高科技掩盖下的现代迷信

随着改革开放的深入和社会环境的变化,一些传统迷信形式的市场已经越来越小,而“现代迷信”却不断变换形式,甚至打着传统文化和现代科学的旗号,借着“舶来”的种种巫术,迷惑和欺骗公众。据一项网上调查显示,80%以上的年轻人根本不相信“巫医跳大神能治好病”这类迷信说法,可是对于披上了时尚外衣的“现代迷信”,他们却丧失了辨别能力。土洋松散结合,中西同流合污,“现代迷信”正在暗流涌动的网络世界里游荡,甚至充斥坊间,招摇过市——现象之一:电脑算命日前,杭州市的一所中学对学生们进行了一项调查,结果有超过10%的中学生迷信“电脑算命”…     

全息项目因素分析在心理学研究中的应用

文章首先指出了经典线性因素分析的种种局限;然后介绍了一种基于“被试—项目矩阵”而非仅仅协方差矩阵或相关矩阵的全息项目因素分析,该方法能克服经典线性因素分析的种种局限,在心理学研究中尤其是人格研究中有着其他因素分析方法不可替代的作用。     

Retraction and Research Integrity Education in China

This article draws the attention of research managers and policy makers to the issue that to become a science power curtailing misconduct is the daunting challenge that emerging countries simply cannot ignore. Systematic and orchestrated efforts are needed to foster and institutionalize research integrity education among all stakeholders.

     

A reinforcement learning approach to personalized learning recommendation systems

Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. With the latest advances in information technology and data science, personalized learning is becoming possible for anyone with a personal computer, supported by a data-driven recommendation system that automatically schedules the learning sequence. The engine of such a recommendation system is a recommendation strategy that, based on data from other learners and the performance of the current learner, recommends suitable learning materials to optimize certain learning outcomes. A powerful engine achieves a balance between making the best possible recommendations based on the current knowledge and exploring new learning trajectories that may potentially pay off. Building such an engine is a challenging task. We formulate this problem within the Markov decision framework and propose a reinforcement learning approach to solving the problem.     

结伴购物情境下消费者冲动购买行为发生机理

冲动性购买是生活中的常见现象, 也是消费者行为研究的重要子领域。围绕单人购物情境下的冲动购买研究成果较多, 而对结伴购物情境下的冲动购买行为研究明显不足。聚焦结伴购物情境下消费者的冲动购买现象, 基于“欲望-意志力”模型, 在情绪感染理论、归因理论等理论基础之上, 采用焦点访谈法、实验法、问卷调查法等研究方法, 从欲望和意志力两个方面, 深入探讨结伴购物消费者冲动购买行为发生的内部决策机理。研究结论将丰富现有结伴购物情境下的冲动购买行为研究内容, 也为企业营销实践、个人冲动购买行为管理以及政府部门开展消费者教育提供理论指导。     

青少年学生焦虑敏感与睡眠质量的关系及其内在机制

采用中学生、大学生焦虑敏感问卷和匹兹堡睡眠质量指数量表(PSQI),分别对1011名中学生和607名大学生进行调查。结果显示高焦虑敏感学生的PSQI总分显著高于低焦虑敏感学生,焦虑敏感及其三个因子与PSQI的相关都是中效应,焦虑敏感对青少年学生睡眠质量指数具有显著的正向预测作用,焦虑敏感水平越高,其睡眠质量越差。焦虑敏感可能以应激事件和健康问题作为致敏源,以焦虑等负性情绪作为敏感内容,在消极自动认知觉察与思维的介入下,进一步放大对有关负性情绪的感受与体验,从而影响青少年学生的睡眠质量。     

Reliability and concurrent validation of the IPIP Big-Five factor markers in China: Consistencies in factor structure between Internet-obtained heterosexual and homosexual samples

Previous studies have suggested the cross-cultural generalizability of a 5-factor structure for personality traits. In this article, we analyzed the utility of 2 versions (100-item and 50-item) of the IPIP Big-Five factor markers in both heterosexual (N = 633) and homosexual (N = 437) samples in China. Factor analysis within versions showed that both versions of these IPIP measures showed clear 5-factor orthogonal structures that were nearly identical to the American structure in both subject samples. The reliabilities of the five factors were quite high except for the 50-item measure of Agreeableness. The part-whole correlations between the 100-item and 50-item factors were high, as were the factor congruence coefficients between the heterosexual and the homosexual samples. Both versions of the IPIP Big-Five factor markers were strongly correlated with the scales from the Big-Five Inventory (BFI: John, Donahue, & Kentle, 1991), thus providing some concurrent validation in a Chinese context.     

不良生活方式形成的原因探析

不良生活方式是慢性病的主要危险因素。生活方式应当既包括生活活动,又包括生产活动,是一种连续的行为。不良生活方式具有自创性、社会性、播散性和可改变性。健康生活方式具有主动性、高尚性、和谐性、适宜性和健康有利性。不良生活方式产生的原因主要有生活目的需求和动机的错位,人格缺陷,社会压力与从众心理,无知及社会的变迁等。     

不良生活方式作用途径及其控制

不良生活方式影响健康的途径包括：病从口入;生活放纵造成机体的衰竭;享受型生活方式“废用”性的机体退化;生活中的失慎与失范导致直接的伤亡;生活压力导致的机体受损;挑战生理极限的心理、生理代价．改变不良生活方式应当遵从科学的原则和一定的标准。