Hewitt多维完美主义量表在中学生群体中的修订

本研究以中学生群体为样本,对Hewitt多维完美主义量表(HMPS)进行修订。首先根据我国文化背景和青少年发展的具体状况建立了理论构想,接着对原量表进行了四次测查和检验修订,我们首先把指向他人和社会期望两个维度上的反向题改成正向题,并对所有项目的表述做了必要的修改;然后根据随后的测查结果进行了各维度和项目上的修改;最后删除了指向自我维度上的1个项目、指向他人维度上的2个项目和社会期望维度上的6个项目,修订后的HMPS量表的内部一致性信度α系数为0.91,指向自我、指向他人、社会期望的α系数分别为0.89,0.80,0.78,重测信度分别为0.80,0.79,0.67,与Frost多维完美主义量表中文修订版的相关分别为0.58,0.38,0.57。     

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.     

医患诚信问题探讨

近些年,诚信缺失现象大量滋生,信用问题日益凸现,医疗行业也深陷其中。医患诚信问题严重地挫伤了医患感情,医患间不信任情绪不断加深。关注和研究我国医患关系中的诚信伦理问题已刻不容缓。     

The influence of experimentally created extrapersonal associations on the Implicit Association Test

We examined the influence of extrapersonal associations (Olson & Fazio, 2004)—associations that neither form the basis of the attitude nor become activated automatically in response to the object—on the Implicit Association Test (Greenwald, McGhee, & Schwartz, 1998) by experimentally creating both attitudes and extrapersonal associations. The results revealed that participants who were given extrapersonal information that was inconsistent with their own attitudes were affected by this information when they later performed an IAT. They exhibited significantly reduced IAT scores compared to participants who were provided attitude-consistent extrapersonal information. This attenuation of the IAT effect occurred despite the fact that participants rated the source of the attitude-inconsistent extrapersonal information as irrational and foolish. On the other hand, the extrapersonal associations did not influence a subliminal priming measure in Experiment 1, nor a personalized version of the IAT (Olson & Fazio, 2004) in Experiment 2. These measures proved sensitive to the attitude, regardless of the congruency of the extrapersonal information.     

倦怠问卷(BM)的结构研究

为了考察BM问卷在中国文化背景下的适应性,用修订的倦怠问卷(BM)和中文版的MBI-GS量表对363名中小学教师进行施测。探索性因素分析和验证性因素分析的结果表明在中国文化背景下,三因素模型得到最优拟合,分别命名为耗竭、士气消沉、动机丧失;BM问卷的内部一致性系数在0.7999-0.8768之间,区分效度和聚合效度在0.762-0.259之间,均达到了心理测量学的要求。     

医学教育环境测量评价的实践与探索

重点讨论了医学教育环境测量和评价在医学教育改革中的地位和作用,在借鉴国外先进经验的基础上,在教育环境评价和教师评价方面提出了重视学生感受,重视教育环境的动态评价,科学公正地评价教师,建立全面系统的分析方法,建立评价的分析反馈机制等看法.     

国内城市社区健康教育和健康促进研究

分析了我国城市化加速发展过程中出现的城市社区健康问题及其影响因素。在对社区健康教育与健康促进的作用和意义进行探讨的基础上,提出解决这些城市健康问题的根本途径是城市社区健康教育与健康促进策略,并针对我国城市社区健康教育与健康促进的研究和发展现状提出对策建议。     

An impossibility theorem for verisimilitude

In this paper, we show that Arrow’s well-known impossibility theorem is instrumental in bringing the ongoing discussion about verisimilitude to a more general level of abstraction. After some preparatory technical steps, we show that Arrow’s requirements for voting procedures in social choice are also natural desiderata for a general verisimilitude definition that places content and likeness considerations on the same footing. Our main result states that no qualitative unifying procedure of a functional form can simultaneously satisfy the requirements of Unanimity, Independence of irrelevant alternatives and Non-dictatorship at the level of sentence variables. By giving a formal account of the incompatibility of the considerations of content and likeness, our impossibility result makes it possible to systematize the discussion about verisimilitude, and to understand it in more general terms.     

Recognition failure of recallable words: problems of mathematical constraint and dependence

The graph space of P ( RN | RL ) vs. P ( RN ), probabilities of recognition given recall and overall recognition, is the setting for the Tulving-Wiseman (TW) function of recognition failure research. According to Hintzman (1991, 1992), the moderate scatter of data points about the TW curve is an artefactual regularity caused by a mathematical constraint when P ( RN ) < P ( RL ). However, both constrained and unconstrained (when P ( RN ) ≥ P ( RL )) points conform equally well to the TW function, consistent with the unobserved fact that the location of both kinds of points is determined by the same mathematical rule. Hintzman's claim that there is no regularity in the data plot when P ( RN ) < P ( RL ) other than that produced by the constraint is not supported by this study. He based his claim on an incorrect use of the measure of dependence (association) called gamma. The graph space corresponding to gamma is that of P ( RN | RL ) vs. P ( RN | nRL ), as shown by using the Bayes function (Bayes' theorem). The margin-free measure gamma is a function of two thetas, theta being a margin-sensitive measure of dependence that is the parameter of the Bayes function. The variance of gamma reflects the fact that it is compounded of the theta variances, so a margin-free measure is obtained at the expense of greater variability.