信度系数与观测分数和潜在特质的相关比

在经典真分数模型中,信度系数R=D(T)/D(X)。通常认为,信度系数与项目反应理论没有什么联系。事实上,信度系数恰好等于考生观测分数与潜在特质分数的非线性相关比η_(xθ)~2=1-MD(x|θ)/D(X),据此我们得出估计信度系数的一种新途径,同时讨论了x、θ的相关系数与相关比η_(xθ)~2的关系。     

用典型相关进一步研究大学生亲社会倾向和亲社会推理的关系

本研究使用修订后的亲社会倾向量表(PTM)和亲社会客观推理量表(PROM),对大学生群体进行了测查,并采用简单相关和典型相关探讨亲社会倾向和亲社会推理的关系。结果表明:大学生的亲社会倾向由高到低依次为:紧急的、利他的、情绪的、依从的、匿名的和公开的;他们的亲社会推理由高到低依次是:需要定向、刻板定向、内化价值定向、享乐主义定向和赞扬定向。6种亲社会倾向都与刻板定向推理、内化价值定向推理正相关;紧急的、依从的亲社会倾向与需要定向推理正相关;匿名的亲社会倾向与享乐主义定向推理负相关。从典型相关分析结果来看,两者间的整体关联程度没有理论预期的高,典型变量所代表的亲社会倾向主要是紧急的、匿名的、依从的亲社会倾向,而这些亲社会倾向主要由内化价值定向推理、刻板定向推理、需要定向推理来解释。     

Aggregating to the between-person level in idiographic research designs: Personal goal research as an example of the need to distinguish between reliability and homogeneity

In several areas of personality research (e.g., personal networks, interpersonal behaviour, academic effort), the empirical data represent a multilevel structure, in which within-person variables are nested within individuals. Both within-person variation and between-person differences can be related to outcome variables (e.g., emotions, life satisfaction). One major precondition for aggregating within-person data to the between-person level is sufficient reliability of the aggregated data, a point that has received scant attention in previous research. Drawing on the example of personal goal research, we recommend that the two major forms of the intraclass correlation coefficient—the ICC(1) and the ICC(2)—be applied to within-person data in idiographic research designs. These indices allow the homogeneity and reliability of within-person data to be determined separately. Their application is illustrated using data from a study with 4,565 young adults.     

Person and situation effects should be measured in the same terms. A comment on Funder (2006)

In a recent paper in this journal, Funder [Funder, D. C. (2006). Towards a resolution of the personality triad: persons, situations and behaviors. Journal of Research in Personality, 40, 21–34] stated that the effects of person and situation on behavior were independent in principle. In this comment, we argue that Funder’s claim is not a basic law of psychology, but a product of the common statistical approach to define person effects by Pearson correlations and situation effects by differences in group means. As an alternative, we suggest using Intraclass correlations (ICC) with an absolute agreement definition as indicators of intraindividual stability. This approach enables us to directly determine, how much people’s behavior varies or remains the same across situations. We demonstrate the usefulness of the ICC approach, by applying it to both hypothetical and empirical data. However, the question which model is more appropriate is a conceptual one and cannot be answered empirically.     

The philosophy of the Yijing and Jungian analytical psychology: a comparative study

The Yijing (Book of Changes) occupied a very significant position in C.G. Jung’s mind, which was closely related to Richard Wilhelm’s active recommendation and introduction of the Yijing wisdom. Inspired by the Yijing, Jung set forth the ‘principle of synchronicity’, by which scholars tend to discuss the relationship between Yijing and Jungian psychology. In fact, Jungian analytical psychology conceives in-depth onto-cosmological connotations corresponding to the philosophy of the Yijing. The terms invented or employed by Jung such as ‘archetype’, ‘Self’, ‘individuation’, ‘mandala,’ ‘anima and animus’, ‘persona and shadow’ are interrelated with the connotations of Taiji (Supreme Ultimate) (○) and liang yi (two-mode) () in the Yijing philosophy. A comparative study of the two disciplines can help us gain a more comprehensive and deeper understanding of both, and further improve the exchanges of Eastern and Western cultures.     

大数据时代背景下的医学思考*--转化医学新趋势前瞻

作为21世纪最具活力的医学发展模式,转化医学为基础和临床构建了交流沟通的高效平台,当前正朝着多学科、多领域、多系统的方向迈进。随着信息技术与生命科学的交叉融合,生物医学已经迈入大数据时代。大数据既保证了医学实践的深度,有深度才能洞悉本质;又保证了医学实践的高度,有高度才能总揽全局。因此,大数据的出现为深陷还原论泥潭的现代医学提供了有效的解决途径。大数据浪潮对医学基础研究和医疗实践的深远影响,必将为转化医学发展带来新的发展机遇。     

Equivalence tests for comparing correlation and regression coefficients

Equivalence tests are an alternative to traditional difference‐based tests for demonstrating a lack of association between two variables. While there are several recent studies investigating equivalence tests for comparing means, little research has been conducted on equivalence methods for evaluating the equivalence or similarity of two correlation coefficients or two regression coefficients. The current project proposes novel tests for evaluating the equivalence of two regression or correlation coefficients derived from the two one‐sided tests (TOST) method (Schuirmann, 1987, J. Pharmacokinet. Biopharm, 15, 657) and an equivalence test by Anderson and Hauck (1983, Stat. Commun., 12, 2663). A simulation study was used to evaluate the performance of these tests and compare them with the common, yet inappropriate, method of assessing equivalence using non‐rejection of the null hypothesis in difference‐based tests. Results demonstrate that equivalence tests have more accurate probabilities of declaring equivalence than difference‐based tests. However, equivalence tests require large sample sizes to ensure adequate power. We recommend the Anderson–Hauck equivalence test over the TOST method for comparing correlation or regression coefficients.     

The Accuracy of Causal Learning Over Long Timeframes: An Ecological Momentary Experiment Approach

The ability to learn cause–effect relations from experience is critical for humans to behave adaptively — to choose causes that bring about desired effects. However, traditional experiments on experience-based learning involve events that are artificially compressed in time so that all learning occurs over the course of minutes. These paradigms therefore exclusively rely upon working memory. In contrast, in real-world situations we need to be able to learn cause–effect relations over days and weeks, which necessitates long-term memory. 413 participants completed a smartphone study, which compared learning a cause–effect relation one trial per day for 24 days versus the traditional paradigm of 24 trials back- to- back. Surprisingly, we found few differences between the short versus long timeframes. Subjects were able to accurately detect generative and preventive causal relations, and they exhibited illusory correlations in both the short and long timeframe tasks. These results provide initial evidence that experience-based learning over long timeframes exhibits similar strengths and weaknesses as in short timeframes. However, learning over long timeframes may become more impaired with more complex tasks.     

Positive correlation between measures of habitual responding and motivated responding in mice

Habit and motivation are thought to be separate processes, with motivated behavior often considered to be goal directed, whereas habits are defined by the absence of goal-directed control over behavior. However, there has been increasing interrogation of the binary nature of habitual versus goal-directed behavior. Furthermore, although drug and alcohol exposure can promote the formation of habits, drug seeking itself can also be highly flexible, pointing toward the need for complex consideration of the parallel processes that drive behavior. The goal of the current study was to determine whether there was a relation between motivation—as measured by progressive ratio—and habit—as measured by contingency degradation—and whether this relation was affected by ethanol exposure history and sex. The results showed that these measures were positively correlated such that greater contingency insensitivity was associated with achieving higher break points on the progressive-ratio task. However, this relation depended on reinforcement schedule history, ethanol exposure history, and sex. These point to potential relations between measures of habit and motivation and stress the importance of carefully parsing behavioral findings and assays. These findings are also expected to inform future substance use research, as drug history may affect these relations.     

Dielectric and thermodynamic behaviour of binary mixtures of anisole with o-chlorophenol and with o-cresol

The molecular interactions in binary mixtures of anisole with o-chlorophenol and o-cresol have been studied at three different temperatures using dielectric measurements. The static permittivity and the permittivity at optical frequency have also been determined and used to obtain the Kirkwood correlation factors, the Bruggeman parameter, the excess permittivity and the excess free energy for different concentrations of two binary mixtures, namely (1) anisole + o-chlorophenol and (2) anisole + o-cresol. Using the effective Kirkwood correlation factor, parallel and anti-parallel alignments among the dipoles are identified. The corrective Kirkwood correlation factor, the excess permittivity and the Bruggeman parameter are used to explain the interaction between unlike molecules. The temperature dependences of the above parameters are also reported. The investigation shows systematic changes in the dielectric behaviour with variations in concentration and temperature.