Mood and the impact of individuating information on the evaluation of ingroup and outgroup members: The role of mood-based expectancies

This research investigates the role of mood-based expectancies regarding a target's group membership for the impact of individuating information on target judgments. We argue that target judgments in both positive and negative mood may be more or less affected by individuating information depending on whether the target is an ingroup member or an outgroup member. Specifically, in a competitive intergroup setting it should be less congruent with mood-based expectancies when individuals in positive (negative) mood learn that an outgroup (ingroup) member rather than an ingroup (outgroup) member has succeeded. Hence, unexpected (i.e., mood-incongruent) category information should elicit more attention than expected (mood-congruent) category information. More importantly, subsequent individuating information (high vs. low target competence) should be processed more effortful and influence target judgments more strongly given mood-incongruent (vs. mood-congruent) category membership. Findings of an experiment support these predictions. Results are discussed in regard to implications for different research domains.     

What mediation analysis can (not) do

The present article is concerned with a common misunderstanding in the interpretation of statistical mediation analyses. These procedures can be sensibly used to examine the degree to which a third variable (Z) accounts for the influence of an independent (X) on a dependent variable (Y) conditional on the assumption that Z actually is a mediator. However, conversely, a significant mediation analysis result does not prove that Z is a mediator. This obvious but often neglected insight is substantiated in a simulation study. Using different causal models for generating Z (genuine mediator, spurious mediator, correlate of the dependent measure, manipulation check) it is shown that significant mediation tests do not allow researchers to identify unique mediators, or to distinguish between alternative causal models. This basic insight, although well understood by experts in statistics, is persistently ignored in the empirical literature and in the reviewing process of even the most selective journals.     

Emotion and reason in everyday risk perception

Although research has documented the importance of emotion in risk perception, little is known about it in the context of everyday life. Using the Experience Sampling Method (ESM), 94 part‐time students were prompted at random—via cellular telephones—to report on mood state and three emotions and to assess risk on thirty occasions during their working hours. The emotions—valence, arousal, and dominance—were measured using self‐assessment manikins (SAMs) (Bradley & Lang, 1994). Hierarchical linear models (HLM) revealed that mood state and emotions explained significant variance in risk perception. In addition, valence and arousal accounted for variance over and above “reason” (measured by severity and possibility of risks). Six risks were re‐assessed in a post‐experimental session and found to be lower than their real‐time counterparts. The study demonstrates the feasibility and value of collecting representative samples of data with simple technology. Evidence is also provided to demonstrate the statistical consistency of the HLM estimates. Copyright © 2010 John Wiley & Sons, Ltd.     

教育认知诊断测验与认知模型一致性的评估

构建正确的认知模型是成功进行认知诊断的关键之一,如果认知诊断测验不能完整准确地代表这个认知模型,这个测验的效度就存在问题.属性及其层级可以表示一个认知模型.在认知模型正确基础上,给出了一个计量公式以衡量认知诊断测验能够多大程度上代表认知模型;对于不止包含一个知识状态的等价类及其形成原因进行了分析,对Cui等人的属性层级相合性指标(HCI)提出修改建议,以更好地探查数据与专家给出的认知模型的一致性.     

Making IBM's Computer, Watson, Human

This essay uses the recent victory of an IBM computer (Watson) in the TV game, Jeopardy, to speculate on the abilities Watson would need, in addition to those it has, to be human. The essay's basic premise is that to be human is to behave as humans behave and to function in society as humans function. Alternatives to this premise are considered and rejected. The viewpoint of the essay is that of teleological behaviorism. Mental states are defined as temporally extended patterns of overt behavior. From this viewpoint (although Watson does not currently have them), essential human attributes such as consciousness, the ability to love, to feel pain, to sense, to perceive, and to imagine may all be possessed by a computer. Most crucially, a computer may possess self-control and may act altruistically. However, the computer's appearance, its ability to make specific movements, its possession of particular internal structures (e.g., whether those structures are organic or inorganic), and the presence of any nonmaterial "self," are all incidental to its humanity.     

Exploiting the Wisdom of Others to Make Better Decisions: Suspending Judgment Reduces Egocentrism and Increases Accuracy

Although decision makers often consult other people's opinions to improve their decisions, they fail to do so optimally. One main obstacle to incorporating others' opinions efficiently is one's own opinion. We theorize that decision makers could improve their performance by suspending their own judgment. In three studies, participants used others' opinions to estimate uncertain quantities (the caloric value of foods). In the full‐view condition, participants could form independent estimates prior to receiving others' opinions, whereas participants in the blindfold condition could not form prior opinions. We obtained an intriguing blindfold effect. In all studies, the blindfolded participants provided more accurate estimates than did the full‐view participants. Several policy‐capturing measures indicated that the advantage of the blindfolded participants was due to their unbiased weighting of others' opinions. The full‐view participants, in contrast, adhered to their prior opinion and thus failed to exploit the information contained in others' opinions. Moreover, in all three studies, the blindfolded participants were not cognizant of their advantage and expressed less confidence in their estimates than did the full‐view participants. The results are discussed in relation to theories of opinion revision and group decision making. Copyright © 2011 John Wiley & Sons, Ltd.     

不同定义平行测验等值的群体不变性

群体不变性是等值的一个重要假设,即对不同的考生子群体等值函数一致。本研究对不同平行测验定义下线性等值的群体不变性进行了理论分析和模拟研究,模拟研究REMSD指标通过六种不同加权方式计算。结果显示,严格平行测验在信度较低时REMSD指标更大;子群体均值差异和信度差异对REMSD的影响存在明显的交互作用;REMSD指标在期望权重等权下的最大,在分数权重采用子群体比例加权最小。最后对结果进行了讨论,对REMSD权重使用及进一步研究给出了建议。     

Interactive Effects of Characteristics of Defendant and Mock Juror on U.S. Participants' Judgment and Sentencing Recommendations

Abstract

The authors examined the effects of interactions (a) between defendant attractiveness and juror gender and (b) between defendant race and juror race on judgment and sentencing among 207 Black, Hispanic, and White participants in the United States. After reading a vehicular-homicide vignette in which the defendant's attractiveness and race varied, the participants rated guilt and recommended sentences. The women treated the unattractive female defendant more harshly than they treated the attractive female defendant; the men showed an opposite tendency. The Black participants showed greater leniency when the defendant was described as Black rather than White. The Hispanic participants showed an opposite trend, and the White participants showed no race-based leniency. The findings on racial effects were consistent (a) with in-group favorability bias among the Black participants and (b) with attribution effects unrelated to race among the White participants.     

音乐能力测验:结构拓展与分析方式的转换

从测验结构上,一般音乐能力测验包含基本认知能力、审美能力和创造能力测验.而现代音乐能力测验延伸到奏唱能力、表演交流能力和个体特质测验,从结构上对其进行拓展和完善.另一方面,从分析方式上,教育测验从总结性评价朝形成性评价方向发展.以美国国家评价与教育计划(NAEP)为例对测验项目进行属性层面的分析,证明了音乐能力认知诊断测验(CDA)的可能性.未来的研究应注意音乐能力测验结构的完整性和系统性,并将音乐能力认知诊断测验应用到实际当中.