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.     

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.     

《孟子·天下之言性章》再诠释:兼论孟子人性论的思想史意义

本文通过梳理早期人性论的思想脉络,说明早期以"习"描述"性"的普遍特征,由此引出孟子在《天下之言性章》中讨论"性"的特殊意义,文中首先讨论了学者目前关于此章争议情况,并进而对此章按分层结构的方式进行解释,以"故""利"与"智"作为各层的核心内容,说明孟子对"性"与"故"关系的认识,并确定孟子在此章中所表达的态度.     

Estimating averages from distributions of tone durations

We examined whether estimating average duration was influenced by the distribution peak location. We presented participants with samples of various tone durations and then presented comparison tone durations. Participants judged whether each comparison duration was longer than the average sample duration. Estimates of the averages were inferred from the psychophysical functions. The durations were sampled from three distributions: one positively skewed, one symmetric, and one negatively skewed. In Experiment 1, every participant was presented with every distribution. Estimates of the averages were unbiased for the symmetric distribution but were biased toward the long tail of each skewed distribution. This would occur if participants combined the sample to be judged with the previous, irrelevant samples, or with the comparison durations. In Experiment 2, each participant was presented with samples from only one of the distributions. Estimates of the averages were still biased toward the long tails of the skewed distributions. This would occur if participants combined the sample to be judged with the comparison durations, which were the same for the three distributions. In Experiment 3, each participant was presented with only one distribution, and each distribution was tested with its own comparison durations, selected as percentiles from the distribution. The estimates were accurate for the smallest population mean (positively skewed distribution) but underestimated the larger means. These results could be explained by subjective shortening of the durations in memory, with a simple equation from scalar timing theory. This equation correctly predicted two results: The estimated averages were a linear function of the stimulus means, and the variances were a linear function of the squared stimulus means. Neither prediction was dependent on the skewness of the stimulus durations.     

Child and Family Emotional Functioning: A Cross-National Examination of Families from China and the United States

Scant research has examined links between particular emotion socialization processes and child emotion functioning cross-nationally. In this study, we assessed a sample of 55 families from the United States (U.S.; 28 boys and 27 girls) and 49 families from China (27 boys and 22 girls) on family emotional expressiveness and children’s emotional experiences and regulation. Results indicated that children and families from the U.S. reported greater emotional expressiveness than their Chinese counterparts. Children from the U.S. also reported greater undercontrolled emotion than Chinese youth. Family expression of positive emotion was related to effortful emotion regulation in U.S. youth only, whereas family expression of negative emotion was associated with undercontrolled emotion for both U.S. and Chinese children. Our findings advance context-specific models of emotional development by illustrating similarities and differences in emotional functioning among U.S. and Chinese families. From a clinical perspective, the findings suggest that practitioners should consider the cultural variations of emotion communication within families when conducting both assessment and therapy.