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 | 541 | 2012 |
The characteristics of online sex offenders: A meta-analysis KM Babchishin, R Karl Hanson, CA Hermann Sexual Abuse 23 (1), 92-123, 2011 | 446 | 2011 |
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 | 432 | 2015 |
Contact sexual offending by men with online sexual offenses MC Seto, R Karl Hanson, KM Babchishin Sexual Abuse 23 (1), 124-145, 2011 | 426 | 2011 |
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 | 333 | 2012 |
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 | 251 | 2017 |
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 | 233 | 2013 |
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 | 189 | 2015 |
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 | 176 | 2012 |
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 | 166 | 2017 |
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 | 145 | 2017 |
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 | 144 | 2016 |
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 | 122 | 2013 |
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 | 121 | 2013 |
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 | 107 | 2016 |
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 | 107 | 2015 |
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 | 106 | 2021 |
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 | 102 | 2012 |
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 | 100 | 2016 |
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 | 95 | 2017 |