医疗信息的风险感知

从信息加工视角探究个体对医疗信息的风险感知过程, 通过医疗信息来源、医疗信息内容与呈现形式和信息加工主体三个方面归纳其影响因素, 并基于经验-分析式加工理论和字面-要义加工理论探讨医疗信息风险感知的认知机制。今后研究可更注重医疗信息风险感知的通用研究与特殊主题研究的平衡、风险感知测量工具的规范性与特异性的结合, 并立足于中国医疗体系建立具有循证依据的预防措施和配套政策。     

直觉和分析在不同信息获取与呈现方式下对多特征目标判断质量的影响

采用多特征目标判断任务,考察了不同信息获取方式与信息呈现方式条件下,直觉和分析思维模式对判断质量的影响。结果发现：（1）在多特征目标判断任务中,直觉思维比分析思维更有效;（2）直觉型决策者运用直觉思维的判断质量比感觉型决策者更高;（3）归类组块的信息呈现方式能够有效提升决策者运用直觉思维的判断质量;（4）思维模式、信息获取方式与信息呈现方式对多特征目标的判断质量存在三阶交互作用,归类组块的信息呈现方式使直觉型决策者运用直觉思维的判断质量最高,而运用分析思维的判断质量低于感觉型决策者;归类组块排列信息时,直觉型决策者运用分析思维的判断质量低于信息随机排列时的水平。     

Influence of individual differences in working memory on the continued influence effect of misinformation

ABSTRACT

Misinformation often continues to influence people’s cognition even after being retracted (the continued influence effect of misinformation, CIE). The current research aimed to investigate whether the individual differences in the central executive function of WM and updating could influence the CIE of misinformation with varying relevance. The results showed that the individual differences in central executive function could significantly affect the CIE, especially for the high-relevant misinformation. While the individual differences in the updating ability had a weaker impact on the CIE in general and only negatively related to the CIE for the low-relevant misinformation. The study extends the understanding of the relationship between individual differences and the CIE from previous studies, which is in line with the mental-model-updating hypothesis, and offers a preliminary clue for identifying the persons vulnerable to the CIE of misinformation in the real world.     

Concise formulas for the standard errors of component loading estimates

Concise formulas for the asymptotic standard errors of component loading estimates were derived. The formulas cover the cases of principal component analysis for unstandardized and standardized variables with orthogonal and oblique rotations. The formulas can be used under any distributions for observed variables as long as the asymptotic covariance matrix for sample covariances/correlations is available. The estimated standard errors in numerical examples were shown to be equivalent to those by the methods using information matrices.The author is indebted to anonymous reviewers for the corrections and suggestions on this study, which have led to improvements of earlier versions of this article.     

关于胚胎干细胞研究的一场伦理之争

关于“人兔细胞融合”的伦理之争,主要围绕“人兔细胞融合”实验是否违背伦理,要不要经过知情同意,以及科学技术与伦理道德的关系等问题而进行。这场讨论是正常的,健康的,有益的,倘能加以认真总结,将有助于推进学术争鸣。     

Longing for Life Extension: Science Fiction and Late Life

Rejuvenescence has long been a topic of legend and medicine. As the body became the property of medical science, speculative fiction asked how fantastic experiments with bodies would affect the life course. In science fiction, medical breakthroughs promise or threaten to forestall or even reverse the decline from midlife through old age to senility and decrepitude. Responding to debates over evolution, eugenics, and scientific experimentation with human and animal subjects, rejuvenescence novels such as Bruce Sterling's Holy Fire (1996) ask readers whether they desire long life or heightened quality of life; the consolations of age or the hungers of youth; short-lived intensity or perpetual ennui.     

Conflicts of interest in science in Armenia

The author describes problems facing Armenia in reorganization of the structure of science in the post-socialist era with the aim of utilizing limited state resources more efficiently by reducing the number of separate scientific institutes, concentrating on essential core subjects required by the nation and encouraging all other projects to compete in the international arena for grant sponsorship. An earlier version of this paper was presented at an International Conference on “Conflict of Interest and its Significance in Science and Medicine” held in Warsaw, Poland on 5–6 April, 2002.     

The continuing need for disinterested research

For scientific knowledge to be trustworthy, it needs to be dissociated from material interests. Disinterested research also performs other important non-instrumental roles. In particular, academic science has traditionally provided society with reliable, imaginative public knowledge and independent, self-critical expertise. But this type of science is not compatible with the practice of instrumental research, which is typically proprietary, prosaic, pragmatic and partisan. With ever-increasing dependence on commercial or state funding, all modes of knowledge production are merging into a new, ‘post-academic’ research culture which is dominated by utilitarian goals. Growing concern about conflicts of interest is thus a symptom of deep-seated malaise in science and medicine. An expanded version of this paper was presented at an International Conference on “Conflict of Interest and its Significance in Science and Medicine” held in Warsaw, Poland on 5–6 April, 2002.     

The use of genetic test information in insurance: The argument from indistinguishability reconsidered

In the bioethical literature, discrimination in insurance on the basis of genetic risk factors detected by genetic testing has been defended and opposed on various ethical grounds. One important argument in favour of the practice is offered by those who believe that it is not possible to distinguish between genetic and non-genetic information, at least not for practical policy purposes such as insurance decision-making. According to the argument from indistinguishability, the use of genetic test information for insurance purposes should be permitted, because genetic test information is no different from non-genetic medical information in any relevant respect, therefore it would be inconsistent to prohibit the former whilst permitting the latter. This paper discusses and defends this argument and suggests a new, more tenable foundation.     

Getting the Big Picture in Community Science: Methods That Capture Context

Community science has a rich tradition of using theories and research designs that are consistent with its core value of contextualism. However, a survey of empirical articles published in the American Journal of Community Psychology shows that community scientists utilize a narrow range of statistical tools that are not well suited to assess contextual data. Multilevel modeling, geographic information systems (GIS), social network analysis, and cluster analysis are recommended as useful tools to address contextual questions in community science. An argument for increased methodological consilience is presented, where community scientists are encouraged to adopt statistical methodology that is capable of modeling a greater proportion of the data than is typical with traditional methods.