基于HO-DINA模型的多级评分认知诊断模型的开发

本文对具有较好发展前景的HO-DINA模型进行拓展,将仅适用于0-1评分题型的HO-DINA模型拓广至可用于多级评分题型,采用MCMC算法实现了对模型参数的估计,并对新模型性能进行了研究。研究发现: （1）本文拓展的多级评分HO-DINA模型参数估计精度较高且诊断正确率较高。（2）多级评分的HO-DINA模型诊断的属性个数越多,属性参数（ 和 ）和s参数估计的精度越差、属性诊断的正确率（MMR和PRM）越低,但能力参数（ ）和g参数的估计精度反而越高。（3）在当前条件下,若想保证属性模式判准率在80%以上,建议诊断的属性个数不宜超过7个。     

逻辑－信念冲突与推理难度对逻辑和信念判断的影响

双加工理论框架下的平行竞争模型和默认干涉模型对推理过程中启发式和分析式加工的启动次序和相互作用的性质提出了不同假设。本研究通过考察被试在信念判断和逻辑判断两种指导语下解决不同难度和不同类型推理问题的正确率和反应时,对两个模型的预测进行了检验。实验结果表明,解决简单问题时,问题类型对信念判断有显著影响,对逻辑判断无显著影响;解决复杂问题时,问题类型对逻辑判断的影响显著大于对信念判断的影响。实验结果支持平行竞争模型的假设,即两类加工在推理过程中同时启动,共同竞争最终的推理反应。     

Impact of series length on statistical precision and sensitivity of autocorrelation assessment in human locomotion

Long-range autocorrelations (LRA) are a robust feature of rhythmic movements, which may provide important information about neural control and potentially constitute a powerful marker of dysfunction. A clear difficulty associated with the assessment of LRA is that it requires a large number of cycles to generate reliable results. Here we investigate how series length impacts the reliability of LRA assessment. A total of 94 time series extracted from walking or cycling tasks were re-assessed with series length varying from 64 to 512 data points. LRA were assessed using an approach combining the rescaled range analysis or the detrended fluctuation analysis (Hurst exponent, H), along with the shape of the power spectral density (α exponent). The statistical precision was defined as the ability to obtain estimates for H and α that are consistent with their theoretical relationship, irrespective of the series length. The sensitivity consisted of testing whether significant differences between experimental conditions found in the original studies when considering 512 data points persisted with shorter series. We also investigate the use of evenly-spaced diffusion plots as a methodological improvement of original version of methods for short series. Our results show that the reliable assessment of LRA requires 512 data points, or no shorter than 256 data points provided that more robust methods are considered such as the evenly-spaced algorithms. Such series can be reasonably obtained in clinical populations with moderate, or even more severe, gait impairments and open the perspective to extend the use of LRA assessment as a marker of gait stability applicable to a broad range of locomotor disorders.     

Divergent effects of detachment from work: a day-level study on employee creativity

Detachment from work during non-work time is generally related to a decrease in work-related strain. However, it might also hamper employees’ generation of new and useful ideas about work by completely shutting off work-related thoughts and/or feelings outside of work. In this day-level study, we used a within-person design to investigate the role of cognitive and emotional detachment from work during non-work time in relation to equivalent types of job demands and job resources, in the prediction of employee creativity. Cognitive detachment from work refers to mentally disconnecting from work and no longer thinking about job-related issues, whereas emotional detachment from work refers to affectively disconnecting from work and no longer experiencing job-related emotions. Survey data were gathered over the course of eight consecutive days from 151 health care employees. Multi-level analyses revealed that: (1) cognitive detachment was positively related to creativity, irrespective of the level of cognitive job demands and resources; (2) high emotional job demands in combination with either low levels of emotional detachment or high levels of emotional job resources were positively related to creativity. This day-level study provides insight into the relation between detachment from work and creativity from a process perspective, by showing specific conditions under which different types of detachment from work benefit employee creativity.     

The epigenesis of stuttering

This paper examines the data on which the Demands and Capacities Model (DCM) is based with the purpose of identifying areas where future research might determine consilience among genetic influences at the physiological, behavioral, and cultural levels. The determination of consilience across different levels would tend to validate the genetic influence on stuttering, but more importantly it would also sharpen the focus of researchers interested in the various possible expressions that genetic influences might have and the way in which they influence the development of the disorder.

Educational objectives: The reader will (1) learn about the distinction, as outlined in the DCM, between environmental/contextual influences on stuttering development and intrinsic/genetic influences on stuttering development; (2) learn about the concept of consilience and its usefulness in conferring validity on parallel constructs at the physiological, behavioral, and cultural levels of stuttering theory; and (3) be able to identify potential areas for research that might help in refining our understanding of the genetic influences on stuttering development.     

情绪即社会信息模型的理论及应用

情绪即社会信息(EmotionsasSocialInformationmodel,EASI)模型旨在阐释他人情绪如何通过情感反应和推断加工机制影响观察者的决策,以及认知动机和合适性判断在其中的调节作用。文章将EASI模型与相关理论进行了辨析,并基于对63项使用该理论的实证研究的分析,梳理归纳了EASI模型在领导力、团队、顾客服务、谈判及说服领域展开的应用,以及影响EASI模型的边界条件——信息加工程度和合适性判断的具体因素。未来研究需加强系统化验证、深化与其它理论的整合、拓展应用情境和优化测量方法。     

Psychopathy and the Five Factor Model in a Noninstitutionalized Sample: A Domain and Facet Level Analysis

The relationship of primary and secondary psychopathic dispositions as measured by the Levenson Self-Report Psychopathy (LSRP) Scales to NEO-PI-R domain and facet scales of the Five Factor Model (FFM) was examined in a sample (N = 463) of young adults. Previous investigations were extended by (1) addressing the relationship of higher- (i.e., domain) and lower-order (i.e., facet) FFM traits to primary and secondary psychopathy in noninstitutionalized persons, in an attempt to validate hypotheses by T. A. Widiger and D. R. Lynam (1998); (2) examining sex differences in FFM traits in relation to these two psychopathic dispositions; and (3) lending further evidence for the validity of the LSRP. LSRP primary psychopathy was marked by low Agreeableness whereas LSRP secondary psychopathy was characterized by high Neuroticism, low Agreeableness, and low Conscientiousness. Although few sex differences were found between primary and secondary psychopathy, findings support the use of NEO-PI-R domain and facet scales in the identification of personality disorder.     

Prior sensitivity in theory testing: An apologia for the Bayes factor

A commonly voiced concern with the Bayes factor is that, unlike many other Bayesian and non-Bayesian quantitative measures of model evaluation, it is highly sensitive to the parameter prior. This paper argues that, when dealing with psychological models that are quantitatively instantiated theories, being sensitive to the prior is an attractive feature of a model evaluation measure. This assertion follows from the observation that in psychological models parameters are not completely unknown, but correspond to psychological variables about which theory often exists. This theory can be formally captured in the prior range and prior distribution of the parameters, indicating which parameter values are allowed, likely, unlikely and forbidden. Because the prior is a vehicle for expressing psychological theory, it should, like the model equation, be considered as an integral part of the model. It is argued that the combined practice of building models using informative priors, and evaluating models using prior sensitive measures advances knowledge.     

Socialized reflexivity and self‐exertion: Mandala Model of Self and its role in mental health

The Mandala Model of Self (MMS) refers to the well‐functioning self leading to ultimate happiness in various cultures. This research provides the first empirical examination of the role of MMS in mental health in Confucian societies. The MMS Scale (MMSS) was developed, and its psychometric properties are described. A correlational study demonstrated that the MMSS, along with its two factors—socialized reflexivity and self‐exertion—validly measures certain mental health constructs. A quasi‐experimental study reliably distinguished persons engaged in the cultivation of the Mandala self from those who had not. Finally, a study with adolescents demonstrated that the scores of the MMSS are a better predictor of resilience than is extroversion or neuroticism. The present research provides empirical support for the theory underlying the MMS and its key contribution to mental health.     

网络欺负中的旁观者行为

网络欺负中的旁观者是指“目击网络欺负事件的个体”。旁观者目击欺负后的行为反应可以分为：亲社会行为和反社会行为。影响旁观者行为的因素有旁观者的个人特质(冲动性、外向性和开放性)、旁观者的心理因素(同理心、自我效能感、社会支持和孤独感)、受欺负个体的自我表露程度和生态环境中的关系等。旁观者效应、道德脱离和旁观者干预模型可以对旁观者目击网络欺负事件后的反应进行解释。未来可以从具身认知、脑神经机制、跨文化和网络环境塑造等方面作出进一步探索。