汉语语音范畴性知觉在儿童早期阅读中的作用

本研究以172名幼儿园中、大班和小学一年级的5~7岁儿童为研究对象, 测查了语音范畴性知觉、语音意识、短时记忆和汉字识别, 并通过群体差异比较、分层回归和结构方程建模的方法, 探讨了语音范畴性知觉、语音意识和早期阅读的关系。结果发现:(1)5~7岁儿童的语音范畴性知觉、语音意识能力随年龄的增加而显著提高;(2)语音范畴性知觉能力与语音意识, 特别是韵母意识和音节意识显著相关;(3)在语音与早期汉字识别能力的发展模型中, 语音范畴性知觉不直接影响汉字识别, 其对早期阅读的影响是通过语音意识的中介来实现的。     

性别刻板印象表征的形式及神经基础

本实验采用ERP技术,考察性别刻板印象的表征。结果发现,无论启动是上位范畴、子范畴、典型样例还是反例,被试对于刻板印象不一致的表征比一致的表征均诱发了波幅更大的N400,反应时更长。并且,被试对于性别刻板印象的表征存在层级差异。研究结果表明：（1）性别刻板印象的表征存在层级结构。（2）语义启动下,性别刻板印象违背诱发N400效应。（3）性别刻板印象表征存在自上而下的由大脑额叶进行的语义分类加工。     

Categorization by groups and individuals

Categorization is a core psychological process that is central to decision making. While a substantial amount of research has been conducted to examine individual categorization behavior, little is known about how the outputs of individual and group categorization may differ. Four experiments demonstrate that group categorization differs systematically from individual categorization in the structural dimension of category breadth: categorizing the same set of items, groups tend to create a larger number of smaller categories than individuals. This effect of social context is a function of both taskwork and teamwork. In terms of taskwork, groups’ greater available knowledge mediates differences in category breadth between individuals and groups by increasing utilized knowledge (study 2). In terms of teamwork, task conflict moderates the effect of social context on category breadth (study 3). Moreover, the experience of categorizing individually or in a group influences individuals’ subsequent judgments (study 4).     

不同汉字解码技能与小学生阅读理解的关系

探讨不同汉字解码技能在小学生阅读理解发展中的作用。208名二、四年级学生完成了认读准确性、流利性、声旁意识、形旁意识等汉字解码技能测验及阅读理解和言语理解测验。结果表明,汉字解码技能是阅读理解变异的重要来源。汉字认读准确性对二、四年级学生的阅读理解均有显著的独立贡献,汉字认读流利性仅对二年级学生有显著的独立贡献,声旁与形旁意识没有显著的独立贡献。结果对认识儿童阅读发展及有效促进阅读学习具有启示。     

知觉流畅性对判断和决策的影响

流畅性是个体对加工信息难易程度的一种主观体验, 它分为知觉流畅性、概念流畅性、提取流畅性等。研究者通过操纵刺激与背景的颜色对比度、刺激的字体类型、清晰程度等因素来控制知觉流畅性, 发现知觉流畅性会影响一系列判断和决策任务, 如命题真实性、类别判断、偏好、熟悉性等。知觉流畅性既可以作为判断的直接线索也可以通过选择不同线索和认知策略来间接影响判断和决策。     

Control beliefs and susceptibility to the promises of memory improvement

Brain training is increasingly popular, and many believe in the efficacy of such programs without empirical evidence. We examined whether instructions promising memory improvement would influence subjective and objective cognition. Participants (n = 145; age: M = 50.64) were randomly assigned to a memory improvement or memory task condition. Participants completed demographic and perceived control over cognition measures, in addition to cognitive tasks and subjective cognition items for 7 days. Participants in the improvement condition reported significantly greater memory increases than those in the memory task condition. This effect was moderated by perceived control over cognition; participants in the improvement condition with high control beliefs were significantly more likely than those with low control beliefs or those in the task condition to report better memory. Individuals with higher control beliefs may be more susceptible to the claims of brain training programs, which is significant given that such programs are increasingly popular and commercially available.     

A Match Made in Heaven or Down Under? The Effectiveness of Matching Visual and Verbal Horizons in Advertising

According to construal level theory, consumers’ processing styles become more abstract as psychological distance increases, but they grow more concrete when psychological distance decreases. This study provides evidence that panoramic pictures in which the horizon appears in the lower versus upper part of the frame trigger a different level of construal. As such, this study raises a novel source of construal. In addition, this study shows that when both visual (e.g., horizon height) and verbal (e.g., temporal benefit) advertising elements induce the same level of construal, advertising effectiveness increases. This work differs from previous research in that it focuses on the construal fit evoked by two advertisement features rather than a fit in construal between an external stimulus and the internal mindset of the consumer.     

Linguistic Complexity,Information Processing,and Public Acceptance of Supreme Court Decisions

Scholars suggest that judges have an incentive to use complex language to increase support for their decisions. Research on the effects of processing fluency, however, points towards a different set of expectations. Using a survey experiment, we manipulate the complexity of the language conveying two Court decisions and two types of source cue. For the less polarizing of the two decisions, we find that by decreasing processing fluency, complex decision language can both decrease acceptance of the decision and diminish the importance of source cues in arriving at this judgment. Legalistic terminology, however, increases acceptance.     

个体关于加工流畅性的信念对字体大小效应的影响

本研究考察个体关于加工流畅性的信念对学习判断(Judgment of learning, 简称JOL)的影响, 探讨字体大小效应的产生机制。研究通过两个实验分别考察个体关于“字体大小影响加工流畅性” (实验1)以及“加工流畅性影响记忆效果” (实验2)等信念对字体大小效应的影响。结果发现: 1)当人们相信大字体更流畅(实验1)或者越流畅越好记(实验2)时, 他们在大字体项目上的JOL值显著高于小字体项目上的JOL值; 2)当人们相信小字体更流畅(实验1)或者流畅性与记忆无关(实验2)时, 他们在大字体和小字体项目上的JOL值无显著差异, 字体大小效应消失。上述结果表明, 个体关于加工流畅性的信念是字体大小效应产生的重要原因, 是人们进行学习判断的重要线索。     

Exemplars, prototypes, similarities, and rules in category representation: an example of hierarchical bayesian analysis

This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in category learning tasks. The VAM allows for a wide variety of category representations to be inferred, but this article shows how a hierarchical Bayesian analysis can provide a unifying explanation of the representational possibilities using 2 parameters. One parameter controls the emphasis on abstraction in category representations, and the other controls the emphasis on similarity. Using 30 previously published data sets, this work shows how inferences about these parameters, and about the category representations they generate, can be used to evaluate data in terms of the ongoing exemplar versus prototype and similarity versus rules debates in the literature. Using this concrete example, this article emphasizes the advantages of hierarchical Bayesian models in converting model selection problems to parameter estimation problems, and providing one way of specifying theoretically based priors for competing models.