Predicting relapse: a meta-analysis of sexual offender recidivism studies.

By R. Hanson, Monique T. Bussière, M. Alexander, L. Furby, G. Hall, R. Lieb, Robert Freeman-Longo, R. Prentky, M. Weinrott, S. Williams and 4 more. 1998

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Citations in the corpus

The accuracy, fairness, and limits of predicting recidivism (2018, positive): “The importance of these two criteria is consistent with the conclusions of two meta-analysis studies that set out to determine, in part, which criteria are most predictive of recidivism (9, 10).”
Assessing Risk for Violence in Adolescents Who Have Sexually Offended (2008, background): “Given the well-documented limitations of unstructured clinical judgments (e.g., Hanson & Bussiere, 1998 ), several adolescent risk assessment tools have recently been developed to assist clinicians.”
Identifying Three Types of Violent Offenders and Predicting Violent Recidivism While on Probation: A Classification Tree Analysis (2004, background): “Consistent with the prior literature (Gendreau et al., 1996; Hanson & Bussiere, 1998 ), minorities, single offenders, and male offenders were more likely to commit a new violent crime while on probation.”
The efficacy of violence prediction: a meta-analytic comparison of nine risk assessment tools. (2010, background): “In recent years, theoretical developments in risk prediction research have begun to tackle this issue with some success (e.g. Andrews & Bonta, 1998, 2003, 2006; Bonta, Law & Hanson, 1998; Hanson & Bussière, 1998; Hare, 1991, 2003; Monahan & Steadman, 1994).”
A brief review and discussion of sex differences in the specificity of sexual arousal (2005, background): “For example, among identified sex offenders against children, category-specific patterns of genital responses to sexual images of children predict future sexual behaviour with children (Hanson & Bussiere, 1998 ).”
The Risk Principle in Action: What Have We Learned From 13,676 Offenders and 97 Correctional Programs? (2006, methodology): “Although we did not investigate the relationship that this practice has with program effectiveness in the current study, prior research indicates that standardized and actuarial assessments are the best method to use for accurate prediction of offender risk (Bonta, Law, & Hanson, 1998; Grove, Zald, ”
Predicting work-related stress in correctional officers: A meta-analysis. (2004, unknown): “…techniques were used to consolidate the prediction (Bonta, Law, & Hanson, 1998; Dowden & Brown, 2001; Gendreau, Little, & Goggin, 1996; Hanson & Bussiere, 1998) and treatment literatures (Andrews et al., 1990; Dowden & Andrews, 1999, 2000; Izzo & Ross, 1990; Losel, 1995; Whitehead &…”
Risk Assessment With Young Offenders (2009, result): “The relatively short mean follow-up time (28.4 months) for the young offender studies is also noteworthy, especially when compared to the adult literature in which the mean follow-up time in meta-analytic investigations is about 5 years (e.g., Bonta, Law, & Hanson, 1998; Hanson & Bussière, 1998).”
Patterns of criminal achievement in sexual offending: Unravelling the “successful” sex offender (2011, background): “…investigations to the following three criminal activity features: (a) frequency, and to a lesser extent λ; (b) recidivism or the likelihood of being re-arrested again during a determined follow-up period, and; (c) crime specialization (e.g., Hanson & Bussière, 1998; Lussier, 2005; Soothill, 2010).”
Reductions in Risk Based on Time Offense-Free in the Community: Once a Sexual Offender, Not Always a Sexual Offender (2017, background): “Follow-up studies of adult males with a history of sexual crime typically find sexual recidivism rates of between 5% and 15% after 5 years, and between 10% and 25% after 10 years (see reviews by Hanson & Bussière, 1998; Harris & Hanson, 2004; Helmus, Hanson, Thornton, Babchishin, & Harris, 2012).”
Effects of South Carolina’s Sex Offender Registration and Notification Policy on Adult Recidivism (2010, methodology): “In addition, and as expected based on previous research, the presence of minor victims was associated with reduced risk of recidivism (e.g., see Hanson & Bussière, 1998).”