Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

The multi-cycle organization of modern university systems stimulates the interest in studying the progression to higher level degree courses during the academic career. In particular, after the achievement of the first level qualification (Bachelor degree), students have to decide whether to continue their university studies, by enrolling in a second level (Master) programme, or to conclude their training experience. In this work we propose a binary quantile regression (BQR) approach to analyse the Bachelor-to-Master transition phenomenon with the adoption of the Bayesian inferential perspective. In addition to the traditional predictors of academic outcomes, such as the personal characteristics and the field of study, different aspects of student's performance are considered. Moreover, the role of a new contextual variable, representing the type of university regulations experienced during the academic path, is investigated. The utility of the Bayesian BQR to characterize the non-continuation decision after the first cycle studies is illustrated with an application to administrative data of Bachelor graduates at the School of Economics of Sapienza University of Rome. The method favourably compares with more conventional model specifications concerning the conditional mean of the binary response.     

A comparison of the Hosmer–Lemeshow,Pigeon–Heyse,and Tsiatis goodness-of-fit tests for binary logistic regression under two grouping methods

Algebraic relationships between Hosmer–Lemeshow (HL), Pigeon–Heyse (J²), and Tsiatis (T) goodness-of-fit statistics for binary logistic regression models with continuous covariates were investigated, and their distributional properties and performances studied using simulations. Groups were formed under deciles-of-risk (DOR) and partition-covariate-space (PCS) methods. Under DOR, HL and T followed reported null distributions, while J² did not. Under PCS, only T followed its reported null distribution, with HL and J² dependent on model covariate number and partitioning. Generally, all had similar power. Of the three, T performed best, maintaining Type-I error rates and having a distribution invariant to covariate characteristics, number, and partitioning.     

A hierarchical Bayesian model for binary data incorporating selection bias

We consider a Bayesian nonignorable model to accommodate a nonignorable selection mechanism for predicting small area proportions. Our main objective is to extend a model on selection bias in a previously published paper, coauthored by four authors, to accommodate small areas. These authors assume that the survey weights (or their reciprocals that we also call selection probabilities) are available, but there is no simple relation between the binary responses and the selection probabilities. To capture the nonignorable selection bias within each area, they assume that the binary responses and the selection probabilities are correlated. To accommodate the small areas, we extend their model to a hierarchical Bayesian nonignorable model and we use Markov chain Monte Carlo methods to fit it. We illustrate our methodology using a numerical example obtained from data on activity limitation in the U.S. National Health Interview Survey. We also perform a simulation study to assess the effect of the correlation between the binary responses and the selection probabilities.     

残疾人就业辅导员的核心工作能力研究

就业辅导员的核心工作能力是其在支持性就业服务中履行工作职责、胜任工作岗位、实现工作目标所应具备的主要能力,是专业知识、技能和态度的集中体现,也是帮助残疾人成功实现就业的关键因素,具有综合性、规范性及可操作性的特征。本文采用工作职责分析法和归纳法等方法,对就业辅导员应具备工作能力的主要内容进行了分析,认为其核心工作能力包括评估能力、分析能力、沟通能力、实践能力和应变能力。针对我国就业辅导员工作能力培养的困境,作者建议从设计职前培养方案、构建在职培训体系、完善工作考核制度及规划职业发展路径四方面着手加强培养,以期为我国就业辅导员队伍的专业化建设提供参考。     

试论数字资源著录的元数据解决方案

数字信息时代的到来使正在发展中的数字图书馆面临如何高效组织、管理数字化信息资源,同时为广大用户提供高水平服务的重大挑战.文章重点探讨了采用DC 元数据作为标准著录元数据集、RDF/XML作为标准编码技术的数字信息著录方案,以期促进我国早日实现数字信息著录、管理技术的标准化和统一化.     

共同进化时代的企业核心竞争力策略

企业经营已经进入共同进化时代,构建商业生态系统是这个时代的必然要求。本文通过分析商业生态系统的特点,提出领导良性发展的商业生态系统是企业构建核心竞争力的一个选择。文章最后还指出了领导一个长寿商业生态系统的秘密是领导者必须能持续不断地为系统成员们创造比别人更多的价值。     

"核心期刊":一个外来"文"种入侵、异化为害的典型事例——《"核心期刊"与期刊评价》读后

“核心期刊”的理论与实践均是外来“文”种入侵中国后发展、异化的产物。它所依据的“载文量”与“被引率”两大量化指标只不过具有文献计量学上的意义,并不反映期刊和期刊上所载文献(论文)的质量与水平,充其量只反映了某一专业、某一专题文献较为集中地分布于一些期刊上而已。这两项指标甚至连文献(论文)的好、坏、对、错都未能区分,所以它根本不能作为评刊、评文、评学、评人的质量或水平标准。     

城市居民社区政治参与影响因素的实证分析

以中国综合社会调查（CGSS2005）的数据和问卷为基础,运用Binary Logistic回归模型对我国城市居民社区政治参与的影响因素进行了实证分析,发现：年龄、社区类型、是否党员、单位性质和阶层认同因素对居民社区居委会换届选举的投票行为影响显著;而收入、住房产权因素对社区居民投票行为影响不显著,并分别对其进行了理论解释与分析.最后对将来我国城市社区建设和基层治理问题提出了政策建议.     

基于核心竞争力的企业经营战略集成

企业经营战略管理应当在核心竞争力理论指导下进行 ,并且企业在参与市场竞争中应通过不断的组织学习具备对不同战略加以融和与集成的能力。基于核心竞争力将虚拟经营战略与多元化经营战略加以集成形成的多元虚拟经营战略 ,对于企业的发展是十分重要的。     

论人才培养模式可以成为高校核心竞争力

通过对高校职能及教师能力发展的历史考察从理论角度分析了人才培养模式可以成为高校核心竞争力,并从美国高校竞争力排名指标中的相关结果对人才培养模式可以成为高校核心竞争力进行了实证分析。