REIMAGINING DAOIST ALCHEMY,DECOLONIZING TRANSHUMANISM: THE FANTASY OF IMMORTALITY CULTIVATION IN TWENTY-FIRST CENTURY CHINA

This article studies a new fantasy subgenre that emerged in contemporary China, xiuzhen xiaoshuo (immortality cultivation fiction), which builds imaginary worlds around the magical practice of Chinese alchemy and fuses it with science and technology. After the arrival of the modern, Western triad of science, religion, and magic/superstition, alchemical practices of the Daoist tradition were labeled as a “superstition” to be eradicated; however, they persisted and began to flourish within and beyond the realm of fantasy literature in the late twentieth and early twenty-first centuries. Immortality cultivation fiction has generated a magical form of transhumanism, which envisions human enhancement through techniques beyond the boundaries of “proper” science and “legitimate” religion. While transhumanism in the Euro-American West is popular among white bourgeoisie males and dominated by tendencies to reaffirm the human subject constructed by excluding the various subhuman others, magical transhumanism in Chinese fantasy explores the possibility of transcending that antagonistic relationship and making a posthuman subject and a utopian world.     

Double Agents

Jennifer Herdt's Putting On Virtue argues for the theological and normative superiority of noncompetitive accounts of divine and human agency. Although such accounts affirm the indispensability and sovereignty of divine grace they also acknowledge human agents as active participants in their own moral change. Indeed, Herdt contends we cannot coherently describe the human telos as entailing a transformation of character without affirming that human agents meaningfully contribute to that change. Nevertheless, a recurrent worry in Putting On Virtue is that persons may view their growth in virtue as a personal achievement and that the pleasure of positive self‐regard will displace disinterested—and hence truly virtuous—moral aspiration. This discussion of Herdt's volume sympathetically canvasses her argument. It then looks briefly at the reflexive structure of human agency to consider the relationship between the human telos and the transformation of character, and to encourage a more generous attitude toward positive self‐regard.     

汉字属性匹配与大脑两半球协同活动

在识别汉字时,大脑两半球同时加工的作业成绩是否随加工阶段的增加而显出优势。本研究用汉字形、音、义三种属性分别相匹配的方法用用指定指定提取法,所得实验结果一致表明,形似材料双侧视野同时识别与单侧视野识别成绩无显著差别,而同音与近义材料则表现出双侧呈现显著优于单侧呈现的作业成绩。最后结合脑功能成像研究,对加工阶段影脑半球佃同活动的原因进行了讨论。     

为我国心理科学的发展、繁荣和走向世界而奋斗

该文系作者在中国心理学会第稚届全国心理学学术大会上作的工作报告,总结了中国心理学会第六届理事会１９９３－１９９７年的工作,内容包括四个部分：１．积极开展心理学各分支学科的学术活动,促进我国心理科学巽;２．加强心理科学宣传,办好学术和科刊物,出版《中国心理科学》;３．加强与国际交往,我国心理科学开始走向世界;４．坚持民主办会原则,健全学会的组织机构,提高工作效率。     

社会认知中印象形成的启动效应研究:频因,近因效应

本文以社会认知为出发点,考察印象形成的启动效应,它采用性质不同的成语作为实验材料,并操纵启动刺激的结构,系统探讨了印象形成的启动效应中原因与近因效应,结果发现：当呈现表示同一品质但性质相反的成语时,如果启动刺激和目标刺激之间不延迟,则近因在启动效应中起作用,但在延迟情况下,频因在启动效应中占优势;同时随着延迟的出现,启动效应明显变小。实验结果支持启动效应的突触模式说;     

汉字识别中部件的频率效应

用整字识别、整合识别和部件识别任务探讨部件频率在汉字显示识别中的作用．实验一发现第一部件频率促进低频两部件合体字识别;实验二先后呈现合体字两组成部件并识别整字,第二部件频率有干扰作用;实验三识别合体字中的部件,部件频率有易化作用．部件在汉字识别中的易化和干扰作用受整字频率和结构类型的影响．     

Predictors of media multitasking in Chinese adolescents

We examined predictors of media multitasking in Chinese adolescents from 3 contexts: characteristics of the media user, types of media use and family media contexts. Three hundred and twenty adolescents, 11–18 years of age, completed questionnaires to measure media use, impulsivity, sensation seeking, time management disposition and family media environment. The results showed that media multitasking was positively correlated with age and total media use time. Participants with high levels of impulsivity and sensation seeking reported more multitasking behaviour. Multitasking was negatively correlated with time management. Children from media‐oriented families often engage in more multitasking. What's more, social networking sites use and music use can mediate the effect of individual and family factors on media multitasking.     

A Test by Any Other Name: P Values,Bayes Factors,and Statistical Inference

Procedures used for statistical inference are receiving increased scrutiny as the scientific community studies the factors associated with insuring reproducible research. This note addresses recent negative attention directed at p values, the relationship of confidence intervals and tests, and the role of Bayesian inference and Bayes factors, with an eye toward better understanding these different strategies for statistical inference. We argue that researchers and data analysts too often resort to binary decisions (e.g., whether to reject or accept the null hypothesis) in settings where this may not be required.     

A Comparative Investigation of Confidence Intervals for IndependentVariables in Linear Regression

In linear regression, the most appropriate standardized effect size for individual independent variables having an arbitrary metric remains open to debate, despite researchers typically reporting a standardized regression coefficient. Alternative standardized measures include the semipartial correlation, the improvement in the squared multiple correlation, and the squared partial correlation. No arguments based on either theoretical or statistical grounds for preferring one of these standardized measures have been mounted in the literature. Using a Monte Carlo simulation, the performance of interval estimators for these effect-size measures was compared in a 5-way factorial design. Formal statistical design methods assessed both the accuracy and robustness of the four interval estimators. The coverage probability of a large-sample confidence interval for the semipartial correlation coefficient derived from Aloe and Becker was highly accurate and robust in 98% of instances. It was better in small samples than the Yuan-Chan large-sample confidence interval for a standardized regression coefficient. It was also consistently better than both a bootstrap confidence interval for the improvement in the squared multiple correlation and a noncentral interval for the squared partial correlation.     

Estimation of the Coefficient of Variation with Minimum Risk: A Sequential Method for Minimizing Sampling Error and Study Cost

The coefficient of variation is an effect size measure with many potential uses in psychology and related disciplines. We propose a general theory for a sequential estimation of the population coefficient of variation that considers both the sampling error and the study cost, importantly without specific distributional assumptions. Fixed sample size planning methods, commonly used in psychology and related fields, cannot simultaneously minimize both the sampling error and the study cost. The sequential procedure we develop is the first sequential sampling procedure developed for estimating the coefficient of variation. We first present a method of planning a pilot sample size after the research goals are specified by the researcher. Then, after collecting a sample size as large as the estimated pilot sample size, a check is performed to assess whether the conditions necessary to stop the data collection have been satisfied. If not an additional observation is collected and the check is performed again. This process continues, sequentially, until a stopping rule involving a risk function is satisfied. Our method ensures that the sampling error and the study costs are considered simultaneously so that the cost is not higher than necessary for the tolerable sampling error. We also demonstrate a variety of properties of the distribution of the final sample size for five different distributions under a variety of conditions with a Monte Carlo simulation study. In addition, we provide freely available functions via the MBESS package in R to implement the methods discussed.