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