风险寻求中的图形表征效应

在负性风险信息沟通中,采用文本表征与图形表征,结果发现图形表征方式更能引起风险回避行为。基于此,本研究以获益方案作为风险沟通信息,分别采用文本表征与图形表征来探索信息表征方式对风险寻求的影响。结果显示:在文本表征方式中,个体决策主要受备择方案之间风险大小的影响;而图形表征方式中,个体不仅受备择方案之间风险大小的影响,而且更受备择方案之间获益大小的影响。结果说明:相对文本表征,图形表征方式更能引起决策者为了获益而冒更大的风险,从而表现出风险寻求偏好,从而证实"图形效应"在风险决策中存在普遍性,为我们风险决策信息提供依据。     

The illusion of the perfect alibi: Establishing the base rate of non‐offenders' alibis

The present study was designed to establish the base rate of alibis and supportive evidence for alibis of non‐offenders. That is important because the presence and lack of an alibi are often seen as a clear indicator of innocence and guilt, respectively, of a suspect. A large sample of laypersons (N  = 841) was randomly assigned to one of 32 conditions in which they were asked to generate a true alibi after they were falsely accused of being the perpetrator of a mock robbery. Each condition consisted of either a Tuesday or a Saturday and one of 16 timeframes. In general, the majority of the participants had an alibi (99.5%) and supportive evidence for their alibis (92.4%). The supportive evidence often consisted of a combination of supportive evidence rather than one distinct form of supportive evidence (33.3%). Although it is widely assumed that the alibi believability is determined based on the strength of the supportive evidence, our results show that the type of evidence that can be presented by laypeople depends upon the day and the timeframe wherein the crime has been committed. The results of the study therefore imply that determining alibi believability solely on the strength of the supportive evidence is not a fair measure. We suggest that the believability should also be based on the base rate of alibis and its supportive evidence.     

Taxonomic Examination of ADHD and Conduct Problem Comorbidity in Elementary School Children Using Cluster Analyses

Cluster analysis was used to investigate the classification of comorbid Attention Deficit Hyperactivity Disorder (ADHD) +Conduct Problems (CP). Teachers rated 1394 elementary school children on symptoms of inattention, hyperactivity/impulsivity, opposition, and conduct problems using the ADS-IV behavior-rating scale. Results suggested that a seven-cluster solution, including two distinct comorbid clusters, was the most appropriate method of classifying children according to behavioral symptoms. A one-way MANOVA showed that overall cluster profiles differed significantly from each other, whereas one-way ANOVAs indicated that clusters differed on age and symptom scores. Chi-square analyses indicated that clusters differed on gender. Post hoc analyses and effect sizes calculations revealed that the comorbid clusters differed from each other and from their single-disorder counterparts on some variables, but not on all. These results provide support for an additive conceptualisation of ADHD +CP.     

Cumulative impact neglect in processing sequential changes

We demonstrate that decision contexts that involve sequential numerical changes over time can lead to suboptimal consumer choices in both incentivized and hypothetical studies. This is because, for such changes, an earlier outcome has a cumulative effect on the final total, which consumers tend to ignore. We document the prevalence of consumers' tendency to neglect this cumulative impact when processing sequential rent increases and price discounts as consumers focus on the naïve totals and trends formed by the consecutive price changes and choose economically inferior options. We propose a nudge that helps alert consumers about the cumulative effects and decrease their tendency to fall prey to this bias. We discuss the theoretical contributions as well as the implications for consumers, managers, and policymakers.     

Congruency effects in dot comparison tasks: convex hull is more important than dot area

The dot comparison task, in which participants select the more numerous of two dot arrays, has become the predominant method of assessing Approximate Number System (ANS) acuity. Creation of the dot arrays requires the manipulation of visual characteristics, such as dot size and convex hull. For the task to provide a valid measure of ANS acuity, participants must ignore these characteristics and respond on the basis of number. Here, we report two experiments that explore the influence of dot area and convex hull on participants’ accuracy on dot comparison tasks. We found that individuals’ ability to ignore dot area information increases with age and display time. However, the influence of convex hull information remains stable across development and with additional time. This suggests that convex hull information is more difficult to inhibit when making judgements about numerosity and therefore it is crucial to control this when creating dot comparison tasks.     

Finger counting habit and spatial–numerical association in children and adults

Sensory-motor experiences are known to build up concrete and abstract concepts during the lifespan. The present study aimed to test how finger counting habits (right-hand vs. left-hand starters) could influence the spatial–numerical representation in number-to-position (explicit) and digit-string bisection (implicit) tasks. The subjects were Italian primary school children (N = 184, from the first to the fifth year) and adults (N = 42). No general preference for right- or left-starting in the finger counting was found. In the explicit task, right- or left-starting did not affect performance. In the implicit task, the right-hand starters shifted from the left to the right space when bisecting small and large numbers respectively, while the left-hand starters shifted from the right to the left space with higher leftward bias for large numbers. The finger configuration in Italian children and adults influences the spatial–numerical representation, but only when implicit number processing is required by the task.     

数字差异和概率差异对比率偏差的影响

比率偏差是一种常见的决策偏差,指的是当小概率事件以不同比率形式呈现时,人们倾向于认为以较小数字呈现的事件更不可能发生.本文采用问卷调查方式,在两个研究中分别探讨了数字差异和概率差异对比率偏差的影响,结果发现：（1）比率偏差的产生具有跨情境的一致性和稳健性;（2）等概率条件下比率偏差的发生率不随两个比率间的数字差异的增大而增大;（3）不等概率条件下比率偏差程度不随两个比率间概率差异的改变而改变.     

Taxonomy of Psychological and Social Disturbances in Survivors of Group Psychological Abuse

The purpose of this study was to delimit the psychological and social disturbances that individuals who have suffered psychological abuse within a social group on an ongoing basis can experience. A comprehensive classification of these disturbances was developed based on a review of the scientific literature. Its content was revised by an international panel of 38 experts on the topic. Experts also judged the frequency and intensity with which each disturbance is commonly experienced by survivors of abusive groups. The taxonomy, which includes 20 components classified into four main categories, showed adequate content validity. The components considered the most frequent and intense were related to emotional difficulties, followed by those associated with relational and social integration difficulties, cognitive difficulties, and, finally, other specific problematic behaviors. Operationalizing and classifying the specific psychological and social disturbances commonly experienced by survivors of abusive groups contributes to a better delimitation of the phenomenon. Likewise, it contributes to the understanding of the long-term effects of psychological abuse, which is useful in both the academic and clinical settings.     

Number line estimation in highly math‐anxious individuals

In this study, we aimed to investigate the difficulties highly math‐anxious individuals (HMA) may face when having to estimate a number's position in a number line task. Twenty‐four HMA and 24 low math‐anxiety (LMA) individuals were presented with four lines with endpoints 0–100, 0–1,000, 0–100,000, and 267–367 on a computer monitor on which they had to mark the correct position of target numbers using the mouse. Although no differences were found between groups in the frequency of their best‐fit model, which was linear for all lines, the analysis of slopes and intercepts for the linear model showed that the two groups differed in performance on the less familiar lines (267–367 and 0–100,000). Lower values for the slope and higher values for the intercept were found in the HMA group, suggesting that they tended to overestimate small numbers and underestimate large numbers on these non‐familiar lines. Percentage absolute error analyses confirmed that HMA individuals were less accurate than their LMA counterparts on these lines, although no group differences were found in response time. These results indicate that math anxiety is related to worse performance only in the less familiar and more difficult number line tasks. Therefore, our data challenge the idea that HMA individuals might have less precise numerical representations and support the anxiety–complexity effect posited by Ashcraft and colleagues.