论坛客观性与网络口碑接收者的态度

研究了论坛客观性如何影响看帖者对帖子所推荐产品的态度, 及其影响的内在机制和边界条件。结果表明：当论坛不客观时, 看帖者对产品的态度较差, 当论坛比较客观时, 看帖者对产品的态度较好;说服知识在此过程中起中介作用;品牌强度、看帖者过去对品牌的满意度、跟帖者与楼主的熟悉程度会调节论坛客观性对看帖者态度的影响, 当品牌强度相对较弱、看帖者过去对品牌相对不满意、跟帖者与楼主不熟悉或跟帖者与楼主的意见不完全一致时, 论坛客观性显著影响看帖者的态度。     

Trait impulsivity and callous-unemotional traits as predictors of inhibitory control and risky choices among high-risk adolescents

Trait impulsivity and callous-unemotional traits are associated with behavioural problems among high-risk adolescents. While both are known to influence behaviour, the nature of their expression in high-risk behaviours, particularly those related to inhibitory control, is not well understood. In the current, preliminary study, we examined whether and how these traits predicted deficits in behaviour driven by bottom-up, automatic versus deliberate, top-down inhibitory processes among high-risk adolescents. Two go/no-go task variants, emotional and non-emotional, were used to assess reactive response inhibition, and the Balloon Analogue Risk Task was used to assess the ability to resist deliberate risky choices. The results showed that the two types of self-reported trait measures were differentially associated with performance on the two types of behavioural inhibition tasks. Trait impulsivity predicted non-emotional inhibitory control whereas callous-unemotional traits predicted risky choices. The results also showed that the emotions task elicited slower reaction times and higher false alarm rates than did the letters task, and that participants had greater difficulty inhibiting responses to negatively than to positively valenced no-go stimuli. While preliminary, the results suggest that the interplay between trait impulsivity and callous-unemotional traits is an important determinant of inhibitory behaviour in this high-risk adolescents.     

When an academic culture based on self-enhancement values undermines female students’ sense of belonging,self-efficacy,and academic choices

ABSTRACT

Although overall women are better represented in higher education than men, women’s psychological experience in various academic contexts is qualified by a decreased sense of belonging and academic self-efficacy, including in fields where they are not targeted by a negative stereotype. To clarify this phenomenon, we develop the hypothesis of a mismatch between female students’ values and the values associated with success in the increasingly selective realm of higher education. We argue that, whatever the fields of study, these values are self-enhancement values (competitiveness, self-affirmation, dominance). Three studies showed that when success was depicted in terms of self-enhancement values, women – but not men – expressed a lower sense of belonging, had lower self-efficacy and were less likely to pursue a given academic opportunity both in STEM and non-STEM fields of study. These effects did not appear in an academic context depicting success as being rooted in self-transcendence values (helpfulness, cooperation, benevolence).     

Spatio-temporal accident analysis for accident prevention in relation to behavioral factors in driving: The case of South Anatolian Motorway

Analyzing the pattern of traffic accidents on road segments can highlight the hazardous locations where the accidents occur frequently and help to determine problematic parts of the roads. The objective of this paper is to utilize accident hotspots to analyze the effect of different measures on the behavioral factors in driving. Every change in the road and its environment affects the choices of the driver and therefore the safety of the road itself. A spatio-temporal analysis of hotspots therefore can highlight the road segments where measures had positive or negative effects on the behavioral factors in driving. In this paper 2175 accidents resulted in injury or death on the South Anatolian Motorway in Turkey for the years between 2006 and 2009 are considered. The network-based kernel density estimation is used as the hotspot detection method and the K-function and the nearest neighbor distance methods are taken into account to check the significance of the hotspots. A chi-square test is performed to find out whether temporal changes on hotspots are significant or not. A comparison of characteristics related driver attributes like age, experience, etc. for accidents in hotspots vs. accidents outside of hotspots is performed to see if the temporal change of hotspots is caused by structural changes on the road. For a better understanding of the effects on the driver characteristics, the accidents are analyzed in five groups based on three different grouping schemes. In the first grouping approach, all accident data are considered. Then the accident data is grouped according to direction of the traffic flow. Lastly, the accident data is classified in terms of the vehicle type. The resultant spatial and temporal changes in the accident patterns are evaluated and changes on the road structure related to behavioral factors in driving are suggested.