元认知在画图表征策略和小学生数学问题解决能力中的中介作用

该研究采用自然实验和问卷调查法,对268名小学五年级学生进行画图表征策略训练,在此基础上根据策略学习情况筛选出掌握了该策略的218名学生,以这些学生为被试,探讨元认知在画图表征策略和小学生数学问题解决能力中的作用。结果表明:(1)策略学习后,小学生的画图表征策略水平和数学问题解决成绩均显著高于策略学习前。(2)画图表征策略通过元认知这一中介变量对小学生数学问题解决能力有显著的促进作用。     

个体对效价预期和风险评估的时程加工机制:来自ERP的证据

采用事件相关电位技术(ERP),通过简单赌博任务,操纵结果预期的效价(输或赢)与风险(高风险与低风险),考察了个体对结果预期阶段的效价和风险评估的脑内时程动态加工过程。脑电结果发现:(1)在N2成分上,结果预期的效价主效应显著,预期输比预期赢能够引起更大的N2波幅;结果预期的风险主效应不显著。(2)在N500成分上,效价与风险之间的交互作用边缘显著,进一步简单效应分析发现,在预期输的条件下,肯定会输的N500波幅显著大于可能会输;而在预期赢的条件下,肯定会赢与可能会赢之间的N500波幅差异不显著。这说明,在不确定决策过程中的结果预期阶段,个体可能先对结果预期的效价进行加工,然后再对风险进行评估。     

论亚当·斯密的宗教市场理论——兼论宗教管制的经济基础

亚当·斯密的宗教市场理论主要包括宗教理性选择理论、宗教自由放任理论和国际宗教管制理论。亚当·斯密的国际宗教管制理论至今仍不失其科学性与合理性。宗教人对来世的追求表明宗教经济人理性选择理论偏离了人的实际;缺乏道德感宗教的客观存在表明宗教并不当然具有道德教化功能;宗教市场的自律调节功能具有有限性,产品市场自身无法克服的诸多弊端同样存在于宗教市场,取消一切宗教管制的宗教自由放任理论不成立,宗教管制因此具有深刻的经济基础,亚当·斯密的宗教市场理论为宗教管制提供了必要的理论基础。     

医学伦理学教学的基本模式与支持系统

基于当前医学伦理学课程现状进行了教学改革;基本形成“两块教学内容、三种主要教学方法、多种教学手段相结合”的教模式.这一模式是现实而实用的;但要有效实践仍需两方面支持系统的完善;包括教师要从个人方面加强能力建设、学校要从政策方面给予保证支持.     

高职生因果定向与学业表现的关系

为了考察高职生因果定向的特点及因果定向与学生学业表现(学业成绩和专业技能)的关系。该研究以修订的一般因果定向量表为工具,在济南和淄博的三所高职抽取505名学生作为被试进行调查。结果发现:1)修订后的一般因果定向量表具有良好的信效度;2)高职生在因果定向的三个维度上得分差异显著,由高到低依次为自主定向、控制定向和非个人定向;3)自主定向显著正向预测学业表现,控制定向显著负向预测学业表现,而非个人定向对学业表现的预测作用不显著。我国高职生与国外被试的因果定向特点基本一致,说明因果定向具有一定的文化普适性。同时,不同因果定向对学业表现具有不同的预测作用,教育者有必要对学生进行因果定向的教育和引导。     

青少年攻击行为与友谊质量的交叉滞后回归分析

该研究采用问卷法,对湖北省一所初级中学二年级青少年进行了一个学年的纵向追踪研究,使用Bjorkquist等人编制的直接和间接攻击量表(DIA)以及Parker和Asher编制的友谊质量问卷(FQQ)测查青少年的身体攻击和友谊质量。然后采用二元交叉滞后回归分析法考察了初中二、三年级学生在一个学年中的攻击行为与友谊质量(总问卷及分问卷得分)的关系。结果表明,在控制了前测"肯定与关心"得分后,身体攻击显著地负向预测了"肯定与关心"得分。在控制了前测的"冲突解决策略"得分后,攻击行为边缘显著地预测了后测的"冲突解决策略"得分。同时发现,后测"身体攻击"和"冲突与背叛"不存在显著的相关。     

宗教与全球发展:一种对话路径

宗教与全球发展成为当代社会的一个重要议题,一个标志在于联合国千禧年发展目标的提出及世界宗教和精神领袖千禧年和平高峰会议。其中,由前世界银行行长及当时的坎特伯雷大主教联合发起的世界信仰发展对话,即为推动类似目标的一个重要机构。发展的目的在于人。贫困不仅包括物质的层面,也包括精神的层面。全球经济的发展需要一种伦理和价值的支撑。文化应该作为一种创新机制,参与并影响全球发展的过程。在中国,宗教是建设社会主义和谐社会的重要因素。中共十七大明确指出,要发挥宗教在社会经济发展中的重要作用。十七届六中全会则明确提出文化体制改革的目标。随着中国改革开放的进一步深入,中国对世界的影响日益加强,文化和精神的维度在社会发展和国家建设方面将扮演更重要的作用。中国模式也将对世界论坛的讨论产生一定影响。     

Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches

With increasing popularity, growth curve modeling is more and more often considered as the 1st choice for analyzing longitudinal data. Although the growth curve approach is often a good choice, other modeling strategies may more directly answer questions of interest. It is common to see researchers fit growth curve models without considering alterative modeling strategies. In this article we compare 3 approaches for analyzing longitudinal data: repeated measures analysis of variance, covariance pattern models, and growth curve models. As all are members of the general linear mixed model family, they represent somewhat different assumptions about the way individuals change. These assumptions result in different patterns of covariation among the residuals around the fixed effects. In this article, we first indicate the kinds of data that are appropriately modeled by each and use real data examples to demonstrate possible problems associated with the blanket selection of the growth curve model. We then present a simulation that indicates the utility of Akaike information criterion and Bayesian information criterion in the selection of a proper residual covariance structure. The results cast doubt on the popular practice of automatically using growth curve modeling for longitudinal data without comparing the fit of different models. Finally, we provide some practical advice for assessing mean changes in the presence of correlated data.     

What can law do for the development of bio-economy?

Bio-technology has become a new impeller to the development of the world economy since the 1970's. The development of bio-economy has two sides for mankind which calls for intervention by law. During the legislation of bioeconomy, some special principles should be esteemed and observed by legislators. It is necessary for the healthy development of bio-economy.     

Wild bearded capuchin (Sapajus libidinosus) select hammer tools on the basis of both stone mass and distance from the anvil

Contemporary optimization models suggest that animals optimize benefits of foraging and minimize its costs. For wild bearded capuchins (Sapajus libidinosus), nut-cracking entails cost related to lifting the heavy stone and striking the nut and additional cost to transport the stone if it is not already on the anvil. To assess the role of stone mass and transport distance in capuchins’ tool selection, we carried out three field experiments. In Experiment 1, we investigated whether transport distance affected choice of a tool by positioning two stones of the same mass close and far from the anvil. Capuchins consistently selected the closer stone, effectively reducing transport costs. In Experiment 2, we examined the trade-off between the cost of transport and the effectiveness in cracking by positioning two stones of different mass close and far from the anvil. Most subjects significantly preferred the closer stone, regardless of mass, whereas others preferred the heavier stone regardless of transport distance. In Experiment 3, we changed transport distance of both stones while maintaining the same distance ratios as in Experiment 2. Capuchins maintained the preferences expressed in Experiment 2, with the exception of one subject. Overall, our findings indicate that (1) individuals vary in their sensitivity to distance of transport, (2) a few meters are perceived as a substantive cost by some monkeys, and (3) monkeys’ body mass affects their decisions. We also developed a non-dimensional Preference index (P) defined as a function of the stone mass and the transport distance to describe monkey’s choice.