父母教养方式与大学生社会责任感的关系:自我控制的中介作用及其性别差异

社会责任感是大学生全面发展和幸福生活的核心品质,更是社会和谐与良好风尚的重要保证。本研究以北京、苏州、上海、厦门等地5所高校共852名大学生为研究对象,考察了父母教养方式(包括关爱与控制)与大学生社会责任感的关系,以及自我控制的中介作用与性别差异,结果表明:(1)父母关爱对大学生社会责任感具有显著的积极预测作用,而父母控制无预测效应;(2)自我控制在父母关爱与社会责任感之间发挥着部分中介作用;(3)自我控制的中介效应存在明显的性别差异,主要表现在女生群体中,而男生中不存在该效应。这表明,父母关爱可以明显提高大学生社会责任感,并且在女生群体中自我控制是二者关系的中间桥梁。     

时间知觉的注意调节：一项ERP研究

采用双任务实验范式探讨时间知觉注意调节的动态过程。通过指导语使被试按照比例将注意分配到声音刺激的时间属性与音调属性上,形成对时间因素不同注意程度的五种注意条件,同时记录反应时、错误率和事件相关电位数据。对峰值分析发现,P2注意条件主效应不显著,但多重比较时T（只注意时间）与P（只注意音调）条件差异显著;对CNV平均波幅分析,发现注意条件主效应显著,随着分配在时间属性上的注意的减少,其波幅逐渐降低;对T与P条件的差异波地形图分析发现,波幅最大的区域位于额叶、中央区和顶叶;该差异波的偶极子定位于辅助运动区（额上回、额中回）和顶下小叶。以上结果表明,P2阶段存在时间信息加工;CNV反映时间知觉的注意调节,时间知觉中存在控制加工应该以CNV的出现为指标;辅助运动区可能为时间知觉的核心成分,具有跨通道效应;顶下小叶也与对时间的注意有关,但并不是特异性的。本研究不支持Lewis提出的 “自动”与“认知控制”计时系统理论中 “秒”为两系统分界点以及辅助运动区只属于“自动计时系统”的观点     

品牌信任研究脉络与展望

品牌信任就是在风险情境下,消费者基于对品牌品质、行为意向及其履行承诺的能力的正面预期而产生的认可该品牌的意愿。品牌信任结构问题存在“一维”、“二维’’和“三维”之争。品牌信任与多种因素存在着互动关系。有关品牌信任的前因后果有待进行整合研究,从而探讨品牌信任对品牌绩效的作用机制。     

中英文Stroop干扰效应的脑机制

以中国大学生为被试,采用事件相关电位对比研究中英文Stroop干扰效应的脑内时程动态变化。结果发现：两种文字材料都存在反应时的Stroop干扰效应,汉字的干扰效应明显强于英文;被试在完成不同文字材料的字词颜色命名任务时所诱发的ERP成分存在差异,具体为中文Stroop干扰效应表现为在350—550ms内,不一致条件比一致条件诱发一个更负的ERP成分（N450）,主要分布于额中部电极。英文Stroop干扰效应表现为不一致条件比一致条件在250—450ms内诱发一个更正的ERP成分（P300）,主要分布于左侧额顶叶;在450—550ms内诱发一个更负的ERP成分（N500）,主要分布于中后部。研究结果表明语言类型会影响Stroop干扰效应的脑内时程变化。     

反馈相关负波与社会关系认知

反馈相关负波(feedback-related negativity, FRN)是人类进行结果评价时诱发的一个重要的脑电负成分, 出现在反馈刺激后200~300ms间。作为社会认知研究的可视化指标和工具, 它在社会关系认知中有着十分重要的作用。研究从社会关系与反映并表征社会关系的社会规范两方面阐述了反馈相关负波在社会关系认知中的作用。前者着重阐述了反馈相关负波在作为独立个体所扮演的社会角色和人际关系中的作用, 后者主要介绍了反馈相关负波在分配公平和责任规范中的作用。未来研究需进一步联合其他脑电成分(如P300), 采用更严密的实验设计和研究范式来探讨不同人际亲密度个体在责任分摊过程中的认知神经过程及其在独立担责情况下责任绝对额度对其结果评价和社会关系认知的影响。     

Positive Definiteness via Off-diagonal Scaling of a Symmetric Indefinite Matrix

Indefinite symmetric matrices that are estimates of positive-definite population matrices occur in a variety of contexts such as correlation matrices computed from pairwise present missing data and multinormal based methods for discretized variables. This note describes a methodology for scaling selected off-diagonal rows and columns of such a matrix to achieve positive definiteness. As a contrast to recently developed ridge procedures, the proposed method does not need variables to contain measurement errors. When minimum trace factor analysis is used to implement the theory, only correlations that are associated with Heywood cases are shrunk.     

Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

The paper develops a two-stage robust procedure for structural equation modeling (SEM) and an R package rsem to facilitate the use of the procedure by applied researchers. In the first stage, M-estimates of the saturated mean vector and covariance matrix of all variables are obtained. Those corresponding to the substantive variables are then fitted to the structural model in the second stage. A sandwich-type covariance matrix is used to obtain consistent standard errors (SE) of the structural parameter estimates. Rescaled, adjusted as well as corrected and F-statistics are proposed for overall model evaluation. Using R and EQS, the R package rsem combines the two stages and generates all the test statistics and consistent SEs. Following the robust analysis, multiple model fit indices and standardized solutions are provided in the corresponding output of EQS. An example with open/closed book examination data illustrates the proper use of the package. The method is further applied to the analysis of a data set from the National Longitudinal Survey of Youth 1997 cohort, and results show that the developed procedure not only gives a better endorsement of the substantive models but also yields estimates with uniformly smaller standard errors than the normal-distribution-based maximum likelihood.     

Information Matrices and Standard Errors for MLEs of Item Parameters in IRT

The paper clarifies the relationship among several information matrices for the maximum likelihood estimates (MLEs) of item parameters. It shows that the process of calculating the observed information matrix also generates a related matrix that is the middle piece of a sandwich-type covariance matrix. Monte Carlo results indicate that standard errors (SEs) based on the observed information matrix are robust to many, but not all, conditions of model/distribution misspecifications. SEs based on the sandwich-type covariance matrix perform most consistently across conditions. Results also suggest that SEs based on other matrices are either not consistent or perform not as robust as those based on the sandwich-type covariance matrix or the observed information matrix.     

Effects of a Center-Based Parent Training Package on Parents’ Accuracy of Generalized Program Implementations at Home

Abstract

The purpose of this study was to evaluate the effects of a parent training package on parents’ accuracy of program implementations and their children’s goal achievements on parent-implemented programs at home. Parents also completed a quiz with questions about three-contingencies before and after the training. Three mother-child dyads participated in this study. All three children were 4-year-old boys with developmental delays. We employed a multiple baseline across three parent-child dyads as the primary design combined with a pretest and posttest. The individual parent training sessions consisted of office meetings and in-vivo classroom coaching sessions on program implementations. Each parent was trained individually to mastery criteria on program implementations using the Teacher Performance Rate Accuracy Scale (TPRA). After completing the parent training package, all parents acquired program implementations skills, and their program implementation skills were generalized to teach new behaviors at home with a high level of fidelity. Their quiz scores on three-term contingencies also increased to a relatively high level.