A Latent Gaussian process model for analysing intensive longitudinal data

Intensive longitudinal studies are becoming progressively more prevalent across many social science areas, and especially in psychology. New technologies such as smart-phones, fitness trackers, and the Internet of Things make it much easier than in the past to collect data for intensive longitudinal studies, providing an opportunity to look deep into the underlying characteristics of individuals under a high temporal resolution. In this paper we introduce a new modelling framework for latent curve analysis that is more suitable for the analysis of intensive longitudinal data than existing latent curve models. Specifically, through the modelling of an individual-specific continuous-time latent process, some unique features of intensive longitudinal data are better captured, including intensive measurements in time and unequally spaced time points of observations. Technically, the continuous-time latent process is modelled by a Gaussian process model. This model can be regarded as a semi-parametric extension of the classical latent curve models and falls under the framework of structural equation modelling. Procedures for parameter estimation and statistical inference are provided under an empirical Bayes framework and evaluated by simulation studies. We illustrate the use of the proposed model though the analysis of an ecological momentary assessment data set.     

What is the temperamental basis of humour like in China? A cross-national examination and validation of the standard version of the state–trait cheerfulness inventory

The State–Trait Cheerfulness Inventory–trait version (STCI-T60) consists of three dimensions of cheerfulness, seriousness, and bad mood integrated to measure the temperamental basis of the sense of humour. The present study replicated the three-dimensional factor structure of the STCI in China using 60 items consistent with other standard trait versions (e.g., English, Chilean-Spanish). Closer examination of associations between traits suggested bad mood showed curvilinear associations with both cheerfulness and seriousness, such that cheerfulness and bad mood were negatively associated for those low and average in trait bad mood but not for those with high trait bad mood. Seriousness was positively associated with bad mood at high levels of trait bad mood, but not at average or low levels of bad mood. Associations between the STCI traits and major personality dimensions, humour styles, and well-being were further examined. Cheerfulness and seriousness showed positive associations with satisfaction with life and emotional well-being (EWB) while bad mood showed a curvilinear association with EWB. Using multi-group confirmatory factor analyses, partial metric invariance was found between English and Chinese versions of the STCI-T60, but structural invariance was not observed. Implications based on the empirical literature in dialecticism and cross-cultural assessment were thoroughly discussed.     

State and Trait Anger Predicting Creative Process Engagement—The Role of Emotion Regulation

Drawing on the specific emotion approach, and based on the emotional regulation theory and cognitive and activation perspectives on emotions, this study examined the differentiated impact of state and trait anger on creative process engagement (CPE) and the moderating influences of emotion reappraisal and suppression. Data were obtained from daily surveys (N = 422) of 98 employees from three consultancy companies. Hierarchical linear modeling analysis revealed that trait anger has a stronger impact on CPE than state anger does. Furthermore, the relationship between state anger and CPE is stronger when emotion reappraisal is lower, rather than higher, and the relationship between trait anger and CPE is also stronger when emotion suppression is lower, rather than higher.     

Traits and Adaptations: A Theoretical Examination and New Empirical Evidence

We investigated the distinction between traits (also labelled basic tendencies or dispositions) and (characteristic) adaptations, two related features of the personality system postulated to influence how personality manifests throughout the lifespan. Traits are alleged to be universal, causal, and enduring entities that exist across cultures and through evolutionary time, whereas learned adaptations are acquired through sustained interaction with cultural, physical, and social environments. Although this distinction is central to several personality theories, they provide few measurable criteria to distinguish between traits and adaptations. Moreover, little research has endeavoured to operationalize it, let alone test it empirically. Drawing on insights from four frameworks—the Five-Factor Theory, Cybernetic Big Five Theory, Disposition–Adaptation–Environment Model, and New Big Five—we attempted to investigate the distinction both theoretically and empirically. Using various experimental rating conditions, we first scored 240 questionnaire items in their degrees of definitionally reflecting traits and/or adaptations. Next, we correlated these definitional ratings with the items' estimates of rank-order stability, consensual validity, and heritability—criteria often associated with personality traits. We found some evidence that items rated as more trait-like and less adaptation-like correspond to higher cross-rater agreement and stability but not heritability. These associations survived controlling for items' retest reliability, social desirability, and variance. The theoretical and empirical implications of these findings are discussed. © 2020 European Association of Personality Psychology     

8~12岁儿童同伴信任的发展:特质可信度和面孔可信度的预测作用

研究选取297名8~12岁儿童为被试,考察了特质可信度和面孔可信度对儿童同伴信任的预测作用及其预测力的年龄差异。研究采用同伴互评的方式来测量被试对同伴的信任分数。采用同伴提名的方式测量同伴的特质可信度分数。采用第三方评价的方式,获得同伴的面孔可信度分数。结果发现（1）同伴特质可信度和面孔可信度均能正向预测儿童的同伴信任,同伴的特质可信度和面孔可信度越高,儿童对其信任程度也越高。（2）特质和面孔可信度之间存在显著的交互作用。当同伴的面孔可信度高时,特质可信度对儿童同伴信任的预测作用也更大。（3）特质可信度对同伴信任的预测作用随着年龄增长而变大,而面孔可信度对同伴信任的预测作用不存在年龄差异。     

眼睛线索下公我意识启动对利他行为的影响

给个体呈现一副正视前方的眼睛线索,会使个体的行为发生明显的变化,即出现眼睛效应。以往研究发现,特质公我意识较高的个体在眼睛线索下会表现出更多利他行为。本研究采用句子重组任务启动被试的状态公我意识,通过独裁者博弈任务,考察眼睛线索与公我意识交互作用对利他行为的影响。结果发现,启动公我意识和呈现眼睛线索均可以显著提高被试的利他行为;更重要的是,眼睛线索下启动公我意识可以促进利他行为。该结果表明,眼睛线索与公我意识交互作用影响个体的利他行为。     

Analysis of the factors affecting drivers’ queue-jumping behaviors in China

In China, drivers’ queue-jumping behaviors are very common. To explore the factors affecting drivers’ queue-jumping, first, a driving attitude scale, a risk perception scale and a queue-jumping behavior scale were designed, and an existing Type A behavior pattern scale and a driver skill scale were also introduced. Second, these scales were used to collect empirical data, and 202 valid samples were obtained. Third, the reliability and validity of the developed scales were verified, and a structural equation model of drivers’ queue-jumping behaviors was established to explore the interrelationships among the Type A personality trait, cognitions (including attitudes and risk perception), driver skills (including driving skill and safety motivation) and queue-jumping behaviors. The results showed that drivers’ cognitions significantly affected their queue-jumping behaviors; specifically, drivers’ attitudes toward queue-jumping and traffic violations positively correlated with their queue-jumping behaviors (β = 0.323, t = 3.470; β = 0.277, t = 3.072), while drivers’ risk perception toward queue-jumping negatively correlated with their queue-jumping behaviors (β = −0.297, t = −3.889). Drivers’ driving skill and safety motivation also significantly affected their queue-jumping behaviors (β = 0.198, t = 2.385; β = −0.355, t = −4.101). Although Type A personality trait had no significant effects on drivers’ queue-jumping behaviors, it had significant effects on drivers’ attitudes toward queue-jumping and traffic violations (β = 0.336, t = 4.720; β = 0.215, t = 2.873) and their risk perceptions toward queue-jumping (β = −0.232, t = −3.279). In other words, the Type A personality trait can indirectly affect drivers’ queue-jumping behaviors through drivers’ attitudes and risk perceptions toward queue-jumping. The results provided offer traffic administration departments a theoretical foundation for governing this behavior.     

知觉者与行为者贫富对自发特质推理的影响

本研究采用探测词再认范式,分3个研究考察了知觉者和行为者的贫富对个体自发特质推理的影响。研究1考察了知觉者贫富对自发特质推理的影响,结果表明富裕启动条件下的被试更可能进行自发特质推理。研究2考察了行为者贫富对自发特质推理的影响,结果表明被试更有可能对富人刻板一致的行为句子进行自发特质推理。研究3考察了知觉者和行为者贫富对自发特质推理的交互影响,结果发现仅富裕启动条件下的被试更可能对富人刻板一致句子进行自发特质推理。本研究为自发特质推理发生的灵活性提供了新证据。     

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。     

心理健康素质测评系统·基本概念、理论与编制构思

作为《心理健康素质测评系统的研制》的开篇报告,本文界定了《心理健康素质测评系统》中所涉及的几个基本概念:素质,心理素质,心理健康,心理健康素质。在经典的素质-应激模型的基础上,提出"应激-素质相互作用模型",作为心理素质影响健康的理论模型。确定了可以用来反映中国成年人心理健康素质的8种心理特质和"类特质"(自我概念,人际心理素质,坚韧性,弹性特质,情绪性,社会期许性,生活信念和健康信念)和两种"亚特质"(认知风格和应对风格)。制定了测评系统的研制计划,并规定了量表编制的技术要求和所要达到的心理测量学指标。