Hansen sex offender risk assessment tool

Willan publishing. Practice and policy take place within this context, and can be affected by strong public perceptions and media coverage. It is important that practitioners take account of these views as they do affect what local communities will consider to be acceptable levels of risk. You can now work selectively through the section.

Remember, tackle topics on a need to know basis, and distinguish between what you think you know and what you need to learn! Continue to next page: 3. Skip to page content. Sources Andrews, D. Newark, NJ: Anderson Publishing company.

Mann, R. Sexual Abuse and Treatment , April, pp. Beech, A. Chichester: Wiley-Blackwell. See chapters 4, 5 and 10 in particular.

David Thornton - Google Scholar Citations

Fisher, D. In: Kemshall, H. Managing Sex Offender Risk. London: Jessica Kingsley Publishers. Grubin, D. London: Jessica Kinsgley Publishers. Hanson, R. Dynamic predictors of sexual assault recidivism. Criminal Justice and Behaviour , Vol. For a full review, see also: Brown, S. Cullompton: Willan. After completing the worksheet, please view the feedback below. Is the offender operating as part of an internet network? Explore any history of previous allegations not just convictions but also importantly the nature of the allegations.

Explore any history of contact sexual offending. Did the offender attempt to conceal their offending and what lengths did they go to in order to achieve this? The extent of denial: Graf suggests that internet offenders demonstrating extreme denial should be categorised as high risk. Does the offender have immediate or other access to children? What does the offender do in his free time?

Are there any unaccounted for frequent gaps in time? Activity Sexual Offenders - Types and Characteristics Answer these self assessment questions to test your understanding of sexual offenders.

After completing the worksheet, compare your answer to the feedback below. The type of Internet use is important to future risk. Radiology, , 29— A method of comparing the areas under Receiver Operating Characteristic curves derived from the same cases. Radiology, , — Hanson, R. The development of a brief actuarial risk scale for sexual offense recidivism.

User Report Ottawa: Department of the Solicitor General of Canada. Predicting relapse:Ameta-analysis of sexual offender recidivism studies. Journal of Consulting and Clinical Psychology, 66 2 , — Dynamic predictors of sexual recidivism.

Static-99 Timeline

Where should we intervene? Dynamic predictors of sex offense recidivism. Criminal Justice and Behavior. A comparison of child molesters and non-sexual criminals: Risk predictors and long-term recidivism. Journal of Research in Crime and Delinquency, 32 3 , — Long-term follow-up of child molesters: Risk prediction and treatment outcome. User Report No. Long-term recidivism of child molesters.

Supplemental Content

Journal of Consulting and Clinical Psychology, 61, — Unpublished raw data. Hare, R. The Hare Psychopathy Checklist-Revised. Toronto, Ontario: Multi-Health Systems. Hedges, L. Fixed effect models. Hedges Eds. New York: Russell Sage Foundation. Statistical methods for meta-analysis. New York: Academic Press. Hemphill, J. Psychopathy and recidivism: A review. Legal and Criminological Psychology, 3, — Janus, E.

Assessing the legal standard for predictions of dangerousness in sex offender commitment proceedings. Psychology, Public Policy, and Law, 3, 33— McClish, D. Combining and comparing area estimates across studies or strata. Medical Decision Making, 12, — Metz, C. Chicago: University of Chicago Press. Mossman, D. Assessing predictions of violence: Being accurate about accuracy. Journal of Consulting and Clinical Psychology, 62, — Ozer, D. Correlation and the coefficient of determination. Psychological Bulletin, 97, — Pellerin, B. Criminologie, 29, 85— Phenix, A.

Thousand Oaks, CA: Sage. Proulx, J. Static and dynamic predictors of recidivism in sexual offenders. Sexual Abuse, 9, 7— Quinsey, V. Violent offenders: Appraising and managing risk. Actuarial prediction of sexual recidivism. Journal of Interpersonal Violence, 10 1 , 85— Rice, M. Violent recidivism:Assessing predictive validity.


  • 3.4.1 Sexual Offenders: an Overview;
  • Public Testimony.
  • the highest court in texas for criminal cases.
  • Activity 3-3 Feedback.
  • suspect identity a history of fingerprinting and criminal identification.
  • florida state public case records search.
  • the highest court in texas for criminal cases.

Journal of Consulting and Clinical Psychology, 63, — Unpublished data set.