不同出生年代的中国人生活满意度的变化

通过世界价值观调查项目研究中国人1990年到2007年生活满意度、心理控制感、经济满意度的变化及其相互关系。结果发现, 性别与调查时间对生活满意度的影响有交互作用, 调查时间与出生年代对生活满意度和心理控制感都有交互作用, 调查时间和出生年代对经济满意度的主效应均显著。四次调查中, 中国人的生活满意度、心理控制感及经济满意度均发生显著变化, 经济满意度和心理控制感对生活满意度均有显著预测作用。     

唯识精进的结构与功能――以对主观幸福感的影响为例

以588名高中生为被试,以《精进问卷》、《生活满意度量表》和《积极与消极情感量表》为工具,先考察唯识精进的结构,然后,以精进对主观幸福感的影响为例,考察精进的功能。结果表明：（1）精进是七因素的结构;（2）对于生活满意度和积极情感而言,最有力的正向预测变量是无下和披甲精进;（3）对于消极情感而言,披甲和加行精进有微弱的负向预测作用。本研究突破了唯识心理学乃至佛教心理学偏重思辨研究而忽略实证研究的局限。     

心理和谐概念辨析

心理和谐是心理要素以及直接影响心理的各要素之间在总体意义上的协调统一、相对稳定的关系,它由个体内部心理和谐、人－事心理和谐、人际心理和谐和身心和谐四个子系统组成,其内涵本质上属于积极心理学的范畴。心理和谐和心理健康、自我和谐、主观幸福感既有显著区别,又存在密切关系。对心理和谐的内涵及其同邻近概念的关系进行全方位的辨析,有助于深化心理和谐的理论研究和实证研究。     

视听时间再校准：适应空间与适应客体的联合及独立作用

同一事件的视听成分即使同时发生, 由于两种信息的物理传播与神经传导速度的差异, 大脑知觉到它们的时刻仍会存在一定的延迟。时间再校准指大脑可以最小化并适应这段时间延迟的现象。本研究采用“适应—测验”范式, 在适应阶段连续给被试呈现视觉先于听觉或听觉先于视觉128ms的刺激对, 在测验阶段以时序判断任务来测量被试此时主观同时点的变化。通过操纵适应及新异视听刺激对(即适应客体与新异客体)在测验阶段出现的空间位置, 探索空间与客体因素对视听时间再校准的影响。结果发现, 当适应客体出现于适应空间时, 主观同时点显著偏向了时间延迟的方向; 同样显著或边缘显著的主观同时点偏移还发生于适应客体出现于未适应空间时, 以及新异客体出现于适应空间时。研究表明, 视听时间再校准在不同空间中的表现取决于适应空间与适应客体的联合或独立作用。     

主观幸福感与大三人格特征相关研究的元分析

运用元分析方法对国内有关主观幸福感与大三人格特质的关系问题进行了探讨, 通过文献检索, 纳入文献43篇, 总样本量为16377。结果表明：(1)主观幸福感与外倾性存在正相关, 与神经质、精神质存在负相关。对比国外相关研究, 中国被试群体的外倾性、神经质与主观幸福感的相关更为密切, 人格特质与文化的契合性对主观幸福感与人格特质的相关有较大影响; (2)主观幸福感与大三人格之间的相关不受主观幸福感结构(总体幸福感、生活满意度、积极情感和消极情感)的影响。主观幸福感的结构需要进一步明确; (3)主观幸福感与内外倾人格特质的相关受不同年龄群体的调节, 而主观幸福感与神经质、精神质的关系则不受影响。最后, 对研究结果进行讨论并展望未来研究方向。     

初中生感戴和主观幸福感的干预研究

该研究通过开设班级辅导和“列举恩惠”活动,采用不同的干预方式对初一年级学生进行感戴干预研究,考察不同感戴干预方式对主观幸福感的影响。结果显示：实验班1学生在感戴、生活满意度、积极情感方面的提高水平高于实验班2和控制班;实验班2学生在感戴、生活满意度、积极情感方面的提高水平高于控制班。因此得出结论：班级辅导和“列举恩惠”活动相结合的干预方式与仅采用“列举恩惠”活动的干预方式都可以提高学生感戴和主观幸福感,但是前者比后者的效果好。     

A Work-Life Identity Model of Well-Being: Towards a Research Agenda Linking Quality-of-Work-Life (QWL) Programs with Quality of Life (QOL)

QWL is conceptualized in terms of the interface between employee role identities and work resources. QWL programs serve to enhance QOL by (1) providing appropriate work resources to meet the expectations of employee role identities, (2) reducing role conflict in work and non-work life, (3) enhancing multiple role identities, (4) reducing role demands, (5) reducing stress related to work and non-work role identities, and (6) increasing the value of the role identity. We describe a variety of QWL programs related to work life (decentralized organization structures, teamwork, parallel structures, ethical corporate mission and culture, the organization work schedule, etc.) and non-work life (work at home, flextime, compressed work week, part-time work arrangements, job sharing, etc.) and show how they serve to enhance QOL using the language of work-life identity. Doing so helps develop a research agenda based on the work-life identify model.     

意见收敛定理与休谟问题

意见收敛定理是主观主义概率论的一条重要定理,它表明随着证据的增加,验前概率的主观性将被验后概率的客观性所代替。意见收敛定理被看作主观概率的动态合理性原则,因而被用来解决休谟问题,即归纳合理性问题。然而,哈金有说服力地表明,意见收敛定理证明的是条件概率Pr（h／e）的收敛,而不是验后概率Pre（h）的收敛。主观主义概率论暗中接受的一个等式是：Pre（h）=Pr（h／e）,通常称之为“条件化规则”。这样,归纳法的合理性问题变成条件化规则的合理性问题。为此,本文提出一个新的合理性原则,即“最少初始概率原则”,将它同“局部合理性”观念结合起来便可为条件化规则的合理性加以辩护。     

Taxicab Correspondence Analysis

Taxicab correspondence analysis is based on the taxicab singular value decomposition of a contingency table, and it shares some similar properties with correspondence analysis. It is more robust than the ordinary correspondence analysis, because it gives uniform weights to all the points. The visual map constructed by taxicab correspondence analysis has a larger sweep and clearer perspective than the map obtained by correspondence analysis. Two examples are provided. This research was financed by the Natural Sciences and Engineering Research Council of Canada. The author thanks Serge Vienneau for his help regarding the graphical displays, and also thanks the editor, associate editor, and two reviewers for their constructive comments.     

Component Models for Fuzzy Data

The fuzzy perspective in statistical analysis is first illustrated with reference to the “Informational Paradigm” allowing us to deal with different types of uncertainties related to the various informational ingredients (data, model, assumptions). The fuzzy empirical data are then introduced, referring to J LR fuzzy variables as observed on I observation units. Each observation is characterized by its center and its left and right spreads (LR₁ fuzzy number) or by its left and right “centers” and its left and right spreads (LR₂ fuzzy number). Two types of component models for LR₁ and LR₂ fuzzy data are proposed. The estimation of the parameters of these models is based on a Least Squares approach, exploiting an appropriately introduced distance measure for fuzzy data. A simulation study is carried out in order to assess the efficacy of the suggested models as compared with traditional Principal Component Analysis on the centers and with existing methods for fuzzy and interval valued data. An application to real fuzzy data is finally performed. We would like to express our gratitude to the Editor, the Associate Editor, and the Referees whose comments and suggestions improved significantly the quality of the paper.