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Items: 1 to 20 of 171

1.

Further investigation of findings reported for the Minnesota sex offender screening tool-revised.

Langton CM, Barbaree HE, Harkins L, Peacock EJ, Arenovich T.

J Interpers Violence. 2008 Oct;23(10):1363-79. doi: 10.1177/0886260508314302.

PMID:
18309040
3.

Long-term predictive validity of the risk matrix 2000: a comparison with the static-99 and the sex offender risk appraisal guide.

Kingston DA, Yates PM, Firestone P, Babchishin K, Bradford JM.

Sex Abuse. 2008 Dec;20(4):466-84. doi: 10.1177/1079063208325206.

PMID:
18840901
4.

Using logistic regression modeling to predict sexual recidivism: the Minnesota Sex Offender Screening Tool-3 (MnSOST-3).

Duwe G, Freske PJ.

Sex Abuse. 2012 Aug;24(4):350-77. doi: 10.1177/1079063211429470.

PMID:
22291047
5.

Hostility and recidivism in sexual offenders.

Firestone P, Nunes KL, Moulden H, Broom I, Bradford JM.

Arch Sex Behav. 2005 Jun;34(3):277-83.

PMID:
15971010
6.

Psychopathy, treatment change, and recidivism in high-risk, high-need sexual offenders.

Looman J, Abracen J, Serin R, Marquis P.

J Interpers Violence. 2005 May;20(5):549-68.

PMID:
15788554
7.

Sex offender management using the polygraph: a critical review.

Meijer EH, Verschuere B, Merckelbach HL, Crombez G.

Int J Law Psychiatry. 2008 Oct-Nov;31(5):423-9. doi: 10.1016/j.ijlp.2008.08.007. Review.

PMID:
18789528
8.

Prospective actuarial risk assessment: a comparison of five risk assessment instruments in different sexual offender subtypes.

Rettenberger M, Matthes A, Boer DP, Eher R.

Int J Offender Ther Comp Criminol. 2010 Apr;54(2):169-86. doi: 10.1177/0306624X08328755.

PMID:
19168639
9.

The factor structure of static actuarial items: its relation to prediction.

Barbaree HE, Langton CM, Peacock EJ.

Sex Abuse. 2006 Apr;18(2):207-26.

PMID:
16937082
10.

[Evaluation of risk assessment instruments for sex offenders].

Stadtland C, Hollweg M, Kleindienst N, Dietl J, Reich U, Nedopil N.

Nervenarzt. 2006 May;77(5):587-95. German.

PMID:
15965760
11.

An examination of the predictive validity of the risk matrix 2000 in England and wales.

Barnett GD, Wakeling HC, Howard PD.

Sex Abuse. 2010 Dec;22(4):443-70. doi: 10.1177/1079063210384274.

PMID:
20930189
12.

Comparison of measures of risk for recidivism in sexual offenders.

Looman J, Abracen J.

J Interpers Violence. 2010 May;25(5):791-807. doi: 10.1177/0886260509336961.

PMID:
19571251
13.

The accuracy of recidivism risk assessments for sexual offenders: a meta-analysis of 118 prediction studies.

Hanson RK, Morton-Bourgon KE.

Psychol Assess. 2009 Mar;21(1):1-21. doi: 10.1037/a0014421.

PMID:
19290762
14.

Predicting the likelihood of future sexual recidivism: pilot study findings from a California sex offender risk project and cross-validation of the Static-99.

Sreenivasan S, Garrick T, Norris R, Cusworth-Walker S, Weinberger LE, Essres G, Turner S, Fain T.

J Am Acad Psychiatry Law. 2007;35(4):454-68.

PMID:
18086738
15.

Comparison of two risk assessment instruments for sexual offenders.

Looman J.

Sex Abuse. 2006 Apr;18(2):193-206.

PMID:
16598660
16.

Toward a multidimensional model for sexual recidivism risk.

Doren DM.

J Interpers Violence. 2004 Aug;19(8):835-56. Review.

PMID:
15231025
17.

Construct validity of the Violence Risk Scale--Sexual Offender Version for measuring sexual deviance.

Canales DD, Olver ME, Wong SC.

Sex Abuse. 2009 Dec;21(4):474-92. doi: 10.1177/1079063209344990.

PMID:
19901240
18.

A multisite comparison of actuarial risk instruments for sex offenders.

Harris GT, Rice ME, Quinsey VL, Lalumière ML, Boer D, Lang C.

Psychol Assess. 2003 Sep;15(3):413-25.

PMID:
14593842
19.

Two-, three-, and four-factor PCL-R models in applied sex offender risk assessments.

Weaver CM, Meyer RG, Van Nort JJ, Tristan L.

Assessment. 2006 Jun;13(2):208-16.

PMID:
16672735
20.

Accuracy of the static-99 in predicting recidivism in Switzerland.

Endrass J, Urbaniok F, Held L, Vetter S, Rossegger A.

Int J Offender Ther Comp Criminol. 2009 Aug;53(4):482-90. doi: 10.1177/0306624X07312952.

PMID:
18268078

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