Evaluating peer-influence processes in a prison-based therapeutic community: a dynamic network approach.

BACKGROUND: The Therapeutic Community (TC) is a common treatment modality for incarcerated individuals with substance use disorders. TCs rely on peer group processes to promote lasting behavioral and identity change, yet prior research has not adequately tested the peer influence mechanisms underlying the theoretical model. This study applied dynamic network analysis to estimate peer influence processes central to TC philosophy. METHODS: A stochastic actor-oriented model (SAOM) was applied to ten months of social network data collected from prisoner surveys within a TC unit (N = 62) in a medium-security Pennsylvania prison. Respondents (N = 177, 84% of unit) completed at least one prison survey and provided network and community role model nominations. RESULTS: Although residents' levels of treatment engagement were significantly correlated with their nominated peers, estimates of peer influence for treatment engagement were non-significant in longitudinal network models. Nor were estimates of peer influence significantly greater for peers perceived as community role models. Rather, inmates connected with peers who were of similar treatment engagement as themselves (i.e., a peer selection process), and the latter primarily resulted from racial homophily in the TC social network. CONCLUSIONS: Inconsistent with the desired treatment model, treatment engagement diffusion was not evident in the sampled TC. Results suggested that highly-engaged residents clustered together at the center of the TC's social structure but had little impact on less-engaged and peripheral inmates. The relatively short (i.e., four-month) program length and moderate-to-low treatment fidelity likely contributed to the lack of peer influence processes.

Estimated costs to the Pennsylvania criminal justice system resulting from the opioid crisis.

The opioid crisis has made financial impacts across all levels of the public sector. This report focuses on costs related to the criminal justice system (CJS) in Pennsylvania. Costs impacting 3 principal areas of the CJS are examined: opioid-related arrests, court costs, and incarceration. Analysis of the state-level CJS is our main focus; no local-level costs are included. Through this examination, costs of the opioid crisis for the period of 2007 to 2016 were estimated using opioid costs for 2006 as a baseline. Total costs to the Pennsylvania CJS during this period were over $526 million, with most of that accounted for by state corrections. Opioid-related trends in arrests, court proceedings, and incarceration were not sufficiently well documented to allow for rigorous analysis in earlier periods, and this was the primary limitation to our analysis.

Where "Old Heads" Prevail: Inmate Hierarchy in a Men's Prison Unit.

Research of inmate social order is a once-vibrant area that receded just as American incarceration rates climbed and the country's carceral contexts dramatically changed. This study reengages inmate society with an abductive mixed methods investigation of informal status within a contemporary men's prison unit. The authors collect narrative and social network data from 133 male inmates housed in a unit of a Pennsylvania medium-security prison. Analyses of inmate narratives suggest that unit "old heads" provide collective goods in the form of mentoring and role modeling that foster a positive and stable peer environment. This hypothesis is then tested with Exponential Random Graph Models (ERGMs) of peer nomination data. The ERGM results complement the qualitative analysis and suggest that older inmates and those who have been on the unit longer are perceived by their peers as powerful and influential. Both analytical strategies point to the maturity of aging and the acquisition of local knowledge as important for attaining informal status in the unit. In sum, this mixed methods case study extends theoretical insights of classic prison ethnographies, adds quantifiable results capable of future replication, and points to a growing population of older inmates as important for contemporary prison social organization.

TOWARD A CRIMINOLOGY OF INMATE NETWORKS.

The mid-twentieth century witnessed a surge of American prison ethnographies focused on inmate society and the social structures that guide inmate life. Ironically, this literature virtually froze in the 1980s just as the country entered a period of unprecedented prison expansion, and has only recently begun to thaw. In this manuscript, we develop a rationale for returning inmate society to the forefront of criminological inquiry, and suggest that network science provides an ideal framework for achieving this end. In so doing, we show that a network perspective extends prison ethnographies by allowing quantitative assessment of prison culture and illuminating basic characteristics of prison social structure that are essential for improving inmate safety, health, and community reentry outcomes. We conclude by demonstrating the feasibility and promise of inmate network research with findings from a recent small-scale study of a maximum-security prison work unit.

PREDICTING RECIDIVISM FOR RELEASED STATE PRISON OFFENDERS: Examining the Influence of Individual and Neighborhood Characteristics and Spatial Contagion on the Likelihood of Reincarceration.

We examined the influence of individual and neighborhood characteristics and spatial contagion in predicting reincarceration on a sample of 5,354 released Pennsylvania state prisoners. Independent variables included demographic characteristics, offense type, drug involvement, various neighborhood variables (e.g., concentrated disadvantage, residential mobility), and spatial contagion (i.e., proximity to others who become reincarcerated). Using geographic information systems (GIS) and logistic regression modeling, our results showed that the likelihood of reincarceration was increased with male gender, drug involvement, offense type, and living in areas with high rates of recidivism. Older offenders and those convicted of violent or drug offenses were less likely to be reincarcerated. For violent offenders, drug involvement, age, and spatial contagion were particular risk factors for reincarceration. None of the neighborhood environment variables were associated with increased risk of reincarceration. Reentry programs need to particularly address substance abuse issues of ex-offenders as well as take into consideration their residential locations.