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...

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Veröffentlicht in:	International journal of offender therapy and comparative criminology 2020-11, Vol.64 (15), p.1491-1513
Hauptverfasser:	Van der Linde, Robin, Bogaerts, Stefan, Garofalo, Carlo, Blaauw, Eric, De Caluwé, Elien, Billen, Eva, Spreen, Marinus
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Age differences Age groups Chi-square test Crime Forensic psychiatry Individual differences Latent growth curve models Patients Recidivists Risk factors Time
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