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25-year outcomes of an in-prison therapeutic community in Texas
Wiese, Amanda Lee
Wiese, Amanda Lee
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7/21/2022, 7/21/2022
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Abstract
This study evaluated whether in-prison therapeutic community treatment, risk classification (High vs. Low), and aftercare completion were prospectively associated with time to first arrest following release from prison. Moreover, this project established a predictive algorithm of reincarceration using multilevel modeling to identify variables that can be targeted during treatment to decrease reincarceration rates. Based on the Risk-Need-Responsivity model, measures of the criminogenic needs (i.e., family relationships, pro-criminal attitudes, antisocial personality pattern, substance use, and social supports for crime) were compared to static risk factors in terms of their added predictive utility in modeling long-term recidivism trajectories. Results can be used to inform the field’s current understanding of in-prison therapeutic communities on recidivism and ways to optimize client selection and the treatment continuum are discussed.
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Subject(s)
Experimental psychology
Quantitative psychology
Criminal justice
Therapeutic communities
Risk-need-responsivity model
Quantitative psychology
Criminal justice
Therapeutic communities
Risk-need-responsivity model
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Dissertation
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Psychology