中文版一般自我效能量表的信度和效度检验

该研究以山东省610名高中生为被试,检验了中文版一般自我效能量表（GSES）的信度和效度.结果表明：（1）中文版GSES的有些项目,区分度不高;（2）中文版GSES具有较高的内部一致性信度与分半信度,但重测信度不高;（3）中文版GSES的单维度性没有得到证实;（4）中文版GSES不具有很好的预测效度.     

CAT选题策略分类概述

选题是计算机化自适应测验（CAT）测试过程的关键环节,选题策略的目标是要达到较高的测量精度,同时也实现试题曝光率控制及其他测验目标的实现.本文根据选题策略的基本原理和衍生发展,将众多CAT选题策略分为五大选题策略系列：Fisher函数系列、K-LI函数系列、α分层系列、贝叶斯系列、b匹配系列;并根据测验目标（测验精度、试题曝光率控制、内容平衡、多条件约束）对这些选题策略进行了细分,并对CAT选题策略的选择思路进行归纳.     

大学生的基本兴趣及其与专业承诺的关系

该研究调查了1304名来自18个不同专业领域的大学生的基本兴趣和专业承诺,并用回归法分析了特定基本兴趣与专业承诺之间的关系.结果发现：（1）大学生的31种基本兴趣在二维空间中呈现近似圆形的排列,且基本兴趣结构上的性别差异不明显;（2）在14个专业领域内大学生的特定基本兴趣能显著预测其专业承诺,所解释的变异量平均为20％,接近中等水平的效果大小;（3）在不同专业领域内基本兴趣对专业承诺的影响效果大小有所不同.     

A robust vision-based method for staircase detection and localization

A robust vision-based staircase identification method is proposed, which comprises 2D staircase detection and 3D staircase localization. The 2D detector pre-screens the input image, and the 3D localization algorithm continues the task of retrieving geometry of the staircase on the reported region in the image. A novel set of principal component analysis-based Haar-like features are introduced, which extends the classical Haar-like features from local to global domain and are extremely efficient at rejecting non-object regions for the early stages of the cascade, and the Viola–Jones rapid object detection framework is improved to adapt the context of staircase detection, modifications have been made on the scanning scheme, multiple detections integrating scheme and the final detection evaluation metrics. The V-disparity concept is applied to detect the planar regions on the staircase surface and locate 3D planes quickly from disparity maps, and then, the 3D position of staircase is localized robustly. Finally, experiments show the performance of the proposed method.     

Relationships Between Social Support,Internal Assets,and Life Satisfaction in Korean Adolescents

In previous literature, social support has been reported to have a significant, positive relationship with life satisfaction. However, few studies have examined this relationship among Korean youths and how their psychological functioning is associated with both social support and life satisfaction. This study investigated the associations between different sources of social support (i.e., family, peer, and teacher), psychological factors (i.e., self-efficacy and emotional regulation), and life satisfaction, in a sample of 1133 Korean adolescents. The possibility of sex differences in these relationships was also investigated. Results indicated that only family support had a direct relationship with life satisfaction for male adolescents; however, all three types of social support were found to have a significant, indirect relationship with life satisfaction for male adolescents through both psychological factors. In contrast, all three types of social support had a direct relationship with life satisfaction of female adolescents. Additionally, self-efficacy had a mediating effect on the relationship between the social support from family and teachers and life satisfaction of female adolescents. The results and implications of the study are discussed.     

音乐对希望感的影响

过去的研究发现,在经历挫折后,相比于不听音乐,听积极音乐能提升人们的希望感。然而,研究者并不清楚积极音乐和消极音乐在提升希望感上是否存在差异,也不清楚这种差异是否由于两种音乐在诱发的积极情绪或消极情绪的差异造成的。文章通过三个实验来考察这些问题。实验一发现,在无挫折的情况下,积极音乐相比消极音乐诱发了更强的希望感。实验二发现,这种效应同样存在于人们回忆挫折之后,并且是积极情绪在其中起中介作用。实验三则通过设置控制组进一步发现,这种效应是由积极音乐对希望感的提升作用和消极音乐对希望感的降低作用共同引起的。文末讨论了该发现的意义。     

建构反应题中能力估计准确性的影响因素:评分者人数和项目个数的交互作用

采用康春花、孙小坚和曾平飞(2016)提出的等级反应多水平侧面模型探讨了评分者人数和项目个数对被试能力估计准确性的影响。模拟研究的结果表明:(1)随着项目个数的增加,估计值与真值之间的相关也不断增加;(2)评分者人数和项目个数在平均绝对偏差(MAB)和误差均方根(RMSE)上的主效应均显著,两者间的交互效应也显著;(3)简单效应分析发现,当项目较少时,3个评分者条件下的能力估计准确性最好; 随着项目个数的增加,4个评分者的估计误差迅速下降,且表现变为最好。     

Outliers and Influential Observations in Exponential Random Graph Models

We discuss measuring and detecting influential observations and outliers in the context of exponential family random graph (ERG) models for social networks. We focus on the level of the nodes of the network and consider those nodes whose removal would result in changes to the model as extreme or “central” with respect to the structural features that “matter”. We construe removal in terms of two case-deletion strategies: the tie-variables of an actor are assumed to be unobserved, or the node is removed resulting in the induced subgraph. We define the difference in inferred model resulting from case deletion from the perspective of information theory and difference in estimates, in both the natural and mean-value parameterisation, representing varying degrees of approximation. We arrive at several measures of influence and propose the use of two that do not require refitting of the model and lend themselves to routine application in the ERGM fitting procedure. MCMC p values are obtained for testing how extreme each node is with respect to the network structure. The influence measures are applied to two well-known data sets to illustrate the information they provide. From a network perspective, the proposed statistics offer an indication of which actors are most distinctive in the network structure, in terms of not abiding by the structural norms present across other actors.