Fluidity amidst structure: multi-racial identity constructions across the life course of Malaysians and Singaporeans

ABSTRACT

Multi-racial identity construction is understood to be fluid, contextual and dynamic. Yet the dynamics of multi-racial identity construction when racial identities are ascribed and formulated as static by governments is less explored in psychological studies of race. This paper examines the dynamics of racial identity construction among multi-racial Malaysians and Singaporeans in a qualitative study of 31 semi-structured interviews. Thematic analysis was used to identify the different private racial identity constructions of participants who were officially ascribed with single racial identities at birth. Participants reflected on the overwhelming influence of the state and significant Others in limiting their ability to express their multiple racial identities when they were in school, and highlighted their capacity to be agentic in their private racial identity constructions when they were older. This paper shows that across the life course multi-racial individuals possess (1) the ability to adopt different racial identity positions at different times, (2) the ability to hold multiple racial identity constructions at the same time when encounters with Others are dialogical, (3) the reflexivity of past identity positions in the present construction of identities.     

Estimation of relative risk for events on a linear network

Motivated by the study of traffic accidents on a road network, we discuss the estimation of the relative risk, the ratio of rates of occurrence of different types of events occurring on a network of lines. Methods developed for two-dimensional spatial point patterns can be adapted to a linear network, but their requirements and performance are very different on a network. Computation is slow and we introduce new techniques to accelerate it. Intensities (occurrence rates) are estimated by kernel smoothing using the heat kernel on the network. The main methodological problem is bandwidth selection. Binary regression methods, such as likelihood cross-validation and least squares cross-validation, perform tolerably well in our simulation experiments, but the Kelsall–Diggle density-ratio cross-validation method does not. We find a theoretical explanation, and propose a modification of the Kelsall–Diggle method which has better performance. The methods are applied to traffic accidents in a regional city, and to protrusions on the dendritic tree of a neuron.

     

Impact of Absolute and Relative Commute Time on Work–Family Conflict: Work Schedule Control,Child Care Hours,and Life Satisfaction

Journal of Family and Economic Issues - Flexibility is crucial when employees manage their work and family demands and their commute between home and work. The current study examined...     

It Takes a Village to Deliver and Test Child and Family-Focused Services

OBJECTIVES: The purpose of this article is to highlight the benefits of collaboration in child focused mental health services research. METHOD: Three unique research projects are described. These projects address the mental health needs of vulnerable, urban, minority children and their families. In each one, service delivery was codesigned, interventions were co-delivered and a team of stakeholders collaboratively tested the impact of each one. RESULTS: The results indicate that the three interventions designed, delivered, and tested are associated with reductions in youth mental health symptoms. CONCLUSION: These interventions are feasible alternatives to traditional individualized outpatient treatment.     

Estimation under systematic sampling schemes for parabolic populations

In this paper, three sampling-estimating strategies involving linear, balanced and modified systematic sampling are considered for the estimation of a finite population total in the presence of parabolic trend. Using appropriate super-population models, their performances are evaluated. For super-population models with constant variance, Yates corrected estimator under linear systematic sampling is shown to perform well. Choices of variance functions under which modified and balanced systematic sampling perform well are also identified based on extensive numerical studies.     

Drug abuse treatment training in Peru. A social policy experiment

A social policy experiment is presented that was conducted from 1997 to 2000 in a setting with a high level of readiness for implementing a randomized experiment of therapeutic community (TC) drug treatment training in Peru. Seventy-six drug abuse treatment organizations were randomly assigned into three groups, and data were collected at multiple assessment periods. Staff and directors in organizations assigned to the training groups participated in either 6-week basic training or 8-week basic plus booster training sessions, which were theoretically grounded. Small- to medium-size positive effects were found on increased staff empowerment to use actual tools and principles from the training; medium and large positive effects were found on the implementation of TC methods with fidelity after the training. A follow-up with the funding and training organizations 1 year later showed use of the evaluation results in decision making in both organizations.     

Kernel Density Estimation on a Linear Network

This paper develops a statistically principled approach to kernel density estimation on a network of lines, such as a road network. Existing heuristic techniques are reviewed, and their weaknesses are identified. The correct analogue of the Gaussian kernel is the ‘heat kernel’, the occupation density of Brownian motion on the network. The corresponding kernel estimator satisfies the classical time‐dependent heat equation on the network. This ‘diffusion estimator’ has good statistical properties that follow from the heat equation. It is mathematically similar to an existing heuristic technique, in that both can be expressed as sums over paths in the network. However, the diffusion estimate is an infinite sum, which cannot be evaluated using existing algorithms. Instead, the diffusion estimate can be computed rapidly by numerically solving the time‐dependent heat equation on the network. This also enables bandwidth selection using cross‐validation. The diffusion estimate with automatically selected bandwidth is demonstrated on road accident data.     

The Relationship Between Psychological Understanding and Positive Social Behaviors

This research investigates the relationship between psychological understanding and positive social behavior in preschool children. A sample of 67 children were given measures of mental state understanding and emotion understanding. Positive social behavior was measured by classroom observation, teacher report and peer ratings. Both mental state understanding and emotion understanding were positively related to teacher ratings of social skills, behavioral observers’ global ratings of social skills and peer popularity. When language ability was partialled out of these relationships, many of the significant correlations disappeared; however, for variables related to peers’ perceptions, psychological understanding continued to predict unique variance. The results are discussed in terms of the multiple determinacy of positive social behaviors and the potential role of language in these processes.     

A Collaboratively Designed Child Mental Health Service Model: Multiple Family Groups for Urban Children with Conduct Difficulties

This paper presents preliminary outcomes associated with an experimental, longitudinal study of a Multiple Family Group (MFG) service delivery approach set within thirteen urban outpatient clinics serving children and their families living in inner-city, primarily African American and Latino communities. Specifically, this paper focuses on parent reports of child oppositional behavior and parenting stress over time. MFG is a flexible, protocol-driven approach designed to address the most common reason for referral to outpatient child mental health clinics, childhood behavioral difficulties. The MFG also aims to enhance family-level engagement and retention in ongoing care. Further, the service delivery model was collaboratively developed with intensive input from parents rearing children with conduct difficulties, parent advocates, community-based child mental health providers and services research staff in order to ultimately expand the number of effective service models that can be situated within "real world," urban child mental health settings.