基于因果关系的教育研究方法思考

探索、检验因果关系是教育科学研究的重要目标之一,相关分析、回归分析、路径分析等常用统计方法存在许多不足。结构方程模型是针对这些不足提出来的,从统计思路上,它具有优点,但还不够完善,应引起我国教育学界的注意。     

植物学实验课教学改革的初步探讨

在植物学实验教学中,通过教学改革,将植物实验单独设课、单独考核,调整实验项目,采用参与式教学方法等措 施,不仅大大地提高了植物学课程的教学质量,而且还提高学生的实验技术能力。有关改革的思路和措施可供其他实 验课参考。     

知识的价值决定——一种基于理论的探讨

劳动价值理论是经济学的基本理论。经济学价值论的使命是说明商品交换价值的决定和运动规律。新经济时代正在到来,人类生产方式也正在发生广泛而深刻的变化,价值决定理论也将随着现实经济的发展而发展。在知识经济时代,商品同样有一个客观的交换基础——劳动时间,但所有商品的价值已不完全由社会必要劳动时间确定,特别是知识产品的价值量是由个别劳动时间确定的。     

化学新课程改革与微型化学实验

新一轮基础教育改革中，化学新课程改革在理念和内容上都强调学习方式的转变，即倡导探究性学习．探究性学习的实质，是学生主动参与教学过程，积极从事各种探究活动，亲自发现科学概念和原理，掌握探究技能．事实表明微型化学实验是实现探究性学习的有效手段．     

新型蓄光性长余辉荧光陶瓷的研制

研究了基础釉的成分、蓄光粉的加入量、釉层厚度和烧成温度制度等因素对蓄光陶瓷发光性能的影响以及各种制品最佳工艺技术路线的确定.     

我院实验师资队伍建设之我见

本文论述了实验教学的地位与作用 ,对我院的实验室现状进行了分析 ,并对我院实验师资队伍的建设提出了建议。     

甲骨文时间词研究

本文首先阐述了独立研究时间词的意义,然后确立了判定甲骨文时间词的标准,对各家的观点进行了一番梳理,最后得出甲骨文时间词共有109个。     

试论完善我国散居少数民族立法

少数民族权益的法律保障始终是我国法治进程中的一件大事,而散居少数民族立法工作又是我国整个民族法治建设的重要组成部分。本文主要通过分析完善我国散居少数民族立法的意义,指出我国散居少数民族立法的基本情况以及存在的问题,探求完善散居少数民族立法的方法。     

Uncertainty Analysis for Computer Model Projections of Hurricane Losses

Projecting losses associated with hurricanes is a complex and difficult undertaking that is wrought with uncertainties. Hurricane Charley, which struck southwest Florida on August 13, 2004, illustrates the uncertainty of forecasting damages from these storms. Due to shifts in the track and the rapid intensification of the storm, real-time estimates grew from 2 to 3 billion dollars in losses late on August 12 to a peak of 50 billion dollars for a brief time as the storm appeared to be headed for the Tampa Bay area. The storm hit the resort areas of Charlotte Harbor near Punta Gorda and then went on to Orlando in the central part of the state, with early poststorm estimates converging on a damage estimate in the 28 to 31 billion dollars range. Comparable damage to central Florida had not been seen since Hurricane Donna in 1960. The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) has recognized the role of computer models in projecting losses from hurricanes. The FCHLPM established a professional team to perform onsite (confidential) audits of computer models developed by several different companies in the United States that seek to have their models approved for use in insurance rate filings in Florida. The team's members represent the fields of actuarial science, computer science, meteorology, statistics, and wind and structural engineering. An important part of the auditing process requires uncertainty and sensitivity analyses to be performed with the applicant's proprietary model. To influence future such analyses, an uncertainty and sensitivity analysis has been completed for loss projections arising from use of a Holland B parameter hurricane wind field model. Uncertainty analysis quantifies the expected percentage reduction in the uncertainty of wind speed and loss that is attributable to each of the input variables.     

Assessing accuracy of a continuous screening test in the presence of verification bias

Summary.  In studies to assess the accuracy of a screening test, often definitive disease assessment is too invasive or expensive to be ascertained on all the study subjects. Although it may be more ethical or cost effective to ascertain the true disease status with a higher rate in study subjects where the screening test or additional information is suggestive of disease, estimates of accuracy can be biased in a study with such a design. This bias is known as verification bias. Verification bias correction methods that accommodate screening tests with binary or ordinal responses have been developed; however, no verification bias correction methods exist for tests with continuous results. We propose and compare imputation and reweighting bias-corrected estimators of true and false positive rates, receiver operating characteristic curves and area under the receiver operating characteristic curve for continuous tests. Distribution theory and simulation studies are used to compare the proposed estimators with respect to bias, relative efficiency and robustness to model misspecification. The bias correction estimators proposed are applied to data from a study of screening tests for neonatal hearing loss.