Stability of the Positive Mood Effect on Creativity When Task Switching,Practice Effect,and Test Item Differences are Taken into Consideration

Although experimentally induced positive mood can generally last for 20 min and the induced mood is conducive to creative performance, it is still unclear whether the facilitation effect is stable during these 20 min. Two studies were conducted to examine this issue while controlling for the impacts of task switching, practice effect, and test item differences. In Study 1, participants (N = 42) were randomly assigned to positive, negative, and neutral mood conditions. After watching a short video clip, participants answered four items of the Alternate Uses Test (AUT) in 20 min, with 5 min allotted for each item. Creative performance during each 5‐min period was scored in terms of fluency and flexibility. Separate repeated‐measures analyses of variances on these creativity scores showed that positive mood consistently enhanced performance over 20 min. Study 2 further eliminated the effects of test item differences and test order. Participants (N = 131) underwent the same mood induction procedure and answered the same four items of the AUT, except that these items were presented in four different sequences in accordance with the Latin square design. Consistent with the findings in Study 1, Study 2 showed that the facilitation effect of positive mood lasted for 20 min when the interference of task switching, practice effect, and test item differences were minimized. This finding not only sheds light on the debate regarding the stability of experimentally induced positive mood effect, but also contributes to the body of empirical evidence that future studies may use to examine the positive mood effect over a relatively long period of time.     

Associations between multiple health risk behaviors and mental health among Chinese college students

Although there is substantial evidence that health risk behaviors increase risks of premature morbidity and mortality, little is known about the multiple health risk behaviors in Chinese college students. Here, we investigated the prevalence of multiple health risk behaviors and its relation to mental health among Chinese college students. A cross-sectional study was conducted in Wuhan, China from May to June 2012. The students reported their health risk behaviors using self-administered questionnaires. Depression and anxiety were assessed using the self-rating depression scale and self-rating anxiety scale, respectively. A total of 2422 college students (1433 males) aged 19.7 ± 1.2 years were participated in the study. The prevalence of physical inactivity, sleep disturbance, poor dietary behavior, Internet addiction disorder (IAD), frequent alcohol use and current smoking was 62.0, 42.6, 29.8, 22.3, 11.6 and 9.3%, respectively. Significantly increased risks for depression and anxiety were found among students with frequent alcohol use, sleep disturbance, poor dietary behavior and IAD. Two-step cluster analysis identified two different clusters. Participants in the cluster with more unhealthy behaviors showed significantly increased risk for depression (odds ratio (OR): 2.21; 95% confidence interval (CI): 1.83, 2.67) and anxiety (OR: 2.32; 95%CI: 1.85, 2.92). This study indicates that a relatively high prevalence of multiple health risk behaviors was found among Chinese college students. Furthermore, the clustering of health risk behaviors was significantly associated with increased risks for depression and anxiety.     

女性主义认同发展量表的中文版修订

目的:修订女性主义认同发展量表(feminist identity development scale,FIDS),检验其在中国女性大学生群体中的信度和效度。方法:对1657名女性大学生施测中文版FIDS、自尊量表(the self-esteem scale,SES)和矛盾性别偏见量表(ambivalent sexism inventory,ASI)中的敌意性别偏见分量表,随后进行项目分析、信度分析、探索性因子分析、验证性因子分析和效标效度的检验。结果:修订后的中文版FIDS共有27个条目,保留了5个分量表,分别是被动接受、醒悟、融合发展、整合和积极投入,累积方差贡献率为56.18%; 五因子模型拟合较好(χ2/df=2.99,IFI=0.92,CFI=0.92,GFI=0.92,TLI=0.91,RMSEA=0.05); 中文版FIDS的内部一致性系数(Cronbach’s α)在0.71～0.89之间,分半信度在0.75～0.90之间。结论:修订后的中文版FIDS在中国女性大学生群体中具有较好的信效度,是测量女性主义认同发展水平的有效工具。     

情绪对饮食行为的影响

人类的饮食行为受到诸多因素的影响, 包括生理因素、心理因素及社会文化因素等, 其中情绪对饮食行为的影响日益受到研究者的重视, 这种影响一般表现为摄入量的多少和食物(热量)的选择。通过探讨不同情绪下临床和非临床个体食物摄入量的表现, 总结发现消极情绪导致个体暴饮暴食的可能更大。积极情绪影响下的饮食行为的研究结果则存在分歧: 生理角度解释为积极情绪能够促进个体的享乐机制, 导致进食行为增加; 而自我控制理论则认为积极情绪增加了个人资源以抵制美食诱惑。此外, 进一步探讨了情绪影响下饮食行为的神经生理机制。未来在饮食相关的临床研究和治疗上, 需要对情绪影响下的饮食行为有更深入的神经机制方面的探究。     

眼睛区域构型信息与特征信息的跨维共变增益效应及其加工特异性

面孔知觉可能在区域尺度上发生多维信息整合, 但迄今无特异性实验证据。本研究在两个实验中操纵面孔眼睛区域或嘴巴区域的单维构型或特征信息, 测量人们觉察单维变化或跨维共变的敏感度, 以此检测面孔区域尺度上的多维信息整合有何现象与规律, 进而揭示面孔知觉的多维信息整合机制。实验获得3个发现：(1)正立面孔眼睛区域的信息变化觉察呈现出“跨维共变增益效应”, 跨维信息共变觉察的敏感度显著高于任意一种单维信息变化觉察的敏感度; (2)“跨维共变增益效应”只在正立面孔的眼睛区域出现, 在倒置面孔的眼睛区域、正立面孔的嘴巴区域或倒置面孔的嘴巴区域都没有出现, 因此具有面孔区域特异性和面孔朝向特异性; (3)就单维信息变化觉察而言, 眼睛区域的敏感度不会受到面孔倒置的损伤, 但是嘴巴区域的敏感度会受到面孔倒置的显著损伤。综合可知, 面孔知觉确实会发生区域尺度上的信息整合, 它不是普遍性的信息量效应, 而是特异性的眼睛效应(只发生在正立面孔的眼睛区域)。这是面孔整体加工(face holistic processing)在单维信息分辨和多维信息整合之间建立联系的必经环节。这提示我们对全脸多维信息知觉整合的理解需要从传统的面孔整体加工假设升级到以眼睛为中心的层级化多维信息整合算法(a hierarchical algorithm for multi-dimensional information integration)。     

Is There Any Good Reason to Say Goodbye to “Ethnomethodology”?

This paper is an essay about Harold Garfinkel??s heritage. It outlines a response to Eric Livingston??s proposal to say goodbye to ethnomethodology as pertaining to the sociological tradition; and it rejects part of Melvin Pollner??s diagnosis about the changes occurred in ethnomethodological working. If it agrees with Pollner about the idea that something of the initial ethnomethodology??s program has been left aside after the ??work studies?? turn, it asserts that such a turn has nonetheless made possible authentic discoveries. So the paper speaks for a better integration of the two versions of ethnomethodology separated by Pollner.     

Shear band evolution during large plastic deformation of brittle and ductile metallic glasses

Four monolithic metallic glasses (MMGs) with different plasticities varying from brittle to ductile behavior under unconstrained loading were subjected to small punch testing. All specimens undergo large plastic deformation with multiple cobweb-like shear bands under these conditions. The process of shear band evolution was carefully controlled and investigated. Plasticity of MMGs is characterized by equivalent plastic strain ε* (product of shear band density and critical shear offset). Thus, this article provides an experimental basis for a better understanding of the shear band evolution during plastic deformation of MMGs.