多面体的一面:第二语言学习的社会化过程

第二语言学习过程是社会互动情景中的言语活动,"热"的社会化过程是第二语言学习过程的有机组成部分;形成第二语言情景下的文化心理参照系认知能力和文化适应能力是第二语言的言语能力重要内容;第二语言学习过程中的言语变异现象部分源于学习者的社会心理结构特征。     

基于原型特征因果关系的归纳推理研究

两个实验探讨新特征与类别原型特征之间存在因果关系时,因果关系对归纳推理的影响.实验1探讨不同典型性条件下,新特征与原型特征间的因果关系对归纳推理的影响.实验2探讨不同多样性条件下,新特征与原型特征间的因果关系对归纳推理的影响.研究结果表明,当新特征与原型特征之间存在因果关系时,因果关系会影响归纳推理的力度,但样例典型性和多样性仍是影响人们归纳推理的重要因素.     

小学4～6年级儿童数学应用题表征模型的使用研究

该研究考察了小学4～6年级学生在数学应用题中理解阶段和执行阶段使用表征模型的情况,研究运用实验法对某普通小学的158名4～6年级学生进行了应用题改写任务和缩写任务.结果表明：（1）学生在理解阶段更多地选择情境条件,使用情境模型来表征问题;在执行阶段较少选择情境条件,转而使用问题模型来表征问题;（2）随着年级的升高,相对于优等生来说,其他学生在缩写任务中对情境条件的选择数量越来越少,而优等生在这方面一直都做得很好.差等生识别多余条件的能力并没有随着年级的升高而发生改变,而优等生却在不断增强.     

Magnetic-field dependence of nucleation undercoolings in non-magnetic metallic melts

The nucleation undercoolings of non-magnetic metals like paramagnetic aluminium in high magnetic fields were measured by the differential thermal analysis technique. It was shown that the nucleation undercooling of pure aluminium increased with increasing the magnetic field, while its melting temperature was hardly changed. Based on the model of magnetic dipoles at the interface, it is proposed that the magnetic-field-induced interfacial energy mainly contributes to the increase in undercooling. The change in undercooling in the magnetic field is calculated theoretically, which is in comparison with experimental data. Additionally, the inhibition of atom diffusion in the magnetic field plays a role in the change of undercooling.     

When Are People Unhappy? Corruption Experience,Environment, and Life Satisfaction in Mainland China

Previous research on corruption and happiness has typically considered corruption perception as an indicator of government quality; however, the impact of direct personal experience of corruption has been largely overlooked. The current research, using the Asian Barometer Survey I data set on China, fills this gap. We found that the negative effects of personal experience of corruption on happiness are moderated by the general corruption environment, as measured by the corruption–victimization rate of a province. Corruption experience reduces life satisfaction significantly only when the external environment has a low level of corruption. We applied concepts from the broken windows theory to provide theoretical explanations for this phenomenon and used a series of models to test the robustness of our findings.     

Is the Lateralized Categorical Perception of Color a Situational Effect of Language on Color Perception?

This study investigated whether and how a person's varied series of lexical categories corresponding to different discriminatory characteristics of the same colors affect his or her perception of colors. In three experiments, Chinese participants were primed to categorize four graduated colors—specifically dark green, light green, light blue, and dark blue—into green and blue; light color and dark color; and dark green, light green, light blue, and dark blue. The participants were then required to complete a visual search task. Reaction times in the visual search task indicated that different lateralized categorical perceptions (CPs) of color corresponded to the various priming situations. These results suggest that all of the lexical categories corresponding to different discriminatory characteristics of the same colors can influence people's perceptions of colors and that color perceptions can be influenced differently by distinct types of lexical categories depending on the context.     

SenseCam reminiscence and action recall in memory-unimpaired people

Case studies of memory-impaired individuals consistently show that reminiscing with SenseCam images enhances event recall. This exploratory study examined whether a similar benefit would occur for the consolidation of memories in memory-unimpaired people. We tested delayed recall for atypical actions observed on a lengthy walk. Participants used SenseCam, a diary, or no external memory aid while walking, followed by reminiscence with SenseCam images, diary entries, or no aid, either alone (self-reminiscence) or with the experimenter (social reminiscence). One week later, when tested without SenseCam images or diary entries, prior social reminiscence produced greater recall than self-reminiscence, but there were no differences between memory aid conditions for action free recall or action order recall. When methodological variables were controlled, there was no recall advantage for SenseCam reminiscence with memory-unimpaired participants. The case studies and present study differ in multiple ways, making direct comparisons problematic. SenseCam is a valuable aid to the memory impaired, but its mnemonic value for non-clinical populations remains to be determined.     

Bias and Efficiency in Structural Equation Modeling: Maximum Likelihood Versus Robust Methods

In the structural equation modeling literature, the normal-distribution-based maximum likelihood (ML) method is most widely used, partly because the resulting estimator is claimed to be asymptotically unbiased and most efficient. However, this may not hold when data deviate from normal distribution. Outlying cases or nonnormally distributed data, in practice, can make the ML estimator (MLE) biased and inefficient. In addition to ML, robust methods have also been developed, which are designed to minimize the effects of outlying cases. But the properties of robust estimates and their standard errors (SEs) have never been systematically studied. This article studies two robust methods and compares them against the ML method with respect to bias and efficiency using a confirmatory factor model. Simulation results show that robust methods lead to results comparable with ML when data are normally distributed. When data have heavy tails or outlying cases, robust methods lead to less biased and more efficient estimators than MLEs. A formula to obtain consistent SEs for one of the robust methods is also developed. The formula-based SEs for both robust estimators match the empirical SEs very well with medium-size samples. A sample of the Cross Racial Identity Scale with a 6-factor model is used for illustration. Results also confirm conclusions of the simulation study.     

道德决策的机制及干预研究:自我相关性与风险水平的作用

现有的道德决策脑机制研究更多地关注了认知和情绪的交互作用,较少关注个体对"自我相关性"和"风险水平"信息的整合加工,更是忽视了帮助情境和伤害情境下道德决策的心理与脑机制的异同。因此,有必要通过行为、事件相关电位(ERP)和多模态脑功能成像(f MRI)等多种方法来系统考察帮助和伤害情境下自我相关性和风险水平交互影响道德决策的认知和神经机制,并进一步探讨共情训练对道德决策的干预作用。旨在揭示道德决策的时间进程和神经基础;探寻自我相关性与风险水平对道德决策的影响,及其在不同情境和共情水平下可能存在的变异;共情训练能否有效提升个体的道德决策水平。