整合后验信息的多分属性认知诊断信效度指标

分类一致性和准确性是认知诊断评估中的重要指标,前者反映信度问题,后者反映效度问题。已有研究提出的指标均是基于二分属性,而多分属性的后验概率分布和属性边际概率分布均不同于二分属性,需要构建新指标来衡量多分属性情景下的信效度。本研究基于二分思想,构建出二元式信息指标用于计算多分属性测验中的信效度,并通过实验设计考察了新指标在多种影响因素中的表现,验证了新指标的有效性。最后,为多分属性诊断测验的编制提供了建议,并提出未来研究方向。     

Race and the Criminal Justice System Response to Sexual Assault: A Systematic Review

Prior research has consistently documented that the vast majority of sexual assault cases do not progress through the criminal justice system. However, there is less agreement in prior work on how race influences case progression, resulting in a literature frequently described as “inconsistent.” This systematic review examines all prior research that has included race as an independent variable in predicting the criminal justice system response to sexual assault (N = 34) in an effort to provide insight into seemingly disparate findings. We assess each study for the degree to which race was a focal point of interest, if and what theory was used to inform the investigation of race, how samples were drawn, and how and whose race was measured. Results illustrate that findings in prior research are not inconsistent, but rather unite to tell a nuanced story of the role of race in the criminal justice system response to sexual assault. The review demonstrates how decisions made by researchers throughout the research process can have significant impacts on reported findings, and how such findings may be used to influence policy and practice.     

关于糖尿病的几点认识

糖尿病及其并发症严重影响了人类的健康。随着科学技术的不断发展,人们对糖尿病 的认识逐步加深。目前关于糖尿病的命名、诊断分型标准和治疗原则在临床工作中逐渐显露 出其不足之处,这势必会影响人们对于糖尿病的进一步研究。本文从糖尿病的命名、诊断、 分型、治疗和糖尿病研究等方面发表了作者的看法,旨在引起大家的思考。     

心理咨询问题的三层面分类

对心理咨询面对的来访者问题从社会学、心理学和医学三个层面进行初步界定与分类,形成一个心理咨询问题的三层面分类系统。三层面分类系统包括三个层面三个等级,为来访者问题的可能原因提供多维的思考角度。重点探讨了社会层面分类,根据社会生活事件性质及其与当事人的关系分为五个方面。     

The Incompleteness of ‘Punishment as Fair Play’: A Response to Dagger

Richard Dagger (in this issue) provides perhaps the most persuasive version of a ‘fair play’ theory of criminal punishment, grounded in an attractive liberal republican political theory. But, I argue, his version of the theory still faces serious objections: that its explanation of why some central mala in se are properly criminalised is still distorting, despite his appeal to the burdens of ‘general compliance’; and that it cannot adequately explain (as it should explain) the differential seriousness and wrongfulness of different kinds of crime.

Learning from explaining: does it matter if mom is listening?

The goal of the current study was to examine whether explaining to another person improves learning and transfer. In the study, 4- and 5-year-olds (N=54) solved multiple classification problems, received accuracy feedback, and were prompted to explain the correct solutions to their moms, to explain the correct solutions to themselves, or to repeat the solutions. Generating explanations (to selves or moms) improved problem-solving accuracy at posttest, and explaining to mom led to the greatest problem-solving transfer. The study indicates that explanation prompts can facilitate transfer in children as young as 5 years and reveals that it matters if mom is listening.     

认知诊断评价中测验结构的优化设计

Q矩阵是认知诊断评价的基础和核心要素, 它反映了测验的构念和内容设计, 直接影响着测验诊断分类的效果。本文采用Monte Carlo模拟, 研究了6种属性层级关系下, 不同的Q矩阵设计对于认知诊断效果的影响。用模式判准率的均值和标准差分别从分类准确性和稳定性的角度来评价诊断效果。实验结果表明：(1) 不同属性层级关系下, 分类准确性会随着测验长度的增加而提高, 但当测验长度增加到一定程度时, 会出现“天花板效应”; (2) Q矩阵中R*的个数(NR*)会影响测验的分类准确性及稳定性：NR*越大, 测验的分类稳定性越高, 当测验长度为属性个数的整数倍, 且NR*为测验长度相对属性个数的最大奇数倍时分类准确性最高; (3) Q矩阵中除R*以外的项目考察的属性个数会随着属性层级关系的不同对测验的分类准确性和稳定性产生不同的影响。根据实验结果, 本研究提出了进行诊断评价时Q矩阵优化设计的一些建议。     

Effects of choice and relative frequency elicitation on overconfidence: further tests of an exemplar‐retrieval model

An experiment is reported in which participants rendered judgments regarding the disease states of hypothetical patients. Participants either reported likelihoods that patients had the target disease (no choice), or classified patients into disease categories and then reported likelihoods that their classifications were correct (choice included). Also, participants' likelihood judgments were made in response to either a probability probe question, or a relative frequency probe. Two distinct exemplar‐memory models were compared on their ability to predict overconfidence under these procedures. Both propose that people learn and judge by storing and retrieving examples. The exemplar retrieval model (ERM) proposes that amount of retrieval drives choice inclusion and likelihood probe effects. The alternative model assumes that response error mediates choice inclusion effects. Choice inclusion and the relative frequency probe reduced overconfidence, but the combined effects were subadditive. Only the ERM predicted this pattern, and it further provided good quantitative fits to these results. Copyright © 2003 John Wiley & Sons, Ltd.     

On Argumentation Schemes and the Natural Classification of Arguments

We develop conceptions of arguments and of argument types that will, by serving as the basis for developing a natural classification of arguments, benefit work in artificial intelligence. Focusing only on arguments construed as the semantic entities that are the outcome of processes of reasoning, we outline and clarify our view that an argument is a proposition that represents a fact as both conveying some other fact and as doing so wholly. Further, we outline our view that, with respect to arguments that are propositions, (roughly) two arguments are of the same type if and only if they represent the same relation of conveyance and do so in the same way. We then argue for our conceptions of arguments and argument types, and compare them to alternative positions. We also illustrate the need for, and some of the strengths of, our approach to classifying arguments through an examination of aspects of two prominent and recent attempts to classify arguments using argumentation schemes, namely those of M. Kienpointner and D. Walton. Finally, we clarify how our conception of arguments and of argument types can assist in developing an exhaustive classification of arguments.     

材料的呈现方式对大学生分类活动影响的研究

以60名视力、智力均正常的大学生为被试,采用维度特征互不相同的三套图片材料和三种材料呈现方式,以被试分类的结果和解释的理由为依据,用一维特征分类、整体相似性分类、两阶段策略分类和其他分类等作为因变量指标,采用不完全被试内设计进行实验。用SPSS 8．0 for windows对实验结果进行处理。结果：在A方式下,被试倾向于按材料的一维特征分类;在B方式下,被试倾向于按材料的整体相似性分类;在C方式下,被试倾向于按两阶段策略分类。