Transcript Document
Preventing Youth Delinquency Identifying School Risk & Protective Factors Christine A. Christle 2004 School to Prison Pipeline School Failure Suspension Dropout Delinquency The Co$t of Incarceration Penn State or The State Pen It’s your money! Risk Factors - Delinquency Life Domains Individual Family School Community Peer Relations School Weak academics Low school involvement Truancy Suspension Expulsion Dropout Weak Academics & Poverty Exposure to print material Low SES - 40 hrs High SES - 1000 hrs Vocabulary skills Following directions Failure Cycle Cognitive deficits lead to poor academic performance Poor academic performance is a strong risk factor for delinquency Weak Academics & Behavior Low school achievement predicts delinquency 20% of students with EBD are arrested while in school 58% are arrested 5 years after school 70-87% of incarcerated youth have LD or EBD School Factors 3 Studies in Kentucky 747 Elementary Schools 161 Middle Schools 196 High Schools Elementary School Study Stage 1 Correlation analysis of school characteristics & academic achievement Stage 2 Regression analysis Stage 3 Qualitative analysis of climate in 3 HPHA & 3 HPLA schools Ke ntuck y Ele m e ntar y School Data - 2000/2001 The Re lations hip Be tw ee n Pove r ty and Achie ve m e nt 3.000 2.000 Free & Reduced Lunch Z Scores 1.000 0.000 -4.000 -3.000 -2.000 -1.000 0.000 -1.000 -2.000 -3.000 CTBS Z Scores 1.000 2.000 3.000 4.000 Research Questions 1. What specific school characteristics are related to academic achievement? 2. What characteristics separate HPHA schools from HPLA schools? Results Stages 1 & 2 School Characteristics Related to Academic Achievement Correlation Poverty: % of students in FRLP - 34% Attendance rate: + 26% Regression Together (FRLP % & ATT) 42% Results Stage 3 Case Studies - HPHA vs HPLA Smaller schools Better building conditions More adult/student interactions More positive interactions Higher staff morale & collegiality Higher level of student task engagement More money per student More family involvement Suspension Most common disciplinary consequence in schools Disproportionately used Ethnicity, SES, gender, academic competence Most at Middle School level Poor academic skill - strong predictor of school exclusion Suspension Rates increasing US: steady increase over last 25 years Kentucky: 00-01 68,523 01-02 74,054 02-03 76,886 Most are repeat offenders Middle School Study Stage 1 Correlation analysis of school characteristics & suspension Stage 2 Comparison analysis of 20 HSS & 20 LSS Stage 3 Qualitative analysis of climate in 4 HSS & 4 LSS The Re lations hip Be tw e e n Pove rty and Achie ve m e nt in KY M iddle Schools for 20012002 (FRLP Pe rce ntage s and CTBS Pe rce ntile s ) 3.00 2.00 FRLP z Scores 1.00 0.00 -4.000 -3.000 -2.000 0.000 -1.000 -1.00 -2.00 -3.00 CTBS z Scores 1.000 2.000 3.000 Research Questions 1. What specific school characteristics are related to suspension rate? 2. What characteristics separate high-suspending schools from low-suspending schools? Results Stage 1 & 2 Characteristics Differentially Related 20 HSS Number of board violations Dropout rate Low SES Law violations $tudent $pending 20 LSS Attendance rate Academic test scores Ethnic background C/W HSS and LSS Difference - Suspension 1 1 - HSS and LSS Difference - Ethnicity HSS and LSS Difference - Poverty 1 - Results Stage 3 Case Studies - LSS vs HSS Administrative Leadership More support for staff Proactive discipline philosophy Teacher & Staff Behaviors More positive interactions Active teaching style Results Stage 3 Case Studies - LSS vs HSS Student Behaviors More positive interactions More engagement in class Structure & Programming Better building condition More ambiance School-wide focus More school connections Dropout Low SES youth 2.4 X more likely to drop out Suspended youth 3 X more likely to drop out & become delinquent Over 80% of prison inmates are dropouts 1/2 of heads of households on welfare are dropouts High School Study Stage 1 Correlation analysis of school characteristics & dropout Stage 2 Comparison analysis of 20 HDOS & 20 LDOS Stage 3 Qualitative analysis of climate in 4 HDOS & 4 LDOS Dropout and Achie ve m e nt 14.00% 12.00% Dropout Rate 01-02 10.00% 8.00% Series1 6.00% 4.00% 2.00% 0.00% 0.00 10.00 20.00 30.00 40.00 50.00 60.00 CTBS NP Scores 01-02 70.00 80.00 90.00 100.00 Research Questions 1. What specific school characteristics are related to dropout rate? 2. What characteristics separate high-dropout schools from lowdropout schools? Current Study School Variables Enrollment FRLP % # Rule violations # Law violations Suspension rate Retention rate Expulsion rate Ethnic background Attendance rate Academic achievement scores % of students with disabilities Results: Pending Lessons Learned Thus Far Resilience Meaningful Participation Students help develop dress code, lunch menus High Expectations All students & staff (PRIDE program) Caring Adult Relationships All staff involved with students in clubs, activities BIG IDEA ! SCHOOL STAFF KNOW Problems Solutions ASK THEM! Dilemma How can we transform this research into practice? Thank You Christine A. Christle University of Kentucky The National Center on Education, Disability, and Juvenile Justice