高职学生网上评教数据的修正与优化处理研究

针对高职学生网上评教存在的问题,采用评教验证机制设置不合理评教的限制。对学生评教数据先剔除异常值,再分别对不同班级、不同课程和不同院系之间的学生评教数据进行修正与优化处理,得出最终的修正分值,降低了因班级、课程和院系的不同而导致的评教数据的差异性,使学生的网上评教能更准确有效的反应出教师的教学水平。     

审计定价管制与交易剩余——2010年审计定价管制失效的自然实验

在经济下行压力加大、资本市场进一步开放的新形势下,厘清审计市场交易——监管机制,完善审计服务市场尤为必要。借由2010 年审计定价管制政策失效的自然实验,本文通过嵌入双边随机边界模型,得到审计双方的定价交易剩余指标,运用双重差分模型解析价格管制与交易定价的作用机制。研究发现,定价管制失效的原因不在于规制俘获,而在于价格管制与当前的市场效率不匹配。下限管制尽管能够提高审计师剩余,但同时会放大交易定价风险,增加剩余的错配,扰乱交易秩序。上限管制则进一步固化市场的低价竞争。进一步研究发现审计师剩余与盈余质量显著相关,2014年的放开定价管制政策提高了审计师剩余。研究厘清了审计市场交易机制,有利于未来研究审计交易机制的微观影响及与盈余质量的关联,为在新时代把握审计市场交易——监管规律、培育自发良性交易的审计市场提供有益借鉴。     

The African Evaluation Guidelines: 2002. A checklist to assist in planning evaluations, negotiating clear contracts, reviewing progress and ensuring adequate completion of an evaluation

A review of the US ‘program evaluation standards’ (PES), undertaken in a series of workshops and meetings of networks of evaluators in Africa, resulted in modifications to those standards. The result was presented to a plenary session of the Inaugural Conference of the African Evaluation Association in September 1999, attended by over 300 evaluators from 35 countries. The AfrEA Conference decided that a systematic effort should be made to produce a list of African evaluation guidelines, similar to the PES, and that this checklist should be reviewed by national evaluation associations and networks in Africa and field tested in several countries. Ten national and regional networks and associations suggested modifications to the text and endorsed the final version of the guidelines.     

巴金：在历史和文化之间艰难地行进

本文从人类学理论的基础上 ,从中国近现代文化变迁的广大背景中 ,剖析了巴金与文化关系中存在的复杂而深刻的矛盾。本文认为 ,这一矛盾的核心在于巴金对近现代文化的追求和他对传统文化某些方面的体认之间的冲突。他试图解决中国现代的文化问题 ,但这一努力又受他自身文化禀承的制约 ,这就使他在中国近现代文化进程中显示出独特的文化品格。     

关于新时期高校中层干部素质要求的思考

高等教育事业的快速发展,对高校中层干部提出了较高的素质要求。按照“三个代表” 的要求,以德为本,理念先行,协调为上,守土有责,应当是新时期高校中层干部的基本素质要求。     

知识经济与就业革命

知识经济的到来 ,对传统的就业方式提出了重大挑战 ,引起了就业领域中就业结构、就业机会、工作制等多方面的转变 ,一场有关就业的文明革命悄然兴起。中国应通过提高劳动者素质 ,转变劳动者就业观念 ,调整国家就业政策等多方面措施 ,改善就业环境 ,刺激就业增长 ,以缓解目前所面临的巨大就业压力 ,迎接知识经济的挑战     

西方服务营销研究的世纪回眸

自从营销学作为一门独立的学科以来 ,实体产品的营销一直作为主流学派主宰着理论界和实务界。但在 2 0世纪 80年代 ,服务营销走出了产品营销的窠臼 ,为营销学的发展开拓了新视野。本文借助UMI、EBSCD、ELSEVIER公司的电子文献库 ,对近 5 0年的服务营销研究进行了回顾 ,依各时期研究内容的不同 ,将这五十年的历程划分为四个阶段 ,并对各阶段研究的主要内容和特点作了简要评述     

浅谈新世纪高校档案人员素质

新世纪 ,我国高等教育改革与发展方兴未艾 ,如何使档案工作适应高校管理体制改革的需要 ,人的素质是关键因素 ,因此只有不断改进管理手段和方法 ,提高档案管理人员的素质 ,才能充分发挥档案的应有作用 ,为我国的高等教育事业贡献力量。     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.