The Attributes of Effective NGOs and the Leadership Values Associated with a Reputation for Organizational Effectiveness

Building on prior research characterizing organizational effectiveness as a social construction, this article identifies the perceived attributes of effective transnational nongovernmental organizations (NGOs) and the leadership values associated with higher reputations for organizational effectiveness. Results are based on an in‐depth, mixed‐method interview study of 152 NGO leaders located in the United States and representing all major sectors of organizational activity. Among the twenty‐nine attributes that leaders identified in peer organizations that they regarded as particularly effective, leaders stressed instantiation of sound principles or strategy, a grassroots approach, large organizational size and resources, being collaborative, singleness of focus, campaigning abilities, funding and fundraising prowess, global scope, and quality people. Furthermore, statistical analysis reveals that NGOs with leaders who value similarities with peer organizations, grassroots approaches, diversity of strategies, dedication, professionalism, and distributed organizational structures have significantly higher reputations for effectiveness.     

‘Keeping the story alive’: is ethnic and racial dilution inevitable for multiracial people and their children?

This paper explores how multiracial parents with White partners articulate narratives of ethnic and racial ‘dilution’ and cultural loss in relation to the socialization of their children. In our broader study of how multiracial parents raise their children, we found that parents commonly spoke of concerns around dilution and generational change in relation to four key themes: the loss of cultural knowledge and diminishing practices that connected parents and their children to a minority ancestry; the embodiment of White‐appearing children and the implications of this for family relationships; the use of biological or genetic discourses in relation to reduced blood quantum; and concerns amongst Black/White participants about whitening and the loss of racial consciousness. Parental understandings of dilution varied greatly; some expressed sadness at ‘inevitable’ loss; others were more philosophical about generational change; and others still proactively countered loss through strategies to connect their children to their minority heritages. We show that despite growing awareness of the social constructedness of race and an emergent cosmopolitanism among these parents, discourses of genetics, cultural lineage, and the ‘naturalness’ of race continue to hold sway amongst many multiracial parents.     

A Bayesian estimate of the concordance correlation coefficient with skewed data

Concordance correlation coefficient (CCC) is one of the most popular scaled indices used to evaluate agreement. Most commonly, it is used under the assumption that data is normally distributed. This assumption, however, does not apply to skewed data sets. While methods for the estimation of the CCC of skewed data sets have been introduced and studied, the Bayesian approach and its comparison with the previous methods has been lacking. In this study, we propose a Bayesian method for the estimation of the CCC of skewed data sets and compare it with the best method previously investigated. The proposed method has certain advantages. It tends to outperform the best method studied before when the variation of the data is mainly from the random subject effect instead of error. Furthermore, it allows for greater flexibility in application by enabling incorporation of missing data, confounding covariates, and replications, which was not considered previously. The superiority of this new approach is demonstrated using simulation as well as real‐life biomarker data sets used in an electroencephalography clinical study. The implementation of the Bayesian method is accessible through the Comprehensive R Archive Network. Copyright © 2015 John Wiley & Sons, Ltd.     

Small Area Estimation Using Estimated Population Level Auxiliary Data

Unit level linear mixed models are often used in small area estimation (SAE), and the empirical best linear unbiased prediction (EBLUP) is widely used for the estimation of small area means under such models. However, EBLUP requires population level auxiliary data, atleast area specific aggregated values. Sometimes population level auxiliary data is either not available or not consistent with the survey data. We describe a SAE method that uses estimated population auxiliary information. Empirical results show that proposed method for SAE produces an efficient set of small area estimates.     

混业经营:21世纪中国金融业发展的必由之路

混业经营是世界金融业发展的大趋势,它必将对中国金融业的发展产生重要影响。文章在阐述21世纪中国金融业混业经营的客观必然性的基础上,分析21世纪中国金融业混业经营的可行条件和现实障碍,并提出21世纪中国金融业混业经营的对策。     

新型树脂切割砂轮的研制

本文介绍一种新型的混合磨料树脂结合剂切割砂轮的制造技术,对其切割机理进行了探讨,系统阐述了影响树脂切割砂轮的切割效率、耐用度等方面的因素.     

Modeling longitudinal count data with dropouts

This paper explores the utility of different approaches for modeling longitudinal count data with dropouts arising from a clinical study for the treatment of actinic keratosis lesions on the face and balding scalp. A feature of these data is that as the disease for subjects on the active arm improves their data show larger dispersion compared with those on the vehicle, exhibiting an over‐dispersion relative to the Poisson distribution. After fitting the marginal (or population averaged) model using the generalized estimating equation (GEE), we note that inferences from such a model might be biased as dropouts are treatment related. Then, we consider using a weighted GEE (WGEE) where each subject's contribution to the analysis is weighted inversely by the subject's probability of dropout. Based on the model findings, we argue that the WGEE might not address the concerns about the impact of dropouts on the efficacy findings when dropouts are treatment related. As an alternative, we consider likelihood‐based inference where random effects are added to the model to allow for heterogeneity across subjects. Finally, we consider a transition model where, unlike the previous approaches that model the log‐link function of the mean response, we model the subject's actual lesion counts. This model is an extension of the Poisson autoregressive model of order 1, where the autoregressive parameter is taken to be a function of treatment as well as other covariates to induce different dispersions and correlations for the two treatment arms. We conclude with a discussion about model selection. Published in 2009 by John Wiley & Sons, Ltd.     

Recovery of inter-block information: extensions in a two variance component model

For a two variance component mixed linear model, it is shown that under suitable conditions there exists a nonlinear unbiased estimator that is better than a best linear unbiased estimator defined with respect to a given singular covariance matrix. It is also shown how this result applies to improving on intra-block estimators and on estimators like the unweighted means estimator in a random one-way model.     

Increasing the effectiveness of time-use survey with qualitative methods: The analysis of time–space interaction

Time-use surveys have been rich data sources in many countries for a long time. Turkey was among the countries that realized the potential of time-use surveys quite late and completed the first national survey in 2006. Despite its importance for a wide range of issues and applications, the first survey has flaws in design, which reduce its effectiveness and reliability. This is mostly due to disregarding cultural factors while tracking the methodology of European examples. This study aims to propose more appropriate methods of gathering time-use data in the Turkish context through a field survey in Ankara, the capital city. A mixed methodology that combines quantitative and qualitative methods effectively was applied and used to enrich data. The influence of space use was stressed and leisure activities were utilized to exemplify the use and benefits of mixed methods.     

Estimation of parameters of mixed failure time distribution

The problem of estimation of parameters of a mixture of degenerate and exponential distributions is considered. A new sampling scheme is proposed and the exact bias and the mean square error (MSE) of the maximum likelihood estimators of the parameters is derived. Moment estimators, their approximate biases and the MSE are obtained. Asymptotic distributions of the estimators are also obtained for both the cases.