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Washington State Institute for Public Policy
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Therapeutic communities for individuals with personality disorders

Adult Criminal Justice
  Literature review updated December 2016.

Prison-based therapeutic communities are an intensive form of therapeutic treatment. Participants live in a continuous therapeutic environment apart from the general prison population. Therapeutic communities use a hierarchical social learning model, wherein participants earn increased social and personal responsibility as they progress through stages of treatment. Treatment involves a highly structured therapeutic environment, peer support and peer accountability intended to teach participants prosocial norms and behaviors. Participants may remain in the therapeutic community for 12 to 22 months with programming on weekdays and live-in staff.

Only one rigorous evaluation could be located for this population.
 
ALL
META-ANALYSIS
CITATIONS

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the program impacts measured in the research literature (for example, impacts on crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases. See Estimating Program Effects Using Effect Sizes for additional information on how we estimate effect sizes.

The effect size may be adjusted from the unadjusted effect size estimated in the meta-analysis. Historically, WSIPP adjusted effect sizes to some programs based on the methodological characteristics of the study. For programs reviewed in 2024 or later, we do not make additional adjustments, and we use the unadjusted effect size whenever we run a benefit-cost analysis.

Research shows the magnitude of effects may change over time. For those effect sizes, we estimate outcome-based adjustments, which we apply between the first time ES is estimated and the second time ES is estimated. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured No. of effect sizes Treatment N Effect sizes (ES) and standard errors (SE) Unadjusted effect size (random effects model)
ES SE Age ES p-value
30 1 694 -0.175 0.125 32 -0.175 0.159

Citations Used in the Meta-Analysis

Taylor, R. (2000). A seven-year reconviction study of HMP Grendon therapeutic community (Research Findings No. 115). London: Home Office.