小学生对非連貫的单字、数目和图画材料的意义識記

問題意义識記是以对材料的理解为根本条件,是以借助于詞的、反映材料之間的意义联系的概括化了的联想为基础。生活实践和实驗研究都証明意义識記的效果,无論在識記的敏捷性、精确性和巩固性方面都比机械識記好。意义識記对小学生的学习具有重要意义,小学生通过意义識記,可以更有效地把必須記住的东西識記和保持起来。     

In search of the ‘Aha!’ experience: Elucidating the emotionality of insight problem‐solving

Although the experience of insight has long been noted, the essence of the ‘Aha!’ experience, reflecting a sudden change in the brain that accompanies an insight solution, remains largely unknown. This work aimed to uncover the mystery of the ‘Aha!’ experience through three studies. In Study 1, participants were required to solve a set of verbal insight problems and then subjectively report their affective experience when solving the problem. The participants were found to have experienced many types of emotions, with happiness the most frequently reported one. Multidimensional scaling was employed in Study 2 to simplify the dimensions of these reported emotions. The results showed that these different types of emotions could be clearly placed in two‐dimensional space and that components constituting the ‘Aha!’ experience mainly reflected positive emotion and approached cognition. To validate previous findings, in Study 3, participants were asked to select the most appropriate emotional item describing their feelings at the time the problem was solved. The results of this study replicated the multidimensional construct consisting of approached cognition and positive affect. These three studies provide the first direct evidence of the essence of the ‘Aha!’ experience. The potential significance of the findings was discussed.     

A two‐part mixed effects model for cigarette purchase task data

The Cigarette Purchase Task is a behavioral economic assessment tool designed to measure the relative reinforcing efficacy of cigarette smoking across different prices. An exponential demand equation has become a standard model for analyzing purchase task data, but its utility is compromised by its inability to accommodate values of zero consumption. We propose a two‐part mixed effects model that keeps the same exponential demand equation for modeling nonzero consumption values, while providing a logistic regression for the binary outcome of zero versus nonzero consumption. Therefore, the proposed model can accommodate zero consumption values and retain the features of the exponential demand equation at the same time. As a byproduct, the logistic regression component of the proposed model provides a new demand index, the “derived breakpoint”, for the price above which a subject is more likely to be abstinent than to be smoking. We apply the proposed model to data collected at baseline from college students (N = 1,217) enrolled in a randomized clinical trial utilizing financial incentives to motivate tobacco cessation. Monte Carlo simulations showed that the proposed model provides better fits than an existing model. We note that the proposed methodology is applicable to other purchase task data, for example, drugs of abuse.     

学习不良儿童孤独感、同伴接受性的特点及其与家庭功能的关系

采用量表法、同伴提名法、访谈法探讨了小学学习不良儿童孤独感、同伴接受性的特点及其与家庭功能的关系。结果表明,４—６年级小学儿童存在孤独感;与一般儿童相比,学习不良儿童孤独感明显偏高,而同伴接受性明显偏低;同伴接受性与孤独感和家庭功能之间存在显著相关。     

神经元活动的时相同步与脑功能整合

从大脑整合的角度分析心理的神经机制。神经元之间的交互和动态联结而构成神经集合被认为是每一个认知活动的基础。然而这一交互作用的具体性质,即脑整合的机制尚未明确。通过对有关实验结果的分析,认为神经元活动的时相同步可能是脑整合的机制。     

A New Multilevel CART Algorithm for Multilevel Data with Binary Outcomes

The multilevel logistic regression model (M-logit) is the standard model for modeling multilevel data with binary outcomes. However, many assumptions and restrictions should be considered when applying this model for unbiased estimation. To overcome these limitations, we proposed a multilevel CART (M-CART) algorithm which combines the M-logit and single level CART (S-CART) within the framework of the expectation-maximization. Simulation results showed that the proposed M-CART provided substantial improvements on classification accuracy, sensitivity, and specific over the M-logit, S-CART, and single level logistic regression model when modeling multilevel data with binary outcomes. This benefit of using M-CART was consistently found across different conditions of sample size, intra-class correlation, and when relationships between predictors and outcomes were nonlinear and nonadditive.     

基于速度与准确率权衡的心理测量学模型及应用

在大规模被试评价中,任务完成的准确率一直是评价的主要指标。然而,在各种任务情景中,反映执行者素质的指标除了结果的正确性之外,决策过程的时效性同样是极其重要的。因此,开发一个适合大规模评价情景,同时考虑速度与准确率权衡的模型,探索被试作答准确率与速度间的关系将具有重要的价值。基于认知心理学实验中的速度与准确率研究,构建一个基于速度与准确率权衡的心理测量学模型。新模型参数能非常稳定而又精确地被估计,同时模型中的变量及其关系也能够很好地得到实测数据的支持。     

大学生心理需求与网络社交:认知评估与自我调控的作用

为探讨大学生心理需求、认知评估、自我调控和网络社交的关系,采用大学生心理需求量表、网络利弊权衡问卷、自我调控问卷和网络交往问卷对503名大学生进行调查,结果发现:(1)大学生心理需求可显著正向预测网络社交;对上网的好处和代价认知评估在两者间起部分中介作用。(2)自我调控在心理需求和网络社交间起调节作用。由此得出结论,大学生的心理需求可显著影响网络社交,对上网的好处和代价认知评估在二者间起中介作用,自我调控起调节作用。研究结果进一步揭示了心理需求影响网络社交的内在机制,可为网络时代大学生进行健康网络社交提供有益指导。     

Statistical regularities guide the spatial scale of attention

Visual scenes contain information on both a local scale (e.g., a tree) and a global scale (e.g., a forest). The question of whether the visual system prioritizes local or global elements has been debated for over a century. Given that visual scenes often contain distinct individual objects, here we examine how regularities between individual objects prioritize local or global processing. Participants viewed Navon-like figures consisting of small local objects making up a global object, and were asked to identify either the shape of the local objects or the shape of the global object, as fast and accurately as possible. Unbeknown to the participants, local regularities (i.e., triplets) or global regularities (i.e., quadruples) were embedded among the objects. We found that the identification of the local shape was faster when individual objects reliably co-occurred immediately next to each other as triplets (local regularities, Experiment 1). This result suggested that local regularities draw attention to the local scale. Moreover, the identification of the global shape was faster when objects co-occurred at the global scale as quadruples (global regularities, Experiment 2). This result suggested that global regularities draw attention to the global scale. No participant was explicitly aware of the regularities in the experiments. The results suggest that statistical regularities can determine whether attention is directed to the individual objects or to the entire scene. The findings provide evidence that regularities guide the spatial scale of attention in the absence of explicit awareness.