闻一多著作的版本演变和全集成型

闻一多作为中国现代诗人和现代学者,在现代文化史上留下了丰富的文本文献,其著作的出版经过了一个漫长的过程,其版本的演变比较复杂,全集的出版经历了从旧版到新版的演变。《闻一多全集》的编印具有多方面的价值,不仅有过鲜明的政治意义,尤其具有丰富的文化意义,即在中国现代文学史和现代学术史以及中国现代知识分子的精神变迁史方面的"标本"意义。     

Churning races in Canada: Visible minority response change between 2006 and 2011

Why do most people have stable responses to census race questions, while some do not? Using linked Canadian data, we examine personal, social, and economic characteristics that predict response stability as White or as one of six large visible minority groups, versus a change in response to/from White or to/from another visible minority group. Response change rates in Canada are generally comparable to those in the US, UK, and New Zealand. Likely reflecting the centuries-old hegemony of Whites in these countries, White is the most stable response group in Canada as well as the US, UK, and New Zealand. Multiple-race response groups are among the newest and least stable response groups. Social statuses and experiences (mixed ethnic heritage, immigration status, and exposure to own-group members) are generally more predictive of race response stability and change than economic (income level and change in income) or personal statuses (education, age). This highlights the socially-constructed nature of race group boundaries. Joining and leaving a group are often predicted by the same status/characteristic and in the same direction, hinting that the status/characteristic adds complexity to the race-related experiences of constituents.     

立足中国 借鉴国外 创建中国特色社会调查学

中国是世界上开展社会调查最早的国家之一中国共产党是世界上社会调查经验教训最丰富的政党西方现代社会研究方法的引进,既取得了历史性成就.又存在着许多问題中国至今尚未形成充分体现自己特色的社会调查学必须立足中国,借签国外.在马克思主义指导下,在中国社会主义现代化建设实践和中国社会调查史实基础上,正确处理“马克思主义与中国、西方的关系”“历史与理论、方法的关系”“现实与历史、虚拟的关系”以下简称“马中西”“史论法”“实史虚”关系融通古今中外各种资源,创建充分体现中国特色、中阒风格、中国气派的社会调查学。     

Women’s reports of satisfaction and respect with continuity of care experiences by students: Findings from a routine,online survey

BackgroundPre-registration midwifery students in Australia undertake a minimum of ten continuity of care experiences with childbearing women. However, women are rarely asked to formally evaluate this care by students.AimTo evaluate data from a routine, web-based survey of women about having a midwifery student provide a continuity of care experience.MethodsAll women (n = 886) recruited by a midwifery student for a continuity of care experience during a 12 month period received an email inviting them to complete an online survey. The survey included personal details, experiences of care, and two scales on Respect and Satisfaction.ResultsA response rate of 57% (n = 501) was achieved. On average students attended six antenatal visits (mean = 5.83) and had six postnatal contacts with women. Most students attended labour and birth (92.6% n = 464). Most women rated overall satisfaction with care by their student as ‘better than they had hoped’. Positive correlations were found between number of antenatal visits and postnatal contact with students on both levels of satisfaction and respect felt by women. Women felt more satisfied when their midwifery student attended labour and birth.ConclusionsThe online survey was feasible and provided valid and reliable feedback from women about their student during a continuity of care experience. Women valued having an ongoing relationship with a student during pregnancy, labour and birth, and postpartum. Pre-registration midwifery education programs should continue to privilege relationship-based care and national standards should support the effective integration of continuity of care experiences.     

Double and group acceptance sampling plan for truncated life test based on inverse log-logistic distribution

This paper introduces a double and group acceptance sampling plans based on time truncated lifetimes when the lifetime of an item follows the inverse log-logistic (ILL) distribution with known shape parameter. The operating characteristic function and average sample number (ASN) values of the double acceptance sampling inspection plan are provided. The values of the minimum number of groups and operating characteristic function for various quality levels are obtained for a group acceptance sampling inspection plan. A comparative study between single acceptance sampling inspection plan and double acceptance sampling inspection plan is carried out in terms of sample size. One simulated example and four real-life examples are discussed to show the applicability of the proposed double and group acceptance sampling inspection plans for ILL distributed quality parameters.     

21世纪初广西少数民族青年发展状况调查报告

21世纪初广西少数民族人口数量增长速度大幅减缓;少数民族性别比低于汉族,但各民族人口性别比攀高并有加剧之势.在择偶要求方面,民族关系、民族观念淡化,民族内婚的传统逐渐打破;择偶标准方面,少数民族青年更注重于人品、性格,而疏于家境、收入条件等物质因素.信仰共产主义,向往民主,自由、平等,在健康基础上追求知识、道德、理想.     

Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

Nonresponse is a very common phenomenon in survey sampling. Nonignorable nonresponse – that is, a response mechanism that depends on the values of the variable having nonresponse – is the most difficult type of nonresponse to handle. This article develops a robust estimation approach to estimating equations (EEs) by incorporating the modelling of nonignorably missing data, the generalized method of moments (GMM) method and the imputation of EEs via the observed data rather than the imputed missing values when some responses are subject to nonignorably missingness. Based on a particular semiparametric logistic model for nonignorable missing response, this paper proposes the modified EEs to calculate the conditional expectation under nonignorably missing data. We can apply the GMM to infer the parameters. The advantage of our method is that it replaces the non-parametric kernel-smoothing with a parametric sampling importance resampling (SIR) procedure to avoid nonparametric kernel-smoothing problems with high dimensional covariates. The proposed method is shown to be more robust than some current approaches by the simulations.     

Finite mixture of regression models for a stratified sample

Despite the popularity and importance, there is limited work on modelling data which come from complex survey design using finite mixture models. In this work, we explored the use of finite mixture regression models when the samples were drawn using a complex survey design. In particular, we considered modelling data collected based on stratified sampling design. We developed a new design-based inference where we integrated sampling weights in the complete-data log-likelihood function. The expectation–maximisation algorithm was developed accordingly. A simulation study was conducted to compare the new methodology with the usual finite mixture of a regression model. The comparison was done using bias-variance components of mean square error. Additionally, a simulation study was conducted to assess the ability of the Bayesian information criterion to select the optimal number of components under the proposed modelling approach. The methodology was implemented on real data with good results.     

Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.     

An improved cluster two-stage randomized response model

In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. The extended models result in more efficient estimators than Lee et al.'s (2014) estimators of the proportion of the population having a sensitive attribute.