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The role of risk. Carla Herrera David DuBois Jean Grossman. Study framework. The study addressed 4 questions: Can mentoring programs reach “higher-risk” youth? Does match quality differ depending on youth risk? Do the effects of mentoring vary with youth’s risk profile?
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The role of risk Carla Herrera David DuBois Jean Grossman
Study framework • The study addressed 4 questions: • Can mentoring programs reach “higher-risk” youth? • Does match quality differ depending on youth risk? • Do the effects of mentoring vary with youth’s risk profile? • What practices are needed to ensure effectiveness? • Partnership between Washington State Mentors, P/PV & David DuBois
Design • 7 agencies • 5 BBBS • 1 targeting higher-risk youth • 1 university-based • 2 study components • Random assignment (2 agencies) • Quasi-experimental (all 7 agencies)
The youth & their mentors • 1,310 Youth • 53% boys • 43% white • 11.39 years old • 915 Mentors • 48% male • 82% white • 23% students
Defining “risk” ENVIRONMENTAL RISK • Economic Adversity • Gangs/drugs in neighborhood; • Low income. • Family Risk/Stress • Child in foster care; • Incarcerated parent/relative; • Single-parent; • Recent homelessness. • Peer Difficulties • Lack of any close friends; • Being bullied. INDIVIDUAL RISK • Academic Challenges • Failing two or more classes; • Frequent school absences. • Problem Behavior • Drug/alcohol use; • Multiple school suspensions; • Police contact; • Bullies others. • Mental Health Concerns • Depressive symptoms; • Mental health issues.
Who were the volunteers? Many were experienced: • 40% past professional experience with youth • 26% previously mentored • Many had worked with youth facing challenges BUT… • 32% had no past experience with at-risk youth • 40% had no personal experience with these risk factors
What kind of relationships developed? • Fairly high-quality relationships • At 13 months: AML= 9.6 mos; 9 mos for first match • 32% up to 6 months • 26% 6-12 months • 42% over 12 months • No major differences across risk groups for quality or length
Did youth risk affect program benefits? Not as much as you might expect! • Evidence of benefits for all four groups in at least one area • Similar benefits across groups But… • Youth high in only individual risk seemed to reap the strongest/most consistent benefits
Implications: Youth Pre-assessment • Risk • Program interest • Depression • Family support
Implications: Mentor screening • Who do they envision working with? • What do they think the program’s/their role is? • What do they want to achieve with their mentee?
Implications: Mentor Training and Support • Poverty • Depression • Developing a relationship with youth’s family • Specific challenges facing their mentee
Environmental Risk • Economic Adversity • Lives in public housing; • Lack of housing stability; • Difficulty paying bills; • Gangs/drugs in neighborhood; • No working parents; • Low income. • Family Stress • Child in the foster care system; • A sibling in foster care; • An incarcerated parent/relative; • Family drug/alcohol problems; • Single-parent; • Unstable living situation; • Recent parent separation; • Frequent fights in home; • Recent death of someone close to child; • Recent homelessness; • Parent has less than high school education. • Peer Difficulties • Lack of any close friends; • Being bullied. Individual Risk • Academic Challenges • Failing two or more classes; • Condition interfering with school; • Missing school 3+ times a month; • ESL. • Problem Behavior • Drug/alcohol use; • School suspensions; • Juvenile hall; • Ran away from home; • Gang involvement; • Bullies others. • Mental Health Concerns • Exhibiting depressive symptoms; • Diagnosed with mental health problem.