通货膨胀知觉的认知机制和影响因素

通货膨胀知觉是个体对通货膨胀的主观体验.通货膨胀知觉的认知机制主要体现在体验阶段和整合阶段.体验阶段主要涉及到个体对物价的感受性和记忆,整合阶段主要涉及到个体利用可得性启发式以及锚定和调整启发式完成对通货膨胀的最终估计.通货膨胀知觉的影响因素主要包括通货膨胀预期、框架效应、对价格公平性的认知、社会放大效应以及货币改革等.未来可以从通货膨胀知觉的信息加工方式、认知神经机制、跨文化研究以及具有较高生态效度的测量指标等方面进一步探讨.     

由能知而自知--意识研究的若干问题

笛卡尔的“心身二元论”开启了近代以来的心智哲学,他提出的心身问题的两个方面,即心身区别和心身因果相互作用,似乎构成了迄今为止笛卡尔哲学的辩护者和反对者的共同领域。笛卡尔给他的后继者们留下两种可能性:或者是消解二元对立;或者是修订相互作用论,其后世的心智哲学基本上是沿着这两条道路前进的。而当代心智哲学对意识的分析也具体体现了现代哲学对于传统的作为认识主体的“心灵实体”的解构。一　意识的难解之谜关于意识的研究所面对的是两种不同的对象:一种是从主观的角度用内省方法得到的自己头脑中的“内部现象”,我们据此承认意…     

Tests of statistical hypotheses in the case of unequal or disproportionate numbers of observations in the subclasses

General solutions of the analysis of variance in the case of unequal numbers of observations in the subclasses are presented. If we havek criteria for the classification, there will bek! solutions in making a complete analysis and 2^k–1 answers, bearing different meanings, for the sum of squares between subclasses of each criterion. The sum of squares for the interaction of any order, however, will be identical in different solutions of same problem.     

Factorial design and covariance in the study of individual educational development

This is the report of the application of the principles of factorial design to an investigation of individual educational development. The specific type of factorial design formulated was a 2 × 3 × 3 × 3 arrangement, that is, the effect of sex, grade location, scholastic standing, and individual order, singly and in all possible combinations was studied in relation to educational development as measured by theIowa Tests of Educational Development. An application of the covariance method was introduced which resulted in increased precision of this type of experimental design by significantly reducing experimental error. The two concomitant measures used to increase the sensitiveness of the experiment were initial status of individual development and mental age. Without these statistical controls all main effects and two first-order interactions would have been accepted as significant. With their use only sex (doubtful), scholastic standing, and individual order demonstrated significant effects. The chief beauty of the analysis of variance and covariance as an integral part of a self-contained experiment is demonstrated in the complete single analysis of the data. The statistical utilization of the experimental results has also been developed for purposes of estimation and prediction. The mathematical statistician is being continuously required to develop and analyze experimental designs of increasing complexity since the introduction of the analysis of variance and covariance. The mathematical formulation and solution of the problem of this investigation is carried out. The methods illustrated and explained in this study, and modifications and extensions of them are capable of very wide application. The general principles can be used to various degrees and in a number of ways.For the research grant to finance this study, grateful acknowledgment is given to the Graduate School, the University of Minnesota.     

饮酒与疾病及其面面观

当今 ,处于“道德革命”阶段的芸芸众生中 ,无疑有许多酒制品 (酒精 )嗜好者和酒精 (Ａｌｃｏｈｏｌ)依赖者 ,酒精似乎已成为这些人生活乃至生命的一部分 ,虽然很难说是全部。由于酒精是一种合法毒品(Ｎａｒｃｏｔｉｃｓ) ,因此大多数人确实对酒精是一种危险的毒品这一事实失去警觉 ,但现今酒业与饮酒者已“血肉相联”而“不可分割” ,嗜酒或酒精引起的疾病、凶杀、各种暴力犯罪 (如性犯罪 )等社会问题大增。“酒现象”在产生酒文化的同时也产生上述诸多“酒问题” ,就象知识在有时 (指知识在没有道德的指引时 )是“最危险”的一样 ,某种文…     

厌恶情绪与自杀行为的关系

自杀导致人类死亡的人数与日俱增,然而自杀的心理机制却并不清楚。最近研究发现,厌恶情绪是导致自杀的主要情绪因素,个体因为自身厌恶而走向自杀。厌恶情绪是一种对自己和他人排泄物等反感的基本情绪,促进个体远离毒性和疾病,从而产生“免疫行为”。许多心理问题来自于对周围人或事物的厌恶,有自杀行为的个体对自身极其厌恶,说明他们的厌恶情绪出现了问题。如同躯体免疫攻击自身一样,自身厌恶是自杀意念的关键因素,早年创伤是其根源,生活压力和精神疾病也参与厌恶诱发自杀意念。厌恶诱发自杀意念的神经基础与HPA轴和五羟色胺系统有关。未来研究可利用神经影像和电生理等神经科学技术,检验自杀行为的神经机制,探讨厌恶情绪影响自杀行为的心理和神经机制。     

听障大学生汉语阅读中的绕口令效应：口语经验和阅读能力的影响

听障者阅读时是否激活语音信息是听障者阅读研究领域的热点问题之一。本研究使用眼动技术,采用绕口令材料,考察口语经验和阅读能力对听障大学生汉语阅读中语音激活的影响。结果发现,口语经验较多且阅读能力较高(OHRH)的听障大学生的绕口令效应大于口语经验较少但阅读能力较高(OLRH)的听障大学生,OLRH组的绕口令效应大于口语经验较少且阅读能力较低(OLRL)的听障大学生。局部指标分析发现OHRH和OLRH组在早期和晚期指标上均存在绕口令效应,OLRL组只在晚期指标上才出现绕口令效应。结果表明,口语经验和阅读能力影响听障大学生汉语阅读中的语音激活。     

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.     

Small-angle X-ray scattering study on the fractal structure of solid products of bituminous coal at different carbonization temperatures

Carbonization is one of the main methods for comprehensive utilization of bituminous coal. Bituminous coal and its solid products from carbonization, namely char and coke, have complex pore structures, which can be characterized by fractals. We performed a study on the fractal structure of the solid products prepared from the bituminous coal of Shuiyu mine in Shanxi Province, China, at different carbonization temperatures (25°C～1000°C) by synchrotron radiation small-angle X-ray scattering (SAXS). The results show that the bituminous coal has a surface fractal structure during the whole carbonization process. The variation of fractal dimension with carbonization temperature illustrates the different stages of the carbonization process.