权力感对道德困境判断的影响：基于CNI模型的分析

采用道德困境判断的CNI（consequence, norm, inaction）模型,通过两个实验考察权力感对道德困境判断的影响。实验1探讨个人权力感对道德困境判断的影响,结果显示高个人权力感显著增加被试对规则的敏感,促使个体做出道义论的道德判断。实验2考察回忆任务启动的权力感对道德困境判断的影响,发现相对于低权力感启动的被试,高权力感启动的被试在进行判断时更关注行为的结果,对规则更不敏感,这说明启动的权力感促进功利主义的道德判断,抑制道义论的道德判断。结果表明,不同类型的权力感对道德困境判断的影响存在差异。     

颜色知觉恒常理论的回顾

本文对早期颜色恒常理论、系数理论、计算理论和 Octant模型作了简要回顾 ,并结合已有的研究成果进行评述。对影响颜色恒常性机制的主要因素进行了探讨。强调了知觉经验、记忆、认知决策等高级意识活动对颜色恒常知觉的作用 ,并尝试性地提出了描述颜色恒常知觉过程的一般参照框架。     

病理性互联网使用的认知--行为模式述评

病理性互联网使用即互联网成瘾,是指由于过度使用或者滥用互联网而导致的一种新的心理疾病。本文介绍了病理性互联网使用的一种新理论模式———认知—行为模式,并对该模式进行了客观的评价。     

组织政治认知对员工行为的影响

组织政治是组织生活的现实反映,是一种普遍现象,员工对组织政治现象的认知对其行为、态度有诸多的不利影响。本研究运用自行研制的组织政治认知调查问卷,通过对29家企业共1647名员工的调查,探讨了在中国文化背景下员工的组织政治认知的结果变量,可望为各类组织的人力资源管理实践提供理论依据。     

阅读中的眼动控制理论与SWIFT模型

随着眼动研究的深入,近年来研究者受注意梯度指导理论影响,结合心理学的最新发展以及在相关实验研究的基础上提出了新的理论模型,其中最具代表性的是SWIFT模型。SWIFT模型遵循3条基本原则：（1）一定注意范围内的分布式词汇加工;（2）眼跳计划和目标选择的分离;（3）伴随中央凹目标抑制的眼跳机制。在构架上,该模型主要有两大功能模块：词汇加工和眼跳编程     

两种医学模式的方法论问题评价

生物医学模式和生物心理社会医学模式是对医学发展具有重要意义的两种医学模式,它们在对疾病和健康的看法上形成不同的思维方式;且这种思维方式在人们进行医学科研中具有不同的方法论作用。     

Moderating Effects of Mothers' Attribution on the Relationships Between Their Affect and Parenting Behaviors and Children's Aggressive Behaviors

We examined Bugental's (1987) transactional model in the context of the relationships between aggressive children and their mothers. Based on Bugental's model, it was hypothesized that mothers who possessed the attributional style of low self-control and high child-control over hypothetical child care failure were more likely to manifest negative affect and negative parenting behaviors toward their child, only when their child is aggressive. Children's aggressive behavior was assessed via mothers' and teachers' ratings. Sixty-six children and their mothers served as subjects. Our results provided support for mothers' negative affect when using teachers' rating of children's aggressive behaviors only. Possible explanations for the differential results obtained using mothers' and teachers' ratings of children's aggressive behaviors were discussed.     

Modeling response signal and response time data

The diffusion model (Ratcliff, 1978) and the leaky competing accumulator model (LCA, Usher & McClelland, 2001) were tested against two-choice data collected from the same subjects with the standard response time procedure and the response signal procedure. In the response signal procedure, a stimulus is presented and then, at one of a number of experimenter-determined times, a signal to respond is presented. The models were fit to the data from the two procedures simultaneously under the assumption that responses in the response signal procedure were based on a mixture of decision processes that had already terminated at response boundaries before the signal and decision processes that had not yet terminated. In the latter case, decisions were based on partial information in one variant of each model or on guessing in a second variant. Both variants of the diffusion model fit the data well and both fit better than either variant of the LCA model, although the differences in numerical goodness-of-fit measures were not large enough to allow decisive selection between the models.     

Differential Effects of Right‐Wing Authoritarianism and Social Dominance Orientation on Dimensions of Generalized Prejudice in Brazil

Previous research within a dual‐process cognitive‐motivational theory of ideology and prejudice has indicated that dimensions of generalized prejudice are structured around attitudes towards dangerous, derogated and dissident groups, and that these prejudice dimensions are differentially predicted by the ideological attitudes of Right‐Wing Authoritarianism (RWA) and Social Dominance Orientation (SDO). However, to date, these findings have been restricted to New Zealand samples. We describe two studies examining whether the structure of prejudiced attitudes and the differential prediction by RWA and SDO replicate in the Brazilian context, incorporating context‐relevant examples of each group—politicians, those from the northeast region of Brazil, and environmentalists. Results broadly supported the three‐factor structure of dangerous, derogated, and dissident groups. Consistent with previous research, regression and structural equation analyses showed that RWA explained prejudice against dangerous groups, SDO explained prejudice against derogated groups, and both RWA and SDO explained prejudice against dissident groups. This research provides some evidence for the generalizability of the three‐dimensional structure of generalized prejudice and differential prediction by RWA and SDO. Copyright © 2014 European Association of Personality Psychology     

Polytomous multilevel testlet models for testlet‐based assessments with complex sampling designs

A pplications of standard item response theory models assume local independence of items and persons. This paper presents polytomous multilevel testlet models for dual dependence due to item and person clustering in testlet‐based assessments with clustered samples. Simulation and survey data were analysed with a multilevel partial credit testlet model. This model was compared with three alternative models – a testlet partial credit model (PCM), multilevel PCM, and PCM – in terms of model parameter estimation. The results indicated that the deviance information criterion was the fit index that always correctly identified the true multilevel testlet model based on the quantified evidence in model selection, while the Akaike and Bayesian information criteria could not identify the true model. In general, the estimation model and the magnitude of item and person clustering impacted the estimation accuracy of ability parameters, while only the estimation model and the magnitude of item clustering affected the item parameter estimation accuracy. Furthermore, ignoring item clustering effects produced higher total errors in item parameter estimates but did not have much impact on the accuracy of ability parameter estimates, while ignoring person clustering effects yielded higher total errors in ability parameter estimates but did not have much effect on the accuracy of item parameter estimates. When both clustering effects were ignored in the PCM, item and ability parameter estimation accuracy was reduced.