面孔识别异族效应的研究

异族效应是面孔识别过程中一种非常稳定的现象,表现为对本族面孔的识别与再认成绩显著高于异族面孔.脑成像研究也证实了这两类面孔在神经表征上的差异.关于该效应主要有知觉经验说与社会分类说两种理论解释,但围绕着其心理机制仍然存在着很多争议然,未来的研究需要考虑族群认同等社会-人格因素对于异族效应的影响,并注意考察本族面孔与异族面孔有提取阶段可能存在的神经活动的差异.     

蒙古族青少年个性素质特点研究

采用<青少年心理健康素质调查表·个性素质量表>,对内蒙古自治区1768名蒙古族中小学生进行了测查,目的是探讨蒙古族青少年个性素质发展特点.结果表明:(1)个性素质分量表在蒙古族青少年群体中测试具有较好的信度,总量表的a系数为0.872,分半信度系数为0.824;量表7个因子的模型结构得到了证实.(2)个性素质某些因素上存在显著性别差异,责任因素上女生非常显著高于男生,冒险、独立两个因素上男生显著高于女生.(3)在所有个性素质上,重点学校学生显著高于一般学校学生.(4)在内外倾、乐观-悲观、责任、耐挫折、独立5个因素上,城市和城镇来源的青少年显著高于农牧区来源的青少年.(5)蒙古族青少年个性素质发展在所有因子上均存在年级差异.随年级增高,内外倾、乐观-悲观、责任、耐挫折、独立因子上呈起伏上升趋势,意志和冒险因子上呈现下降趋势.所有因子均显示高中生之间没有显著差异.     

Neural and genetic foundations of face recognition and prosopagnosia

Faces are of essential importance for human social life. They provide valuable information about the identity, expression, gaze, health, and age of a person. Recent face‐processing models assume highly interconnected neural structures between different temporal, occipital, and frontal brain areas with several feedback loops. A selective deficit in the visual learning and recognition of faces is known as prosopagnosia, which can be found both in acquired and congenital form. Recently, a hereditary sub‐type of congenital prosopagnosia with a very high prevalence rate of 2.5% has been identified. Recent research results show that hereditary prosopagnosia is a clearly circumscribed face‐processing deficit with a characteristic set of clinical symptoms. Comparing face processing of people of prosopagnosia with that of controls can help to develop a more conclusive and integrated model of face processing. Here, we provide a summary of the current state of face processing research. We also describe the different types of prosopagnosia and present the set of typical symptoms found in the hereditary type. Finally, we will discuss the implications for future face recognition research.     

Action Research: A Missing Component in the Emergence of Social and Cross‐Cultural Psychology as a Fully Inter‐Connected Global Enterprise

Action research, as envisaged by Lewin, uses research to solve a social problem and provide theoretical knowledge. It involves a cyclical–spiral of planning, action, and evaluation with feedback between parties, taking into account power and value differences and empowering change agents. This has been all but abandoned by social psychologists today. Contemporary ‘participatory’ action research has migrated to fields like education and development and community studies that emphasize a social constructionist epistemology with a qualitative approach of recording bottom‐up processes of social change and community self‐awareness. The globalization of psychology affords new opportunities for a return to more top‐down Lewinian traditions, where academics in the developing world – embedded within a cultural milieu of interconnectedness and relatively exempt from pressures to publish or perish – can work together with academics in wealthy countries to produce a process oriented psychology that is capable of making a difference under conditions of climate change and the end of cheap oil. Asian social psychology, where strongly indigenous psychologies have taken root in growing economies, may take a leading role in this movement.     

The Contributions of Personality to Organizational Behavior and Psychology: Findings,Criticisms, and Future Research Directions

Skepticism regarding the importance of personality traits as predictors of organizational behavior criteria has given way to an appreciation of the broad array of work outcomes predicted by personality. This article considers the effects of the five‐factor model (‘Big Five’) personality traits on the following work outcomes: (1) job performance; (2) work motivation; (3) job attitudes; (4) leadership; (5) power, politics, and influence; (6) stress, adaptability, and coping; (7) team effectiveness; (8) counterproductive/deviant workplace behaviors; (9) workplace accidents; and (10) conflict and negotiation. Two contemporary criticisms of personality research in organizational behavior – that the validities are small and that faking undermines the usefulness of personality inventories in employment contexts – are then evaluated. Finally, a brief agenda for future research is provided which highlights needed areas of advancement.     

Influences of response position and hand posture on the orthogonal Simon effect

When lateralized responses are made to the locations of vertically arrayed stimuli, two types of mapping effect have been reported: an overall up-right/down-left advantage and mapping preferences that vary with response position. According to Cho and Proctor's (2003) multiple asymmetric codes account, these orthogonal stimulus-response compatibility effects are due to the correspondence of stimulus polarity and response polarity, as determined by the positions relative to multiple frames of reference. The present study examined these two types of orthogonal compatibility for situations in which participants made left-right responses to the colours of a vertically arrayed stimulus set, and stimulus location was irrelevant. Although a significant orthogonal Simon effect was not evident when responding at a centred, neutral response position, the effect was modulated by response eccentricity (Experiment 2) and hand posture (Experiment 3). These effects are qualitatively similar to those obtained when stimulus location is task relevant. The results imply that, as Proctor and Cho's (2006) polarity correspondence principle suggests, the stimulus polarity code activates the response code of corresponding polarity even when stimulus location is irrelevant to the task.     

工作嵌入概述

工作嵌入是个体和组织内外所有与工作相关的情境之间所形成关系网络的密切程度,它从非主观和工作之外的因素入手,为我们理解组织行为提供了一个全新的视角。本文就工作嵌入的内涵、结构、理论背景展开阐述,并在对以往研究进行总结的基础之上,对未来的研究做出了展望。     

Long‐term immigrant adaptation: Eight‐year follow‐up study among immigrants from Russia and Estonia living in Finland

This study was a longitudinal investigation of the three different dimensions of long‐term immigrant adaptation (i.e., psychological, sociocultural, and socioeconomic adaptation) and the relationships between them in an 8‐year follow‐up with panel data. The 282 respondents were immigrants in Finland, born between 1961 and 1976, coming from the former Soviet Union. The results suggest that the adaptation of these immigrants has developed favourably. In 8 years, the respondents had improved their Finnish language skills and their position in the labour market. No differences were observed in their levels of psychological well‐being between the two assessments. Of the three adaptation dimensions assessed, sociocultural adaptation, measured as proficiency in understanding, speaking, reading, and writing Finnish, turned out to be the most significant predictor of the two other long‐term outcomes of immigrant adaptation (i.e., socioeconomic and psychological). In particular, the better the initial command of the Finnish language, the better were their socioeconomic and psychological adaptation outcomes after 8 years of residence. These results demonstrate the importance of parallel and longitudinal assessments of the different outcomes of immigrant adaptation in order to address which particular dimensions of adaptation are most critical in the beginning of acculturation in terms of determining positive development and long‐term immigrant adaptation.     

Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.