残疾儿童心理健康内涵及结构初探

心理健康是儿童生活和健康成长的保障,相较于普通儿童,在某些方面具有障碍或缺陷的残疾儿童更容易出现情绪和行为问题,其心理健康状况堪忧,迫切需要得到更多的关注和有效的干预.本文基于心理健康的概念和标准,结合残疾儿童的身心发展特点,厘清了残疾儿童心理健康的内涵,其实质是努力达成残疾儿童与外界环境的适度平衡和内心的和谐,即良好的社会适应.在此基础上,从社会适应心理机能的活动领域和特质内容两个维度入手,初步构建出残疾儿童心理健康的五领域(自我意识、人际交往、学习适应、生活适应、社会支持)与三内容(认知、情绪情感、意志行为)相交叉的二维结构模型,为进一步开展残疾儿童心理健康教育的实践工作奠定理论基础.     

在"成功"与"失败"之间--浅谈休闲游戏挑战式的学习方式与电脑辅助教学

CAI不应简单地照搬标准化测试的模式;CAI也不应简单地把传统课本上的内容‘克隆’到电脑上;CAI应当尽量发挥电脑的优势,做出不同于传统教学模式的特色。     

A NEW PROCEDURE FOR ASSESSING LARGE SETS OF CORRELATIONS

In this paper, a new test of the hypothesis that all the correlations between a set of variables are zero is proposed. It is based on the asymptotic behaviour of the largest of the observed correlation coefficients. Here “asymptotic” refers to the size of the correlation matrix considered. Simulations show that the critical levels, calculated using the asymptotic theory, are conservative but quite accurate, even for small correlation matrices.     

Comparison of approaches for estimating the probability of coastal flooding

Coastal flooding is typically caused by combinations of extreme water-levels and large waves. Two extreme value methods, one univariate and the other multivariate, have been used for estimating the probability of coastal flooding at an existing flood defence structure and for aiding the design of a new structure. The properties of these two methods are compared in terms of extrapolation, sophistication and use of information for a range of extremal dependence structures. We find that, when applied to the assessment of the safety offered by an existing Dutch dike, the multivariate approach provides the more useful and accurate design information and has the substantial benefits of consistency and reduced statistical analysis when applied to several sites along a Dutch coastline.     

Simultaneous Confidence Intervals for Ratios of Fixed Effect Parameters in Linear Mixed Models

In multiple comparisons of fixed effect parameters in linear mixed models, treatment effects can be reported as relative changes or ratios. Simultaneous confidence intervals for such ratios had been previously proposed based on Bonferroni adjustments or multivariate normal quantiles accounting for the correlation among the multiple contrasts. We propose Fieller-type intervals using multivariate t quantiles and the application of Markov chain Monte Carlo techniques to sample from the joint posterior distribution and construct percentile-based simultaneous intervals. The methods are compared in a simulation study including bioassay problems with random intercepts and slopes, repeated measurements designs, and multicenter clinical trials.     

资本结构、股权结构、成长机会与公司绩效

本文在代理成本理论的架构下,以公司成长机会为背景,分析了资本结构和股权结构对公司绩效的影响,并利用 1998 年年底之前在上海和深圳两个交易所上市的 498 家上市公司 1999 至 2001 年三年间1494 个观察值为样本进行了实证分析。结果表明,对于不同成长性的公司而言, 资本结构和股权结构对公司绩效的影响存在较大差异,从而为我们选择理想的资本结构和股权结构提供了有益的启示。     

优化出口商品结构的非线性目标规划模型、算法及应用

本文讨论了出口商品结构优化的目标及对约束条件的确定,进而建立了优化出口商品结构非线性目标规划模型,提出了求解的近似规划法,并以中国为实例进行了求解和分析,得到了我国出口商品最优结构及一些有意义的建议。     

Combining analytical hierarchy process and Choquet integral within non-additive robust ordinal regression

We consider multiple criteria decision aiding in the case of interaction between criteria. In this case the usual weighted sum cannot be used to aggregate evaluations on different criteria and other value functions with a more complex formulation have to be considered. The Choquet integral is the most used technique and also the most widespread in the literature. However, the application of the Choquet integral presents two main problems being the necessity to determine the capacity, which is the function that assigns a weight not only to all single criteria but also to all subset of criteria, and the necessity to express on the same scale evaluations on different criteria. While with respect to the first problem we adopt the recently introduced Non-Additive Robust Ordinal Regression (NAROR) taking into account all the capacities compatible with the preference information provided by the DM, with respect to the second one we build the common scale for the considered criteria using the Analytic Hierarchy Process (AHP). We propose to use AHP on a set of reference points in the scale of each criterion and to use an interpolation to obtain the other values. This permits to reduce considerably the number of pairwise comparisons usually required by the DM when applying AHP. An illustrative example details the application of the proposed methodology.     

Robust Ordinal Regression and Stochastic Multiobjective Acceptability Analysis in multiple criteria hierarchy process for the Choquet integral preference model

The paper deals with two important issues of Multiple Criteria Decision Aiding: interaction between criteria and hierarchical structure of criteria. To handle interactions, we apply the Choquet integral as a preference model, and to handle the hierarchy of criteria, we apply the recently proposed methodology called Multiple Criteria Hierarchy Process. In addition to dealing with the above issues, we suppose that the preference information provided by the Decision Maker is indirect and has the form of pairwise comparisons of criteria with respect to their importance and pairwise preference comparisons of some pairs of alternatives with respect to some criteria. In consequence, many instances of the Choquet integral are usually compatible with this preference information. These instances are identified and exploited by Robust Ordinal Regression and Stochastic Multiobjective Acceptability Analysis. To illustrate the whole approach, we show its application to a real world decision problem concerning the ranking of universities for a hypothetical Decision Maker.     

基于多重抽样框的校准估计方法研究

在现代抽样调查中,校准估计方法能够通过有效利用辅助信息来提高估计量的精度,多重抽样框抽样调查则不仅可以解决单一抽样框覆盖不全的问题,还可以节约抽样设计阶段的成本。本文将这两种现代抽样估计与设计方法进行结合,将校准估计方法引入到基于多重抽样框的抽样调查体系中,在实现节约调查成本的同时,还能够提高估计量的精度。文章首先按照分离抽样框与组合抽样框估计方法的分类思路,对传统多重抽样框估计方法进行系统梳理;然后在最短距离法校准估计的分析框架下,按照调查时所能掌握辅助信息的具体情况,给出了两类多重抽样框估计情形下的各种不同形式的校准估计量;随后数值分析的比较结果也表明在多重抽样框中校准估计量的估计效率明显优于传统估计量;最后对本文研究进行总结的基础上,给出了我国抽样实践中应用这套先进抽样估计方法体系的展望。