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Kelly M. Babchishin
Researcher at Carleton University
Publications - 61
Citations - 2900
Kelly M. Babchishin is an academic researcher from Carleton University. The author has contributed to research in topics: Poison control & Recidivism. The author has an hindex of 24, co-authored 55 publications receiving 2430 citations. Previous affiliations of Kelly M. Babchishin include University of Oxford & Public Safety Canada.
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Journal ArticleDOI
Improving the Predictive Accuracy of Static-99 and Static-2002 With Older Sex Offenders: Revised Age Weights
TL;DR: Using data from 8,390 sex offenders derived from 24 separate samples, age was found to add incremental predictive validity to both Static-99 and Static-2002, and the absolute recidivism estimates provided a substantially better fit for older offenders than the recidivist estimates from the original scales.
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Contact Sexual Offending by Men With Online Sexual Offenses
TL;DR: There may be a distinct subgroup of online-only offenders who pose relatively low risk of committing contact sexual offenses in the future, according to the results of two quantitative reviews of the contact sexual offense histories of online offenders.
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The characteristics of online sex offenders: a meta-analysis.
TL;DR: A meta-analysis was conducted to examine the extent to which online and offline offenders differ on demographic and psychological variables and found that online offenders had greater victim empathy, greater sexual deviancy, and lower impression management than offline offenders.
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Online child pornography offenders are different: a meta-analysis of the characteristics of online and offline sex offenders against children.
TL;DR: The findings suggest that offenders who restricted their offending behavior to online child pornography offences were different from mixed offenders and offline sex offenders against children, and that mixed offenders were a particularly high risk group.
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Absolute Recidivism Rates Predicted By Static-99R and Static-2002R Sex Offender Risk Assessment Tools Vary Across Samples: A Meta-Analysis
TL;DR: In this paper, the authors examined absolute and relative risk estimates for certain Static sex offender assessment tools, including Static-99R and Static-2002R, and found that the predicted recidivism rates within each risk score demonstrated large and significant variability across studies.