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Articles

Dynamic risk and sexual offending: the conundrum of assessment

Pages 104-123 | Received 25 Sep 2015, Accepted 17 Oct 2015, Published online: 23 Dec 2015

References

  • Allan, A., Dawson, D., & Allan, M. M. (2006). Prediction of the risk of male sexual reoffending in Australia. Australian Psychologist, 41, 60–68. doi:10.1080/00050060500391886
  • Andrews, D. A., & Bonta, J. (2010). The psychology of criminal conduct (5th ed.). New Providence, NJ: LexisNexis.
  • Andrews, D. A., Bonta, J., & Wormith, S. J. (2006). The recent past and near future of risk and/or need assessment. Crime & Delinquency, 52, 7–27. doi:10.1177/0011128705281756
  • Beckett, R. C. (1987). The children and sex questionnaire. Unpublished manuscript.
  • Beckett, R. C., & Fisher, D. (1994). Assessing victim empathy: A new measure. Paper presented at the 13th Annual Conference of ATSA (the Association for the Treatment of Sexual Abusers). San Francisco, CA.
  • Beech, A. R. (1998). A psychometric typology of child abusers. International Journal of Offender Therapy and Comparative Criminology, 42, 319–339. doi:10.1177/0306624X9804200405
  • Beech, A. R., & Craig, L. A. (2012). The current status of static and dynamic factors in sexual offender risk assessment. Journal of Aggression, Conflict and Peace Research, 4(4), 169–185. doi:10.1108/17596591211270671
  • Beech, A. R., & Fisher, D. D. (2004). Treatment of sexual offenders in prison and probation settings. In H. Kemshall & G. McIvor (Eds.), Research highlights in social work: Sex offenders: Managing the risk (pp. 137–164). London: Jessica Kingsley.
  • Beech, A. R., & Ford, H. (2006). The relationship between risk, deviance, treatment outcome and sexual reconviction in a sample of child sexual abusers completing residential treatment for their offending. Psychology, Crime & Law, 12, 685–701.
  • Beech, A. R., Friendship, C., Erikson, M., & Hanson, R. K. (2002). The relationship between static and dynamic risk factors and reconviction in a sample of UK child abusers. Sexual Abuse: A Journal of Research and Treatment, 14, 155–167. doi:10.1177/107906320201400206
  • Beech, A. R., & Ward, T. (2004). The integration of etiology and risk in sexual offenders: A theoretical framework. Aggression and Violent Behavior, 10, 31–63. doi:10.1016/j.avb.2003.08.002
  • Boer, D. P., Wilson, R. J., Gauthier, C. M., & Hart, S. D. (1997). Manual for the Sexual Violence Risk-20. Vancouver, BC: The Mental Health, Law and Policy Institute and the Simon Fraser University.
  • Bonta, J. (1996). Risk-needs assessment and treatment. In A. T. Harland (Ed.), Choosing correctional options that work (pp. 18–32). Thousand Oaks, CA: Sage.
  • Bumby, K. M. (1996). Assessing the cognitive distortions of child molesters and rapists: Development and validation of the MOLEST and RAPE scales. Sexual Abuse: A Journal of Research and Treatment, 8, 37–54. doi:10.1177/107906329600800105
  • Campbell, M., French, S., & Gendreau, P. (2009). The prediction of violence in adult offenders: A meta-analytic comparison of instruments and methods of assessment. Criminal Justice and Behavior, 36, 567–590. doi:10.1177/0093854809333610
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
  • Cooke, D., & Michie, C. (2010). Limitations of diagnostic precision and predictive utility in the individual case: A challenge for forensic practice. Law and Human Behavior, 34, 259–274. doi:10.1007/s10979-009-9176-x
  • Cooke, D., & Michie, C. (2011). Violence risk assessment: Challenging the illusion of certainty. In B. McSherry & P. Keyzer (Eds.), Dangerous people: Policy, prediction, and practice (pp. 147–161). New York, NY: Routledge.
  • Craig, L. A., & Beech, A. R. (2010). Towards a guide to best practice in conducting actuarial risk assessments with sex offenders. Aggression and Violent Behavior, 15, 278–293. doi:10.1016/j.avb.2010.01.007
  • Craig, L. A., Beech, A. R., & Browne, K. D. (2006). Cross validation of the Risk Matrix 2000 sexual and violent scales. Journal of Interpersonal Violence, 21, 612–633. doi:10.1177/0886260506286876
  • Craig, L. A., Browne, K. D., & Stringer, I. (2003). Risk scales and factors predictive of sexual offence recidivism. Trauma, Violence, & Abuse, 4, 45–68. doi:10.1177/1524838002238945
  • Craig, L. A., Browne, K. D., Stringer, I., & Beech, A. (2005). Sexual recidivism: A review of static, dynamic and actuarial predictors. Journal of Sexual Aggression, 11, 65–84. doi:10.1080/13552600410001667733
  • Craig, L. A., Browne, K. D., Stringer, I., & Hogue, T. E. (2008). Sexual reconviction rates in the United Kingdom and actuarial risk estimates. Child Abuse & Neglect, 32, 121–138. doi:10.1016/j.chiabu.2007.09.002
  • Craig, L. A., Thornton, D., Beech, A., & Browne, K. D. (2007). The relationship of statistical and psychological risk markers to sexual reconviction in child molesters. Criminal Justice and Behavior, 34, 314–329. doi:10.1177/0093854806291416
  • Craissati, J., Bierer, K., & South, R. (2011). Risk, reconviction and “sexually risky behavior” in sex offenders. Journal of Sexual Aggression, 17, 153–165. doi:10.1080/13552600.2010.490306
  • Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multiple dimensional approach. Journal of Personality and Social Psychology, 44, 113–126. doi:10.1037/0022-3514.44.1.113
  • Dawes, R. M., Faust, D., & Meehl, P. E. (1989). Clinical versus actuarial judgment. Science, 243, 1668–1674. doi:10.1126/science.2648573
  • Douglas, K. S., & Skeem, J. L. (2005). Violence risk assessment: Getting specific about being dynamic. Psychology, Public Policy, and Law, 11, 347–383. doi:10.1037/1076-8971.11.3.347
  • Ducro, C., & Pham, T. (2006). Evaluation of the SORAG and the Static-99 in Belgian sex offenders committed to a forensic facility. Sexual Abuse: A Journal of Research and Treatment, 18, 15–26. doi:10.1177/107906320601800102
  • Epperson, D. L., Kaul, J. D., & Hesselton, D. (1998). Minnesota sex offender screening tool-revised (MnSOST-R) technical paper: Development, validation, and recommended risk level cut scores. Retrieved from https://rsoresearch.files.wordpress.com/2012/01/ia-state-study.pdf
  • Farkas, M. A., & Stichman, A. (2002). Sex offender laws: Can treatment, punishment, incapacitation, and public safety to be reconciled? Criminal Justice Review, 27, 256–283. doi:10.1177/073401680202700204
  • Fisher, D., Beech, A., & Browne, K. (1999). Comparison of sex offenders to non-sex offenders on selected psychological measures. International Journal of Offender Therapy and Comparative Criminology, 43, 473–491. doi:10.1177/0306624X99434006
  • Hanson, R. K. (1997). The development of a brief actuarial risk scale for sexual offense recidivism. (User Report No. 1997–04). Ottawa: Department of the Solicitor General of Canada. Retrieved from http://www.defenseforsvp.com/Resources/Hanson_Static-99/RRASOR.pdf
  • Hanson, R. K., & Bussière, M. T. (1998). Predicting relapse: A meta-analysis of sexual offender recidivism studies. Journal of Consulting and Clinical Psychology, 66, 348–362. doi:10.1037/0022-006X.66.2.348
  • Hanson, R. K., & Harris, A. J. R. (2001). A structured approach to evaluating change in sexual offenders. Sexual Abuse: A Journal of Research and Treatment, 13, 105–122. doi:10.1177/107906320101300204
  • Hanson, R. K., Harris, A. J. R., Scott, T. L., & Helmus, L. (2007). Assessing the risk of sexual offenders on community supervision: The Dynamic Supervision Project (Corrections Research User Report No. 2007–05). Ottawa, ON: Public Safety Canada. Retrieved from http://www.publicsafety.gc.ca/cnt/rsrcs/pblctns/ssssng-rsk-sxl-ffndrs/ssssng-rsk-sxl-ffndrs-eng.pdf
  • Hanson, R. K., Morton-Bourgon, G., Helmus, L., & Hodgson, S. (2009). The principles of effective correctional treatment also apply to sexual offenders: A meta-analysis. Criminal Justice and Behavior, 36, 865–891. doi:10.1177/0093854809338545
  • Hanson, R. K., & Morton-Bourgon, K. E. (2004). Predictors of sexual recidivism: An updated meta-analysis (Corrections User Report No. 2004–02). Ottawa, ON: Public Safety Canada. Retrieved from http://www.static99.org/pdfdocs/hansonandmortonbourgon2004.pdf
  • Hanson, R. K., & Morton-Bourgon, K. E. (2005). The characteristics of persistent sexual offenders: A meta-analysis of recidivism studies. Journal of Consulting and Clinical Psychology, 73, 1154–1163. doi:10.1037/0022-006X.73.6.1154
  • Hanson, R. K., & Morton-Bourgon, K. E. (2009). The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. Psychological Assessment, 21, 1–21. doi:10.1037/a0014421
  • Hanson, R. K., & Thornton, D. (1999). Static 99: Improving actuarial risk assessments for sex offenders (User Report 99-02). Ottawa, ON: Department of the Solicitor General of Canada. Retrieved from http://www.static99.org/pdfdocs/static-99-coding-rules_e.pdf
  • Hanson, R. K., & Thornton, D. (2000). Improving risk assessment for sex offenders: A comparison of three actuarial scales. Law and Human Behavior, 24(1), 119–136. doi:10.1023/A:1005482921333
  • Harris, A. J., & Socia, K. M. (2014). What's in a name? Evaluating the effects of the “Sex Offender” label on public opinions and beliefs. Sexual Abuse: A Journal of Research and Treatment . Advance online publication retrieved from http://sax.sagepub.com.ezproxy-b.deakin.edu.au/content/early/2014/12/24/1079063214564391.full.pdf+html doi:10.1177/1079063214564391
  • Harris, A. J. R., & Hanson, R. K. (2010). Clinical, actuarial and dynamic risk assessment of sexual offenders: Why do things keep changing? Journal of Sexual Aggression, 16, 296–310. doi:10.1080/13552600.2010.494772
  • Harris, G. T., Rice, M. E., Quinsey, V. L., Lalumiere, M. L., Boer, D., & Lang, C. (2003). A multisite comparison of actuarial risk instruments for sex offenders. Psychological Assessment, 15, 413–425. doi:10.1037/1040-3590.15.3.413
  • Hart, S. D., Michie, C., & Cooke, D. J. (2007). Precision of actuarial risk assessment instruments: Evaluating the ‘margins of error’ of group v. individual predictions of violence. The British Journal of Psychiatry, 190, s60–s65. doi:10.1192/bjp.190.5.s60
  • Helmus, L., Hanson, R. K., Babchishin, K. M., & Thornton, D. (2015). Sex offender risk assessment with the Risk Matrix 2000: Validation and guidelines for combining with the STABLE-2007. Journal of Sexual Aggression, 21, 136–157. doi:10.1080/13552600.2013.870241
  • Helmus, L., Thornton, D., Hanson, R. K., & Babchishin, K. M. (2012). Improving the predictive accuracy of Static-99 and Static-2002 with older sex offenders: Revised age weights. Sexual Abuse: A Journal of Research and Treatment, 24, 64–101. doi:10.1177/1079063211409951
  • Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). New York, NY: John Wiley & Sons.
  • Jacobson, N. S., Roberts, L. J., Berns, S. B., & McGlinchey, J. B. (1999). Methods for determining the clinical significance of treatment effects: Description, application and alternatives. Journal of Consulting and Clinical Psychology, 67, 300–307. doi: 10.1037/0022-006X.67.3.300
  • Keltner, A. A., Marshall, P. G., & Marshall, W. L. (1981). Measurement and correlation of assertiveness and social fear in a prison population. Corrective and Social Psychiatry, 27, 41–47.
  • Kingston, D. A., Yates, P. M., Firestone, P., Babchishin, K., & Bradford, J. (2008). Long term predictive validity of the Risk Matrix 2000: A comparison with the Static-99 and the Sex offender risk appraisal guide. Sexual Abuse: A Journal of Research and Treatment, 20, 466–484. doi:10.1177/1079063208325206
  • Langton, C. M. (2003). Contrasting approaches to risk assessment with adult male sexual offenders: An evaluation of recidivism prediction schemes and the utility of supplementary clinical information for enhancing predictive accuracy. Dissertation Abstracts International, 64(04), 1907B. (UMI No. NQ78052).
  • Mandeville-Norden, R., Beech, A., & Hayes, E. (2008). Examining the effectiveness of a UK community-based sexual offender treatment programme for child abusers. Psychology, Crime & Law, 14(6), 493–512.
  • Mann, R. E., Hanson, R. K., & Thornton, D. (2010). Assessing risk for sexual recidivism: Some proposals on the nature of psychologically meaningful risk factors. Sexual Abuse: A Journal of Research and Treatment, 22(2), 191–217. doi:10.1177/1079063210366039
  • McGrath, R. J., & Cumming, G. F. (2001, 2003). The sex offender treatment needs and progress scale–version 2001, 2003. Middlebury, VT: Author.
  • McGrath, R. J., Cumming, G. F., Burchard, B. L., Zeoli, S., & Ellerby, L. (2010). Current practices and emerging trends in sexual abuser management: The safer society 2009 North American survey. Brandon, VT: Safer Society Press. Retrieved from http://www.safersociety.org/uploads/WP141-Current_Practices_Emerging_Trends.pdf
  • McGrath, R. J., Lasher, M. J., & Cumming, P. F. (2011). The sex offender treatment intervention and progress (SOTIP) scale: Psychometric properties and incremental validity with the Static 99. Sexual Abuse: A Journal of Research and Treatment, 24, 431–458. doi:10.1177/1079063211432475
  • Mossman, D. (1994). Assessing predictions of violence: Being accurate about accuracy. Journal of Consulting and Clinical Psychology, 62, 783–792. doi:10.1037/0022-006X.62.4.783
  • Mossman, D. (2006). Another look at interpreting risk categories. Sexual Abuse: A Journal of Research and Treatment, 18, 41–63. doi:10.1177/107906320601800104
  • Mossman, D. (2013). Evaluating risk assessments using receiver operating characteristic (ROC) analysis: Rationale, advantages, insights, and limitations. Behavioral Sciences and the Law, 31, 23–39. doi:10.1002/bsl.2050
  • Mossman, D. (2015). From group data to useful probabilities: The relevance of actuarial risk assessment in individual instances. The Journal of the American Academy of Psychiatry and the Law, 43, 93–102. Retrieved from http://www.jaapl.org/content/43/1/93.full.pdf
  • Nowicki, S. (1976). Adult Nowicki-Strickland Internal-External locus of control scale. Test manual. Department of Psychology, Emory University, Atlanta, GA.
  • Nowicki, S., & Duke, M. P. (1983). The Nowicki-Strickland life-span locus of control scales: Construct validation. In H. M. Lefcourt (Ed.), Research with the locus of control construct: Vol. 2. Developments and social problems (pp. 9–49). New York, NY: Academic Press.
  • Nunes, K. L., Babchishin, K. M., & Cortoni, F. (2011). Measuring treatment change in sex offenders: Clinical and statistical significance. Criminal Justice and Behaviour, 38(2), 157–173. doi:10.1177/0093854810391054
  • Olver, M. E., Beggs Christofferson, S. M., Grace, R. C., & Wong, S. C. P. (2014). Incorporating change information into sexual offender risk assessments using the violence risk scale-sexual offender version. Sexual Abuse: A Journal of Research and Treatment, 26, 472–499. doi:10.1177/1079063213502679
  • Olver, M. E., Kingston, D. A., Nicholaichuk, T., & Wong, S. C. P. (2014). A psychometric examination of treatment change in a multisite sample of treated Canadian federal sexual offenders. Law and Human Behavior, 38, 544–559. doi:10.1037/lhb0000086
  • Olver, M. E., & Wong, S. C. P. (2011). A comparison of static and dynamic assessment of sexual offender risk and need in a treatment context. Criminal Justice and Behavior, 38, 113–126. doi:10.1177/0093854810389534
  • Olver, M. E., Wong, S. C. P., Nicholaichuk, T., & Gordon, A. (2007). The validity and reliability of the violence risk scale-sexual offender version: Assessing sex offender risk and evaluating therapeutic change. Psychological Assessment, 19, 318–329. doi:10.1037/1040-3590.19.3.318
  • Peacock, E. J. (2000). Sex offender acceptance of responsibility scales. Warkworth, ON: Warkworth Institution, Correctional Service of Canada.
  • Phenix, A., Helmus, L., & Hanson, R. K. (2012). Static-99R & Static-2002R: Evaluators' handbook. Retrieved from http://www.static99.org/
  • Prentky, R. A., Knight, R. A., Lee, A. F., & Cerce, D. D. (1995). Predictive validity of lifestyle impulsivity for rapists. Criminal Justice and Behavior, 22, 106–128. doi:10.1177/0093854895022002002
  • Proulx, J., Perreault, C., & Ouimet, M. (1999). Pathways in the offending process of extrafamilial sexual child molesters. Sexual Abuse: A Journal of Research and Treatment, 11, 117–129. doi:1079-0632/99/0400-011
  • Quinsey, V. L., Harris, G. T., Rice, M. E., & Cormier, C. A. (1998). Violent offenders: Appraising and managing risk. Washington, DC: American Psychology Association.
  • Quinsey, V. L., Khanna, A., & Malcolm, P. B. (1998). A retrospective evaluation of the regional treatment centre sex offender treatment program. Journal of Interpersonal Violence, 13, 621–644. doi:10.1177/088626098013005005
  • Rice, M. E., & Harris, G. T. (2005). Comparing effect sizes in follow-up studies: ROC area, Cohen's d, and r. Law and Human Behavior, 29, 615–620. doi:10.1007/s10979-005-6832-7
  • Rossegger, A., Gerth, J., Seewald, K., Urbaniok, F., Singh, J. P., & Endrass, J. (2013). Current obstacles in replicating risk assessment findings: A systematic review of commonly used actuarial instruments. Behavioral Sciences and the Law, 31, 154–164. doi:10.1002/bsl.2044
  • Russell, D., Peplau, L. A., & Cutrona, C. A. (1980). The revised UCLA loneliness scale: Concurrent and discriminant validity evidence. Journal of Personality and Social Psychology, 39, 472–480. doi:10.1037/0022-3514.39.3.472
  • Singh, J. (2013). Predictive validity performance indicators in violence risk assessment: A methodological primer. Behavioral Sciences & The Law, 31, 8–22. doi:10.1002/bsl.2052
  • Singh, J. P., Grann, M., & Fazel, S. (2011). A comparative study of violence risk assessment tools: A systematic review and meta-regression analysis of 68 studies involving 25,980 participants. Clinical Psychology Review, 31, 499–513. doi:10.1016/j.cpr.2010.11.009
  • Skelton, A., Riley, D., Wales, D., & Vess, J. (2006). Assessing risk for sexual offenders in New Zealand: Development and validation of a computer-scored risk measure. Journal of Sexual Aggression, 12, 277–286. doi:10.1080/13552600601100326
  • Swets, J. A. (1988). Measuring the accuracy of diagnostic systems. Science, 240, 1285–1293. doi:10.1126/science.3287615
  • Swets, J. A., Dawes, R. M., & Monahan, J. (2000). Psychological science can improve diagnostic decisions. Psychological Science in the Public Interest, 1, 1–26. doi:10.1111/1529-1006.001
  • Taxman, F. S., Caudy, M. S., & Pattavina, A. (2013). Risk-need-responsivity (RNR): Leading towards another generation of the model. In F. S. Taxman & A. Pattavina (Eds.), Simulation strategies to reduce recidivism: Risk need responsivity (RNR) modeling in the criminal justice system (pp. 285–307). New York, NY: Springer.
  • Thornton, D. (1989). Self-Esteem scale. Unpublished manuscript (Available from David Thornton, P.O. Box 700, Sand Ridge Secure Treatment Center, 1111 North Road, Mauston, Wisconsin 53948).
  • Thornton, D. (2002). Constructing and testing a framework for dynamic risk assessment. Sexual Abuse: A Journal of Research and Treatment, 14, 139–153. doi:10.1177/107906320201400205
  • Thornton, D., Mann, R., Webster, S., Blud, L., Travers, R., Friendship, C., & Erikson, M. (2003). Distinguishing and combining risks for sexual and violent recidivism. Annals of the New York Academy of Sciences, 989, 225–235. doi:10.1111/j.1749-6632.2003.tb07308.x
  • Tully, R. J., Browne, K. D., & Craig, L. A. (2015). An examination of the predictive validity of the Structured Assessment of Risk and Need-Treatment Needs Analysis (SARN-TA) in England and Wales. Criminal Justice and Behavior, 42, 509–528. doi:10.1177/0093854814553096
  • Tully, R. J., Chou, S., & Browne, K. D. (2013). A systematic review on the effectiveness of sex offender risk assessment tools in predicting sexual recidivism of adult male sex offenders. Clinical Psychology Review, 33, 287–316. doi:10.1016/j.cpr.2012.12.002
  • Wakeling, H., Beech, A. R., Freemantle, N. (2013). Investigating treatment change and its relationship to recidivism in a sample of 3773 sex offenders in the UK. Psychology, Crime & Law, 19, 233–252.
  • Wakeling, H., Freemantle, N., Beech, A. R., & Elliott, I. A. (2011). Identifying predictors of recidivism in a large sample of United Kingdom sexual offenders: A prognostic model. Psychological Services, 8, 307–318. doi:10.1037/a0025516
  • Ward, T. (2015). Dynamic risk factors: Scientific kinds or predictive constructs. Psychology, Crime & Law, 22(1–2), 2–16.
  • Ward, T., & Beech, A. R. (2015). Dynamic risk factors: a theoretical dead-end? Psychology, Crime & Law, 21(2), 100–113.
  • Wong, S., Olver, M. E., Nicholaichuk, T. P., & Gordon, A. (2003). The violence risk scale: Sexual offender version (VRS-SO). Saskatchewan: Regional Psychiatric Centre and University of Saskatchewan, Saskatoon.

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