提高"试卷分析"的科学性

考试具有评定学生成绩,检查教师教学效果的双重作用.结合教学实践,运用统计学原理,提出了进行试卷分析的有效方法,进而达到科学评价考试质量的目的.     

An affine‐invariant multivariate sign test for cluster correlated data

The author presents a multivariate location model for cluster correlated observations. He proposes an affine‐invariant multivariate sign statistic for testing the value of the location parameter. His statistic is an adaptation of that proposed by Randles (2000). The author shows, under very mild conditions, that his test statistic is asymptotically distributed as a chi‐squared random variable under the null hypothesis. In particular, the test can be used for skewed populations. In the context of a general multivariate normal model, the author obtains values of his test's Pitman asymptotic efficiency relative to another test based on the overall average. He shows that there is an improvement in the relative performance of the new test as soon as intra‐cluster correlation is present Even in the univariate case, the new test can be very competitive for Gaussian data. Furthermore, the statistic is easy to compute, even for large dimensional data. The author shows through simulations that his test performs well compared to the average‐based test. He illustrates its use with real data.     

A partial score test for difference among heterogeneous populations

In event time data analysis, comparisons between distributions are made by the logrank test. When the data appear to contain crossing hazards phenomena, nonparametric weighted logrank statistics are usually suggested to accommodate different-weighted functions to increase the power. However, the gain in power by imposing different weights has its limits since differences before and after the crossing point may balance each other out. In contrast to the weighted logrank tests, we propose a score-type statistic based on the semiparametric-, heteroscedastic-hazards regression model of Hsieh [2001. On heteroscedastic hazards regression models: theory and application. J. Roy. Statist. Soc. Ser. B 63, 63–79.], by which the nonproportionality is explicitly modeled. Our score test is based on estimating functions derived from partial likelihood under the heteroscedastic model considered herein. Simulation results show the benefit of modeling the heteroscedasticity and power of the proposed test to two classes of weighted logrank tests (including Fleming–Harrington's test and Moreau's locally most powerful test), a Renyi-type test, and the Breslow's test for acceleration. We also demonstrate the application of this test by analyzing actual data in clinical trials.     

PSC朗读评分中的语音缺陷问题

在2002年12月《普通话水平测试大纲》修订工作征求意见稿中,我们发现它增加了对短文朗读中语音缺陷扣分的规定。短文朗读中的"语音缺陷"在《普通话水平测试大纲》现行评分标准中一直处于被忽视的地位。笔者同意征求意见稿的观点,对短文朗读中存在的"语音缺陷"应该扣分。短文朗读中存在的"语音缺陷"不能归入语音错误,也不能把它们划入"方言语调"的范围,应该把它们并入"方言色彩"的测试中。为此,笔者提出了短文朗读里语音缺陷的评分办法。     

论网络环境下的电子阅览室建设

网络环境下 ,高校图书馆的信息服务模式发生了新的变化 ,电子阅览室的作用日益突显。因此 ,图书馆的建设应重视对电子阅览室的认识 ,加强电子览阅室的信息服务 ,以推动图书馆事业的发展     

大学英语阅读障碍诊断及治疗之探讨

由于阅读过程内在的复杂性，阅读是较难掌握的一项语言技能。本文从阅读障碍的诊断和治疗两方面对中国大学英语阅读教学进行探讨，抛砖引玉，以期有更多的同仁加入这一话题的讨论。     

大学英语阅读教学探析

本文从大学英语阅读学习的重要性着手,探讨英语阅读过程中存在的问题及解决的办法,探寻大学英语阅读教学行之有效的方法。     

A STUDY OF STUDENTS＇ANXIETYON THE LISTENING PERFORMANCE IN CET BAND IV

This paper mainly focuses on investigating to what extent and how listening comprehension was affected by students‘anxiety, which was considered to be one of the factors to which EFL/ESL teachers must pay attention. The author of the thesis used a questionnaire on trait anxiety and one on state anxiety to look into students‘anxiety levels exhibited in the listening part of the College English Band IV Test. 52 subjects from the Inner Mongolia (Polytechn:c) University of Technology were involved in the investigation. Data collected from the investigation were statistically analyzed using SPSS 10. 0. The research findings indicate that anxiety is a factor to affect the students’ listening performances, that means the reduction of trait anxiety levels may facilitate listening performances of the students. Visualization is a promising technique for treatment.     

An empirical likelihood goodness-of-fit test for time series

Summary. Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric alternatives are based on residuals arising from a fitted model. When a parametric regression model is compared with a nonparametric model, goodness-of-fit testing can be naturally approached by evaluating the likelihood of the parametric model within a nonparametric framework. We employ the empirical likelihood for an α -mixing process to formulate a test statistic that measures the goodness of fit of a parametric regression model. The technique is based on a comparison with kernel smoothing estimators. The empirical likelihood formulation of the test has two attractive features. One is its automatic consideration of the variation that is associated with the nonparametric fit due to empirical likelihood's ability to Studentize internally. The other is that the asymptotic distribution of the test statistic is free of unknown parameters, avoiding plug-in estimation. We apply the test to a discretized diffusion model which has recently been considered in financial market analysis.     

A circular-cone test for testing homogeneity against a simple tree order

Several methods exist for the problem of testing the equality of several treatments against the one-sided alternative that the treatments are better than the control. These methods include Dunnett's test, Bartholomew's likelihood-ratio test, the Abelson-Tukey-Schaafsma-Smid optimal-contrast test, and the multiple-contrast test of Mukerjee, Robertson, and Wright. A new test is proposed based on an approximation of the likelihood-ratio test of Bartholomew. This test involves using a circular cone in place of the alternative-hypothesis cone. The circular-cone test has excellent power characteristics similar to those of Bartholomew's test. Moreover, it has the advantages of being simpler to compute and may be used with unequal sample sizes.