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Journal Abstract Search

210 related items for PubMed ID: 25179400

  • 1. Cross-Validation of the JSORRAT-II in Iowa.
    Ralston CA, Epperson DL, Edwards SR.
    Sex Abuse; 2016 Sep; 28(6):534-54. PubMed ID: 25179400
    [Abstract] [Full Text] [Related]

  • 2. Development and Validation of the Juvenile Sexual Offense Recidivism Risk Assessment Tool-II.
    Epperson DL, Ralston CA.
    Sex Abuse; 2015 Dec; 27(6):529-58. PubMed ID: 24492618
    [Abstract] [Full Text] [Related]

  • 3. The Impact of Using Documented but Uncharged Offense Data on JSORRAT-II Predictive Validity.
    Ralston CA, Sarkar A, Philipp GT, Epperson DL.
    Sex Abuse; 2017 Mar; 29(2):186-202. PubMed ID: 25896905
    [Abstract] [Full Text] [Related]

  • 4. Predicting sexual and nonsexual recidivism in a consecutive sample of juveniles convicted of sexual offences.
    Aebi M, Plattner B, Steinhausen HC, Bessler C.
    Sex Abuse; 2011 Dec; 23(4):456-73. PubMed ID: 21406605
    [Abstract] [Full Text] [Related]

  • 5. Validity of Risk Assessment Instruments Among Juveniles Who Sexually Offended: Victim Age Matters.
    Krause C, Roth A, Landolt MA, Bessler C, Aebi M.
    Sex Abuse; 2021 Jun; 33(4):379-405. PubMed ID: 32172652
    [Abstract] [Full Text] [Related]

  • 6. Risk and protective factors for recidivism among juveniles who have offended sexually.
    Spice A, Viljoen JL, Latzman NE, Scalora MJ, Ullman D.
    Sex Abuse; 2013 Aug; 25(4):347-69. PubMed ID: 23033066
    [Abstract] [Full Text] [Related]

  • 7. Predictive validity of adult risk assessment tools with juveniles who offended sexually.
    Ralston CA, Epperson DL.
    Psychol Assess; 2013 Sep; 25(3):905-16. PubMed ID: 23647039
    [Abstract] [Full Text] [Related]

  • 8. Long-Term Predictive Validity of the Juvenile Sex Offender Assessment Protocol-II: Research and Practice Implications.
    Schwartz-Mette RA, Righthand S, Hecker J, Dore G, Huff R.
    Sex Abuse; 2020 Aug; 32(5):499-520. PubMed ID: 30714853
    [Abstract] [Full Text] [Related]

  • 9. Testing the validity of criminal risk assessment tools in sexually abusive youth.
    Barra S, Bessler C, Landolt MA, Aebi M.
    Psychol Assess; 2018 Nov; 30(11):1430-1443. PubMed ID: 29792506
    [Abstract] [Full Text] [Related]

  • 10. Juvenile sex offender re-arrest rates for sexual, violent nonsexual and property crimes: a 10-year follow-up.
    Waite D, Keller A, McGarvey EL, Wieckowski E, Pinkerton R, Brown GL.
    Sex Abuse; 2005 Jul; 17(3):313-31. PubMed ID: 16121841
    [Abstract] [Full Text] [Related]

  • 11. Sexual offense adjudication and sexual recidivism among juvenile offenders.
    Caldwell MF.
    Sex Abuse; 2007 Jun; 19(2):107-13. PubMed ID: 17530405
    [Abstract] [Full Text] [Related]

  • 12. Differences in the prevalence and impact of risk factors for general recidivism between different types of juveniles who have committed sexual offenses (JSOs) and juveniles who have committed nonsexual offenses (NSOs).
    van der Put CE, van Vugt ES, Stams GJ, Deković M, van der Laan PH.
    Sex Abuse; 2013 Feb; 25(1):41-68. PubMed ID: 22786727
    [Abstract] [Full Text] [Related]

  • 13. Recidivism rates for registered and nonregistered juvenile sexual offenders.
    Letourneau EJ, Armstrong KS.
    Sex Abuse; 2008 Dec; 20(4):393-408. PubMed ID: 18948430
    [Abstract] [Full Text] [Related]

  • 14. Comparing Predictive Validity of JSORRAT-II and MEGA♪ With Sexually Abusive Youth in Long-Term Residential Custody.
    Rasmussen LAL.
    Int J Offender Ther Comp Criminol; 2018 Aug; 62(10):2937-2953. PubMed ID: 28863722
    [Abstract] [Full Text] [Related]

  • 15. The Influence of Age and Sexual Drive on the Predictive Validity of the Juvenile Sex Offender Assessment Protocol-Revised.
    Wijetunga C, Martinez R, Rosenfeld B, Cruise K.
    Int J Offender Ther Comp Criminol; 2018 Jan; 62(1):150-169. PubMed ID: 27255236
    [Abstract] [Full Text] [Related]

  • 16. The Relation of Familiarity With Sexual Abusers to Subsequent Developmental Adaptation in Youths Who Have Sexually Offended.
    Berman AK, Knight RA.
    Sex Abuse; 2015 Dec; 27(6):587-608. PubMed ID: 25053106
    [Abstract] [Full Text] [Related]

  • 17. Five-year accuracy of assessments of high risk for sexual recidivism of adolescents.
    Hagan MP, Anderson DL, Caldwell MS, Kemper TS.
    Int J Offender Ther Comp Criminol; 2010 Feb; 54(1):61-70. PubMed ID: 18957553
    [Abstract] [Full Text] [Related]

  • 18. A prospective investigation of factors that predict desistance from recidivism for adolescents who have sexually offended.
    Worling JR, Langton CM.
    Sex Abuse; 2015 Feb; 27(1):127-42. PubMed ID: 25201880
    [Abstract] [Full Text] [Related]

  • 19. Assessing protective factors of youth who sexually offended in singapore: preliminary evidence on the utility of the DASH-13 and the SAPROF.
    Zeng G, Chu CM, Lee Y.
    Sex Abuse; 2015 Feb; 27(1):91-108. PubMed ID: 25527632
    [Abstract] [Full Text] [Related]

  • 20. Prediction of adolescent sexual reoffending: a meta-analysis of the J-SOAP-II, ERASOR, J-SORRAT-II, and Static-99.
    Viljoen JL, Mordell S, Beneteau JL.
    Law Hum Behav; 2012 Oct; 36(5):423-38. PubMed ID: 22353046
    [Abstract] [Full Text] [Related]

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