结构因素对阅读保持影响的研究

本研究探讨文章阅读过程中结构因素对文章信息保持的影响作用。包括两个实验。实验 1探讨阅读文章结构是否清晰及主体对文章结构是否有清晰的把握对文章信息保持的影响效果。结果表明 ,阅读的文章结构越清晰 ,主体对文章结构把握能力越强 ,越能促进文章的信息保持。实验 2进一步探讨文章的结构清晰及主体对文章结构的清晰把握促进的是何种信息的保持。结果证明 ,结构清晰与否促进的是文章的主要信息的保持 ,而对文章的细节性信息促进作用不大。本研究结果表明 ,文章的结构因素对阅读保持有促进作用 ,主要是促进文章的主要信息的保持。     

中国人人格特质结构对合作的影响机制

采用调整后的公共财物范式,将合作分为内部准备阶段（合作意识）和外部表现阶段（合作行为）,以中国人人格问卷（QZPS）为工具,研究人格特质结构对合作不同阶段的影响机制。结果表明,（1）在合作的不同阶段,产生影响作用的人格特质因素不同。中国人人格特质中的善良和情绪性直接影响合作意识,行事风格与人际关系因素直接影响合作行为,外向性通过调节合作意识与合作行为的关系影响合作行为。（2）在考虑合作意识与人格特质交互作用的模型能够更好的解释和预测合作行为。文中讨论了在研究合作过程时从个体内部因素、特质以及外部情境等多角     

句子理解过程中词类加工的功能性质

句法优先理论假设词类加工功能上优先于语义、动词论元结构和话语信息加工。来自德语和法语的证据显示, 词类违反阻断语义整合和动词论元结构加工, 因而词类优先于语义和动词论元结构。关于词类加工在功能上是否优先于话语信息加工, 尚无来自任何语言的证据。汉语证据尽管显示词类并不优先于语义, 但未充分讨论任务因素的影响。将来研究有必要使用ERP技术和违反范式, 从语义整合、动词论元结构加工和话语水平加工等多个层面, 同时操纵词类的正确性和非句法因素, 考察句法特性上与德语和法语不同的语言, 如汉语和韩语。这方面研究将有助于洞察一个语言的语言学特性如何制约或调整词类加工的功能性质。     

艾森克人格问卷简式量表中国版(EPQ-RSC)的修订

该文引进艾森克人格问卷简式量表（EPQ-RShortScale,EPQ-RS）,首次在国内加以修订。根据来自30个省市56个地区的8637人（含汉族7725人）的样本数据,修订形成了艾森克人格问卷简式量表中国版（EPQ-RSC）,共包括4个分量表,各12个项目,这一形式和EPQ-RS相同。作者并基于本研究的样本提供了EPQ-RSC的中国常模。研究表明该问卷的E、N和L三个分量表具有令人满意的信度和效度,P量表的信度和效度基本达到有关的心理测量学标准。作者最后对此问卷的信效度结果以及问卷结果反映的当代中国人人格特点进行了讨论。     

文章标记对高一学生阅读理解的影响

采用测验法,以64名高中一年级学生为被试,探讨文章标记对不同阅读水平学生的回忆成绩和问题解决的影响.结果表明:(1)不同阅读水平读者回忆成绩上的文章标记效应不显著;(2)文章标记对于不同阅读水平学生的问题解决都具有显著的影响作用;(3)不同阅读水平读者的回忆和问题解决成绩存在显著差异.     

关于我国高等师范院校公共课心理学教材整体改革的构想

本文在作者实践基础上,从建设新时期具有我国特色的高师公共课心理学教材的高度,提出四点改革构想:1.在教材体系上,围绕师范生今后“教书”和“育人”工作组织心理学基本内容,形成有机联系的“双主线’结构;2.在教材内容上,突出“三个性”——以强调心理学内容对中学教育实践指导意义的实用性,带动理论阐述上的针对性和实践运用上的可操作性;3.在教材论述上,兼顾师范生的认识规律,采用现象—规律—运用的“三段法”程式;4.在教材编写上,提倡专家、高师公共课心理学教师和中学优秀教师“三结合”原则。     

Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and practical challenges. To address these challenges, a comprehensive COSAN modeling approach is proposed. Specifically, we define four COSAN-CCA models to correspond with four possible combinations of the data to be analyzed and the unique parameters to be estimated. In terms of the data, one can analyze either the unstandardized or standardized variables. In terms of the unique parameters, one can estimate either the weights or loadings. Besides the unique parameters of each COSAN-CCA model, all four COSAN-CCA models also estimate the canonical correlations as their common parameters. Taken together, the four COSAN-CCA models provide the correct point estimates and standard error estimates for all commonly used CCA parameters. Two numeric examples are used to compare the standard error estimates obtained from the MIMIC approach and the COSAN modeling approach. Moreover, the standard error estimates from the COSAN modeling approach are validated by a simulation study and the asymptotic theory. Finally, software implementation and future extensions are discussed.     

The semantic structure of emotion words across languages is consistent with componential appraisal models of emotion

Appraisal theories of emotion, and particularly the Component Process Model, claim that the different components of the emotion process (action tendencies, physiological reactions, expressions, and feeling experiences) are essentially driven by the results of cognitive appraisals and that the feeling component constitutes a central integration and representation of these processes. Given the complexity of the proposed architecture, comprehensive experimental tests of these predictions are difficult to perform and to date are lacking. Encouraged by the “lexical sedimentation” hypothesis, here we propose an indirect examination of the compatibility of the theoretical assumptions with the semantic structure of a set of major emotion words as measured in a cross-language and cross-cultural study. Specifically, we performed a secondary analysis of the large-scale data set with ratings of affective features covering all components of the emotion process for 24 emotion words in 27 countries, constituting profiles of emotion-specific appraisals, action tendencies, physiological reactions, expressions, and feeling experiences. The results of a series of hierarchical regression analyses to examine the prediction of the theoretical model are highly consistent with the claim that appraisal patterns determine the structure of the response components, which in turn predict central dimensions of the feeling component.     

Too good to be true? Psychological responses to uncommon options in risk–reward environments

Risks and rewards, or payoffs and probabilities, are inversely related in many choice environments. We investigated people's psychological responses to uncommon combinations of risk and reward that deviate from learned regularities (e.g., options that offer a high payoff with an unusually high probability) as they evaluated risky options. In two experiments (N = 183), participants first priced monetary gambles drawn from environments in which risks and rewards were negatively correlated, positively correlated, or uncorrelated. In later trials, they evaluated gambles with uncommon combinations of risk and reward—that is, options that deviated from the respective environment's risk–reward structure. Pricing, response times, and (in Experiment 2) pupil dilation were recorded. In both experiments, participants took more time when responding to uncommon compared to foreseeable options or when the same options were presented in an uncorrelated risk–reward environment. This result was most pronounced when the uncommon gambles offered higher expected values compared to the other gambles in the set. Moreover, these uncommon, high‐value options were associated with an increase in pupil size. These results suggest that people's evaluations of risky options are based not only on the options' payoffs and probabilities but also on the extent to which they fit the risk–reward structure of the environment.