"A Call to Action: Investigating Systematic, Social, and Emotional Predictors of Higher Educational Attainment Among Foster Care Youths"

Slides:



Advertisements
Similar presentations
SCHOOL PSYCHOLOGISTS Helping children achieve their best. In school. At home. In life. National Association of School Psychologists.
Advertisements

Predictors of Depressive Symptoms and Obesity in African-American Women Transitioning from Welfare to Work Mayola Rowser PhDc, DNP, FNP-BC, PMHNP.
Dreams to Degrees Helping Foster Youth Succeed in Higher Education.
Foster Care Reentry after Reunification – Reentry in One or Two years – what’s the difference? Terry V. Shaw, MSW Daniel Webster, PhD University of California,
Impact of foster care on sexual activity of maltreated youth Monica Faulkner, PhD, LMSW Center for Social Work Research The University of Texas at Austin.
California Department of Social Services Children’s Services Operations and Evaluation PRESENTED TO THE CHILD WELFARE COUNCIL ON DECEMBER 12, 2012 REVISED.
Aging out of Foster Care Transitions to Adulthood.
Intersections between Child Welfare & Homeless Systems: Results from 2 Research Studies Stephen Metraux, PhD University of the Sciences in Philadelphia.
Foster Youth and the Transition to Adulthood: Findings from the Midwest Study Mark Courtney, Principal Investigator Amy Dworsky, Project Director.
Educational Challenges, and Opportunities, for Foster Children and Youth Mark E. Courtney, Ph.D. POC Executive Director Ballmer Chair in Child Well-Being.
How do Macon County Children Enter the Child Welfare System? Macon/Piatt Counties Indicated reports FY 2010 SourceNumber Percent of total Law enforcement14833%
CHILDREN’S MENTAL HEALTH PROBLEMS IN RHODE ISLAND: THE PREVALENCE AND RISK FACTORS Hanna Kim, PhD and Samara Viner-Brown, MS Rhode Island Department of.
How do LaSalle County Children Enter the Child Welfare System? LaSalle County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement20755%
How do Morgan & Scott County Children Enter the Child Welfare System? Morgan and Scott Counties Indicated reports FY 2010 SourceNumber Percent of total.
Who lives in Rock Island County? Rock Island County Demographics by Race and/or Ethnic Group, 2009 estimate N = 148,826 White113, % Black or African.
How do McLean County Children Enter the Child Welfare System? McLean County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement23350%
How do Peoria County Children Enter the Child Welfare System? Peoria County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement19235%
How do Champaign County Children Enter the Child Welfare System? Champaign County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement22548%
How do Sangamon County Children Enter the Child Welfare System? Sangamon County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement21638%
How do Logan County Children Enter the Child Welfare System? Logan, Mason and Menard Counties Indicated reports FY 2010 SourceNumber Percent of total.
1 Psychological Symptoms among Young Maltreated Children: Do Services Make a Difference? The research for this presentation was funded by the Administration.
Risks of Reentry into the Foster Care System for Children who Reunified Terry V. Shaw, MSW University of California, Berkeley School of Social Welfare.
Factors Related to Adolescent Alcohol Use Progression Matos TD, Robles RR, Reyes JC, Calderón J, Colón HM, Negrón-Ayala JL CENTER FOR ADDICTION STUDIES,
1 Transitions to Adulthood: Comparing TANF and Foster care Youth Pamela C. Ovwigho, PhD Valerie Head, MPP Catherine E. Born, PhD Paper presented at the.
Introductions Social Issues Historical Overview Purpose and Goals Program Eligibility Legislation Permanent Connections Resources to Promote Permanency.
Safe & Equitable Foster Care Reduction in Multnomah County CCFC Commission Mtg Tuesday, Dec 8 th 2009.
Triennial Community Needs Assessment A Project of the Valley Care Community Consortium.
Independent Living Christine Lenske Beth Rudy. Agenda Enhancement Background Review Requirements –Tracking Independent Living Services –Self Reported.
The 8 th Annual COMMUNITY FORUM on the Conditions of Children in Orange County WELCOME.
Source: Postsecondary Education OPPORTUNITY Collaborating to Expand the Pipeline “Let’s Get Real” Presented by: Ed C. Apodaca November 3-5, 2005.
Cuyahoga County Strengthening Communities – Youth (SCY) Project: Findings & Implications for Juvenile Justice David L. Hussey, Ph.D. Associate Professor.
Early Childhood Adversity
A New Narrative for Child Welfare February 16, 2011 Bryan Samuels, Commissioner Administration on Children, Youth & Families.
AT-RISK YOUTH: A DATA PORTRAIT Washtenaw County -- March 2014.
Population Parameters  Youth in Contact with the Juvenile Justice System About 2.1 million youth under 18 were arrested in 2008 Over 600,000 youth a year.
Creating Racial Equity in Child Welfare: What Do We Know? Judith Meltzer, CSSP Jim Casey Youth Opportunities Initiative Fall Convening November 16, 2010.
Families First & School Readiness
Maine DHHS: Putting Children First
A National Assessment of Youth Involved with Child Welfare: Prevalence of Emotional and Behavioral Problems, Access to Treatment, and the Role of Court.
Psychosocial Correlates of Youth Smoking in Mississippi Robert McMillen Nell Baldwin SSRC Social Science Research Center Mississippi State University.
Coordinating Council on Juvenile Justice and Delinquency Prevention Quarterly Meeting – October 21, 2011 Bryan Samuels, Commissioner Administration on.
Virginia Department of Education Office of Program Administration and Accountability N or D Application.
Michigan’s Child Welfare System Why is Overrepresentation a Critical Issue?
Children and Adults with Spina Bifida: Exploring Secondary Psycho-Social Conditions Andrea Hart, Ph.D. Betsy Johnson, M.S.W. and Lorraine McKelvey, Ph.D.
Introduction to Human Services Unit 9 seminar.  School social workers date back to the late 1800’s.  They were called: Visiting Teachers, Home Visitors,
Midwest Evaluation of the Adult Functioning of Former Foster Youth: Outcomes at Age 19 Chapin Hall Center for Children University of Chicago.
September 18-19, 2006 – Denver, Colorado Sponsored by the U.S. Department of Housing and Urban Development Tatjana Meschede, Ph.D., Center for Social Policy,
San Francisco Unified School District Student Support Services Department Foster Youth Services Program FYS Liaison Orientation.
Race and Child Welfare: Exits from the Child Welfare System Brenda Jones Harden, Ph.D. University of Maryland College Park Research Synthesis on Child.
Program Evaluation - Reunification of Foster Children with their Families: NYS Office of Children and Family Services, Division of Child Care Evelyn Jones,
Independent Living Services and Outcomes Reporting Christine Lenske Beth Rudy.
The Prevalence of Children with Disabilities in the Child Welfare System: An Analysis of State Administrative Data Elizabeth Lightfoot, PhD Katharine Hill,
Family Characteristics Effect of parental separation on children's behavior 13.8% of children born in experienced parental separation before age.
Fostering Northern Arizona University. Fostering NAU What is foster care? Foster care is the term used for a system in which a minor.
CENTER FOR SOCIAL SERVICES RESEARCH School of Social Welfare, UC Berkeley Longitudinal Dynamics of Youth in Foster Care Joseph Magruder Emily Putnam-Hornstein.
The Social and Family Backgrounds of Infants in Care: Predicting Subsequent Abuse Dr. Paul Delfabbro School of Psychology University of Adelaide.
Stephen Nkansah-Amankra, PhD, MPH, MA 1, Abdoulaye Diedhiou, MD, PHD, H.L.K. Agbanu, MPhil, Curtis Harrod, MPH, Ashish Dhawan, MD, MSPH 1 University of.
Background Objectives Methods Study Design A program evaluation of WIHD AfterCare families utilizing data collected from self-report measures and demographic.
Introduction to Human Services Unit 9 Dawn Burgess, Ed. D.
Psychometric Evaluation of an Instrument for Assessing Policy Outcomes for Families with Children Who Have Severe Developmental Disabilities: The Beach.
 1) To examine the prevalence of animal abuse among youth placed in foster care because of maltreatment.  2) To determine which types of maltreatment.
Youth on the Street Maltreatment, Mental Health & Addiction Thornton, T., Goldstein, A., Tonmyr, L. & Vadneau, A.
Adoption outcomes for children with mental retardation in the custody of state child protective services systems: Implications for long-term well-being.
Performance and Progress 2012/2013. Why We Do an Annual Data Presentation To assess the Levy’s performance in various categories against goals. To highlight.
Correlates of HIV testing among youth in three high prevalence Caribbean Countries Beverly E. Andrews, Doctoral Candidate University.
Mark E. Courtney Professor School of Social Service Administration
Using Early Care and Education Administrative Data
Examining Homeless Outcomes Among Foster Care Youth in Wisconsin
Arely M. Hurtado1,2, Phillip D. Akutsu2, & Deanna L. Stammer1
Transitioning to Independence
Presentation transcript:

"A Call to Action: Investigating Systematic, Social, and Emotional Predictors of Higher Educational Attainment Among Foster Care Youths"

Dissertation Research Dr. Dana R. Hunter Senior Research Associate Office of Social Service Research and Development Louisiana State University Tuesday, January 27, 2015

Presentation Outline  Introduction  Prevalence of the Problem  Federal Policy Review  Current Research Study  Significance of the Study  Contribution to Knowledge Base  Research Objectives  Methodology  Results  Limitations  Implications  Conclusions

YP_Roby_T/index.htmhttp:// YP_Roby_T/index.htm

Introduction The U.S. Dept. of Health and Human Services report that as of September 2008, there were 463,000 children in foster care. –What is foster care? –Why do some children need a foster care system? –Where are children placed when in foster care? Older foster youth between the ages of 13 and 18 are the largest subpopulation, representing between 30 and 40 % of the children in the system APLA and long-term foster care Permanent Connections and mentors

Introduction A large majority of Foster Care Youth have maladaptive and emotional issues because of abuse/neglect –Instability in Placements; several placement disruptions –Poor relationships with Foster/Adoptive parents –Poor social relationships among peers –Experience Academic Failure

Introduction  Foster care youths (FCY) are an academically vulnerable population  Drop out of high school at rates more than twice the rates of youths from the general population  Between 37% - 64% of FCY do not complete high school  They are also less likely to enroll and succeed in college or vocational training programs  Only 1 to 5% of foster youths enroll in college  Of those that do enroll, less than 10% obtain a degree

Prevalence of the Problem National statistics –The average foster care youth are placed in a new home or facility once every six months Children / adults in the foster care system are at greater risks of experiencing higher rates of physical and mental diseases –10 percent more incidences of depression and 21 percent greater incidences of PTSD –increased risks for eating disorders and obesity –children in foster care with high levels of the stress hormone, cortisol

Prevalence of the Problem Every year, 20,000 youth “age out” of the foster care system at age 18 without a permanent family or place to call home Between 12 and 30 PERCENT youth that EXIT foster care battle POVERTY and HOMELESSNESS

Federal Policy Review Social Security Act 1935 Aid to Families with Dependet Children in Foster Care 1961 Federal Amendments to SSA 1962 Independent Living Initiative – P.L Amended Previous Legislation 1990 Omnibus Reconciliation Act 1993 Foster Care Independence Act 1999 Promoting Safe & Stable Families Amendment 2001 Fostering Connections to Success & Increasing Adoptions Act 2008

Policies changes needed  Policies changes needed:  Extend foster care to age 21 is an option for states  Additional support and legislation for African- American males in foster care needed  Accountability of federal funds and programs  Evaluation of independent living programs  Additional research using research designs that show causation  Policies that support increase of quality foster homes

Current Research Study  Investigate factors that best predict higher educational attainment among FCY  Investigate factors that best predict the likelihood of enrollment in postsecondary education among young adults who age out of the system  Explore significant bivariate interrelations among educational attainment and several binary variables including race, gender, and other systematic factors

Research Objectives  This explanatory-descriptive study utilized a cross-sectional, relational research design to address the following five objectives:  Objective 1: to describe the demographic, systematic risks, and systematic promotive characteristics of FCY (n=1,266)  Objective 2: to describe the demographic, systematic risk, and systematic promotive characteristics of the 157 young adults who aged out of care  Objective 3: to explore significant interrelations among educational attainment and other demographic, systematic risk, and systematic promotive categorical level variables  Objective 4: to determine the demographic, systematic risk, and systematic promotive factors that best predicted higher educational attainment among FCY  Objective 5 : to determine the demographic, systematic risk, and systematic promotive factors that best predicted the likelihood of enrollment in postsecondary education programs among young adults who age out of foster

Methodology- Objective 1  n=1,266 FCY  Ages years  Demographic Characteristics  Age  Race  Gender  Educational Attainment  Systematic Risk Factors  Length of stay in foster care  Number of placement moves  Type of placement  Type of maltreatment  Special education  Systematic Promotive Factors  YAP services  Academic supportive services  Mentoring  Postsecondary supportive services  Budgeting program  Employment or vocational training services  Career preparation  Statistical Analysis  Descriptive Statistics Objective 1: to describe the demographic, systematic risk, and systematic promotive characteristics of FCY

Results- Objective 1 Demographics  Gender  Male= 614 (48.5%)  Female= 652 (51.5%)  Race  African-American= 743 (58.6%)  White/Caucasian= 516 (40.8%)  Other race= 38 (10.8%)  Age  Average=15.5 (SD=1.1)  Education Level  Mean highest grade completed= 8.4 (SD=1.4)  Mean proportion completed education=0.86 (SD=0.12)  On or above expected education level  No= 945 (74.6%)  Yes= 321 (25.36%)  14 yr. olds (n=262)= 7.2 (SD=1.02)  15 yr. olds (n=361)= 8.0 (SD=1.04)  16 yr. olds (n=364)= 8.7 (SD=1.25)  17 yr. olds (n=279)= 9.4 (SD=1.46)

Results- Objective 1 Systematic Risk Factors  Special education  Yes =347 (27.4%)  No=919 (72.5%)  Length of stay in care  Mean= 44.2 (SD=41.2)  Number of placement moves  Mean= 6.4 (SD= 6.17)  Type of maltreatment  Neglect= 911 (71.9%)  Physical Abuse=103 (8.1%)  Type of placement  Certified Foster Family= 355 (28%)  Non-certified relative= 201 (15.8%) Systematic Promotive Factors

Methodology- Objective 2  n=157 young adults  Ages years  Demographic Characteristics  Age  Race  Gender  Educational attainment  Systematic Risk Factor  Adjudicated delinquent  Systematic Promotive Factors  Supervised housing  Independent living needs assess  Academic supportive services  Mentoring  Postsecondary supportive services  Budgeting program  Employment or vocational training services  Career preparation  Statistical Analysis  Descriptive Statistics Objective 2: to describe the demographic, systematic risk, and systematic promotive characteristics of young adults who aged out of foster care

Results- Objective 2 Demographics  Gender  Male= 66 (40.2%)  Female= 98 (59.7%)  Race  African-American=106 (67.5%)  Caucasian/White=51 (32.4%)  Age  Mean 18.6 (SD=0.8)  Education Level  Highest grade completed Mean= 11.7 (SD= 1.3)  Proportion completed education  Mean= 0.94 (SD=0.09)  On or above expected level of education  No= 85 (51.8%)  Yes= 79 (48.1%)

Results- Objective 2 VariableYes (%)No (%) Delinquent Supervised Housing Academic Support Postsec. Support Budgeting Program Career Preparation Employ/Voc. Training Mentoring Independent living assess

Methodology-Objective 3a Objective 3a: to explore significant interrelations between educational attainment and other demographic, systematic risk, and systematic promotive categorical level variables among FCY  N=1,266 FCY ages  Statistical Analysis  Cross-tabulations and Chi- square analysis  Educational Attainment  (on or above expected level of education) 21 Variables :  Gender  Race  Systematic Risk Factors  Systematic Promotive Factors

Results- Objective 3a VariableSignifican t Chi-Square (X 2 ) Gender20.09*** Black11.9** White3.9* Participation in YAP11.3** Certified Relative12.5** Certified Foster Family5.28** Residential facility5.05* Detention4.44* Shelter4.54* Placement moves5.95* Postsecondary Support6.23* Special education31.87*** Academic Support3.95*

Methodology-Objective 3b Objective 3b: to explore significant interrelations between educational attainment and other demographic, systematic risk, and systematic promotive categorical level variables among young adults who age out of care  N=157 young adults ages  Statistical Analysis  Cross-tabulations and Chi-square analyses  Educational Attainment  13 Variables :  Demographic Characteristics  Systematic Risk  Systematic Promotive Factors

Results- Objective 3b VariableSignifican t Chi-Square (X 2 ) Gender1.46 Black1.23 White0.40 Participation in YAP1.03 Delinquent1.31 Postsecondary Support9.63** Employment Training Supervised Housing0.65 Independent Living Needs Assessment7.23** Budgeting1.71 Career Preparation0.52 Mentoring0.15 Academic Support0.60

Methodology-Objective 4 Objective 4: to determine the demographic, systematic risk, and systematic factors that best predict higher educational attainment among FCY  n=1,266 FCY ages years  Dependent Variable  Educational Attainment (continuous level variable)  Demographic Characteristics  Race  Gender  Psychosocial Risk Factors  Special education  Length of stay in foster care  Number of placement moves  Type of placement  Type of maltreatment  Systematic Factors  Special education  YAP services  Academic supportive services  Mentoring  Postsecondary supportive services  Budgeting program  Employment or vocational training services  Career preparation  Statistical Analysis  Multiple Regression Model (25)

Results-Objective 4 Variable b t Gender (-) ** Black (-) ** Certified relative (+) * Neglect (-) * Sexual abuse (-) * Physical abuse (-) * Length of stay in care (-) * Special education (-) *** Postsecondary support (+) *** Academic support (+) * N=1103 Prob F = 5.41 *** R 2 = Adjusted R 2 = 0.091

Methodology-Objective 5 Objective 5: to determine the demographic, systematic risk, and systematic promotive factors that best predict the likelihood of enrollment in postsecondary education among young adults who age out of foster care  N=157 young adults  ages years  Dependent Variable  Postsecondary education (binary level variable)  Demographic Characteristics  Race  Gender  Systematic Risk Factor  Delinquent  Statistical Analysis  Binary logistic regression (14)  Systematic Factors  YAP  Academic supportive services  Mentoring  Postsecondary supportive services  Budgeting program  Employment or vocational training services  Career preparation  Supervised housing  Independent living needs assessment

Results- Objective 5 Variable b z Budgeting program (+) * Independent living assess (+) * Postsecondary support (+) *** N = 145 LR X 2 (14) = Prob > X 2 = McFadden’s Count R 2 =0.697

Study Limitations  Utilization of secondary data  Lack of available data  Use of self-report data  Sample size  Validity and reliability of survey instruments not empirically tested

Implications  Policy  Extend foster care to age 21  Additional support and legislation for African-American males in foster care  Practice  Cultural competency training  Awareness and provision of services  Child welfare administrators  Increase the number of certified relative homes  Collaborative partnerships to provide postsecondary support and other supportive services  Ensure quality service delivery and effective communication of services offered and received

Conclusions  Receipt of postsecondary support was the strongest predictor of FCY and young adults achieving higher educational attainment  Males and African-Americans in foster care are less likely to achieve higher educational attainment than their counterparts  FCY placed with certified relatives are significantly more likely to achieve higher educational attainment than FCY in other placement types

Thanks For additional information or a list of references, please Dr. Dana R. Hunter: