Social Development in Hong Kong: Development Issues Identified by Social Development Index (SDI)

Surviving the aftermaths of the Asian Financial Crisis and SARS in 2003, Hong Kong’s economy has re-gained its momentum and its economic growth has been quite remarkable too in recent few years. Nevertheless, as reflected by the Social Development Index (SDI), economic growth in Hong Kong does not seem to have benefited the people of the city at large as we see social qualities such as cohesion, security, equity, and empowerment are gradually eroded. This paper aims to summarize the current state of social development in Hong Kong based on the SDI-2008 and identify the major social, political and economic challenges that are confronted by Hong Kong. Based on the findings, a range of policy options proposed for promoting a more balanced approach to social and economic development are discussed. The article illustrates the utility of social indicators research such as the SDI in assessing quality of life and assisting related social planning initiatives in Asian communities such as Hong Kong.     

Prediction based classification for longitudinal biomarkers

Assessment of circulating CD4 count change over time in HIV-infected subjects on antiretroviral therapy (ART) is a central component of disease monitoring. The increasing number of HIV-infected subjects starting therapy and the limited capacity to support CD4 count testing within resource-limited settings have fueled interest in identifying correlates of CD4 count change such as total lymphocyte count, among others. The application of modeling techniques will be essential to this endeavor due to the typically non-linear CD4 trajectory over time and the multiple input variables necessary for capturing CD4 variability. We propose a prediction based classification approach that involves first stage modeling and subsequent classification based on clinically meaningful thresholds. This approach draws on existing analytical methods described in the receiver operating characteristic curve literature while presenting an extension for handling a continuous outcome. Application of this method to an independent test sample results in greater than 98% positive predictive value for CD4 count change. The prediction algorithm is derived based on a cohort of n = 270 HIV-1 infected individuals from the Royal Free Hospital, London who were followed for up to three years from initiation of ART. A test sample comprised of n = 72 individuals from Philadelphia and followed for a similar length of time is used for validation. Results suggest that this approach may be a useful tool for prioritizing limited laboratory resources for CD4 testing after subjects start antiretroviral therapy.     

The Problem of Gender Identification in Conditions of Social Instability

Data from the Soviet period is compared with small-scale recent survey research in Chechnya. The author discusses legacy problems of female employment and empowerment in a society emphasizing patriarchal and Muslim values. She argues that outward appearances of religiosity, such as headscarves, do not necessarily equal inner faith. Distortions of gender identifications and social relationships are viewed as magnified in conditions of warfare and social upheaval.     

The Effects of Participation Rate on the Internal Reliability of Peer Nomination Measures

Although low participation rates have historically been considered problematic in peer nomination research, some researchers have recently argued that small proportions of participants can, in fact, provide adequate sociometric data. The current study used a classical measurement perspective to investigate the internal reliability (Cronbach's α) of peer nomination measures of acceptance, popularity, friendship, prosocial behavior, and overt aggression. Data from 642 participants attending 10 schools were resampled at different participation rates ranging from 5 percent to 100 percent of the original samples. Results indicated that (1) the association between participation rate and Cronbach's α was curvilinear across schools and variables; (2) collecting more data for a given variable (by using unlimited vs. limited nominations, or two vs. one items) was significantly related to higher internal reliability; and (3) certain variables (overt aggression, popularity) were more reliable than others (acceptance, friendship). Implications for future research were discussed.     

On the robustness of the extreme deviate test for a single multivariate outlier against heavy-tailed distributions

In this paper we assess the sensitivity of the multivariate extreme deviate test for a single multivariate outlier to non-normality in the form of heavy tails. We find that the empirical significance levels can be markedly affected by even modest departures from multivariate normality. The effects are particularly severe when the sample size is large relative to the dimension. Finally, by way of example we demonstrate that certain graphical techniques may prove useful in identifying the source of rejection for the multivariate extreme deviate test.     

Parkour: Adventure, Risk, and Safety in the Urban Environment

Parkour is a new sport based on athletically and artistically overcoming urban obstacles (e.g., climbing up and vaulting over walls). In this paper, I position parkour as a form of urban adventurism allowing for tests of individual character. This involves what I call rites of risk and rituals of symbolic safety. Together these rites and rituals allow individuals to seek out exciting and dangerous activities while couching their risk-taking in discourses and practices that affirm the value of the self. Thus, although parkour can be dangerous, practitioners use symbolic forms of safety to give their actions meaning and emphasize their ability to handle the risks involved.     

A slacks-based inefficiency measure for a two-stage system with bad outputs

We model the performance of DMUs (decision-making units) using a two-stage network model. In the first stage of production DMUs use inputs to produce an intermediate output that becomes an input to a second stage where final outputs are produced. Previous black box DEA models allowed for non-radial scaling of outputs and inputs and accounted for slacks in the constraints that define the technology. We extend these models and build a performance measure that accounts for a network structure of production. We use our method to estimate the performance of Japanese banks, which use labor, physical capital, and financial equity capital in a first stage to produce an intermediate output of deposits. In the second stage, those deposits become an input in the production of loans and securities investments. The network estimates reveal greater bank inefficiency than do the estimates that treat the bank production process as a black box with all production taking place in a single stage.