特征框架效应的心理机制与影响因素

特征框架效应是指当分别以积极框架和消极框架来描述给定情境中某一事物或事件的关键特征时, 一般情况下人们更偏好以积极框架来描述其关键特征的事物或事件的现象。特征框架效应广泛的存在于消费、医学及政治等领域。目前, 它的解释机制主要包括效价加工的认知机制、参照依赖、查询理论以及认知神经机制。它的影响因素主要包括经验、人格特质、计算能力以及认知闭合需要等。未来的研究应该从深入探索特征框架效应的产生根源和影响因素, 拓展其应用研究, 深入探索偏好消极框架下的特征框架效应以及探讨该现象与其它现象之间的关系等五方面展开。     

计算机化自适应测验在认知诊断中的应用

作为认知诊断与计算机化自适应测验相结合的产物, 认知诊断计算机化自适应测验(Cognitive Diagnostic Computerized Adaptive Testing, CD-CAT)是对被试知识状态的自适应。它既有传统CAT所面临的普遍性问题, 也有在认知诊断中遇到的特殊问题：由于认知诊断中涉及属性这一概念, CD-CAT与传统CAT有很大的差别。本文紧紧围绕属性引起的差异, 分别从认知诊断模型、题库建设、起始规则、选题策略、被试知识状态估计和终止规则等几部分详细介绍CD-CAT的研究进展和存在的问题。     

工作记忆表征捕获眼动中的颜色优先性

刺激属性所具有的引导效力在工作记忆表征自上而下地引导注意捕获过程中起重要作用, 已有研究表明工作记忆表征的颜色属性在引导注意时具有一定的优势。研究采用工作记忆任务与视觉搜索任务相结合的双任务范式, 结合眼动追踪技术, 通过设置具有较强引导效力的颜色属性与朝向属性进行直接竞争的实验条件, 进一步考察工作记忆表征的颜色属性是否依然具有优先性。实验1发现工作记忆表征的颜色属性与朝向属性同时竞争眼动捕获时, 颜色属性表现出较强的优势, 而朝向属性单独呈现时并未表现出任何捕获效应。实验2与3进一步证实了颜色属性捕获眼动的优先性, 即当颜色属性在面临作为靶子属性的朝向属性的竞争时, 依然能捕获更多的注视点。这些结果直接证实了工作记忆表征的颜色属性在工作记忆表征的捕获眼动的过程中具有较强的引导效力, 相对于其他刺激属性(如朝向、形状)更具有优先性。     

An experience sampling approach to emotion regulation: Situational suppression use and social hierarchy

Whereas past research has examined the use of emotion regulation strategies in terms of individual differences or responses to experimental manipulations, this research takes a naturalistic and repeated-measures approach to examine suppression use in specific situations. Using an experience sampling design, we find evidence across two samples (total N = 215) that (1) there was substantial within-person variation in suppression use, (2) the situational use of suppression was explained by situational differences in extraversion and social hierarchy, and (3) when used in contexts in which people felt they were low in social hierarchy, the negative relationship between suppression and well-being was attenuated. These findings suggest there are contexts in which suppression use may not be maladaptive, and demonstrate the benefits of studying emotion processes in real-life.     

Those Were the Best of Times,and Then…

ABSTRACT

Rachel T. Hare-Mustin describes a career of feminist activism in academic life, the professions, and clinical practice in the 1970s and 1980s. She has been an advocate for changes in professional ethics and improving conditions for women. Her primary areas of influence have involved applying feminist theory to the study of gender and pointing out that the sex role model of gender differences has an inherent bias that overlooks the gender hierarchy. Women’s voices are silenced, not only in the process of therapy, but in the wider society as well.     

粗糙集在项目认知属性标定中的应用

认知诊断是新一代测量理论的核心, 对形成性教学评估具有重要意义。项目认知属性标定是认知诊断中一项基础而重要的工作,现有的项目认知属性辅助标定方法的研究工作很少, 并且在应用上存在诸多局限。课堂评估是认知诊断应用的理想场所,但课堂评估中项目的选取具有随意性, 教师难以在短时间内准确标识项目认知属性。本研究首次提出采用粗糙集方法对项目认知属性进行标定, 该方法无需太多被试和项目, 亦无需已知项目参数, 且能当场诊断出结果, 适于采用纸笔测验的课堂评估。通过Monte Carlo模拟研究表明：采用粗糙集方法能迅速地对项目认知属性进行标定, 并具有较高的标定准确率; 而且, 项目认知属性越少、或被试估计判准率越高、或失误率越小则项目认知属性标定的准确率越高。粗糙集方法的引入, 对拓展认知诊断的应用范围, 真正实现其辅助性教学功能, 具有重要作用。     

属性不等权重的多级评分属性层级方法

本文给出基于属性不等权重的等级反应模型(Grade Response Model, GRM)的属性层级方法(Attribute Hierarchy Method, AHM), 简记为属性不等权重的GRM-AHM。在属性层级结构下, 本文利用贝叶斯网与最小二乘两种方法, 提出了被试掌握属性的条件概率与属性权重的计算方法, 发现并解决了属性在不同的项目内权重有可能不相等的问题。本研究进一步将认知诊断推广到多级评分的情形。试验证明, 属性不等权重的GRM-AHM具有较高的判准率。     

重参数化的多分属性诊断分类模型及其判准率影响因素

多分属性比传统的二分属性提供更多更详细的诊断反馈信息, 符合对知识技能的多水平要求, 具有较好的应用前景。本文首先介绍了多分属性和多分Q矩阵的概念; 之后重参数化了3个分别满足连接、分离和补偿缩合规则的多分属性诊断分类模型并研究了其判准率影响因素, 结果发现它们的判准率(1)均随多分属性数量的增加而降低, 建议实际使用中不宜高于5个; (2)均随多分属性的最高水平数增加而降低, 建议实际使用中不宜高于4水平; (3)均随多分属性间统计相关性增加而增加, 但影响不大; (4)受多分属性层级结构的影响较大; (4)受被试量影响不大; (5)均随题目数量增加而增加且影响较大。最后, 针对“多分属性与多级评分的关系”和“多分属性与二分属性之间的关系”这两个问题进行了讨论。以期为实证研究者提供相关的理论支持和使用建议。     

不确定归类的类别等级一致性限制与分离

该文以大学生被试,实验考察在集中呈现类别成员信息的非对齐类别等级结构条件下的不确定归类。实验结果表明,对个体的不确定归类会受类别的上下级包含关系限制而保持等级一致性,导致出现下级归类错误或上级归类错误;而对群体的不确定归类不会受类别上下级包含关系限制而保持等级一致性,而是与类别层次的实际分布相一致,出现上下级归类的分离。     

ANIMALS AS KIN: THE RELIGIOUS SIGNIFICANCE OF MARC BEKOFF'S WORK

Abstract. Although the disciplines of religion and science often may seem to be at cross purposes with each other, some individuals are attempting to bridge the gap, particularly with regard to animals. Cognitive ethologist Marc Bekoff, who studies animals in their natural habitat, has addressed in his work the implications of the findings of animal study for religion and ethics. I provide here an overview of some of his most important ideas for the study of religion and animals. Bekoff argues that the differences between humans and animals are primarily ones of degree rather than kind and that our similarities are greater than our differences‐and that this reality should influence our actions. I explore three issues in particular. First, Bekoff's work, with his view of evolution, challenges the traditional Christian hierarchy of beings. Second, this evolutionary connection needs to move us in the direction of modifying our treatment of animals to make it more ethical. Third, our understanding of and relationship with animals can deepen our own spirituality. Applying some of Bekoff's findings to our religious and ethical understandings of and treatment of animals can move us closer to the peaceable kingdom toward which we all strive.