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• W1978448787 abstract "The appraisal of risk among sex offenders has seen recent advances through the advent of actuarial assessments. Statistics derived from Relative Operating Characteristics (ROCs) permit the comparison of predictive accuracies achieved by different instruments even among samples that exhibit different base rates of recidivism. Such statistics cannot, however, solve problems introduced when items from actuarial tools are omitted, when reliability is low, or when there is high between-subject variability in the duration of the follow-up. We present empirical evidence suggesting that when comprehensive actuarial tools (VRAG and SORAG) are scored with high reliability, without missing items, and when samples of offenders have fixed and equal opportunity for recidivism, predictive accuracies are maximized near ROC areas of 0.90. Although the term dynamic has not been consistently defined, such accuracies leave little room for further improvement in long-term prediction by dynamic risk factors. We address the mistaken idea that long-term, static risk levels have little relevance for clinical intervention with sex offenders. We conclude that highly accurate prediction of violent criminal recidivism can be achieved by means of highly reliable and thorough scoring of comprehensive multi-item actuarial tools using historical items (at least until potent therapies are identified). The role of current moods, attitudes, insights, and physiological states in causing contemporaneous behavior notwithstanding, accurate prediction about which sex offenders will commit at least one subsequent violent offense can be accomplished using complete information about past conduct." @default.
• W1978448787 created "2016-06-24" @default.
• W1978448787 creator A5004507432 @default.
• W1978448787 creator A5048905208 @default.
• W1978448787 date "2003-06-01" @default.
• W1978448787 modified "2023-10-09" @default.
• W1978448787 title "Actuarial Assessment of Risk among Sex Offenders" @default.
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• W1978448787 doi "https://doi.org/10.1111/j.1749-6632.2003.tb07306.x" @default.
• W1978448787 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/12839899" @default.
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