在职统计教育的成功之路──简析统计专业自学考试

在职统计教育的成功之路──简析统计专业自学考试江苏省自学考试办公室胡建平一、开展统计专业自学考试是大力发展在职统计教育的成功之路高等教育自学考试，是对自学者进行以学历考试为主的高等教育国家考试，是个人自学、社会助学和国家考试相结合的高等教育形式。它既...     

新型农村社会养老保险参保行为影响因素分析

文章立足个人、家庭和制度三个层面,通过对湖北省实地调研数据的实证分析得出:农村居民的自评健康状况、对老年生活的担心程度、经济状况及对制度的预期等是其参保与否的重要影响因素.     

上海市民公共交通安全感调查

2011年上海市民公共交通安全感调查显示，上海市民高度关注公共交通安全，对目前市内公交生命安全保障的安全感为77％，男性安全感高于女性，但上班族的安全感略低于老少群体。市民对国内长途客运的安全感为58．7％，高学历者不安全感相对更高。对于不安全因素，市民对地铁和公交车最担心的是超载，对出租车最担心的是黑车，对于乘飞机最担心受自然条件影响，坐动车（高铁）最担心信号设备故障，坐长途客车则最担心司机疲劳驾驶。     

高等教育自学考试社会助学应注意的几个问题

高等教育自学考试社会助学应注意的几个问题黑龙江省统计局统计教育中心李德林刘霁虹王莉以个人自学为基础，社会助学为条件，国家考试为主导的高等教育自学考试，是社会主义初级阶段培养各类专业人才的一种有效途径。社会助学是指事业组织和社会团体等单位，按照国家教育...     

高校青年教师如何应对新课焦虑

本文从分析高校青年教师的心理特点入手,以新课的类型和特点,解析新课焦虑的产生原因以及对教学效果的影响,并对高校青年教师如何应对新课焦虑提出建议。     

教育与主观社会地位——基于地位寻求理论的实证分析

教育不仅能提升个人社会地位,而且对家庭的社会地位亦有不可小觑的作用。因此,近些年中国家庭子女教育支出的攀比趋势越发明显。采用中国家庭追踪调查数据2010、2012、2014年数据,对面板有序Probit模型进行估计,结果表明:个人受教育年限对个人主观社会地位具有正向显著影响;参照组平均教育年限对个人主观社会地位具有负向显著影响;个人教育年限的交互项对个人主观社会地位具有正向作用,表明教育水平越高,越不易受到社会比较的负面影响。研究证实了教育的位置性特征对主观社会地位具有显著影响。     

用合理方法 提高自学质量

自学考试是由个人自学、社会助学、国家考试三个要素组成的独立完整的向社会开放的一个高等教育系统。个人自学是基础,国家考试是核心、主导,社会助学是桥梁和条件。自学考试丰富了教育的内涵,为所有愿意接受学历教育、继续教育和终身教育的人提供了一个自由飞翔的天空,满足了迅速发展的经济社会对人才、知识的需要。但自学考试对大多数考生来说是一条艰难的路程,在自学考试活动中如何学习是摆在每个考生面前的难题。下面,就如何自学,采取什么方法来自学谈一下自己的看法。一、要正确处理好有无兴趣的关系,注意培养自己的学习兴趣自…     

我国公务员薪酬水平的影响因素分析

文章使用我国1996～2009年的相关数据,对影响我国公务员薪酬水平的经济因素,个人资本因素分别进行OLS回归方程和QR方程的检验分析,检验结果表明,外部市场经济变化和个人人力资本对我国公务员薪酬水平的制定影响日益显著,并对科学合理地制定公务员薪酬提供必要的指导意义。     

应该删去统计数据的极值——有感于青歌赛的计分规则

前几个月,中央电视台的青年歌手大赛如火如茶的进行,其去掉一个最高分,去掉一个最低分的计分方式颇令人信服,避免了个别评委因个人原因给特别高分或特别低分带来的不公正性.不知道设计此计分规则有没有咨询统计专家的意见,这种计分方式是否会带来统计上的误差.从而影响其公正性?从这几年的使用过程看,笔者的担心是多余的,没有曝光不公正的评分,没有人指责计分方式有误.从整个社会的认可,可看出此计分方式是合理的.     

我国教育的个人需求和教育的社会需求矛盾成因探析

教育需求、教育的个人需求和教育的社会需求教育需求是指社会和个人在教育市场上表现出来的对教育有支付能力的需要,即对教育的有效需求。按照教育需求主体,可将其分为教育的社会需求和教育的个人需求两大类。教育的个人需求和教育的社会需求的影响因素教育的个人需求的影响因素教育的个人需求,是出于受教育后能够给个人带来的预期收益,对未来的考虑构成了教育个人需求的诸多动因,包括对精神生活的需求,对物质生活的需求和对社会地位的追求以及家长对子女的期望等。因此,影响教育的个人需求的因素主要来自以下几个方面:教育的社会需求。社会…     

大学生消费调查分析

根据江苏科技大学402名大学生的消费抽样调查资料,分析了大学生消费的差异及原因,通过建立Logistic回归模型证实了家庭收入差别是引发学生消费差异的根本因素,同时针对目前大学生消费的一些不合理现象,提出了引导大学生消费需加强荣辱观教育和理财知识教育的建议。     

大学生择业观念调查与思考

面对日益激烈的市场竞争和就业压力,大学生们的择业心态如何,他们怎样看待目前和今后的就业形势和环境,诸多方面是我们做好大学教育和社会就业指导相关工作应该掌握的重要信息。我们的问卷调查结论可以为学校和社会有关部门提供有益的参考。     

Teaching Statistical Consulting Before Statistical Methodology

This paper outlines and discusses the advantages of an ‘Introduction to Statistical Consulting’ course (ISC) that exposes students to statistical consulting early in their studies. The course is intended for students before, or while, they study their units in statistical techniques, and assumes only a first‐year introductory statistics unit. The course exposes undergraduate students to the application of statistics and helps develop statistical thinking. An important goal is to introduce students to work as a statistician early in their studies because this motivates some students to study statistics further and provides a framework to motivate the learning of further statistical techniques. The ISC has proved popular with students, and this paper discusses the reasons for this popularity and the benefits of an ISC to statistical education and the statistics profession.     

Advanced Placement Statistics: Expanding the Scope of Statistics Education

A list of consequential developments in the field of statistics for the past quarter-century must include the creation and implementation of the Advanced Placement (AP) program in Statistics. This program has introduced millions of high school students to our discipline over the past 18 years, contributing to the large increase in the number of undergraduate students pursuing statistics as their major in college. ASA members and leaders have played a substantial role in shaping this program and furthering its success.     

Dropping out of university: A statistical analysis of the probability of withdrawal for UK university students

From individual level data for an entire cohort of undergraduate students in the 'old' universities in the UK, we use a binomial probit model to estimate the probability that an individual will 'drop out' of university before the completion of their degree course. We examine the cohort of students enrolling full time for a 3- or 4-year degree in the academic year 1989–1990. We find evidence to support both the hypothesis that the completion of courses by students is influenced by the extent of prior academic preparedness and the hypothesis that social integration at university is important. We also find an influence of unemployment in the county of prior residence, especially for poorer male students. Finally, we draw conclusions regarding the public policy of constructing university performance indicators in this area.     

Bayes and MCMC for Undergraduates

Students of statistics should be taught the ideas and methods that are widely used in practice and that will help them understand the world of statistics. Today, this means teaching them about Bayesian methods. In this article, I present ideas on teaching an undergraduate Bayesian course that uses Markov chain Monte Carlo and that can be a second course or, for strong students, a first course in statistics.     

Bill Cochran: His Contributions to Medicine and Public Health and Some Personal Recollections

There is a tremendous need in our technological society to train statisticians for all sectors of education, government, and industry. Because statistical training has largely been restricted to graduate schools, the profession is losing many good students to other fields of study. Members of the statistics community are encouraged to reach out to high-school students and undergraduate students to increase the awareness of statistics as a scientific field of study and as a professional career. The ASA Council of Chapters has recently completed a slide presentation entitled “Statistical Science: The Profession,” which was professionally developed to aid this endeavor. In addition, high-school teachers, high-school counselors, and professors of mathematics and science education are identified as important audiences for hearing this message and for broadening general public awareness of what our profession has to offer.     

Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching an Undergraduate Multivariate Data Analysis Course

Modern students encounter large, messy datasets long before setting foot in our classrooms. Many of these students need to develop skills in exploratory data analysis and multivariate analysis techniques for their jobs after college, but such topics are not covered in traditional introductory statistics courses. This case study describes my experience in designing and teaching an undergraduate course on multivariate data analysis with minimal prerequisites, using real data, active learning, and other interactive activities to help students tackle the material. Multivariate topics covered include clustering and classification (among others) for exploratory data analysis and an introduction to algorithmic modeling. Supplementary materials for this article are available online.     

The Perpetual Student: Modeling Duration of Undergraduate Studies Based on Lifetime-Type Educational Data

It is important to educational planners to estimate the likelihood and time-scale of graduation of students enrolled on a curriculum. The particular case we are concerned with, emerges when studies are not completed in the prescribed interval of time. Under these circumstances we use a framework of survival analysis applied to lifetime-type educational data to examine the distribution of duration of undergraduate studies for 10,313 students, enrolled in a Greek university during ten consecutive academic years. Non-parametric and parametric survival models have been developed for handling this distribution as well as a modified procedure for testing goodness-of-fit of the models. Data censoring was taken into account in the statistical analysis and the problems of thresholding of graduation and of perpetual students are also addressed. We found that the proposed parametric model adequately describes the empirical distribution provided by non-parametric estimation. We also found significant difference between duration of studies of men and women students. The proposed methodology could be useful to analyse data from any other type and level of education or general lifetime data with similar characteristics.     

Computer-Aided Teaching of Probabilistic Modeling for Biological Phenomena

College students majoring in science and engineering need to learn how to model key features of the driving mechanisms of natural, scientific, and engineering phenomena. A rigorous treatment of these topics requires a thorough understanding of advanced mathematical concepts and probability theory. However, we believe that carefully designed computer simulation software offers a means of conveying fundamental ideas of probabilistic modeling, while minimizing the need for underlying mathematical analyses. Based on this premise we have initiated the development of a software system that will be incorporated into a novel, introductory course in probabilistic modeling for undergraduate students in the biological and environmental sciences. In this paper we describe the preliminary version of our system that implements simulation, real-time animation, and calculations of dynamic statistical summaries for several prototypical stochastic models for a variety of biological systems.