Most of the empirical research and practically all of the fieldwork conducted on gangs has been devoted to street gangs. In this article, Bureau of Prisons automated data were used to evaluate the contribution of prison gang affiliation to violence and other forms of misconduct within prisons. The authors also examined a measure of gang embeddedness to see if, similar to street gang research, it can be shown that core members of a prison gang were more likely to commit violent and other kinds of misconduct than were more peripheral members. Both specific and more generic gang indicators were related to violence and other forms of official prison misconduct. A composite measure of gang misconduct represents the threat that particular gangs pose to prison order. The “threat index” is model based and provides a graphical representation of the relative magnitude and heterogeneity of the threat posed by different gang affiliations.

The public sector needs to monitor the performance of the private prisons, and it is necessary to conduct the monitoring as objectively as possible. This article demonstrates that an often overlooked source of data, surveys of inmates, can be used to differentiate prisons on such Was a gag activity, and security, sanitation, and food service delivery. Hierarchical line models were used to generate the prison performance measures. We also show that inmates and staff largely agreed in in their assessments of conditions at the prison. Finally, we demonstrate that although there is considerable consistency for different measures within the topical areas that we examined, there is no necessary correspondence in performance across the different topical areas of gang management, safety and security, sanitation, and food service delivery. Although survey will never and should never replace operational reviews and audits, we demonstrate that they can be effectively used to obtain information about operational differences between prisons.

Research Summary: The current research investigates the faith, sociodemographic, psychological, and criminal history factors associated with the decision to volunteer for a faith‐based program. Operational records were combined with data collected from self‐administered surveys. The results of the logistic regression model were successful in identifying factors related to program participation, including factors not included in previous studies. The findings suggest that program participants are motivated to make changes in their lives and are seeking their way in a religious sense. For example, program participants scored higher on average on the motivation for change scale used here, had higher rates of attendance in religious services since incarceration, and were more active in reading sacred scripture. Conversely, inmates who claimed higher levels of knowledge about their faith were less likely to participate in the Life Connections Program examined here. Policy Implications: The results of the analysis suggest that certain religious characteristics are associated with participation in a faith‐based program. The implication is that religious program providers need to pay attention to the match between the program content and the charactertistics of their potential program participants. The results also demonstrate the need to capture differences between participants and comparison subjects on dimensions not usually included in evaluations of faith‐based programs. Without knowledge of the selection process, there is no way to determine whether observed differences between program participants and “comparisons” are due to actual program effects or are an artifact of preexisting differences between the groups.

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