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.     

School context influences the ethnic identity development of immigrant children in middle childhood

The present paper describes a study investigating the ethnic identity development of Latino immigrant children (n = 155) in middle childhood (ages 8–11) in a predominantly White community. The study examined how ethnic identity was related to children's school context. School context was operationalized at the structural level, as the ethnic composition of the teachers and peers, as well as the schools' implicit messages about their valuing of multiculturalism; and the proximal interpersonal level, as children's perceptions of peer discrimination and teacher fairness. Results indicated that both the structural and proximal context predicted children's ethnic label choices, the importance placed on their ethnic identity, the positivity of their ethnic identity, and their American identity.     

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.