Trait anger and anger expression style in children's risky decisions

In this study, 104 children completed a task, measuring risk decision-making, and the State-Trait Anger Expression Inventory for Children and Adolescents. Subjects were also asked to evaluate the degree of danger, benefit, fun and fear perceived for each risky choice. Analyses indicated that (a) risk decision-making was predicted by both trait anger and outward expression of anger; (b) appraisal of danger fully mediated the relationship between trait anger and risk; (c) perceptions of benefit, scare and fun partially mediated the relationship between trait anger and risk; and (d) appraisal of danger partially mediated the relationship between outward expression of anger and risk decision-making. The results provide evidence for a relationship between dispositional anger and risk decision-making during childhood, suggesting a possible explanation of the mechanisms below. In particular, risk decision-making can be viewed as the output of cognitive and emotive processes, linked to dispositional anger that leads children to be amused, optimistic and fearless in potentially risky situations. These findings substantiate the importance of incorporating cognitive and emotive factors in theories that seek to explain the relationship between personality traits and risk decision-making across a broad age range.     

The relationship between pain tolerance and trait aggression: effects of sex and gender role

The literature on pain and aggression has indicated that pain elicits aggression. However, research has generally examined pain as a situational variable and focused less on the dispositional ability of an individual to tolerate pain. The dearth of research on pain tolerance and aggression appears to contradict the existing theory on the aggression‐eliciting effect of pain, in that studies have found a positive relationship between pain tolerance and aggression. The purpose of this study was to determine whether the relationship between pain tolerance and aggression is moderated by sex and whether the positive relationship could be explained by masculine gender role conformity. A sample of 195 collegiate men and women completed trait measures and a laboratory assessment of pain tolerance. Results indicated that correlations between pain tolerance and trait aggression were significant and positive for men but not women. However, when men's conformity to masculine gender role was controlled for, the relationship between pain tolerance and trait aggression was nil and nonsignificant. Results are discussed in reference to socialization and maintenance of masculine status. Aggr. Behav. 35:422–429, 2009. © 2009 Wiley‐Liss, Inc.     

心算应激与特质焦虑、应对风格的关系

选取38名大学生为被试,采用BIOPAC多导生理记录仪,探讨心算应激对不同人格特质和应对风格的大学生心率（HR）、心率变异性（HRV）及皮肤电反应（GSR）的影响。实验采取2（人格特质：特质焦虑、非特质焦虑）×2（应对风格：注重情绪的应对、注重问题的应对）×3（实验阶段：基线期、任务期、恢复期）的三因素混合设计,要求所有被试经历5分钟的基线期、10分钟的心算任务期和5分钟的恢复期。结果表明：（1）特质焦虑的个体和注重情绪应对的个体在心算应激后的短时间内难以恢复到基线期的生理水平;（2）特质焦虑且注重情绪应对的个体在HR、HF、LF/HF及GSR上表现出明显强的反应性和弱的恢复性;（3）非特质焦虑且注重问题应对的个体在HF和GSR上表现出明显弱的反应性,在LF/HF和GSR上表现出明显强的恢复性。     

A thin slice perspective on the accuracy of first impressions

The accuracy of first impressions was examined by investigating judged construct (negative affect, positive affect, the Big five personality variables, intelligence), exposure time (5, 20, 45, 60, and 300 s), and slice location (beginning, middle, end). Three hundred and thirty four judges rated 30 targets. Accuracy was defined as the correlation between a judge’s ratings and the target’s criterion scores on the same construct. Negative affect, extraversion, conscientiousness, and intelligence were judged moderately well after 5-s exposures; however, positive affect, neuroticism, openness, and agreeableness required more exposure time to achieve similar levels of accuracy. Overall, accuracy increased with exposure time, judgments based on later segments of the 5-min interactions were more accurate, and 60 s yielded the optimal ratio between accuracy and slice length. Results suggest that accuracy of first impressions depends on the type of judgment made, amount of exposure, and temporal location of the slice of judged social behavior.     

瑞文测验项目认知难度因素分析及LLTM拟合验证

该文在以认知和测量相结合为特征的新一代测验理论的指导下,针对项目刺激特征,对影响瑞文测验项目认知难度的因素进行了分析,提取出图块繁简度、整体布局、变化维度和题序等4个因素,然后应用线性逻辑潜在特质模型（LLTM）对这四个因素进行了拟合检验,结果证明提取出的四个因素是有效的。文章还进一步探讨了研究结果在智力测验中的应用。     

特质焦虑与青少年冒险行为的关系：基于双系统模型的机制探讨

为了考察特质焦虑与青少年冒险行为的关系并基于双系统模型探究其中的影响机制,本研究采用特质焦虑问卷、简版自我控制量表、感觉寻求量表和青少年多领域冒险行为问卷对1720名12～18岁的青少年进行问卷调查,共回收有效数据1549份。结果发现：（1）特质焦虑能正向预测青少年的冒险行为,自我控制在特质焦虑与冒险行为间的关系中起中介作用;（2）感觉寻求调节了该中介过程的后半路径,即个体的感觉寻求水平越高,自我控制对冒险行为的预测作用越大。     

Testing for DIF in a model with single peaked item characteristic curves: The parella model

The PARELLA model is a probabilistic parallelogram model that can be used for the measurement of latent attitudes or latent preferences. The data analyzed are the dichotomous responses of persons to items, with a one (zero) indicating agreement (disagreement) with the content of the item. The model provides a unidimensional representation of persons and items. The response probabilities are a function of the distance between person and item: the smaller the distance, the larger the probability that a person will agree with the content of the item. This paper discusses how the approach to differential item functioning presented by Thissen, Steinberg, and Wainer can be implemented for the PARELLA model. Requests for the PARELLA software should be sent to Iec Progamma PO Box 841, 9700 AV Groningen, The Netherlands.     

Exposure to community violence and social support as predictors of anxiety and social and emotional behavior among African American children

We examined the effects of exposure to violence and social support on self-reported state and trait anxiety and parental rated problem behaviors among school-aged African-American children in low and high violence areas. Ninety-seven (97) fourth through sixth graders and their parents were interviewed about exposure to community violence, social support, and state and trait anxiety. Results indicate that trait anxiety was correlated positively with exposure to violence and negatively with social support. State anxiety was correlated negatively with family social support. Problem behaviors were correlated negatively with family support and income. Hierarchial multiple regression analyses indicated that children's reports of their exposure to community violence continued to explain significant variability in trait anxiety, and problem behavior after controlling for both income and social support measures. Social support from peers, family and teachers played differential roles in predicting problem behaviors among children from high and lower violence areas. These findings suggest that in planning intervention programs for children exposed to violence, greater attention to empowering parents to support their children, to fostering peer group support, and to bolstering teacher support may be useful, but attention to the underlying socio-political causes of violence exposure is essential.     

Acceleration model in the heterogeneous case of the general graded response model

A new model, called acceleration model, is proposed in the framework of the heterogenous case of the graded response model, based on processing functions defined for a finite or enumerable number of steps. The model is expected to be useful in cognitive assessment, as well as in more traditional areas of application of latent trait models. Criteria for evaluating models are proposed, and soundness and robustness of the acceleration model are discussed. Graded response models based on individual choice behavior are also discussed, and criticisms on model selection in terms of fitnesses of models to the data are also given.This research was supported by the Office of Naval Research (N00014-90-J-1456).     

Models for measurement,precision, and the nondichotomization of graded responses

It is common in educational, psychological, and social measurement in general, to collect data in the form of graded responses and then to combine adjacent categories. It has been argued that because the division of the continuum into categories is arbitrary, any model used for analyzing graded responses should accommodate such action. Specifically, Jansen and Roskam (1986) enunciate ajoining assumption which specifies that if two categoriesj andk are combined to form categoryh, then the probability of a response inh should equal the sum of the probabilities of responses inj andk. As a result, they question the use of the Rasch model for graded responses which explicitly prohibits the combining of categories after the data are collected except in more or less degenerate cases. However, the Rasch model is derived from requirements of invariance of comparisons of entities with respect to different instruments, which might include different partitions of the continuum, and is consistent with fundamental measurement. Therefore, there is a strong case that the mathematical implication of the Rasch model should be studied further in order to understand how and why it conflicts with the joining assumption. This paper pursues the mathematics of the Rasch model and establishes, through a special case when the sizes of the categories are equal and when the model is expressed in the multiplicative metric, that its probability distribution reflects the precision with which the data are collected, and that if a pair of categories is collapsed after the data are collected, it no longer reflects the original precision. As a consequence, and not because of a qualitative change in the variable, the joining assumption is destroyed when categories are combined. Implications of the choice between a model which satisfies the joining assumption or one which reflects on the precision of the data collection considered are discussed.