午睡剥夺对科学发明问题解决中的原型启发效应的影响

选取生态效度较高的科学发明问题材料(分为高启发量与低启发量两类),采用“1对1”和“8对8”的“学习-测试”实验范式,考察午睡剥夺对科学发明问题解决中的原型启发效应的影响.结果发现:午睡剥夺处理、范式(“1对1”和“8对8”)和材料启发量高低在原型激活率和问题解决率上主效应均显著,午睡剥夺和范式以及启发量高低在问题解决率以及原型激活率上的交互作用不显著.这一结果说明,午睡剥夺影响科学发明问题解决中的原型启发效应,这种影响是通过对启发信息应用和原型激活两个加工过程的影响而实现的.     

情境与互动：人际互倚及其模

人际互倚理论主要关注群体中个体之间的相互依附关系。文章介绍了互倚理论的历史发展,论述了人际互倚理论发展中研究方法的改进：从结果矩阵到转换细目表。方法的改进推动了重视情境的人际互倚情境模式的发展,使人际互倚理论从研究静态人际互倚关系转向研究动态人际互倚的转换过程。该文还对人际互倚研究进行了评价和展望     

Dispositional and comparative optimism interact to predict avoidance of a looming health threat

Research indicates that when confronted with a health threat, individuals high in both dispositional and comparative optimism employ a more avoidant style of coping than individuals high in dispositional but low in comparative optimism. We examined the hypothesis that threat distance moderates this interactive optimism association. In two studies, participants were randomly assigned to a looming or distant threat condition. Study 1 revealed that in the looming threat condition, participants high in both forms of optimism were more likely to minimise the threat and less inclined to seek additional health information relative to participants high in dispositional but low in comparative optimism. In Study 2, the same interaction pattern emerged on a measure of psychological abstraction suggesting these variables combine to alter broad information processing strategies. Implications for considering multiple forms of optimism when delivering health status information are discussed.     

计划行为理论述评

计划行为理论是社会心理学中最著名的态度行为关系理论,该理论认为行为意向是影响行为最直接的因素,行为意向反过来受态度、主观规范和知觉行为控制的影响。计划行为理论在国外已被广泛应用于多个行为领域的研究,并被证实能显著提高研究对行为的解释力和预测力。文章对这一理论进行了全面概述,包括理论的提出、内涵、测量方法以及理论研究的新进展,并指出了理论仍存在的问题和今后的研究方向     

Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings

The use of empirical prior information about participants has been shown to substantially improve the efficiency of computerized adaptive tests (CATs) in educational settings. However, it is unclear how these results translate to clinical settings, where small item banks with highly informative polytomous items often lead to very short CATs. We explored the risks and rewards of using prior information in CAT in two simulation studies, rooted in applied clinical examples. In the first simulation, prior precision and bias in the prior location were manipulated independently. Our results show that a precise personalized prior can meaningfully increase CAT efficiency. However, this reward comes with the potential risk of overconfidence in wrong empirical information (i.e., using a precise severely biased prior), which can lead to unnecessarily long tests, or severely biased estimates. The latter risk can be mitigated by setting a minimum number of items that are to be administered during the CAT, or by setting a less precise prior; be it at the expense of canceling out any efficiency gains. The second simulation, with more realistic bias and precision combinations in the empirical prior, places the prevalence of the potential risks in context. With similar estimation bias, an empirical prior reduced CAT test length, compared to a standard normal prior, in 68% of cases, by a median of 20%; while test length increased in only 3% of cases. The use of prior information in CAT seems to be a feasible and simple method to reduce test burden for patients and clinical practitioners alike.     

Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods

Test equating is a statistical procedure to ensure that scores from different test forms can be used interchangeably. There are several methodologies available to perform equating, some of which are based on the Classical Test Theory (CTT) framework and others are based on the Item Response Theory (IRT) framework. This article compares equating transformations originated from three different frameworks, namely IRT Observed-Score Equating (IRTOSE), Kernel Equating (KE), and IRT Kernel Equating (IRTKE). The comparisons were made under different data-generating scenarios, which include the development of a novel data-generation procedure that allows the simulation of test data without relying on IRT parameters while still providing control over some test score properties such as distribution skewness and item difficulty. Our results suggest that IRT methods tend to provide better results than KE even when the data are not generated from IRT processes. KE might be able to provide satisfactory results if a proper pre-smoothing solution can be found, while also being much faster than IRT methods. For daily applications, we recommend observing the sensibility of the results to the equating method, minding the importance of good model fit and meeting the assumptions of the framework.     

对当前量化绩效考核的反思

通过文献研究和哲学反思等方法对高校和医疗卫生系统的量化绩效考核进行研究。认为绩效考核不能偏离组织使命,不能弱化职业精神。如何在职业精神和组织使命中一些重要内容难以进入量化指标的情况下合理设计绩效考核体系值得深思。其次,在科研绩效考核中,《科学引文索引》(science citation index,SCI)作为科研论文的产出指标有一定合理性,但也不能唯SCI论;要重视基金,因为它反映了计划性科学的价值,但也不能唯基金论;要重视量化评估,却不能唯量化评估。要保证绩效考核正确导向,就必须纠正泛行政化和官本位倾向,就必须坚持科学化、推进民主化。     

医患关系内涵及模式:基于社会交换理论的研究

梳理了国外医患关系的相关文献,基于社会交换理论视角探析医患关系的内涵,深入剖析了医疗质量和患者信任是构成医患关系的两个重要因子,并进一步构建了简约化的四类医患关系模式,即和谐医患关系模式、改善医患关系模式、不善医患关系模式和紧张医患关系模式。认为医患关系的建立是一个动态的过程,在诊疗过程中医患关系模式之间是可以相互转换的,患者信任是构建和谐医患关系的基础,为我国和谐医患关系的建立进行了理论上的探索。     

基于社会资本理论的社区慢性病防治管理策略浅析

慢性非传染性疾病对居民健康的威胁与日俱增。预防和控制慢性病的蔓延是卫生工作者和公共卫生系统面临的挑战, 也关系到国家社会经济能否持续健康的发展。在社会资本理论这一全新视角下, 分析如何构建社区慢性病防治体系, 整合社会资源, 改善人际网络关系。社区慢性病防治体系的建立将为社会资本的重组和再生形成助推器, 并有助于实现二者的相互促进, 同时, 对提高医疗资源的使用效率, 减轻患者及其家属的经济负担, 建立互信互利的社区慢性病防治平台具有重要的现实指导意义。