematic changes may result in more
positive functioning. Indeed, if adaptive developmental
regulations emerge or can be fostered between young
people and features of their context (e.g., the structure and
function of his or her family, school, peer group, and
community), then the likelihood will be increased that
youth may thrive (that is, manifest healthy, positive
developmental changes) across the adolescent decade. In
short, predicated on developmental systems theories, the
links among the ideas of relative plasticity, mutually ben-
eficial (i.e., adaptive; Brandstatter 1998) developmental
regulations, and thriving suggest that all young people have
strengths that may be capitalized on to promote thriving
across the adolescent years.
There is growing evidence that the PYD perspective is a
useful frame for understanding the processes linking youth
and features of their context across the adolescent years
and for accounting for outcomes of these individual-con-
text relationships that are associated with features of
positive development, for instance, the ‘‘Five Cs’’ of
positive development (Competence, Confidence, Charac-
ter, Connection, and Caring) and for the links between
these ‘‘C’’s and other indicators of thriving, for example, a
‘‘sixth C,’’ of youth Contribution to self, family, school,
and civil society (Lerner et al. 2005, 2010, 2011, 2013;
Zaff et al. 2010). Moreover, early formulations of the PYD
perspective (e.g., Pittman et al. 2001) contended that, as
PYD would increase across adolescence, then problem
behaviors would decrease across this period. However,
data derived from the 4-H Study of PYD indicated that
links between positive and problem or risk behaviors,
although reflecting an overall inverse relationship, indi-
cated also that the relationship was far from perfect
(Gestsdottir and Lerner 2008; Jelicic et al. 2007; Lerner
et al. 2005). In addition, studies of trajectories of positive
and risk or problem behaviors across adolescence sug-
gested that there were diverse patterns of change for both
types of attributes and that some youth (e.g., girls) could
have trajectories reflecting high levels of the Five Cs and
Contribution and trajectories of problematic behavior and
depressive symptoms (e.g., Phelps et al. 2007; Urban et al.
2009).
In turn, Ma and her colleagues found that another
problem behavior—bullying—was, under specific circum-
stances, linked to indicators of positive functioning. That
is, studying youth from the first and second waves of the
4-H Study (approximately Grades 5 and 6), Ma et al.
(2009a) found that the educational expectations of youth
and school engagement interacted in fostering academic
competence among bullies and victims of bullying. In turn,
among youth from the first three waves of the 4-H Study
(approximately Grades 5–7), Ma et al. (2009b) found that
parent and teacher support independently and positively
predicted self-perceived academic competence among both
bullies and victims.
The links between positive and problematic behaviors
found in the 4-H Study data set have several implications
for the PYD model and, as well, for applications derived
from it. First, the development of positive characteristics of
youth development does not imply for all youth that neg-
ative, problematic behaviors will therefore diminish in
likelihood. Therefore, despite initial claims to the contrary
(e.g., Pittman et al. 2001), extant data suggest that efforts to
promote positive behaviors should not ignore the need to
diminish problem behaviors. Youth development programs
need to engage in efforts to both promote (positive attri-
butes) and prevent (problematic attributes); prevention and
promotion need to be coupled in a comprehensive approach
to enhance health and psychosocial thriving among youth
(Maggs and Schulenberg 2001; Schwartz et al. 2007).
Therefore, the PYD model, although a strength-based
conception of adolescence, does not eliminate the need to
understand how the relational developmental system may
function to create the basis for person–context relations
that result in risk and problem behaviors in youth.
Second, the nuances in connections between patterns of
positive and problematic attributes across adolescence that
have been found in the 4-H Study (Ma et al. 2009a, b;
Phelps et al. 2007; Urban et al. 2009) suggest the need to
explore further the potentially diverse ways in which
positive and problematic attributes may be linked across
adolescence. Indeed, such information will be vital in
efforts to plan integrated promotion and prevention inter-
vention programs derived from answers to complex ques-
tions such as ‘‘what positive attributes come together with
what problematic attributes during what portions of ado-
lescence?’’ The findings of Ma et al. (2009a, b) suggest
that, at least for one problem behavior, bullying, links with
indicators of positive functioning (academic performance)
exist but vary in nuanced ways, that is, in regard to grade
level and to facets of individual functioning (e.g., school
engagement, expectations about academic success) and of
992 J Youth Adolescence (2014) 43:991–1003
123
context (e.g., social support from either parents or teach-
ers). However, what remains unclear from the Ma et al.
(2009a, b) findings regarding bullying-positive behavior
links is why the links between problematic attributes and
particular facets of positive attributes exist. For instance,
why does bullying relate to, say, adult instances of social
support but not to instances of peer social support (Ma
et al. 2009b)? Other research related to risk behavior has
demonstrated that problem behaviors tend to be interrelated
and share common risk and protective factors (Donovan
et al. 1991; Jessor 1991).
The present study seeks to address this question and to
extend the literature on the nature of the associations
between positive and problematic attributes in adolescence.
We use the 4-H Study data set and, again, focus on bul-
lying. In turn, we assess also one specific facet of the Five
Cs model of PYD—character—because we think that
current scholarship about character presents the opportu-
nity to derive hypotheses pertinent to the conditions under
which the link between problematic attributes and positive
attributes will exist.
The Contemporary Study of the Development
of Character Virtues
Interest in character dates at least from Aristotle’s Nico-
machean Ethics, which discussed several moral virtues
(e.g., courage, generosity, gentleness, honesty, justice, and
fairness) associated with leading a good life. Nevertheless,
scientific attention to character virtues has waxed and
waned since the classic studies of honesty conducted by
Hartshorne and May (1928). However, across the past
25 years there has been an increasing interest in this
domain of human development (e.g., Damon 1988; Damon
and Lerner 2008; Eisenberg et al. 2006; Lapsley and
Narvaez 2006; Peterson and Seligman 2004). Particularly
relevant for the present research is the model of character
presented by Berkowitz (2011), which provides a means to
differentiate among domains of character. For instance,
character virtues 1
such as empathy, fairness, trustworthi-
ness, generosity, and compassion are aspects of the
capacity for interpersonal relationships (Berkowitz 2011;
Lickona and Davidson 2005; Nucci and Narvaez 2008).
These qualities make up what Berkowitz (2011) and other
researchers call ‘‘moral character.’’ In other words, moral
character consists of virtues relevant to striving for ethical
behavior in one’s relationships with other individuals and
include attributes like empathy and integrity (Noddings
1994; Pratt et al. 2009; Walker and Pitts 1998).
In turn, character virtues such as effort, initiative, dili-
gence, and perseverance constitute the capacity to work
well and productively (Duckworth and Seligman 2005;
Farrington et al. 2012; Lickona and Davidson 2005). These
qualities comprise ‘‘performance character,’’ as they enable
individuals to thrive in an environment conducive to
achievement (Seider et al. 2012). In other words, perfor-
mance character consists of virtues that allow individuals
to regulate their thoughts and actions in ways that support
their personal achievement in a particular endeavor
(Davidson et al. 2011; Seider et al. 2012; Sokol et al.
2010). Examples of such qualities include persistence and
self-discipline.
Scholars have also discussed character virtues related to
civic character, that is, attributes such as social skills and
social knowledge. These attributes thus enable responsible
and engaged citizenship (Boston et al. 2005; Seider 2012;
Shields 2011). In other words, civic character strengths
consist of the qualities relevant to active and engaged cit-
izenship and can be demonstrated through local or global
community perspective and involvement (Boston et al.
2005; Seider 2012; Shields 2011).
Although past research using the 4-H Study data set has
studied character as part of the Five Cs, and treated this
construct as global and undifferentiated, the differentiation
in contemporary scholarship about character into virtues
associated with morality, performance, and civic engage-
ment enables us to suggest that there may be distinct
associations between bullying and some, but not all,
character virtues. As expressed by Berkowitz (2011) and
Seider (2012) the attributes of performance character
involve mastery and achievement by an individual and do
not have the interpersonal fairness attributes associated
with moral character or the interpersonal/social duty attri-
butes associated with civic character. Indeed, Berkowitz
and Puka (2009) have noted that performance character
components are neither intrinsically good nor bad but
rather ‘‘derivative of the ends toward which they are
applied’’ (p. 108). In contrast, moral character strengths can
be understood as ‘‘interpersonal ethical imperatives’’ that
are intrinsically good independent of context (Berkowitz
and Puka 2009, p. 108). In turn, civic character is associ-
ated with experiences that connect youth positively to
others, and that can have a significant impact on youth to
broaden their perspectives toward social action (Seider
2007). Thus, it may be that if an aspect of positive devel-
opment is more individually oriented (as is the case with
performance character) than interpersonally or socially
oriented (as is the case with both moral and civic charac-
ter), then links to bullying may be expected to be more
1 In this article, we use the term ‘‘character virtues,’’ and not
‘‘character strengths,’’ although the latter term has been used in the
literature as well (e.g., see Lapsley and Narvaez 2006). However, in
the PYD literature, strengths are defined as developmental assets
(Benson et al. 2011), and we elected not to assume that the attributes
of character we were assessing were strengths. We chose to test their
empirical relationships with indicators of positive development.
J Youth Adolescence (2014) 43:991–1003 993
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likely. Indeed, we can hypothesize that high relationships
between bullying and character virtues exist only in regard
to performance virtues; there should be no or low rela-
tionships between moral or civic virtues and bullying. The
nature of bulling by youth underscores the basis for these
expectations.
That is, youth bullying is inherently devoid of concern
for the welfare of or fairness to others. Bullying constitutes
peer victimization or peer harassment, and involves repe-
ated, unprovoked, harmful actions by one youth or multiple
youth towards others (Ma et al. 2009a, b; Olweus et al.
1999). The acts may be physical or psychological. Physical
or direct bullying includes hitting, kicking, pushing, grab-
bing items from other children, and engaging in very rough
and intimidating play (Olweus et al. 1999). Psychological
bullying includes name-calling, making faces, teasing,
taunting, and making threats. Indirect or less obvious and
less visible bullying includes exclusion and rejection of
children from a group (Olweus 1991; Smith et al. 1999).
Scholars of bullying further assert that an imbalance of
power between the bully and the victim is essential to
identifying bullying behavior and differentiating this
behavior from other forms of aggression (Solberg and
Olweus 2003). Victims are often put in a difficult position
where they are unable to defend themselves or find solu-
tions to the situations given the power imbalance. Con-
siderations of the power dynamics in peer relationships are
crucial to understanding the nature and impact of bullying
behavior and victimization.
Recent work has conceptualized the experience of bul-
lying as a process, rather than isolated incidences (e.g.,
Espelage and Swearer 2003; Nickerson et al. 2005); this
work is focused on identifying individual and contextual
factors that may buffer the effects of victimization and help
to understand youth who engage in bullying behavior.
Although our measurement tools are limited in the current
work to reported instances of behaviors, we nevertheless
recognize the importance of recognizing the dynamic
relationships between peers in our hypotheses and inter-
pretations. Based on the PYD theoretical framework and
the aforementioned work, we posit that scholars should aim
to extend research beyond cataloguing negative outcomes
of victimization, and instead, toward a more nuanced
examination of youth who engage in and experience bul-
lying behaviors.
The Current Study
Accordingly, we propose to examine the links between
bullying and character in adolescence by studying the
development of performance, civic, and moral character in
middle and high school aged youth in relation to their self-
reported bullying status. We examined trajectories of, and
possible interrelationships among, moral character, civic
character, and performance character trajectories. We then
assessed if bullying (or being in another category of bul-
lying—victim, bully–victim; Olweus et al. 1999) was dif-
ferentially associated with the trajectories for the three
character types.
We used the 4-H Study data set, assessing participants
across Wave 3 (approximately Grade 7) to Wave 6
(approximately Grade 10). Bullying status from Wave 3 was
used to correlate with the character trajectories. This time
period of adolescence was chosen given the peak of bullying
experiences in the middle school years, though persistence of
bullying behavior continues throughout the high school
years; that is, direct, physical bullying increases in elemen-
tary school, peaks in middle school and declines in high
school, whereas verbal abuse remains constant across high
school (Robers et al. 2010). A recent nationwide survey
showed that about 25 % of public schools reported that
bullying occurred among students on a daily or weekly basis;
middle schools reported daily or weekly occurrences of
bullying, a higher frequency than primary and high schools
(Eaton et al. 2010). Thus, our sample represented youth who
may be likely to be engaging in and/or experiencing frequent
peer victimization.
We predicted that the character trajectories would vary
by bully type. Specifically, it was hypothesized that bul-
lying would be negatively associated with moral and civic
character trajectories, but would be related to performance
character trajectories, given the nature of this type of
character and findings that bullies display performance
character strengths (Sutton et al. 1999). We also expected
that youth not involved in bullying would exceed bullies in
civic and moral character domains. We made no predic-
tions, however, regarding bully–victims (i.e., youth that
report high levels of both bullying behavior and instances
of being bullied).
Method
Full details of the 4-H Study of Positive Youth Development
have been presented elsewhere (Lerner et al. 2005, 2009a, b,
2010, 2011). Therefore, we present here only the features of
the methods relevant to the present research, which includes
data from Waves 3 through 6. A discussion of the overall
method of the 4-H Study is provided in the introductory
article of this special issue (Bowers et al. in press).
Participants
Our sample in Wave 3 included 713 youth, 90.4 % of
whom were in 7th Grade. These youth were 63.3 % female,
994 J Youth Adolescence (2014) 43:991–1003
123
with a mean age of 12.98 years (SD = 0.51). Of the youth
who reported their race, 70.4 % were European American,
8.6 % were Latino/a, 8.3 % were African American, 4.0 %
were Asian American, 4.3 % were Multiracial, and 2.0 %
were American Indian. An additional 24.8 % of the sample
did not provide information on their race.
Our sample in Wave 4 included 657 youth, 92.6 % of
whom were in 8th Grade. These youth were 63.0 % female,
with a mean age of 14.06 years (SD = 0.59). Of the youth
who reported their race, 71.5 % were European American,
8.7 % were Latino/a, 9.8 % were African American, 4.7 %
were Asian American, 3.2 % were Multiracial and 2.0 %
were American Indian.
Our sample in Wave 5 included 567 youth, 91.4 % of
whom were in 9th Grade. These youth were 63.3 % female,
with a mean age of 15.05 years (SD = 0.60). Of the youth
who reported their race, 64.8 % were European American,
12.4 % Latino/a, 9.6 % were African American, 4.8 %
were Asian American, 3.0 % were Multiracial and 2.8 %
were American Indian. An additional 39.3 % of the sample
did not provide information on their race.
Our sample in Wave 6 included 580 youth, of whom
79.0 % were in 10th Grade. These youth were 67.2 %
female, with a mean age of 15.98 years (SD = 0.77). Of
the youth who reported their race, 74.6 % were European
American, 8.0 % Latino/a, 8.0 % were African American,
2.8 % were Asian American, 3.3 % were Multiracial and
.7 % were American Indian. An additional 38.0 % of the
sample did not provide information on their race.
Measures
Bullying Status
We used the two global questions from the Olweus Bul-
lying Questionnaire (Olweus 1996) to assess an adoles-
cent’s bullying status. The Olweus Bullying Questionnaire
is, arguably, the most widely used tool for studying school
bullying and has good psychometric properties (Solberg
and Olweus 2003). As suggested by Olweus (1996), we
provided a short and readable introductory paragraph to
describe the main characteristics of bullying, including
power imbalance and intention to hurt. The common for-
mats of bullying, such as physical attack, cruel teasing, and
social exclusion, were also described in the introduction
paragraph. We then presented the two global questions
about bullying: (1) ‘‘How often have you taken part in
bullying another child or other children?’’ and (2) ‘‘How
often have you been bullied?’’ in the past couple of months.
Response alternatives are ‘‘never,’’ ‘‘only once or twice,’’
‘‘two or three times a month,’’ ‘‘about once a week,’’ and
‘‘several times a week.’’
Following the ‘‘two or three times a month’’ cutoff point
suggested by Solberg and (Olweus 2003), answers to these
two bullying questions were recoded into two dichotomous
variables: ‘‘bullying peers’’ and ‘‘being bullied by peers.’’
‘‘Bullying peers’’ = 1, if the answer to the first bullying
question is ‘‘two or three times a month,’’ ‘‘about once a
week,’’ or ‘‘several times a week;’’ and if the answer to the
first question is ‘‘never’’ or ‘‘only once or twice,’’ ‘‘bullying
peers’’ = 0. Similarly, ‘‘being bullied by peers’’ = 1, if the
answer to the second bullying question is ‘‘two or three
times a month,’’ ‘‘about once a week,’’ or ‘‘several times a
week;’’ if the answer to the second question is ‘‘never’’ or
‘‘only once or twice,’’ ‘‘bullying peers’’ = 0. In the 4-H
Study data set, the bullying questions demonstrated good
validity (Ma et al. 2009a). Higher scores on question 1
were correlated with higher problem behaviors, such as
alcohol and drug use (r = .34, p \ .01); higher delin- quency (r = .41, p \ .01); higher levels of depressive symptoms, as indexed by the Center for Epidemiological
Studies Depression Scale (Radloff 1977; r = .22, p \ .01); and lower sympathy, as indexed by Eisenberg’s Sympathy
Scale (Eisenberg et al. 1996; r = -.16, p \ .01). In turn, higher scores on the second question were associated with
higher levels of depressive symptoms (r = .25, p \ .01); lower social competence (r = -.22, p \ .01); and lower self-worth, as indexed by the Self-Perception Profile for
Children, (SPPC, Harter 1988; r = -.15, p \ .01). These correlations are consistent with the literature, and thus
provide evidence for the validity of the two questions about
experiences of bullying peers and being bullied by peers
(Nansel et al. 2001; Smith et al. 1999).
Three dummy variables were created to indicate an
adolescent’s bullying status: Bully (being a bully vs oth-
ers), Victim (being a victim vs others), and Bully–Victim
(being a bully and a victim vs others). The reference group
for these dummy variables is the comparison group, ‘‘none
of the above.’’ Although the study of the heterogeneity of
members of the comparison group, who are not directly
involved in bullying, is an interesting topic (O’Connell
et al. 1999; Smith 2004), it is beyond the scope of the
present study. As such, there are potentially four bullying
statuses measured in this study: bully, victim, bully–victim,
and comparison group.
Character
We selected specific scales—described below—to repre-
sent components of moral, performance, and civic char-
acter. These items reflect the RDS framework, focusing not
only on person-centered attributes, but also on attributes
that reflect bidirectional person–context interactions.
J Youth Adolescence (2014) 43:991–1003 995
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Moral Character Moral character was measured by six
items from the Behavioral Conduct subscale form the Self-
Perception Profile for Adolescence (Harter 1988). This
questionnaire assesses adolescents’ perceptions of compo-
nents of self-concept. Youth are asked to record which of
two statements is most like them, and then rate how true
that statement is for them. Each item receives a score of
1–4, and responses are averaged within each subscale. The
Cronbach’s alpha for this scale was 0.78. The Behavioral
Conduct subscale measures the degree to which adoles-
cents do the right thing, act the way they are supposed to,
and avoid getting in trouble. An example of an item from
the Behavioral Conduct scale is ‘‘Some teenagers usually
do the right thing BUT Other teenagers often don’t do the
right thing.’’
Performance Character Performance character is defined
by persistence, self-discipline, and regulation; therefore,
items assessing orientation to and persistence in tasks
provide an appropriate index of performance character. To
assess this attribute, we used the Task Orientation subscale
from the child (self) version of the Revised Dimensions of
Temperament Survey (DTOR-S; Windle and Lerner 1986).
An example item from the Task Orientation subscale is
‘‘Once I am involved in a task, nothing can distract me
from it.’’ For each item, participants responded using a
four-point Likert-type scale ranging from 1 = usually false
to 4 = usually true. The sum of the items for each subscale
provides three temperament subscale scores. The Task
Orientation subscale has a maximum score of 32 and is
coded such that a higher score indicates greater persistence
and lower distractibility. Cronbach’s alpha for Waves 3
through 6 were and 0.77, .78, .81, and .80, respectively.
Civic Character Civic character was measured using 12
items that were weighted and summed to create a com-
posite score of contribution, as used in prior research
derived from the 4-H Study (Bowers et al. 2011; Jelicic
et al. 2007). These items were from four scales: leadership,
service, helping, and ideology. Items from the leadership,
service, and helping scales measured the frequency of time
youth spent helping others (e.g., friends or neighbors),
providing service to their communities, and acting in
leadership roles; together, the leadership, service, and
helping subsets comprise an action component of Contri-
bution. The ideology scale measured the extent to which
contribution was an important facet of participants’ iden-
tities (e.g., ‘‘It is important to me to contribute to my
community and society’’). These items are derived from
existing instruments with known psychometric properties
and used in large-scales studies of adolescents, that is, the
Profiles of Student Life-Attitudes and Behaviors Survey
(PSL-AB; Leffert et al. 1998) and the Teen Assessment
Project Survey Question Bank (TAP; Small and Rodgers
1992). The action and ideology components are weighted
equally to calculate the civic character scores. Cronbach’s
alphas range from .69 to .73.
Procedure
In Waves 1 through 3 of the 4-H Study, data collection
from youth was conducted by trained study staff or, at more
distant locations, hired assistants. A detailed protocol was
used to ensure that data collection was administered uni-
formly and to ensure the return of all study materials. After
Wave 1, youth who were absent on the day of the survey or
were from schools or programs that did not allow on-site
testing were contacted by e-mail, mail, or phone, and were
asked to complete and return the survey to us. Beginning in
Wave 5, youth completed the survey online unless they
requested a paper survey. Parents completed online or
paper surveys. Paper surveys were delivered to their homes
by their children or through the mail (in the latter case,
return postage was provided).
Analyses
In this article, we discuss self-reported bullying status and
its relationship to the joint development of performance,
civic, and moral character across four waves of the 4-H
Study (Waves 3 through 6; see Lerner et al., this volume
for details). We examined these relationships by fitting a
three-trajectory latent growth curve model (LGCM) that
specified separate quadratic growth trajectories for the
three instantiations of character described above. Each
trajectory included random intercepts and random linear
slopes, but fixed (i.e., not random) quadratic slopes.
To ensure that the fit of our model was not biased by
misfit of the data covariance matrix (for a discussion, see
Wu et al. 2009), we freely estimated single-lag autore-
gressive correlations for all indicators and estimated
covariances between all indicators measured within each
wave to account for potential time of testing effects (e.g.,
we estimated covariances between Wave 4 moral charac-
ter, civic character, and performance character). We
ensured that this model sufficiently fit our data before
additionally modeling the items’ mean structure. Non-
signficant means and level-two variances for our growth
parameters were then constrained to zero using a series of
single-degree-of-freedom likelihood ratio tests. We then
added self-reported bullying status at Wave 3 as a level-
two variable to determine if bullying was significantly
related to participants’ initial levels of character (as
approximated by the random intercepts) or to the rate of the
character measures’ development (i.e., the random linear
slopes).
996 J Youth Adolescence (2014) 43:991–1003
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Results
The initial covariance structure model displayed adequate
fit (v2(24) = 39.89, p = .022; RMSEA = .01, 90 % CI [.01, .02]; CFI = 1.00; TLI = .99; BIC = 85,716.09),
suggesting that fit for our LGCM would not be biased by
misfit of the data covariance matrix. The addition of a
mean structure to this model significantly decreased model
fit (Dv2(3) = 68.07, p \ .001; DBIC = 43.23), however, suggesting that quadratic growth trajectories were not
sufficient to describe our data’s mean structure. Examina-
tion of the standardized residuals and modification indices
suggested an additional fixed linear slope for the devel-
opment of moral character during Waves 5 and 6, and a
model with this additional parameter fit the data statisti-
cally as well as our covariance structure model
(Dv2(2) = 0.73, p = .694; DBIC = -15.825). We then constrained the variance of the linear moral and civic
character slopes to zero and constrained the mean slope of
the moral character trajectory to zero without significantly
altering our model’s fit (i.e., p for all Dv2(1) tests [.001; BIC decreased after each constraint was added).
2
Details of our final LGCM are presented in Tables 1 and
2. Table 1 presents the estimated means and variance for
our growth trajectories and supplement the visual repre-
sentations of our growth trajectories presented in Figs. 1, 2,
3. As these results show, moral character was generally
stable across the four years considered, whereas civic
character increased slightly in Wave 6. The trajectories for
performance character varied such that some individuals
alternatively displayed positive versus negative growth.
Table 2 complements the information in Table 1 and
our figures by presenting the estimated correlations among
all freely varying latent growth parameters. This table
shows a relatively high correlation among all three random
intercepts, which, when taking the intercepts as a rough
proxy for initial standing on the three variables, suggests
that participants who scored higher on one of the character
measures at Wave 3 also tended to score higher on the
other forms of character. Only the linear slope of perfor-
mance character significantly varied across participants
and, although this slope did not strongly correlate with the
intercepts for civic or moral character, the random slope
displayed a strong negative correlation with the random
intercept of performance character. Thus, participants who
started higher on performance character tended to display
lower (potentially negative) linear slopes on that same
variable. Similarly, participants who started lower on per-
formance character tended to have higher slopes. These
results may suggest regression to the mean and should be
further examined in subsequent research.
In our last stage of analysis we tested whether self-
reported bullying status at Wave 3 significantly correlated
with the random growth parameters in our model. This final
model displayed acceptable fit (v2(65) = 103.59, p \ .001; RMSEA = .02, 90 % CI [.01, .02]; CFI = .98; TLI = .97)
and suggested very weak correlations between bullying
status and our growth parameters. Table 3 presents all
2 All analyses initially included tests for gender differences. None
were found, and therefore we report no results linked to gender.
40
50
60
70
80
3 4 5 6 Wave
Civic Character
Fig. 1 Development of civic character. Lines indicate the mean trajectory and trajectories with intercepts ±1 SD from the mean
Table 1 Means and variances for growth parameters
Parameter Mean (SE) Variance (SE)
Intercept
Moral 3.06 (.01)*** 0.18 (.01)***
Performance 21.50 (.10)*** 11.46 (2.59)***
Civic 55.93 (.36)*** 163.82 (7.31)***
Linear slope
Moral 0.00 (fixed) 0.00 (fixed)
Performance -0.89 (.16)*** 1.64 (.58)***
Civic -1.17 (.49)* 0.00 (fixed)
Quadratic slope
Moral -0.16 (.02)*** 0.00 (fixed)
Performance 0.24 (.05)*** 0.00 (fixed)
Civic 0.65 (.16)*** 0.00 (fixed)
Spline slope
Moral 0.70 (.06)*** 0.00 (fixed)
* p \ .05; ** p \ .01; *** p \ .001
Table 2 Correlations among growth parameters
1 2 3 4
1. Intercept—moral 1.00
2. Intercept—civic 0.53*** 1.00
3. Intercept—
performance
0.54*** 0.42*** 1.00
4. Slope—performance -0.13* -0.01 -0.57*** 1.00
* p \ .05; ** p \ .01; *** p \ .001
J Youth Adolescence (2014) 43:991–1003 997
123
correlations from this model and shows that being a self-
reported bully negatively correlated with overall self-
reported levels of character (i.e., the random intercepts). As
with the negative correlation between the intercept and
slope of performance character, the slope of performance
character also weakly, but positively, correlated with being
a self-reported bully.
Discussion
Bullying is recognized as a significant issue affecting
youth, and it is thus imperative to examine youth
experiences and the characteristics of those affected by
bullying and peer victimization. The aim of the current
study was to explore the links between bullying and
character in adolescence by examining the development of
performance, civic, and moral character in middle and high
school aged youth related to their self-reported bullying
status. Specifically, we examined the trajectories and
relationships among moral, civic, and performance char-
acter and if bully status was differentially associated with
these character types.
Bullying Status and Character Virtues
Our results indicate that across middle adolescence, youth
moral character was relatively stable, whereas civic char-
acter increased slightly by Wave 6, and some young people
reported decreases or increases in performance character.
These results indicate that in general youth consistently see
themselves as relatively doing right or wrong actions
across middle adolescence, but they report slight increases
in behaviors reflective of active citizenship. In turn, some
youth reported increases in their ability to maintain focus
on a task, whereas others reported a loss in task orientation
over middle adolescence.
Findings showed that bullying status correlated with
initial levels of all three types of character and the slope of
performance character. Youth who reported being bullies
reported lower initial levels of moral, civic, and perfor-
mance character as compared to youth not involved in
bullying. Bully–victims reported lower initial levels of
moral and civic character as compared to youth not
involved in bullying. Bullies, on the other hand, reported
increases in performance character over time. That is,
youth identified as bullies were less likely than youth not
involved in bullying to report behaving well and treating
others well (moral-related character), and persisting and
staying focus on a task (performance-related character),
and thinking and acting to contribute to their communities
(civic-related character). Similarly, youth who reported
being bullies and being bullied by others (bully–victims)
reported lower levels of moral and contribution thoughts
and behaviors than youth not engaged in bullying situa-
tions. There were no differences in initial levels or changes
in moral, civic, or performance character between victims
and youth not involved in bullying.
Of note is the finding that bullies tended to show more
positive slopes for performance character than youth not
involved in bullying. It is possible that this finding reflects
motivations for bullying in middle school that have been
insufficiently researched in the bullying literature. Specif-
ically, if bullies have lower performance character when
they report occupying bully statuses, their bullying
behaviors may be a form of externalizing negative
Table 3 Correlations between self-reported bullying and growth parameters
Bully Victim Bully–Victim
1. Intercept—moral -.22 ***
-.06 -.17 ***
2. Intercept—civic -.11 **
.00 -.09 **
3. Intercept—performance -.16 ***
-.01 -.06
4. Slope—performance .12 *
.00 .03
* p \ .05; ** p \ .01; *** p \ .001
0
5
10
15
20
25
30
35
3 4 5 6
Wave
Performance Character
Fig. 3 Development of performance character. Lines indicate the mean trajectory and trajectories with intercepts and slopes ±1 SD
from the mean. Note that the intercept and slope were negatively
correlated in our results and the downward trajectory shown does not
necessarily reflect any single participant’s data
0
1
2
3
4
5
6
7
3 4 5 6 Wave
Moral Character
Fig. 2 Development of moral character. Lines indicate the mean trajectory and trajectories with intercepts ±1 SD from the mean
998 J Youth Adolescence (2014) 43:991–1003
123
behaviors in response to poor academic skills and low
achievement (Anderson et al. 2002). Moreover, as research
has shown, when youth are struggling academically, they
are also likely to be experiencing low self-esteem and other
negative socio-emotional consequences (e.g., van Lier
et al. 2012).
In this study, we only captured youth bullying statuses at
one time point in 7th Grade. It is therefore possible that the
youth who self-identified as bullies in 7th Grade adopted
more adaptive social roles and experiences later in ado-
lescence. Thus, the 7th Grade bully with low performance
character in this study may have become a mature and
caring 10th Grader with high levels of performance char-
acter. The evidence of growth in performance character
may very well explain the pathway to changing bullying
statuses throughout adolescence—an area of bullying
research that deserves further exploration. Likewise, the
link between youth bullying behavior and performance
character may reflect misdirected strengths in use and
provide further evidence that youth can hold positive and
negative characteristics simultaneously (e.g., controversial
peer status; Newcomb et al. 1992; problematic behaviors;
Arbeit et al., this volume).
Findings related to bully status and character thus
illustrate the importance of understanding the diversity of
adolescence and assumptions about behavior and strengths.
Given the heterogeneity of youth who report bullying,
many of these youth may show high community engage-
ment, have a high moral orientation, or show diligence in
school. One might suspect that maintaining a higher peer
status (a component in defining bullies; Solberg and Olw-
eus 2003) may necessitate these high character virtues in an
effort to advance themselves and gain or hold their status.
Therefore, a more nuanced and comprehensive examina-
tion of these character virtues and how they are expressed
is necessary. Harnessing youth performance character
attributes through positive contexts, skilled mentorship,
and other important non-parental adult youth relationships
(e.g., with a coach, teacher, minister, aunt, uncle) may help
youth use these characteristics as strengths; adult mentors
may then be able to decrease the time youth spend bullying
and increase youth potential to contribute positively to their
contexts.
Character Virtue Trajectories
Regardless of whether youth reported increases or decreases
in performance character over time, initial performance
character at Wave 3 was significantly related to initial moral
and civic character. That is, participants who reported higher
levels of one type of character at Wave 3 tended to report
high levels of the other forms of character as well. In turn,
participants who reported higher levels of moral character
were also more likely to report lower slopes of performance
character over time. Similarly, participants who reported
higher levels of performance character at Wave 3 reported
lower slopes in performance character. It appears that youth
view whether they are behaving well or poorly, and how they
treat others, as stable across these years of adolescence. This
finding is potentially concerning for youth who bully as it
seems that young people do not view themselves as changing
in fundamental ways.
The results of these trajectory analyses are consistent
with prior work with data derived from the 4-H Study. For
example, prior research has shown that overall PYD is
relatively stable across time (Urban et al. 2009), just as
youth in our study did not report significant changes in our
index of moral character over middle adolescence. In
addition, prior work examining trajectories of intentional
self regulation (Bowers et al. 2011) found that some youth
reported increases in performance character over middle
adolescence, although other youth reported decreases in
performance character. Further, we found that youth
showed an increase in their attitudes and abilities to civ-
ically engage in their communities and to contribute pos-
itively over time. This finding is consistent with prior work
on active and engaged citizenship (Zaff et al. 2011). Per-
haps as youth mature, they are exposed to new ideas and
opportunities to contribute to their contexts. As these
experiences increase, youth may view themselves as more
competent and able to effect change.
Some youth also reported increases in performance
character over the four waves. As these youth progressed
through middle adolescence, they reported higher persis-
tence and lower distractibility when completing tasks.
Certain youth, however, reported decreases in task orien-
tation over time. Future work should examine possible
intraindividual and interindividual correlates of these
changes over time. New opportunities and domains
encountered by youth as they progress through adolescence
may promote or hinder their ability to persist and maintain
focus on their goals. Our hope would be that well-designed
classroom and out-of-school time activities could be
identified that promote the positive changes reported by
youth in both performance and civic character.
We did not find correlations between changes in the
three types of youth-reported character. This finding thus
poses a challenge to researchers and practitioners to
describe, explain, and optimize adolescent development
such that each seem to represent unique components of
character. In his work with three schools that have explicit
foci on moral-, performance-, and civic-related compo-
nents, Seider (2012) found that each school had levels of
success that differed according to the specific school-wide
emphasis. These schools’ achievements demonstrate the
successful promotion of positive qualities in youth through
J Youth Adolescence (2014) 43:991–1003 999
123
domain-specific initiatives, yet nonetheless highlight the
challenge of developing domain-general character educa-
tion programs.
Our results indicated that participants who reported
higher initial levels of moral character were also more
likely to report a very small, but significant decrease in the
slope of performance character over time. Similarly, par-
ticipants who reported higher levels of performance char-
acter at Wave 3 reported smaller slopes in performance
character. One could also argue that our results indicate
that the three types of character are interrelated as initial
levels are strongly correlated and the changes we report are
minor and may be practically insignificant. Future work
should examine additional indices of each type of character
as the associations we see may be due to the use of
instruments not designed specifically to index these types
of character and that each index was based on youth self-
reported items. In addition, there were no gender differ-
ences found in the present analyses. Nonetheless, future
research should explore whether individual differences
related to gender or background might exist in different
samples, especially ones that involve measurement models
other than the one involved in the present research.
Limitations of and Implications Beyond the Current
Study
Findings showed that youth who engaged in bullying
behavior demonstrated lower levels character virtues at the
initial assessment. In addition, youth moral character
stayed fairly constant over time, civic character showed an
increase over time, and performance character was variable
over time. Although findings from the current study add
valuably to our understanding of the function of character
virtues among youth across bully and victim subtypes, we
were necessarily methodologically limited by a reliance on
youth self-report. More confidence in such findings could
be gained by using a multi-informant approach or quali-
tative methods to more fully capture both the experience of
bullying, to provide a more in-depth assessment of moral,
performance, and civic character, and to capture the pro-
cess of bullying experiences and peer relations.
Despite the limitations, the current work has important
implications for programs and policies. Previous work in
the study of bullying has focused on negative associations
for those who engage in bullying. The current work is
grounded in the positive youth development framework
which, instead, posits that all youth (regardless of label)
have strengths that can be leveraged toward success. Thus,
findings from the current investigation suggest that work on
peer relations should examine individual profiles of stu-
dents related to having attributes such as being fair and
just, thorough and persistent, and community- and civic-
minded. Schools and youth programs addressing bullying
behavior should use these profiles and individual charac-
teristics to help youth develop the skills to effectively
capitalize on their strengths toward behavioral change and
positive peer communities.
Conclusion
The aims of the current study were to examine character
type trajectories and how bullying statuses may relate to
these trajectories across middle to high school, a devel-
opmental period marked by high instances of bullying.
Youth who reported being bullies and being bullied by
others (bully–victims) reported lower levels of moral and
civic character, and bullies reported more positive slopes
for performance character than youth not involved in bul-
lying. These findings highlight both the importance of
further examining components of character and children’s
moral, performance, and civic engagement, and the utility
of optimizing such developmental assets to promoting
positive development among adolescents who bully and
who are bullied. In this article, we have helped to identify
factors at work in exploring character strengths in youth
involved in bullying behavior across adolescence. The
present work builds on the principles of PYD and devel-
opmental systems approaches insofar as that all young
people have strengths that may be capitalized on to pro-
mote thriving across the adolescent years.
Acknowledgments This research was supported in part by grants from the National 4-H Council, the Altria Corporation, the Thrive
Foundation for Youth, and the John Templeton Foundation.
Author contributions L.J.H. conceived of the study, participated in its design and coordination, and drafted the manuscript; E.P.B. par-
ticipated in the design, interpretation of the data, and writing of the
manuscript; K.N.G. participated in the design and helped draft the
manuscript; R.M.H. participated in the design and helped draft the
manuscript; G.J.G. performed the statistical analysis and helped draft
the manuscript; S.A.G. helped draft the manuscript; J.V.L. is the
scientific director of the 4-H Study of Positive Youth Development,
helped conceive this article, and participated in the design; R.M.L. is
the PI of the 4-H Study, helped conceive this article, and assisted in
drafting the manuscript. All authors read and approved the final
manuscript.
References
Anderson, G. E., Whipple, A. D., & Jimerson, S. R. (2002). Grade
retention: Achievement and mental health outcomes. National
Association of School Psychologists, pp. 1–4. Retrieved May 11,
2013 from http://www.cdl.org/resource-library/articles/grade_
retention.php.
Anthony, E. (1969). The reactions of adults to adolescents and their
behavior. In G. Caplan & S. Lebovic (Eds.), Adolescence:
Psychosocial perspectives (p. 77). New York, NY: Basic Books.
1000 J Youth Adolescence (2014) 43:991–1003
123
Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2006). Lifespan
theory in developmental psychology. In W. Damon & R.
M. Lerner (Eds.), Handbook of child psychology: Theoretical
models of human development (6th ed., pp. 569–664). Hoboken,
NJ: Wiley.
Bandura, A. (1960). Relationship of family patterns to child behavior
disorders. Standford University Progress Report, Project No.
M-1734, U.S. Public Health Service.
Benson, P. L., Scales, P. C., & Syvertsen, A. K. (2011). The
contribution of the developmental assets framework to positive
youth development theory and practice. In R. M. Lerner, J.
V. Lerner, & J. B. Benson (Eds.), Advances in child development
and behavior (pp. 197–230). London: Academic Press. doi:10.
1016/B978-0-12-386492-5.00008-7.
Berkowitz, M. W., & Puka, W. (2009). Dissent and character
education. In M. Gordon (Ed.), Reclaiming dissent: Civic
education for the 21st century (pp. 107–130). Amsterdam: Sense
Publishers.
Berkowitz, L. (2011). What works in values education. International
Journal of Educational Research, 50(3), 153–158.
Boston, B. O., Pearson, S. S., & Halperin, S. (2005). Restoring the
balance between academics and civic engagement in public
schools. Washington, DC: American Youth Policy Forum and
Association for Supervision and Curriculum Development.
Bowers, E. P., Gestsdottir, S., Geldhof, J. G., Nikitin, J., von Eye, A.,
& Lerner, R. M. (2011). Developmental trajectories of inten-
tional self regulation in adolescence: The role of parenting and
implications for positive and problematic outcomes among
diverse youth. Journal of Adolescence, 34, 1193–1206. doi:10.
1016/j.adolescence.2011.07.006.
Brandstatter, V. (1998). Action perspectives on human development.
In R. M. Lerner (Ed.), Handbook of child psychology (5th ed.,
Vol. Theoretica, pp. 807–863). New York, NY: Wiley.
Damon, W. (1988). The moral child: Nurturing children’s natural
moral growth. New York, NY: Free Press.
Damon, W., & Lerner, R. M. (2008). Entrepreneurship across the life
span: A developmental analysis and review of key findings (pp.
1–24). Kansas City: Kauffman Foundation.
Davidson, M., Khmelkov, V., & Baker, K. (2011). Sustainability and
enduring impact: Shaping an intentional culture of excellence
and ethics. Journal of Character & Leadership Integration, 2,
35–50.
Donovan, J. E., Jessor, R., & Costa, F. M. (1991). Adolescent health
behavior and conventiality–unconventionality: An extension of
the problem-behavior theory. Health Psychology, 10, 52–61.
Douvan, J. D., & Adelson, J. (1966). The adolescent experience. New
York, NY: Wiley.
Duckworth, A. L., & Seligman, M. E. P. (2005). Self-discipline out
does IQ in predicting academic performance of adolescents.
Psychological Science, 16, 939–944.
Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Ross, J., Hawkins,
J., et al. (2010). Youth risk behavior surveillance—United
States, 2009. MMWR Surveillance Summaries, 59, 1–142.
Eisenberg, N., Fabes, R. A., Murphy, B., Karbon, M., Smith, M., &
Maszk, P. (1996). The relations of children’s dispositional
empathy-related responding to their emotionality, regulation,
and social functioning. Developmental Psychology, 32, 195.
Eisenberg, N., Fabes, R. A., & Spinrad, T. (2006). Prosocial
development. In N. Eisenberg (Ed.), Handbook of child
psychology: Social, emotional, and personality development
(6th ed., Vol. 3, pp. 646–718). Hoboken, NJ: Wiley.
Espelage, D. L., & Swearer, S. M. (2003). Research on school
bullying and victimization: What have we learned and where do
we go from here? School Psychology Review, 32, 365–383.
Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes,
T. S., Johnson, D., et al. (2012). Teaching adolescents to become
learners: The role of noncognitive factors in shaping school
performance. Chicago: University of Chicago Consortium on
Chicago School Research.
Freud, A. (1969). Adolescence as a developmental disturbance. In G.
Caplan & S. Lebovici (Eds.), Adolescence (pp. 5–10). New
York: Basic Books.
Gestsdottir, S., & Lerner, R. M. (2008). Positive development in
adolescence: The development and role of intentional self-
regulation. Human Development, 51, 202–224. doi:10.1159/
000135757.
Hall, G. S. (1904). Adolescence: Its psychology and its relations to
physiology, anthropology, sociology, sex, crime, religion, and
education (Vol. 1 & 2). New York: Appleton.
Harter, S. (1988). Manual for the self-perception profile for adoles-
cents. Denver, CO: University of Denver.
Hartshorne, H., & May, M. A. (1928). Studies in the nature of
character. Volume 1: Studies in deceit. New York: Macmillan.
Jelicic, H., Bobek, D. L., Phelps, E., Lerner, R. M., & Lerner, J. V.
(2007). Using positive youth development to predict contribution
and risk behaviors in early adolescence: Findings from the first
two waves of the 4-H Study of Positive Youth Development.
International Journal of Behavioral Development, 31, 263–273.
doi:10.1177/0165025407076439.
Jessor, R. (1991). Risk behavior in adolescence: A psychosocial
framework for understanding and action. Journal of Adolescent
Health, 12, 597–605.
Lapsley, D. K., & Narvaez, D. (2006). Character education. In A.
Renninger & I. Siegel (Volume Eds.), Handbook of child
psychology (Vol. 4, W. Damon & R. Lerner, Series Eds.) (pp.
248–296). New York: Wiley.
Larson, W. (2000). Toward a psychology of positive youth develop-
ment. American Psychologist, 55, 170–183. doi:10.1037//0003-
066X.
Leffert, N., Benson, P. L., Scales, P. C., Sharma, A. R., Drake, D. R.,
Dale, A., et al. (1998). Developmental assets: Measurement and
prediction of risk behaviors among adolescents. Applied Devel-
opmental Science, 2, 37–41.
Lerner, R. M. (1984). On the nature of human plasticity. New York:
Cambridge University Press.
Lerner, R. M., Alberts, A. E., & Bobek, D. (2007). Thriving youth,
flourishing civil society—How positive youth development
strengthens democracy and social justice. In Bertelsmann
Stiftung (Ed.), Civic engagement as an educational goal (pp.
21–35). Guterslöh: Verlag Bertelsmann Stiftung.
Lerner, J. V., Bowers, E. P., Minor, K., Lewin-Bizan, S., Boyd, M. J.,
Mueller, M. K., et al. (2013). Positive youth development:
Processes, philosophies, and programs. In R. M. Lerner, M.
A. Easterbrooks, & J. Mistry (Eds.), I. B. Weiner (Editor-in-
chief), Handbook of psychology, Volume 6: Developmental
psychology (2nd ed., pp. 365–392). Hoboken, NJ: Wiley.
Lerner, R. M., Lerner, J. V., Almerigi, J., Theokas, C., Phelps, E.,
Gestsdóttir, S., et al. (2005). Positive youth development,
participation in community youth development programs, and
community contributions of fifth-grade adolescents: Findings
from the first wave of the 4-H Study of Positive Youth
Development. Journal of Early Adolescence, 25(1), 17–71.
Lerner, R. M., Lerner, J. V., von Eye, A., Bowers, E. P., & Lewin-
Bizan, S. (2011). Individual and contextual bases of thriving in
adolescence: Findings from the 4-H Study of Positive Youth
Development. Journal of Adolescence, 34(6), 1107–1228.
Lerner, J. V., Phelps, E., Forman, Y., & Bowers, E. P. (2009a).
Positive youth development. In R. M. Lerner & L. Steinberg
(Eds.), Handbook of adolescent psychology (3rd ed., Vol. 1,
pp. 524–558). New York: Wiley.
Lerner, R. M., & Steinberg, L. (2004). Handbook of adolescent
psychology (2nd ed.). Hoboken, NJ: Wiley.
J Youth Adolescence (2014) 43:991–1003 1001
123
Lerner, R. M., von Eye, A., Lerner, J. V., & Lewin-Bizan, S. (2009b).
Exploring the foundations and functions of adolescent thriving
within the 4-H study of positive youth development: A view of
the issues. Journal of Applied Developmental Psychology, 30(5),
567–570.
Lerner, R. M., von Eye, A., Lerner, J. V., Lewin-Bizan, S., & Bowers,
E. P. (2010). Special issue introduction: The meaning and
measurement of thriving: A view of the issues. Journal of Youth
and Adolescence, 39(7), 707–719.
Lickona, T., & Davidson, M. (2005). Smart & good high schools:
Integrating excellence and ethics for success in school, work,
and beyond. Washington, DC: Character Education Partnership.
Ma, L., Phelps, E., Lerner, J. V., & Lerner, R. M. (2009a). The
development of academic competence among adolescents who
bully and who are bullied. Journal of Applied Developmental
Psychology, 30, 628–644. doi:10.1016/j.appdev.2009.07.006.
Ma, L., Phelps, E., Lerner, J. V., & Lerner, R. M. (2009b).
Longitudinal research in school bullying: Adolescents who bully
and who are bullied. In D. Buchanan, C. B. Fisher, & L. Gable
(Eds.), Research with high-risk populations: Balancing science,
ethics, and law (pp. 93–108). Washington, DC: American
Psychological Association.
Maggs, J. L., & Schulenberg, J. (2001). Editors’ introduction:
Prevention as altering the course of development and the
complementary purposes of developmental and prevention
sciences. Applied Developmental Science, 5, 196–200.
Nansel, T., Overpeck, M., Pilla, R. S., Ruan, W. J., Simmons-Morton,
B., & Schmidt, P. (2001). Bullying behaviors among US youth.
Journal of American Medical Association, 285, 2094–2100.
Newcomb, A. F., Bukowski, W. M., & Pattee, L. (1992). Children’s
peer relations: A meta-analytic review of popular, rejected,
neglected, controversial, and average sociometric status. Psy-
chological Bulletin, 113, 99–128.
Nickerson, A. B., Brock, S. E., Change, Y., & O’Malley, M. (2005).
Responding to children victimized by their peers. Journal of
School Violence, 5, 19–32.
Noddings, N. (1994). Conversation as moral education. Journal of
Moral Education, 23, 107–118.
Nucci, L. P., & Narvaez, D. (2008). Handbook of moral and
character education. New York: Routledge.
O’Connell, P., Pepler, D. J., & Craig, W. (1999). Peer involvement in
bullying: Insights and challenges for intervention. Journal of
Adolescence, 22, 437–452.
Olweus, D. (1991). Bully/victim problems among schoolchildren:
Basic facts and effects of a school based intervention program. In
K. R. Pepler (Ed.), The development and treatment of childhood
aggression (pp. 411–448). Hillsdale, NJ: Eribaum.
Olweus, D. (1996). The revised Olweus Bully/Victim Questionnaire.
Bergen: Mimeo, Research Center for Health Promotion (HE-
MIL), University of Bergen.
Olweus, D. (2003). A profile of bullying at school. Educational
Leadership, 60, 12–17.
Olweus, D., Limber, S., & Mihalic, S. F. (1999). Blueprints for
violence prevention, book nine: Bullying prevention program.
Boulder, CO: Center for the Study and Prevention of Violence.
Overton, W. F. (2013). A new paradigm for developmental science:
Relationism and relational-developmental-systems. Applied
Developmental Science, 17, 94–107.
Overton, W. F. & Muller, U. (2012). Meta-theories, theories, and
concepts in the study of development. In R. M. Lerner, M.
A. Easterbrooks, & J. Mistry (Eds.), Irving B. Weiner (Editor-in-
chief), Comprehensive handbook of psychology: Developmental
psychology (Vol. 6, pp. 19–58). New York: Wiley.
Peterson, C., & Seligman, M. E. P. (2004). Character strengths and
virtues: A handbook and classification. New York: Oxford
University Press.
Phelps, E., Balsano, A. B., Fay, K. E., Peltz, J. S., Zimmerman, S. M.,
Lerner, R. M., et al. (2007). Nuances in early adolescent
developmental trajectories of positive and problematic/risk
behaviors: Findings from the 4-H Study of Positive Youth
Development. Child and Adolescent Psychiatric Clinics of North
America, 16, 473–496. doi:10.1016/j.chc.2006.11.006.
Pittman, K., Irby, M., & Ferber, T. (2001). Unfinished business:
Further reflections on a decade of promoting youth development.
In P. L. Benson & K. J. Pittman (Eds.), Trends in youth
development: Visions, realities and challenges (pp. 3–50).
Boston: Kluwer Academic Publishers.
Pratt, M. W., Arnold, M. L., & Lawford, H. (2009). Growing toward
care: A narrative approach to prosocial moral identity and
generativity of personality in emerging adulthood. In D. Narvaez
& D. K. Lapsley (Eds.), Personality, identity, and character:
Explorations in moral psychology (pp. 295–315). New York:
Cambridge University Press.
Radloff, L. S. (1977). The CES-D scale: A self-report depression
scale for research in the general population. Applied Psycholog-
ical Measurement, 1, 385–401. doi:10.1177/0146621677001
00306.
Robers, S., Zhang, J., Truman, J., & Snyder, T. D. (2010). Indicators
of school crime and safety: 2010. Washington: Government
Printing Office.
Roth, J. L., & Brooks-Gunn, J. (2003a). Youth development
programs: Risk, prevention and policy. The Journal of Adoles-
cent Health: Official Publication of the Society for Adolescent
Medicine, 32, 170–82. Retrieved from http://www.ncbi.nlm.nih.
gov/pubmed/12606110.
Roth, J. L., & Brooks-Gunn, J. (2003b). What is a youth development
program? Identifying defining principles. Promoting positive
child, adolescent, and family development: A handbook of
program and policy innovations, 2, 197–224.
Schwartz, S. J., Pantin, H., Coatsworth, J. D., & Szapocznik, J.
(2007). Addressing the challenges and opportunities for today’s
youth: Toward an integrative model and its implications for
research and intervention. The Journal of Primary Prevention,
28, 117–144. doi:10.1007/s10935-007-0084-x.
Seider, S. (2007). Frame-changing experiences and the freshman
year: Catalyzing a commitment to service-work and social
action. Journal of College and Character, 8, 1–18.
Seider, S. (2012). Character compass. Cambridge, MA: Harvard
University Press.
Seider, S., Gilbert, J. K., & Gomez, J. (2012). The role of moral and
performance character strengths in predicting achievement and
conduct among urban middle school students. Teachers College
Record, 115, 1–18.
Shields, D. L. (2011). Character as the aim of education. Phi Delta
Kappan, 92, 48–53.
Small, S. A., & Rodgers, K. B. (1992). Teen Assessment Project
survey question bank. Compilation and documentation of over
350 questions used in different TAP surveys. Technical Report of
the Wisconsin Center for Action. Madison, WI: University of
Wisconsin-Madison/Extension.
Smith, P. K. (2004). Bullying: Recent developments. Child and
Adolescent Mental Health, 9, 98–103. doi:10.1111/j.1475-3588.
2004.00089.x.
Smith, P. K., Morita, Y., Junger-Tas, J., Olweus, D., Catalano, R. F.,
& Slee, P. (1999). The nature of school bullying: A cross
national perspective. London: Routledge.
Sokol, B. W., Hammond, S. I., & Berkowitz, M. W. (2010).
International research handbook on values education and student
wellbeing. In T. Lovat, R. Toomey, & N. Clement (Eds.),
International research handbook on values education and
student wellbeing (pp. 579–603). Dordrecht: Springer. doi:10.
1007/978-90-481-8675-4.
1002 J Youth Adolescence (2014) 43:991–1003
123
Solberg, M. E., & Olweus, D. (2003). Prevalence estimation of school
bullying with the Olweus Bully/Victim Questionnaire. Aggres-
sive Behavior, 29, 239–268.
Sutton, J., Smith, P. K., & Swettenham, J. (1999). Social cognition
and bullying: Social inadequacy or skilled manipulation? British
Journal of Developmental Psychology, 17, 435–450. doi:10.
1348/026151099165384.
Urban, J. B., Lewin-Bizan, S., & Lerner, R. M. (2009). The role of
neighborhood ecological assets and activity involvement in
youth developmental outcomes: Differential impacts of asset
poor and asset rich neighborhoods. Journal of Applied Devel-
opmental Psychology, 30, 601–614. doi:10.1016/j.appdev.2009.
07.003.
van Lier, P. A., Vitaro, F., Barker, E. D., Brendgen, M., Tremblay, R.
E., & Boivin, M. (2012). Peer victimization, poor academic
achievement, and the link between childhood externalizing and
internalizing problems. Child Development, 83, 1775–1788.
Walker, L. J., & Pitts, R. C. (1998). Naturalistic conceptions of moral
maturity. Developmental psychology, 34, 403–19. Retrieved
from http://www.ncbi.nlm.nih.gov/pubmed/9597350.
Windle, M., & Lerner, R. M. (1986). Reassessing the dimensions of
temperamental individuality across the life span: The revised
Dimensions of Temperament Survey (DOTS-R). Journal of
Adolescent Research, 1, 213–229. doi:10.1177/074355488612007.
Wu, W., West, S. G., & Taylor, A. B. (2009). Evaluating model fit for
growth curve models: Integration of fit indices from SEM and
MLM frameworks. Psychological Methods, 14, 183–201. doi:10.
1037/a0015858.
Zaff, J. F., Boyd, M. J., Li, Y., Lerner, J. V., & Lerner, R. M. (2010).
Active and engaged citizenship: Multi-group and longitudinal
factorial analysis of an integrated construct of civic engagement.
Journal of Youth and Adolescence, 39, 736–750. doi:10.1007/
s10964-010-9541-6.
Zaff, J. F., Kawashima-Ginsberg, K., Lin, E. S., Lamb, M., Balsano,
A. B., & Lerner, R. M. (2011). Developmental trajectories of
civic engagement across adolescence: Disaggregation of an
integrated construct. Journal of Adolescence, 34, 1207–1220.
doi:10.1016/j.adolescence.2011.07.005.
Lacey J. Hilliard is a research assistant professor at the Institute for Applied Research in Youth Development at Tufts University. Her
work integrates the study of positive youth development and gender
roles.
Edmond P. Bowers is a research assistant professor at Tufts University. He received his doctorate in Applied Developmental
and Educational Psychology from Boston College. His research
interests include a focus on important non-parental adults and the
various ways that these adults can promote positive development in
young people.
Kathleen N. Greenman is a doctoral student at the Institute for Applied Research in Youth Development at Tufts University. Her
research interests involve the study of positive youth development
and socioemotional development.
Rachel M. Hershberg is a research assistant professor and qualitative methodologist in the Institute for Applied Research in Youth
Development at Tufts University. Her research focuses on positive
development and on the development of critical consciousness in
diverse and migrant youth in the US.
G. John Geldhof is an assistant professor in Human Development and Family Sciences at Oregon State University. His research
emphasizes the integration of diverse theoretical approaches to self-
regulation and examines how self-regulation develops across the life
span.
Samantha A. Glickman graduated Tufts University with a BA in Child Development and Community Health. Samantha is currently a
2013 Teach for America Corps member working at a Headstart school
and is pursuing a Masters in Special Education through Loyola
Marymount University.
Jacqueline V. Lerner is a professor of Applied Developmental and Educational Psychology in the Department of Counseling, Applied
Developmental and Educational Psychology at Boston College. She
received her Ph.D. in Educational Psychology from the Pennsylvania
State University. Her research interests focus on the development of
children and adolescents in the contexts of family, school and
community, and the embedded relationships in these contexts that
contribute to positive development.
Richard M. Lerner is the Bergstrom Chair in Applied Develop- mental Science and the Director of the Institute for Applied Research
in Youth Development at Tufts University. He received his Ph.D. in
developmental psychology from the City University of New York.
His work integrates the study of public policies and community-based
programs with the promotion of positive youth development and
youth contributions to civil society.
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