Comparing Chinese youth with American youth on adjustment: An illustration of measurement issues in cross-cultural research

In this article, we used results from two studies to show the need to go beyond linguistic equivalence to establish construct validity and measurement invariance in cross-cultural research. Study 1 examined Rosenberg Self-Esteem (RSE; 10 items) data from 156 Mainland Chinese youth (M = 13.8 years, SD = .53) and 213 Chinese-American youth (M = 13.6 years, SD = 2.1) from high socioeconomic status (SES) families. The Chinese translation of the RSE has been widely used. Study 2 included 1060 Mainland Chinese youth (M = 15.6 years, SD = 2.3) and 412 racially diverse American youth (M = 16.0, SD = 2.9) from all SES backgrounds. Data were collected with the third and newest edition of the Behavioural Assessment System for Children-Self Report of Personality (BASC-3-SRP; 189 items). We translated and back-translated the BASC-3-SRP between English and Chinese to establish linguistic equivalence. All participants were females. Study 1 showed that the RSE had acceptable internal consistency but lacked construct validity. Study 2 showed that the original and the translated BASC-3-SRP had good internal consistency and construct validity, but nine of its 16 subscales lacked measurement invariance. These results highlight measurement issues facing international and cross-cultural research.     

中国人社会善念的心理结构

为探究中国人社会善念的心理结构, 研究采用人格词汇法, 在开放调查收集的词汇中选取代表社会善念的心理词语, 确立了社会善念词库。通过两次探索性因素分析和验证性因素分析, 得到包含18个人格特质词的社会善念词汇评定量表和包含17项描述的社会善念自陈量表。研究表明, 中国人的社会善念是一种具有二阶四因素结构的人际特质, 二阶是指宜人特质和外倾特质, 四因素分别是善良尊重、谦和恭逊、包容理解和积极开放。     

价值观的稳定性与可变性

价值观是人们区分好坏、善恶、美丑、损益、是非的信念系统,通常是充满情感的。价值观具有稳定性与可变性的特点。价值观的稳定性表现为:基本价值观具有跨时间的稳定性和跨情境的一致性; 特别是保护性价值观和人生价值观具有较强的稳定性。个人的发展、经历重大事件以及实验干预可导致价值观的改变,可变性主要表现为价值观的重要性发生变化。从我国的实际出发,探讨个人的核心价值观问题、以及价值观研究中国化、价值观研究对价值观教育的启示,乃是我们今后研究的关注点。     

Correlations between Dual-Pathway White Matter Alterations and Language Impairment in Patients with Aphasia: A Systematic Review and Meta-analysis

Neuropsychology Review - While converging evidence suggests linguistic roles of white matter tracts, detailed associations between white matter alterations of dual pathways and language abilities...     

Selfish power and unselfish status in Chinese work situations

The present research explored the selfishness of power and status as well as the mechanism in Chinese work situations. By using experimental and survey methods, two studies were designed to investigate the relationships among power, status, and self‐interested behaviour (SIB) as well as the mediating effect of perspective‐taking (PT). Results of the two studies consistently indicated that power increases whereas status reduces SIB. These opposing behavioural effects are partially attributed to the fact that power reduces whereas status increases PT. In addition, our results showed an interaction between power and status on SIB in Study 1 (interaction as a mental function), and a positive correlation between perceived power and status in Study 2 (correlation as a mental perception). Through the discussion from the perspective of the self/other‐orientation trait, as well as the stable effects of power and status on SIB in the two studies, we conclude that power is selfish and status is unselfish in Chinese work situations.     

象似性和手语学习经验对中国手语-汉语跨模态语义启动效应的影响

采用启动条件下的词汇判断任务,考察熟练手语使用者和无手语经验成年听人的跨模态语义启动效应。结果发现：1)在象似词条件下,两组被试判断汉语语义相关词的反应时均快于语义无关词,说明手语象似词和汉语词之间存在跨模态语义启动效应。2)在非象似词条件下,仅手语熟练被试判断汉语语义相关词的反应时快于语义无关词,无手语经验被试判断汉语语义相关词和无关词的速度没有差异。这是由于前者心理词库中的手语词和口语词共享语义表征,而后者主要依赖手语象似词的视觉模拟性。整个研究表明,中国手语和汉语间存在跨模态语义启动效应,但该效应受到手语词象似性和手语学习经历的调节。     

孔子的诚信思想及其社会意义

在孔子思想中,诚信作为一项重要的道德规范,在社会生活的诸多领域发挥着重要作用。就每一个人而言,它是人自身安身立命、成就事业的基础和条件;就人们之间的关系而言,它是人与人之间正常交往、友好相处、建立良好人际关系的重要纽带;就经济和商业活动而言,它是降低成本、提高效益、保障其健康有序运行的前提;就社会政治领域而言,它是基本的立国立民之道,是一个社会文明繁荣、稳定发展的重要保证。今天,在诸多生活领域出现所谓“信用危机”的情况下,批判地继承和弘扬孔子的诚信思想,深入挖掘传统诚信资源,确立诚信观念,对于和谐的人际关系的建立,对于克服经济活动、人际交往和政府行为中的信用危机和失信现象,对于实现社会风气的根本好转,都有着极为重要的意义。     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.