中国育龄妇女孩次递进比分析

通过孩次递进比计算方法的比较选择,本文运用第五次全国人口普查1%.抽样数据分别计算中国2000年育龄妇女的各年龄别孩次递进比、城乡孩次递进比、区域孩次递进比,揭示中国育龄妇女生育水平的分布状况.     

New techniques in small area population estimates by demographic characteristics

The increasing demand for small area population estimates calls for both innovative ways of using existing data and new techniques suitable for small area estimates. This paper explores the methods for population estimates by age, sex, race, and Hispanic origin at the census tract level for Multnomah County, Oregon. New techniques include employing building permits to indirectly estimate migration and examining the changes in age/sex structure using the American Community Survey (ACS). A practical method for bridging the race categories is also developed. Finally, the paper discusses some reflections on small area estimates and the potentials of using ACS to track the changes of the demographic characteristics for the sub-county level.     

多元智能理论指导下的英美概况网络教学策略

多元智能理论是一种全新的智能观,它的兴起给网络课程教学设计带来无限生机.本文从多元智能理论出发,探讨了多元智能理论指导下的英美概况网络教学的优势及教学策略.     

Toward Best Practices in Analyzing Datasets with Missing Data: Comparisons and Recommendations

Although several methods have been developed to allow for the analysis of data in the presence of missing values, no clear guide exists to help family researchers in choosing among the many options and procedures available. We delineate these options and examine the sensitivity of the findings in a regression model estimated in three random samples from the National Survey of Families and Households (n = 250–2,000). These results, combined with findings from simulation studies, are used to guide answers to a set of 10 common questions asked by researchers when selecting a missing data approach. Modern missing data techniques were found to perform better than traditional ones, but differences between the types of modern approaches had minor effects on the estimates and substantive conclusions. Our findings suggest that the researcher has considerable flexibility in selecting among modern options for handling missing data.     

社会调查中的定性研究方法浅析

定性研究作为社会调查的方法之一,近30年来在国外社会科学研究领域得到了广泛的运用。本文介绍了定性研究方法的产生及概念界定,从定性研究与定量研究的对比中阐释了定性研究的不同特点,分析了定性研究的过程及收集材料的方法,最后展示了定性研究方法发展的最新进展。     

社会调查方法教学改革与实践模式探讨

根据社会调查方法是一门理论与实践并重课程的性质和教学要求,在教学实践的基础上提出链式教学与实践模式,通过方案讨论、实地问卷调查、机房数据分析和最终实践总结将教与学有机联结起来,形成教与学的多维互动,改进并完善了教与学的效果。同时注重改革考核方法,在理论、实践和考勤三方面加强考核。     

A Bayesian predictive inference for small area means incorporating covariates and sampling weights

The main goal in small area estimation is to use models to ‘borrow strength’ from the ensemble because the direct estimates of small area parameters are generally unreliable. However, model-based estimates from the small areas do not usually match the value of the single estimate for the large area. Benchmarking is done by applying a constraint, internally or externally, to ensure that the ‘total’ of the small areas matches the ‘grand total’. This is particularly useful because it is difficult to check model assumptions owing to the sparseness of the data. We use a Bayesian nested error regression model, which incorporates unit-level covariates and sampling weights, to develop a method to internally benchmark the finite population means of small areas. We use two examples to illustrate our method. We also perform a simulation study to further assess the properties of our method.     

我国经常性抽样调查体系改革研究

为了提高我国政府统计数据质量,本文从产生统计数据的最大源头,即现行的经常性抽样调查体系进行改革研究,引入国际上前沿的连续性抽样调查理论,在调查制度与方法等方面提出一系列改革措施,并给出具体的实施步骤,最终构建一套新型的经常性抽样调查体系。通过这套体系能够在节省调查费用的情况下,及时、准确地产生连续的时间序列统计数据,从而更好地发挥经常性抽样调查的主体作用。在未来实际应用与改革过程中出现的新情况、新问题,均可在该体系的整体框架下予以解决。     

《九章算术》中的统计学思想探究

《九章算术》是中国历史上最著名的一部数学经典,该书以应用问题求解的形式为成书体例,而这些问题基本都与社会经济有关,因此书中蕴涵了丰富的统计学思想。本文从统计范围和统计思想的角度对书中的统计知识进行了分析,探讨了书中诸如统计分组、抽样推断、线性回归分析及比例关系等统计理论,并据此对当时中国古代统计思想的发展状况进行了研究。     

经济、管理类专业《统计学》课程建设的几个基本问题

内容提要：本人认为,目前在我国经济、管理类专业《统计学》课程建设中尚有一些基本理论问题需要讨论清楚。例如,怎样理解“统计学是一门数据科学”这一命题,以及课程改革后的《统计学》与改革前的《社会经济统计学原理》究竟有什么本质上的区别;《统计学》课程中用于对重复随机试验进行统计推断的样本和抽样调查中的样本有什么区别和联系;应用社会经济调查数据进行统计分析较之应用实验数据进行统计分析有什么特殊性的问题需要解决,等等。文章找出了这些问题的若干误区并阐述了作者的个人见解。