Modifying The Criminalization Hypothesis: Predicting Jail Diversion Outcome With Clinical, Criminological, And Personality Factors
Date of Degree
Keith A. Markus
Correctional Offender Management Profiling for Alternative Sanctions, Jail diversion, Mental health court, Personality Assessment Inventory, Serious mental illness, Violence Risk Appraisal Guide
There are a disproportionate number of individuals with serious mental illness in the criminal justice system, compared to the general population. Mental health courts and jail diversion programs were developed to divert individuals with mental illness out of jails into community treatment to ease the overburden of treating psychiatric disorders in the criminal justice system. These programs have become increasing popular, but little is known about the characteristics of the diverted individuals that result in successful outcomes. The purpose of this study is to test different causal models of noncompliance as predicted by clinical, criminological, and personality variables, and examine the incremental validity of widely used clinical and risk assessment instruments over the screening instrument currently employed by diversion programs. Cox regression models do not support the strict interpretation of the criminalization hypothesis that treatment noncompliance is a result of clinical symptoms alone. Rather, treatment noncompliance is predicted by personality variables. Neither the Personality Assessment Inventory (PAI) nor the Violence Risk Appraisal Guide (VRAG) demonstrated incremental validity over the Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) for predicting noncompliance. In addition, the PAI personality features, substance abuse, and aggression scales, were associated with all forms of treatment noncompliance.
Gu, Wen, "Modifying The Criminalization Hypothesis: Predicting Jail Diversion Outcome With Clinical, Criminological, And Personality Factors" (2014). CUNY Academic Works.