Employee self-enhancement motives and job performance behaviors: investigating the moderating effects of employee role ambiguity and managerial perceptions of employee commitment

This study examined the effects of employee self-enhancement motives on job performance behaviors (organizational citizenship behaviors and task performance) and the value of these behaviors to them. The authors propose that employees display job performance behaviors in part to enhance their self-image, especially when their role is not clearly defined. They further argue that the effects of these behaviors on managerial reward recommendation decisions should be stronger when managers believe the employees to be more committed. The results from a sample of 84 working students indicate that role ambiguity moderated the effects of self-enhancement motives on job performance behaviors and that managerial perceptions of an employee's commitment moderated the effects of those organizational citizenship behaviors that are aimed at other individuals on managers' reward allocation decisions.     

Causal attribution for interfirm contract violation: a comparative study of Chinese and American commercial arbitrators

In this study, the authors examined differences between Chinese and American commercial arbitrators. They predicted and found that Chinese arbitrators make higher awards for interfirm contract violations than Americans. This difference is partially explained by differences in attributions. Prior theory suggests, and the authors found, that the Chinese tend to have more internal attributions for events when observing group actions. When evidence provided to arbitrators is mixed (evidence is provided for both internal and external attributions), Chinese-American differences in awards become even stronger.     

Culture and group perception: dispositional and stereotypic inferences about novel and national groups

In 3 studies, the authors tested the hypothesis that Chinese participants would view social groups as more entitative than would Americans and, as a result, would be more likely to infer personality traits on the basis of group membership--that is, to stereotype. In Study 1, Chinese participants made stronger stereotypic trait inferences than Americans did on the basis of a target's membership in a fictitious group. Studies 2 and 3 showed that Chinese participants perceived diverse groups as more entitative and attributed more internally consistent dispositions to groups and their members. Guided by culturally based lay theories about the entitative nature of groups, Chinese participants may stereotype more readily than do Americans when group membership is available as a source of dispositional inference.     

Feature extraction via KPCA for classification of gait patterns

Automated recognition of gait pattern change is important in medical diagnostics as well as in the early identification of at-risk gait in the elderly. We evaluated the use of Kernel-based Principal Component Analysis (KPCA) to extract more gait features (i.e., to obtain more significant amounts of information about human movement) and thus to improve the classification of gait patterns. 3D gait data of 24 young and 24 elderly participants were acquired using an OPTOTRAK 3020 motion analysis system during normal walking, and a total of 36 gait spatio-temporal and kinematic variables were extracted from the recorded data. KPCA was used first for nonlinear feature extraction to then evaluate its effect on a subsequent classification in combination with learning algorithms such as support vector machines (SVMs). Cross-validation test results indicated that the proposed technique could allow spreading the information about the gait's kinematic structure into more nonlinear principal components, thus providing additional discriminatory information for the improvement of gait classification performance. The feature extraction ability of KPCA was affected slightly with different kernel functions as polynomial and radial basis function. The combination of KPCA and SVM could identify young-elderly gait patterns with 91% accuracy, resulting in a markedly improved performance compared to the combination of PCA and SVM. These results suggest that nonlinear feature extraction by KPCA improves the classification of young-elderly gait patterns, and holds considerable potential for future applications in direct dimensionality reduction and interpretation of multiple gait signals.     

Performance of the CES-D and its short forms in screening suicidality and hopelessness in the community

A measurement scale should be short and quick to complete if it is to be practically useful. Drawing on data from a community-based survey of 2,178 people in Hong Kong, we compared five short forms (5- to 10-item) and the original version (20-item) of the Center for Epidemiologic Studies-Depression Scale (CES-D; Radloff, 1977) in predicting suicidal attempts and suicidal thoughts. Short forms with as few as nine items performed in ways very similar to the full version; a version with only five items had a detectable difference from the full version. Sensitivity, specificity, and predictive values in differentiating people with and without suicidal thought or attempt change almost linearly with the cut-offs.     

论结合CNV和P300进行犯罪心理生理测试的可行性

在国外,事件相关电位技术应用于犯罪心理生理测试已经有多年的历史,近年来我国也有所尝试;但大多是以单一的ERP成分作为判断指标。若在测试过程中能通过特殊的设计,同时诱发两种或两种以上的特异性ERP,在结果分析时采用多种指标进行相互印证、相互支持的分析,定能在一定程度上提高测试的准确性。本文以此为出发点,讨论结合CNV和P300进行犯罪心理生理测试的可行性。     

早期应激对抑郁相关行为及神经内分泌反应的长期影响

临床研究发现,早期创伤性经历是导致成年抑郁症易感性增加的高风险因素之一。但早期应激通过何种途径对抑郁发病产生长期的影响,目前尚不清楚。本文综述了近年来有关的实验动物研究,从早期应激的动物模型建立、早期应激对成年动物抑郁相关行为及神经内分泌反应的长期影响等方面进行了系统论述和分析,进而提出了早期应激并不影响动物的本能行为,但早期应激影响与行为动机和应激应对等认知相关的行为的观点,进一步论证了早期应激是通过增加个体潜在的易患病素质对抑郁症发病产生影响     

数字的空间特性

当要求被试对数字进行奇偶判断时,左手对小数的反应较快,而右手对大数的反应较快,该现象被称为空间数字反应编码联合效应（SNARC效应）。大量研究证实了SNARC效应的存在,该效应表明人类对数字的加工受空间表征和空间注意的影响。该文系统地回顾了SNARC效应存在及其发生阶段的证据,对比了Simon效应与SNARC效应,最后尝试着从空间注意的角度挖掘数字和空间的本质联     

内隐学习的人工神经网络模型

近年来,人工神经网络模型常被用来模拟各种心理活动,从而为心理学的一些相关理论提供丰富的证据,内隐学习也不例外。基于权重调整来学习正确反应的人工神经网络模型和内隐学习的两大本质特征间有着极为相应的匹配,因此,人工神经网络模型特别适用于内隐学习研究。到目前为止,针对两种较为普遍的内隐学习任务,已经相应地出现了两种使用较为广泛的神经网络模型——自动联系者和简单循环网络     

情绪神经回路的可塑性

从两个方面介绍了近年来关于情绪神经回路可塑性的研究进展：（1）情绪神经回路中各主要脑区（包括前额叶、杏仁核等）的可塑性及其相互影响;（2）情绪神经回路可塑性的影响因素,包括情绪学习、早期环境和经历以及抚养者的情绪状态等。文章最后还对情绪神经回路可塑性的研究方法及未来的研究方向进行了探讨