Prison Project (Anja Dirkzwager & Paul Nieuwbeerta): Self-reported and officially registered data for about 1,900 male prisoners held in correctional facilities in the Netherlands. It is a longitudinal dataset: the prisoners are followed for (at least) three years and interviewed/surveyed at several moments during their imprisonment, as well as six months and 24 months after their release from prison. The data are collected to address the following overall aims:
- To examine in detail the conditions of confinement and how prisoners experience the conditions of confinement in the Netherlands.
- To examine the impact of imprisonment on a variety of life domains (e.g. social economic status, marriage/divorce chances, health, social networks, wellbeing of prisoners’ partners, wellbeing of prisoners’ children)
- To examine the impact of imprisonment on prisoners’ future criminal behavior
- To explore intermediate factors that may explain any effect of imprisonment
The first wave of the Prison Project was conducted when the prisoners were held in pre-trial detention for about three weeks. Self-reported data are collected using structured interviews and self-administered questionnaires. Moreover, a variety of officially registered data are collected (e.g. criminal record data, penitentiary files, probation services, municipal registry). The instruments used in the Prison Project cover multiple life domains (e.g. criminal behavior, employment, social networks, family formation and disruption, health) as well as detailed characteristics of the prison experience (e.g. prison regime, sentence length, disciplinary infractions, participation in behavioral interventions). In addition, many intermediate factors that may explain why imprisonment influences prisoners’ life-course circumstances are measured (e.g. labeling, self-control, social capital, criminal attitudes, and coping style). Language: Dutch. See also www.prisonproject.nl
Regular planning and control data of the Dutch prison system. (Toon Molleman): The results of a regular staff and inmate national survey. Language: Dutch.
Predictors of institutional infractions and health care use. (Leonel Cunha Gonçalves): Four types of quantitative data.
1. Meta-analysis: predictors of prisoners’ institutional infractions and health care use. Data set of 90 studies aggregated in 75 independent samples coming from 13 different countries. The data set produced 1,815 effect sizes, including 488 predictors (personal and contextual level) and 34 outcomes. The database is in Comprehensive Meta-analysis format (can be exported to Excell with some work). Language: English.
2. Longitudinal study: predictors of institutional infractions and health care use among 75 young males (aged 17 to 22) during their first year (i.e., 1st , 3rd, 6th, and 12th month) in a Portuguese prison hosting exclusively young males. Predictors embrace several personal level covariates (i.e., socio-demographics, criminological and clinical ones) including the Level of Service Inventory Revised (LSI-R ‒ Andrews & Bonta, 1995), Brief Symptom Inventory (BSI ‒ Derogatis, 1993), the Prison Environment Inventory (Wright, 1985) and the Prison Adjustment Questionnaire (Wright, 1985). Stata format (easily convertible to any other software). Language: English.
3. Cross-sectional study: predictors of prisoners’ institutional infractions and health care use among 266 male prisoners (across all age groups) in 8 different Portuguese prisons. The outcome data was collected retrospectively using a one year observation period. Predictors and outcomes are the same as the longitudinal study. This database is still not constructed (though the data is already colected) and will be analysed in the future