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Associations between prisons and recidivism: A nationwide longitudinal study.
Rongqin Yu1, Niklas Långström2,3, Mats Forsman2
1Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Plos One
|May 17, 2022
Summary
Controlling for individual factors significantly reduces observed prison differences in recidivism rates. Within-individual analyses show minimal prison disparities, emphasizing the need for robust research designs in criminology studies.
Area of Science:
- Criminology
- Public Health
- Sociology
Background:
- Recidivism rates vary significantly across correctional facilities, prompting research into prison-specific influences.
- However, observed differences may be confounded by unmeasured individual-level factors, such as genetics and early life experiences.
Purpose of the Study:
- To investigate differences in recidivism rates between Swedish prisons.
- To account for confounding factors using both between-individual and within-individual research designs.
Main Methods:
- Longitudinal data from 37,891 individuals released from 44 Swedish prisons (2006-2013) were analyzed.
- Between-individual analyses used Cox regression, adjusting for covariates.
- Within-individual analyses used stratified Cox regression, controlling for time-invariant individual factors.
Main Results:
- Between-individual analyses revealed substantial differences in recidivism hazards across prisons (hazard ratios 1.22-4.99).
- Within-individual analyses, accounting for all time-invariant confounders, showed minimal differences (hazard ratios 0.95-1.05).
- Small differences were observed for violent and non-violent crimes separately.
Conclusions:
- Observed prison-based differences in recidivism are largely attributable to time-invariant individual characteristics.
- Research designs that control for individual-level confounding are crucial for accurate comparisons of correctional facilities.
- Findings underscore the importance of sophisticated statistical methods in criminological research.
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