A systematic review on the effectiveness of sex offender risk assessment tools in predicting sexual recidivism of adult male sex offenders

*Abbott, 2011, Throwing the baby out with the bath water: Is it time for clinical judgment to supplement actuarial risk assessment?, The Journal of the American Academy of Psychiatry and the Law, 39, 222 *Adam, 2006, Psychological classifications of sex offenders: A critical approach, Deviance et Societe, 30, 233 Allan, 2002 **Allan, 2006, Prediction of the risk of male sexual reoffending in Australia, Australian Psychologist, 41, 60, 10.1080/00050060500391886 *Amenta, 2003, Sex offender risk assessment: A cautionary note regarding measures attempting to quantify violence risk, Journal of Forensic Psychology Practice, 3, 39, 10.1300/J158v03n01_04 *Anderson, 2010, Static-99: An actuarial tool to assess risk of sexual and violent recidivism among sexual offenders, 251 Andrews, 2010 Andrews, 2006, The recent past and near future of risk and/or need assessment, Crime and Delinquency, 52, 7, 10.1177/0011128705281756 **Bani-Yaghoub, 2010, A time series modeling approach in risk appraisal of violent and sexual recidivism, Law and Human Behavior, 34, 349, 10.1007/s10979-009-9183-y **Barbaree, 2008, Predicting recidivism in sex offenders using the SVR-20: The contribution of age-at-release, The International Journal of Forensic Mental Health, 7, 47, 10.1080/14999013.2008.9914403 *Barbaree, 2006, The factor structure of static actuarial items: Its relation to prediction, Sexual Abuse: Journal of Research and Treatment, 18, 207, 10.1177/107906320601800207 *Barbaree, 2006, Different actuarial risk measures produce different risk rankings for sexual offenders, Sexual Abuse: Journal of Research & Treatment, 18, 423, 10.1177/107906320601800408 **Barbaree, 2001, Evaluating the predictive accuracy of six risk assessment instruments for adult sex offenders, Criminal Justice and Behavior, 28, 490, 10.1177/009385480102800406 Barbaree, 1996, Sex offender characteristics, response to treatment, and correctional release decisions at the Warkworth Sexual Behaviour Clinic **Barnett, 2010, An examination of the predictive validity of the Risk Matrix 2000 in England and Wales, Sexual Abuse: Journal of Research and Treatment, 22, 443, 10.1177/1079063210384274 **Bartosh, 2003, Differences in the predictive validity of actuarial risk assessments in relation to sex offender type, International Journal of Offender Therapy and Comparative Criminology, 47, 422, 10.1177/0306624X03253850 *Bates, 2004, A follow-up study of sex offenders treated by Thames Valley Sex Offender Groupwork Programme, 1995–1999, Journal of Sexual Aggression, 10, 29, 10.1080/13552600410001667724 **Beauregard, 2009, Testing the predictive utility of the STATIC-99: A Bayes analysis, Legal and Criminological Psychology, 14, 187, 10.1348/135532508X330994 *Beech, 2003, Risk assessment of sex offenders, Professional Psychology: Research and Practice, 34, 339, 10.1037/0735-7028.34.4.339 *Beech, 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, 10.1080/10683160600558493 **Beech, 2002, The relationship between static and dynamic risk factors and reconviction in a sample of U.K. child abusers, Sexual Abuse: Journal of Research & Treatment, 14, 155, 10.1177/107906320201400206 **Beggs, 2010, Assessment of dynamic risk factors: An independent validation study of the violence risk scale: Sexual offender version, Sexual Abuse: Journal of Research and Treatment, 22, 234, 10.1177/1079063210369014 **Bengtson, 2008, Is newer better? A cross-validation of the Static-2002 and the Risk Matrix 2000 in a Danish sample of sexual offenders, Psychology, Crime & Law, 14, 85, 10.1080/10683160701483104 **Bengtson, 2007, Unguided clinical and actuarial assessment of re-offending risk: A direct comparison with sex offenders in Denmark, Sexual Abuse: Journal of Research and Treatment, 19, 135, 10.1177/107906320701900205 **Blacker, 2011, The assessment of dynamic risk and recidivism in a sample of special needs sexual offenders, Psychology, Crime & Law, 17, 75, 10.1080/10683160903392376 **Boccaccini, 2009, Field validity of the STATIC-99 and MnSOST-R among sex offenders evaluated for civil commitment as sexually violent predators, Psychology, Public Policy, and Law, 15, 278, 10.1037/a0017232 Boer, 1997 Boer, 2004, Assessment of risk and manageability of intellectually disabled sex offenders, Journal of Applied Research in Intellectual Disabilities, 17, 275, 10.1111/j.1468-3148.2004.00214.x *Bramsen, 2011, The development and psychometric assessment of the adolescent sexual coercion risk scale, Journal of Interpersonal Violence, 26, 1524, 10.1177/0886260510370598 *Broadhurst, 2003, The probabilities of sex offender re-arrest, Criminal Behaviour and Mental Health, 13, 121, 10.1002/cbm.535 *Caldwell, 2007, Sexual offense adjudication and sexual recidivism among juvenile offenders, Sexual Abuse: Journal of Research & Treatment, 19, 107, 10.1177/107906320701900203 *Camasso, 1995, Prediction accuracy of the Washington and Illinois risk assessment instruments: An application of receiver operating characteristic curve analysis, Social Work Research, 19, 174 *Camilleri, 2011, Appraising the risk of sexual and violent recidivism among intellectually disabled offenders, Psychology, Crime & Law, 17, 59, 10.1080/10683160903392350 *Canales, 2009, Construct validity of the Violence Risk Scale-Sexual Offender version for measuring sexual deviance, Sexual Abuse: Journal of Research and Treatment, 21, 474, 10.1177/1079063209344990 *Chu, 2010, Adolescent sexual offenders: The relationship between typology and recidivism, Sexual Abuse: Journal of Research & Treatment, 22, 218, 10.1177/1079063210369011 *Clounch, 2009, Sex offender assessment: Clinical utility and predictive validity, Dissertation Abstracts International: Section B: The Sciences and Engineering, 69, 5016 Cohen, 1969 *Craig, 2006, Cross-validation of the Risk Matrix 2000 sexual and violent scales, Journal of Interpersonal Violence, 21, 612, 10.1177/0886260506286876 Craig, 2007, Methodological considerations when estimating actuarial sexual recidivism risk, Forensic Update, 91, 32 *Craig, 2009, The predictive accuracy of risk factors and frameworks, 53 Craig, 2004, New directions in assessing risk for sexual offenders, p81 *Craig, 2004, Comparing sex offender risk assessment measures on a UK sample, International Journal of Offender Therapy and Comparative Criminology, 48, 7, 10.1177/0306624X03257243 Craig, 2004, Comparing sex offender risk assessment measures on a UK sample, International Journal of Offender and Comparative Criminology, 48, 7, 10.1177/0306624X03257243 *Craig, 2005, Sexual recidivism: A review of static, dynamic and actuarial predictors, Journal of Sexual Aggression, 11, 65, 10.1080/13552600410001667733 *Craig, 2008, Sexual reconviction rates in the United Kingdom and actuarial risk estimates, Child Abuse & Neglect, 32, 121, 10.1016/j.chiabu.2007.09.002 **Craig, 2007, The relationship of statistical and psychological risk markers to sexual re-conviction, Criminal Justice and Behavior, 34, 314, 10.1177/0093854806291416 **Craissati, 2011, Risk, reconviction and “sexually risky behaviour” in sex offenders, Journal of Sexual Aggression, 17, 153, 10.1080/13552600.2010.490306 *Craissati, 2002, Risk, reconviction rates and pro-offending attitudes for child molesters in a complete geographical area of London, Journal of Sexual Aggression, 8, 22, 10.1080/13552600208413330 Critical Skills Appraisal Programme, 2004 Critical Skills Appraisal Programme, 2006 **de Vogel, 2004, Predictive validity of the SVR-20 and Static-99 in a Dutch sample of treated sex offenders, Law and Human Behavior, 28, 235, 10.1023/B:LAHU.0000029137.41974.eb *Dietiker, 2007, Risk assessment of sex offenders in a German-speaking sample. Applicability of PCL-SV, HCR-20+3, and SVR-20, Der Nervenarzt, 78, 53 *Donaldson, 2011, Prediction in the individual case: An explanation and application of its use with the Static-99R in sexually violent predator risk assessments, American Journal of Forensic Psychology, 29, 5 *Donaldson, 2008, A mathematical proof and example that Bayes's Theorem is fundamental to actuarial estimates of sexual recidivism risk, Sexual Abuse: Journal of Research & Treatment, 20, 206, 10.1177/1079063208317734 *Doren, 2004, Stability of the interpretative risk percentages for the RRASOR and Static-99, Sexual Abuse: Journal of Research and Treatment, 16, 25, 10.1177/107906320401600102 *Ducro, 2006, Evaluation of the SORAG and the Static-99 on Belgian sex offenders committed to a forensic facility, Sexual Abuse: Journal of Research and Treatment, 18, 15, 10.1177/107906320601800102 *Echeburua, 2011, Forensic psychological assessment versus clinical assessment: Proposals and challenges for the future, International Journal of Clinical and Health Psychology, 11, 141 *Eher, 2009, Actuarial prognoses of sex offenders Results from a study involving 785 offenders with an emphasis on relevant offender groups and recidivism categories, Monatsschrift Fur Kriminologie Und Strafrechtsreform, 92, 18 *Eher, 2008, Validity or benefit? The prediction of relapses with Static-99 and SORAG. A prospective study with 275 sex offenders, Recht & Psychiatrie, 26, 79 *Elkovitch, 2008, Research report: Assessing risk of reoffending in adolescents who have committed a sexual offense: The accuracy of clinical judgments after completion of risk assessment instruments, Behavioral Sciences & the Law, 26, 511, 10.1002/bsl.832 *Endrass, 2009, Examination of the predictive validity of the Static-99 in a sample of assessed sex offenders, Schweizer Archiv für Neurologie und Psychiatrie, 160, 284 *Endrass, 2009, Accuracy of the Static-99 in predicting recidivism in Switzerland, International Journal of Offender Therapy and Comparative Criminology, 53, 482, 10.1177/0306624X07312952 Epperson, 1995, Predicting risk of recidivism for incarcerated sex offenders Epperson, 1998 *Falshaw, 2003, Assessing reconviction, reoffending and recidivism in a sample of UK sexual offenders, Legal and Criminological Psychology, 8, 207, 10.1348/135532503322362979 *Ferguson, 1998, An investigation into the validity of the Registrant Risk Assessment Scale as a legal tool and clinical instrument, Dissertation Abstracts International: Section B: The Sciences and Engineering, 58, 5184 *Ferguson, 1998, New Jersey's sex offender risk assessment scale: Preliminary validity data, Journal of Psychiatry & Law, 26, 327, 10.1177/009318539802600303 Fleiss, 1981 Fleiss, 1986 *Forbes, 2008, Race differences in scores of actuarial measures of sex offender risk assessment, Dissertation Abstracts International: Section B: The Sciences and Engineering, 68, 8395 **Friendship, 2003, Evaluation of a national prison-based treatment programme for sexual offenders in England and Wales, Journal of Interpersonal Violence, 18, 744, 10.1177/0886260503253236 *Furr, 1993, Prediction of sexual or violent recidivism among sexual offenders: A comparison of prediction instruments, Annals of Sex Research, 6, 271, 10.1177/107906329300600403 *Gentry, 2005, Comparing sex offender risk classification using the Static-99 and LSI-R assessment instruments, Research on Social Work Practice, 15, 557, 10.1177/1049731505275869 *Gerdes, 1995, Assessing juvenile sex offenders to determine adequate levels of supervision, Child Abuse & Neglect, 19, 953, 10.1016/0145-2134(95)00057-F *Girard, 2000, The Level of Service Inventory — Ontario Revision: Risk/need assessment and recidivism, Dissertation Abstracts International: Section B: The Sciences and Engineering, 61, 587 *Girard, 2004, The predictive validity of the Level of Service Inventory — Ontario Revision on general and violent recidivism among various offender groups, Criminal Justice and Behavior, 31, 150, 10.1177/0093854803261335 *Goncalves, 2005, Assessing risk for sexual violence, Psicologia: Teoria, Investigacao e Pratica, 10, 65 *Gore, 2008, Adjusted actuarial assessment of sex offenders: The impact of clinical overrides on predictive accuracy, Dissertation Abstracts International: Section B: The Sciences and Engineering, 68, 4824 *Greenberg, 2002, Prediction of recidivism in exhibitionists: Psychological, phallometric, and offense factors, Sexual Abuse: Journal of Research & Treatment, 14, 329, 10.1177/107906320201400404 Grove, 1996, Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction: The clinical–statistical controversy, Psychology, Public Policy, and Law, 2, 293, 10.1037/1076-8971.2.2.293 *Grubin, 1999, Actuarial and clinical assessment of risk in sex offenders, Journal of Interpersonal Violence, 14, 331, 10.1177/088626099014003007 Grubin, 2011, A large-scale evaluation of Risk Matrix 2000 in Scotland, Sexual Abuse: A Journal of Research and Treatment, 23, 419, 10.1177/1079063211411309 *Haag, 2006, Do psychological interventions impact on actuarial measures: An analysis of the predictive validity of the Static-99 and Static-2002 on a re-conviction measure of sexual recidivism, Dissertation Abstracts International: Section B: The Sciences and Engineering, 66, 4531 *Hagan, 2010, Five-year accuracy of assessments of high risk for sexual recidivism of adolescents, International Journal of Offender Therapy and Comparative Criminology, 54, 61, 10.1177/0306624X08325348 **Hanlon, 1999, The Minnesota SOST and sexual reoffending in North Dakota: A retrospective study, International Journal of Offender Therapy and Comparative Criminology, 43, 71, 10.1177/0306624X99431007 Hanson, 1997 **Hanson, 2006, Does Static-99 predict recidivism among older sexual offenders?, Sexual Abuse: Journal of Research and Treatment, 18, 343, 10.1177/107906320601800403 Hanson, 1998, Predicting relapse: A meta-analysis of sexual offender recidivism studies, Journal of Consulting and Clinical Psychology, 66, 348, 10.1037/0022-006X.66.2.348 *Hanson, 2000, Where should we intervene? Dynamic predictors of sexual offence recidivism, Criminal Justice and Behavior, 27, 6, 10.1177/0093854800027001002 Hanson, 2000 **Hanson, 2001, A structured approach to evaluating change among sexual offenders, Sexual Abuse: Journal of Research and Treatment, 13, 105, 10.1177/107906320101300204 **Hanson, 2010, Predicting recidivism amongst sexual offenders: A multi-site study of Static-2002, Law and Human Behavior, 34, 198, 10.1007/s10979-009-9180-1 Hanson, 2004 Hanson, 2007 Hanson, 2009, The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies, Psychological Assessment, 21, 1, 10.1037/a0014421 Hanson, 1995, A comparison of child molesters and non-sexual criminals: Risk predictors and long-term recidivism, Journal of Research in Crime and Delinquency, 32, 325, 10.1177/0022427895032003004 **Hanson, 2000, Improving risk assessments for sex offenders: A comparison of three actuarial scales, Law and Human Behavior, 24, 119, 10.1023/A:1005482921333 Hanson, 2003 *Hare, 2000, Psychopathy and the predictive validity of the PCL-R: An international perspective, Behavioral Sciences & the Law, 18, 623, 10.1002/1099-0798(200010)18:5<623::AID-BSL409>3.0.CO;2-W Harris, A., Phenix, A., Hanson, R. K., & Thornton, D. (2003). Static-99 Coding Rules Revised-2003. Unpublished manuscript. Retrieved from http://www.static-99.org. *Harris, 2003, Actuarial assessment of risk among sex offenders, Annals of the New York Academy of Sciences, 989, 198, 10.1111/j.1749-6632.2003.tb07306.x *Harris, 2007, Adjusting actuarial violence risk assessments based on ageing or the passage of time, Criminal Justice and Behavior, 34, 297, 10.1177/0093854806293486 *Harris, 2004, Applying a forensic actuarial assessment (the Violence Risk Appraisal Guide) to nonforensic patients, Journal of Interpersonal Violence, 19, 1063, 10.1177/0886260504268004 *Harris, 2003, A multisite comparison of actuarial risk instruments for sex offenders, Psychological Assessment, 15, 413, 10.1037/1040-3590.15.3.413 Hart, 2003 Helmus, L., Babchishin, K. M., Hanson, R. K., & Thornton, D. (2009). Static-99R: Revised age weights (2009–10–05). Unpublished manuscript. Retrieved from http://www.static-99.org. **Helmus, 2007, Predictive validity of the Static-99 and Static-2002 for sex offenders on community supervision, Sexual Offender Treatment, 2, 1 Helmus, 2012, Improving the predictive accuracy of Static-99 and Static-2002 with older sex offenders: Revised age weights, Sexual Abuse: Journal of Research and Treatment, 24, 64, 10.1177/1079063211409951 *Hildebrand, 2004, Psychopathy and sexual deviance in treated rapists: Association with sexual and nonsexual recidivism, Sexual Abuse: Journal of Research & Treatment, 16, 1, 10.1177/107906320401600101 *Hiscox, 2007, Juvenile Risk Assessment Scale (JRAS): A predictive validity study, Journal of Psychiatry & Law, 35, 503, 10.1177/009318530703500406 *Hood, 2002, Sex offenders emerging from long-term imprisonment: A study of their long-term reconviction rates and of parole board members' judgments of thir risk, British Journal of Criminology, 42, 371, 10.1093/bjc/42.2.371 *Howes, 2009, Measurement of risk of sexual violence through phallometric testing, Legal Medicine, 11, S368 **Hudson, 2002, Dynamic risk factors: The Kia Marama evaluation, Sexual Abuse: A Journal of Research and Treatment, 14, 103, 10.1177/107906320201400203 Hunter, 2004 *Jackson, 2004, The adequacy and accuracy of sexually violent predator evaluations: Contextualized risk assessment in clinical practice, The International Journal of Forensic Mental Health, 3, 115, 10.1080/14999013.2004.10471201 *Janus, 2003, Forensic use of actuarial risk assessment with sex offenders: Accuracy, admissibility and accountability, American Criminal Law Review, 40, 1443 *Johansen, 2007, Accuracy of predictions of sexual offense recidivism: A comparison of actuarial and clinical methods, Dissertation Abstracts International: Section B: The Sciences and Engineering, 68, 1929 *Johnson, 2003, Assessing risks and needs of sex offenders in community-based treatment programs: Differentiating among sex offenders by STATIC-99 risk factors using the BASIS-A, Dissertation Abstracts International: Section B: The Sciences and Engineering, 64, 2923 **Kingston, 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: Journal of Research and Treatment, 20, 466, 10.1177/1079063208325206 **Langstrom, 2004, Accuracy of actuarial procedures for assessment of sexual offender recidivism risk may vary across ethnicity, Sexual Abuse: Journal of Research and Treatment, 16, 107, 10.1177/107906320401600202 **Langton, 2007, Reliability and validity of the Static-2002 among adult sexual offenders with reference to treatment status, Criminal Justice and Behavior, 34, 616, 10.1177/0093854806296851 **Langton, 2008, Further investigation of findings reported for the Minnesota Sex Offender Screening Tool-Revised, Journal of Interpersonal Violence, 23, 1363, 10.1177/0886260508314302 **Langton, 2007, Actuarial assessment of risk for reoffense among adult sex offenders: Evaluating the predictive accuracy of the Static-2002 and five other instruments, Criminal Justice and Behavior, 34, 37, 10.1177/0093854806291157 *Lessin, 1997, Predicting recidivism among sex offenders: A long-term survival analysis utilizing the Minnesota Multiphasic Personality Inventory and demographic variables, Dissertation Abstracts International: Section B: The Sciences and Engineering, 57 *Lindsay, 2008, Risk assessment in offenders with intellectual disability: A comparison across three levels of security, International Journal of Offender Therapy and Comparative Criminology, 52, 90, 10.1177/0306624X07308111 **Looman, 2006, Comparison of two risk assessment instruments for sexual offenders, Sexual Abuse: Journal of Research and Treatment, 18, 193, 10.1177/107906320601800206 **Looman, 2010, Comparison of measures of risk for recidivism in sexual offenders, Journal of Interpersonal Violence, 25, 791, 10.1177/0886260509336961 **Looman, 2011, Substance abuse among high-risk sexual offenders: Do measures of lifetime history of substance abuse add to the prediction of recidivism over actuarial risk assessment instruments?, Journal of Interpersonal Violence, 26, 683, 10.1177/0886260510365871 Losel, 2005, The effectiveness of treatment for sexual offenders: A comprehensive meta-analysis, Journal of Experimental Criminology, 1, 117, 10.1007/s11292-004-6466-7 *MacPherson, 2003, Predicting escalation in sexually violent recidivism: Use of the SVR-20 and PCL: SV to predict outcome with non-contact recidivists and contact recidivists, Journal of Forensic Psychiatry and Psychology, 14, 615, 10.1080/14789940310001615470 *Mann, 2010, Assessing risk for sexual recidivism: some proposals on the nature of psychologically meaningful risk factors. [Review], Sexual Abuse: Journal of Research & Treatment, 22, 191, 10.1177/1079063210366039 *Martinez, 2007, Validity of the Juvenile Sex Offender Assessment Protocol-II (J-SOAP-II) in a sample of urban minority youth, Criminal Justice and Behavior, 34, 1284, 10.1177/0093854807301791 *McGrath, 2007, A structured method of assessing dynamic risk factors among sexual abusers with intellectual disabilities, American Journal on Mental Retardation, 112, 221, 10.1352/0895-8017(2007)112[221:ASMOAD]2.0.CO;2 *Mills, 1997, The Criminal Sentiments Scale: Predictive validity in a sample of violent and sex offenders, Journal of Clinical Psychology, 53, 399, 10.1002/(SICI)1097-4679(199706)53:4<399::AID-JCLP13>3.0.CO;2-B *Min-Chieh, 2005, The establishment of a Taiwan Sex Offender Static Risk Assessment Scale (TSOSRAS-2004): A validity study by various samples, Asian Journal of Domestic Violence and Sexual Offense, 1, 49 Moher, 2009, Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement, Journal of Clinical Epidemiology, 62, 1006, 10.1016/j.jclinepi.2009.06.005 *Mossman, 2006, Another look at interpreting risk categories, Sexual Abuse: Journal of Research & Treatment, 18, 41, 10.1177/107906320601800104 Mossman, 2008, Analysing the performance of risk assessment instruments: A response to Vrieze and Grove (2007), Law and Human Behavior, 32, 279, 10.1007/s10979-007-9123-7 *Murrie, 2011, Field validity of the Psychopathy Checklist-Revised in sex offender risk assessment, Psychological Assessment *Nic Daeid, 1998, Statistical analysis of sexual offenders — A preliminary study, Forensic Science International, 91, 153, 10.1016/S0379-0738(97)00189-8 *Nunes, 2002, A comparison of modified versions of the Static-99 and the Sex Offender Risk Appraisal Guide, Sexual Abuse: Journal of Research and Treatment, 14, 253, 10.1177/107906320201400305 **Olver, 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, 10.1037/1040-3590.19.3.318 *Osborn, 2010, The use of actuarial risk assessment measures with UK internet child pornography offenders, Journal of Aggression, Conflict and Peace Research, 2, 16, 10.5042/jacpr.2010.0333 *Parent, 2011, An assessment of long-term risk of recidivism by adult sex offenders: One size doesn't fit all, Criminal Justice and Behavior, 38, 188, 10.1177/0093854810388238 *Pham, 2008, Risk assessment in social defence: Preliminary factorial analysis of the SORAG “Sex Offender Recidivism Appraisal Guide” (SORAG) and the Static-99, Annales Médico-Psychologiques, 166, 575 Prentky, 2000, An actuarial procedure for assessing risk with juvenile sex offenders, Sexual Abuse: A Journal of Research and Treatment, 12, 71, 10.1177/107906320001200201 *Prentky, 1997, Risk factors associated with recidivism among extrafamilial child molesters, Journal of Consulting and Clinical Psychology, 65, 141, 10.1037/0022-006X.65.1.141 *Prentky, 2007, Effect of age-at-release on long term sexual re-offense rates in civilly committed sexual offenders, Sexual Abuse: Journal of Research & Treatment, 19, 43, 10.1177/107906320701900105 *Prentky, 2009, Predicting risk of sexual recidivism in juveniles: Predictive validity of the J-SOAP-II, 265 *Proeve, 2009, A minimal scale for assessment of multiple offending risk in sexual offenders against children, Sexual Abuse in Australia and New Zealand, 1, 97 Quinsey, 2006 *Quinsey, 1995, Actuarial prediction of sexual recidivism, Journal of Interpersonal Violence, 10, 85, 10.1177/088626095010001006 *Ralston, 2008, Validation of the Juvenile Sexual Offense Recidivism Risk Assessment Tool-II, Dissertation Abstracts International: Section B: The Sciences and Engineering, 69, 3315 *Ramirez, 2008, Recidivism risk assessment in sex offenders, Psicothema, 20, 205 **Ramirez, 2009, Assessing risk of recidivism in sex offenders, Psychology in Spain, 13, 55 *Rettenberger, 2011, The predictive accuracy of risk factors in the Sexual Violence Risk-20 (SVR-20), Criminal Justice and Behavior, 38, 1009, 10.1177/0093854811416908 **Rettenberger, 2006, Actuarial assessment of sex offender recidivism risk: A validation of the German version of the Static-99, Sexual Offender Treatment, 1, 1 **Rettenberger, 2007, Predicting reoffense in sexual offender subtypes: A prospective validation study of the German version of the Sexual Offender Risk Appraisal Guide (SORAG), Sexual Offender Treatment, 2, 1 *Rettenberger, 2010, Prospective actuarial risk assessment: A comparison of five risk assessment instruments in different sexual offender subtypes, International Journal of Offender Therapy and Comparative Criminology, 54, 169, 10.1177/0306624X08328755 *Rettenberger, 2011, The validity of dynamic and changeable risk factors for the prediction of sexual recidivism in a sample of pedosexual offenders: A study of Stable-2000 and Stable-2007, Forensische Psychiatrie, Psychologie, Kriminologie, 5, 45 *Rice, 1997, Cross-validation and extension of the Violence Risk Appraisal Guide for child molesters and rapists, Law and Human Behavior, 21, 231, 10.1023/A:1024882430242 Rice, 2005, Comparing effects sizes in follow-up studies: ROC area, Cohen's d, and r, Law and Human Behavior, 29, 615, 10.1007/s10979-005-6832-7 *Righthand, 2005, Factor structure and validation of the Juvenile Sex Offender Assessment Protocol (J-SOAP), Sexual Abuse: Journal of Research and Treatment, 17, 13, 10.1177/107906320501700103 Rogers, 2000, The uncritical acceptance of risk assessment in forensic practice, Law and Human Behavior, 24, 595, 10.1023/A:1005575113507 *Rossegger, 2010, The Sex Offender Risk Appraisal Guide (SORAG) — Validity and authorised German translation, Fortschritte der Neurologie-Psychiatrie, 78, 658, 10.1055/s-0029-1245688 *Rossegger, 2011, Risk assessment instruments in repeat offending: The usefulness of FOTRES, International Journal of Offender Therapy and Comparative Criminology, 55, 716, 10.1177/0306624X09360662 *Rossegger, 2009, The Violence Risk Appraisal Guide (VRAG) — A tool for the risk assessment of violent offenders: Review and authorized German translation, Fortschritte der Neurologie-Psychiatrie, 77, 577 *Sandler, 2011, The Static-99 and additional research-based risk factors: A statistical theory to improve sex offender risk assessment, Dissertation Abstracts International: Section B: The Sciences and Engineering, 72, 1207 *Saum, 2007, A comparison of an actuarial risk prediction measure (Static-99) and a stable dynamic risk prediction measure (Stable-2000) in making risk predictions for a group of sexual offenders, Dissertation Abstracts International: Section B: The Sciences and Engineering, 68, 1943 *Schofield, 2000, Sex offender recidivism: An evaluation of the State of Nevada Community Notification Sex Offender Assessment Scale, Dissertation Abstracts International: Section B: The Sciences and Engineering, 60, 5790 *Schwalbe, 2007, Predictive validity of the Joint Risk Matrix With Juvenile Offenders. A focus on gender and race/ethnicity, Criminal Justice and Behavior, 34, 348, 10.1177/0093854806292244 *Seto, 2005, Is more better? Combining actuarial risk scales to predict recidivism among adult sex offenders, Psychological Assessment, 17, 156, 10.1037/1040-3590.17.2.156 **Sjostedt, 2001, Actuarial assessment of sex offender recidivism risk: A cross-validation of the RRASOR and the Static-99 in Sweden, Law and Human Behavior, 25, 629, 10.1023/A:1012758307983 *Sjostedt, 2002, Assessment of risk for criminal recidivism among rapists: A comparison of four different measures, Psychology, Crime & Law, 8, 25, 10.1080/10683160208401807 *Skelton, 2006, Assessing risk for sexual offenders in New Zealand: Development and validation of a computer-scored risk measure, Journal of Sexual Aggression, 12, 277, 10.1080/13552600601100326 *Smallbone, 2008, Criterion and predictive validity of the Static-99 for adult males convicted of sexual offences against children, Sexual Abuse in Australia and New Zealand, 1, 28 *Sreenivasan, 2007, Predicting the likelihood of future sexual recidivism: Pilot study findings from a California sex offender risk project and cross-validation of the Static-99, The Journal of the American Academy of Psychiatry and the Law, 35, 454 *Sreenivasan, 2010, Alice in actuarial-land: Through the looking glass of changing Static-99 norms, The Journal of the American Academy of Psychiatry and the Law, 38, 400 **Stadtland, 2005, Risk assessment and prediction of violent and sexual recidivism in sex offenders: Long-term predictive validity of four risk assessment instruments, Journal of Forensic Psychiatry & Psychology, 16, 92, 10.1080/1478994042000270247 *Stadtland, 2006, Evaluation of risk assessment instruments for sex offenders, Der Nervenarzt, 77, 587 *Stalans, 2010, Comparing nonviolent, other-violent, and domestic batterer sex offenders: Predictive accuracy of risk assessments on sexual recidivism, Criminal Justice and Behavior, 37, 613, 10.1177/0093854810363794 Thornton, 1997, Structured Anchored Clinical Judgement risk assessment (SACJ) **Thornton, 2002, Constructing and testing a framework for dynamic risk assessment, Sexual Abuse: A Journal of Research and Treatment, 14, 139, 10.1177/107906320201400205 Thornton, 2007 **Thornton, 2003, Distinguishing and combining risks for sexual and violent recidivism. [Validation studies], Annals of the New York Academy of Sciences, 989, 225, 10.1111/j.1749-6632.2003.tb07308.x Thornton, 2003, Distinguishing and combining risks for sexual and violent recidivism, Vol. 989, 225 *Urbaniok, 2007, Violent and sexual offences: A validation of the predictive quality of the PCL:SV in Switzerland, International Journal of Law and Psychiatry, 30, 147, 10.1016/j.ijlp.2006.04.001 *Urbaniok, 2006, Prediction of violent and sexual offences: A replication study of the VRAG in Switzerland, Journal of Forensic Psychiatry & Psychology, 17, 23, 10.1080/02699200500297799 *Urbaniok, 2007, The predictive quality of the Psychopathy Checklist-Revised (PCL-R) for violent and sex offenders in Switzerland: A validation study, Fortschritte der Neurologie-Psychiatrie, 75, 155 *Urbaniok, 2007, The predictive quality of the Psychopathy Checklist-Revised (PCL-R) for violent and sex offenders in Switzerland: A validation study, Fortschritte der Neurologie-Psychiatrie, 75, 155 *Viljoen, 2009, Assessment of reoffense risk in adolescents who have committed sexual offenses: Predictive validity of the ERASOR, PCL:YV, YLS/CMI, and Static-99, Criminal Justice and Behavior, 36, 981, 10.1177/0093854809340991 *Viljoen, 2008, Assessing risk for violence in adolescents who have sexually offended: A comparison of the J-SOAP-II, J-SORRAT-II, and SAVRY, Criminal Justice and Behavior, 35, 5, 10.1177/0093854807307521 *Vrieze, 2008, Predicting sex offender recidivism. I. Correcting for item overselection and accuracy overestimation in scale development. II. Sampling error-induced attenuation of predictive validity over base rate information, Law and Human Behavior, 32, 266, 10.1007/s10979-007-9092-x **Wakeling, 2011, Comparing the validity of the RM2000 scales and OGRS3 for predicting recidivism by Internet sexual offenders, Sexual Abuse: Journal of Research and Treatment, 23, 146, 10.1177/1079063210375974 *Walters, 2009, The latent structure of sexual violence risk: A taxometric analysis of widely used sex offender actuarial risk measures, Criminal Justice and Behavior, 36, 290, 10.1177/0093854808330341 *Watson, 2007, Risk assessment of child-victim sex offenders for extended supervision in New Zealand, Journal of Forensic Psychiatry and Psychology, 18, 235, 10.1080/14789940601116267 *Webb, 2007, Characteristics of Internet child pornography offenders: A comparison with child molestors, Sexual Abuse: A Journal of Research and Treatment, 19, 449, 10.1177/107906320701900408 **Wilcox, 2009, Actuarial risk assessment and recidivism in a sample of UK intellectually disabled sexual offenders, Journal of Sexual Aggression, 15, 97, 10.1080/13552600802578577 *Witte, 2006, An investigation of the validity and reliability of the Criminal Sentiments Scale in a sample of treated sex offenders, Sexual Abuse: Journal of Research and Treatment, 18, 249, 10.1177/107906320601800303 *Wollert, 2010, Recent research (N=9305) underscores the importance of using age-stratified actuarial tables in sex offender risk assessments, Sexual Abuse: Journal of Research & Treatment, 22, 471, 10.1177/1079063210384633 Wong, 2000 *Worling, 2004, The Estimate of Risk of Adolescent Sexual Offense Recidivism (ERASOR): Preliminary psychometric data, Sexual Abuse: Journal of Research and Treatment, 16, 235, 10.1177/107906320401600305 *Zagar, 2009, Can violent (re)offense be predicted? Review of the role of the clinician and use of actuarial tests in light of new data, Psychological Reports, 104, 247, 10.2466/PR0.104.1.247-277