符号数量和非符号数量的空间表征:5岁儿童的SNARC效应和距离效应

对物理刺激的数量信息表征是符号数字表征的前提和基础,据此假设在儿童的SNARC效应发生的时序问题上,非符号数量(如面积)的空间表征早于符号数量(如阿拉伯数字)的空间表征。本研究邀请5岁幼儿完成数字比较和面积比较两类任务,结果发现在数字比较任务中没有出现SNARC效应,但却存在距离效应;在面积比较任务中出现了SNARC效应和距离效应。可以推断,在阿拉伯数字的空间表征出现之前,儿童已经能够对非符号数量信息进行空间表征。     

领导对建言反应的动机感知作用机制:基于归因理论的阐释

基于归因理论,从领导对建言行为动机的认知视角,解释领导对建言差异反应的原因。当领导认为员工建言基于组织关心动机、亲社会动机时,会给予表扬/认可、奖赏、执行等积极反应;当领导认为员工建言是基于挑战动机、疏离动机、印象管理动机或自我保护动机时,会给予批评/惩罚、忽视、报复等消极反应。此外,权力距离能够调节领导对建言动机的感知,即低权力距离领导,对建言行为更为接纳、支持,会增强专业性、建言氛围与积极动机感知的关系,减弱挑战性建言与消极动机感知的关系;而高权力距离领导,倾向于绝对优势的权力和对下属的控制,会减弱专业性、可信性及建言氛围与积极动机感知的关系,增强挑战性建言与消极动机感知的关系。最后,建议未来的研究关注以下几个方面:(1)将建言作为一个过程来探讨,研究领导对建言的反应如何影响员工后续的态度和行为;(2)研究建言氛围形成的原因及其作用;(3)关注情绪在建言行为中的功能机制等。     

Common magnitude representation of fractions and decimals is task dependent

Although several studies have compared the representation of fractions and decimals, no study has investigated whether fractions and decimals, as two types of rational numbers, share a common representation of magnitude. The current study aimed to answer the question of whether fractions and decimals share a common representation of magnitude and whether the answer is influenced by task paradigms. We included two different number pairs, which were presented sequentially: fraction–decimal mixed pairs and decimal–fraction mixed pairs in all four experiments. Results showed that when the mixed pairs were very close numerically with the distance 0.1 or 0.3, there was a significant distance effect in the comparison task but not in the matching task. However, when the mixed pairs were further apart numerically with the distance 0.3 or 1.3, the distance effect appeared in the matching task regardless of the specific stimuli. We conclude that magnitudes of fractions and decimals can be represented in a common manner, but how they are represented is dependent on the given task. Fractions and decimals could be translated into a common representation of magnitude in the numerical comparison task. In the numerical matching task, fractions and decimals also shared a common representation. However, both of them were represented coarsely, leading to a weak distance effect. Specifically, fractions and decimals produced a significant distance effect only when the numerical distance was larger.     

A new rank correlation coefficient with application to the consensus ranking problem

The consensus ranking problem has received much attention in the statistical literature. Given m rankings of n objects the objective is to determine a consensus ranking. The input rankings may contain ties, be incomplete, and may be weighted. Two solution concepts are discussed, the first maximizing the average weighted rank correlation of the solution ranking with the input rankings and the second minimizing the average weighted Kemeny–Snell distance. A new rank correlation coefficient called τ_x is presented which is shown to be the unique rank correlation coefficient which is equivalent to the Kemeny‐Snell distance metric. The new rank correlation coefficient is closely related to Kendall's tau but differs from it in the way ties are handled. It will be demonstrated that Kendall's τ_b is flawed as a measure of agreement between weak orderings and should no longer be used as a rank correlation coefficient. The use of τ_x in the consensus ranking problem provides a more mathematically tractable solution than the Kemeny–Snell distance metric because all the ranking information can be summarized in a single matrix. The methods described in this paper allow analysts to accommodate the fully general consensus ranking problem with weights, ties, and partial inputs. Copyright © 2002 John Wiley & Sons, Ltd.     

Spontaneous trait inference and construal level theory: Psychological distance increases nonconscious trait thinking

Can psychological distance affect how much perceivers form spontaneous trait inferences (STI) from others’ behaviors? On the basis of construal level theory (CLT) which posits that distant (vs. near) entities are represented more in terms of their abstract, global, and decontextualized features, we predicted that perceived distance would increase the tendency for perceivers to draw spontaneous trait inferences from behavioral information about actors. In two experiments, participants learned about people who were perceived as being distant or proximal to the self, and STI formation was subsequently assessed. We found that perceivers were more likely to form STIs about distant vs. near actors from the same behavioral information. These findings generalized across two distance dimensions: space and time. In addition, we found that priming individuals to adopt a high-level (vs. low-level) construal mindset also resulted in increased STI (Experiment 3). In sum, psychological distance facilitates STI formation, and this occurs via high-level construal of actors and their behaviors.     

Within my breast, alas, two souls ...

The obsession is pursued of a word, a sign, a thought that is identical with the thing it signifies, where there is no space between the two. And the nightmare is entertained that, if such an identity is not attained, then intellectual work in general is worth nothing and should be destroyed.     

Component Models for Fuzzy Data

The fuzzy perspective in statistical analysis is first illustrated with reference to the “Informational Paradigm” allowing us to deal with different types of uncertainties related to the various informational ingredients (data, model, assumptions). The fuzzy empirical data are then introduced, referring to J LR fuzzy variables as observed on I observation units. Each observation is characterized by its center and its left and right spreads (LR₁ fuzzy number) or by its left and right “centers” and its left and right spreads (LR₂ fuzzy number). Two types of component models for LR₁ and LR₂ fuzzy data are proposed. The estimation of the parameters of these models is based on a Least Squares approach, exploiting an appropriately introduced distance measure for fuzzy data. A simulation study is carried out in order to assess the efficacy of the suggested models as compared with traditional Principal Component Analysis on the centers and with existing methods for fuzzy and interval valued data. An application to real fuzzy data is finally performed. We would like to express our gratitude to the Editor, the Associate Editor, and the Referees whose comments and suggestions improved significantly the quality of the paper.     

时间距离对于验证性信息加工的影响

研究基于解释水平理论考察时间距离对于验证性信息加工的影响, 即在个体和组织决策情境中, 人们倾向于偏好选择和高估与自身观点和决策相一致的信息, 而不是非一致性信息。通过4个情境决策实验, 研究结果一致表明近期决策会提高信息搜寻和评估中的验证偏差, 而远期决策会降低它们的验证偏差, 知觉到的决策确定性在其中起到部分中介作用(实验1b)。解释水平(实验2)和期许性/可行性表征(实验3)分别在时间距离对验证性信息加工的影响中起到调节作用, 结果依次表明在低解释水平(高可行性-低期许性特征)条件下, 时间距离与验证性信息加工的负相关关系会得到显著增强, 而在高解释水平(高期许性-低可行性特征)条件下, 时间距离与验证性信息加工的负相关关系会得到显著降低。     

心理距离与后果严重性对人身安全决策的影响

已有研究发现决策者在为自己与不同他人决策时,其风险偏好存在差异。但是当对后果严重性不同的事件进行决策时,上述结果也并不总是如此。为了探究在人身安全情境中决策者面对后果严重程度不同的任务时,为自己和为他人决策时风险偏好的差异,实验一采用人际亲密度和决策所带来消极结果的严重程度分别操纵心理距离与后果严重性,结果发现决策者在后果严重任务中的决策比后果不严重任务更保守,为自己和为陌生人决策均比为最好朋友决策更冒险。这可能是由于决策者知觉到的决策责任不同所致。因此在实验一的基础上实验二引入决策责任这一变量,考察其在心理距离对风险决策影响中的作用,研究结果证明了我们的假设。