Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment

Knowledge of mechanisms is critical for causal reasoning. We contrasted two possible organizations of causal knowledge—an interconnected causal network, where events are causally connected without any boundaries delineating discrete mechanisms; or a set of disparate mechanisms—causal islands—such that events in different mechanisms are not thought to be related even when they belong to the same causal chain. To distinguish these possibilities, we tested whether people make transitive judgments about causal chains by inferring, given A causes B and B causes C, that A causes C. Specifically, causal chains schematized as one chunk or mechanism in semantic memory (e.g., exercising, becoming thirsty, drinking water) led to transitive causal judgments. On the other hand, chains schematized as multiple chunks (e.g., having sex, becoming pregnant, becoming nauseous) led to intransitive judgments despite strong intermediate links ((Experiments 1–3). Normative accounts of causal intransitivity could not explain these intransitive judgments (Experiments 4 and 5).     

Assessment of Differential Rater Functioning in Latent Classes with New Mixture Facets Models

Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity. However, DRF may occur when the group membership is unknown (latent) and thus has to be estimated from data. To solve this problem, in this study, we developed a new mixture facets model to assess DRF when the group membership is latent and we provided two empirical examples to demonstrate its applications. A series of simulations were also conducted to evaluate the performance of the new model in the DRF assessment in the Bayesian framework. Results supported the use of the mixture facets model because all parameters were recovered fairly well, and the more data there were, the better the parameter recovery.     

A Monte Carlo evaluation of masked visual analysis in response‐guided versus fixed‐criteria multiple‐baseline designs

We developed masked visual analysis (MVA) as a structured complement to traditional visual analysis. The purpose of the present investigation was to compare the effects of computer‐simulated MVA of a four‐case multiple‐baseline (MB) design in which the phase lengths are determined by an ongoing visual analysis (i.e., response‐guided) versus those in which the phase lengths are established a priori (i.e., fixed criteria). We observed an acceptably low probability (less than .05) of false detection of treatment effects. The probability of correctly detecting a true effect frequently exceeded .80 and was higher when: (a) the masked visual analyst extended phases based on an ongoing visual analysis, (b) the effects were larger, (c) the effects were more immediate and abrupt, and (d) the effects of random and extraneous error factors were simpler. Our findings indicate that MVA is a valuable combined methodological and data‐analysis tool for single‐case intervention researchers.     

有关条件推理认知机制的概率理论

条件推理主要有两种研究范式：演绎形式(MP、DA、AC、MT)和变通形式(四卡问题)。已往研究主要探讨了内容因素、情境因素以及元认知因素等对条件推理的影响,形成了若干理论模型和观点。近来、Oaksford等人研究了概率因素对条件推理的影响．提出了条件概率模型。本文对这种新的研究取向作了详细的介绍和评价,并对未来研究进行了展望。     

论述理解中逻辑有效与逻辑无效条件推理的研究

句法理论和心理模型理论是解释论述理解中逻辑有效 (如MP)与逻辑无效 (如AC)条件推理机制的两种不同观点。本研究通过两项实验旨在对这两种理论加以检测。实验要求被试阅读遵循MP或AC形式的故事后对故事结论的正确性做出判断。结果表明 ,在论述理解中 ,条件前提的语义联系强度影响MP推理 ;深思熟虑对MP和AC推理均产生影响。研究结果支持心理模型理论。     

面孔识别的自我群体偏向

面孔认知研究表明, 人们识别和再认自己所属群体(如种族、性别、年龄)面孔的成绩显著好于识别其他群体面孔的成绩。近年来围绕面孔识别的这种自我群体偏向进行了实验研究, 研究者提出了知觉经验说和社会认知论两种理论来解释其认知加工机制, 而类别化-个性化模型和双路径模型则是将两种理论分别加以整合提出的新解释。研究者还对面孔识别自我群体偏向的神经机制进行了研究, 探讨了评价者、评价对象和评价任务等因素对自我群体偏向的影响。提升面孔识别自我群体偏向研究的生态效度, 构建整合性理论模型以及加强跨文化和本土研究是未来研究的重要方向。     

影响视觉复合刺激中整体和局部性质加工的几种因素

文章研究了视知觉组织,空间位置不确定性和视野位置等因素对复合刺激中整体和局部性质加工的影响。实验发现,（１）当复合刺激呈现在白背景上时,反应时和干扰作用都表明复复合刺激中大图的加工优于小图,刺激位置的不确定削弱大图对小图的干扰作用;而当复合刺激呈现在由“＋”组成的背影或时,小图的加工优于大图,刺激位置的不确定延长分辩小图的ＲＴ;（２）与周国刺激相比,分辨视野中央的复合刺激的ＲＴ较短,这种影响对分辨     

初中二年级学生字词阅读知觉广度的眼动研究

采用眼动研究中经典的移动窗口技术范式探讨中学生字词阅读知觉广度。通过两个实验分别对17名初中二学生和12名初中二学生进行了汉语字、词阅读知觉广度的眼动研究。实验1结果表明,初中二年级学生字窗口条件下的阅读知觉广度为注视点左侧1个单字到右侧2个单字的范围;实验2结果表明,双字词窗口条件下的阅读知觉广度为注视点左侧1个双字词到右侧1个双字词的范围。本研究推论汉语阅读过程进行的是词单元加工,而不是单字。     

假言推理的否定词效应

介绍假言推理中的4种否定词效应,以及相关的理论模型。被试在进行假言推理时,对前提或结论所表示的事件加进了否定词, 产生了一系列的心理效应。研究发现,范畴前提含有否定词,被试更难做出正确的推论;如果结论中含有否定词,被试却更容易做出正确的推论。为此,心理模型理论,规则理论,概率模型理论以及我国的学者对该问题都作了研究和阐述。     

现实预期和意愿预期在文本阅读中的激活强度

文本阅读中,读者往往对事件的后续发展进行预期推理。预期推理有两种倾向,要么是倾向于根据客观现实条件进行的现实预期,要么是倾向于根据主观个人意愿进行的意愿预期。两个实验探讨了文本阅读中读者产生的现实预期和意愿预期的激活强度。结果发现,现实预期和意愿预期都可以在阅读中即时产生,意愿预期强于现实预期;把读者分为"情感导向型"和"非情感导向型",发现"情感导向型"的读者,阅读过程中产生的意愿预期强于现实预期,而"非情感导向型"的读者则不是。