儿童反语理解的心理机制

反语是指使用与本意相反的字面形式表达本意的一种修辞形式,在儿童言语发展领域中是一种难度较大的认知对象。该对儿童在反语理解任务中的困难根源进行了探讨,介绍了目前关于儿童反语理解的心理机制研究的两种主要途径,一是采用成人反语识别理论去解释儿童反语理解的心理过程,二是从二阶心理理论角度开展的解释儿童反语理解的心理机制的尝试,最后在暗示假装理论和二阶心理理论的框架下对现有的研究证据进行了整合的讨论,并对未来研究提出了建议。     

先前知识、超文本层次深度和类型对低结构化信息搜索的影响

探讨先前知识、超文本层次深度和类型对低结构化中文信息搜索的影响。采用2(先前知识)×8(文本组织形式)的被试间设计,以平均搜索时间和迷路指数为因变量。结果发现:(1)先前知识对线性文本和超文本(尤其是层次型超文本)的搜索均有利;(2)随着层次深度的增加,对超文本的搜索时间显著增加,迷路指数也呈增加的趋势;(3)搜索线性文本的迷路指数显著低于超文本;(4)不同类型超文本的搜索绩效基本无显著差异。因此,先前知识、层次深度对超文本信息搜索的影响比超文本类型和信息的结构化水平更重要。     

青少年吸烟行为的预防与干预

以两所普通中学的573名初一、初二、高一和高二的学生为被试,随机将每个年级的两个斑分成干预组和控制组,干预组接受名为“远离香烟”(SAFT)的预防和干预方案,方案包括四个成分：即健康教育、识别并抵制同伴压力、大众媒体影响以及吸烟认知,以达到延缓或减少青少年吸烟行为的目的。方案共包括7次活动,每次45分钟,每周开展一次活动,共持续7周。结果发现：（1）干预组后测中的上个月吸烟行为比前测降低了5．2％,而控制组后测吸烟行为则上升了2．3％。同样的趋势表现在不同性别、不同年级的青少年身上;(2)预防和干预方案对减少干预组偶尔吸烟者的吸烟行为尤其有效;(3)在吸烟认知的转变上,干预组后测比前测更显著或接近显著地反对吸烟会带来友谊和形象等方面的好处,更赞同吸烟的危害性。而控制组则正相反;(4)方案可以有效地提高干预组的抵制技能;(5)在所有的干预成分中,只有后测吸烟与友谊的认识以及吸烟危害认识可以显著地预测干预组青少年的后测吸烟行为,而没有一个变量可预测控制组后测吸烟行为;(6)预防和干预条件通过后测吸烟好处、吸烟危害认识间接地对青少年后测吸烟行为产生影响。     

Lay rationalism and inconsistency between predicted experience and decision

Decision‐makers are sometimes depicted as impulsive and overly influenced by ‘hot’, affective factors. The present research suggests that decision‐makers may be too ‘cold’ and overly focus on rationalistic attributes, such as economic values, quantitative specifications, and functions. In support of this proposition, we find a systematic inconsistency between predicted experience and decision. That is, people are more likely to favor a rationalistically‐superior option when they make a decision than when they predict experience. We discuss how this work contributes to research on predicted and decision utilities; we also discuss when decision‐makers overweight hot factors and when they overweight cold factors. Copyright © 2003 John Wiley & Sons, Ltd.     

宪政经济学:一个应当科学对待的研究领域

对经济转轨的渐进改革和休克震荡途径之争已经深入到宪政经济学的层面,但是,无论是基本理论还是政策分析的应用,宪政经济学的领域中都存在一些重大的显示的和隐含的分歧。本文试图在理论和应用两个层面上梳理争论各方对若干重要概念的分歧之处,同时提出自己的粗浅理解,目的在于为进一步的深入系统研究廓清地基。     

十年披荆独辟蹊径——读樊光春研究员新著《西北道教史》

目前,我国的道教研究日趋兴盛,在道教历史和思想史的研究领域都取得了突破性进展.但区域性道教的研究仍是我国道教研究的薄弱环节和空白地带,近二十年来鲜有著作问世.     

巴门尼德残篇中的Aletheia

本文分析了巴门尼德残篇中出现的Aletheia这个概念,认为通常在与“意见”相对立的“真理”的意义上理解Aletheia是不合适的。这个概念与“是”、“是者”直接相关,甚至可以作为“是者是”这个命题的主词。在巴门尼德的残篇中Aletheia显示了它的独特性,既是女神话语的一种绝对担保,又在一种典型的古希腊式的论辩气氛中维持着自身的自满自足,为其后的思想开辟出一条新的道路。文章借用海德格尔的视野论述了Aletheia这个问题在思想上显示出来的重要性,并试图将“是者是”这个命题所道出的“同一性”摆置到其源出的位置上去。     

Can a Supportive Workplace Impact Employee Resilience in a High Pressure Performance Environment? An Investigation of the Chinese Banking Industry

Resilience is one of the positive emotions that will enhance employees’ ability to cope in adverse conditions, such as work intensification, organisational change, and work stress. Despite growing research interest in the employee resilience area, there is limited knowledge of the process through which critical social support at workplaces, such as supportive leadership and co-worker support, affects employees’ ability to cope in challenging situations. This study, underpinned by the theory of conservation of resources and social cognitive theory, examines the role of supportive leadership and co-worker support in employee resilience, and how this may be moderated by work pressures in the context of the Chinese banking industry. Using a sample of 2,025 Chinese banking workers, we tested four hypotheses. Our findings demonstrate that supportive leadership and co-worker support are positively associated with employee resilience. High work pressure moderates the relationship between both supportive leadership and co-worker support and employee resilience, such that the relationship between these conditions is stronger when perceived performance pressure is high. Our study raises important implications for both the theoretical development of employee resilience and for management practices with respect to fostering employee resilience in organisations.     

A latent topic model with Markov transition for process data

We propose a latent topic model with a Markov transition for process data, which consists of time-stamped events recorded in a log file. Such data are becoming more widely available in computer-based educational assessment with complex problem-solving items. The proposed model can be viewed as an extension of the hierarchical Bayesian topic model with a hidden Markov structure to accommodate the underlying evolution of an examinee's latent state. Using topic transition probabilities along with response times enables us to capture examinees' learning trajectories, making clustering/classification more efficient. A forward-backward variational expectation-maximization (FB-VEM) algorithm is developed to tackle the challenging computational problem. Useful theoretical properties are established under certain asymptotic regimes. The proposed method is applied to a complex problem-solving item in the 2012 version of the Programme for International Student Assessment (PISA).