Generalized estimator of population mean by using conventional and non-conventional measures in the presence of measurement errors

In survey research, it is assumed that reported response by the individual is correct. However, given the issues of prestige bias, self-respect, respondent's reported data often produces estimated values which are highly deviated from the true values. This causes measurement error (ME) to be present in the sample estimates. In this article, the estimation of population mean in the presence of measurement error using information on a single auxiliary variable is studied. A generalized estimator of population mean is proposed. The class of estimators is obtained by using some conventional and non-conventional measures. Simulation and numerical study is also conducted to assess the performance of estimators in the presence and absence of measurement error.     

自媒体时代高校社会主义核心价值观教育研究

随着自媒体时代的兴起,高校培育和践行社会主义核心价值观,应全面把握和深入分析自媒体时代的特征及其影响,分析在自媒体时代的冲击下,高校社会主义核心价值观教育所面临的机遇和挑战,探讨如何用多维度策略推进高校社会主义核心价值观的政治认同。     

新时期高等学校档案工作特点及发展思路

档案工作是高等学校一项重要的日常工作。随着高等教育事业的迅速发展和信息技术的广泛应用,新时期高校档案工作呈现出新的特点,档案的种类和数量成倍的增加,档案实体多元化、档案信息数字化的趋势日渐明显。同时,高校档案工作由于学校各项工作的挤压,也面临着地位的边缘化和受重视程度不够等诸多问题。文章针对当前高校档案工作中存在的问题提出了相应的发展思路。     

试析存在论视域的先秦道家审美观

从存在主义哲学的视野辨析先秦道家学说的存在论本质.道家的审美观念是基于"道境"的生存论体验,对"道境"的体悟决定了其对"本真美"的言说方式.这与儒家的审美观形成了鲜明的对比.     

21世纪以来代表性神话学家研究评述

21世纪以来,神话学获得了新的发展。当下富于代表性的欧美和东亚神话学家的研究成果,具有以下显著特点:一些传统的研究视角和方法,依然保持着旺盛的生命力;涌现出不少反思之作以及新的理论视角和方法;"神话"的边界依然流动不羁,因此在就神话进行学术对话时,必须明了所讨论概念的意涵及其所发生的语境;神话与科学之间的关系得到进一步探讨,20世纪视神话与科学为和谐互容的观点得到进一步深化,神话遵从于科学的情形遭到质疑。神话学不应一味将眼光投向遥远的过去,而应研究神话与当下现实生活的深度关联。     

我国“校漂族”研究现状述评

高校的不断扩招,毕业生就业双向选择,"学历社会"的逐步形成,使"校漂族"的人数日渐上升,从而引起了社会各界的广泛关注。文章以1985—2010年在中国期刊网上刊发的关于"校漂族"的所有文章为考察对象,从论文数量、论文级别及学科取向、研究方法、研究内容主题等方面评析了我国"校漂族"研究的总体状况,并指出研究中存在的问题,以期推动该领域的研究。     

Social Return on Investment of an Innovative Employment Option for Persons with Developmental Disabilities

Common Ground Co‐operative (CGC) provides training, administrative, and job coach support to five social enterprises for which persons with developmental disabilities are the non‐share‐capital partners. This study examines the use of social return on investment (SROI) as a means of determining the value of program impacts related to quality‐of‐life changes for enterprise partners and their families. The process of conducting this SROI analysis is described and analyzed in terms of its utility in employment services for persons with developmental disabilities.     

What's In It for the Volunteers?

This article reports on a social return on investment (SROI) analysis of volunteers of the Good Food Market program, a food access initiative run by FoodShare Toronto, one of Canada's largest food‐justice organizations. Unlike conventional SROI research, which typically focuses on the entire ecology of an organization or program, this article focuses solely on isolating the return volunteers receive on their investment of time, skills, energy, and the like—an SROI of volunteering. The article reviews the challenges of adapting the SROI methodology to the context of volunteer benefits and finds that ultimately SROI is a useful tool for articulating the value of volunteering.     

文化视野下的《聊斋志异》科第观

从文化的角度,即从个体科场失意的心理与士子普遍的科举心态的层面上,从选贤用能与个体的怀才不遇层面上,从儒家传统文化的传承与八股取士的层面上,从公平竞争的科举选拔制度与试官腐败的层面上,辩证、历史与客观地审视蒲松龄的作品《聊斋志异》所表现出的科第观,重新解读《聊斋志异》的科第观所带给我们的启示。     

Binary Dynamic Logit for Correlated Ordinal: estimation,application and simulation

We evaluate the estimation performance of the Binary Dynamic Logit model for correlated ordinal variables (BDLCO model), and compare it to GEE and Ordinal Logistic Regression performance in terms of bias and Mean Absolute Percentage Error (MAPE) via Monte Carlo simulation. Our results indicate that when the proportional-odds assumption does not hold, the proposed BDLCO method is superior to existing models in estimating correlated ordinal data. Moreover, this method is flexible in terms of modeling dependence and allows unequal slopes for each category, and can be used to estimate an apple bloom data set where the proportional-odds assumption is violated. We also provide a function in R to implement BDLCO.