Development of adolescence‐limited,late‐onset,and persistent offenders from age 8 to age 48

This article investigates the life success at ages 32 and 48 of four categories of males: nonoffenders, adolescence‐limited offenders (convicted only at ages 10–20), late‐onset offenders (convicted only at ages 21–50), and persistent offenders (convicted at both ages 10–20 and 21–50). In the Cambridge Study in Delinquent Development, 411 South London males have been followed up from age 8 to 48 in repeated personal interviews. There was considerable continuity in offending over time. Persistent offenders had the longest criminal careers (averaging 18.4 years), and most of them had convictions for violence. Persistent offenders were leading the most unsuccessful lives at ages 32 and 48, although all categories of males became more successful with age. By age 48, the life success of adolescence‐limited offenders was similar to that of nonoffenders. The most important risk factors at ages 8–18 that predicted which offenders would persist after age 21 were heavy drinking at age 18, hyperactivity at ages 12–14, and low popularity and harsh discipline at ages 8–10. The most important risk factors that predicted which nonoffenders would onset after age 21 were poor housing and low nonverbal IQ at ages 8–10, high neuroticism at age 16, and anti‐establishment attitudes and motoring convictions at age 18. It was suggested that nervousness and neuroticism may have protected children at risk from offending in adolescence and the teenage years. Aggr. Behav. 35:150–163, 2009. © 2009 Wiley‐Liss, Inc.     

序列学习是否是内隐学习？

序列学习是继人工语法之后内隐学习的另一研究范式。以往观点认为,在练习后,被试对规则刺激和随机刺激在反应时上出现差异,就表明被试是内隐学习,这种差异量就是内隐学习量。但现在很多学者对序列学习是否内隐这一问题提出了疑问;运用新方法（过程分离法,简称PDP）的研究发现,序列学习是否内隐同反应-刺激间隔（RSI）有关,当RSI = 0时,序列学习才是内隐的;根据RSI提出了神经网络模型。     

Dialectical Behavior Therapy Techniques for Counseling Incarcerated Female Adolescents: A Case Illustration

Dialectical behavior therapy (DBT) may successfully address the needs of female juvenile offenders, but systemic barriers prohibit adherence to the full DBT protocol. The authors built a rationale for using select DBT techniques with female adolescent offenders and provided a case illustration.     

Finding a serial burglar's home using distance decay and conditional origin–destination patterns: a test of empirical Bayes journey-to-crime estimation in the Hague

Can we tell where an offender lives from where he or she commits crimes? Journey-to-crime estimation is a tool that uses crime locations to tell us where to search for a serial offender's home. In this paper, we test a new method: empirical Bayes journey-to-crime estimation. It differs from previous methods because it utilises an ‘origin–destination’ rule in addition to the ‘distance decay’ rule that prior methods have used. In the new method, the profiler not only asks ‘what distances did previous offenders travel between their home and the crime scenes?’ but also ‘where did previous offenders live who offended at the locations included in the crime series I investigate right now?’. The new method could not only improve predictive accuracy, it could also reduce the traditional distinction between marauding and commuting offenders. Utilising the CrimeStat software, we apply the new method to 62 serial burglars in The Hague, The Netherlands, and show that the new method has higher predictive accuracy than methods that only exploit a distance decay rule. The new method not only improves the accuracy of predicting the homes of commuters—offenders who live outside their offending area—it also improves the search for marauders—offenders who live inside their offending area. After presenting an example of the application of the technique for prediction of a specific burglar, we discuss the limitations of the method and offer some suggestions for its future development. Copyright © 2009 John Wiley & Sons, Ltd.     

Attitudes and Decisions about Sexual Offenders: A Comparison of Laypersons and Professionals

The current study examines the inherent biases about sexual offending held by 123 laypersons and 120 professionals (i.e. probation officers and therapists). In order to determine the extent of these biases, a series of brief newspaper articles were constructed to depict cases of sexual offenders. Each article comprised several combinations of key variables, including offender type, level of admission, and the presence of alcohol. Participants read a series of three fabricated articles and then completed a questionnaire regarding attitudes about the various offenders. The results indicate important differences between the lay and professional samples. Laypersons deemed sex offenders more favourably in terms of character, accountability, and risk for sexual recidivism. However, both groups showed some similar perceptions about sexual offending. Specifically, both groups evaluated child molesters more negatively than exhibitionists and in some cases, rapists. These findings highlight the need for continuing education for professionals in order to attenuate the effects of prejudicial attitudes. Copyright © 2011 John Wiley & Sons, Ltd.     

Data-driven sequence learning or search: What are the prerequisites for the generation of explicit sequence knowledge?

In incidental sequence learning situations, there is often a number of participants who can report the task-inherent sequential regularity after training. Two kinds of mechanisms for the generation of this explicit knowledge have been proposed in the literature. First, a sequence representation may become explicit when its strength reaches a certain level (Cleeremans, 2006), and secondly, explicit knowledge may emerge as the result of a search process that is triggered by unexpected events that occur during task processing and require an explanation (the unexpected-event hypothesis; Haider & Frensch, 2009). Our study aimed at systematically exploring the contribution of both mechanisms to the generation of explicit sequence knowledge in an incidental learning situation. We varied the amount of specific sequence training and inserted unexpected events into a 6-choice serial reaction time task. Results support the unexpected-event view, as the generation of explicit sequence knowledge could not be predicted by the representation strength acquired through implicit sequence learning. Rather sequence detection turned out to be more likely when participants were shifted to the fixed repeating sequence after training than when practicing one and the same fixed sequence without interruption. The behavioral effects of representation strength appear to be related to the effectiveness of unexpected changes in performance as triggers of a controlled search.     

Stimulus-dependent modulation of perceptual and motor learning in a serial reaction time task

In two experiments, we investigated the impact of spatial attributes on the representation acquired during a serial reaction time task. Two sequences were used, in which structural regularities occurred either in the horizontal or in the vertical locations of successive stimuli. After training with the dominant hand, participants were required to respond with the non-dominant hand to either the original sequence or to a mirror-ordered version of the original sequence that required finger movements homologous to those used during training. We observed that a difference in reaction times between the two transfer conditions was smaller in the vertical sequence than in the horizontal sequence. This pattern of results was independent of whether three fingers (Experiment 1) were used or only one finger (Experiment 2) was used for responding. This result suggests that perceptual and motor learning mechanisms may be weighted differently depending on the context in which the stimulus is presented.     

Comparing the Predictive Accuracy of Case Linkage Methods in Serious Sexual Assaults

The empirical support for linkage analysis is steadily increasing, but the question remains as to what method of linking is the most effective. We compared a more theory‐based, dimensional behavioural approach with a rather pragmatic, multivariate behavioural approach with regard to their accuracy in linking serial sexual assaults in a UK sample of serial sexual assaults (n = 90) and one‐off sexual assaults (n = 129). Their respective linkage accuracy was assessed by (1) using seven dimensions derived by non‐parametric Mokken scale analysis (MSA) as predictors in discriminant function analysis (DFA) and (2) 46 crime scene characteristics simultaneously in a naive Bayesian classifier (NBC). The dimensional scales predicted 28.9% of the series correctly, whereas the NBC correctly identified 34.5% of the series. However, a subsequent inclusion of non‐serial offences in the target group decreased the amount of correct links in the dimensional approach (MSA–DFA: 8.9%; NBC: 32.2%). Receiver operating characteristic analysis was used as a more objective comparison of the two methods under both conditions, confirming that each achieved good accuracies (AUCs = .74–.89), but the NBC performed significantly better than the dimensional approach. The consequences for the practical implementation in behavioural case linkage are discussed. Copyright © 2012 John Wiley & Sons, Ltd.     

Testing Existing Classifications of Serial Murder Considering Gender: An Exploratory Analysis of Solo Female Serial Murderers

Serial murder is a genre of crime that has received a great deal of media and academic attention, yet, serial murder committed by women has only begun to garner a portion of this attention within the last 15 years. This study examines the reliability of Kelleher and Kelleher's classification rubric, the only classification system developed for female serial murderers, as well as considering Hickey's classification of serial offenders by location. Other variables associated with homicide research have also been examined to determine their roles in both these crimes and classifying offenders. The current research will demonstrate that offender motivation is not an ideal basis for the classification of female serial murderers, who tend to defy simple or singular classification within existing typologies. The other variables analysed indicate that victim–offender relationship and victim approach are important to understanding these female offenders and their crimes, as well as the possible development of more accurate classification systems. Copyright © 2013 John Wiley & Sons, Ltd.