Academic literature on the topic 'Static-2002R'

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Journal articles on the topic "Static-2002R"

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Brouillette-Alarie, Sébastien, Kelly M. Babchishin, R. Karl Hanson, and Leslie-Maaike Helmus. "Latent Constructs of the Static-99R and Static-2002R." Assessment 23, no. 1 (January 22, 2015): 96–111. http://dx.doi.org/10.1177/1073191114568114.

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Hanson, R. Karl, David Thornton, Leslie-Maaike Helmus, and Kelly M. Babchishin. "What Sexual Recidivism Rates Are Associated With Static-99R and Static-2002R Scores?" Sexual Abuse: A Journal of Research and Treatment 28, no. 3 (March 25, 2015): 218–52. http://dx.doi.org/10.1177/1079063215574710.

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Ennis, Liam, Karen Buro, and Sandy Jung. "Identifying Male Sexual Offender Subtypes Using Cluster Analysis and the Static-2002R." Sexual Abuse: A Journal of Research and Treatment 28, no. 5 (March 20, 2014): 403–26. http://dx.doi.org/10.1177/1079063214527481.

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Reeves, Sophie G., James R. P. Ogloff, and Melanie Simmons. "The Predictive Validity of the Static-99, Static-99R, and Static-2002/R: Which One to Use?" Sexual Abuse 30, no. 8 (June 9, 2017): 887–907. http://dx.doi.org/10.1177/1079063217712216.

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The use of Static tools (Static-99, Static-99R, Static-2002, and Static-2002R) in risk decision making involving sexual offenders is widespread internationally. This study compared the predictive accuracy and incremental validity of four Static risk measures in a sample of 621 Australian sexual offenders. Results indicated that approximately 45% of the sample recidivated (with 18.8% committing sexual offenses). All of the Static measures investigated yielded moderate predictive validity for sexual recidivism, which was comparable with other Australian and overseas studies. Area under the curve (AUC) values for the four measures across the 5-, 10-, and 15-year intervals ranged from .67 to .69. All of the Static measures discriminated quite well between low-risk and high-risk sexual offenders but less well for the moderate risk categories. When pitted together, none of the tools accounted for additional variance in sexual recidivism, above and beyond what the other measures accounted for. The overall results provide support for the use of Static measures as a component of risk assessment and decision making with Australian sexual offending populations. The limitations of this study and recommendations for further research are also discussed.
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Brouillette-Alarie, Sébastien, Jean Proulx, and R. Karl Hanson. "Three Central Dimensions of Sexual Recidivism Risk: Understanding the Latent Constructs of Static-99R and Static-2002R." Sexual Abuse 30, no. 6 (February 9, 2017): 676–704. http://dx.doi.org/10.1177/1079063217691965.

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The most commonly used risk assessment tools for predicting sexual violence focus almost exclusively on static, historical factors. Consequently, they are assumed to be unable to directly inform the selection of treatment targets, or evaluate change. However, researchers using latent variable models have identified three dimensions in static actuarial scales for sexual offenders: Sexual Criminality, General Criminality, and a third dimension centered on young age and aggression to strangers. In the current study, we examined the convergent and predictive validity of these dimensions, using psychological features of the offender (e.g., antisocial traits, hypersexuality) and recidivism outcomes. Results indicated that (a) Sexual Criminality was related to dysregulation of sexuality toward atypical objects, without intent to harm; (b) General Criminality was related to antisocial traits; and (c) Youthful Stranger Aggression was related to a clear intent to harm the victim. All three dimensions predicted sexual recidivism, although only General Criminality and Youthful Stranger Aggression predicted nonsexual recidivism. These results indicate that risk tools for sexual violence are multidimensional, and support a shift from an exclusive focus on total scores to consideration of subscales measuring psychologically meaningful constructs.
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Helmus, Leslie, R. Karl Hanson, David Thornton, Kelly M. Babchishin, and Andrew J. R. Harris. "Absolute Recidivism Rates Predicted By Static-99R and Static-2002R Sex Offender Risk Assessment Tools Vary Across Samples." Criminal Justice and Behavior 39, no. 9 (May 21, 2012): 1148–71. http://dx.doi.org/10.1177/0093854812443648.

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Jung, Sandy, Liam Ennis, Chantal A. Hermann, Anna T. Pham, Alberto L. Choy, Gabriela Corabian, and Tarah Hook. "An Evaluation of the Reliability, Construct Validity, and Factor Structure of the Static-2002R." International Journal of Offender Therapy and Comparative Criminology 61, no. 4 (July 28, 2016): 464–87. http://dx.doi.org/10.1177/0306624x15595228.

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Kelley, Sharon M., Gina Ambroziak, David Thornton, and Robert M. Barahal. "How Do Professionals Assess Sexual Recidivism Risk? An Updated Survey of Practices." Sexual Abuse 32, no. 1 (September 23, 2018): 3–29. http://dx.doi.org/10.1177/1079063218800474.

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Forensic evaluators may be assisted by comparing their use of instruments with that of their peers. This article reports the results of a 2017 survey of instrument use by forensic evaluators carrying out sexual recidivism risk assessments. Results are compared with a similar survey carried out in 2013. Analysis focuses primarily on adoption of more recently developed instruments and norms, and on assessment of criminogenic needs and protective factors, and secondarily, on exploring factors related to differences in evaluator practice. Findings indicate that most evaluators have now adopted modern actuarial instruments, with the Static-99R and Static-2002R being the most commonly used. Assessment of criminogenic needs is now common, with the STABLE-2007 being the most frequently used instrument. Evaluators are also increasingly likely to consider protective factors. While a majority of evaluators uses actuarial instruments, a substantial minority employs Structured Professional Judgment (SPJ) instruments. Few factors discriminated patterns of instrument use.
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Helmus, Leslie-Maaike, and David Thornton. "Stability And Predictive And Incremental Accuracy Of The Individual Items Of Static-99r And Static-2002r In Predicting Sexual Recidivism." Criminal Justice and Behavior 42, no. 9 (February 12, 2015): 917–37. http://dx.doi.org/10.1177/0093854814568891.

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Hanson, R. Karl, Kelly M. Babchishin, L. Maaike Helmus, David Thornton, and Amy Phenix. "Communicating the results of criterion referenced prediction measures: Risk categories for the Static-99R and Static-2002R sexual offender risk assessment tools." Psychological Assessment 29, no. 5 (May 2017): 582–97. http://dx.doi.org/10.1037/pas0000371.

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Dissertations / Theses on the topic "Static-2002R"

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Brouillette-Alarie, Sébastien. "L’évaluation du risque de récidive des agresseurs sexuels : vers une approche centrée sur les construits psychologiques." Thèse, 2016. http://hdl.handle.net/1866/18446.

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Cette thèse a été faite sous la tutelle de Jean Proulx et R. Karl Hanson. Elle a évaluée par un jury composé de Franca Cortoni, Jean Proulx, R. Karl Hanson, Jean-Pierre Guay et Howard E. Barbaree. Suite à la soutenance, la thèse a reçu la mention "exceptionnelle", a été recommandée à la liste d'honneur du doyen et a été soumise pour le prix de la meilleure thèse de la FESP 2017.
Les outils actuariels servant à évaluer le risque de récidive criminelle des agresseurs sexuels ont souvent été critiqués pour leurs fondements « athéoriques ». En effet, ces derniers ont été constitués en rassemblant les caractéristiques les plus fortement associées à la récidive, sans qu’une théorie ne les unisse à priori. Si cette méthode a assuré une bonne validité prédictive à ces instruments, elle leur a insufflé très peu de résonnance clinique; plusieurs professionnels n’y voient qu’une liste de corrélats statistiques vides de sens. La présente thèse a entrepris de relativiser ces critiques en appliquant des modèles de facteurs latents aux différents items des outils actuariels. Les modèles de facteurs latents postulent que les comportements manifestes (observables) d’un individu renseignent sur ses caractéristiques psychologiques latentes (non observables) – de la même manière que les symptômes d’une maladie permettent d’inférer sa présence chez un patient. Puisque les items des outils actuariels correspondent à divers comportements ou caractéristiques criminogènes manifestes, il devrait être possible de les rassembler en dimensions pour identifier les principaux construits psychologiques latents associés à la récidive des agresseurs sexuels. Les articles de la présente thèse ont donc proposé d’identifier les dimensions de la Statique-99R et de la Statique-2002R, la famille d’outils actuariels pour agresseurs sexuels la plus utilisée mondialement. Trois dimensions ont été extraites par analyse factorielle : 1) la persistance dans les délits sexuels/paraphilies sexuelles, 2) la délinquance générale et 3) le jeune âge/victimes sexuelles non familières. La première dimension était exclusivement associée à la récidive sexuelle, tandis que les deux dernières étaient associées à tous les types de récidives. Leur validité convergente a ensuite été explorée afin d’évaluer à quelles caractéristiques psychologiques ces dernières référaient. La persistance/paraphilie a convergé avec des indicateurs d’intérêts sexuels déviants non coercitifs, alors que la délinquance générale a convergé avec une constellation de traits antisociaux. Finalement, le jeune âge/victimes sexuelles non familières a convergé avec l’intention claire de blesser ses victimes. Ces résultats ont mené au développement d’un modèle tridimensionnel du risque de récidive des agresseurs sexuels ayant plusieurs implications pratiques pour le domaine. D’une part, les outils actuariels gagneraient à utiliser des scores dimensionnels plutôt que des scores totaux. Par exemple, en retirant la dimension de persistance/paraphilie de la Statique-99R/2002R, il est possible de prédire efficacement la récidive violente non sexuelle et non sexuelle non violente des agresseurs sexuels, ce que l’instrument ne permettait pas précédemment. D’autre part, la connaissance des grandes dimensions de facteurs de risque est susceptible d’aider les évaluateurs à choisir et intégrer plusieurs mesures actuarielles. Cela se révèle particulièrement pertinent lorsque deux mesures du risque divergent, malgré qu’elles aient été conçues pour la même population. Finalement, nos résultats indiquent que les facteurs de risque statiques sont susceptibles de renseigner (imparfaitement) la pratique clinique quant aux besoins criminogènes des agresseurs sexuels. Bien que nous ne suggérions aucunement de substituer cette pratique à la cotation d’outils actuariels de troisième génération, elle pourrait se révéler pertinente pour les établissements n’ayant pas les ressources nécessaires pour coter de tels instruments. Au plan théorique, le modèle tridimensionnel comporte plusieurs avantages par rapport aux modèles à deux dimensions, traditionnellement constitués de la déviance sexuelle et de la délinquance générale/psychopathie (ex. : Doren, 2004). D’une part, les données empiriques supportent clairement la présence de trois dimensions du risque de récidive des agresseurs sexuels, et non deux. D’autre part, la troisième dimension permet d’intégrer une nuance importante au modèle, soit la distinction entre les intérêts sexuels déviants par leur objet de désir (ex. : pédophilie) et les intérêts sexuels déviants par leur aspect coercitif (ex. : sadisme sexuel). Cette distinction est primordiale, dans la mesure où ces intérêts sexuels ne prédisent pas les mêmes types de récidives. Finalement, notre modèle s’intègre au modèle étiologique du risque de Beech et Ward (2004), qui, lorsque complètement validé, pourra donner lieu à des efforts de prévention – une denrée rare dans le domaine.
Actuarial scales for the prediction of sexual violence have been criticised because they are purely based on atheoretical correlates. Therefore, they are unlikely to provide clinical and theoretical insight on the psychological traits and mechanisms that underlie criminal recidivism. However, according to latent variable models commonly used in psychology, patterns of behavior, thought, and emotion are caused by latent psychological constructs, such as extraversion and neuroticism. Because static and stable risk factors in actuarial scales are mostly behavioral, it should be possible to use them to infer the major psychological constructs responsible for recidivism risk. The current thesis applied latent variable models to nonredundant items from the Static-99R and Static-2002R, the two most commonly used risk tools for sexual offenders. Three dimensions were identified: 1) persistence in sexual crimes/paraphilia, 2) general criminality, and 3) youthful stranger aggression. To understand the psychological meaning of these dimensions, convergent and predictive validity analyses were conducted. Results indicated that persistence/paraphilia was related to dysregulation of sexuality towards atypical objects, without intent to harm, while general criminality was related to antisocial traits. Finally, youthful stranger aggression was related to a clear intent to harm victims. All three constructs predicted sexual recidivism with similar accuracy, but only general criminality and youthful stranger aggression predicted nonsexual recidivism. These results suggest that a tridimensional model of sexual offender risk is viable. That model has numerous practical implications. First, actuarial scales should sort items by constructs rather than rely on total scores. Total scores focus the predictive utility of risk scales to the specific outcome for which they were developed (usually sexual recidivism). When constructs are known, it is possible to improve the prediction of other outcomes by removing constructs unrelated to each of these new outcomes (e.g., removing sexual criminality items to improve the prediction of nonsexual recidivism). Second, construct-level approaches facilitate the integration of potentially conflicting risk scales. By understanding the constructs assessed by each scale, an evaluator can deduce which measures should be combined, and which should not. Finally, static risk constructs significantly correlate with psychological features that are found in dynamic risk scales. Consequently, scales composed entirely of static risk factors could – albeit imperfectly – inform the treatment needs of sexual offenders. These results could assist settings lacking the resources to implement dynamic risk tools. The tridimensional model also has theoretical implications. First, our model showed better statistical fit than classical two factor models based on sexual deviance and psychopathy (e.g., Doren, 2004), suggesting that there are more than two substantive dimensions related to sexual offender recidivism risk. Second, the presence of a third factor enabled an important distinction between noncoercive (e.g., fixated pedophilia) and coercive (e.g., sexual sadism) deviant sexual interests. Such a distinction is particularly relevant in the field of risk assessment, because they do not predict the same types of recidivism. Finally, our model can be integrated in Beech and Ward’s (2004) etiological model of risk, which, once fully validated, could enable primary and secondary prevention efforts.
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Books on the topic "Static-2002R"

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Helmus, Leslie. Assessing the risk of older sex offenders: Developing the Static-99R and Static-2002R. Ottawa: Public Safety Canada, 2011.

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Book chapters on the topic "Static-2002R"

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Phenix, Amy, and Douglas L. Epperson. "Overview of the Development, Reliability, Validity, Scoring, and Uses of the Static-99, Static-99R, Static-2002, and Static-2002R." In Sexual Offending, 437–55. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2416-5_19.

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