Literature DB >> 20229690

Complex behavioral patterns and trajectories of domestic violence offenders.

Alison Snow Jones1, D Alex Heckert, Edward D Gondolf, Qiang Zhang, Edward H Ip.   

Abstract

Evidence-based practice within the criminal justice system has relied primarily on cumulative reports of reassaults or rearrests, especially in evaluating effectiveness of domestic violence (DV) interventions. We use a longitudinal sample of DV offenders arrested and referred to DV offender programs in four cities to examine complex multi-outcome patterns of violent and abusive behavior and trajectories between patterns over time. Offenders and their partners were surveyed at program intake and followed for 15 months (N = 550). A Hidden Markov Model identifies four distinct behavioral patterns. Trajectory analysis indicates that the most abusive state is relatively stable and indicative of a high probability of future physical assault. Results suggest that evaluation based on complex outcomes may improve criminal justice intervention effectiveness, risk assessment, and risk management.

Mesh:

Year:  2010        PMID: 20229690     DOI: 10.1891/0886-6708.25.1.3

Source DB:  PubMed          Journal:  Violence Vict        ISSN: 0886-6708


  1 in total

1.  Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development.

Authors:  Qiang Zhang; Alison Snow Jones; Frank Rijmen; Edward H Ip
Journal:  J Comput Graph Stat       Date:  2012-01-01       Impact factor: 2.302

  1 in total

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