应用Rasch模型测试和分析儿童入学准备状态

本研究的目的在于应用Rasch模型编制和分析数学入学准备测验,从而分析Rasch模型的有效性和优势。自编数学入学准备测试,对150名平均年龄为6.6岁的儿童进行测查,应用Rasch模型对题目和评分等级做出修正并分析结果。结果表明修正后的测试具有较好的信效度,较好地拟合了Rasch模型,评分等级设置合理,测试的整体难度相对较低。儿童的Rasch分数和性别无关,但受到年龄、家庭社会经济地位的影响。相对于经典测量理论而言,应用Rasch模型进行入学准备测试的编制和分析具有优势。     

一种测量记忆监测相对准确性的新指标：da

记忆监测的相对准确性是元记忆研究中一个重要内容。研究者采用了各种方法来测量人们记忆监测的判断值对正确项目和错误项目的区分度,例如相关法、信号检测论(SDT)测量法。其中,gamma相关从1984年起一直被广泛用于记忆监测相对准确性的测量。基于SDT的新指标da弥补了gamma相关在实际应用中的不足,并引发了新的研究兴趣。文章对da的提出背景、计算方法和应用前景进行了详细的介绍,对da与其他常用方法在使用中的优势进行了比较。对da的具体应用进行了说明,同时指出了da的使用条件。     

数量对时间知觉的影响-来自抽象数量和实际数量的证据

本研究采用抽象数量和实际数量叠加的方式呈现刺激,进一步探讨数量对时间知觉的影响。两个实验都运用时间的系列比较任务,以抽象数量和实际数量这两种数量的一致和不一致为条件,将阿拉伯数字和其字体大小叠加及阿拉伯数字和其呈现个数叠加的方式系列呈现在屏幕中央,要求被试比较判断刺激呈现的时间长短。结果显示被试均依靠实际数量的大小判断时间长短,而似乎忽略了抽象数量的存在。这一结果表明实际数量对时间知觉的影响要比抽象数量大,支持并扩展了数量理论。     

文本阅读中时间信息加工特点及二阶段模型的建构

时间信息的加工一直是当代阅读心理研究的热点。以往研究对时间信息表征的性质、维度特征、提取机制等问题存在诸多争论, 主要表现为强印象假设与场景理论的冲突。我们认为, 文本阅读中时间信息的加工包括两个阶段：加工时间词以及低水平的更新情景模型阶段和通达与整合先前信息阶段, 强印象假设和场景理论争论的实质在于前者解释的是加工的第一个阶段, 而后者解释的是加工的第二个阶段, 因此, 总是难以调和。本项目首先在更高的理论层面上将二者加以整合, 然后采用经典的认知心理学研究方法与现代的眼动研究技术相结合的方法, 通过对文本阅读中时间信息表征性质、加工的维度特征、提取过程的激活与抑制特征等问题的探讨, 为本项目提出的时间信息加工的二阶段模型提供行为实验与眼动实验证据, 从而解决该领域中强印象假设与场景理论的长期争论。本项目的理论构想与研究技术对文本阅读其他问题的探讨具有重要的方法论意义。     

Building Communities, Bridging Gaps: Alexander George's Contributions to Research Methods

This article assesses Alexander L. George's seminal contributions in six areas of political psychology and qualitative case study methods. These include George's work on psychological inputs in political processes, the intersection of history and political science, methods of within-case analysis such as process tracing, the use of structured, focused case comparisons (SFCC), the development of typological theories, and the connections among theory, empirical research, teaching, and policy. The article concludes with an analysis of four ongoing dimensions of George's research agenda: the need to integrate theories on purposive, cognitive, social, and motivational dynamics of decision making; the importance of methodological safeguards against our own cognitive biases as researchers; ways of integrating qualitative, quantitative, formal, and experimental research methods; and ways of modeling and testing theories on causal complexity.     

Emotional competence in children with autism: Diagnostic criteria and empirical evidence

The diagnostic criteria of autism spectrum disorders (ASD) include emotional impairments. However, scientific evidence for these impairments is varied and subtle. In this contribution, recent empirical studies that examined the emotional competence in children and adolescents with ASD are reviewed. Four aspects of emotional competence that are important to children’s daily social functioning (expression, perception, responding, and understanding) are discussed, differentiating between mentally retarded and normally intelligent children and adolescents with and without ASD in natural and structured contexts. On various accounts, the emotional impairments of children with ASD that are found in scientific studies provide a more differentiated view on the impairments suggested by the diagnostic literature. Consistent empirical findings and gaps in the field are discussed. Theoretical and clinical recommendations for assessment procedures are suggested.     

A formal framework for modelling the developmental course of competence and performance in the distance,speed, and time domain

The developmental course in the distance–speed–time domain is still a matter of debate. Traditional stage models are contested by theories of continuous development and adaptive thinking. In the present work, we introduce a formal framework for modelling the developmental course in this domain, grounding on Competence-based Knowledge Space Theory. This framework, as a more general case, widely includes assumptions and facets of previous models and covers empirical findings collected based on different experimental paradigms. By a distinction of latent competences and observable performance, model validation is not bound to a certain experimental paradigm and no one-to-one correspondence between competences and tasks is required. Therefore, the framework has the potential to bridge the gap between stage models and models of continuous development. The approach also precisely defines misconceptions, for example overgeneralization, and empirically investigates their occurrence. In the present work, we established a prototypical model for the development of understanding the distance–speed–time system. We extended this model with definitions based on different perspectives of overgeneralization. The assumptions of the model and its extensions were examined on the basis of the results of two empirical investigations using six judgment task types. The results yielded a reasonably good fit of model and data. No evidence was found for the occurrence of overgeneralization in this domain. The theoretical model and empirical results are discussed with respect to their relationship to other developmental models and theories.     

Constructivism and education: education as an interpretative transformational process

This paper provides an analysis of the ideas of John Dewey and George Herbert Mead with regards the relationship between experience, meaning, language and thinking. It discusses how experience, meaning, language and thinking are based on the creative and constructive actions of individuals. Unlike what is the case in so-called radical constructivism, it is argued that the actions of the individual should be understood in a transactional way. The paper shows the implication of a transactional constructivism for education, arguing that education is the medium in which the creative and constructive actions of individuals come together in a social environment.     

How experimental algorithmics can benefit from Mayo’s extensions to Neyman–Pearson theory of testing

Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Experimentation is necessary. The analysis of algorithms should follow the same principles and standards of other empirical sciences. This article focuses on stochastic search algorithms, such as evolutionary algorithms or particle swarm optimization. Stochastic search algorithms tackle hard real-world optimization problems, e.g., problems from chemical engineering, airfoil optimization, or bio-informatics, where classical methods from mathematical optimization fail. Nowadays statistical tools that are able to cope with problems like small sample sizes, non-normal distributions, noisy results, etc. are developed for the analysis of algorithms. Although there are adequate tools to discuss the statistical significance of experimental data, statistical significance is not scientifically meaningful per se. It is necessary to bridge the gap between the statistical significance of an experimental result and its scientific meaning. We will propose some ideas on how to accomplish this task based on Mayo’s learning model (NPT*).     

Can an agent's false belief be corrected by an appropriate communication? Psychological reasoning in 18-month-old infants

Do 18-month-olds understand that an agent's false belief can be corrected by an appropriate, though not an inappropriate, communication? In Experiment 1, infants watched a series of events involving two agents, a ball, and two containers: a box and a cup. To start, agent1 played with the ball and then hid it in the box, while agent2 looked on. Next, in agent1's absence, agent2 moved the ball from the box to the cup. When agent1 returned, agent2 told her "The ball is in the cup!" (informative-intervention condition) or "I like the cup!" (uninformative-intervention condition). During test, agent1 reached for either the box (box event) or the cup (cup event). In the informative-intervention condition, infants who saw the box event looked reliably longer than those who saw the cup event; in the uninformative-intervention condition, the reverse pattern was found. These results suggest that infants expected agent1's false belief about the ball's location to be corrected when she was told "The ball is in the cup!", but not "I like the cup!". In Experiment 2, agent2 simply pointed to the ball's new location, and infants again expected agent1's false belief to be corrected. These and control results provide additional evidence that infants in the second year of life can attribute false beliefs to agents. In addition, the results suggest that by 18 months of age infants expect agents' false beliefs to be corrected by relevant communications involving words or gestures.