心理健康素质测评系统·中国成年人一般自我概念量表的编制

旨在编制适合中国成年人的一般自我概念测量工具。通过理论分析,建构了一般自我概念的四个维度,包括积极性、清晰性、悦纳性和调节性,并据此编制了中国成年人一般自我概念量表。分别选取北京地区450名和400名大学生进行预试和正式测试：验证性因素分析表明,建构的一般自我概念四维测量模型结构合理,拟合良好;项目及信效度分析表明,量表各项目区分度良好,信、效度符合心理测量学要求。因此,该量表可作为成年人一般自我概念和自我心理健康素质的测量工具。     

大学生职业成熟度的课程干预研究

为探索课程干预对提高大学生职业成熟度的效果,对120名大学生进行了10次共25小时的辅导,使用择业自我效能感(CDMSE)和职业选择态度(VDI)问卷对实验组和对照组实施了前后测量。结果表明:(1)课程干预后,实验组被试的择业自我效能感和择业态度有显著性提高。对照组被试的前后测没有显著性差异;(2)使用协方差分析控制前测影响后,实验组被试的择业自我效能感和择业态度显著高于对照组;(3)课程干预能够有效提高大学生的职业成熟度。     

Attentional bias toward waiting time information among individuals with high and low trait self-control when making intertemporal choices

ABSTRACT

The present study aimed to explore whether the modulation effects of attentional biases toward time information representing immediate rewards and delayed rewards differ between individuals with high and low trait self-control. Forty participants with high trait self-control and 40 with low trait self-control were selected based on their responses to the Chinese version of the self-control scale, and they were asked to complete an intertemporal choice task and dot probe task first and then a cue-target task a week later. The results showed that the participants with low trait self-control were more likely to choose immediate rewards than participants with high trait self-control. Furthermore, facilitated attention and difficulty in attention disengagement toward present-related words were found among participants with low trait self-control with higher frequency than among those with high trait self-control. Finally, facilitated attention toward present-related words moderated the indifference points among the participants with low trait self-control.     

“长白云国度”海外传教运动视野下的对华传教——新西兰赴华传教士(1877-1952)

新西兰对华传教史至今尚被忽略,本文尝试在国际差传体系的大视野下检视新西兰赴华传教的个案,先就人数、差会、性别比例、阶段性发展等因素作通史性勾勒,再以"英属殖民地差传国"、"小型次传教国"和"对华传教对新西兰本土的反向影响"为理论进路挖掘一些易为"外史型"学者所忽略的问题。在海内外中国教会史研究日臻细化的趋势下,新西兰兼具"中心"与"边缘"、"接收"与"差派"的双重属性,加上国土之"小"、人口之"少"、教会史之"短"、宗派之"简"等特点,皆增添了这一课题所潜藏的学术价值。     

Affective picture processing is modulated by emotion word type in masked priming paradigm: an event-related potential study

ABSTRACT

Although a large body of research demonstrates the role of language in emotion processing (e.g. emotional facial expressions), how emotion-laden words (e.g. poison, reward) and emotion-label words (e.g. fear, satisfaction) differently impact affective picture processing is not clear. Emotion-label words label affective states straightforwardly, whereas emotion-laden words engender emotion via reflection. The current study adopted the masked priming paradigm to examine how Chinese emotion-laden words and emotion-label words distinctively influence affective picture processing. Twenty Chinese speakers decided the valence of the pictures with their cortical responses recorded. Emotion-label words facilitated affective picture evaluation behaviourally. Moreover, pictures that were preceded by emotion-laden words generated larger electrophysiological activation than those preceded by emotion-label words. Combined behavioural and ERP evidence revealed that emotion word type modulated affective picture processing, suggesting different roles of emotion-laden and emotion-label words in how emotion is shaped by language.     

湘西道教胜迹——辰溪大酉观

滔滔沅江,一泻千里,源出云贵高原,支流甚多,流到湘西辰溪县城处,有辰水汇入。在两水交汇不远的地方,有一座历史名山,叫"大酉山"。此山下有观,因山得名"大酉观",系宋代以来湘西一带著名的道教场所,昔时湘西各地打醮都要到大酉观取"皇表"。     

从承认理论到民主正义论——略论南希·弗雷泽的政治哲学

弗雷泽提出要以参与平等为核心重新界定批判理论的规范基础,进一步从承认理论身份模式转向地位模式;从承认的规范一元论转向包含再分配与承认的"视角二元论";从局部的文化正义转向"一元三维"的总体的民主正义.弗雷泽的思想为弥合左派纷争,重新构建对资本主义社会的总体性批判做出了努力,反映了霍耐特承认"规范一元论"以后批判理论新的演进动向.     

Relevance theory,pragmatic inference and cognitive architecture

Relevance Theory (RT) argues that human language comprehension processes tend to maximize “relevance,” and postulates that there is a relevance-based procedure that a hearer follows when trying to understand an utterance. Despite being highly influential, RT has been criticized for its failure to explain how speaker-related information, either the speaker’s abilities or her/his preferences, is incorporated into the hearer’s inferential, pragmatic process. An alternative proposal is that speaker-related information gains prominence due to representation of the speaker within higher level goal-directed schemata. Yet the goal-based account is still unable to explain clearly how cross-domain information, for example linguistic meaning and speaker-related knowledge, is integrated within a modular system. On the basis of RT’s cognitive requirements, together with contemporary cognitive theory, we argue that this integration is realized by utilizing working memory and that there exist conversational constraints with which the constructed utterance interpretation should be consistent. We illustrate our arguments with a computational implementation of the proposed processes within a general cognitive architecture.

Abbreviations: ACT-R Adaptive Control of Thought - RationalCOGENT Cognitive Objects within a Graphical ENvironmenTCS/SS Contention Scheduling/Supervisory SystemRBCP Relevance-Based Comprehension ProcedureRT Relevance Theory     

Replies to comments on "Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?" by Yuan and Fang (2023)

Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Contrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the signal-to-noise ratio (SNR). In particular, the SNR for the regression coefficient via the least squares (LS) method with equally weighted composites is mathematically greater than that by CB-SEM if the items for each factor are parallel, even when the SEM model is correctly specified and estimated by an efficient method. Analytical, numerical and empirical results also show that LS regression using weighted composites performs as well as or better than the normal maximum likelihood method for CB-SEM under many conditions even when the population distribution is multivariate normal. Results also show that the LS regression coefficients become more efficient when considering the sampling errors in the weights of composites than those that are conditional on weights.