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Kelly Babchishin
Kelly Babchishin
Carleton University
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Title
Cited by
Cited by
Year
Improving the predictive accuracy of Static-99 and Static-2002 with older sex offenders: Revised age weights
L Helmus, D Thornton, RK Hanson, KM Babchishin
Sexual Abuse 24 (1), 64-101, 2012
5412012
The characteristics of online sex offenders: A meta-analysis
KM Babchishin, R Karl Hanson, CA Hermann
Sexual Abuse 23 (1), 92-123, 2011
4462011
Online child pornography offenders are different: A meta-analysis of the characteristics of online and offline sex offenders against children
KM Babchishin, RK Hanson, H VanZuylen
Archives of sexual behavior 44, 45-66, 2015
4322015
Contact sexual offending by men with online sexual offenses
MC Seto, R Karl Hanson, KM Babchishin
Sexual Abuse 23 (1), 124-145, 2011
4262011
Absolute recidivism rates predicted by Static-99R and Static-2002R sex offender risk assessment tools vary across samples: A meta-analysis
L Helmus, RK Hanson, D Thornton, KM Babchishin, AJR Harris
Criminal justice and behavior 39 (9), 1148-1171, 2012
3332012
The proportion of sexual offenders who are female is higher than thought: A meta-analysis
F Cortoni, KM Babchishin, C Rat
Criminal Justice and Behavior 44 (2), 145-162, 2017
2512017
Attitudes supportive of sexual offending predict recidivism: A meta-analysis
L Helmus, RK Hanson, KM Babchishin, RE Mann
Trauma, Violence, & Abuse 14 (1), 34-53, 2013
2332013
The puzzle of intrafamilial child sexual abuse: A meta-analysis comparing intrafamilial and extrafamilial offenders with child victims
MC Seto, KM Babchishin, LE Pullman, IV McPhail
Clinical psychology review 39, 42-57, 2015
1892015
Online solicitation offenders are different from child pornography offenders and lower risk contact sexual offenders.
MC Seto, JM Wood, KM Babchishin, S Flynn
Law and Human Behavior 36 (4), 320, 2012
1762012
Primer on risk assessment and the statistics used to evaluate its accuracy
LM Helmus, KM Babchishin
Criminal Justice and Behavior 44 (1), 8-25, 2017
1662017
Communicating the results of criterion referenced prediction measures: Risk categories for the Static-99R and Static-2002R sexual offender risk assessment tools.
RK Hanson, KM Babchishin, LM Helmus, D Thornton, A Phenix
Psychological Assessment 29 (5), 582, 2017
1452017
What sexual recidivism rates are associated with Static-99R and Static-2002R scores?
RK Hanson, D Thornton, LM Helmus, KM Babchishin
Sexual Abuse 28 (3), 218-252, 2016
1442016
Quantifying the relative risk of sex offenders: Risk ratios for Static-99R
RK Hanson, KM Babchishin, L Helmus, D Thornton
Sexual Abuse 25 (5), 482-515, 2013
1222013
The validity of Implicit Association Test (IAT) measures of sexual attraction to children: A meta-analysis
KM Babchishin, KL Nunes, CA Hermann
Archives of Sexual Behavior 42, 487-499, 2013
1212013
Latent constructs of the Static-99R and Static-2002R: A three-factor solution
S Brouillette-Alarie, KM Babchishin, RK Hanson, LM Helmus
Assessment 23 (1), 96-111, 2016
1072016
Sexual offending runs in families: A 37-year nationwide study
N Långström, KM Babchishin, S Fazel, P Lichtenstein, T Frisell
International journal of epidemiology 44 (2), 713-720, 2015
1072015
STABLE-2007 demonstrates predictive and incremental validity in assessing risk-relevant propensities for sexual offending: A meta-analysis
AE Brankley, KM Babchishin, RK Hanson
Sexual Abuse 33 (1), 34-62, 2021
1062021
Even highly correlated measures can add incrementally to predicting recidivism among sex offenders
KM Babchishin, RK Hanson, L Helmus
Assessment 19 (4), 442-461, 2012
1022012
The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data
KM Babchishin, LM Helmus
Behavior research methods 48, 1021-1031, 2016
1002016
A meta-analysis of viewing time measures of sexual interest in children
AF Schmidt, KM Babchishin, RJB Lehmann
Archives of Sexual Behavior 46, 287-300, 2017
952017
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