Prevalence,dynamic risk factors and the efficacy of primary interventions for adolescent dating violence: An international review

Adolescent dating violence is a pressing international issue: yet, there have been few attempts to collate the international evidence regarding this phenomenon. This article reviews contemporary evidence from Europe and North America on prevalence, dynamic risk factors, and the efficacy of intervention programs for adolescent dating violence. Prevalence findings suggest that victimization rates are comparable across Europe and North America. Although individual studies report differing prevalences, the overall hierarchy of violence types – in which psychological/emotional violence is most and sexual violence least prevalent – is consistent across almost all investigations. Four dynamic risk factors for perpetration are identified: peer influence, substance use, psychological adjustment and competencies, and attitudes towards violence. Peer influences and attitudes towards violence appear to be the most extensively evidenced factors in the literature. Nine existing intervention programs are identified, all located within North America. Intervention results are mixed, with some evaluations reporting significant long-term benefits while others report positive intervention effects dissipate throughout follow-up. Tentative analysis suggests that programs focused on behavioral change may elicit sustainable effects more readily. However, this is difficult to ascertain with no data on program repetitions and variations across intervention pedagogy and sample. Concerns with existing research and interventions and possible future directions are discussed.     

精神障碍患者非自愿住院医疗法律规制之原则

基于对社会权利秩序的维护和对精神障碍患者个体权利的恢复,非自愿住院医疗有存在的必要性,但又涉及到对自由权的剥夺,衡平其中的矛盾在于对非自愿住院医疗进行正当的法律规制,探讨了精神障碍患者非自愿住院医疗法律规制应当遵循的法定原则、法律价值权衡原则、最小限制原则、比例原则、医疗目的原则和司法审查原则.     

Adapting to an initial self-regulatory task cancels the ego depletion effect

The resource-based model of self-regulation provides a pessimistic view of self-regulation that people are destined to lose their self-control after having engaged in any act of self-regulation because these acts deplete the limited resource that people need for successful self-regulation. The cognitive control theory, however, offers an alternative explanation and suggests that the depletion effect reflects switch costs between different cognitive control processes recruited to deal with demanding tasks. This account implies that the depletion effect will not occur once people have had the opportunity to adapt to the self-regulatory task initially engaged in. Consistent with this idea, the present study showed that engaging in a demanding task led to performance deficits on a subsequent self-regulatory task (i.e. the depletion effect) only when the initial demanding task was relatively short but not when it was long enough for participants to adapt. Our results were unrelated to self-efficacy, mood, and motivation.     

On Latent Growth Models for Composites and Their Constituents

Over the last decade and a half, latent growth modeling has become an extremely popular and versatile technique for evaluating longitudinal change and its determinants. Most common among the models applied are those for a single measured variable over time. This model has been extended in a variety of ways, most relevant for the current work being the multidomain and the second-order latent growth models. Whereas the former allows for growth function characteristics to be modeled for multiple outcomes simultaneously, with the degree of growth characteristics' relations assessed within the model (e.g., cross-domain slope factor correlations), the latter models growth in latent outcomes, each of which has effect indicators repeated over time. But what if one has an outcome that is believed to be formative relative to its indicator variables rather than latent? In this case, where the outcome is a composite of multiple constituents, modeling change over time is less straightforward. This article provides analytical and applied details for simultaneously modeling growth in composites and their constituent elements, including a real data example using a general computer self-efficacy questionnaire.     

An individual's work values in career development

This study examined the mediation effect of career decision self‐efficacy in relation to work values and career decision status. The authors surveyed 308 college students about their own intrinsic (e.g., helping others) and extrinsic (e.g., high income) work values and those of significant others, career decision self‐efficacy, and career decision status. The results indicated that the intrinsic and extrinsic work values of significant others were related to the intrinsic and extrinsic work values of the self and that intrinsic work values were more adaptive than extrinsic work values in career development.     

奖励影响注意选择的认知加工机制

奖励不仅能够塑造行为, 也能影响个体的内部心理过程。在注意选择过程中, 与奖励联结的刺激能够吸引注意资源。当目标刺激与奖励联结时, 能够易化注意选择过程; 当分心刺激与奖励联结时, 能够阻碍注意选择过程。可见, 奖励从不同角度对注意选择产生影响。奖励对注意选择的影响可能有其特有的认知机制, 并且奖励对注意的捕获效应受到许多因素的调节, 如奖励预测、工作记忆容量、人格特质及刺激的新异性。未来的研究应该尝试将奖励影响注意选择的研究成果应用于不良注意偏向临床干预的实践领域。     

单侧化准备电位启始时间点的测算:刀切法*

刀切法是统计学家Quenouille提出的一种参数估计方法,由Miller等在1998年首次将刀切法应用在单侧化准备电位(LRP)启始时间点(onset)的测量中。相对于以往单个被试法而言,它是较新的一种统计方法。本文综述了刀切法的统计原理和基本使用过程,并和单个被试法进行了差异比较,最后对这一方法的发展趋势做了展望。     

动态决策模型下情绪对风险决策的影响*

通过静态-动态决策模型的创设,考察了不同构造情境下心境、即时性诱发情绪对风险决策行为的影响。实验结果表明:(1)静态决策模型和动态决策模型下风险决策行为有着显著不同,相对于静态决策,动态决策模型下被试的风险决策行为更显保守;(2)不同心境在静态-动态决策模型下对风险决策行为的影响不同;(3)诱发情绪在动态决策模型中能对风险决策行为产生影响,恐惧情绪促使被试在动态决策中趋于保守。     

Testing take-the-best in new and changing environments

Take-the-best is a decision-making strategy that chooses between alternatives, by searching the cues representing the alternatives in order of cue validity, and choosing the alternative with the first discriminating cue. Theoretical support for take-the-best comes from the “fast and frugal” approach to modeling cognition, which assumes decision-making strategies need to be fast to cope with a competitive world, and be simple to be robust to uncertainty and environmental change. We contribute to the empirical evaluation of take-the-best in two ways. First, we generate four new environments—involving bridge lengths, hamburger prices, theme park attendances, and US university rankings—supplementing the relatively limited number of naturally cue-based environments previously considered. We find that take-the-best is as accurate as rival decision strategies that use all of the available cues. Secondly, we develop 19 new data sets characterizing the change in cities and their populations in four countries. We find that take-the-best maintains its accuracy and limited search as the environments change, even if cue validities learned in one environment are used to make decisions in another. Once again, we find that take-the-best is as accurate as rival strategies that use all of the cues. We conclude that these new evaluations support the theoretical claims of the accuracy, frugality, and robustness for take-the-best, and that the new data sets provide a valuable resource for the more general study of the relationship between effective decision-making strategies and the environments in which they operate.