Predicting Failure on the Sex Offense Registry: An Examination of Static and Dynamic Factors

2021 ◽  
pp. 1-19
Author(s):  
Kristina J Thompson ◽  
Beth M. Huebner
Keyword(s):  
1954 ◽  
Author(s):  
J. P. Guilford ◽  
Paul R. Christensen ◽  
Nicholas A. Bond
Keyword(s):  

1962 ◽  
Vol 18 (4) ◽  
pp. 33-39
Author(s):  
William C. Norby ◽  
Herbert E. Neil

Author(s):  
William T. Miller ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
Ebony Ruhland

Scholars have presented concerns about potential for racial bias in risk assessments as a result of the inclusion of static factors, such as criminal history in risk assessments. The purpose of this study was to examine the extent to which static factors add incremental validity to the dynamic factors in criminogenic risk assessments. This study examined the Youth Level of Service/Case Management Inventory (YLS/CMI) in a sample of 1,270 youth offenders from a medium-sized Midwestern county between June 2004 and November 2013. Logistic regression was used to determine the predictive validity of the YLS/CMI and the individual contribution of static and dynamic domains of the assessment. Results indicated that the static domain differentially predicted recidivism for Black and White youth. In particular, the static domain was a significant predictor of recidivism for White youth, but this was not the case for Black youth. The dynamic domain significantly predicted recidivism for both Black and White offenders, and static risk factors improved prediction of recidivism for White youth, but not for Black youth.


Author(s):  
Taeyoung Kim ◽  
Seung Yeop Paek ◽  
Julak Lee

Subway sex offenses are a serious issue in the nations around world, but existing research has failed to explore the offense types or patterns systematically. In order to fill this gap, the authors employed Crime Script Analysis (CSA) to examine the two most common subway sex offenses in Seoul, South Korea. Specifically, the authors assessed the reasoning behind the steps taken to prepare for, carry out, and complete harassment and surreptitious recording. The offenses committed in the subway stations around the city of Seoul were analyzed based on the interviews with the subway police, official crime reports, and crime case files. Drawing from the findings, theoretical and practical implications are discussed.


Author(s):  
Kathryn A. Cunningham ◽  
Kelly L. Edyburn ◽  
Fran Lexcen
Keyword(s):  

2013 ◽  
Vol 734-737 ◽  
pp. 1200-1203
Author(s):  
Shu Qiang Liu ◽  
Ji Cheng Zhang ◽  
Jin Cheng Xu

During polymer flooding, certain amount of polymer would be lost. Polymer retention causes sweep volume expanding on one side, it also causes polymer loss on the other. Therefore, it is a very important topic to study the influencing factors of polymer retention. There are many factors affecting polymer retention process. This paper mainly studied the influence from dynamic factors such as polymer solution concentration, injection rate, injection time, injected pv number. This paper investigated the influence of these factors on polymer retention process, and optimized these factors to minimize polymer loss in reservoir.


2015 ◽  
Vol 54 (1) ◽  
pp. 106-116 ◽  
Author(s):  
Yu Wang ◽  
Hong-Qing Wang ◽  
Lei Han ◽  
Yin-Jing Lin ◽  
Yan Zhang

AbstractThis study was designed to provide basic information for the improvement of storm nowcasting. According to the mean direction deviation of storm movement, storms were classified into three types: 1) steady storms (S storms, extrapolated efficiently), 2) unsteady storms (U storms, extrapolated poorly), and 3) transitional storms (T storms). The U storms do not fit the linear extrapolation processes because of their unsteady movements. A 6-yr warm-season radar observation dataset was used to highlight and analyze the differences between U storms and S storms. The analysis included geometric features, dynamic factors, and environmental parameters. The results showed that storms with the following characteristics changed movement direction most easily in the Beijing–Tianjin region: 1) smaller storm area, 2) lower thickness (echo-top height minus base height), 3) lower movement speed, 4) weaker updrafts and the maximum value located in the mid- and upper troposphere, 5) storm-relative vertical wind profiles dominated by directional shear instead of speed shear, 6) lower relative humidity in the mid- and upper troposphere, and 7) higher surface evaporation and ground roughness.


Sign in / Sign up

Export Citation Format

Share Document