地方院校人才培养中若干问题的调查研究

高等教育的国际化和大众化,既给地方高校带来了机遇,也带来了挑战,其中最突出的就是人才培养问题。如何培养和造就具有创新精神和创新能力的高素质人才,是地方院校亟待解决的重要课题。以我校调查问卷结果为切入点,力求理清目前地方院校人才培养的困境,进而提出合理的对策与建议。     

泰罗科学管理中的人本管理分析

泰罗科学管理理论产生已有100多年的历史,人们对该理论的评价也褒贬不一,很多人批评其建立在经济人假设的基础之上,“胡萝卜加大棒”式的管理严重摧残了人性;其实泰罗科学管理理论中的管理职能化思想和人力资源开发思想,就闪烁着人本管理的理性,也给后来的管理以积极的启示,依然具有重要的现实意义.     

美中西部大开发的异同

美中西部开发有很多不同之处 ,表现在内涵与性质、地理与历史条件、经济发展状况与经济背景、政治与文化传统、国际国内形势与时代背景等方面。两者的相似之处也有 ,却不是很多。     

东西相遇：中德双校园学习差异性比较分析——基于Z大学中德合作2＋3项目学生的访谈

在对Z大学中德合作2＋3项目留德学生访谈的基础上，以差异性分析为视角，从教学组织、专业学习和校园生活三个纬度，分析了项目学生对两校园学习的差异性体验，并从文化价值、教育体制、教育投入方面探究其原因，提出了强化国际合作、提升师资能力水平、加大工程实训领域投入等对策。     

区间型符号数据的因子分析及其应用

符号数据分析是一种新兴的数据挖掘技术,区间数是最常用的一种符号数据。基于误差分析理论,研究针对区间数据的因子分析方法。将区间数看作一个由中点和半径构成的有序偶,并将半径视为区间数的极限误差。对中点样本阵进行因子分析,得到因子得分的中点值。然后将半径样本阵按照误差传递公式,得到因子得分的极限误差。由因子得分的中点值和极限误差最终得到因子得分的区间值。最后以股票的市场综合表现评价问题为案例,进行了应用研究。     

Evaluating Item Discrimination Power of WHOQOL-BREF from an Item Response Model Perspectives

Quality of life (QOL) has become an important component of health. By using the methodology of psychometric theory, we examine the item properties of the WHOQOL-BRIEF. Samejima’s graded response model with natural metrics of the logistic response function was fitted. The results showed items with negative natures were less discriminating. Items written in a specific way were more suitable to assess certain subgroups. The national items showed variation in discriminatory power. Questions measuring objective and specific issues performed worse than items assessing general aspects of the QOL.     

从马克思到贝克：因“剩女”危机引发性别冲突的多维度比较分析

在社会转型与全球化语境下，“剩女”时代已经悄悄来临，性别冲突再次成为后现代社会人们热论的焦点话题。对于性别冲突问题的探究，同一国度的卡尔·马克思与乌尔里希·贝克皆有深刻的阐述。本文以“剩女”危机作为个案，阐述两位理论大师在性别冲突关注上的差异性，这对我们认识“剩女”危机有着重要的启迪。     

Incorporating quality into data envelopment analysis of nursing home performance: A case study

When using data envelopment analysis (DEA) as a benchmarking technique for nursing homes, it is essential to include measures of the quality of care. We survey applications where quality has been incorporated into DEA models and consider the concerns that arise when the results show that quality measures have been effectively ignored. Three modeling techniques are identified that address these concerns. Each of these techniques requires some input from management as to the proper emphasis to be placed on the quality aspect of performance. We report the results of a case study in which we apply these techniques to a DEA model of nursing home performance. We examine in depth not only the resulting efficiency scores, but also the benchmark sets and the weights given to the input and output measures. We find that two of the techniques are effective in insuring that DEA results discriminate between high and low quality performance.     

Multiple deletion measures and conditional influence in regression model

The joint effect of the deletion of the ith and jih cases is given by Gray and Ling (1984), they discussed the influence measures for influential subsets in linear regression analysis. The present paper is concerned with multiple sets of deletion measures in the linear regression model. In particular we are interested in the effects of the jointly and conditional influence analysis for the detection of two influential subsets.     

"Chain pooling" model selection for two-level fixed effects factorial experiments

As many as three iterated statistical model deletion procedures are considered for an experiment.Population model coeff cients were chosen to simulate a saturated 2⁴experiment having an unfavorable distribution of parameter values.Using random number studies, three model selection strategies were developed, namely, (1) a strategy to be used in anticipation of large coefficients of variation (neighborhood of 65 percent), (2) strategy to be used in anticipation of small coefficients of variation (4 percent or less), and (3) a security regret strategy to be used in the absence of such prior knowledge