大学新生网络使用时间与网络成瘾的关系：有中介的调节模型

通过整群取样的方法选取北京市某所高校2250名大一新生为测查对象, 采用问卷方式探讨了大学新生网络使用时间、网络社交使用占网络使用总时间的比重、网络使用的背景性渴求以及网络成瘾程度之间的关系。基于网络使用满足的相关理论以及渴求的条件反射理论, 本研究构建了一个有中介的调节模型, 即网络社交使用比重在网络使用时间与网络成瘾之间起调节作用, 而且这一调节作用通过网络使用的背景性渴求这一中介变量得以实现。结果显示：(1)大学新生每周上网时间为13.58 ± 8.94小时, 网络社交使用占全部上网时间的比重为27.18 ± 18.15%; (2)网络使用时间、网络社交使用比重、网络使用背景性渴求与网络成瘾的五个维度及总分呈显著正相关; (3)网络使用时间以及网络社交使用比重均能够直接正向预测网络成瘾, 同时网络社交比重在网络使用时间预测网络成瘾这一关系中起调节作用, 即相比较少使用网络社交的被试, 较多使用网络社交的群体表现出更高的网络成瘾程度, 且网络使用时间对网络成瘾程度的预测作用相对较低; 而且网络社交比重的调节作用部分通过网络使用的背景性渴求这一中介变量实现。     

知识划界、追赶焦虑与中国本土心理学的理论建构导向

科学心理学以方法为中心的知识建构策略,内在地要求它与常识心理学划界以谋求自然科学分支的学科地位,其代价是对人类心理之情感与意义维度的隔离。在移植西方心理学体系的过程中,科学心理学的争议也内含于中国心理学的发展轨迹中,同时还附加了学术边陲地区特有的学科追赶焦虑。中国本土心理学理论应突破科学至上的观念束缚,致力于发展具有现实解释力和价值引导力的人文主义导向的心理学理论,以切实解决中国现实社会中的心理问题,并在世界心理学界发出真正的中国声音。     

关于个人利益的心理学研究

个人利益是影响人的行为和态度的一个重要动机因素。该文分3部分系统地介绍了当代心理学家主要是西方心理学家关于个人利益的研究,分析了个人利益在人类行为中的作用、个人利益与态度的关系、个人利益对认知过程的影响以及跨文化差异比较等几个研究方向,从总体上展现了这些研究领域的现状和进展,并提出了值得进一步探究的问题。     

中国农业新发展与食物安全新动态

一、中国农业的新发展 (一)农业发展取得新成就 --食物安全水平逐趋稳定。我国用占世界约 9％的耕地生产了占世界25％左右的粮食产量,解 决了占世界21％左右人口的吃饭问题,基本具备了 年产4.5-5亿吨粮食的综合生产能力。食物的结构 不断优化,肉、蛋、奶、菜、水产品等食物种类在 整个食物结构中的比重不断上升。食物质量安全、 食物营养改善等倍受关注,正着手开始相关立法的 准备工作。     

宣誓动作对大学生诚信认知和诚信感的影响

从具身认知的角度探索了中国文化中的宣誓动作与诚信概念之间的关系,并进一步探讨了做出宣誓的动作后,是否会影响大学生被试的诚信感.结果发现:(1)被试看到做宣誓动作的人会更容易联想到这个人具有诚信的特质;(2)做出宣誓动作后的被试能够体验到更高的诚信感.结论:宣誓动作与诚信概念之间存在无意识的自动化连结,做出宣誓的动作能够...     

Ghrelin level negatively predicts quality of life in obese women

A cross-sectional cohort study was conducted to investigate whether ghrelin level in obese women predicts the quality of life (QOL). A total of 307 subjects fulfilled the criteria: (1) age between 20 and 65 years old, (2) body mass index ≥27 kg/m² (3) waist circumference ≥80 cm were enrolled in the study. All subjects were assigned to one of the plasma ghrelin level categories according to the quartiles. The median of age and BMI of the 307 obese women were 45 ± 18 years and 29.9 ± 4.1 kg/m², respectively. The main outcome evaluated is the associations of plasma ghrelin level and QOL, which were evaluated using multiple linear regression analysis. Results of linear trend test show significant statistical difference in plasma lipoproteins (triglyceride, cholesterol, HDL-cholestero and LDL-cholesterol = and levels of obesity-related hormone peptides, including leptin, adiponectin, insulin among quartiles of ghrelin. Multiple liner regression analysis of serum obesity-related hormone peptide level and QOL using stepwise method shows ghrelin concentration was the only predictor of QOL, including PCS-12 level (β = ?0.18, p = 0.001), MCS-12 level (β = ?0.14, p = 0.009), WHOQOL-BREF scores: physical (β = ?0.13, p = 0.03), psychological (β = ?0.16, p = 0.007), social (β = ?0.21, p?= < 0.001), and environmental (β = ?0.22, p?= <0.001), after adjusting other factors for obese female subjects. This study demonstrated that ghrelin concentration is strongly associated with QOL level among obese women. Hence, ghrelin concentration might be a valuable marker to be monitored in obese women.     

Metaphorical mapping between raw–cooked food and strangeness–familiarity in Chinese culture

Previous research has demonstrated metaphorical mappings between physical coldness–warmth and social distance–closeness. Since the concepts of interpersonal warmth are frequently expressed in terms of food-related words in Chinese, the present study sought to explore whether the concept of raw–cooked food could be unconsciously and automatically mapped onto strangeness–familiarity. After rating the nutritive value of raw or cooked foods, participants were presented with morphing movies in which their acquaintances gradually transformed into strangers or strangers gradually morphed into acquaintances, and were asked to stop the movies when the combined images became predominantly target faces. The results demonstrated that unconscious and automatic metaphorical mappings between raw–cooked food and strangeness–familiarity exist. This study provides a foundation for testing whether Chinese people can think about interpersonal familiarity using mental representations of raw–cooked food and supports cognitive metaphor theory from a crosslinguistic perspective.     

Increased social distance makes people more risk-neutral

Individuals are consistently observed to be risk-averse over gains and risk-seeking over losses. This study examined whether increased social distance would change these behavioral patterns. To test our hypothesis, social distance was manipulated by asking the participants to make decisions either for themselves or for another person (Experiment 1), either for a known person or for an unknown person (Experiment 2), and either for a close friend or for a distant friend (Experiment 3). The results of Experiments 1 and 3 showed that increased social distance made people more risk-neutral, and such an effect was stronger in the gain domain than in the loss domain. However, the effect of social distance was not observed in Experiment 2. These findings suggest that risk preferences are influenced by the social distance between decision makers and beneficiaries.     

(Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions

The autoregressive latent trajectory (ALT) model synthesizes the autoregressive model and the latent growth curve model. The ALT model is flexible enough to produce a variety of discrepant model-implied change trajectories. While some researchers consider this a virtue, others have cautioned that this may confound interpretations of the model's parameters. In this article, we show that some—but not all—of these interpretational difficulties may be clarified mathematically and tested explicitly via likelihood ratio tests (LRTs) imposed on the initial conditions of the model. We show analytically the nested relations among three variants of the ALT model and the constraints needed to establish equivalences. A Monte Carlo simulation study indicated that LRTs, particularly when used in combination with information criterion measures, can allow researchers to test targeted hypotheses about the functional forms of the change process under study. We further demonstrate when and how such tests may justifiably be used to facilitate our understanding of the underlying process of change using a subsample (N = 3,995) of longitudinal family income data from the National Longitudinal Survey of Youth.     

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach

Experimentation is at the heart of scientific inquiry. In the behavioral and neural sciences, where only a limited number of observations can often be made, it is ideal to design an experiment that leads to the rapid accumulation of information about the phenomenon under study. Adaptive experimentation has the potential to accelerate scientific progress by maximizing inferential gain in such research settings. To date, most adaptive experiments have relied on myopic, one‐step‐ahead strategies in which the stimulus on each trial is selected to maximize inference on the next trial only. A lingering question in the field has been how much additional benefit would be gained by optimizing beyond the next trial. A range of technical challenges has prevented this important question from being addressed adequately. This study applies dynamic programming (DP), a technique applicable for such full‐horizon, “global” optimization, to model‐based perceptual threshold estimation, a domain that has been a major beneficiary of adaptive methods. The results provide insight into conditions that will benefit from optimizing beyond the next trial. Implications for the use of adaptive methods in cognitive science are discussed.