The majority of the extant literature on inmate victimization considers only one level of analysis, thus ignoring the interaction effects between inmate- and prison-level variables. To extend this literature, multilevel modeling techniques were used to analyze self-report data from more than 1,000 inmates and 30 prisons in Kentucky, Tennessee, and Ohio. Results revealed that demographic variables were strong predictors of physical victimization (i.e., race and assaultive behavior). Also, security level had a contextual direct effect on physical victimization. Property victimization was best explained with an integrated model including inmate (i.e., race, assaultive behavior, prior education, prior employment, and time served), contextual (i.e., security level and proportion non-White), and micro-macro interaction variables (i.e., Race x Security Level). Policy implications and suggestions for future research are discussed.
Most literature on inmate assaultive behavior considers only one level of analysis, thereby ignoring the importance of prison context on inmate behavior. This study improved on past research by combining inmate and prison-level data into a multilevel model explaining inmate-on-inmate, nondeadly assaults. Data from 1,054 male inmates in 30 prisons revealed that age and aggression were the most robust predictors of inmate-on-inmate assaults. In terms of multilevel effects, aggressive inmates were found to commit more assaults in prisons that were more crowded and had a greater percentage of younger inmates (e.g., younger than age 25). Policy implications and suggestions for a multilevel theory of prison violence are discussed.
Correctional policies, such as the elimination of Pell Grants to prisoners, often limit inmate educational opportunities. Thus, examination of the possible negative consequences of such actions seems important. Though characterized by some inconsistency, previous research has suggested that post-secondary education within prison has the beneficial effect of reducing recidivism. What is missing is an explicit comparison of the effects of different types of correctional education programs, with a specific focus on discerning the relative effects of college versus non-college education. The present study addresses this issue through analysis of 972 Ohio inmates paroled or released from prison between 1989 and 1992. Our results suggest that college has a substantially stronger negative impact upon recidivism hazard rates than do other forms of correctional education (e.g. high school, GED, vocational education) and imply that, perhaps, the current policy regarding postsecondary correctional education programs is misguided.
There is very little current information on the nature and extent of contacts between inmate parents and their children. To fill in this gap, it was the purpose of this study to determine how parental contacts with children, in the form of visits, mail, and telephone calls, affected inmate behavior behind bars. A subsample of more than 6,000 inmate parents from a larger sample of state prison inmates in the United States was analyzed. Results showed that inmates who got visits, both males and females, and mail (female inmates only) were more likely to be written up and/or found guilty of rule violations. Policy implications and suggestions for future research are discussed.
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