儿童阅读与心理理论间的关系

阅读与心理理论(theory of mind, ToM)在儿童发展过程中都发挥着重要的作用,梳理文献发现两者可能存在双向促进作用。儿童通过与家长或老师的共享阅读,启动联合注意,使用心理状态术语进行对话,进一步根据社会想象力,模拟社会互动,从而促进儿童心理理论发展。另一方面,在阅读过程中,心理理论能够助力儿童从宏观的阅读观的建立、元认知阅读策略的使用、故事情境模型的构建,到微观具体的短语、句子、语篇和多文本的理解等能力的提高,这些证据揭示了心理理论可以从多方面促进儿童阅读能力的发展。进一步的神经生理证据发现,阅读和心理理论这两个过程的神经活动是有一定重叠的。由此推测,两者可能具备潜在的双向促进关系。未来需要更深入和长期的纵向追踪研究为两者的关系提供丰富的实证证据。此外,还应进行更多中国的低龄儿童的研究。随着科技的发展和线上课程的盛行,也应更多关注多媒体内容阅读对儿童心理理论的影响。     

突发事件中民众责任归因的心理需求与应对

突发事件发生后,通过责任归因对事件原因和责任归属进行推断是民众心理活动的重要特征之一。从民众心理需要来看,突发事件带来的不确定感驱使个体寻找事件的解释来实现认知闭合,控制感的不足则会让个体更加强调外部世界的秩序性,这两种需要也是事件中阴谋论传播和替罪羊效应的心理基础。相应地,在事件中负有责任的组织主体,也应当基于民众的心理需要采取适当的应对策略,来重塑组织形象和民众的信任,避免责任规避带来的负面效应。未来研究可以进一步从心理学视角补充整合性的实证证据,对突发事件的不同类型进行区分,关注责任归因与其他社会心理学变量之间的联系,以及探索适合中国社会的有效应对措施。     

大学生压力量表的编制

本文旨在介绍大学生压力量表的编制及其标准化过程。本量表的编制过程分五个步骤 ,其中包括两个分研究。被试为北京市两所高校的一至三年级大学生 ,共 50 7人。结果显示 :本大学生压力量表的内部一致性为非常满意 (Cronbachα=0 .91 ) ,6个月后的重测信度为满意 (Cronbachα =0 .78) ,结构效度可靠。     

影响大学生参与网上招聘意向的因素模型

该研究基于“计划行为理论”探索了影响大学生参与网上招聘意向的因素模型。研究结果证实了创建的模型对大学生参与网上招聘意向的预测和解释效力:(1)态度、针对网上招聘的特殊互联网自我效能感以及知觉到的对行为实施与否的控制力对大学生参与网上招聘的意向有显著的直接正向影响;(2)人际规范和知觉到的有用性对态度有显著的正向影响,知觉到的危险性对态度有显著的负向影响;(3)一般互联网自我效能感(ISE)对针对网上招聘的特殊ISE有显著的正向影响,对大学生参与网上招聘意向并没有直接的影响,而是通过针对网上招聘的特殊ISE这一中介变量产生间接影响。     

Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.     

I can see myself helping: The effect of self-awareness on prosocial behaviour

Many studies indicate that increasing self-awareness leads to individuals reflecting on their values and ideals (Silvia & Duval, 2001). This self-reflection appears to increase prosocial behaviour (Berkowitz, 1987). However, previously studies typically manipulated self-awareness in situations in which the individual may have felt pressure from the researcher to help. Thus, experimenter pressure to behave prosocially confounds the self-awareness explanation provided in past research. We used a novel experimental paradigm to manipulate self-awareness and remove the researcher's presence to decrease the likelihood that the participant would conform to experimenter demand. Participants were 36 college students (M_age = 19.52; 25 women). The results indicated a strong probability that the experimental condition participants were more prosocial than control condition participants. These findings provide additional support for the hypothesis that self-reflection increases prosocial behaviour, even without experimenter demands. These findings and the importance of studying objective self-awareness in light of the coronavirus are discussed.     

Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items

In analyzing responses and response times to personality questionnaire items, models have been proposed which include the so-called “inverted-U effect.” These models predict that response times to personality test items decrease as the latent trait value of a given person gets closer to the attractiveness of an item. Initial studies into these models have focused on dichotomous personality items, and more recently, models for Likert-type scale items have been proposed. In all these models, it is assumed that the inverted-U effect is symmetrical around 0, while, as will be explained in this article, there are substantive and statistical reasons to study this assumption. Therefore, in this article, a general inverted-U model is proposed which accommodates two sources of asymmetry between the response times and the attractiveness of the items. The viability of this model is demonstrated in a simulation study, and the model is applied to the responses and response times of the Temperament and Character Inventory–Revised, covering a broad range of personality dimensions.     

Personal Contact with Refugees is Key to Welcoming Them: An Analysis of Politicians' and Citizens' Attitudes Towards Refugee Integration

Politicians are influential both in directing policies about refugees and in framing public discourse about them. However, unlike other host country residents, politicians' attitudes towards refugees and integration are remarkably understudied. We therefore examine similarities and differences between politicians' attitudes towards refugee integration and those held by citizens. Based on the stereotype content model, we expect that political ideology informs stereotypes about refugees, which subsequently shape attitudes towards refugee integration. Based on the Contact Hypothesis, we further argue that personal contact with refugees reduces negative stereotypes about them—in particular for those endorsing a right-wing ideology. We draw on data collected via two surveys with 905 politicians and 8013 citizens in the Netherlands to show that (1) unlike those with a left-wing orientation, residents (i.e., both politicians and citizens) with a right-wing orientation hold more negative stereotypes about refugees, which in turn relate to more negative attitudes towards refugee integration; (2) personal contact with refugees is associated with less negative stereotypes among residents; and (3) politicians, compared to citizens, report less negative stereotypes and more positive attitudes towards refugee integration. The practical implication of fostering residents' contact with refugees as well as the implications for future research are discussed.