Predicting recidivism in a scottish prison sample

Cooke, David J.; Michie, Christine

doi:10.1080/10683169808520009

Cited by 15 publications

(11 citation statements)

References 19 publications

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“…A second possibility is that the legal class ‘psychopathic disorder’ is operating as a proxy for ‘psychopathy’ (Hare, 1970) and that psychopathy is independently associated with conviction after discharge (Harris et al , 1991). It is unclear from previous research, however, that such an effect would be limited to serious offending (Cooke et al , 2001; Stadtland et al , 2005).…”

Section: Discussionmentioning

confidence: 88%

Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic

Buchanan

Leese²

2006

Br J Psychiatry

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Section: Discussionmentioning

confidence: 88%

Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic

Buchanan

Leese²

2006

Br J Psychiatry

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“…It is highly probable that age and previous convictions are related to recidivism (Cooke & Michie, 1998), and therefore, initial tests for group differences on these two variables were conducted. The mean age of the reconvicted group was 26.00 years (SD = 8.32), compared to 32.19 years (SD = 12.72) for the group who was not reconvicted.…”

Section: Resultsmentioning

confidence: 99%

The Level of Service Inventory–Revised Profile of English Prisoners

Hollin¹,

Palmer

2006

Criminal Justice and Behavior

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This reconviction study follows a previous needs analysis, using the Level of Supervision Inventory–Revised (LSI-R), with English prisoners. LSI-R scores at prison discharge and reconviction data are available for a sample of the original population. The reconvicted offenders have a higher LSI-R total score, are in higher risk bands, and have higher levels of need on several subscales. With statistical control of key variables, the difference in total score remains, but differences in subscale scores largely disappear. Multivariate analysis reveals a robust effect of LSI-R total score, but not subscale and risk band scores, in contributing to models of both reconviction and time to reconviction. The study provides support for risk assessment with the LSI-R in the English prison service.

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“…However, the empirical findings regarding predictors of prisoners’ misbehavior and health care utilization are inconsistent. Results have low generalizability across outcomes, settings, type of offenders, and populations (Cooke, Michie, & Ryan, 2001; Endrass, Rossegger, Frischknecht, Noll, & Urbaniok, 2008; Guy et al, 2005; Leistico et al, 2008; Singh et al, 2011). In addition, differences in the results may be explained by different research methodologies, like representative versus convenience samples, retrospective versus prospective designs, and the use of self-reports versus official prison records (Guy et al, 2005; Leistico et al, 2008; Schenk & Fremouw, 2012; Singh et al, 2011).…”

Section: Prior Research Synthesizing Empirical Findingsmentioning

confidence: 97%

Predicting Infractions and Health Care Utilization in Prison

Gonçalves

Martins

et al. 2014

Criminal Justice and Behavior

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This meta-analysis was conducted to examine predictors of two indicators of inmates’ adjustment to prison life: institutional infractions and health care utilization. Focusing on male prisoners, the final data set consisted of 90 studies and produced 1,815 correlations. Predictors were grouped into personal and contextual characteristics. Regarding institutional infractions, the strongest personal predictors were prior prison misconduct, aggressiveness, impulsiveness, antisocial traits, institutional risk, and younger age. At the contextual level, higher infraction rates were observed in prisons with more gang activity, and in prisons housing more inmates and a larger proportion of maximum security inmates. Major correlates of health care utilization were prior mental health problems, older age, and physical symptoms. Moderator effects were observed for prison sample size, sample selection, length of follow-up, geographic location, and type of analysis. These findings may help to improve prison classification procedures to optimize prisoners’ management and treatment.

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Predicting recidivism in a scottish prison sample

Cited by 15 publications

References 19 publications

Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic

Quantifying the contributions of three types of information to the prediction of criminal conviction using the receiver operating characteristic

The Level of Service Inventory–Revised Profile of English Prisoners

Predicting Infractions and Health Care Utilization in Prison

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