On the Grammar of Politics—or Why Conservatives Prefer Nouns

Previous research indicates that political conservatism is associated with epistemic needs for structure and certainty (Jost et al., 2003) and that nouns elicit clearer and more definite perceptions of reality than other parts of speech (Carnaghi et al., 2008). We therefore hypothesized that conservatives would exhibit preferences for nouns (vs. verbs and adjectives), insofar as nouns are better suited to satisfy epistemic needs. In Study 1, we observed that social conservatism was associated with noun preferences in Polish and that personal need for structure accounted for the association between ideology and grammatical preferences. In Study 2, conducted in Arabic, social conservatism was associated with a preference for the use of nominal sentences (composed of nouns only) over verbal sentences (which included verbs and adjectives). In Study 3, we found that more conservative U.S. presidents used greater proportions of nouns in major speeches, and this effect was related to integrative complexity. We discuss the possibility that conservative ideology is linked to grammatical preferences that foster feelings of stability and predictability.     

Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing

Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature‐based conceptual account assumes that the statistical characteristics of concepts’ features—the number of concepts they occur in (distinctiveness/sharedness) and likelihood of co‐occurrence (correlational strength)—determine conceptual activation. To test these claims, we investigated the role of distinctiveness/sharedness and correlational strength in speech‐to‐meaning mapping, using a lexical decision task and computational simulations. Responses were faster for concepts with higher sharedness, suggesting that shared features are facilitatory in tasks like lexical decision that require access to them. Correlational strength facilitated responses for slower participants, suggesting a time‐sensitive co‐occurrence‐driven settling mechanism. The computational simulation showed similar effects, with early effects of shared features and later effects of correlational strength. These results support a general‐to‐specific account of conceptual processing, whereby early activation of shared features is followed by the gradual emergence of a specific target representation.     

结构需求:概念、测量及与相关变量的关系

结构需求是个体对简单结构、清晰有条理的事物与环境的偏爱和需要,其本质是一种动机,个体通常会以结构严密、有条理或简化复杂信息的认知加工方式将其表现出来。结构需求存在着个体差异性。高结构需求水平的个体能够简化复杂的信息和环境,以清晰和简单的表征与描述去理解、建构他们的世界,从而减少认知资源的支出和消耗,提高认知操作的效率,维持认知与行为倾向的内在稳定。研究者梳理了结构需求的概念内涵、理论基础,介绍了两种主要的结构需求测量工具(PNS-12量表,PNS-11量表),以及结构需求的相关研究,分别从结构需求的前因变量、结果变量的角度对其相关研究进行了阐述。未来研究应深入探究结构需求的概念与结构,拓展其研究方法,研发更加有效的测评工具,深入探讨其影响机制,开展结构需求的中国化研究。     

Health and Aging: A Perspective from the Far East

Singapore is an urban, highly industrialized country in South East Asia. By 2030, one-fifth of the population is projected to be composed of citizens aged above 65 years. Research on aging has largely focused on the effects of deteriorating physical ability on daily functioning capabilities (Iwarsson & Isacsson, 1997; Warr, 1995). More recently, the role of self-perceived usefulness, competence and control on well-being in the elderly have been investigated (Heberlein, Licht & Licht, 1999; Ranzjin, Keeves, Luszcz, & Feather, 1998). In other fields, activity and involvement have been identified as effective coping devices (Nair, 1989; Shalit, 1988). The present study compared the conceptual understanding of the esteem and well-being of the elderly on the dimensions of activity, involvement, and control, as viewed by an undergraduate sample (n = 60) and a cross-section of seniors (n = 71). Three separate factor analyses reflected interesting variations in the conceptual frameworks.     

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。     

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.