Religion and Health: Anxiety,Religiosity, Meaning of Life and Mental Health

We examined the association among anxiety, religiosity, meaning of life and mental health in a nonclinical sample from a Chinese society. Four hundred fifty-one Taiwanese adults (150 males and 300 females) ranging in age from 17 to 73 years (M = 28.9, SD = 11.53) completed measures of Beck Anxiety Inventory, Medical Outcomes Study Health Survey, Perceived Stress Scale, Social Support Scale, and Personal Religiosity Scale (measuring religiosity and meaning of life). Meaning of life has a significant negative correlation with anxiety and a significant positive correlation with mental health and religiosity; however, religiosity does not correlate significantly anxiety and mental health after controlling for demographic measures, social support and physical health. Anxiety explains unique variance in mental health above meaning of life. Meaning of life was found to partially mediate the relationship between anxiety and mental health. These findings suggest that benefits of meaning of life for mental health can be at least partially accounted for by the effects of underlying anxiety.     

Potential Job Facilitation Benefits of “Water Cooler” Conversations: The Importance of Social Interactions in the Workplace

This study looked at the extent to which personality and cultural factors predicted participants’ perceptions of the importance private interactions played in the workplace. The 134 participants read a vignette (where a new employee socially interacted at low or high levels with co-workers) and completed the Big Five Inventory, Social Axioms Survey, and questions concerning expected workplace experiences. Results indicated employees who engaged in high levels of private interaction with co-workers were expected to be better liked, to receive better performance evaluations, were more likely to receive co-worker assistance, and were thought to be more likely chosen for future projects. However, the personality and social axiom variables studied did not significantly interact with social interaction to influence expectations of workplace outcomes.     

记忆集对注意焦点转换及其返回抑制的影响

采用记忆更新任务,实验1要求被试分别更新3个和4个记忆项目,并设置不转换、控制转换和抑制转换条件,考察记忆集对注意焦点转换及其返回抑制的影响;实验2操纵两次更新同一记忆项目之间对其它记忆项目更新的次数（2次、3次及3次以上）,在实验1基础上,考察返回抑制中项目抑制状态的消退过程.结论：随记忆集增加,转换代价增大,而返回抑制效应消失;当注意焦点对其它记忆项目更新2次时,之前被抑制项目的抑制状态可完全消退.     

隆乳术的演变与进步

隆乳术不仅可以重塑女性的形体美,而且可以增强女性的自信心,在当前具有广阔的市场。纵观隆乳术的发展演变史,从最初的注射隆乳术到自体组织隆乳术,再到当前的假体隆乳术和自体脂肪移植隆乳术,经历了“实践、认识、再实践、再认识”的多次反复。各种隆乳方式各具特色,其间既有成功的经验,又有失败的教训。针对隆乳术安全性的改进推动了隆乳术的不断向前发展。寻找一种安全有效的隆乳方式和理想的隆乳材料成为当前隆乳术发展的关键和整形外科医师关注的重点。     

默读和出声阅读的副中央凹预视效应

以往研究大多考察默读中是否存在副中央凹预视效应及存在何种类型的预视效应,很少有研究探讨出声阅读中的副中央凹预视效应以及阅读中预视信息提取的时间进程。本研究采用边界范式,通过两个眼动实验考察默读和出声阅读中的副中央凹预视效应及预视信息提取的时间进程。实验1发现在默读和出声阅读中都存在副中央凹预视效应,但是默读中副中央凹预视效应更大。实验2发现出声阅读中在注视中央凹词汇的早期不能提取副中央凹处信息。两个实验的结果表明默读和出声阅读条件下的副中央凹加工是不同的,需要用不同的眼动模型解释。     

应对风格问卷的初步编制

本研究提出一种关于应对风格的理论构想。根据此构想编制的应对风格问卷可将个体分为灵活应对、问题应对、情绪应对和异常应对四种应对风格。初步研究表明,此问卷具有较好的信度和效度。用此问卷对1115名被试进行了初步调查,发现灵活应对风格160人,问题应对风格420人,情绪应对风格394人,异常应对风格的141人。此量表的建立为我们今后进行压力与应对的研究提供了一个有效工具。     

社会支持的调节作用研究

为了考察社会支持在人格特征和心理健康水平之间的调节作用,利用症状自评量表、社会支持评定量表和艾森克人格问卷简式量表对1102名大学生进行施测。层级回归分析的结果不仅支持了社会支持的调节作用,而且表明社会支持与个体的心理健康水平之间存在三种不同的关系形式,即(1)社会支持的主效应显著,但是调节效应不显著;(2)社会支持的主效应和调节效应同时显著;(3)社会支持的主效应不显著,但是调节效应显著。     

程序公正及其心理机制

程序公正是组织公正的重要成分。自从Thibaut和Walker（1975）提出程序公正的概念以后,程序公正被引入了很多领域的研究,得到了极大的发展,但是程序公正的内容需要整合统一。发言权效应和尊重效应讨论了影响程序公正判断的因素,个人利益模型和团体价值模型则分析了其内在的心理机制。程序公正影响了大量与工作有关的态度和行为,并与分配结果产生了交互作用,其内在机制也在文章中得到了讨论。     

信息保持、短时存贮与执行控制的脑模型

工作记忆的脑机制是认知神经科学研究的重要问题。研究者在分析大量脑成像研究数据的基础上,创建了许多解释工作记忆神经基础的模型。Smith和Jonides发展了工作记忆成分结构模型和贮存与执行加工分离模型。Postle和D’Esposito建构了工作记忆相对表征混合模型,D’Esposito, Postle和Rypma阐述了工作记忆加工阶段动态模型。Fletcher和Henson提出工作记忆额叶分区整合理论。该文通过对上述模型或理论的评价,总结了工作记忆脑成像研究中存在的问题,展望了该研究领域的发展趋势。     

Local influence analysis of nonlinear structural equation models

By regarding the latent random vectors as hypothetical missing data and based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm, we investigate assessment of local influence of various perturbation schemes in a nonlinear structural equation model. The basic building blocks of local influence analysis are computed via observations of the latent variables generated by the Metropolis-Hastings algorithm, while the diagnostic measures are obtained via the conformal normal curvature. Seven perturbation schemes, including some perturbation schemes on latent vectors, are investigated. The proposed procedure is illustrated by a simulation study and a real example. Acknowledgment: This research is fully supported by a grant (CUHK 4243/02H) from the Research Grant Council of the Hong Kong Special Administration Region. The authors are indebted to ICPSR and the relevant funding agency for allowing use of their data, and to the Editor and reviewers for their valuable comments for improving the paper.