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dc.contributor.advisorKnight, Kevinen_US
dc.creatorWiese, Amanda Lee
dc.date.accessioned2022-07-26T13:30:27Z
dc.date.available2022-07-26T13:30:27Z
dc.date.issued2022-07-21
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/54308
dc.description.abstractThis 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.en_US
dc.format.mediumFormat: Onlineen_US
dc.language.isoenen_US
dc.subjectExperimental psychologyen_US
dc.subjectQuantitative psychologyen_US
dc.subjectCriminal justiceen_US
dc.subjectTherapeutic communitiesen_US
dc.subjectRisk-need-responsivity modelen_US
dc.title25-year outcomes of an in-prison therapeutic community in Texasen_US
dc.typeTexten_US
etd.degree.levelDoctor of Philosophyen_US
local.collegeCollege of Science and Engineeringen_US
local.departmentPsychologyen_US
dc.type.genreDissertationen_US


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