Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and practical challenges. To address these challenges, a comprehensive COSAN modeling approach is proposed. Specifically, we define four COSAN-CCA models to correspond with four possible combinations of the data to be analyzed and the unique parameters to be estimated. In terms of the data, one can analyze either the unstandardized or standardized variables. In terms of the unique parameters, one can estimate either the weights or loadings. Besides the unique parameters of each COSAN-CCA model, all four COSAN-CCA models also estimate the canonical correlations as their common parameters. Taken together, the four COSAN-CCA models provide the correct point estimates and standard error estimates for all commonly used CCA parameters. Two numeric examples are used to compare the standard error estimates obtained from the MIMIC approach and the COSAN modeling approach. Moreover, the standard error estimates from the COSAN modeling approach are validated by a simulation study and the asymptotic theory. Finally, software implementation and future extensions are discussed.     

Effects of auditory rhythm on movement accuracy in dance performance

The present study addresses the impact of the rhythmic complexity of music on the accuracy of dance performance. This study examined the effects of different levels of auditory syncopation on the execution of a dance sequence by trained dancers and exercisers (i.e., nondancers). It was hypothesized that nondancers would make more errors in synchronizing movements with moderately and highly syncopated rhythms while no performance degradation would manifest among trained dancers. Participants performed a dance sequence synchronized with three different rhythm tracks that were regular, moderately syncopated, and highly syncopated. We found significant performance degradation when comparing conditions of no syncopation vs. high syncopation for both trained dancers (p = .002) and nondancers (p = .001). Dancers and nondancers did not differ in how they managed to execute the task with increasing levels of syncopation (p = .384). The pattern of difference between trained dancers and nondancers was similar across the No Syncop and Highly Syncop conditions. The present findings may have marked implications for practitioners given that the tasks employed were analogous to those frequently observed in real-life dance settings.     

听觉预测编码：对声音重复和变化的神经反应

预测编码被认为是脑与复杂环境交互的重要机制之一, 有效感知外界环境并对未来事件做出预测, 对个体生存有着至关重要的意义。人类大脑会基于感觉输入以迭代的方式持续优化表征外部环境的内部模型, 并不断预测接下来的感觉输入。以听觉模态为例, 人类及动物对声音重复和听觉变化的神经反应(如失匹配负波和刺激特异性适应)是大脑预测编码的重要体现, 表现为重复抑制和预测误差。结合人类和动物模型在此理论框架下开展跨物种研究将有助于加深我们对听觉加工, 甚至是大脑工作机制的认识。     

Exploring rates of transgender individuals and mental health concerns in an online sample

Background: Prevalence estimates of adults identifying as transgender are scarce, particularly in the United States. Method: The current study endeavored to estimate the prevalence of individuals identifying as transgender in a large online sample of adult U.S. residents (n = 6,727) and compare the prevalence of common mental health disorders (depression, anxiety, attention-deficit/hyperactivity disorder) and the age of onset for individuals identifying as men or women versus those identifying as transgender. Results: The prevalence estimate of individuals identifying as transgender was 0.8%. Individuals identifying as transgender were significantly more likely than individuals identifying as men or women to report having had a single diagnosis or co-occurring diagnoses for all three disorders examined. Additionally, transgender individuals were more likely than individuals identifying as men or women to receive a diagnosis of anxiety or depression at a younger age. Conclusion: Given the prevalence of transgender individuals and the associations with common mental health conditions, clinicians must be informed and competent to care for their clinical needs. This study introduces online crowdsourcing resources as a potentially fruitful option for reaching and researching gender diversity.     

中国情境下团队伦理决策的过程机制及影响因素

尽管绝大多数商业伦理决策都是由团队而非个人所做出的,但目前对团队伦理决策的研究还很少,尤其缺乏基于理论的深入研究。在前人研究的基础上,借鉴个体伦理决策和团队决策方面的研究成果,结合中国文化强调反省、中庸、威权领导等特点,我们对团队伦理决策的过程机制及影响因素的作用模式展开理论驱动的深入研究。具体来讲,将综合利用多种方法来进行两个方面的4项子研究。在团队伦理决策的过程机制方面,拟开展团队伦理决策的过程机制模型构建研究,然后聚焦于团队伦理决策和个体伦理决策的核心区别,展开基于社会决策图式理论的团队伦理决策观点整合机制研究;在团队伦理决策的影响因素作用模式方面,拟从成员和领导两个方面来进行:基于信息加工和团队冲突的成员多样性对团队伦理决策的影响机制研究,基于信息取样模型的领导特征对团队伦理决策的影响机制研究。     

Priors in perception: Top-down modulation,Bayesian perceptual learning rate,and prediction error minimization

I discuss top-down modulation of perception in terms of a variable Bayesian learning rate, revealing a wide range of prior hierarchical expectations that can modulate perception. I then switch to the prediction error minimization framework and seek to conceive cognitive penetration specifically as prediction error minimization deviations from a variable Bayesian learning rate. This approach retains cognitive penetration as a category somewhat distinct from other top-down effects, and carves a reasonable route between penetrability and impenetrability. It prevents rampant, relativistic cognitive penetration of perception and yet is consistent with the continuity of cognition and perception.