The use of defence mechanisms as precursors to coming out in post-apartheid South Africa: a gay and lesbian youth perspective

This article comprises one facet of a larger, three-year phenomenological study (1997-2000) of gay and lesbian youth coming out in post-apartheid South Africa. A nonprobability sample of 18 young people, aged between 16 and 21 years, was interviewed. The resultant data was content analyzed, and the trustworthiness of the information was ensured via member checking and utilizing an independent coder. Results consistently revealed that gay and lesbian youth use defense mechanisms, such as denial, avoidance, compartmentalization, suppression, compensation, sublimation, undoing, displacement, rationalization, and intellectualization, in a conscious manner during their coming out process. The young people in this study demonstrated resilience despite the prejudice and inner turmoil that they had experienced. Practice guidelines are suggested in terms of how health and social care practitioners can support gay and lesbian youth in coping with their coming out process.     

Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires

There has been increasing use of quality-of-life (QoL) instruments in drug development. Missing item values often occur in QoL data. A common approach to solve this problem is to impute the missing values before scoring. Several imputation procedures, such as imputing with the most correlated item and imputing with a row/column model or an item response model, have been proposed. We examine these procedures using data from two clinical trials, in which the original asthma quality-of-life questionnaire (AQLQ) and the miniAQLQ were used. We propose two modifications to existing procedures: truncating the imputed values to eliminate outliers and using the proportional odds model as the item response model for imputation. We also propose a novel imputation method based on a semi-parametric beta regression so that the imputed value is always in the correct range and illustrate how this approach can easily be implemented in commonly used statistical software. To compare these approaches, we deleted 5% of item values in the data according to three different missingness mechanisms, imputed them using these approaches and compared the imputed values with the true values. Our comparison showed that the row/column-model-based imputation with truncation generally performed better, whereas our new approach had better performance under a number scenarios.     

Profile information matrix for nonlinear transformation models

For semiparametric models, interval estimation and hypothesis testing based on the information matrix for the full model is a challenge because of potentially unlimited dimension. Use of the profile information matrix for a small set of parameters of interest is an appealing alternative. Existing approaches for the estimation of the profile information matrix are either subject to the curse of dimensionality, or are ad-hoc and approximate and can be unstable and numerically inefficient. We propose a numerically stable and efficient algorithm that delivers an exact observed profile information matrix for regression coefficients for the class of Nonlinear Transformation Models [A. Tsodikov (2003) J R Statist Soc Ser B 65:759-774]. The algorithm deals with the curse of dimensionality and requires neither large matrix inverses nor explicit expressions for the profile surface.     

撒马尔罕和它的湛蓝的圆顶塔——帖木儿故国游记

在旅行者头脑里有一幅幻想的地图,象蜘蛛网一样,上面密布着奇光异彩的城市,它们的名字象美妙的音乐一样悦耳。撒马尔罕就是其中一个城市,它的魅力来自它名字的四个奇妙的音节,好象银铃一样叮咚作响。鲁宾·达利奥眺望远方的地平线时,一首赞美撒马尔罕的《徘徊之曲》油然而成:     

穆斯林的复兴要求

在一本伊斯兰先知的旧书中写道:“将出现一个和平和稳定的新时期”。但是,在伊斯兰纪元的第十五世纪(就是说穆罕默德于622年从麦加逃亡到麦地那,从此开创了一个新的历史时期和伊斯兰教的光辉纪元),这种在其萌芽时期所做的不够慎重的估计似乎并没有得到证实。今天,整个穆斯林世界都在沸腾。伊朗正在向阿拉伯石油世界宣传它的革命经验;在马来西亚,“安拉的军队”,一个决定恢复“真正的信仰”的传教士组织,希望把所有的异教徒扔进海洋;在菲律宾,政府未能成功地制止南部穆斯林的叛乱;在土耳其,宗派之争在一年之内     

Assessing the relevance of higher education courses

The establishment of the European Higher Education Area has involved specifying lists of professional competencies that programs are expected to develop, and with this the need for procedures to measure how every course within a higher education program is aligned with the program's competencies. We propose an instrument for characterizing this alignment, a process that we call assessing the relevance of a course. Using information from the course syllabus (objectives, contents and assessment scheme), our instrument produces indicators for characterizing the syllabus in terms of a competence list and for assessing its coherence. Because assessment involves quality, the results obtained can also be used to revise and improve the course syllabus. We illustrate this process with an example of a methods course from a mathematics teacher education program at a Spanish university.     

Quality of life among lifetime victimized men

Quality of life was compared for lifetime victimized (n = 353) and nonvictimized men (n = 167) for demographic and quality of life variables by a cross-sectional design. The univariate analyses showed that victims compared to nonvictims had a lower quality of life, were younger, more often had upper secondary school education, and were more often blue-collar/low white-collar workers, on student allowances, on unemployment, financially strained, and smokers. The regressions revealed that unemployment, financial strain, smoking, depression, and home/public abuse were associated with reduced quality of life among victimized men. Being a blue-collar/low/intermediate white-collar worker and social support were related to increased quality of life. This study may have provided new insights into the experiences of quality of life of victimized men.     

College and university compliance with a required meningococcal vaccination law

OBJECTIVE: Maryland became the first state to pass a vaccination law requiring college and university students living on campus to obtain a meningococcal vaccination or to sign a waiver refusing vaccination because college students are at increased risk for disease. The authors sought to identify how Maryland colleges addressed the law and determine whether schools were in full compliance. PARTICIPANTS: The authors surveyed 32 college/university administrators via a self-administered questionnaire. METHODS: The authors calculated vaccination and waiver rates and assessed compliance with the law overall and with specific law components. RESULTS: Among 28 participating schools, annual vaccination rates and waiver rates among students during 2000-2004 ranged from 66%-76% and 12%-17%, respectively. Two (7%) schools were compliant with all components of the law. CONCLUSIONS: Mandatory vaccination laws do not ensure compliance at the college and university level. Mandatory reporting, increased education, and collaboration between colleges and universities and public health agencies are needed.     

Evaluating mission drift in microfinance: lessons for programs with social mission

The article contributes to a better understanding of implications of scaling up on the social mission of microfinance programs. It proposes a methodology to measure the extent, if any, to which a microfinance program with a poverty alleviation mission drifts away from its mission during rapid scaling up and presents findings from a field research using the proposed methodology at Activists for Social Alternatives (ASA), a microfinance organization that serves poor women in rural India. The findings indicate that mission drift is not a result of deliberate decisions by the management or board but rather is a result of the challenges posed by the scaling-up process. At times, changing trends in social outcomes were not obvious, and management was not aware of the changes indicated by the proposed measures of social performance.     

Death by survey: Estimating adult mortality without selection bias from sibling survival data

The widely used methods for estimating adult mortality rates from sample survey responses about the survival of siblings, parents, spouses, and others depend crucially on an assumption that, as we demonstrate, does not hold in real data. We show that when this assumption is violated so that the mortality rate varies with sibship size, mortality estimates can be massively biased. By using insights from work on the statistical analysis of selection bias, survey weighting, and extrapolation problems, we propose a new and relatively simple method of recovering the mortality rate with both greatly reduced potential for bias and increased clarity about the source of necessary assumptions.