英语功能语法学与英语教学

不同于传统语法所提供的各种语法规则,功能语法学是一种非常丰富的语言描述方法,它关注语言在各种社会语境中使用的不同形态;并且还观察语言所承担的各种社会功能以及对读者或听众所产生的影响。它应当被当成是传统语法的丰富和补充。同时,功能语法提供给教师的是一种很有效的深入理解语篇的方法,并为提高教学质量提供了很多启示。     

失业者再就业行为差异分析

笔者通过对东北老工业城市--长春市失业人员进行实地调查,运用均值分析、因子分析等方法,对失业者再就业行为的差异进行辨别,发现对有再就业意愿的失业者而言,搜寻工作的思想观念与方式、失业期间的活动能力、失业者的心态、当地公共就业服务质量都是导致失业者再就业行为产生差异的主要因素.由此笔者分析了影响失业者再就业行为的内在机制,探讨激励失业者积极再就业的措施,以期为完善我国公共就业服务体系提供政策建议.     

《史记》“互见法”再论

<史记>叙事首创"互见法",取得了很高的艺术成就.然而,今人在嘉许<史记>"互见法"首创价值的时候,对部分互见文字的真伪要谨慎,还应看到<史记>"互见法"体系并不完备,<史记>"互见法"的运用还不很自觉,特别是"互见法"对于今人还原<史记>"一家之言"的哲学真相有很大的干扰.     

系统功能语篇分析实证研究——以主位结构为例

运用Halliday系统功能语法的观点和方法,主要探讨了语篇功能赖以实现的主位系统,分析主位结构和主位推进程序在实现语篇的衔接和连贯中的作用、所具有的文体功能以及主位的选择和使用表达说话者的不同目的的关系。     

A qualitative comparative analysis of strategies for an ageing society, with special reference to pension and employment policies

The primary purpose of this study is to typify the respondent strategies of the OECD countries based on the interconnected structure of income and employment guarantees. More specifically, this article seeks to typify welfare policies into four types (welfare-to-work, welfare emphasis, labour emphasis, market emphasis) based on the leniency of the pension system and active state intervention in employment security. With the resultant four types, this article then places them as the dependent variable while incorporating per capita GDP, aged dependency ratio, pension maturity level, union density, constitutional structure index and degree of decommodification as causal variables. Through this process, this article aims to derive the decisive variable for each type through qualitative comparative analysis.     

指数分析中多种方法的结合运用

指数分析法在经济分析的各个领域里已得到广泛的应用。但只用单一方法分析问题往往不够全面、深入。本文以工业劳动生产率的分析为例,从三个方面,多角度、多层次、比较系统地阐述了指数分析中独具特色的分析手法。     

Model Diagnostics for Remote Access Regression Servers

To protect public-use microdata, one approach is not to allow users access to the microdata. Instead, users submit analyses to a remote computer that reports back basic output from the fitted model, such as coefficients and standard errors. To be most useful, this remote server also should provide some way for users to check the fit of their models, without disclosing actual data values. This paper discusses regression diagnostics for remote servers. The proposal is to release synthetic diagnostics—i.e. simulated values of residuals and dependent and independent variables–constructed to mimic the relationships among the real-data residuals and independent variables. Using simulations, it is shown that the proposed synthetic diagnostics can reveal model inadequacies without substantial increase in the risk of disclosures. This approach also can be used to develop remote server diagnostics for generalized linear models.     

Nonresponse weighting adjustment using estimated response probability

To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability, provided that the parameters which govern this probability are estimated by maximum likelihood. The authors discuss variance estimation methods that account for the effect of using the estimated response probability; they compare their performances in a small simulation study. They also discuss extensions to the regression estimator.     

Identifying regular blocks in valued networks: A heuristic applied to the St. Marks carbon flow data,and international trade in cereal products

While the concept of regular equivalence is equally applicable to dichotomous as well as valued networks, the identification of regular blocks in regular blockmodels is somewhat problematic when dealing with valued networks. Applying the standard procedure for identifying ties in such blockmodels, a procedure perhaps most suited for dichotomous networks, does tend to generate block images and reduced graphs that differ from intuitive notions of such structures.     

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.