十五年来中国男性择偶标准的变化

对《中国妇女》1985年至2000年15年间每隔5年选择一年,并在每一季度中选择一期杂志,统计男性刊登的征婚启事,总共得到332例。采用统计学方法进行定量研究。发现中国男性在15年间对自身的人品、财产、相貌的重视程度显著增高,对自身的婚史和事业的重视程度明显降低;对女方的持家能力的重视程度显著增高,对女方的健康和工作的重视程度显著降低。当代中国男性的择偶标准随时间的推移有了明显的变化,但仍受到中国传统观念的影响。     

阅读理解水平对文章信息保持迁移影响的研究

探讨阅读理解水平不同的被试前后两次阅读的文章结构与内容上的共同性对目标文章信息保持的迁移效应。研究结果表明：阅读理解水平的差异影响信息保持的迁移效应;被试必须具有一定的阅读理解水平,文章的结构特征与内容特征才会对文章信息的迁移有促进作用。     

生活事件、性格对某些心身疾病的影响的调查分析

本文用生活事件经历调查表(LEES)对278名心身疾病者,282名癌症患者和 273名健康人(对照组)作调查。结果表明:心身疾病和癌症患者病前出现应激性事件的频度(人次),及对事件产生负性情绪体验的强度(得分)皆明显高于对照组。在应激性生活事件中,家庭事件因素的频度和强度均较高,从某种意义上说,它可能是心身疾病和癌症的重要前因之一。生活事件强度体验与个体个性特征、应付策略和社会支持有关。     

潘菽心理学思想的后经验主义蕴含

今年是中国心理学泰斗,理论心理学奠基人潘菽先生诞辰110周年。纪念潘菽先生,意味着继承和发扬潘菽先生的心理学思想。从后经验主义理论心理学的视角来看,潘菽先生的心理学思想仍然具有当代性和启发性,特别是在强调理论对经验研究的优先地位、强调理论对经验现实的建构作用、强调理论的实践品性、强调理论的历史性向度,以及强调理论研究的中国心理学归宿等方面,显示出卓越的远见。     

Characteristics of Internet use in relation to game genre in Korean adolescents.

As the number of internet users increases, a new game genre using the internet as a networking tool is emerging. Some game genres are regarded as having greater addiction potentials than others. Games and the internet are closely related. We investigated games frequently used by adolescents and classified each of them with the help of game professionals. We also examined internet use patterns to identify relationships between game genre and internet use patterns. 627 middle school and high school students (male 488, female 139) completed questionnaires concerning computer and game use patterns and Korean internet addiction scales. Game genres were divided into eight criteria (simulation, role playing game, web board, community, action, adventure, shooting, and sports). Using Korean internet addiction scales, 627 participants were divided into a normal group (474), a potential risk group (128), and a high-risk group (25). Each group showed significant differences in total internet addiction scores. We classified players into specific game users based upon the game types they most prefer. Role playing game users showed significantly higher internet addiction scores than web board and sports game users. Game and internet addictions are also connected with interpersonal relationship patterns. We suggest that users of some game genre have unique psychological addiction potentials that are different from others and that this influences both game selection and internet use.     

中小学生师生关系发展特征研究

本研究从学生角度去探讨中小学师生关系在亲密性、主动性和合作性等方面的特点。研究结果表明：师生关系亲密性总体呈随年级升高下降的趋势,女生在师生关系亲密性上得分比男生高;师生关系主动性总体随年级升高而降低,年级X性别的交互作用在中小学都很明提;师生关系合作性总体随年级升高而降低,年级X性别的交互作用最明显出现在小四至初二阶段;师生关系的亲密性、合作性和主动性三方面并非平均发展,合作性表现最高,主动性表现最低,亲密性居中。     

体育专业大学生网络心理特点研究

目的:探讨体育专业大学生网络心理的特点。方法:采用自编大学生网络心理问卷,对某省236名体育专业大学生和331名非体育专业大学生的网络心理进行调查和比较。结果:(1)体育专业大学生网络喜好程度显著低于非体育专业大学生。(2)体育专业大学生对网络依恋程度低于非体育专业大学生。(3)体育专业大学生对网络人际交往依赖程度低于非体育专业大学生。(4)体育专业大学生在上网目的性上表现为"学习需要"等,非体育专业大学生上网是为了"寻求自信"等。     

投资行为中的突显、过度自信、高估现象研究

本研究采用知觉突显(物理、熟悉、背景突显)与过度自信及股价估值匹配的测试方法,比较突显是否存在高估及过度自信现象.研究发现物理突显、熟悉、背景突显均存在高估现象、新股民、低学历、女性突显造成的知觉错觉更高;高突显同时具有高过度自信,对熟悉的股票具有高过度自信且估值高,老股民、高学历、男性,过度自信高.     

Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of fMRI Data in Economic Decision Making Study

Decision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we analyze functional magnetic resonance imaging (fMRI) data on 17 subjects who were exposed to an investment decision task from Mohr, Biele, Krugel, Li, and Heekeren (in NeuroImage 49, 2556–2563, 2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park, Mammen, Wolfgang, and Borak (in Journal of the American Statistical Association 104(485), 284–298, 2009) and identify task-related activations in space and dynamics in time. With the panel DSFM (PDSFM) we can capture the dynamic behavior of the specific brain regions common for all subjects and represent the high-dimensional time-series data in easily interpretable low-dimensional dynamic factors without large loss of variability. Further, we classify the risk attitudes of all subjects based on the estimated low-dimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects’ decision behavior.