文学语境的多维视界

语境作为参与建构文学话语的因素 ,是一个需从多维视界加以审视的复杂体。语境各因素交织于文学话语的语符层面、认知层面与审美层面 ,组成了文学话语与语境的多维形态。它构成了文学话语语境要素间平衡与不平衡的辩证关系。语境要素的相互融合 ,常是由文学话语视角的交替引起的。相融合的语境要素可能处在互动的干预中。语境层面的多维性使文学话语的表达与接受也呈现出多样性 ,造成了话语表层价值与接受者价值认证间的差异。     

实验设备管理中几种决策的理论研究

该文章就实验设备维护中怎样配备恰当的维修人数问题,以及如何选择最佳管理模式问题进行了深入的研究,用数学的方法从理论上解决了这些问题。     

反生产行为管理策略研究:组织公正视角

通过对反生产行为控制策略文献的研究,以组织公正效果变量为基础,通过前人对组织公正的三维度、组织公正效果变量的三维度,结合反生产行为人际—组织二维度构建组织公正对反生产行为的影响机制,并依据该机制提出有效的管理策略和步骤。     

三元函数极值的探索

函数极值的存在性及判别方法是微分的重要应用之一.文章就三元函数给出了判别极值的存在的一个必要条件和充分条件.     

Lenguaje y rendimiento escolar: Un estudio predictivo

La incidencia de las competencias lingüistícas del escolar sobre las adquisiciones escolares en las demás áreas del currículum es una realidad que todos los maestros pueden comprobar día a día. En este trabajo se investiga esa incidencia, medida a través de la variable fracaso escolar, y sus resultados podrían permitir extraer algunos principios de intervención educativa precoz en algunos aspectos del lenguaje cruciales para la escolaridad posterior.     

Variance Estimation Using Replication Methods in Structural Equation Modeling With Complex Sample Data

This article discusses replication sampling variance estimation techniques that are often applied in analyses using data from complex sampling designs: jackknife repeated replication, balanced repeated replication, and bootstrapping. These techniques are used with traditional analyses such as regression, but are currently not used with structural equation modeling (SEM) analyses. This article provides an extension of these methods to SEM analyses, including a proposed adjustment to the likelihood ratio test, and presents the results from a simulation study suggesting replication estimates are robust. Finally, a demonstration of the application of these methods using data from the Early Childhood Longitudinal Study is included. Secondary analysts can undertake these more robust methods of sampling variance estimation if they have access to certain SEM software packages and data management packages such as SAS, as shown in the article.     

Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying time points, assuming linear growth. This article describes how to fit 4 popular nonlinear LGMs (polynomial, shape-factor, piecewise, and structured latent curve) with truly individually varying time points, via a definition variable approach. The extension is straightforward for certain nonlinear LGMs (e.g., polynomial and structured latent curve) but in the case of shape-factor LGMs requires a reexpression of the model, and in the case of piecewise LGMs requires introduction of a general framework for imparting piecewise structure, along with tools for its automation. All 4 nonlinear LGMs with individually varying time scores are demonstrated using an empirical example on infant weight, and software syntax is provided. The discussion highlights some advantages of modeling nonlinear growth within structural equation versus multilevel frameworks, when time scores individually vary.     

连动成分语用性移位的主观性

汉语句子中连动成分排列大部分按照动作发生先后顺序或者事理因果顺序,一般认为动词顺序是不能随意改变的,但是在交际过程中,根据交际者说话内容不同,所要强调信息不同,有时候可以打乱这种排列顺序,由此产生了连动成分语用性移位现象,而且这种移位带有主观性。对语用性移位情况从主观性角度阐释,利于人们用更准确言语形式传达信息。     

基于贝叶斯估计的Context量化器设计方法

介绍了一种基于贝叶斯估计的Context量化器设计方法.通过将自适应码长增量与贝叶斯估计中的先验概率估计进行结合,使得该量化器在不需要先验知识的情况下,既考虑到Context量化本身的特点,又使得编码后信源的自适应码长最短,最终保证了Context量化的自适应性.实验结果表明,该Context量化器设计方法能获得最优量化结果,达到设计目标.     

影响知识型员工区域间流动三类要素关系分析

本文的研究目的是了解知识型员工的区域间流动的三类要素的关系,即人口统计变量、价值观和区域性因素偏好的关系。通过对625名知识型员工的问卷调查,获得人口统计变量、价值观和区域性因素的偏好的相关数据,对其进行独立样本T检验、单因素方差分析和相关分析,得出了人口统计变量、价值观和区域性因素偏好部分相关的结论。