中国哲学史写作相关问题的讨论述评

自“中国哲学”学科产生以来 ,有关该学科的一些根本性的问题一直有所争议 ,迄今未获定论。这些问题主要涉及到中国哲学的“合法性”、中国哲学史料的选择、中国哲学史的写作方法、哲学史与思想史的分别等内容。本文就有关这些问题发表的不同意见作一总结并略加评论。     

二语词汇语义迁移证明——两个实验方法比较

本文本文先简述了二语词汇表征和发展模式，此模式明确展示了二语词汇习得的过程和阶段。再从实验方法上对两个实验进行了比较，试图在二语词汇表征实证研究上并且在复制研究上给研究者们以启示。     

统筹兼顾：落实科学发展观的根本方法

统筹兼顾是落实科学发展观的根本方法,这是马克思主义唯物辩证法在发展问题上的科学运用,也是中国共产党革命建设长期探索的经验总结,更是在新的历史时期新的历史起点上,落实科学发展观的现实选择。     

Nonresponse weighting adjustment using estimated response probability

To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability, provided that the parameters which govern this probability are estimated by maximum likelihood. The authors discuss variance estimation methods that account for the effect of using the estimated response probability; they compare their performances in a small simulation study. They also discuss extensions to the regression estimator.     

情境在古诗词教学中的作用

情境教学法在古诗词教学中有重要作用,通过拓宽教育空间、缩短心理距离、注重角色效应、领悟诗词谐趣等四种途径可以增强情境教学的效果。     

焦虑的诱发因素及调控方法--以体操教学为例的研究

国内外心理学对学生的焦虑与运动成绩的相关研究已成为一个专门的课题。针对焦虑对学生体操技术掌握的影响，运用运动心理学有关理论对大学生体操教学中的焦虑诱发因素进行问卷调查，归纳了体操教学中诱发学生焦虑过度的原因，并对其主要影响因素进行分析，提出了控制学生的适宜焦虑水平的方法。     

义务教育乡镇管理体制评析

由于乡镇的财力单薄,管理水平偏低,管理心态失衡,乡镇政府难以有效管理本乡镇义务教育。改革义务教育乡镇管理体制,必须废除监护人直接支付的筹资方式,实行税收统筹分拨的筹资方式,建立省、县、乡三级义务教育管理体制,从经济上保证儿童受教育的权利。     

构建科学的教坛新秀评选体系

青年教师是高校教学科研的主力军,培养和造就一批高素质的青年教师队伍是推进高校素质教育的一项重要的战略任务,但他们中有许多人存在人文精神缺失及修养不足的问题,对高校的改革与发展产生了消极影响。为切实加强青年教师队伍建设,高校在广大青年教师中开展“教坛新秀”评选活动,以此激励广大青年教师的荣誉感和责任感,促进师德水平和教育教学质量水平的提高,意义深远。从评选理念出发,对教坛新秀的评选指标、评选条件、评选方法做了微观定位,以期为构建科学的教坛新秀评选体系提供参考。     

On an adaptive version of the Metropolis–Hastings algorithm with independent proposal distribution

In this paper, we present a general formulation of an algorithm, the adaptive independent chain (AIC), that was introduced in a special context in Gåsemyr et al . [ Methodol. Comput. Appl. Probab. 3 (2001)]. The algorithm aims at producing samples from a specific target distribution Π, and is an adaptive, non-Markovian version of the Metropolis–Hastings independent chain. A certain parametric class of possible proposal distributions is fixed, and the parameters of the proposal distribution are updated periodically on the basis of the recent history of the chain, thereby obtaining proposals that get ever closer to Π. We show that under certain conditions, the algorithm produces an exact sample from Π in a finite number of iterations, and hence that it converges to Π. We also present another adaptive algorithm, the componentwise adaptive independent chain (CAIC), which may be an alternative in particular in high dimensions. The CAIC may be regarded as an adaptive approximation to the Gibbs sampler updating parametric approximations to the conditionals of Π.     

Almost Consistent Estimation of Panel Probit Models with “Small” Fixed Effects

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small Tand large N. The moments used are derived for each period from a first order approximation of the mean of the dependent variable conditional on explanatory variables and on the fixed effect. The estimators differ w.r.t. the choice of instruments and whether they use trimming to reduce the bias or not. In a Monte Carlo study, we compare these estimators with pooled probit and conditional logit estimators for different data generating processes. The results show that the proposed estimators outperform these competitors in several situations.