变量间的网络分析模型及其应用

变量间的网络分析模型近年来被广泛应用于心理学研究。不同于将潜变量作为观测变量的共同先导因素的潜变量模型, 网络分析模型将观测变量作为初级指标, 采用图论的方法建立观测变量之间的关系网络, 其中变量为网络的节点, 而变量间的关系是节点之间的连线。因此网络分析可以突显观测变量之间的联系以及观测变量相互影响而形成的系统。通过变量网络中基于各个节点特征的指标(如中心性)以及基于整体结构特征的指标(如小世界性), 网络分析为研究各种心理现象提供了新的可视化的描述方式和理解视角。近10年来, 网络分析的方法已在人格心理学、社会心理学和临床心理学等领域得到一定的应用。未来研究应继续发展和完善网络分析模型的理论和方法, 使之运用到更多的数据类型和更广的研究领域中。     

行为干预情绪记忆再巩固：从实验室到临床转化

重新激活已经储存的记忆会重返暂时不稳定的状态, 需要经历重新稳定, 称为记忆再巩固。在这期间可以通过多种行为手段破坏、强化或更新原始记忆痕迹, 这为开发一种革命性的情绪记忆障碍治疗方法开辟了道路。然而, 即使在简单的实验模型中引发记忆再巩固的条件也是复杂的, 这给临床转化带来了困难与挑战。未来研究可以设置更具生态效应的基础模型, 寻求引发以及干预再巩固的最佳方式, 从神经生理、细胞分子层面进一步深化其内在机理研究。     

青少年的同伴选择与同伴影响：基于学业投入与学业成就的纵向社会网络分析

以756名中学生为研究对象,对学业投入、学业成就、同伴团体进行追踪测量,探讨青少年同伴团体的学业投入及学业成就是否存在同伴选择与同伴影响效应。结果表明：（1）在1年的追踪时间中,青少年学业投入的发展呈下降趋势,初始水平与下降速度负相关,学业成就的发展呈上升趋势,初始水平与上升速度无显著相关;（2）学业投入与学业成就存在同伴选择效应,青少年倾向选择与自己学业投入及学业成就相似的个体构建同伴团体;（3）青少年的学业投入及学业成就与同伴逐渐趋近相似,即同伴影响效应显著。     

关于胚胎干细胞研究的一场伦理之争

关于“人兔细胞融合”的伦理之争,主要围绕“人兔细胞融合”实验是否违背伦理,要不要经过知情同意,以及科学技术与伦理道德的关系等问题而进行。这场讨论是正常的,健康的,有益的,倘能加以认真总结,将有助于推进学术争鸣。     

Longing for Life Extension: Science Fiction and Late Life

Rejuvenescence has long been a topic of legend and medicine. As the body became the property of medical science, speculative fiction asked how fantastic experiments with bodies would affect the life course. In science fiction, medical breakthroughs promise or threaten to forestall or even reverse the decline from midlife through old age to senility and decrepitude. Responding to debates over evolution, eugenics, and scientific experimentation with human and animal subjects, rejuvenescence novels such as Bruce Sterling's Holy Fire (1996) ask readers whether they desire long life or heightened quality of life; the consolations of age or the hungers of youth; short-lived intensity or perpetual ennui.     

Conflicts of interest in science in Armenia

The author describes problems facing Armenia in reorganization of the structure of science in the post-socialist era with the aim of utilizing limited state resources more efficiently by reducing the number of separate scientific institutes, concentrating on essential core subjects required by the nation and encouraging all other projects to compete in the international arena for grant sponsorship. An earlier version of this paper was presented at an International Conference on “Conflict of Interest and its Significance in Science and Medicine” held in Warsaw, Poland on 5–6 April, 2002.     

The continuing need for disinterested research

For scientific knowledge to be trustworthy, it needs to be dissociated from material interests. Disinterested research also performs other important non-instrumental roles. In particular, academic science has traditionally provided society with reliable, imaginative public knowledge and independent, self-critical expertise. But this type of science is not compatible with the practice of instrumental research, which is typically proprietary, prosaic, pragmatic and partisan. With ever-increasing dependence on commercial or state funding, all modes of knowledge production are merging into a new, ‘post-academic’ research culture which is dominated by utilitarian goals. Growing concern about conflicts of interest is thus a symptom of deep-seated malaise in science and medicine. An expanded version of this paper was presented at an International Conference on “Conflict of Interest and its Significance in Science and Medicine” held in Warsaw, Poland on 5–6 April, 2002.     

Behavior analysis and revaluation

Revaluation refers to phenomena in which the strength of an operant is altered by reinforcer-related manipulations that take place outside the conditioning situation in which the operant was selected. As an example, if lever pressing is acquired using food as a reinforcer and food is later paired with an aversive stimulus, the frequency of lever pressing decreases when subsequently tested. Associationist psychology infers from such findings that conditioning produces a response-outcome (i.e., reinforcer) association and that the operant decreased in strength because pairing the reinforcer with the aversive stimulus changed the value of the outcome. Here, we present an approach to the interpretation of these and related findings that employs neural network simulations grounded in the experimental analysis of behavior and neuroscience. In so doing, we address some general issues regarding the relations among behavior analysis, neuroscience, and associationism.     

Getting the Big Picture in Community Science: Methods That Capture Context

Community science has a rich tradition of using theories and research designs that are consistent with its core value of contextualism. However, a survey of empirical articles published in the American Journal of Community Psychology shows that community scientists utilize a narrow range of statistical tools that are not well suited to assess contextual data. Multilevel modeling, geographic information systems (GIS), social network analysis, and cluster analysis are recommended as useful tools to address contextual questions in community science. An argument for increased methodological consilience is presented, where community scientists are encouraged to adopt statistical methodology that is capable of modeling a greater proportion of the data than is typical with traditional methods.     

Community Science: Creating an Alternative Place to Stand?

This article comments on two emerging views of community psychologys approaches to the use of research for responding to social problems in contemporary community contexts – (a) the formation of a new field of community science, or (b) the updating of community psychology research traditions. If community science is to become established as a field related to community psychology, its proponents will need to agree upon conventions of epistemology, foci of interest, methods, and standards by which its work can be judged so that it can be distinguished from other human sciences. These articles provide early sketches for what community science might be. However, as noted in this commentary, we need to heed signs of concern about community psychologys continued relevance in public discourse regarding the analysis of and responses to social problems. While this special issue offers some promising responses to the concern of what the field can contribute, the field would be well served if we broaden our dialogue about a renewal of community psychologys commitment to social justice and the need for its perspectives in the practice of research that seeks to address community-based issues in the early 21st century.