The aim of the current study was to examine if prisoner characteristics (personal characteristics and prison climate) and prison environment were related to prisoner misconduct, using data from a nationwide prospective cohort study examining the experience of prison climate in the Netherlands ( N = 4,427). The results indicated that both personal characteristics and certain (social) domains of prison climate, such as the quality of staff–prisoner relationships, were related to prisoner misconduct, as well as prison regime. Furthermore, it was shown that registration data, which underestimate misconduct, may be (more than self-reported data) influenced by unit-level factors, such as regime characteristics. When using registration data, it is therefore particularly important to properly control for unit-level influences.

Little is known about the relative influence of shared and individual perceptions of prison climate on adjustment to incarceration. This study investigated the relationship between prison climate and well-being among a sample of 4,538 adults incarcerated in the Netherlands. Prison climate dimensions were considered both as prison unit-level variables and as individual-level perceptions. Multilevel analysis results showed that most variance for well-being is found at the individual rather than the unit level. This implies that it does not make much of a difference for well-being in which prison unit someone resides. Positive effects of prison climate on well-being were primarily found for individual perceptions of prison climate, rather than for the aggregate unit measures. More research is needed to determine whether this finding holds true in other countries. The findings confirm the importance of disentangling the contribution of prison climate at the individual and group level.

Purpose The Prison Project is a nationwide prospective cohort study examining the development of criminal behavior and other life circumstances before, during, and after detention in the Netherlands. Methods The target population of the study consisted of all men, aged 18-65 years, and born in the Netherlands, who entered pre-trial detention between October 2010 and April 2011. Participants were questioned repeatedly during detention and six and 24 months after release. Self-reported information on a variety of topics was collected at each measurement, including demographics, lifestyle, personality traits, self-control, attitudes towards criminal justice actors, experiences during detention, and different life domains (i.e., recidivism, employment, financial and housing situation, health, family situation, social networks). Moreover, detailed longitudinal information was gathered from different official registration systems.

The Levenson Self-Report Psychopathy (LSRP) scale is a self-report measure that can be used to assess psychopathic traits in community samples, and recent research suggested that its three-factor model (Egocentricity, Callousness, and Antisocial) has promising psychometric properties. However, no study to date has validated the LSRP in a longitudinal framework. The present study sought to validate the LSRP scale in a longitudinal design using a sample of Dutch emerging adults ( ns = 970 and 693 at time points 1 and 2, respectively). We assessed longitudinal measurement invariance and the stability of psychopathic traits over an 18-month time period, from age 20 to age 21.6. Furthermore, we replicated and extended findings on the factor structure, reliability, and construct validity of the Dutch LSRP scale. Confirmatory factor analysis revealed that the three-factor model fit the data well. Evidence of partial longitudinal measurement invariance was observed, which means that the Dutch translation of the LSRP scale is measuring an equivalent construct (and overall latent factor structure) over time. Psychopathic traits were relatively stable over time. The three LSRP subscales showed largely acceptable levels of internal consistency at both time points and showed conceptually expected patterns of construct validity and predictive validity, with a few notable exceptions.

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