Self-supporting personality and psychological symptoms: The mediating effects of stress and social support

This study examined relations among self-supporting personality, stress, social support, and psychological symptoms in a sample of 782 Chinese undergraduate students using the Self-Supporting Personality Scale for Adolescent Students (SSPS-AS), Adolescent Self-Rating Life Event Checklist (ASLEC), Multidimensional Scale of Perceived Social Support (MPSSS), and Symptoms Check List 90 (SCL-90). As predicted, results from cross-sectional structural equation analyses suggested that stress and social support mediate the relationship between four self-supporting personality traits and psychological symptoms; an alternative stress-moderation model was not supported.     

从整合医学视角看心血管学科未来发展

心血管疾病已经成为威胁国人健康的首位疾病.现代医学的发展使药物、介入和外科手术成为治疗心血管疾病的三大基石,但专科的进一步细化也带来相当多的弊端.因此,需要以患者为核心,摒弃学科的分野,将各种医学知识和防治手段有机融合,构建一个新的整合医学体系去培养年轻医师,切实控制心血管疾病.     

亚里士多德实践智慧思想及其复兴

亚里士多德的实践智慧(phronesis)概念是其阐释实践哲学的重要范畴,也是西方实践哲学发展的重要基点.这个概念在经过了N.马基雅维利和F.培根的改造之后其本真的内涵却被遮蔽了,甚至退化为计算与权术的代名词.但是,进入到现代之后,亚氏的实践智慧概念开始复兴.这实际上已经标识出实践智慧的普遍意义,而对此问题的研究也已关系到对整个传统哲学的理解以及对整个现代西方哲学的理性重建.本文以此为基点,在厘清亚氏实践智慧的本真内涵及其重要意义的同时,也进一步阐明现代哲学在此理路上所应具有的样态.     

动物和人类的利他本性:共情的进化

共情指个体感知或想象其他个体的情感,并部分体验到其他个体感受的心理过程.利他指以增加其他个体的福利为最终目标的动机.共情起源于动物的亲代养育行为,其神经基础来源于古老的情感系统.共情从动物低水平的情绪感染逐渐进化到同情关注以及观点采择共情.另外,共情具有良好的环境适应性.未来可以进一步研究动物与人类的共情和利他行为的异同,加大研究动物的高级共情能力和利他行为以及深入研究共情受社会因素的调节机制.     

工作不安全感、创造力自我效能对员工创造力的影响

采用问卷调查法, 以286对上级-下属配对数据为样本, 探讨了工作不安全感、创造力自我效能对员工创造力的影响及其内在作用机制。结果表明, 工作不安全感对员工创造力有倒U形的影响, 中等工作不安全感水平下员工的创造力最高; 创造力自我效能对员工创造力有显著的积极影响; 工作不安全感与创造力自我效能的交互效应显著, 创造力自我效能越高, 工作不安全感对员工创造力的影响越小; 工作不安全感、创造力自我效能及其交互效应通过内在动机的完全中介效应影响员工创造力。     

英语阅读问题解决的认知诊断

本研究尝试将认知诊断技术应用于中学生英语阅读问题解决(ERPS),以实现对中学生英语阅读问题解决的认知诊断,探讨中学生英语阅读问题解决的认知发展特点及其所存在的问题,为中学生的相关认知发展和知识获取服务。研究发现:(1)基于文本表征和反应决策两个加工过程中的七个认知属性是影响中学生ERPS的主要认知成分(R2=0.792);(2)中学生对于文本表征加工过程所涉及的属性的掌握情况优于反应决策加工过程所涉及的属性,学生所面临的主要困主要难于在反应决策加工阶段;(3)对不同属性掌握情况上存在显著的学校类型差异。(4)学生认知掌握状态的类型主要集中在15种(占73%),最多的三种为(1111011)、(1111110)和(1111101)(占34%)。总体来说,学生的属性掌握还是比较好的。相对地,对推理、信息匹配和正确选项的加工水平三个属性掌握较差,应引起重视。     

HO-DINA模型的MCMC参数估计及模型性能研究

认知诊断目前在国内外越来越受到重视,而要真正实现认知诊断,需借助一定的计量学模型即认知诊断模型。国际上,目前已开发近60种认知诊断模型,不同模型又各具特点。本研究重点分析国外研究较成熟的模型--HO-DINA/DINA模型,具体探讨该模型参数估计的实现及模型性能,采用Monte Carlo模拟方法进行,研究发现：(1)本研究对项目参数、属性参数和被试参数估计返真性较好、稳健性较强、HO-DINA模型具有较高的判断率,MCMC算法可行;（2）诊断的属性个数越多,诊断的模式正确率越低,建议实际使用该模型时,诊断的属性个数不宜超过7个;（3）用于诊断的项目数越多,诊断的模式正确率越高,在实际工作中,若要保证有80%以上的模式判准率,则4个属性的至少需20题,5个、6个和7个属性的至少需要40题,8个属性至少需60题。实际运用者应根据实际情况考虑适当的项目数及属性数。     

不同视觉区域OUP效应的眼动研究

摘 要 采用眼动方法,通过两个实验考察了不同视觉区域的OUP效应。结果显示：（1）当刺激材料分别平行呈现于左侧视觉区域和右侧视觉区域时,在右侧视觉区域产生了OUP效应,而在左侧视觉区域没有OUP效应,我们假设是由于左侧视觉区域首字母距离中央凹的不利位置影响了OUP效应的产生。（2）当垂直方向呈现刺激时,在两侧视觉区域均产生了明显的OUP效应,表明首字母距离中央凹处于有利位置时不会影响OUP效应的产生。实验结果支持了大脑左半球和右半球在词汇识别时的策略为系列加工,对左半球平行加工右半球系列加工的结论提出了质疑。     

Is subordinate's loyalty a precondition of supervisor's benevolent leadership? The moderating effects of supervisor's altruistic personality and perceived organizational support

Based on Cheng's differential leadership theory, we investigated the relationship between a subordinate's loyalty to a supervisor (SLS) and the supervisor's benevolent leadership in Chinese organizations. We also explored two moderators of this relationship, the supervisor's altruistic personality and perceived organizational support (POS). Using survey research, we collected data from supervisor‐subordinate dyads in Taiwan and made 167 valid observations. The results showed that SLS positively relates to the supervisor's benevolent behaviours; however, this relationship is diminished by the supervisor's altruistic personality and POS. That is, when the supervisor has a high level of altruistic personality or POS, the association of SLS with the supervisor's benevolent leadership is weaker.     

Using SAS PROC CALIS to fit Level-1 error covariance structures of latent growth models

In the present article, we demonstrates the use of SAS PROC CALIS to fit various types of Level-1 error covariance structures of latent growth models (LGM). Advantages of the SEM approach, on which PROC CALIS is based, include the capabilities of modeling the change over time for latent constructs, measured by multiple indicators; embedding LGM into a larger latent variable model; incorporating measurement models for latent predictors; and better assessing model fit and the flexibility in specifying error covariance structures. The strength of PROC CALIS is always accompanied with technical coding work, which needs to be specifically addressed. We provide a tutorial on the SAS syntax for modeling the growth of a manifest variable and the growth of a latent construct, focusing the documentation on the specification of Level-1 error covariance structures. Illustrations are conducted with the data generated from two given latent growth models. The coding provided is helpful when the growth model has been well determined and the Level-1 error covariance structure is to be identified.