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。     

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.     

GPCM模型项目参数估计程序的开发与研究

该文对GPCM的项目参数估计的方法进行较为深入的探讨,特别对容易混淆的参数初值计算以及项目参数分两步进行估计的原因进行了阐述。并且基于MMLE／EM算法,开发了相应的项目参数估计程序。通过大量的蒙特卡洛模拟,与国外专业软件PARSCALE比较,本程序的步骤参数估计值更好,区分度参数估计值相当,具有较好的应用价值。     

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.     

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。     

工作特征对工作者的影响——要求-控制模型与工作要求-资源模型的比较

工作特征是指与工作相关的因素或属性, 它对工作者的身心健康有重要影响。通过对比研究发现, 虽然要求-控制模型(Demand-Control Model, 简称DC模型)将工作特征分为相对具体的工作要求、工作控制和社会支持, 工作要求-资源模型(Job Demands-Resources Model, 简称JD-R模型)则将工作特征划分为更为概括的工作要求和工作资源两个维度, 但是它们关注的结果变量都包含个体身心健康和组织工作绩效, 都强调了工作特征对工作者的影响。在今后的研究中, 应深入探讨不同职业中起关键作用的工作特征和不同资源与要求组合的作用, 进一步研究工作特征模型对不同特点个体和我国民众群体的适用性, 并尝试将研究成果应用于工作再设计的实践, 以促进工作者的职业健康。     

Johnson—Laird的“心理模型”理论述评

该文对Johnson—Laird的心理模型理论从心理模型的含义、表述该理论的一组原理、推理过程、该模型对推理结果的预测等方面作了综合评述,并对该理论在不同推理形式的心理模型描述方面作了解析。在充分肯定该模型对推理心理学的发展所作出的重要贡献的同时,也指出了这一模型在理论表述中所存在的主要问题。     

Personality traits and health‐risk behaviours in university students

Relations between personality and health‐risk behaviours in university undergraduates were examined using multiple measures of personality across multiple samples (N = 1151). Big Five personality variables, at both factor and facet levels, were used to predict three specific health‐risk behaviours: (a) tobacco consumption, (b) alcohol consumption and (c) speeding in an automobile. Our findings showed that low Conscientiousness and low Agreeableness were uniformly associated with this cluster of potentially health damaging behaviours. Extraversion was additionally associated with alcohol use. Interaction effects were found between Conscientiousness and Agreeableness on smoking and (for men only) on drinking. Other personality variables not centrally related to the Big Five, such as Risk‐Taking (high) and Integrity (low), were also implicated in the present health‐risk behaviours. Copyright © 2009 John Wiley & Sons, Ltd.     

Rejoinder on the normalized maximum likelihood and Bayesian decision theory: Reply to Grünwald and Navarro (2009)

We provide a short reply to [Grünwald, P., & Navarro, D. (2009). NML, Bayes and true distributions: A comment on Karabatsos and Walker. Journal of Mathematical Psychology, in press (doi:10.1016/j.jmp.2008.11.005)] comment on the article by [Karabatsos, G., & Walker, S. (2006). On the normalized maximum likelihood and Bayesian decision theory. Journal of Mathematical Psychology, 50, 517-520].