社会阶层分化视角下医患信息行为对医患关系的影响

目前社会阶层分化进程中的医患关系比较紧张,医患信息行为起了很大作用.由于历史原因多数医师未能认识到医患信息行为对医患沟通及医患关系的影响.患者作为医疗信息掌握的弱势群体,其对从医师处获得信息的依赖将长期存在,医师与患者信息行为必然相互影响.针对信息行为建立相应的培训及评价机制是十分必要的.     

Dissociations in Visual Attention Deficits among Persons with Mild Cognitive Impairment

ABSTRACT

Impairments in visual attention and visual information processing have been identified as part of the neuropsychological features of Alzheimer's disease (AD), even in its earliest stages. There is increasing recognition that these deficits may be selective rather than global, with some attentional subtypes being more vulnerable than others. The few studies that have investigated attentional deficits in mild cognitive impairment (MCI), a putatively prodromal phase of AD, have not satisfactorily addressed the possible selectivity in attentional deficits in MCI. This study examined potential dissociations in visual attention deficits in MCI using a measure that assesses simple, divided, and selective attention. The results indicated a hierarchy of attentional impairments, with divided attention being the most affected and simple attention the least. Among participants with MCI, 53% showed evidence of impairment in divided attention compared to 19% of controls (OR = 4.81, p < .001). Poorer visual attention was also associated with poorer overall cognitive status. The implications of these findings for early identification of MCI, prevention of functional decline in MCI, and delay/reversal of cognitive degradation in MCI are discussed.     

A tutorial on adaptive design optimization

Experimentation is ubiquitous in the field of psychology and fundamental to the advancement of its science, and one of the biggest challenges for researchers is designing experiments that can conclusively discriminate the theoretical hypotheses or models under investigation. The recognition of this challenge has led to the development of sophisticated statistical methods that aid in the design of experiments and that are within the reach of everyday experimental scientists. This tutorial paper introduces the reader to an implementable experimentation methodology, dubbed Adaptive Design Optimization, that can help scientists to conduct “smart” experiments that are maximally informative and highly efficient, which in turn should accelerate scientific discovery in psychology and beyond.     

Sex Roles in Management: The Impact of Varying Power of Speech Style on Union Members' Perception of Satisfaction and Effectiveness

Effective management has traditionally been associated with men and masculine characteristics. In this study, I focused on manager communication, specifically the perceived effects of stereotypical gender/power speech styles. Union members viewed and rated a male and a female manager on videotape using three gender/power speech styles: stereotypical masculine (powerful), stereotypical feminine (powerless), and mixed gender/power. Union respondents judged both the male and female manager using the mixed gender/power speech style as most effective and as being associated with the most satisfied employees.     

Infostorms

It has become a truism that we live in so‐called information societies where new information technologies have made information abundant. At the same time, information science has made us aware of many phenomena tied to the way we process information. This article explores a series of socio‐epistemic information phenomena resulting from processes that track truth imperfectly: pluralistic ignorance, informational cascades, and belief polarization. It then couples these phenomena with the hypothesis that modern information technologies may lead to their amplification so as to give rise to what are called “infostorms.” This points to the need for studying further the exact relations between information technologies and such infostorms, as well as the ways we may design technologies to avoid being misled away from what we have good reasons to believe.     

Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation

Often when participants have missing scores on one or more of the items comprising a scale, researchers compute prorated scale scores by averaging the available items. Methodologists have cautioned that proration may make strict assumptions about the mean and covariance structures of the items comprising the scale (Schafer &; Graham, 2002 Schafer, J.L., &; Graham, J.W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Graham, 2009 Graham, J.W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549–576.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Enders, 2010 Enders, C.K. (2010). Applied missing data analysis. New York, NY: Guilford Press. [Google Scholar]). We investigated proration empirically and found that it resulted in bias even under a missing completely at random (MCAR) mechanism. To encourage researchers to forgo proration, we describe a full information maximum likelihood (FIML) approach to item-level missing data handling that mitigates the loss in power due to missing scale scores and utilizes the available item-level data without altering the substantive analysis. Specifically, we propose treating the scale score as missing whenever one or more of the items are missing and incorporating items as auxiliary variables. Our simulations suggest that item-level missing data handling drastically increases power relative to scale-level missing data handling. These results have important practical implications, especially when recruiting more participants is prohibitively difficult or expensive. Finally, we illustrate the proposed method with data from an online chronic pain management program.     

Organisms,machines, and societies: From the vertical structure of adaptability to the management of information

The adaptability of organisms and human societies depends on the synergistic orchestration of processing modes at many different levels of organization, each with unique informational characteristics. Digital information technology is a narrow transect of this spectrum. Adaptability theory provides a tool for analyzing the interactions between these fundamentally different modes of processing and for delineating the factors that can lead to either positive or negative consequences for human life.     

Structural and functional information—an evolutionary approach to pragmatic information

The paper starts with a critics of the potential information which is related to the statistical entropy. In order to include the syntactic and semantic aspects of information, we propose a distinction between structural and functional information, instead. Structural information represents the structural determination of a system state, it measures the content of information, as given by the material structure. Functional information, on the other hand, represents the operational closure of the system, it could be e.g. an algorithm which activates and interprets the existing structural information.

From an evolutionary point of view, pragmatic information is generated by an interplay of structural and functional information. This leads to a new insight into the concept of pragmatic information, which is not an invariant of evolution, but must be steadily re‐generated.

The active role of information in a self‐organization process is demonstrated in a model of artificial agents. It is shown by means of computer simulations that the feedback of already existing information on the generation of new information performs analogies to the creation of a collective memory.     

The paradox of evolution

In the second (and expanded) version of Origin of the Species, Darwin introduces the term “advanced progressive development” in an attempt to describe the development of the more complex species from the simpler ones. More than 100 years have passed since Darwin tried to qualify and conceptualize the directional question of evolution, and very little progress has been made regarding the subject. The appearance of the species, from the simple to the more complex, is today an empirical fact, one which is no longer dependent upon any theory, including that of Darwin. This work examines the subject of advanced development in evolution by attempting to answer a few basic questions: What parameters may be used to evaluate complexity? Can any rules or order be identified as to the development of the species? Is the mechanism of “natural selection” sufficient to explain the direction or ‘purpose’ of evolution? Can the human race be included within the “rules” of Darwin's evolutionary theory?

The purpose of this essay is to develop and represent a new conceptual framework. Through this, it will be possible to offer a principle answer to all four questions.