Covariance Structure Model Fit Testing Under Missing Data: An Application of the Supplemented EM Algorithm

Analysis of covariance or correlation structure is characterized, unfortunately, by repetitive suboptimal communication between persons and/or computer programs. After analyzing some aspects of this suboptimality, I suggest some approaches to improving the situation.     

The role of psychological resilience and positive affect in risky decision‐making

Past studies suggest that positive affect produces a wide range of desirable outcomes because it helps people build lasting resources. It may be assumed that these resources build on positive affect over time, which in turn may explain the beneficial effect of positive affect in stressful encounters. However, this assumption has not been directly tested by empirical studies. This question is important in that it helps clarify the underlying mechanism through which individuals with more positive affect might respond adaptively to adverse situations. Using a stressful task that included 20 rounds of risky investment choices, the current study examined whether psychological resilience, an important personal resource fuelled by positive affect, could account for the beneficial effects of positive affect. Specifically, we examined the relationship between individuals’ baseline levels of positive affect, their levels of psychological resilience, their choices in a risky investment decision task, and their levels of positive affect on the final investment task. The results demonstrate that psychological resilience could indeed help explain happier people's enhanced outcomes: They chose higher return although more risky investment options and experienced more positive affect at the end of the task. The current study supports the notion that individuals who experience frequent positive affect thrive through various challenges not simply because they feel good, but because they have resources that they can utilize to deal with these challenges. Findings from the present study support further investigation of the important relationship between specific positive affect, psychological resilience, and performance in risky investment tasks.     

闲话“随缘”

本文通过佛教、道教、儒教、基督教有关内容的简单比较，肯定佛教道教传教活动所遵循的“随缘”规则，并以此劝诫基督教。同时，贬抑基督教“以神制人”的原始办法：褒扬儒学“以人治人”的理性思维。     

IRT模型参数估计的新方法——MCMC算法

本研究主要探讨MCMC算法在IRT模型参数估计中的实现及其估计精度.通过模拟多种实验条件(人少题少、人题适中、人多题多、被试数及其参数固定情况下项目数变化、项目数及其参数固定情况下人数变化),考察两参数和叁参数Logistic模型的MCMC算法对其参数估计的精度,并与国际通用测量程序-Bilog程序(E-M算法)进行比较研究.模拟实验研究表明,上述各种实验条件下,MCMC算法均可用于IRT模型参数估计,且其估计的精度均较Bilog程序(E-M算法)高,值得推广.     

推理能力、认知方式和启发量对顿悟问题解决不同阶段的影响*

从《科学发明创造实验问题材料库》中选取实验材料,采用“学习多个原型-测试多个问题”的两阶段实验范式,探究推理能力、认知方式和启发量对顿悟问题解决中原型激活与关键启发信息提取这两个阶段的影响。结果发现:(1)高推理能力被试比低推理能力被试的顿悟问题解决水平更高,且高推理能力被试在原型激活和关键启发信息提取上都显著优于低推理能力被试;(2)认知方式对原型激活和关键启发信息提取均没有影响;(3)启发量对原型激活没有影响,但对关键启发信息的提取有影响,并且高启发量的原型比低启发量的原型更能促进关键启发信息的提取。     

自由观看实景图片时注意的空间偏向

本研究采用眼动仪直接记录40名在校大学生及研究生（平均年龄21.9岁,SD=1.8）自由观看实景图片的眼动情况,考察自然状态下视觉注意在真实场景中的空间偏向。为了控制图片不同区域刺激特征显著性对结果的影响,将被试随机分为两组,一组观看正向图片,一组观看倒置图片。对图片四个象限上的首次注视概率、首次眼跳方向和注视时间百分比分别进行2（水平方向）×2（垂直方向）×2（呈现方式）的重复测量方差分析,结果表明,存在独立于刺激特征的空间注意偏向,表现在水平方向具有左侧注意偏向,垂直方向具有上侧注意偏向。     

四川凉山彝族生育魂崇拜观念

凉山彝族崇拜女性自身的生育魂"格非",并盛行与生育魂有关的各种求育的法事.崇拜女性生育魂,实际上是崇拜女性的生殖能力,凉山彝族崇拜女性生殖能力的目的是祈求能生育出延续家谱、为祖先超度灵魂的儿子来,而这又与男性在社会组织制度中所担任的角色有关.     

Minimalism context-aware displays.

Despite the rapid development of cyber technologies, today we still have very limited attention and communication bandwidth to process the increasing information flow. The goal of the study is to develop a context-aware filter to match the information load with particular needs and capacities. The functions include bandwidth-resolution trade-off and user context modeling. From the empirical lab studies, it is found that the resolution of images can be reduced in order of magnitude if the viewer knows that he/she is looking for particular features. The adaptive display queue is optimized with real-time operational conditions and user's inquiry history. Instead of measuring operator's behavior directly, ubiquitous computing models are developed to anticipate user's behavior from the operational environment data. A case study of the video stream monitoring for transit security is discussed in the paper. In addition, the author addresses the future direction of coherent human-machine vision systems.     

视角对高频汉字识别的影响

用EyeLinkII型眼动仪为实验设备 ,以汉字与双眼形成的视角为自变量 ,研究了视角对高频汉字识别的影响特点。本实验中的视角分为 7个水平 :2°、4°、7°、1 0°、1 3°、1 6°、1 9° ,通过自编程序 ,计算出固定距离条件中不同视角下汉字的大小 ,呈现在计算机屏幕上 ,要求被试发声识别汉字。通过对反应时、注视时间、注视次数、眼跳时间、眼跳次数、眨眼时间、眨眼次数的分析。结果发现 :不同视角条件下的反应时总体差异不显著 ,反应时随视角的变化曲线为抛物线 ,开口向上 ;汉字识别的最适宜视角为 1 0°～ 1 1°。     

青少年对父亲认同结构模型研究

在文献分析、开放式问卷调查、个案访谈的基础上,通过实证研究探索青少年对父亲认同的结构模型,研究发现:青少年父亲认同结构模型涉及父亲的"品质素养"、"教育方式"、"父母关系"三大方面,包含坚韧乐观、消极狭隘、善良宽容、社会能力、温暖关爱、尊重信任、专制苛刻、夫妻和谐等8个一阶因子,能联合解释58.83%的总体变异;自编的青少年父亲认同问卷信效度良好,可应用于实践,为其他同类研究提供参考。