Politics in evaluation: Politically responsive evaluation in high stakes environments

The role of politics has often been discussed in evaluation theory and practice. The political influence of the situation can have major effects on the evaluation design, approach and methods. Politics also has the potential to influence the decisions made from the evaluation findings. The current study focuses on the influence of the political context on stakeholder decision making. Utilizing a simulation scenario, this study compares stakeholder decision making in high and low stakes evaluation contexts. Findings suggest that high stakes political environments are more likely than low stakes environments to lead to reduced reliance on technically appropriate measures and increased dependence on measures better reflect the broader political environment.     

Merging information for semiparametric density estimation

Summary.  The density ratio model specifies that the likelihood ratio of m −1 probability density functions with respect to the m th is of known parametric form without reference to any parametric model. We study the semiparametric inference problem that is related to the density ratio model by appealing to the methodology of empirical likelihood. The combined data from all the samples leads to more efficient kernel density estimators for the unknown distributions. We adopt variants of well-established techniques to choose the smoothing parameter for the density estimators proposed.     

Data tilting for time series

Summary. We develop a general methodology for tilting time series data. Attention is focused on a large class of regression problems, where errors are expressed through autoregressive processes. The class has a range of important applications and in the context of our work may be used to illustrate the application of tilting methods to interval estimation in regression, robust statistical inference and estimation subject to constraints. The method can be viewed as 'empirical likelihood with nuisance parameters'.     

Real nonparametric regression using complex wavelets

Summary.  Wavelet shrinkage is an effective nonparametric regression technique, especially when the underlying curve has irregular features such as spikes or discontinuities. The basic idea is simple: take the discrete wavelet transform of data consisting of a signal corrupted by noise; shrink or remove the wavelet coefficients to remove the noise; then invert the discrete wavelet transform to form an estimate of the true underlying curve. Various researchers have proposed increasingly sophisticated methods of doing this by using real-valued wavelets. Complex-valued wavelets exist but are rarely used. We propose two new complex-valued wavelet shrinkage techniques: one based on multiwavelet style shrinkage and the other using Bayesian methods. Extensive simulations show that our methods almost always give significantly more accurate estimates than methods based on real-valued wavelets. Further, our multiwavelet style shrinkage method is both simpler and dramatically faster than its competitors. To understand the excellent performance of this method we present a new risk bound on its hard thresholded coefficients.     

高校科研管理工作的几点思考

本文从五个方面对高校科研管理工作进行了阐述,提出了一些自己的看法,旨在进一步改进科研管理工作.     

A simple procedure for the selection of significant effects

Summary.  Given a large number of test statistics, a small proportion of which represent departures from the relevant null hypothesis, a simple rule is given for choosing those statistics that are indicative of departure. It is based on fitting by moments a mixture model to the set of test statistics and then deriving an estimated likelihood ratio. Simulation suggests that the procedure has good properties when the departure from an overall null hypothesis is not too small.     

大学生心理问题及预防初探

当前 ,大学生心理问题不断出现 ,并由此引发了各种疾病 ,直接影响学生正常的学习和生活 ,为了帮助在校学生克服心理障碍 ,顺利完成学业 ,将来健康的走向社会、服务社会 ,作者建议各级教育管理部门及教育工作者 ,平时应重视学生出现的各种心理问题 ,用关心爱护、疏导等方式予以预防 ,只有这样 ,学生心理问题才能很好的得到解决 ,并愉快的投入到学习当中。     

对幼儿园男教师作用的初步研究

在学前教育领域,教师性别倾斜仍然是一个不争的事实。对教师性别比例不平衡的关注导致出现了许多关于在学前教育领域需加大男教师比例的呼吁。但是,有关学前教育领域男教师比例高低的影响的论述一直受实证证据少的限制。采用观察法、访谈法和实物研究等多种方法的对照,有助于获得对这一问题的新资料与新思考。     

如何定义“大国”？

 摘　　要:本文通过对各种关于“大国”定义的总结和分析，根据经济学原理给出了关于经济学意义的“大国”的定义。并分析了这种定义的优势，以及在该定义下进一步研究“大国”问题的方向     

社会工作专业课程体系建构的行动反思—以中华女子学院山东分院社会工作专业建设为例

本文根据女子院校高职高专层面社会工作专业课程体系的建设经验，在对社会工作专业课程体系进行5年行动研究的基础上，尝试着对课程体系的建构进行了行动性反思。在此基础上，提出了今后专业课程发展的趋向及后续研究的跟进。