The dreaming brain/mind, consciousness and psychosis

Several independent lines of research in neurobiology seem to support the phenomenologically-grounded view of the dreaming brain/mind as a useful model for psychosis. Hallucinatory phenomena and thought disorders found in psychosis share several peculiarities with dreaming, where internally generated, vivid sensorimotor imagery along with often heightened and incongruous emotion are paired with a decrease in ego functions which ultimately leads to a severe impairment in reality testing. Contemporary conceptualizations of severe mental disorders view psychosis as one psychopathological dimension that may be found across several diagnostic categories. Some experimental data have shown cognitive bizarreness to be equally elevated in dreams and in the waking cognition of acutely psychotic subjects and in patients treated with pro-dopaminergic drugs, independent of the underlying disorder. Further studies into the neurofunctional underpinnings of both conditions will help to clarify the use and validity of this model.     

Properties of reverse hazard functions

For continuous distributions reverse hazard is defined as the probability density divided by the cumulative probability, F(x); whereas the usual hazard function is the density divided by the survivor function, 1−F(x). Reverse hazard corresponds to the conditional density of an immediate failure or state change, conditioned by the fact that the state change occurred. For example, of all the items that failed, the proportion of those items that immediately failed is reverse hazard. Reverse hazard exhibits many symmetrical properties with hazard. In this paper a set of theorems are developed that explicate the properties of reverse hazard for both continuous and discrete probability distributions. Taken together, hazard and reverse hazard are a powerful set of theoretical constructs that are valuable for understanding stochastic systems.     

HO-DINA模型的MCMC参数估计及模型性能研究

认知诊断目前在国内外越来越受到重视,而要真正实现认知诊断,需借助一定的计量学模型即认知诊断模型。国际上,目前已开发近60种认知诊断模型,不同模型又各具特点。本研究重点分析国外研究较成熟的模型--HO-DINA/DINA模型,具体探讨该模型参数估计的实现及模型性能,采用Monte Carlo模拟方法进行,研究发现：(1)本研究对项目参数、属性参数和被试参数估计返真性较好、稳健性较强、HO-DINA模型具有较高的判断率,MCMC算法可行;（2）诊断的属性个数越多,诊断的模式正确率越低,建议实际使用该模型时,诊断的属性个数不宜超过7个;（3）用于诊断的项目数越多,诊断的模式正确率越高,在实际工作中,若要保证有80%以上的模式判准率,则4个属性的至少需20题,5个、6个和7个属性的至少需要40题,8个属性至少需60题。实际运用者应根据实际情况考虑适当的项目数及属性数。     

基于胜任特征模型的人才招聘与选拔

胜任特征模型理论在企业人力资源管理过程中应用越来越广泛。尤其是在人才招聘与选拔过程中的作用更为重要。本文以胜任特征模型为切入点,分析该模型的基本理论和特点、模型的构建过程以及在实际人才聘任与选拔过程中的应用,为企业人力资源管理者更好地实现人职匹配提供方法和依据,有助于企业人力资源得到合理配置,提高组织绩效,赢得竞争优势。     

Exercise Stage of Change and Self-Efficacy in Primary Care: Implications for Intervention

Multiple chronic diseases are caused or complicated by a sedentary lifestyle. Thus, an important and challenging application of psychology in clinical settings is changing the behavior of sedentary primary care patients. This study focused on exercise stage of change and self-efficacy in a sample of adult family practice patients recruited while waiting for their scheduled physician appointment. Regarding exercise stage of change, 15% of respondents were in the Precontemplation stage, 26% in the Contemplation stage, 50% in the Preparation stage, 7% in the Action stage, and 13% in the Maintenance stage. Mean self-efficacy scores for exercise were significantly higher among respondents in the Action and Maintenance stages of change. These cross-sectional data are consistent with the hypothesis that movement through the exercise stages of change could be encouraged by clinical interventions that increase exercise self-efficacy. The identification of multiple personal opportunities for increasing exercise self-efficacy may be clinically useful in this context. Recommendations for psychologists in primary care settings in their work with physicians are offered.     

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。     

创业人格研究述评

创业领域的人格研究在经过了繁荣发展后, 于20世纪90年代受到了广泛的批评。本文在简要介绍了创业人格的研究历程后, 首先介绍了创业者人格特征与成功模型, 然后总结了创业研究中的具体人格特质和一般人格特质, 并从概念、样本、工具等六个方面分析了这类研究受到广泛质疑的原因, 最后指出了创业人格研究的四个努力方向：(1)创业内涵的界定和理论模型的建构; (2)研究设计和测量的改进; (3)调节与中介变量的考察; (4)创业绩效变量的更细致区分。     

基于项目节点的多级评分模型的统一

多级评分项目由于可以提供更多关于被试的信息而被广泛的使用。本文首先通过引用一个多级评分的数学试题, 给出了项目节点这一概念。假设被试在项目节点上的正确反应概率为二参数逻辑斯蒂模型之下, 本文通过分析三种不同类型的多级评分项目, 得出了三个评分模型, 其中一个和等级反应模型在形式上是一样的。鉴于我国目前考试测量所使用的多级评分项目的形式, 可以运用本文所述的项目节点的方法将项目评分模型统一提出。     

形成性测量模型：结构方程模型的新视角

形成性测量模型(Formative Model, FM)是指标变异导致潜变量变异的模型, 反映性测量模型(Reflective Model, RM)是潜变量变异导致指标变异的模型。FM在模型界定、识别和估计、信效度评价以及模型应用等方面均与RM存在极大的不同。模型界定错误会使参数估计发生偏差, 影响统计结论的有效性, 应当审慎考虑指标和潜变量之间的关系, 选择恰当的测量模型。进一步揭示两者的区别和误用带来的偏差, 完善FM的识别和估计、信效度评价方法、对变量含义的解释以及高阶FM的理论解释和模型估计是未来的研究方向。