小学儿童规则发现的类比迁移研究

本研究以小学儿童为被试,证实了在策略提示条件下解决规则发现(合取规则和析取规则)的类比问题时,任务难度和表面相似性是影响策略的迁移的重要因素,并且发现小学儿童的思维能力存在着较大的个体差异.他们在问题解决时主要使用单维检验策略,多数小学儿童缺乏较强的元认知监控.     

PDP启动型实验程序与Richardson-Klavehn模型的比较研究

2个实验对PDP的启动型实验程序与Richardson-Klavehn的修正模型进行了比较研究,通过对指示语的操纵,考察提取策略是否完全受意志控制,以及注意水平、刺激材料、测验类型、加工水平对被试作业的影响.结果发现刺激材料对有意识控制记忆的实验结果影响很大,对PDP的无意识自动加工参数无影响;启动型实验程序的结果与PDP理论相当一致;提取策略不一定是受意志精确控制的.     

不规则几何图形识别的取样首视点研究

用实验方法对不规则几何图形的取样首视点进行研究。作业任务有认同与匹配二种,显示条件有良好与不良二种,显示方式有旋转与不旋转二种,绩效指标用反应时与错误指数二项。结果表明：首视点的分布是非均匀的,落在轮廓部位的概率最大,落在中央或某条特定边的概率极小。首视点分布的均匀度与作业难度有关,在作业难度较大的情况下,首视点分布趋于集中。多数情况下,首视点的置位对作业绩效的影响不大。     

用户换位型思维的形成及对机会信念绩效的影响

用户换位型思维是创业者进行机会识别并应对市场竞争的重要因素,但已有研究忽视了其模式、形成机理及对机会信念绩效的影响。针对此问题,基于结构映射理论与注意力参与模型解构用户换位型思维模式,包括吸收式、归纳式、启发式和分析式;然后,从“个体-用户”双元视角探讨与用户有关的先验知识、灵活的角色导向、认知复杂性以及用户需求不确定性和碎片化等因素对用户换位型思维形成的正向影响;最后,以机会信念形成速度和创新性为绩效指标,阐释用户换位型思维模式对机会信念形成绩效的影响,并考察适应新的信息环境和调用自身知识结构的认知管理策略对用户换位型思维模式与机会信念形成绩效的调节作用。研究结论将丰富用户换位型思维的内涵,拓展结构映射理论与注意力参与模型的解释范围,也为指导创业者运用用户换位型思维去识别机会提供参考,对创业者思考与理解用户有重要意义。     

小学生形成合取概念的策略训练及其迁移效果

采用明确要求、策略讲授、讨论比较、练习巩固的方法,对小学四年级儿童形成合取概念的策略进行训练,结果发现：训练不仅能够促进儿童形成合取概念的能力发展,而且提高了他们的元认知水平,并在相关的问题解决中表现出能力的迁移。     

Attribute‐based differentiation of alternatives

An intermediate step is introduced to the dialogue decision process for decision analysis. Alternatives are refined after they have been generated within a strategy table but before they are subject to more detailed evaluation. Two or more judges create a subjective mapping from alternatives to attributes that will later be mapped to criteria. In strategy tables, each of the alternative strategies consists of a coherent set of choices made across several decisions that are to be coordinated. These strategic alternatives are modified so as to increase their differentiation in the attribute space, rather than in the decision space alone. When criteria weights are unknown, the best alternative from the modified set may be superior to the best alternative from the original set. Furthermore, analysis of the resulting alternatives may yield a better mapping of the value response surface for the action space, in the sense that this mapping leads to eventual construction of a higher value alternative. Results are reported for a consulting engagement incorporating the proposed step. Copyright © 2003 John Wiley & Sons, Ltd.     

多维项目反应理论补偿性模型参数估计:基于广义回归神经网络集合

运用广义回归神经网络(GRNN)方法对小样本多维项目反应理论(MIRT)补偿性模型的项目参数进行估计,尝试解决传统参数估计方法样本数量要求较大的问题。MIRT双参数Logistic补偿模型被设置为二级计分的二维模型。首先,模拟二维能力参数、项目参数值与考生作答矩阵。其次,把通过主成分分析得到的前两个因子在每个题目上的载荷作为区分度的初始值以及题目通过率作为难度的初始值,这两个指标的初始值作为神经网络的输入。集成100个神经网络,其输出值的均值作为MIRT的项目参数估计值。最后,设置2×2种(能力相关水平:0.3和0.7; 两种估计方法:GRNN和MCMC方法)实验处理,对GRNN和MCMC估计方法的返真性进行比较。结果表明,小样本的情况下,基于GRNN集成方法的参数估计结果优于MCMC方法。     

How Power States Influence the Persuasiveness of Top‐Dog versus Underdog Appeals

Although both top‐dog and underdog positioning appeals are widely used in marketing and advertising, little is known about which strategy is more effective in persuading consumers. By introducing a sense of power, a social variable that is inherently relevant to the nature of the top‐dog versus underdog classification, we propose that consumers' responses to these two appeals are influenced by their psychological experience of power. Specifically, low‐power consumers will respond to top‐dog appeals more favorably because associating with top dogs facilitates power restoration. In contrast, high‐power consumers will respond to underdog appeals more favorably because supporting underdogs facilitates power expression. In four experimental studies, we provide consistent support for our main predictions as well as the underlying processes. Studies 1 and 2 demonstrate the differential effect of consumers' power states on their attitudes toward top‐dog versus underdog appeals. Providing process evidence, Studies 3 and 4 identify boundary conditions under which the basic effect was eliminated. These findings contribute to the persuasion literature and power research and provide important implications for positioning strategy and advertisement development.     

The effect of presentation format and encoding strategy on associative memory distortion

IntroductionPrevious studies using semantically related words revealed more accurate memory when the items were encoded visually rather than auditorily and when mental images were created during encoding. However, how the level of memory distortion is affected by the creation of different mental imagery formats or by techniques that should suppress generation of mental images has rarely been investigated.ObjectiveThe aim of the present studies was to investigate the ways in which the encoding strategy affects the accuracy of memory reports for two presentation formats of semantically related words: verbal and pictorial.MethodIn experiment 1, the participants were asked to memorize either pictures or their verbal equivalents (words) from the same category, using one of two encoding strategies: uttering the words or counting backwards. In experiment 2, pictorially or auditory presented material was encoded together with the creation of either visual or auditory mental images of the items. The results of the experimental groups were compared to control groups that received no specific instruction.ResultsHigher levels of false recognition, together with lower rates of correct recognition, were observed for words, presented either visually or auditory, relative to pictures. Moreover, self-generation of additional code during the processing of information favored the reduction of false recognitions.ConclusionEncoding strategies that engaged dual coding reduced false recognition. The results are discussed within the distinctiveness heuristic phenomenon.     

分离型的多级评分认知诊断模型开发及其应用研究

本文基于DINO模型开发出一种分离型的多级评分认知诊断模型(P-DINO模型),并采用Monte Carlo模拟与实证研究相结合的范式,探讨了新模型的性能与有效性。结果表明:(1)P-DINO模型参数估计精度较好,参数估计的稳健性较强。(2)采用MCMC算法可以实现该模型的参数估计,估计结果较理想。(3)测验长度的增加能有效提高模型的判准率,被试人数的增加对判准率的提高相对较小,属性个数的增加会降低判准率。(4)在抑郁症状评估中,P-DINO模型的表现要优于DINO模型与传统的抑郁症状评估。