英语句法歧义消解过程中基于激发点的权变模型

采用自控速度的移动窗口技术,在3个实验中分别考察句法歧义消解的基本过程。阅读材料为 不含有词汇歧义的较为单纯的英语句法歧义句。结果为：实验1的研究结果表明在语料中不存 在歧义激发点的情况下,被试不会启动歧义的消解过程;实验2的研究结果表明当歧义激发点 与解歧区重合时,人们会选用再分析机制来处理解歧区语料;实验3的研究结果表明当歧义激 发点与歧义区重合时,人们会选用竞争机制来处理歧义区语料。本研究初步验证了基于激发点 的权变模型关于句法歧义消解过程的相关设想。     

A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times

A generalized linear modeling framework to the analysis of responses and response times is outlined. In this framework, referred to as bivariate generalized linear item response theory (B-GLIRT), separate generalized linear measurement models are specified for the responses and the response times that are subsequently linked by cross-relations. The cross-relations can take various forms. Here, we focus on cross-relations with a linear or interaction term for ability tests, and cross-relations with a curvilinear term for personality tests. In addition, we discuss how popular existing models from the psychometric literature are special cases in the B-GLIRT framework depending on restrictions in the cross-relation. This allows us to compare existing models conceptually and empirically. We discuss various extensions of the traditional models motivated by practical problems. We also illustrate the applicability of our approach using various real data examples, including data on personality and cognitive ability.     

Social identity,attribution, and emotion: Comparisons of Americans,Korean Americans,and Koreans

The social identity of another person, in addition to the social identity of self, can be an important factor affecting the types of attribution judgments and emotions that individuals indicate for the other person. In April 2007, the perpetrator of the shooting incident on the Virginia Tech University campus was identified as a person who emigrated to the USA from Korea at a young age. The current study compared non‐Korean Americans, Korean Americans, Koreans in the USA, and Koreans in Korea in terms of their attributions and emotions concerning the perpetrator and the shooting incident. Participants were asked to indicate (1) the extent to which they attributed the cause of the incident to either American society or the perpetrator, (2) their emotions (e.g., upset), and (3) the extent to which they categorized the perpetrator as an American, a Korean American, or a Korean. The results indicated that non‐Korean Americans were most likely to attribute the cause of the incident to the perpetrator as opposed to American society. Non‐Korean Americans, Korean Americans, and Koreans in the United States had more negative emotions (e.g., unhappy, sad, and upset) about the incident than Koreans in Korea did. The results also indicated that individuals differed in their attributions and emotions depending on how they categorized the perpetrator. For example, categorizing the perpetrator as being a Korean was positively related to Americans’ tendency to hold the perpetrator responsible, while categorizing the perpetrator as being an American was negatively related to the tendency to hold the perpetrator responsible among Koreans in Korea. The findings may imply that social identity theory, intergroup emotion theory, and cultural orientations (e.g., individualism and collectivism) can provide insights into people's reactions to a tragic incident.     

The Contextual and Compositional Associations of Social Capital and Subjective Happiness: A Multilevel Analysis from Seoul, South Korea

Although studies on the association between social capital and subjective well-being have been recently increasing many issues still remain unsolved. The purpose of this study is to investigate the association between various social capital dimensions both at the individual (political participation, network source, trust, and organizational participation) and area level (voting rate, trust, and organizational participation) and subjective well-being (happiness) using multilevel analysis while controlling for various control variables at multiple levels. Survey data was collected from December, 2010 to April, 2011 in Seoul, South Korea. The final sample was comprised of 4,585 respondents within all 25 administrative areas in Seoul. Results from the multilevel analysis revealed that all individual and area level (trust) social capital variables are positively associated with subjective happiness. Our findings also point to the need for more sophisticated studies with longitudinal datasets based on multilevel framework using instrumental variable analysis to clarify our knowledge regarding the effects of social capital on subjective well-being.     

通货膨胀、通货紧缩和产品类型对货币幻觉的影响

货币幻觉是指经济交易活动中,人们因倾向于以货币的名义价值而非实际价值思考从而对其消费和投资行为造成影响的一种认知偏差。本研究探讨了在通货膨胀和通货紧缩下以及产品类型对货币幻觉程度的影响。研究发现,在通货膨胀或通货紧缩下,大部分被试判断经济状况时不受货币名义价值的影响,而判断快乐程度和离职意向时受到货币名义价值的影响;在相同的涨价幅度下被试对日常消费品和昂贵消费品涨价幅度的判断差异显著,昂贵消费品引起人们更高程度的货币幻觉。     

The Attitudinal Entropy (AE) Framework as a General Theory of Individual Attitudes

Abstract

This article introduces the Attitudinal Entropy (AE) framework, which builds on the Causal Attitude Network model that conceptualizes attitudes as Ising networks. The AE framework rests on three propositions. First, attitude inconsistency and instability are two related indications of attitudinal entropy, a measure of randomness derived from thermodynamics. Second, energy of attitude configurations serves as a local processing strategy to reduce the global entropy of attitude networks. Third, directing attention to and thinking about attitude objects reduces attitudinal entropy. We first discuss several determinants of attitudinal entropy reduction and show that several findings in the attitude literature, such as the mere thought effect on attitude polarization and the effects of heuristic versus systematic processing of arguments, follow from the AE framework. Second, we discuss the AE framework’s implications for ambivalence and cognitive dissonance.     

A generalized linear factor model approach to the hierarchical framework for responses and response times

We show how the hierarchical model for responses and response times as developed by van der Linden (2007), Fox, Klein Entink, and van der Linden (2007), Klein Entink, Fox, and van der Linden (2009), and Glas and van der Linden (2010) can be simplified to a generalized linear factor model with only the mild restriction that there is no hierarchical model at the item side. This result is valuable as it enables all well‐developed modelling tools and extensions that come with these methods. We show that the restriction we impose on the hierarchical model does not influence parameter recovery under realistic circumstances. In addition, we present two illustrative real data analyses to demonstrate the practical benefits of our approach.