Why are negative behaviours likely to be immediately invoked traits? The effects of valence and frequency on spontaneous trait inferences

People make trait inferences immediately when observing others’ behaviours. Previous studies reported that this spontaneous trait inference (STI) occurs more strongly from negative behaviours than from positive behaviours. However, what is responsible for this negativity bias in STI is unclear. In this study, two experiments investigated the effects of valence (an event's affective positivity or negativity) and frequency (how frequently the behaviour is observed in everyday life) on the occurrence of STI using an adapted version of a savings‐in‐relearning paradigm. Experiment 1 revealed that only valence affected the frequent occurrence of STI. In addition, the instructions to suppress impression formation or to focus attention on an actor's face made no difference to the results. In Experiment 2, the negativity bias in STIs was shown a week after exposure to the behavioural stimuli. These results suggest that the negativity bias in STIs occurs robustly, and the negative valence of observed behaviour is mostly responsible for the negativity bias in STI. The importance of immediate categorization of negative stimuli is discussed in terms of ecological priority.     

心理研究中引入贝叶斯统计推断的必要性、应用思路与领域

本文从科学范式演变和概率统计推断特征分析出发,就贝叶斯统计推断引入心理学的必要性、怎么应用、在哪些领域应用集中进行了论述。首先在分析科学范式演进各阶段统计推断任务需要、经典的频率概率统计推断不足基础上,得出科学范式处于危机和革命阶段时需要对相关理论做可信度检验。然后,在介绍贝叶斯定理及其统计推断的基础上,进一步分析了贝叶斯推断能解决理论可信度的多种假设检验情景。最后本文还就贝叶斯统计推断在心理学理论争鸣与建构、心理技术产品开发与评估具体领域应用做了分析。     

施动感研究的意向捆绑范式述评

施动感是自我意识的一个重要部分。意向捆绑即人的动作及动作的感觉结果两者的时间点主观上被感知为相互靠近的现象,为研究人类的施动感提供了一个重要的测量手段。本文综述意向捆绑的实验范式和认知机制,发现目前线索整合理论能最好的解释意向捆绑现象。意向捆绑的范式可以用于临床疾病和跨文化的研究。今后还应深入研究意向捆绑机制及意向捆绑与施动感的关系。     

Analyzing the RULEX model of category learning

Recent approaches to human category learning have often (re)invoked the notion of systematic search for good rules. The RULEX model of category learning is emblematic of this renewed interest in rule-based categorization, and is able to account for crucial findings previously thought to provide evidence in favor of prototype or exemplar models. However, a major difficulty in comparing RULEX to other models is that RULEX is framed in terms of a stochastic search process, with no analytic expressions available for its predictions. The result is that RULEX predictions can only be found through time consuming simulations, making model-fitting very difficult, and all but prohibiting more detailed investigations of the model. To remedy this problem, this paper describes an algorithmic method of calculating RULEX predictions that does not rely on numerical simulation, and yields some insight into the behavior of the model itself.     

命题内容对青少年条件推理的影响

选取3个具体内容的条件命题作为实验材料,以小四、初一、高一、大三的学生为被试,探讨了命题内容对青少年条件推理的影响机制及其发展特点。结果表明:(1)对同一年级而言,不同内容的条件命题的相同推理(MP、MT、DA、AC)之间表现出显著的差异;对不同年级而言,相同内容的条件命题的四种推理之间也存在显著的差异。(2)青少年的条件推理过程似乎是一种基于对事件发生概率估计的直觉判断,这一判断过程主要取决于个体知识经验的增长和主体认知水平的提高,而用形式逻辑的标准来衡量个体条件推理能力的高低似乎并不妥当。     

Examining the durability of incidentally learned trust from gaze cues

In everyday interactions we find our attention follows the eye gaze of faces around us. As this cueing is so powerful and difficult to inhibit, gaze can therefore be used to facilitate or disrupt visual processing of the environment, and when we experience this we infer information about the trustworthiness of the cueing face. However, to date no studies have investigated how long these impressions last. To explore this we used a gaze-cueing paradigm where faces consistently demonstrated either valid or invalid cueing behaviours. Previous experiments show that valid faces are subsequently rated as more trustworthy than invalid faces. We replicate this effect (Experiment 1) and then include a brief interference task in Experiment 2 between gaze cueing and trustworthiness rating, which weakens but does not completely eliminate the effect. In Experiment 3, we explore whether greater familiarity with the faces improves the durability of trust learning and find that the effect is more resilient with familiar faces. Finally, in Experiment 4, we push this further and show that evidence of trust learning can be seen up to an hour after cueing has ended. Taken together, our results suggest that incidentally learned trust can be durable, especially for faces that deceive.     

Bayes and blickets: effects of knowledge on causal induction in children and adults

People are adept at inferring novel causal relations, even from only a few observations. Prior knowledge about the probability of encountering causal relations of various types and the nature of the mechanisms relating causes and effects plays a crucial role in these inferences. We test a formal account of how this knowledge can be used and acquired, based on analyzing causal induction as Bayesian inference. Five studies explored the predictions of this account with adults and 4-year-olds, using tasks in which participants learned about the causal properties of a set of objects. The studies varied the two factors that our Bayesian approach predicted should be relevant to causal induction: the prior probability with which causal relations exist, and the assumption of a deterministic or a probabilistic relation between cause and effect. Adults' judgments (Experiments 1, 2, and 4) were in close correspondence with the quantitative predictions of the model, and children's judgments (Experiments 3 and 5) agreed qualitatively with this account.     

An essay on inequalities and order-restricted inference

This essay was prompted by a concern on the part of many senior members of the Society for Mathematical Psychology that the training of contemporary cognitive scientists exhibits a trend away from quantitative sophistication. Such a trend, if it goes unchallenged, can only serve to further marginalize mathematical psychology. There are several ways to combat this disturbing situation. Members of the Society might involve themselves more vigorously with scientific problems that are widely viewed as substantively or methodologically important, problems that require technical skill for their resolution; one example, discussed here, concerns order-restricted inference. We can also do more to encourage graduate students to develop and explore sophisticated theoretical models by giving them the tools to do so; that last battle must take place in the classroom.     

Bayesian Estimation of Circumplex Models Subject to Prior Theory Constraints and Scale-Usage Bias

This paper presents a hierarchical Bayes circumplex model for ordinal ratings data. The circumplex model was proposed to represent the circular ordering of items in psychological testing by imposing inequalities on the correlations of the items. We provide a specification of the circumplex, propose identifying constraints and conjugate priors for the angular parameters, and accommodate theory-driven constraints in the form of inequalities. We investigate the performance of the proposed MCMC algorithm and apply the model to the analysis of value priorities data obtained from a representative sample of Dutch citizens. We wish to thank Michael Browne and two anonymous reviewers for their comments. The data for this study were collected as part of the project AIR2-CT94-1066, sponsored by the European Commission.     

类别学习中两种学习模式的比较研究：分类学习与推理学习

采用学习迁移任务范式,使用基于单一特征的类别判断技术,比较了非线性分离结构下,分类学习和推理学习的学习效率、学习过程与策略和学习结果。结果表明：在学习效率上,分类学习比推理学习更好地习得了含有较多样例的类别知识,分类学习的速度上显著快于推理学习。在学习的过程与策略上,推理学习比分类学习更为关注类别内不同特征的相关,但在分类策略的运用上不如分类学习灵活。在学习的结果上,推理学习倾向于原型记忆,分类学习倾向于进行样例记忆,分类学习比推理学习更好地掌握了类别原型