进一步研究五台山文化保护和管理好五台山遒界文化景观遗产

今天我很有幸参加五台山研究会成立25周年暨今后五年规划的会议。我来到五台县工作已整整一年。在此,我代表县委、县政府和区委、区政府以及五台山管理局向大会表示热烈地祝贺,并向多年来一直关心支持五台山发展、五台县经济发展的各届人士、各位老领导,表示衷心地感谢!     

儿童中期攻击行为测评的多质多法分析

以2695名小学三、四年级的儿童(平均年龄 10.06 ± 0.54岁)作为被试, 使用同伴评定、同伴提名和教师评定对这些儿童的三种攻击行为(身体、言语、关系)进行了测评, 采用相关分析与结构方程模型对儿童攻击行为的多质多法数据进行统计处理。多质多法模型的分析结果显示, 三种方法对儿童攻击行为的测评具有一定的会聚效度, 但区分效度较低; 同伴测评儿童攻击行为的有效性优于教师测评, 其中同伴评定的有效性好于同伴提名。     

春华给申奶奶的一封信

中奶奶： 我看了以前登的那篇文章，很想就宗教信仰问题发表一点自己的看法。我与妈妈谈了自己的想法，妈妈很支持我，并鼓励我参加这样的讨论。于是我就把我最得意的一些想法写出来，讨论一下心理学与宗教信仰问题。     

Perceptual averaging by eye and ear: Computing summary statistics from multimodal stimuli

Beyond perceiving the features of individual objects, we also have the intriguing ability to efficiently perceive average values of collections of objects across various dimensions. Over what features can perceptual averaging occur? Work to date has been limited to visual properties, but perceptual experience is intrinsically multimodal. In an initial exploration of how this process operates in multimodal environments, we explored statistical summarizing in audition (averaging pitch from a sequence of tones) and vision (averaging size from a sequence of discs), and their interaction. We observed two primary results. First, not only was auditory averaging robust, but if anything, it was more accurate than visual averaging in the present study. Second, when uncorrelated visual and auditory information were simultaneously present, observers showed little cost for averaging in either modality when they did not know until the end of each trial which average they had to report. These results illustrate that perceptual averaging can span different sensory modalities, and they also illustrate how vision and audition can both cooperate and compete for resources.     

More Eagerness,More Suffering from Search Bias: Accuracy Incentives and Need for Cognition Exacerbate the Detrimental Effects of Excessive Searching in Finding Romantic Partners Online

The systematic use of Web search tools to browse and evaluate recommendations is widespread. Such tools may be crucial for users to truly benefit from the enormous selection of options available online. However, a recent study demonstrated that a greater number of search options triggered excessive searching and led to inferior decisions (i.e., the more‐means‐worse effect; Wu & Chiou, 2009 ). Given that individuals who are motivated to make accurate choices (the accuracy incentive) tend to engage in broader and more exhaustive searches, Experiment 1 examined how the accuracy incentive influenced the search process. The findings indicated that the accuracy incentive led to excessive searching and poorer choices. Moreover, the search ratio, an indicator of excessive searching, mediated the negative effect of the accuracy incentive on choice quality. Experiment 2 investigated the role of the need for cognition (NFC) in the more‐means‐worse effect. High‐NFC participants demonstrated an increased tendency toward excessive searching and exhibited poorer selectivity than did low‐NFC participants. The current research indicated that the accuracy incentive of online searchers may serve as a determinant of excessive searching and that online searchers characterized by high NFC may be more vulnerable to the negative effects of excessive searching. Copyright © 2015 John Wiley & Sons, Ltd.     

A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing

Statistical methods for identifying aberrances on psychological and educational tests are pivotal to detect flaws in the design of a test or irregular behavior of test takers. Two approaches have been taken in the past to address the challenge of aberrant behavior detection, which are (1) modeling aberrant behavior via mixture modeling methods, and (2) flagging aberrant behavior via residual based outlier detection methods. In this paper, we propose a two-stage method that is conceived of as a combination of both approaches. In the first stage, a mixture hierarchical model is fitted to the response and response time data to distinguish normal and aberrant behaviors using Markov chain Monte Carlo (MCMC) algorithm. In the second stage, a further distinction between rapid guessing and cheating behavior is made at a person level using a Bayesian residual index. Simulation results show that the two-stage method yields accurate item and person parameter estimates, as well as high true detection rate and low false detection rate, under different manipulated conditions mimicking NAEP parameters. A real data example is given in the end to illustrate the potential application of the proposed method.     

Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM

Psychometrika - Cognitive diagnostic models (CDMs) have arisen as advanced psychometric models in the past few decades for assessments that intend to measure students’ mastery of a set of...     

On Interim Cognitive Diagnostic Computerized Adaptive Testing in Learning Context

Interim assessment occurs throughout instruction to provide feedback about what students know and have achieved. Different from the current available cognitive diagnostic computerized adaptive testing (CD-CAT) design that focuses on assessment at a single time point, the authors discuss several designs of interim CD-CAT that are suitable in the learning context. The interim CD-CAT differs from the current available CD-CAT designs primarily because students’ mastery profile (i.e., skills mastery) changes due to learning, and new attributes are added periodically. Moreover, hierarchies exist among attributes taught sequentially and such information could be used during item selection. Two specific designs are considered: The first one is when new attributes are taught in Stage II, but the student mastery status of the previously taught attributes stays the same. The second design is when both new attributes are taught, and previously taught attributes can be further learned or forgotten in Stage II. For both designs, the authors propose an individual prior, which considers a person’s learning history and population learning model, to start an interim CD-CAT. Simulation results show that the Stage II CD-CAT using individual prior outperforms the methods using population priors. The GDINA (generalized deterministic inputs, noisy, “and” gate) diagnostic index (GDI) is extended to accommodate item hierarchies, and analytic results are provided to further illustrate the types of items that are most popular during item selection. As the first study that focuses on the application of CD-CAT in a learning context, the methods and results present herein showed the great promise of using CD-CAT to monitor learning.     

Contribution of Leisure-Time Physical Activity on Psychological Benefits Among Elderly Immigrants

Research provides evidence that leisure-time physical activity engagement promotes health and well-being among older adults. In this study, using data released from the Health and Retirement Study (HRS) in 2008, we focused on the exploration of the relationship between leisure-time physical activity and psychological benefits such as positive affect, optimism, psychological well-being, and life satisfaction among elderly immigrants. The results of this study demonstrated that leisure-time physical activities play an important role in gaining psychological benefits. This finding provided further evidence that leisure-time physical activities provides rich opportunities for elderly immigrants to experience psychological benefits, which may contribute to quality of life and successful aging.