文化自觉:校园文化建设的新维度

伴随全球化和现代性的进一步扩展,世界呈现的不是启蒙以来西方文化普世化导致的一致性,而是文明多样性的延续。实践证明,背离了传统,文化将难以有真正意义上的自我反省、自我觉醒和自我创建。中国传统文化不是历史真空瓶子里让人顶礼膜拜就可以自我发展的神器,没有适合当下生活的现代解释,人们对她只能是有客观需求、缺学习方法和无研习动力。实现中国文化继承和创新,必须要有传统文化适应当下历史条件的客观认知和诠释,并在此基础上丰富传统文化教育。     

提高国培计划“影子研修”环节实效性的探索与实践

"影子研修"作为"国培计划"置换脱产研修培训的关键环节,其效果的优劣必将决定着培训质量的高低甚至成败。本文以广西师范学院为个案分析学校在组织"影子研修"过程中遇到的常见问题和解决途径,并提出促进继续教育有效性的建议。     

2013年西方马克思主义研究述评

坚持和发展马克思主义,必须重视加强对西方马克思主义的研究。2013年学界对西方马克思主义的研究主要集中在人物、流派、问题等个案研究方面,研究水平参差不齐,总体研究和比较研究偏少,研究方法也不丰富。为此,应从不同的视角开展对西方马克思主义的研究,为马克思主义基本理论的研究提供依据和支持,从而维护和发展马克思主义。     

Life satisfaction in China and consumption and income inequalities

This research uses nationally representative data to study how economic resources and inequalities are associated with life satisfaction of Chinese residents. We construct economic resource and inequality measures from expenditure rather than from income, after confirming that expenditure inequality is a better measure in the Chinese context. We find that economic inequalities in general are negatively associated with life satisfaction, and that this association is larger for inequalities in the lower half of the distribution than those in the upper half of the distribution. We further explore the mechanisms under which inequality can be associated with life satisfaction, and find that aspiration is potentially one important channel.     

民办高校新生自我和谐与应对方式的关系

本文通过探讨民办高校大一学生自我和谐与应对方式的关系,为民办高校心理健康教育提供参考。本文对369名民办高校大一学生运用自我和谐量表和应对方式问卷进行测查,用独立样本t检验比较了高自我和谐度和低自我和谐度组应对方式各因子的差异,并对自我和谐各因子和应对方式各因子进行了相关分析。本文认为民办高校大一学生主要应对方式是解决问题和求助;高自我和谐度组比低自我和谐度组更多使用解决问题、求助两种方式,而低自我和谐度组比高自我和谐度组更多使用自责、幻想、退避和合理化的方式;自我和谐与应对方式显著相关。本文认为改变不合理的应对方式对学生的自我和谐有一定的积极意义,自我心理辅导应成为学校心理健康教育的重要内容。     

Penalised spline estimation for generalised partially linear single-index models

Generalised linear models are frequently used in modeling the relationship of the response variable from the general exponential family with a set of predictor variables, where a linear combination of predictors is linked to the mean of the response variable. We propose a penalised spline (P-spline) estimation for generalised partially linear single-index models, which extend the generalised linear models to include nonlinear effect for some predictors. The proposed models can allow flexible dependence on some predictors while overcome the “curse of dimensionality”. We investigate the P-spline profile likelihood estimation using the readily available R package mgcv, leading to straightforward computation. Simulation studies are considered under various link functions. In addition, we examine different choices of smoothing parameters. Simulation results and real data applications show effectiveness of the proposed approach. Finally, some large sample properties are established.     

Schematic saturated orthogonal arrays obtained by using the contractive replacement method

This paper presents a general method of constructing schematic saturated orthogonal arrays of strength two. We consider a class of mixed saturated orthogonal arrays produced from saturated symmetric orthogonal arrays by using the contractive replacement method, study the Hamming distances of the rows, construct their association schemes, and prove that they are schematic. Some examples are given to illustrate this construction method.     

A new confidence interval in measurement error model with the reliability ratio known

For the slope parameter of the measurement error model with the reliability ratio known, this article constructs a fiducial generalized confidence interval (FGCI) which is proved to have correct asymptotic coverage. Simulation results demonstrate that the FGCI often outperforms the existing intervals in terms of empirical coverage probability, average interval length, and false parameter coverage rate. Two examples are also provided to illustrate our approach.     

非线性面板数据聚类方法研究

对于一类变量非线性相关的面板数据,现有的基于线性算法的面板数据聚类方法并不能准确地度量样本间的相似性,且聚类结果的可解释性低。综合考虑变量非线性相关问题及聚类结果可解释性问题,提出一种非线性面板数据的聚类方法,通过非线性核主成分算法实现对样本相似性的测度,并基于混合高斯模型进行样本概率聚类,实证表明该方法的有效性及其对聚类结果的可解释性有所提高。     

Improved likelihood inferences for Weibull regression model

A general procedure is developed for bias-correcting the maximum likelihood estimators (MLEs) of the parameters of Weibull regression model with either complete or right-censored data. Following the bias correction, variance corrections and hence improved t-ratios for model parameters are presented. Potentially improved t-ratios for other reliability-related quantities are also discussed. Simulation results show that the proposed method is effective in correcting the bias of the MLEs, and the resulted t-ratios generally improve over the regular t-ratios.