多维项目反应理论补偿性模型参数估计:基于广义回归神经网络集合

运用广义回归神经网络(GRNN)方法对小样本多维项目反应理论(MIRT)补偿性模型的项目参数进行估计,尝试解决传统参数估计方法样本数量要求较大的问题。MIRT双参数Logistic补偿模型被设置为二级计分的二维模型。首先,模拟二维能力参数、项目参数值与考生作答矩阵。其次,把通过主成分分析得到的前两个因子在每个题目上的载荷作为区分度的初始值以及题目通过率作为难度的初始值,这两个指标的初始值作为神经网络的输入。集成100个神经网络,其输出值的均值作为MIRT的项目参数估计值。最后,设置2×2种(能力相关水平:0.3和0.7; 两种估计方法:GRNN和MCMC方法)实验处理,对GRNN和MCMC估计方法的返真性进行比较。结果表明,小样本的情况下,基于GRNN集成方法的参数估计结果优于MCMC方法。     

Plurality and prevalence of sexual motivations in a sample of young francophone adults

IntroductionUnderstanding the motivations that lead to the adoption of sexual behaviors is of major interest to both the individual and public health.ObjectivesThis work (i) questions the reasons that lead students from two French universities to adopt sexual behaviors, (ii) examines the motivational similarities and differences between men and women, (iii) compare the results to data from north American subjects.MethodIn total, 657 subjects (526 women; 131 men, mean age: 22.6 years) were requested to take part in an online study investigating sexual behaviors. Reason for Having Sex Questionnaire (Meston & Buss, 2007), was used as a basis for the identification of sexual motivations.ResultOn average 53.05 different motivations led to the adoption of sexual behaviors. Significant differences of men/women were found between men and women (72% significant differences in p < 0.05) but mainly of small amplitude (d < 0.33: 58.33%). Men and women also differ in the structure of interrelations between motivations and by the role played by the different motivations. Overall, female motivational system is more sectorized and more organized than the male system, which seems more resilient (density of interrelations Men: 46.3%; women: 34.2%; distance between motivations: 5.44 vs. 3.86, p < 0.001, d = 2.07). Cultural comparisons showed significant differences of low to moderate amplitude between young adult students in France and those who come from North American universities. Gender differences in sexual motivations for sex were more marked in France than in the US.ConclusionOur results argue for a bio-psychosocial and systemic approach of sexual motivations. Theoretical, methodological and practical perspectives are envisaged.     

Taking Stock of the Diversity and Sense of Community Debate

Over the past couple of years, a debate has played out in the pages of the American Journal of Community Psychology concerning the relationship between two of Community Psychology's core values: promoting diversity and promoting a sense of community. This special section is to continue a discussion about diversity and community, both among the debate's initial contributors (Alex Stivala, Greg Townley, and Zachary Neal), as well as among others whose own work has touched on these issues (Anne Brodsky, Richard Florida, Jean Hill, and Roderick Watts). In this essay, I address some broad questions that have emerged through this discussion. First, because much has been written on the relationship between diversity and community, both in community psychology and in other disciplines, what do we know, or at least think we know? Second, since the constructs of diversity and sense of community are complex and multi‐faceted, how can definitions get in the way and how can we avoid talking past one another in this discussion? Finally, looking across the original papers that initiated this discussion, as well as the contributions in this special section, what path(s) forward do we have?     

Categories of Large Numbers in Line Estimation

How do people stretch their understanding of magnitude from the experiential range to the very large quantities and ranges important in science, geopolitics, and mathematics? This paper empirically evaluates how and whether people make use of numerical categories when estimating relative magnitudes of numbers across many orders of magnitude. We hypothesize that people use scale words—thousand, million, billion—to carve the large number line into categories, stretching linear responses across items within each category. If so, discontinuities in position and response time are expected near the boundaries between categories. In contrast to previous work (Landy, Silbert, & Goldin, 2013) that suggested only that a minority of college undergraduates employed categorical boundaries, we find that discontinuities near category boundaries occur in most or all participants, but that accurate and inaccurate participants respond in opposite ways to category boundaries. Accurate participants highlight contrasts within a category, whereas inaccurate participants adjust their responses toward category centers.     

An evolutionary system for neural logic networks using genetic programming and indirect encoding

Nowadays, intelligent connectionist systems such as artificial neural networks have been proved very powerful in a wide area of applications. Consequently, the ability to interpret their structure was always a desirable feature for experts. In this field, the neural logic networks (NLN) by their definition are able to represent complex human logic and provide knowledge discovery. However, under contemporary methodologies, the training of these networks may often result in non-comprehensible or poorly designed structures. In this work, we propose an evolutionary system that uses current advances in genetic programming that overcome these drawbacks and produces neural logic networks that can be arbitrarily connected and are easily interpretable into expert rules. To accomplish this task, we guide the genetic programming process using a context-free grammar and we encode indirectly the neural logic networks into the genetic programming individuals. We test the proposed system in two problems of medical diagnosis. Our results are examined both in terms of the solution interpretability that can lead in knowledge discovery, and in terms of the achieved accuracy. We draw conclusions about the effectiveness of the system and we propose further research directions.     

The AHA! experience: creativity through emergent binding in neural networks

Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support cognitive and emotional processes underlying human creativity.     

Perceiving the Present: Systematization of Illusions or Illusion of Systematization?

Mark Changizi et al. (2008) claim that it is possible systematically to organize more than 50 kinds of illusions in a 7 × 4 matrix of 28 classes. This systematization, they further maintain, can be explained by the operation of a single visual processing latency correction mechanism that they call “perceiving the present” (PTP). This brief report raises some concerns about the way a number of illusions are classified by the proposed systematization. It also poses two general problems—one empirical and one conceptual—for the PTP approach.     

情绪智力的基础：情绪觉察的研究现状与展望

情绪觉察作为情绪智力的重要基础,指的是识别与描述自己和他人情绪的能力,对个体的心理健康,人际交往具有重要意义。为系统考察情绪觉察的研究现状,采用定性和定量相结合的方式回顾以往研究,即先采用文献计量学的方法定量分析该领域研究的概况,然后在此基础上,对研究的具体内容从概念界定、测量工具、神经基础、相关因素和干预研究五个方面作进一步系统梳理。最后,对以往研究进行了总结和展望,以期为今后研究提供借鉴。     

社交网站中的自我呈现对生活满意度的影响:积极情绪和社会支持的作用

采用社交网站中的积极自我呈现和真实自我呈现问卷、积极情绪量表、领悟社会支持量表和生活满意度问卷对武汉某高校645名在校大学生进行调查,探讨了社交网站中的积极自我呈现、真实自我呈现对个体生活满意的影响以及积极情绪和社会支持在其中的中介作用,结果发现:(1)社交网站中的积极自我呈现和真实自我呈现与积极情绪、社会支持和生活满意度都呈显著正相关;(2)真实和积极自我呈现对生活满意度都有显著的直接预测作用;此外,真实自我呈现还可以通过社会支持的中介作用对生活满意度产生影响,而积极自我呈现不仅可以通过积极情绪的单独中介作用对生活满意度产生影响,还能通过积极情绪-社会支持的链式中介作用对生活满意度产生影响。     

How Should We Do Nanoethics? A Network Approach for Discerning Ethical Issues in Nanotechnology

There is no agreement on how nanoethics should proceed. In this article I focus on approaches for discerning ethical issues in nanotechnology, which is as of yet one of the most difficult and urging tasks for nanoethics. I discuss and criticize two existing approaches for discerning ethical issues in nanotechnology and propose a network approach as alternative. I discuss debates in nanoethics about the desirable role of ethics in nanotechnological development and about the newness of ethical issues in nanotechnology. On basis of a critical analysis of both debates, I formulate a number of desiderata for a method for discerning ethical issues in nanotechnology and argue that the network approach that my colleagues and I have developed for ethical issues in research and development networks is also appropriate in nanotechnology.