幻想世界的另一种“真实”——论《女巫》叙事的真实性

英国幻想文学大师罗尔德.达尔在其作品《女巫》中,以精准的笔触和出奇的幻想,成功地运用＂叙述上的真实＂、＂细节上的真实＂、＂幻想小说文本自身的真实＂这三种叙事策略,将女巫世界＂描写得如同发生了一样＂,不动声色地便让读者仿佛置身于一个全然真实的幻想世界中,成功地营造了幻想世界＂大真大幻＂的真实性和现场感。     

Application of a new resampling method to SEM: a comparison of S-SMART with the bootstrap

Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method (called S-SMART) and compare the statistical performance of it with that of the bootstrap through an application of them to the most advanced modelling technique, SEM, as an example. The evaluation of the statistical performances of S-SMART and the bootstrap with respect to the standard errors of the parameter estimates was conducted through a Monte Carlo simulation study. This work, while potentially benefiting educational and behavioural research, conceivably would also provide methodological support for other research areas, such as bioinformatics, biology, geosciences, astronomy, and ecology, where large samples are hard to obtain.     

浅谈服装工艺课教学

文章通过对服装工艺课的课程性质的分析,探讨了怎样安排合理的教学内容,采用合理的教学方法和教学手段,以提高教学质量,使学生熟练的掌握技能。     

Eyes wide shut: the fantasies and disavowals of education policy

ABSTRACT

This paper examines the tensions between education policy’s attachment to notions such as excellence and inclusion and its investments in managerial tropes of competition, continuous quality improvement, standards and accountability that are at odds with and which undermine its attachments. In order to explore these tensions, I draw on the psychoanalytic notion of fantasy, explained through Stanley Kubrick’s final film, Eyes wide shut. My argument is that while the individual and society are both constituted through unavoidable division, antagonism and opacity, these notions are obscured through the operations of fantasy which holds out the promise of wholeness, harmony and redemption. In particular, education serves as a key site in which these fantasmatic ideals are promoted and pursued, a claim I substantiate via an analysis of the UK government’s 2016 White Paper, Educational Excellence Everywhere. Specifically, I read the White Paper in terms of five fantasies of: control; knowledge and reason; inclusion; productivity; and victimhood. My argument is that while fantasy is an inescapable element that inevitably structures what we take to be ‘reality’, education policy might strive to inhabit fantasy differently, thereby finding ways of escaping its current mode of seeing education with eyes wide shut.     

Empirical Sample Size Guidelines for Use of Latent Difference Score Mediation

Mediation models are commonly used to identify the mechanisms through which one variable influences another. Among longitudinal mediation methods, latent difference score mediation stands out due to its unique ability to capture nonlinear change over time. However, there is limited information regarding sample size demands to achieve adequate power with this method, resulting in few applications of latent difference score mediation. To address this limitation, the current study presents empirically supported sample size guidelines for 10 common latent difference score mediation structural models and 9 unique population models. The results of this study offer researchers with a set of representative sample estimates that may be used when designing studies or seeking funding.     

基于ESMD与SVM的电能质量混合扰动识别

针对实际电能质量扰动种类繁多、扰动信号差异不明显、存在多种混合扰动,导致识别电能质量非常困难的情况,提出一种基于极点对称经验模式分解方法（ESMD）和支持向量机（SVM）的电能质量混合扰动信号分类识别新方法。首先,对加入白噪声的混合扰动信号利用小波软阈值去噪处理|其次,利用ESMD将信号分解为不同信号分量,对每类扰动的不同信号分量分别提取样本熵和互样本熵特征值,所有分量特征值构成特征向量|最后利用SVM对扰动信号特征向量进行分类和混合扰动识别。研究表明,该方法对混合扰动识别正确率很高,是一个有效的方法。     

Using Monte Carlo Normal Distributions to Evaluate Structural Models With Nonnormal Data

Statistical theories of goodness-of-fit tests in structural equation modeling are based on asymptotic distributions of test statistics. When the model includes a large number of variables or the population is not from a multivariate normal distribution, the asymptotic distributions do not approximate the distribution of the test statistics very well at small sample sizes. A variety of methods have been developed to improve the accuracy of hypothesis testing at small sample sizes. However, all these methods have their limitations, specially for nonnormal distributed data. We propose a Monte Carlo test that is able to control Type I error with more accuracy compared to existing approaches in both normal and nonnormally distributed data at small sample sizes. Extensive simulation studies show that the suggested Monte Carlo test has a more accurate observed significance level as compared to other tests with a reasonable power to reject misspecified models.     

A Quality Math Curriculum in Support of Effective Teaching For Elementary Schools

This paper presents a curriculum, textbook and test result analysis for the new (to California) elementary school “Key Standard” mathematics curriculum, transplanted in 1998 from it's foreign roots in Asia and Europe, locations with far different cultural and economic backgrounds. Based on topic analysis methods developed by Michigan State University, this curriculum is a “quality” curriculum, since it is closely aligned with the curriculum of the six leading TIMSS math countries. Five-year test results are presented for two cohorts totaling over 13,000 students, all from four “early adoption” urban districts where 68% of the students were economically disadvantaged. Included are two cohorts of English learning immigrants totaling over 4,400 students. Performance was found to be statistically superior to similar (control) districts which continued with the old 1991 curriculum and textbooks (0.003 < p < 0.015). The focus of this paper is on the transition from far-below to above average learning performance of these students over the 1998–2002 period.     

人体强制采样的法律规制

通过对人体的强制采样来侦破案件,无疑是发现实体真实的重要手段之一,但又极易造成对公民权利的侵犯,如身体权、人身自由权、人格尊严权、隐私权等。因此,两大法系国家都有关于强制采样的法律规制。由于强制采样与保障公民的基本人权之间存在着紧张的冲突,因此,我国应根据法治国的基本理念,对强制采样进行必要的限制和规范。     

从女子标枪成绩的多元回归分析中看样本含量与F 的取值对结论的影响

以女子标枪6 个变量因素为例, 对三组不同样本含量和F 的取值进行了多元回归分析, 结果表明: 在样本的成绩范围内, 样本n = 10 建立的“最优”回归方程与样本n = 60 , n = 30 的结论基本相同. 认为用样本n = 10建立“最优”回归方程既方便又省力. 强调在作逐步回归分析时, F 的检验临界值要取低些, 并指出: 在指标因素过多时, 应先聚类, 然后分别选出影响最大的指标建立“最优”方程.