Health Communication Framing： The Contribution of Weiner＇s Attribution Theory

Message framing has been shown to influence the persuasiveness of health communications. In this conceptual paper, the authors suggest that message framing can be extended to include causal attributions, and Weiner＇s Attribution Theory （Weiner＇s AT） is an appropriate theoretical framework for the study of message framing and health communications. Weiner＇s AT proposes a specific motivational sequence that may explain cognitive, emotional, and behavioral responses to message frames. Propositions regarding relationships between message frames, causal attributions, and emotional and behavioral responses are presented to guide future research. The implications of this attribution-based message-framing process for future research are discussed

The Role of the Fundamental Attribution Error in the Context of Human Resource Management

Attribution theories are well established in the field of social psychology.However,the transfer to the context of human resource management is still developing.Only recently,the understanding of the importance of psychological insights in this field has begun to grow.The research takes a closer look on the way individuals locate the causes of their actions.It can potentially influence important decisions in the context of human resource management.This article sheds light on the theoretical foundations,causes,and effects.

Research on the role of attribution in reading comprehension among Chinese EFL learners

This empirical study investigates Chinese EFL students＇ attributions in reading. The purposes ot this study are to investigate the development of Chinese EFL learners＇ attributions for their perceived success and failure in second language reading and to clarify the relationship between learners＇ reading proficiency levels and their attributions. The results show that （1） Nearly half of the university students feel ＂Just so so＂ in English reading; （2） Environmental variables such as teacher feedback, peers or classroom play an influential role in the learners＇ attribution. This paper concludes with a number of pedagogical suggestions for the teaching and learning of English reading.

Risk assessment model of tunnel water inrush based on improved attribute mathematical theory

Tunnel water inrush is one of the common geological disasters in the underground engineering construction.In order to effectively evaluate and control the occurrence of water inrush,the risk assessment model of tunnel water inrush was proposed based on improved attribute mathematical theory.The trigonometric functions were adopted to optimize the attribute mathematical theory,avoiding the influence of mutation points and linear variation zones in traditional linear measurement functions on the accuracy of the model.Based on comprehensive analysis of various factors,five parameters were selected as the evaluation indicators for the model,including tunnel head pressure,permeability coefficient of surrounding rock,crushing degree of surrounding rock,relative angle of joint plane and tunnel section size,under the principle of dimension rationality,independence,directness and quantification.The indicator classifications were determined.The links among measured data were analyzed in detail,and the objective weight of each indicator was determined by using similar weight method.Thereby the tunnel water inrush risk assessment model is established and applied in four target segments of two different tunnels in engineering.The evaluation results and the actual excavation data agree well,which indicates that the model is of high credibility and feasibility.

乘用车零售模式互联网化的影响因素及实证研究——结合归因理论、企业战略分析、宏观环境分析的视角

本文基于中国“互联网+”政策市场趋势,在具有代表性的区域市场(中国汽车保有量城市)以乘用车零售公司从业人员作为研究样本,同时结合归因理论(Attribution Theory)、企业战略分析(SWOT)、宏观环境分析(PEST)的视角,研究探索乘用车零售模式互联网化的影响因素。通过实证研究方法,既研究了资金、团队、政策等较常见的学术自变量维度,也基于市场实践发掘研究了实体店来访量这一崭新未有先例的自变量维度,在乘用车零售模式互联网化影响因素研究探索方面,特别是在自变量维度方面,具有一定程度的发掘创新与理论繁衍。

Cost-effectiveness Assessment of Commonly-used Drugs for Hepatoprotection and Enzymes Reduction Based on Decision Tree and Multi-utility Theory

Objective Drugs for hepatoprotection and enzymes reduction are widely used in China but their economic analysis has been ignored in a rather long period of time. A suitable protocol for hepatoprotection and enzymes reduction was recommended in Longhua Hospital. Methods This study was conducted as a retrospective piece. Three therapeutic protocols （compound glycyrrhizic glycoside combined with aspartic ornithine injection, compound glycyrrhizic glycoside combined with phospha- tidylcholine, and compound glycyrrhizic glycoside combined with tiopronin） were selected. Seventy inpatient cases from January 2011 to February 2012 were enrolled and divided into three groups according to different regimens. The cost effectiveness of the three groups was respectively evaluated by incremental cost-effectiveness ratios （iCERs）. A decision tree model and multi attribution utility theory were also adopted to analyze the data. Results All the three regimens exhibited good effects on protecting liver functions and reducing the levels of enzymes. Among them, the protocol of compound glycyrrhizic glycoside combined with tioproni expressed the least ICER, the lowest cost but the highest score in the multi-utility. Conclusion The therapeutic method of compound glycyrrhizic glycoside combined with tiopronin is the most cost-effective option in this study.

Examining the Factors that Influence the Use of Social Media for Disaster Management by Underserved Communities

This study examined the propensity of social media use by underserved communities by drawing on the literature on the digital divide and attribution theory.Specifically,this research explored the factors that can influence the use of social media for disaster management.The study used survey methodology to collect data and partial least squares structural equation modeling(PLSSEM)to analyze the data and test the hypotheses.The results of the study indicate:(1)that the propensity of social media use for disaster management is low for underserved communities;(2)a positive relationship between an individual’s effort and the intention to use social media for disaster management;and(3)a negative relationship between task difficulty and the intention to use social media for disaster management.The study expanded the literature on the use of social media in disaster management.The article also provides both theoretical and practical implications.

Moral Psychology of Shame in Early Confucian Philosophy

In Westem philosophy and psychology, shame is characterized as a self-critical emotion that is often contrasted with the similarly self-critical but morally active emotion of guilt. If shame is negative concern over endangered or threatened self-image （usually in front of others）, guilt is autonomous moral awareness of one＇s wrongdoings and reparative motivation to correct one＇s moral misconduct. Recently, many psychologists have begun to discuss the moral significance of shame in their comparative studies of non-Western cultures. In this new approach, shame is characterized as a positive moral emotion and active motivation for self-reflection and self-cultivation. If shame is a positive and active moral emotion, what is its moral psychological nature？ In this paper, I will analyze shame from the perspective of cultural psychology and early Confucian philosophy. Unlike many Western philosophers, Confucius and Mencius discuss shame as a form of moral excellence. In early Confucian texts, shame is not a reactive emotion of an endangered self but a moral disposition that supports a self-critical and self-transformative process of moral development.

Attribute reduction in interval-valued information systems based on information entropies

Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data. So far, there have been few studies on attribute reduction methods for interval-valued data. In this paper, we propose a framework for attribute reduction in interval-valued data from the viewpoint of information theory. Some information theory concepts, including entropy, conditional entropy, and joint entropy, are given in interval-valued information systems. Based on these concepts, we provide an information theory view for attribute reduction in interval-valued information systems. Consequently, attribute reduction algorithms are proposed. Experiments show that the proposed framework is effective for attribute reduction in interval-valued information systems.