0-3岁婴幼儿亲子阅读中亲子互动策略优化的行动研究

基于 0-3 岁婴幼儿亲子阅读互动现状调查发现的家长互动经验缺乏、形式单一等问题,开展“计划—行动—观察—反思—再计划”三轮亲子阅读互动循环提升的行动研究。实践表明,创设情境多元互动、拓展经验促成互动、审美体验美化互动是提升阅读互动质量的有效策略;家长对婴幼儿身心发展特点和教育规律的认知、对美的鉴赏与表达能力是影响互动策略实施的重要因素;专家的精心指导和及时评价、家庭间的作品展示和体会交流是营造阅读互动氛围提升互动效果的良好举措。建议家长自主学习、积极实践、主动交流来推进有效互动策略的实施。     

新世纪中国城市电视媒体的机遇和挑战

中国城市电视媒体随着改革开放和城市化进程的加快而迅猛发展,但本世纪的“入世”使城市电视媒体承受着资金、文化碰撞、受众及人才争夺等多方面的挑战、压力和竞争,也获得了打破原有格局、相对自由竞争的大好机遇。但总体而言,挑战要大于机遇。     

Bribes,power, and managerial control in corporate voting games

Proxy fights have received comparatively little attention relative to the more popular methods for corporate control transfer: merger and tender offers. This paper presents an analytic model of the proxy contest as a cooperative game with four players: management, passive shareholders, insurgent shareholders and a trust fund. The power of the players and the effectiveness of certain managerial actions is discussed.     

建设婴幼儿友好社区：经验与启示

社区是影响婴幼儿发展及家庭养育的重要外部环境,完善0-3 岁婴幼儿托育服务体系对建设婴幼儿友好社区提出要 求。文章结合国际范围内儿童友好城市和社区建设的经验,从空间环境、服务内容、实施体系三个方面探讨建设婴幼儿友好社 区的基本需求。同时,基于国内已有的儿童友好城市或社区相关政策及现状,提出建设婴幼儿友好社区的三点建议：国家政策 引领,完善相关制度及规范;城市因地制宜,提升儿童友好意识;社区普惠亲子,善用内外资源;以期通过多方协作促进更多婴 幼儿友好社区在我国顺利落地。     

0-3 岁托育需求影响因素研究：基于对市场与政府的期望

2016年的全面二孩政策实施效果不及预期,我国的低生育水平难以改善。生育率的高低与生育意愿息息相关,随着三孩政策的出台,幼儿的托育困境作为制约广大群众生育意愿的重要因素亟需得到关注。运用武汉市3岁以下婴幼儿父母问卷调查数据,构建二元Logit模型研究群众因素、市场因素和政府因素与家庭托育需求之间的关系。研究发现:家庭结构、家庭收入、孩子年龄、影响工作程度,母亲受教育程度,托育市场的经济性、便利性和质量以及政府的政策支持会显著影响家庭的托育需求。基于实证结果,提出政策建议:推动托育服务供给主体多元化,促进托育服务规范化发展,发展普惠性公共托育服务,提升托育服务便利性,增强家庭抚育能力。     

托班区域材料投放的适宜性研究——基于78个托班的量表观察

区域活动是满足婴幼儿个性化发展的最佳途径,而区域材料投放的适宜性直接影响区域活动开展的质量。笔者运用量表对区域材料投放的适宜性进行观察评估,结果发现,区域材料投放质量较低。线性回归分析结果表明,教师学历、师幼比等变量对区域材料投放质量有显著影响。研究建议,国家要出台相关政策,严格把控教师学历,监控师幼比的达标程度;托班教师要增强0-3岁婴幼儿早期教育理论知识的学习,托育机构要定期开展“区域材料投放”的专题研讨活动,提高教师区域材料选择与投放的能力。     

Expected utility, μ-σ preferences,and linear distribution classes: A further result

This article is an extension of Meyer and Sinn's results on the representation of arbitrary von Neumann-Morgenstern functions in 068171348/xxlarge956.gif" alt="mgr" align="MIDDLE" border="0">-068171348/xxlarge963.gif" alt="sgr" align="BASELINE" border="0"> space when the probability distributions to be compared belong to a linear distribution class. It shows that, when absolute risk aversion decreases, stays constant, or increases not too fast, an increase in 068171348/xxlarge963.gif" alt="sgr" align="BASELINE" border="0">, given 068171348/xxlarge956.gif" alt="mgr" align="MIDDLE" border="0">, increases the indifference curve slope: increased riskiness increases the required marginal compensation for risk when risk is measured by the standard deviation of wealth or income.I gratefully acknowledge useful comments by Wolfgang Buchholz, Kai Konrad, Jack Meyer, Hans Schneeweiß, Dominique Thon, and Bengt Arne Wickström.     

On detecting outliers in the Pareto distribution

In this paper, we introduce two new statistics for detecting outliers in the Pareto distribution. These new statistics are the extension of the statistics for detecting outliers in exponential and gamma distributions. In fact, we compare the power of our test statistics with the other statistics and select the best test statistic for detecting outliers in the Pareto distribution. Finally, numerical examples of different insurance claims are used to see the performance of the test.     

Skewed zero-bound distributions and process capability indices for upper specifications

A common practical situation in process capability analysis, which is not well developed theoretically, is when the quality characteristic of interest has a skewed distribution with a long tail towards relatively large values and an upper specification limit only exists. In such situations, it is not uncommon that the smallest possible value of the characteristic is 0 and this is also the best value to obtain. Hence a target value 0 is assumed to exist. We investigate a new class of process capability indices for this situation. Two estimators of the proposed index are studied and the asymptotic distributions of these estimators are derived. Furthermore, we suggest a decision procedure useful when drawing conclusions about the capability at a given significance level, based on the estimated indices and their asymptotic distributions. A simulation study is also performed, assuming that the quality characteristic is Weibull-distributed, to investigate the true significance level when the sample size is finite.