Trajectories of dynamic risk factors during forensic treatment:Growth trajectory of clinical risk factors in a sample of Dutch forensic patients

In this study, growth trajectories (from admission until unconditional release) of crime-related dynamic risk factors were investigated in a sample of Dutch forensic patients (N = 317), using latent growth curve modeling. After testing the unconditional model, three predictors were added: first-time offender versus recidivist, age, and treatment duration. Postanalyses were chi-square difference tests, t tests, and analyses of variance (ANOVAs) to assess differences in trajectories. Overall, on scale level, a decrease of risk factors over time was found. The predictors showed no significant slo... Mehr ...

Verfasser: Van der Linde, Robin
Bogaerts, Stefan
Garofalo, Carlo
Blaauw, E.
De Caluwé, Elien
Billen, Eva
Spreen, Marinus
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: Van der Linde , R , Bogaerts , S , Garofalo , C , Blaauw , E , De Caluwé , E , Billen , E & Spreen , M 2020 , ' Trajectories of dynamic risk factors during forensic treatment : Growth trajectory of clinical risk factors in a sample of Dutch forensic patients ' , International Journal of Offender Therapy and Comparative Criminology , vol. 64 , no. 15 , pp. 1491-1513 . https://doi.org/10.1177/0306624X20909219
Schlagwörter: CLASSIFICATION / CRIME / CRITERIA / HKT-R / MENTAL-HEALTH / OFFENDERS / OUTCOMES / OUTPATIENTS / PREVALENCE / RECIDIVISM / STIGMA / forensic psychiatry / latent growth analysis / risk factors
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29029663
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.tilburguniversity.edu/en/publications/097193d4-ad6b-43ba-aed7-6885e07c66f0