Mental health status of the Hmong Americans in 2011: three decades revisited

This article provides a comprehensive overview of the Hmong in America and encompasses their mental health status for the past 35 years. Since their mass arrival to the United States in 1975, limited research has been compiled to track the specific mental health issues that affect this collective community alone. Major chronological research findings were compiled for this article and specific findings concerning the Hmong and their mental health issues were compared to findings for other Southeast Asian groups. In conclusion, the findings of this article indicate that the Hmong still have higher rates of being diagnosed with depression, the lowest help-seeking behaviors in utilizing Western medicine, and the lowest arithmetic average of "happiness" scaled on an assessment tool. The purpose of this article is to better steer future research projects that entail tracking and differentiating the specific mental health domains of the Hmong.     

Using evidence-based accreditation standards to promote continuous quality improvement: the experiences of the San Mateo County Human Services Agency

Following a difficult period of service provision, an agency determined that drastic changes were needed to improve agency-wide capacity and functioning. The agency engaged in an organizational level self-assessment aimed at identifying areas for improvement and beginning work towards determining professional standards for service. Results of this organizational self-assessment paved the way for pursuing accreditation of its services, and the agency became the first public agency in its state to be accredited by the Council on Accreditation in all eligible services. This case study describes this agency's efforts in engaging in an organizational self-assessment, the analysis and codification of their practices, and their eventual development of a systematized process for capturing, evaluating and improving practice.     

Managing dependency in China outsourcing relationships

Abstract

This paper examines manufacturing firms’ use of guanxi and formal control to address dependence on suppliers and achieve desired outsourcing performance in China. Using survey data collected from manufacturing firms operating in China, a structural equation model is used to test the research model. The results suggest that manufacturing firms with high dependence on suppliers build Chinese guanxi with those suppliers to overcome the dependence and enhance outsourcing performance. In addition, Chinese guanxi also appears to facilitate the use of formal control, which was also found to have a positive relationship with outsourcing performance. This paper contributes to the literature by illustrating the importance of guanxi in achieving desired outsourcing performance in the China context, particularly in the case where a manufacturer perceives high dependency on its major supplier.     

Public Attitudes towards Income Redistribution: Evidence from Hong Kong

The drivers of public support for redistributive policy have stimulated academic debate around the world. The majority of studies use cross‐country surveys conducted in the Organisation for Economic Co‐operation and Development countries to contribute to the debate on whether self‐interest or social values have more influence on public attitudes towards redistribution. Drawing on a phone survey conducted in 2013, this study advances the discussion by investigating public attitudes towards redistribution and social policy changes against the backdrop of buoyant government revenues in Hong Kong. The Hong Kong welfare model, best seen as a parallel to the liberal welfare state, is selective and residual. Contrary to the usual assumption, the social values hypothesis, viewing poverty as societal problems instead of individual reasons, has been supported in the Hong Kong context. It lends support to greater redistribution in a residual welfare state. The policy implications of the findings are also discussed.     

On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes’ care planning process

Data envelopment analysis (DEA) is a deterministic econometric model for calculating efficiency by using data from an observed set of decision-making units (DMUs). We propose a method for calculating the distribution of efficiency scores. Our framework relies on estimating data from an unobserved set of DMUs. The model provides posterior predictive data for the unobserved DMUs to augment the frontier in the DEA that provides a posterior predictive distribution for the efficiency scores. We explore the method on a multiple-input and multiple-output DEA model. The data for the example are from a comprehensive examination of how nursing homes complete a standardized mandatory assessment of residents.     

Consistency of minimizing a penalized density power divergence estimator for mixing distribution

In this paper, we study the MDPDE (minimizing a density power divergence estimator), proposed by Basu et al. (Biometrika 85:549–559, 1998), for mixing distributions whose component densities are members of some known parametric family. As with the ordinary MDPDE, we also consider a penalized version of the estimator, and show that they are consistent in the sense of weak convergence. A simulation result is provided to illustrate the robustness. Finally, we apply the penalized method to analyzing the red blood cell SLC data presented in Roeder (J Am Stat Assoc 89:487–495, 1994). This research was supported (in part) by KOSEF through Statistical Research Center for Complex Systems at Seoul National University.     

Noninformative priors for the common mean in the bivariate normal distribution

In this paper, we consider some noninformative priors for the common mean in a bivariate normal population. We develop the first-order and second-order matching priors and reference priors. We find that the second-order matching prior is also an HPD matching prior, and matches the alternative coverage probabilities up to the second order. It turns out that derived reference priors do not satisfy a second-order matching criterion. Our simulation study indicates that the second-order matching prior performs better than the reference priors in terms of matching the target coverage probabilities in a frequentist sense. We also illustrate our results using real data.