Reacting aggressively to injustice at work: a cognitive stage model

The present article develops a cognitive stage model of workplace aggression, which contends that aggressive reactions to perceived injustice are cognitively construed following three cognitive steps that include the assessment stage, the accountability stage, and the decision stage. These three cognitive stages are essential in understanding victims’ retaliatory actions against perpetrators of injustices. The model’s implications for research and practice are discussed.     

终末期癌症病人诊治中的心理特征与人文关怀

在诊治终末期癌症病人过程中不仅要关心他们的躯体方面,更要关心他们的心理方面,在诊治过程中要根据他们的独特的心理特征来进行人文心理关怀,维持生命质量和保证他们应有的人格尊严.     

角色目标对空间维度非线索更新的影响

采用实时窗口阅读技术,探讨文本阅读中角色目标在情境模型空间维度非线索更新中的作用。实验一结果表明,阅读中。如果文本叙述中的角色在一个目标指引下展开活动．那么可以促进相应空间设置内的物体的更新。实验二考察了不同性质的角色目标在空问信息加工中的作用,结果发现,相对于已经达成的目标,未达成的目标对情境模型空间维度非线索更新的影响更大。     

内隐学习研究方法述评

内隐学习自提出以来就成为认知心理学研究的热点,近40年内隐学习领域的研究在本质上都基于几种经典的研究方法和实验逻辑。本文拟对这些代表性的内隐学习研究方法做系统的介绍和归纳。     

Implicit learning of what comes when and where within a sequence: The time-course of acquiring serial position-item and item-item associations to represent serial order

Much research has been conducted aimed at the representations and mechanisms that enable learning of sequential structures. A central debate concerns the question whether item-item associations (i.e., in the sequence A-B-C-D, B comes after A) or associations of item and serial list position (i.e., B is the second item in the list) are used to represent serial order. Previously, we showed that in a variant of the implicit serial reaction time task, the sequence representation contains associations between serial position and item information (Schuck, Gaschler, Keisler, & Frensch, 2011). Here, we applied models and research methods from working memory research to implicit serial learning to replicate and extend our findings. The experiment involved three sessions of sequence learning. Results support the view that participants acquire knowledge about order structure (item-item associations) and about ordinal structure (serial position-item associations). Analyses suggest that only the simultaneous use of the two types of knowledge acquisition can explain learning-related performance increases. Additionally, our results indicate that serial list position information plays a role very early in learning and that inter-item associations increasingly control behavior in later stages.     

A phase transition model for the speed-accuracy trade-off in response time experiments

Most models of response time (RT) in elementary cognitive tasks implicitly assume that the speed-accuracy trade-off is continuous: When payoffs or instructions gradually increase the level of speed stress, people are assumed to gradually sacrifice response accuracy in exchange for gradual increases in response speed. This trade-off presumably operates over the entire range from accurate but slow responding to fast but chance-level responding (i.e., guessing). In this article, we challenge the assumption of continuity and propose a phase transition model for RTs and accuracy. Analogous to the fast guess model (Ollman, 1966), our model postulates two modes of processing: a guess mode and a stimulus-controlled mode. From catastrophe theory, we derive two important predictions that allow us to test our model against the fast guess model and against the popular class of sequential sampling models. The first prediction--hysteresis in the transitions between guessing and stimulus-controlled behavior--was confirmed in an experiment that gradually changed the reward for speed versus accuracy. The second prediction--bimodal RT distributions--was confirmed in an experiment that required participants to respond in a way that is intermediate between guessing and accurate responding.     

Phonological abstraction in processing lexical-tone variation: evidence from a learning paradigm

There is a growing consensus that the mental lexicon contains both abstract and word-specific acoustic information. To investigate their relative importance for word recognition, we tested to what extent perceptual learning is word specific or generalizable to other words. In an exposure phase, participants were divided into two groups; each group was semantically biased to interpret an ambiguous Mandarin tone contour as either tone1 or tone2. In a subsequent test phase, the perception of ambiguous contours was dependent on the exposure phase: Participants who heard ambiguous contours as tone1 during exposure were more likely to perceive ambiguous contours as tone1 than participants who heard ambiguous contours as tone2 during exposure. This learning effect was only slightly larger for previously encountered than for not previously encountered words. The results speak for an architecture with prelexical analysis of phonological categories to achieve both lexical access and episodic storage of exemplars.     

THE COGNITIVE SCIENCE OF RELIGION: IMPLICATIONS FOR THEISM?

Abstract. Although the Cognitive Science of Religion (CSR), a current approach to the scientific study of religion, has exerted an influence in the study of religion for almost twenty years, the question of its compatibility or incompatibility with theism has not been the subject of serious discussion until recently. Some critics of religion have taken a lively interest in the CSR because they see it as useful in explaining why religious believers consistently make costly commitments to false beliefs. Conversely, some theists have argued for the compatibility of religious belief with basic CSR results. In this article, we contribute to the incipient discussion about the worldview relevance of the CSR by arguing that while a theistic reading of the field only represents one interpretative option at most, antitheistic claims about the incompatibility of the CSR with theism look like they may be harder to maintain than first appearances might suggest.     

The effects of process and outcome accountability on judgment process and performance

This article challenges the view that it is always better to hold decision makers accountable for their decision process rather than their decision outcomes. In three multiple-cue judgment studies, the authors show that process accountability, relative to outcome accountability, consistently improves judgment quality in relatively simple elemental tasks. However, this performance advantage of process accountability does not generalize to more complex configural tasks. This is because process accountability improves an analytical process based on cue abstraction, while it does not change a holistic process based on exemplar memory. Cue abstraction is only effective in elemental tasks (in which outcomes are a linear additive combination of cues) but not in configural tasks (in which outcomes depend on interactions between the cues). In addition, Studies 2 and 3 show that the extent to which process and outcome accountability affect judgment quality depends on individual differences in analytical intelligence and rational thinking style.     

The mental representation of causal conditional reasoning: mental models or causal models

In this paper, two experiments are reported investigating the nature of the cognitive representations underlying causal conditional reasoning performance. The predictions of causal and logical interpretations of the conditional diverge sharply when inferences involving pairs of conditionals—such as if P₁then Q and if P₂then Q—are considered. From a causal perspective, the causal direction of these conditionals is critical: are the P_icauses of Q; or symptoms caused byQ. The rich variety of inference patterns can naturally be modelled by Bayesian networks. A pair of causal conditionals where Q is an effect corresponds to a “collider” structure where the two causes (P_i) converge on a common effect. In contrast, a pair of causal conditionals where Q is a cause corresponds to a network where two effects (P_i) diverge from a common cause. Very different predictions are made by fully explicit or initial mental models interpretations. These predictions were tested in two experiments, each of which yielded data most consistent with causal model theory, rather than with mental models.