Different actuarial risk measures produce different risk rankings for sexual offenders
dc.contributor.author | Langton, Calvin M. | |
dc.date.accessioned | 2017-09-06T12:39:41Z | |
dc.date.available | 2017-09-06T12:39:41Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Barbaree, H. E., Langton, C. M. & Peacock, E. J. (2006). Different actuarial risk measures produce different risk rankings for sexual offenders. Sexual Abuse, 18 (4), pp.423-440. | |
dc.identifier.other | 10.1177/107906320601800408 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12904/5155 | |
dc.description.abstract | Percentile ranks were computed for N = 262 sex offenders using each of 5 actuarial risk instruments commonly used with adult sex offenders (RRASOR, Static-99, VRAG, SORAG, and MnSOST-R). Mean differences between percentile ranks obtained by different actuarial measures were found to vary inversely with the correlation between the actuarial scores. Following studies of factor analyses of actuarial items, we argue that the discrepancies among actuarial instruments can be substantially accounted for by the way in which the factor Antisocial Behavior and various factors reflecting sexual deviance are represented among the items contained in each instrument. In the discussion, we provide guidance to clinicians in resolving discrepancies between instruments and we discuss implications for future developments in sex offender risk assessment. (PsycINFO Database Record (c) 2016 APA, all rights reserved)(journal abstract) | |
dc.description.uri | http://link.springer.com/article/10.1007/s11194-006-9029-9 | |
dc.subject | Sex offenses | |
dc.subject | Criminals | |
dc.subject | Behaviour | |
dc.title | Different actuarial risk measures produce different risk rankings for sexual offenders | |
dc.type | Article | |
html.description.abstract | Percentile ranks were computed for N = 262 sex offenders using each of 5 actuarial risk instruments commonly used with adult sex offenders (RRASOR, Static-99, VRAG, SORAG, and MnSOST-R). Mean differences between percentile ranks obtained by different actuarial measures were found to vary inversely with the correlation between the actuarial scores. Following studies of factor analyses of actuarial items, we argue that the discrepancies among actuarial instruments can be substantially accounted for by the way in which the factor Antisocial Behavior and various factors reflecting sexual deviance are represented among the items contained in each instrument. In the discussion, we provide guidance to clinicians in resolving discrepancies between instruments and we discuss implications for future developments in sex offender risk assessment. (PsycINFO Database Record (c) 2016 APA, all rights reserved)(journal abstract) |