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Helping Families Initiative: Intervening with High-Risk Students through a Community, School, and District Attorney Partnership


Abstract and Figures

School-related violence and school infractions pose a significant problem for schools, families, and communities. This manuscript describes an effective community partnership and prevention effort operated by the District Attorney’s office, in which high-risk students and their families were assessed, assigned case workers, and referred to community services. Findings indicated improved functioning across the duration of the program. Specifically, scores on the North Carolina Family Assessment Scale (NCFAS) improved significantly from pretest to posttest. Furthermore, posttest scores on the NCFAS were significantly correlated with measures of school performance. These findings demonstrate an effective collaboration of social service providers and the District Attorney.
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Helping Families Initiative: Intervening with High-Risk
Students through a Community, School, and District
Attorney Partnership
Lisa A. Turner ÆAshley E. Powell Æ
Jennifer Langhinrichsen-Rohling ÆJayne Carson
ÓSpringer Science+Business Media, LLC 2009
Abstract School-related violence and school infractions pose a significant prob-
lem for schools, families, and communities. This manuscript describes an effective
community partnership and prevention effort operated by the District Attorney’s
office, in which high-risk students and their families were assessed, assigned case
workers, and referred to community services. Findings indicated improved func-
tioning across the duration of the program. Specifically, scores on the North
Carolina Family Assessment Scale (NCFAS) improved significantly from pretest to
posttest. Furthermore, posttest scores on the NCFAS were significantly correlated
with measures of school performance. These findings demonstrate an effective
collaboration of social service providers and the District Attorney.
Keywords Youth violence Family support School violence
North Carolina family assessment scale
This project was supported by Grant No. 2005-JL-FX-0118 awarded by the Office of Juvenile Justice and
Delinquency Prevention, Office of Justice Programs, U.S. Department of Justice. Points of view or
opinions in this document are those of the author and do not necessarily represent the official position
or policies of the U.S. Department of Justice.
L. A. Turner (&)A. E. Powell J. Langhinrichsen-Rohling
University of South Alabama, Mobile, AL, USA
A. E. Powell
J. Langhinrichsen-Rohling
J. Carson
Mobile County, AL District Attorney’s Office, Mobile, AL, USA
Child Adolesc Soc Work J
DOI 10.1007/s10560-009-0167-z
Youth violence is a complex set of behaviors influenced by characteristics of the
child and the environment. As Bronfenbrenner (1989) proposed, children exist in a
bi-directional relationship with their closest environments, which he labeled
microsystems. The microsystems (composed of family, school, and any other
environment in direct connection with the child) play a strong role in influencing the
child’s development. A related ecological model has been incorporated into the
practice of social work, equipping social service workers with the unique ability to
focus on the critical interactions of the child and various related environmental
factors (Apter and Propper 1986; Dupper 2003; Germain 1999). Social workers
therefore are able to target harmful environmental conditions, such as familial and
school issues, while also focusing on the child’s personal coping mechanisms,
allowing for effective intervention and more positive outcomes (Dupper 2003).
According to data posted on the website for the National Center for Injury
Prevention and Control (Centers for Disease Control and Prevention 2007), there are
a number of family factors that are associated with greater probabilities of youth
violence and other high risk behaviors. Families with little emotional attachment,
minimal parental involvement, coercive discipline, and poor parental monitoring
tend to have children who are at greater risk for behavior problems and youth
violence (e.g., Farrington 1995; McCord 1996; Sampson and Laub 1993). Parental
violence and family environments characterized by conflict and aggression are also
known risk factors for youth delinquency (Dahlberg 1998). Furthermore, it is
theorized that the more risk factors youth are exposed to, the greater their likelihood
for delinquency (Farrell and Flannery 2005). Risk factors also frequently interact to
influence deviant behavior (Farrell and Flannery 2005).
For many children and adolescents, problem behavior is detected in the school
environment. Data suggest that approximately one in three high school students
have engaged in a physical fight in the past year, and one in eight of those students
required medical attention for their injuries (Centers for Disease Control and
Prevention 2006). Truancy and school infractions often have associations with
youth violence and juvenile delinquency (e.g., Wasserman et al. 2003). Wang et al.
(2005) reported that school records of delinquent adolescents showed higher rates of
disciplinary action and poorer attendance than records of non-delinquent adoles-
cents. Similarly, Krisberg and Wolf (2005) indicated that poor grades, disciplinary
action, and truancy are related to juvenile delinquency and youth violence.
Therefore, prevention research has specifically examined effective social work
practices within the school context designed to target environmental factors, such as
family functioning (Sloboda and David 1997).
Progressive trends in youth delinquency have led researchers to examine preventive
strategies, specifically in reference to particular developmental stages. School
systems and administrators, as well as community partners are highly motivated to
reduce school violence and keep schools safe for students and teachers through the
L. A. Turner et al.
prevention of and reduction in known delinquency risk factors. However, the means
for reducing and preventing high-risk behaviors appear to vary among schools,
administrators, communities, and students. Most recently, researchers have
suggested that harsh school disciplinary practices may unfortunately contribute to
students’ alienation from school and undermine efforts to effectively intervene with
high-risk students (Cameron 2006; Mulvey and Cauffman 2001). Christle et al.
(2000) note that punitive prevention strategies may actually result in increased
youth aggression and violence. Instead, it has been recommended that programs that
provide broad based support to identify and ameliorate the problems being
experienced by troubled students and their families are likely to be more effective
than programs that only remove the at-risk student from the school (e.g., Quinn
2004). Policy makers concerned with youth delinquency have increasingly focused
on the development of novel prevention and reduction strategies, such as school and
community based approaches with a positive emphasis (Farrell and Flannery 2005).
Programs that have been designed to help youth engage more positively with
school have been identified as promising strategies to reduce youth violence and
truancy (Amedola and Scozzie 2004). Effective programs serve not only to reduce
the impact of known risk factors, but also serve to increase the efficacy of protective
factors and to promote characteristics associated with resiliency. Protective factors
are defined as the experiences of youth that help to buffer against the likelihood of
partaking in delinquent behaviors (Resnick et al. 2004). Specifically, these
protective factors include, but are not limited to: connectedness with adults within
and outside of the family environment, academic success, and holding effective
personal and social attitudes (Resnick et al. 2004).
Long and Brendtro (1994) note the development of resiliency as a component of
delinquency reduction. Resiliency can be defined as an individual’s ability to
overcome adversity (Christle et al. 2000; Long and Brendtro 1994). Research
supports the efficacy of promoting the enhancement of factors related to increased
resiliency, such as familial support (Long and Brendtro 1994). Theoretically,
prevention programs that enhance or promote characteristics of resiliency can be
expected to be more effective.
Furthermore, current trends in social work practice highlight the strengths
perspective, which places emphasis on acknowledging and appreciating personal
and familial strengths, as well as available resources, rather than focusing solely on
current problems and pathology (Drolet et al. 2007; Hampton et al. 1998; Saleebey
2006; Weick et al. 1989). The strengths perspective veers away from traditional
social work practice and allows for a collaborative and creative process of
uncovering positive means to achieving goals and establishing change (Saleebey
2006). Such focus is thought to be associated with protective factors and the
development of resiliency.
Helping Families Initiative
The Helping Families Initiative (HFI), a joint program of the Mobile County Public
School System and the Mobile County District Attorney’s Office in Mobile,
Alabama, is a prevention program that is in keeping with programs that have been
Helping Families Initiative
identified as blue print programs for youth violence prevention or as promising
intervention strategies for at-risk youth, such as Check and Connect (Alexander
et al. 1998; Sinclair et al. 1995), Second Step (Cooke et al. 2007; Ryan et al. 2004),
and Functional Family Therapy (Alexander and Parsons 1982). The program model
focuses on improving family functioning and child functioning as a means to reduce
problem behavior at school and potentially prevent future occurrences of problem
behavior in the school and greater community. The process for improving family
and child functioning is through provision of appropriate social services. If the
program theory is correct and the program is effective, families who receive the
appropriate social services will experience improvements in functioning. Children
in these families will benefit from the family improvements such that children in
these families will experience fewer problem behaviors at school.
The HFI program was enacted to uphold the Alabama Compulsory School
Attendance Laws (1993), which requires children between the ages of 7 and 16 to be
enrolled in school, regularly attend school, and behave in accordance with school
policies. Furthermore, within the context of this legislation, parents and or guardians
are legally responsible for their child’s enrollment, regular attendance, and proper
conduct. Therefore, the HFI program seeks to combat truancy and reduce problem
behavior from a family functioning perspective.
The Helping Families Initiative serves families that are referred because of high-
risk school behavior by youth that did not result in an arrest. Students who are
arrested or have active juvenile records are not served through HFI; instead, their
cases are handled through the Juvenile Justice System. Within the context of HFI,
high-risk school behavior includes serious infractions warranting suspension within
the Mobile County Public School System, such as theft, physical violence, drug
possession and or usage, and possession of a weapon on school grounds. Minor
infractions, such as verbal aggression and lesser acts of disobedience are not
classified as high-risk behavior.
If it is the student’s first violation and the violation is not associated with
weapons or drugs, the family only receives a warning letter from the District
Attorney’s (DA’s) office. For all other violations, the family receives a letter from
the DA’s office indicating that they are required to make an appointment for an
initial assessment with HFI staff. Based on the family’s response (or lack thereof) to
the assessment letter, three groups are identified: (a) those who cannot be reached or
do not respond, labeled non-compliant, (b) those who need only minimal support
and receive less than 5 h of contact with HFI, labeled low-risk, and (c) those who
enroll into HFI. The current project focused only on those students and families who
were enrolled in HFI and received at least five contact hours of service from the
When families enroll into the program, they are assessed with the North Carolina
Family Assessment Scale (NCFAS), which is repeated when the case is closed.
Based upon the assessment, Individualized Intervention Plans are developed. These
plans include referrals to the appropriate community services. Community agencies
provide services, including counseling, mentoring, parenting skills training, and
anger management. Additional services address basic needs, such as food, shelter,
and clothing. The Helping Families staff members do not provide direct services,
L. A. Turner et al.
but rather work as a liaison between the family and community resources, in an
attempt to establish solid, long standing connections between families and support
Although the HFI program is supported and run through the DA’s office, and is
overseen by the District Attorney, the program ultimately serves a preventive
purpose and is founded upon tenants of social work practice, rather than those of
law enforcement. The HFI program staff is not composed of attorney’s, but is made
up of individuals with educational and professional backgrounds in the social
services sector, such as social work, professional counseling, and psychology.
Therefore, the HFI program is unique in that a preventive community social work
effort is established within a criminal justice setting, providing a bridge between
prevention and law enforcement.
The goal of the current research project was to describe the youth and families
who were enrolled in HFI and determine if the families improved in their
functioning by the end of the program on various domains thought to be correlated
with delinquent behavior. This was a longitudinal, within-subjects design. When
families enrolled into the program, they were assessed with the North Carolina
Family Assessment Scale (NCFAS-pre), which was repeated when the case was
closed (NCFAS-post). We predicted that there would be improvements in scores on
the NCFAS from intake to closure. To strengthen the design, a multi-modal
assessment strategy was employed, such that school data were independently
gathered on referred youth. A priori, we predicted that scores on the NCFAS-post
would be related to school functioning. Additionally, in keeping with our theoretical
model, we predicted that family functioning and child well-being would predict
school functioning, but that the impact of family functioning on school variables
would be partially mediated by child well-being.
North Carolina Family Assessments were conducted on 147 families who were
consecutively referred to HFI over a 1 year time period. Specifically, data were
analyzed if families received a closure assessment within a defined calendar year,
regardless of if the intake assessment had been conducted during this same
12-month period. These 147 families were enrolled in the HFI program and
subsequently graduated, having received five or more service contact hours from the
HFI staff. Families not included in the current investigation included 32 cases that
received less than five service hours and 147 cases closed due to inability to contact
or noncompliance with the program.
Males comprised 65% of the students in the current sample and the remaining
35% of students were female. Twenty-four percent of the students were receiving
free or reduced lunch. Fifty-one percent of the students were European–American,
44% were African American, and 5% reported other races. Current grade was
available for 106 students. These data indicated students were enrolled in grades
Helping Families Initiative
two through 12, with the mean grade being 8.0 and the largest number of referred
students (60%) being enrolled in 7th, 8th, and 9th grades.
For families who enrolled, respective HFI case officers conducted the NCFAS and
combined those data with other available information to make recommendations for
services. The HFI interdisciplinary team was composed of representatives from
approximately 20 community partners, including mental health agencies, local law
enforcement, Mobile County Public School System, Alabama Department of
Human Resources, and child service organizations. Specifically, these representa-
tives served a leading professional role in their respective agencies and were
qualified to discuss service procedures and provide recommendations. For example,
mental health agencies were represented by licensed mental health professionals,
such as counselors, social workers, or psychologists serving administrative and/or
clinical roles. The HFI team met weekly to develop and monitor Individualized
Intervention Plans, which were implemented by the HFI staff, specifically by the
case officer assigned to each case. The HFI staff members did not provide direct
services; instead they made referrals, assessed barriers to treatment, worked to
reduce those barriers, and followed-up to see that treatment was received. Referrals
were made to approximately 153 community agencies. It is important to note that
that the documented service hours needed to be a graduate of HFI are solely
provided by the HFI staff. Engagement in community services does not count
toward the total HFI service hours. Participation in the recommended services was
strongly encouraged but not required. Families that received over 5 h of services by
the HFI staff were assessed again with the NCFAS when they completed the
recommended treatment and had demonstrated adequate progress. The initial
analyses in this project focused on the intake (pretest) and closure (posttest)
assessments using the NCFAS.
An example of a Helping Families case intervention is as follows. Once a family
is enrolled in the program, a case officer is assigned a case based upon geographical
school location, the case officer contacts the family, and conducts an assessment
with the child and family members. The case officer may have an initial meeting
either with the child at his or her school or with the family in the home environment,
in order to gather relevant data for a comprehensive assessment. The case officer
then scores and evaluates the assessment and presents the findings to the HFI
interdisciplinary team. An Individualized Intervention Plan is formulated based
upon areas needing intervention. For example, a family deemed as needing
intervention within the area of ‘‘family interactions’’ would potentially receive
referral information to family counseling agencies within the community.
Once the referrals have been provided to the family, the case officer follows up
with the family, typically on a weekly basis and sets a schedule of monthly meetings
with the student and/or family either at the school or at home. Specifically, weekly
follow-up service consists of checking to see if families have established contact
with provided referrals, assessing progress, and assisting with any setbacks. The
case officer may also contact school officials and associated community agency
L. A. Turner et al.
professionals (if proper release of information has been provided) to obtain records
of performance, behavior, and treatment. Furthermore, monthly in-person staff
meetings consist of evaluating the Individualized Intervention Plan and discussing
related behavior, school performance, and overall well-being. Face to face meetings
are critical in the HFI service process, in order to gain a comprehensive, ongoing
evaluation. All contact and service information, as well as time tracking are
recorded in the HFI electronic database for record keeping purposes. The case
officer may provide new referrals as time elapses and continues to work with the
family to overcome obstacles, in concordance with the interdisciplinary team. Once
the families’ needs have been met, the case officer conducts a post assessment.
North Carolina Family Assessment (NCFAS). The NCFAS was chosen for this
project because it is a broad instrument that includes assessments of the child, the
environment, and family functioning. The NCFAS has been used in several previous
projects and was originally developed for intensive family preservation services
(IFPS), that is, crisis intervention services designed to keep children safely in their
homes and prevent the separation of families (e.g., Kirk et al. 2005; Reed-Ashcraft
et al. 2001). Internal consistency and construct validity have been reported and the
measure has been shown to sufficiently detect changes in functioning over time,
specifically within the context of IFPS (e.g., Kirk et al. 2005; Reed-Ashcraft et al.
2001). Overall, the NCFAS allows practitioners and agencies to assess specific areas
needing service (e.g., parental capabilities and environment) and allows these
individuals to document changes across time.
Additionally, personnel can be trained to administer the NCFAS via a
standardized videotaped tutorial, which allows staff to re-visit training as needed
and allows new staff to be trained efficiently. The NCFAS can be administered by
social workers (or other well-trained professionals, such as counselors or
psychologists) who have participated in training.
The NCFAS is designed to assess families’ strengths and weaknesses. A trained
professional (i.e., a staff member who has completed the training tutorial) completes
the scale. Interviews and interactions take place with: (a) caregiver(s) alone, (b)
child alone, and (c) caregiver(s) and child together. Based on observations and
information gathered during these interactions (as well as information gathered from
other sources, such as schools or other agencies), the professional completes the
NCFAS. The assessment includes 31 items categorized into five domains
(Environment, Parental Capabilities, Family Interactions, Family Safety, and Child
Well-Being). Table 1shows an example item within each domain. Each item is
assigned a score by the rater. Scores range from -3to?2. Scores of 0, ?1, or ?2
indicate that no intervention is needed in that area. Positive numbers indicate that
the family has strengths in that area. Negative scores indicate the need for
intervention (-1 reflects a mild problem, -2 reflects a moderate problem, and -3
reflects a severe problem). Means are calculated based on the item scores within
each domain. If the domain score is below zero, intervention is warranted and an
Individualized Intervention Plan is developed for that domain. The NCFAS is
Helping Families Initiative
conducted when families enter HFI and either when they complete the recom-
mended interventions, or improve to the point of the case being closed.
To avoid the use of negative numbers, scores on the NCFAS were recoded on a six-
point scale ranging from one through six with higher scores reflecting better
outcomes. The first item on each subscale of the NCFAS is a general item reflecting
the raters’ overall assessment of that domain. The remaining items of each subscale
are specific items designed to assess functioning in that domain. We calculated the
means for each subscale based on the ratings of the specific items (not including the
general first item for each scale). As can be seen from Table 1, family functioning at
the outset of the program was indicated by a mixture of strengths and weaknesses.
Overall, the intake assessment scores provide the HFI case officers with direction
for making referrals and providing assistance to served families. In the current
sample, the intake assessment first item and subscale means both demonstrated that
the domain of Child Well-Being was a relative weakness, or area needing sufficient
support, while the domain of Family Safety was a relative strength, needing less
attention compared to other NCFAS domains. Specifically, the domain of Child
Well-Being is associated with child mental health, behavior, school performance,
relationship with caregiver(s), relationship with peers, and overall cooperation.
To determine if there were significant changes in the mean subscale scores from
pretest to posttest, we conducted a series of paired-samples t-tests on pretest and
posttest scores on the five subscales. We predicted improvements from pretest to
posttest on each scale (Environment, Parental Capabilities, Family interactions,
Family Safety, and Child Well-Being). As predicted, scores improved significantly
from pretest to posttest for each domain: Environment (t(146) =4.60, p\.001)
indicating a small effect size (d=.38), Parental Capabilities (t(146) =6.90,
p\.001) indicating a medium effect size (d=.57), Family Interactions
(t(146) =4.23, p\.001) indicating a small effect size (d=.35), Family Safety
(t(146) =3.93, p\.001) indicating a small effect size (d=.32), and Child Well-
Being (t(143) =12.46, p\.001) indicating a large effect size (d=1.04). Table 1
shows the means for each scale of the NCFAS at pretest and posttest.
Table 1 NCFAS mean first item scores and mean subscale scores (N=147)
Subscale Example item Mean subscale First item
Pre Post Pre Post
Environment Housing stability 4.00 4.08 3.89 4.05
Parental capabilities Supervision of child(ren) 3.89 4.04 3.65 3.94
Family interactions Bonding with child(ren) 4.24 4.31 4.24 4.33
Family safety Absence/presence of physical abuse of child(ren) 4.41 4.46 4.25 4.37
Child well-being Child(ren)’s mental health 3.49 3.84 2.49 3.33
L. A. Turner et al.
Next, we examined the first item of each subscale, which reflected the rater’s
overall assessment of functioning within that domain. As expected, these overall
scores were highly correlated with the means generated from the individual subscale
items (correlations ranged from .51 to .88 at pretest and .70 to .88 at posttest). To
determine if there were significant changes from pretest to posttest in the one item
score that reflected the rater’s overall assessment of each domain, we conducted a
series of paired-samples t-tests on pre and posttest scores on the first item of each
subscale. Findings were similar to those reported above. As predicted, first item
overall scores improved significantly from pretest to posttest for each domain:
Environment (t(147) =4.36, p\.001) indicating a small effect size (d=.36),
Parental Capabilities (t(146) =6.46, p\.001) indicating a medium effect size
(d=.53), Family Interactions (t(146) =3.42, p=.001) indicating a small effect
size (d=.28), Family Safety (t(146) =3.68, p\.001) indicating a small effect
size (d=.30), and Child Well-Being (t(146) =14.63, p\.001) indicating a large
effect size (d=1.21). Table 1also shows the means for the first item of each
domain at pretest and posttest.
We then tested the hypothesis that posttest scores on the NCFAS would be
related to school performance, including unexcused school absences, infractions,
and academic grades. School data reflecting academic grades were available for 99
of the 147 youth, while behavior data were available for 98 of the 147 youth who
were served by HFI. School records were gathered at the end of the year. For each
variable, only the data relevant to the time that the student was in HFI were
included. That is, if a student was referred to HFI in December, grades were
gathered from December to the end of the year. We included grades for core
subjects (math, science, english/language arts, history/social studies, and reading).
Students varied in the number of grades and quarters that were available; therefore
we calculated an overall average from the core subjects that were available for each
student for the appropriate time frame. For unexcused absences, infractions, and
days suspended, we calculated a monthly rate for each student, based on the time
after referral to HFI. For example, if a student was referred November 20th, we
gathered unexcused absences, infractions, and days suspended, from November 21st
until the end of the academic year. For each student, unexcused absences,
infractions, and days suspended were divided by the number of months that the data
reflected. Therefore, we had a monthly rate of unexcused absences, infractions, and
days suspended that reflected occurrences after referral to HFI.
As predicted, posttest subscale scores on the NCFAS were significantly
correlated with measures of school performance (see Table 2). For example, scores
on Child Well-Being were correlated with academic grades (r(99) =.39,
p\.001), suspensions (r(99) =-.23, p\.05), unexcused absences (r(99) =
-.29, p\.01), and number of school infractions for the year (r(98) =-
It is clear from the previous analyses that scores on the NCFAS were related to
students’ functioning in school. We proposed a mediational model in which family
variables indirectly influenced school outcomes through Child Well-Being. That is,
we predicted that family scores on the NCFAS would predict school outcomes but
that relation would be reduced when Child Well-Being was entered as a predictor of
Helping Families Initiative
school problems. The model is depicted in Fig. 1. We therefore conducted a number
of exploratory analyses to test this prediction.
Because of the significant correlations among subscale scores on the NCFAS, we
converted subscale scores to Z-scores, and then created a composite Family
Functioning variable by summing each student’s Z-scores on domains of
Environment, Parent Capabilities, Family Interactions, and Family Safety. Simi-
larly, we converted the school suspension, infraction, and unexcused absence scores
to Z-scores and computed a sum, which we labeled School Problems. We conducted
a multiple regression with the Family Functioning Composite as the predictor of the
School Problems (see Table 3). The regression was significant (F(1, 97) =4.77,
p=.03), with the Family Functioning Composite (b=-.22) accounting for
approximately 5% of the variance in School Problems. Next, we added Child Well-
Being into the equation as a predictor of School Problems (see Table 3). The
equation was significant (F(2, 96) =10.18, p\.001; R
change =.13) and
Table 2 Correlations of the North Carolina family assessment with school outcomes
North Carolina subscale
Environment Parent capabilities Family interactions Safety Child well-being
Grades .19 .34** .35** .34** .39**
Unexcused absences -.10 -.21* -.14 -.16 -.29**
Infractions -.08 -.15 -.18 -.04 -.35**
Suspensions -.09 -.08 -.10 -.07 -.23*
*p\.05, **p\.01
Child Well-
Fig. 1 Theoretical model
Table 3 Summary of multiple regression analysis for variables predicting school problems
Variable Model 1 Model 2
Family functioning -.10 .04 -.22* .05 .06 .12
Child well-being -.76 .20 -.49**
.05 .18
Ffor change in R
4.77* 14.90**
*p\.05, **p\.001
L. A. Turner et al.
accounted for 18% of the variance in School Problems. In this model, only Child
Well-Being (b=-.49) was a significant predictor; Family Functioning Composite
(b=.12) was no longer significant, indicating evidence of mediation. Finally, in
the last regression, we entered Family Composite as a predictor of Child Well-
Being. As predicted, the equation was significant (F(1, 97) =86.10, p\.001;
b=.69), with Family Functioning accounting for approximately 47% of the
variance in Child Well-Being. Consistent with the analysis procedure set forth by
Baron and Kenny (1986), these exploratory analyses supported the prediction that
Family Functioning impacts School Problems through the mediating variable of
Child Well-Being. Figure 2reflects the model with the beta weights included to
reflect strength of relationships.
In a similar set of analyses with school grades as the outcome variable, we
conducted a multiple regression with the Family Functioning Composite as the
predictor of School Grades (see Table 4). This regression was also significant (F(1,
98) =15.10, p\.001), with Family Functioning Composite (b=.37) accounting
for approximately 13% of the variance. Next, we added Child Well-Being into the
equation as a predictor of School Grades. The equation was significant (F(2,
97) =9.95, p\.001; R
change =.04) and accounted for 17% of the variance in
School Grades. In this model, only Child Well-Being (b=.26) was a significant
predictor; Family Functioning Composite (b=.18) was no longer significant,
indicating evidence of mediation. As indicated in the School Problems analysis,
Family Functioning Composite was a predictor of Child Well-Being (F(1,
98) =88.30, p\.001; b=.69), accounting for approximately 47% of the
variance. These exploratory analyses supported the prediction that Family
Functioning also impacts school Grades through the mediating variable of Child
Well-Being (see Fig. 3).
.69 Child Well-
-.49 School
Fig. 2 Observed model of school problems
Table 4 Summary of multiple regression analysis for variables predicting school grades
Variable Model 1 Model 2
Family functioning 2.05 .53 .37** 1.03 .72 .18
Child well-being 5.20 2.51 .26*
.13 .17
Ffor change in R
15.10** 4.29*
*p\.05, **p\.001
Helping Families Initiative
The current study documents a successful social practice community effort that was
designed to reduce and prevent youth violence by improving family functioning,
decreasing risk factors, and promoting protective factors. Through the leadership of
the District Attorney’s office, a number of community groups coordinated their
efforts. Public schools, law enforcement, and local service providers collaborated in
an efficient manner to provide support and services to high-risk youth and their
families. This novel prevention program promotes positive family and school
interactions and serves to bolster factors correlated with resiliency, as well as
supports the strengths perspective of social work practice.
Descriptively, our findings indicate that families were experiencing difficulties at
the outset of the program, specifically in the area of Child Well-Being. Raters
scored the youth’s well-being relatively low at the pre-assessment. This is not
surprising given that the child’s risk behavior garnered a referral to the program.
Furthermore, significant gains were observed in the area of Child Well-Being at
post-assessment, which reflected the aims and procedures of the program. When
children were doing reasonably well, the case was closed and the posttest was
conducted. However, there were also significant gains in all other areas assessed,
with Parental Capabilities showing a moderate change and the other areas showing
small changes. It is essential to note that the importance of Family Functioning and
Child Well-Being in this sample is corroborated by the significant correlations of
these measures with grades, unexcused absences, suspensions, and school
These findings also contribute to our understanding of the role of the family in
youth problem behavior. The proposed mediational model suggests that family
functioning contributed to school outcomes through the mediating variable of Child
Well-Being. We consider these findings exploratory because of the nature of the
data. Family Functioning and Child Well-Being were measured at one point in time.
Ideally, we need longitudinal data with Family Functioning measured before Child
Well-Being to determine the path from Family Functioning to Child Well-Being.
Also, there may be contamination among the measures because HFI staff members
conducting the NCFAS had access to preliminary school data. However, even with
these methodological issues, these findings deserve consideration because they
support important theoretical proposals about the role of the family in youth risk
behavior (e.g., Bronfenbrenner 1989; Patterson and DeBaryshe 1989). Specifically,
support is provided for the theoretical notion that familial relationships play a direct
role in influencing a child’s development and subsequently, their behavior.
Child Well-
.69 .26
Fig. 3 Observed model of school grades
L. A. Turner et al.
The current study has several limitations that warrant attention in future research.
First, families entered the program when they were experiencing considerable
difficulty, therefore their scores on the NCFAS were low. The improvements that
were noted across time could reflect regression to the mean. Second, although the
staff of HFI do not provide direct services, they are involved in the Individualized
Intervention Plan, follow-up, and assessments. Their experience with the program
could influence their assessments. Ideally, in future work, pretest and posttest
assessments would be conducted by personnel who are not involved in the delivery
of the program. Third, a comparison group (such as a wait-list control group) would
allow for a better assessment of the effectiveness of the program in comparison to
youth who do not receive these types of services. Third, longitudinal data are needed
to determine if the gains made in the HFI program are maintained and are in fact,
related to reductions in future offenses. Finally, the role of other factors (e.g., peers,
schools) is important but was not included in this investigation.
Overall, however, these data add to the literature in several important ways. First,
these data provide evidence for the usefulness of the NCFAS in a sample
experiencing school-related behavior problems. Second, these findings document
that significant changes in family functioning are possible in a high-risk sample.
Families were encouraged to use available community resources and build upon
existing strengths at a time when their children were encountering serious problems.
Case workers listened to the families’ needs, organized information on resources,
and followed-up to see that resources were being accessed. Across time, significant
improvements in families and children were noted. These improvements are crucial
because they occurred at a time when students were already engaging in risk-taking
behaviors that have the potential to culminate into more serious behavior problems.
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Helping Families Initiative
... Rozmi et al. (2017) found that social environment factors were factors that contributed to substance abuse among adolescents. The results of this study have been supported by other studies of Turner et al. (2009) and Rosser, Stevens and Ruiz (2005) which stated that school factors are an important medium in developing adolescent's behavior. This study also found that the behavioral abuse of substance occurs when environmentally risky factors such as accessible substance. ...
... The theories presented suggest that if students are too vulnerable to factors that risk their inclination to become delinquent is high (Turner et al., 2009;Aldridge et al., 2017). This behavioral problem is found in a risky social environment and school atmosphere that often interacts with other factors affecting deviant behaviour (Farrel & Flannery 2005). ...
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The interest in the study of social environment stems from a major belief that 'Social environment consists of the sum total of a society's beliefs, customs, practices and behaviors.' However, researcher and reformer from many countries have suggested that social environment is an important aspect on student's behavior. The challenges of the coming century are too complex. The influence of social environment will produce problematic society. This article suggests a significant social learning theory based on Islamic and west perspective and effect of social environment on student behavior.
... The NCFAS-G was created for and continues to be used in the family preservation field, but has also been used among youth with mental illnesses and youth involved in the court system. [35][36][37][38] Comparison of the Lower and Higher Fidelity groups on the change-scores showed the Higher Fidelity group had significantly larger increases in their NCFAS-G scores for the overall child wellbeing domain and the child(ren)'s behavior subscale compared to the Lower Fidelity group. The Higher Fidelity group showed improvement on more of the subscales (13 of the 21) than the Lower Fidelity group (5 of the 21). ...
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Increasingly, jurisdictions are requiring the adoption of certified evidence-based programs (EBPs) for behavioral health and human services for children, youth, and their families. Often, such adoption of proven, prepackaged programs is done without regard to existing, yet effective, locally developed program models. This study presents a replicable six-step process that identifies key researched elements from within existing programs and creates program-specific fidelity scoring and tracking tools for routine use during clinical supervision to assure that these elements are implemented well. A case study is used to demonstrate that a locally developed program model, when implemented with high fidelity, can serve clients with outcomes comparable to its EBP counterpart at a much lower cost. The results underscore the importance of one common element among EBPs and effective services in general: measuring key elements of the service and client outcomes and feeding these data back to clinicians for continuous improvement.
... Terdapat banyak faktor yang mendorong remaja terjebak dalam kegiatan negatif ini. Teoriteori yang dikemukakan menunjukkan bahawa jika remaja terlalu terdedah kepada faktor-faktor yang berisiko kecenderungan mereka menjadi delinkuen adalah tinggi (Turner et al. 2009). Masalah tingkah laku ini dikesan di persekitaran sosial yang berisiko dan suasana sekolah yang selalunya berinteraksi dengan faktor-faktor lain untuk mempengaruhi tingkah laku devian (Farrel & Flannery 2005). ...
... This measure has utility in guiding assessment and treatment planning as well as measuring outcomes. 10 The NCFAS-G includes eight domains that look at the family as a whole in terms of environment, parental capabilities, family interactions, family safety, child wellbeing, social/community life, self-sufficiency, and family health. These domains include a total of 58 subscales. ...
Objective: The objective of this study was to evaluate a specialised service designed to improve parenting capacity, child safety and family functioning in the context of parental mental health, drug and alcohol and child protection concerns. Method: Client data was collected over a period of 3 years and 3 months, including demographic characteristics, service usage, presenting issues and pre and post revised North Carolina Family Assessment Scale (NCFAS-G) scores. Results: A significant improvement between intake and discharge occurred on the majority of the 58 NCFAS-G subscale items (32/58). In particular, most significant change occurred in the domains 'family safety' (p < 0.001) and 'family interactions' (p < 0.001). Conclusion: Specialised programs can assist families with child safety concerns suffering from mental health and/or drug and alcohol problems.
... The National Longitudinal Study of Adolescent Health ( Resnick et al., 1997) found that the leading protective factor against youth involvement in violence, substance use, and other risky health behaviors was a positive sense of school connectedness. Increasing school connectedness can decrease problematic behaviors such as violence ( Turner, Powell, Langhinrichsen-Rohling, & Carson, 2009) and alcohol-related violence among youths ( Buckley, Sheehan, & Chapman, 2009). School connectedness comprises warm and caring relationships between students and adults at schoolincluding teachers, administrators, and other staff-as well as peers ( Catalano, Haggerty, Oesterle, Fleming, & Hawkins, 2004). ...
The purpose of this study was to examine the impact of school violence on recent alcohol use and episodic heavy drinking among seventh- through 12th-grade students. A total of 54,631 students completed a survey assessing substance use and other risky behaviors. Logistic regression analyses were conducted to examine the research questions. Results indicate that one in three students reported involvement in school violence in the past year, one in five reported using alcohol in the past month, and one in 10 reported frequently (often/a lot) engaging in episodic heavy drinking. Compared with their nonviolent counterparts, male and female adolescents and high school students involved in school violence were twice as likely to report alcohol use. Junior high school students involved in school violence were six times more likely as those not involved to report using alcohol. Findings highlight the association between school violence and alcohol abuse. Professionals working with youths should address shared underlying factors contributing to school violence and underage drinking.
Juvenile delinquency, abuse, and addictions are among the very serious problems of the modern world. They are becoming more frequent every day and appear among the younger categories of children and youth, with increasingly destructive forms and manifestations. The community seeks ways and takes measures to prevent these socio-pathological phenomena, with the aim of reducing or preventing them altogether. In order to succeed, social pedagogical theory and practice are constantly being improved and enriched, and they offer new contributions that can help in the constructive resolution of these painful social phenomena. Their spread degrades the personality of the individual and the whole social community, and this leaves lasting and far-reaching consequences. Only by getting to know and having insight into all the above aspects of these socio-pathological phenomena will it be possible to create and offer organized professional activity in their transformation.
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Tingkah laku merupakan suatu tindak balas serta perbuatan seseorang individu sama ada melalui percakapan verbal mahupun fizikal non verbal atas input yang diperoleh daripada interaksi untuk menterjemahkan maklumat diterima kepada perbuatan serta tindakan. Tingkah laku juga dipengaruhi oleh emosi seseorang individu untuk bertindak balas atau bertingkah laku ketika berinteraksi dalam konteks sosial masyarakat. Walau bagaimanapun, gejala sosial semakin mendapat tamparan yang hebat dari golongan remaja. Tingkah Laku seseorang remaja sekolah yang melanggar norma adalah merupakan tingkah laku delinkuen. Kes salah laku ini menyebabkan kesan negatif terhadap kesejahteraan dan ketenteraman dalam hidup bermasyarakat. Tambahan lagi, terdapat kes-kes sosial keruntuhan akhlak kini tersebar luas di ruang akhbar terhadap perilaku seks bebas seperti rogol dan hamil luar nikah. Beberapa faktor sosialisasi dapat dikenal pasti dalam mempengaruhi remaja dan kebanyakan mereka ini adalah masih bersekolah. Oleh itu, kajian ini bertujuan untuk mengkaji faktor, perkaitan dan perbezaan sosialisasi dalam mempengaruhi tingkah laku individu. Seramai 120 orang pelajar iaitu 70 orang pelajar lelaki dari Sekolah Tunas Bakti Sg. Besi dan 50 orang pelajar perempuan dari Asrama Bahagia Kg. Pandan. Kedua-dua sekolah merupakan sekolah yang melibatkan pelajar terbabit dalam kes juvana dan berada di bawah pengawasan Jabatan Kebajikan Masyarakat (JKM). Reka bentuk kajian yang dijalankan ialah berbentuk deskriptif. Data dikumpulkan melalui borang soal selidik yang terbahagi kepada tiga bahagian iaitu A) Latar Belakang Pelajar, B) Lima Faktor Sosialisasi dan C)Tingkah Laku Agresif. Data diperoleh dianalisis menggunakan Statistical Package for Social Science (SPSS) untuk menilai peratus, kekerapan, korelasi, T-test dan Anova. Hasil menemukan pelajar lelaki lebih cenderung dipengaruhi oleh faktor media massa manakala pelajar perempuan lebih cenderung dipengaruhi dengan rakan sebaya. Hasil kajian mendapati tingkah laku individu dipengaruhi oleh tiga faktor utama iaitu media masa, rakan sebaya dan diri sendiri. Tiada perbezaan antara jantina lelaki dan perempuan untuk faktor sosialisasi yang mempengaruhi tingkah laku agresif. Oleh itu, beberapa cadangan telah dirangka dalam pengawalan dengan mewujudkan akta, fungsi institusi kekeluargaan dan juga institusi pendidikan seperti sekolah.
In recent reform efforts, school–community partnerships have been touted as a means for promoting student success (Decker, Decker, & Brown 2007; Epstein 2010) and meeting student needs (Hands 2010). Yet, despite any accolades, the motives and results of school–community partnerships are contested. Gary Anderson (1998) points out that partnerships tend to be designed to graft members into prior objectives and goals instead of being designed to facilitate staff members in working together to redefine goals. Auerbach (2010) echoes this concern, suggesting that the literature regarding school partnerships focuses primarily on academic achievement while operating under “limited school agendas or mandates for collaboration” which do little to promote “socially just” schools (p. 729). And, schools are egregiously unjust. Thus, in this article, I first evaluate the school–community partnership in a new light by broadly conceptualizing how community exists as a term within the public education system and consideri...
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In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators. (46 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
The recent media hype over school shootings has led to demands for methods of identifying school shooters before they act. Despite the fact that schools remain one of the safest places for youths to be, schools are beginning to adopt identification systems to determine which students could be future killers. The methods used to accomplish this not only are unproven but are inherently limited in usefulness and often do more harm than good for both the children and the school setting. The authors' goals in the present article are to place school shootings in perspective relative to other risks of violence that children face and to provide a reasonable and scientifically defensible approach to improving the safety of schools.
Dr. Quinn provides a review on related research and programs and effectiveness. A presentation of the model program provides most of the materials an individual or agency would need to begin to implement the program. A practitioner might take activities from the model program and integrate them into an existing program.
The article discusses three issues. First, observations of families evaluated while the participants were adolescents predicted their violent criminality measured 30 years later; this finding supports the conclusion that family interaction and socialization practices contribute to the causes of violence. Second, confounding data suggest that researchers should develop a taxonomy of violence before deciding whether violence should be studied apart from its embeddedness in other forms of deviance. Third, unhealthful experiences leave their residues, and it is a mistake to assume that knowledge about the effectiveness of restorative interventions follows from knowledge about causes.
Abstract In the Cambridge Study in Delinquent Development, 411 South London males have been followed up from age 8 to age 32. The most important childhood (age 8–10) predictors of delinquency were antisocial child behaviour, impulsivity, low intelligence and attainment, family criminality, poverty and poor parental child-rearing behaviour. Offending was only one element of a larger syndrome of antisocial behaviour that arose in childhood and persisted into adulthood. Marriage, employment and moving out of London fostered desistance from offending. Early prevention experiments are needed to reduce delinquency, targeting low attainment, poor parenting, impulsivity and poverty.