基于平衡单水平轮换的连续性抽样估计方法研究

内容提要：针对现存的各种单水平轮换模式和估计方法,本文提出一套统一的平衡单水平轮换模式。在此轮换模式下,引入两类相关关系,运用线性无偏估计方法,并通过使不同类型估计量方差的加权总和最小的方法确定最优系数,从而得到最优线性无偏估计量,不仅能够减少甚至消除估计量偏差的影响,还能使得连续性调查的整体抽样误差最小,适合估计各种类型的估计量。     

对《公安机关处置群体性治安事件规定》的几点质疑

韩非是中国先秦时期法家思想的集大成者,其创立的以法为本,“法、势、术”相结合的法治理论体系,为秦统一六国提供了理论准备。对后世影响深远。借鉴吸收韩非法治思想的合理成分。对于实现依法治国具有现实的指导意义。     

研究性学习对职业社工专业能力培养的作用初探——以“老年研究小组”为例

研究性学习是一种重实践能力和创新能力培养,具开放性、探究式教学互动模式,对研究性大学及创新人才培养有重要意义。基于研究性学习与社工教育实务特质的高度契合性,本文以“老年社工”课为平台,以“老年研究小组”为切人点,以研究性学习为途径,总结了为期五年“以问题为导向,教、研、实务三结合”的教改对职业社工素质培养的效果,并就本土社工教育的学科发展提出了建议。     

关于产品缺陷及其法律规定的思考

针对当前社会上频发的群体性事件,对公安部制定的《公安机关处置群体性治安事件规定》中的几点错误与不妥进行了深入的评析。重点探讨了群体性事件的表述、现场指挥的人选、现场管制与交通管制的关系等内容。     

Organizational identification as a mediator for the effects of psychological contract breaches on organizational citizenship behavior: Insights from the perspective of ethnic minority employees

This study examines the contribution of the psychological contract (PC) framework to the understanding of ethnic minority employees’ employment relationships. First, it tests the generalizability of PC types (transactional, relational, and balanced) observed in the general population to ethnic minority employees. Then, to further address the unique needs and motivators of minority employees, this study considers diversity-related PCs. It adopts social exchange theory to explain how transactional, relational, balanced, and diversity-related PC breaches predict organizational citizenship behavior (OCB). Moreover, it draws insights from social identity theory and examines the mediating role of organizational identification in the relationship between types of PC breach and OCB. Data from 361 Turkish employees working as ethnic minorities in Belgium indicate that relational and diversity-related PC breaches predict OCB partially via organizational identification while transactional and balanced PC breaches directly affect OCB.     

大数据视域下义务教育师资均衡配置的创新逻辑

义务教育师资均衡配置是义务教育均衡发展的重要组成部分。由于层级式配置过程限制多、支撑决策的数据体系科学性部分缺失等原因，目前的师资配置存在配置政策难以精准定位、行政管理措施难以产生实效、师资供求分析难以科学化进行、精准决策的系统化数据缺乏、发展趋势的预测能力较弱等问题。究其根本，是因为新时代下的师资配置数据发生了量变与质变，即师资供求数据变成了师资供求大数据，现有配置中用来支持决策的数据体系不完善以及决策者思维有局限使得现有配置出现了困境。为突破现有困境，促进义务教育师资均衡配置，以义务教育师资均衡配置的新内涵为研究方向，以大数据研究思维和技术支持为研究基础，厘清了义务教育师资均衡配置体系中的大数据源及其数据分布脉络，构建了大数据视域下义务教育师资均衡配置的创新逻辑体系。     

完善业绩评价指标体系提升企业核心竞争力

在"新经济"时代,企业为了在激烈的市场竞争中求得生存与发展,其经营管理活动必须立足于战略高度,形成并保持核心竞争力,因而对企业的经营和目标的实现起导向作用的经营业绩评价指标体系也必须从战略层面进行构建.该文以企业的核心竞争力作为研究的起点,认为传统的财务业绩评价指标体系已无法满足经营管理的需要,而战略平衡计分卡的出现进一步丰富和完善了经营业绩评价指标体系,文中对平衡计分卡进行了描述并提出几点改进建议.     

Analysis of short-term systematic measurement error variance for the difference of paired data without repetition of measurement

The variance of short-term systematic measurement errors for the difference of paired data is estimated. The difference of paired data is determined by subtracting the measurement results of two methods, which measure the same item only once without measurement repetition. The unbiased estimators for short-term systematic measurement error variances based on the one-way random effects model are not fit for practical purpose because they can be negative. The estimators, which are derived for balanced data as well as for unbalanced data, are always positive but biased. The basis of these positive estimators is the one-way random effects model. The biases, variances, and the mean squared errors of the positive estimators are derived as well as their estimators. The positive estimators are fit for practical purpose.     

E-optimal design in irregular BIBD settings

When the necessary conditions for a BIBD are satisfied, but no BIBD exists, there is no simple answer for the optimal design problem. This paper identifies the E-optimal information matrices for any such irregular BIBD setting when the number of treatments is no larger than 100. A- and D-optimal designs are typically not E-optimal. An E-optimal design for 15 treatments in 21 blocks of size 5 is found.     

Optimal partially balanced nested row-column designs

A partially balanced nested row-column design, referred to as PBNRC, is defined as an arrangement of v treatments in b p × q blocks for which, with the convention that p q, the information matrix for the estimation of treatment parameters is equal to that of the column component design which is itself a partially balanced incomplete block design. In this paper, previously known optimal incomplete block designs, and row-column and nested row-column designs are utilized to develop some methods of constructing optimal PBNRC designs. In particular, it is shown that an optimal group divisible PBNRC design for v = mn kn treatments in p × q blocks can be constructed whenever a balanced incomplete block design for m treatments in blocks of size k each and a group divisible PBNRC design for kn treatments in p × q blocks exist. A simple sufficient condition is given under which a group divisible PBNRC is Ψ_f-better for all f> 0 than the corresponding balanced nested row-column designs having binary blocks. It is also shown that the construction techniques developed particularly for group divisible designs can be generalized to obtain PBNRC designs based on rectangular association schemes.