人际感恩:社会交往中重要的积极情绪

人际感恩是指个体由于接受了他人善意提供的具有一定价值的恩惠而诱发的一种愉悦的、心怀感激而意欲报答的认知性情绪。情境评估过程是人际感恩得以产生的关键环节。此外,人际感恩的产生还会受到受惠者自身特点、双方关系特点等因素的影响。情节剧本、真人互动等任务是研究人际感恩的常见范式。另外,人际感恩还具有个体、二元、团体三个层面的功能。加强人际感恩神经生理机制的研究,考察由人际感恩到特质感恩的培养路径,拓展人际感恩的功能研究,探索中国文化背景下的人际感恩是未来人际感恩的研究方向。     

暴力犯攻击行为与焦虑的关系:CU特质的调节作用

采用冲动性/预谋性攻击量表、冷酷无情特质量表和特质焦虑量表,以山东省某中型监狱341名成人暴力犯为被试考察两类攻击、CU特质水平和特质焦虑之间的关系。结果表明:(1)CU特质水平与两类攻击正相关,与特质焦虑呈负相关,特质焦虑水平能够预测成人暴力犯的冲动性攻击。(2)个体的CU特质水平能够调节特质焦虑与冲动性攻击之间的关系,具体表现为特质焦虑水平对低CU特质个体的冲动性攻击影响大于高CU特质个体。     

越“八卦”越沉迷:人际好奇与大学生社交网站成瘾倾向的关系

本研究基于“使用与满足”理论和有限自制力理论,探讨人际好奇与大学生社交网站成瘾倾向的关系,并在此基础上建构了一个有调节的中介模型,考察错失恐惧的中介作用和特质自我控制的调节作用。采用方便抽样法对湖北省和河南省各一所综合性大学621名使用微信朋友圈或QQ空间的学生进行问卷调查,结果显示：（1）人际好奇与错失恐惧、社交网站成瘾倾向显著正相关,与特质自我控制显著负相关;错失恐惧与特质自我控制显著负相关,与社交网站成瘾倾向显著正相关;特质自我控制与社交网站成瘾倾向显著负相关;（2）错失恐惧在人际好奇与大学生社交网站成瘾倾向之间起中介作用,特质自我控制调节该中介路径的后半段。具体而言,相对于高特质自我控制的大学生,间接效应对于低特质自我控制的大学生更加显著。本研究结果揭示了人际好奇对大学生社交网站成瘾倾向的影响及其作用机制,对大学生社交网站成瘾的干预具有一定的指导意义。     

A latent state-trait anxiety model and its application to determine consistency and specificity coefficients

Abstract

In the present study the consistency model (Steyer, 1987) was applied to data gathered with the German version of the State-Trait Anxiety Inventory (Laux, Glanzmann, Schaffner, and Spielberger, 1981). The questionnaire was presented twice to 64 university students with an interval of two months between first and second testing. The consistency and specificity coefficients, estimated by LISREL (Jöreskog and Sörbom, 1984), support the state-trait distinction. The state variables have high specificity and consistency coefficients; the trait variables, in contrast, have high consistency coefficients but low or even negligible specificity coefficients. The discussion points out the advantages of the consistency model over the stability model; the most important advantage is that the theoretical structure of the consistency model is more appropriate for the type of application considered. It contains a state factor for each occasion of measurement and a trait factor common to all occasions of measurement. In the stability model, only latent states, but no latent traits occur. Consistency, specificity, and reliability can be identified as proportions of variance determined by latent variables specified in the model. Therefore, data analysis provides statistics concerning the practical significance of the trait and of the effects of situations and/or interactions.     

Perceived causality and perceived force: Same or different?

Visually perceived interactions between objects, such as animated versions of billiard ball collisions, give rise to causal impressions, impressions that one object produces some effect in another, and force impressions, impressions that one object exerts a certain amount of force on another. In four experiments, evidence for strong divergence between these two impressions is reported. Manipulations of relative direction of motion and point of contact between the objects had different effects on the causal and force impressions (Experiment 1); delay between one object contacting another and the latter starting to move had a stronger effect on the causal impression than on the force impression (Experiment 2); a context of other moving objects significantly weakened the causal impression but not the force impression (Experiment 3); and there was an inverse relation between an impression of one object penetrating another and the amount of force the former was perceived as exerting on the latter (Experiment 4). These findings are explained in terms of differential effects of instructions on attention, and also in terms of differences in meaning between force and causality.     

Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification

Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face — judgments that can have important societal and personal consequences. In recent years, deep convolutional neural networks (DCNNs) have proven adept at representing the identity of a face from images that vary widely in viewpoint, illumination, expression, and appearance. These algorithms are modeled on the primate visual cortex and consist of multiple processing layers of simulated neurons. Here, we examined whether a DCNN trained for face identification also retains a representation of the information in faces that supports social‐trait inferences. Participants rated male and female faces on a diverse set of 18 personality traits. Linear classifiers were trained with cross validation to predict human‐assigned trait ratings from the 512 dimensional representations of faces that emerged at the top‐layer of a DCNN trained for face identification. The network was trained with 494,414 images of 10,575 identities and consisted of seven layers and 19.8 million parameters. The top‐level DCNN features produced by the network predicted the human‐assigned social trait profiles with good accuracy. Human‐assigned ratings for the individual traits were also predicted accurately. We conclude that the face representations that emerge from DCNNs retain facial information that goes beyond the strict limits of their training.     

特质标签对儿童错误信念理解的影响

该研究将错误信念任务中主人公加上"聪明"或"笨"的标签,以考察特质标签是否会影响儿童对错误信念的理解。360名5~8岁儿童参加实验,每个年龄组儿童随机分配到"聪明"标签组、无标签组和"笨"标签组。结果表明:(1)"聪明"标签会极大地阻碍67、岁儿童理解他人错误信念,对5、8岁儿童没有影响;(2)"笨"标签对所有年龄组儿童错误信念的理解都没有产生影响。     

编制中国人个性测量表(CPAI)的意义与程序

从1990年开始中国科学院心理研究所与香港中文大学心理系合作,编制“中国人个性测量表”(CPAI)。编制方法严格按照个性测验编制程序进行。共分四个步骤,一、建立正常与病态个性量表的框架。二、构成量表的项目。三、测量表的最后确定。四、量表的标准化工作。编制出的测量表共包括22个正常个性量表,12个病态个性量表及2个效度量表,共510个项目。经实践检验与统计分析,证明该测量表具有一定的信度与效度。     

大学生特质移情与网络利他行为:网络社会支持的中介效应

为了探讨大学生特质移情与网络利他行为之间的关系,以及网络社会支持在其中所起的中介效应,本研究采用特质移情量表、青少年网络社会支持量表和大学生网络利他行为量表对560名大学生进行调查,结果表明:(1)大学生的整体特质移情能力较高,且女生显著高于男生;其所获得的网络社会支持总体状况良好,且不存在显著的性别差异;网络利他行为处于中等水平,也不存在显著的性别差异。(2)大学生特质移情和网络社会支持均显著正向预测网络利他行为。(3)大学生网络社会支持在特质移情与网络利他行为的关系之间起完全中介作用,其中,网络社会支持的两个分维度情感支持和友伴支持在特质移情与网络利他行为之间的中介效应更为显著。     

正念研究的分歧：概念与测量

正念是当代临床健康心理学领域出现的一个新概念, 尽管其应用在临床领域取得了瞩目的成绩, 但对于正念的理论研究却亟待加强。在对正念的三阶段概念演进过程及四种取向的测量工具进行了系统梳理与评价后, 发现目前对正念的理论研究存在两大问题。一是概念不够清晰, 它可以指代一种行为(冥想)、心理状态、心理过程, 甚至是一种人格或类人格特质; 二是测量过于多元, 有状态取向、能力取向、认知取向和特质取向。两大问题的核心在于如何理解正念。基于对问题的分析及以往实证研究, 建议可以借鉴价值实践分类体系(Values In Action Classification), 以类特质为取向, 采用兼顾文化共同性和特殊性的方法, 深入挖掘其独特的核心内涵, 在命名、测量上突显个体对当下经验留心的基本特点。