Madison Juvenile Correctional Facility Internship

Download Report

Transcript Madison Juvenile Correctional Facility Internship

Predictors of Disciplinary
Problems within a Juvenile
Correctional Facility
Michelle Painter
Hanover College
Incarcerated Juveniles
• Indiana: 2386 (2010)
• 286 were female, 2100 were male
• Theft, battery, resisting law enforcement
Predicting Outcomes
Some incarcerated juveniles receive few disciplinary
reports and punishments and have a short stay,
whereas others receive many disciplinary reports and
punishments and have a long stay. What accounts for
the difference?
Facility
•
•
•
•
All girls maximum security correctional facility
Average daily population: 90
4-6 months (Median: 152 days)
Restorative Justice Program (Dhami et al., 2009)
• Reduce re-offending
• Improve self-esteem and pro-social skills
Archival Data
Approval of the Department Of Corrections (DOC)
• 2 databases: DOC (e.g., disciplinary reports) and
Medical Services (e.g., medication)
• DOC numbers used to match across databases but then
removed
Sample: All inmates that were released from the
facility between June 1st and December 31, 2010
Goal: identify predictors of disciplinary outcomes
within the facility.
Participants
• 111 females
• Age 12-19
• Ethnicity
•
•
•
•
60% Caucasian
26% African American
12% Hispanic
1% Mixed Ethnicity
Predictors
• Facility
• Therapy
• Visitation
• Individual Differences
•
•
•
•
Mental Health
Medication
Ethnicity
Age
Disciplinary Problems
• JCR’s per month
• Segregation per month
•
•
•
2 outliers removed
JCR's and Segregation are
correlated r=.77
Standardized and averaged
together
Predictors of Disciplinary
Problems
Variable
Estimate
p-value
Age
-0.41
<.001 ***
Disturbances of
Conduct
0.35
.01 *
Number of Medications
0.12
.02 *
Adjusted R2
0.32
F
16.95
p-value
Note: ***p< .001, **p< .01, *p< .05, .p< .10
<.001 ***
Age and Disciplinary Problems
Disturbances of Conduct
• Combination of CD, ODD, and other “disturbances
of conduct”
• 93% were diagnosed with a mental disorder
• Previous Research
• Mental disorders were strongest predictor for delinquency
in females (Welch-Brewer et al, 2011)
Disorders of Conduct and
Disciplinary Problems
Medication
•
66% were on at least one medication
•
•
•
59% antidepressants
32% antipsychotics
27% mood stabilizers
Medications and Disciplinary
Problems
Predictors of Disciplinary
Problems
Variable
Estimate
p-value
Age
-0.41
<.001 ***
Disturbances of
Conduct
0.35
.01 *
Number of Medications
0.12
.02 *
Adjusted R2
0.32
F
16.95
p-value
Note: ***p< .001, **p< .01, *p< .05, .p< .10
<.001 ***
Limitations and Future
Directions
• Self-report jeopardizes accuracy: Trauma, drug use
• Qualitative Research
• Exploration of other facilities
• Examine the effects of time
• Direction of Influence
• Policy recommendations for predictors
• Examine medications in more detail
• Socioeconomic Status
Questions?
As medications increased, so
did the amount of JCR’s
History of Abuse
•
30% experienced some type of abuse
•
•
•
•
20% experienced Sexual Abuse
10% experienced Physical Abuse
6% experienced Emotional Abuse
This did not predict any of the outcomes
Visitation
•
Visitation had no noticeable effect
• 29% of this sample received visitations
•
Therapy Not a predictor
• 80% participated in at least one therapy session